Journal of Global Health: Home Journal of Global Health
Watch: Survival: The Story of Global Health - FREE
JoGH Recommends:

Peer Review Conference



Creative Commons Licence
This work is licensed under a
Creative Commons Attribution
4.0 International License
.


Shadi Saleh, Amena El Harakeh, Maysa Baroud, Najah Zeineddine, Angie Farah, and Abla Mehio Sibai

Abstract

Background

Global mortality rates resulting from non-communicable diseases (NCDs) are reaching alarming levels, especially in low- and middle-income countries, imposing a considerable burden on individuals and health systems as a whole. This scoping review aims at synthesizing the existing literature evaluating the cost associated with the management and treatment of major NCDs across all Arab countries; at evaluating the quality of these studies; and at identifying the gap in existing literature.

Methods

A systematic search was conducted using Medline electronic database to retrieve articles evaluating costs associated with management of NCDs in Arab countries, published in English between January 2000 and April 2016. 55 studies met the eligibility criteria and were independently screened by two reviewers who extracted/calculated the following information: country, theme (management of NCD, treatment/medication, or procedure), study design, setting, population/sample size, publication year, year for cost data cost conversion (US$), costing approach, costing perspective, type of costs, source of information and quality evaluation using the Newcastle–Ottawa Scale (NOS).

Results

The reviewed articles covered 16 countries in the Arab region. Most of the studies were observational with a retrospective or prospective design, with a relatively low to very low quality score. Our synthesis revealed that NCDs’ management costs in the Arab region are high; however, there is a large variation in the methods used to quantify the costs of NCDs in these countries, making it difficult to conduct any type of comparisons.

Conclusions

The findings revealed that data on the direct costs of NCDs remains limited by the paucity of this type of evidence and the generally low quality of studies published in this area. There is a need for future studies, of improved and harmonized methodology, as such evidence is key for decision-makers and directs health care planning.


Global mortality rates resulting from non-communicable diseases (NCDs) are reaching alarming levels with an increase from below 8 million between 1990 and 2010 to 34.5 million during year 2010 [1]. This figure is estimated to reach 52 million by 2030 [2,3]. Notably, low- and middle-income countries (LMICs) witnessed highest percentage increase of NCDs deaths with an expected average of 7 out of every 10 deaths occurring in developing countries by 2020 [4]. Eighty two percent of these deaths are caused by four major NCDs, namely cardiovascular diseases, chronic respiratory diseases (asthma and chronic obstructive pulmonary disease in particular), cancer, and diabetes [5-7]. Consistent with global trend, the Arab region was witnessing an increasing NCDs burden [8]. In Lebanon, 85% of deaths are attributed to NCDs [9,10], while in Morocco and Kuwait, NCDs account for 75% and 73% of deaths, respectively [11,12]. Furthermore, while deaths caused by infectious diseases are declining in the West, some countries in the region still carry a double burden of disease like Sudan, where 34% of deaths are attributable to NCDs, and 53% still result from communicable diseases [12,13]. The latter challenge of dealing with multiple diseases is intensified by several factors: limited human and financial resources, weak surveillance system, limited access to health care services and lack of financial protection in terms of insurance or public funding [14].

Worldwide, the rising burden of death and disability attributed to NCDs threatens the functionality and effectiveness of the health sector and imposes risks on economic stability and development of societies [15,16]. In several developed and developing countries, health costs and productivity loss associated with management of diabetes alone represent a significant share of gross domestic product (GDP), reaching 1% share from the US economy [17]. Economists are expressing major concerns about the long-term macroeconomic impact of NCDs on capital accumulation and GDP worldwide, with most severe consequences likely to be felt by developing countries [18]. In fact, it is estimated that NCDs costs will reach more than US$ 30 trillion in the coming two decades [19] further challenging the ability of health care systems to cope with these rising costs, especially in resource-scarce countries [18].

Considerable literature exists on economic evaluation and costs associated with NCDs in different regions worldwide, mostly in high-income countries (HICs) [20-23]. However, to date, no such studies exist in LMICs [4,24-27] and minimal effort was undertaken to synthesize and analyze current evidence addressing this issue in a comprehensive review [28-30]. Additionally, there has not been any attempt to collate and review relevant literature and evaluate the quality of existing studies on NCDs’ cost in the Arab region. This study aims to identify and synthesize available published evidence evaluating the cost associated with management and treatment of major NCDs across all Arab countries; to appraise critically these studies’ quality; and to identify the gap in existing literature. This study’s findings will aid in building a profile of the financial burden of NCDs in the Arab region, which would support and direct health care planning and future health research.

METHODS

Search strategy and inclusion criteria

A systematic search was conducted using Medline electronic database to identify and retrieve articles evaluating the cost associated with management of NCDs in all 22 Arab countries; namely: Algeria, Bahrain, Comoros, Djibouti, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Mauritania, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Somalia, Sudan, Syria, Tunisia, United Arab Emirates and Yemen. Based on their global economic burden on governments and populations, the following NCDs were selected: cardiovascular diseases, cancer, chronic respiratory diseases and diabetes [31]. Only papers published in English between January 2000 and April 2016 inclusive were included. The complete search strategy applied in this review is available in Appendix S1 of Online Supplementary Document(Online Supplementary Document) , and key inclusion and exclusion criteria are presented in Figure 1 . The search strategy used MeSH terms and keywords relative to each of the four NCDs, their risk factors and costing including: Tobacco, Nutrition/Diet, Alcohol and Substance Abuse, Physical Inactivity, Hypertension, Cholesterol, Hyperlipidemia, Metabolic Syndrome, Salt and Sodium Intake, Diabetes, Cardiovascular disease, Cancer, Chronic Lung Dysfunction, Asthma, COPD, Renal Dysfunction, and Chronic Diseases, Health Care Costs, Health Expenditure, Health Resources, Insurance, Reimbursement, Fees, Charges, Feasibility Studies and Cost Benefit Analysis. The terms were combined with each of the 22 countries in the Arab region. Retrieved articles were screened and reviewed to assess their eligibility based on their content and study population. A total of 725 papers were identified to fit the initial search criteria. After removing duplicates, 707 papers remained for further screening.

Figure 1.  Flowchart of articles identified, included and excluded.
jogh-08-020410-F1


Study selection

Titles and abstracts of the initially identified articles were screened by two independent reviewers to assess whether they fulfill the selection criteria using keywords including cost/costing, feasibility, utilization, finance/financing, payment, reimbursement, coverage and charge, expenses, monetary outcomes and resource investment. Articles not including any of the above-mentioned keywords in the title or abstract were excluded. Hence, 534 articles were identified for full text review and were assessed by the two reviewers for relevance with regard to the research topic. Only those articles that provided direct quantification of costs associated with NCDs, their treatment, management, or risk factors within the target countries were included. Studies conducted outside of Arab region were excluded. Any disagreement between the two reviewers was resolved by discussion and consensus or through consultation with a third reviewer when needed. The identified eligible articles accounted for a total of 55 articles, tackling the issue of NCDs’ costs within at least one of the Arab countries.

Data abstraction

Data was extracted from full texts included in this review using a data collection form composed of the following criteria ( Table 1 ):

Table 1.  Overview of the characteristics of the studies included in this scoping review*
Source Year of publication/ year for cost data Country Study design Sample size NCD addressed   Source of data
Aďt-Khaled et al [32] 2000/1998 Algeria and Syria Cross-sectional 10 countries Asthma Health system
Al Khaja et al [33] 2001/1998 Bahrain Cross-sectional 3838 patients Hypertension Primary health care centers
Caro et al [34] 2002/1999 Egypt and Jordan Cross-sectional 10 countries, 199 and 232 patients (from patient membership lists) from Egypt and Jordan respectively with patients less than 10 y old being the largest age group. Thalassemia Major Health system
Behbehani and Al-Yousifi [35] 2003/1996 Kuwait Cross-sectional 36 (12 family and 24 non-family) primary health care centers Asthma Primary health care centers
Shaheen and Al Khader [36] 2005/2004 Kingdom of Saudi Arabia Literature review N/A Chronic Renal Failure N/A
Arevian [37] 2005/2002 Lebanon Prospective follow up 375 patients Primary health care center (socio-medical health center)
Elrayah et al [38] 2005/2003 Sudan Descriptive cross-sectional Diabetes 3 public and 3 private clinics
AlMarri [39] 2006/2002 Qatar Cross-sectional analysis Childhood diabetes mellitus type 1 Asthma Health system
El-Zawahry et al [40] 2007/1999-2002 Egypt Retrospective study 82 adult AML patients Cancer – AML (acute myeloid leukemia) Health system (National Cancer Institute)
Batieha et al [41] 2007/2003 Jordan Cross-sectional 1711 patients Chronic Renal Failure Health system (56 hemodialysis units)
Abdel-Rahman et al [42] 2008/2003-2007 Jordan Review 320 patients Cancer Cancer center
Ali et al [43] 2008/2007 Kingdom of Saudi Arabia Prospective observational study & computer simulation model 598 patients Diabetes Health system
Dennison et al [44] 2008/2006 Sultanate of Oman Cohort study 128 patients Hematologic disorders University hospital
El-Zimaity et al [45] 2008/2005-2008 Egypt Cohort study 16 patients Hematologic disorders University Bone Marrow Transplant Unit
Strzelczyk et al [46] 2008/2006 Sultanate of Oman Systematic Review 486 patients aged >13 years Epilepsy Hospital
Al-Naggar et al [47] 2009/2008 Yemen Cross-sectional study 105 female doctors Breast cancer Four main hospitals in capital
Sabry et al [48] 2009/2008 Kingdom of Saudi Arabia Cross-sectional study 23 adult chronic renal failure patients stabilized on hemodialysis Chronic renal failure Health system
Sweileh et. al [49] 2009/2006 Palestine Descriptive study 95 patients Cardiovascular (ischemic stroke) Hospital
Shams & Barakat [50] 2010/2008 Egypt Cross-sectional study 226 patients Diabetes University hospital
Al-Maskari [51] 2010/2005 United Arab Emirates Cross-sectional study 150 patients Diabetes Two hospitals
Boutayeb et al [52] 2010/2007 Morocco Cost analysis N/A Breast cancer Country
Denewer et al [53] 2010/2007 Egypt Cross-sectional study 5900 women Breast cancer Rural areas
Elrayah-Eliadarous et al [54] 2010/2005 Sudan Cross-sectional study 822 patients Diabetes Public and private diabetes clinics
Valentine et al [55] 2010/2008 Kingdom of Saudi Arabia Systematic Review 598 patients Diabetes Health system
Farag et al [56] 2011/2010 Egypt and Kingdom of Saudi Arabia Review NA Diabetes Health system
Osman et al [57] 2011/2009 Kingdom of Saudi Arabia Prospective observational study 205 patients Cardiovascular (ischemic heart disease) Major cardiac center
Alameddine & Nassir [58] 2012/2010 Kingdom of Saudi Arabia Retrospective study 516 patients Bladder cancer Medical center
Berraho et al [59] 2012/2009 Morocco Cohort study 1978 new cases Cervical cancer Health system
Soliman & Roshd [60] 2012/2010 Egypt Cross-sectional study 155 patients End-stage renal disease Nephrology centers
Tachfouti et al [61] 2012/2004 Morocco Cross-sectional study 3500 new cases Lung cancer Health system
Al-Busaidi et al [62] 2013/2010 Sultanate of Oman Cost analysis 91 646 adults and 55 426 children Asthma Health system
Algahtani et al [63] 2013/2010 Kingdom of Saudi Arabia Prospective randomized clinical study 103 patients Deep vein thrombosis Tertiary care hospital
Alhowaish [64] 2013/2010 Kingdom of Saudi Arabia Cross-sectional study 3.4 million patients Diabetes Health system
Almutairi and Alkharfy [65] 2013/2010-2011 Kingdom of Saudi Arabia Retrospective observational study 300 patients Diabetes University hospital
Al-Rubeaan et al [66] 2013/2012 Kingdom of Saudi Arabia Descriptive study 84 942 patients Diabetes Saudi National Diabetes Registry
Al-Sharayri et al [67] 2013/2012 Jordan Cross-sectional study 556 prescriptions Diabetes Outpatient pharmacy in a medical center
Al-Shdaifat and Manaf [68] 2013/2010 Jordan Cross-sectional study 175 patients Chronic Renal Failure 3 Hospitals
Ghanname et al [69] 2013/2010 Morocco Cost analysis N/A Asthma Health system
Khadadah [70] 2013/2005 Kuwait Cost analysis 93 923 adult patients and 70 158 children patients Asthma Health system
Alzaabi et al [71] 2014/2011 United Arab Emirates Retrospective study 139 092 patients Asthma Health system
Ghanname et al [72] 2014/2010 Morocco Cost analysis N/A Asthma Health system
Lamri et al [73] 2014/2013 Algeria Literature review N/A Diabetes Health system
Mason et al [74] 2014/2010 Tunisia, Syria and Palestine Cost-effectiveness analysis N/A Coronary heart disease Health system
Isma'eel et al [75] 2012/2011 Lebanon, Bahrain, Jordan, Kuwait, Saudi Arabia, UAE and Oman Descriptive study N/A Coronary heart disease Health system
Younis et al [76] 2011/2008 Palestine Cost analysis N/A Coronary heart disease Tertiary care hospital
Shafie et al [77] 2014/2010 Algeria and Kingdom of Saudi Arabia Cost-effectiveness analysis 279 and 901 respectively Diabetes Health system
Al-Busaidi et al [78] 2015/2013 Sultanate of Oman Commentary N/A Asthma Health system
Al-Kaabi & Atherton [79] 2015/2010 Qatar Review N/A 4 NCDs (cancer, cardiovascular, COPD and diabetes) Health system
Antar et al [80] 2015/2011 Lebanon Retrospective analysis 83 patients Cancer (multiple myeloma) Tertiary care hospital
Eltabbakh et al [81] 2015/2011 Egypt Prospective, single-center cohort study 1286 patients Liver cirrhosis Tertiary care hospital
Gupta et al [82] 2015/2013 Kingdom of Saudi Arabia Cost-effectiveness analysis 680 patients Diabetes Health system
Home et al [83] 2015/2013 Algeria Cost-effectiveness analysis 473 patients Diabetes Health system
Schubert et al [84] 2015/2015 United Arab Emirates Network meta-analysis N/A Diabetes Health system
Thaqafi et al [85] 2015/2015 Kingdom of Saudi Arabia Cost analysis N/A Hematologic cancer Health system
Ahmad et al [86] 2016/2014 Sultanate of Oman Retrospective study 50 adult cardiac arrest patients who had undergone CPR Cardiac arrest Hospital

CPR – cardiopulmonary resuscitation, NCD – non-communicable disease, COPD– Chronic obstructive pulmonary disease

*N/A refers to not applicable whereby the data of interest is not specified in the respective reference.



  • Country – based on study location;

  • Category – based on main theme/topic addressed: management of the NCD, treatment/medication, or procedure;

  • Study design – classified as cross-sectional, cohort, review, or systematic review/meta-analysis;

  • Setting – described as being a health system, cases from primary healthcare center, hospital, or clinic (private vs. public);

  • Population/Sample size;

  • Year of publication;

  • Year for cost data;

  • Costing approach – classified as bottom up or top down;

  • Costing perspective – classified as societal, governmental, provider or patient;

  • Type of costs – classified as direct medical, indirect medical and indirect;

  • Source of information – classified as survey, medical record, health information survey or electronic database.

The findings are presented by type of NCD. US$ were used when assessing economic costs across all studies to enhance comparability. Other reported local currencies were converted to US$ based on the exchange rate specified by the corresponding study. When exchange rate was not mentioned, conversion to US$ was performed using the conversion rate specific to the year of publication of the study.

Quality evaluation

The quality of included cross-sectional, case-control and cohort studies was evaluated using the Newcastle–Ottawa Scale (NOS), which is based on three domains: selection, comparability and exposure [87]. A maximum of one star can be awarded to each question in the selection category and one star to each question included in the exposure category, while a maximum of two stars can be awarded to a single question in the comparability section. For each study, a quality score is then generated by adding up the number of stars given and would not exceed 9 stars. The modified version of the NOS used for descriptive and cross-sectional studies was adopted from the systematic review conducted by Jaspers et al (2015) [88].

RESULTS

We initially identified 725 potentially eligible references published between 2000 and 2016 ( Figure 1 ). Of those, and after title and abstract and full text screenings, 55 studies met the inclusion criteria and were thoroughly described in the review.

Overview of included studies

The reviewed articles covered most of the Arab region, yet no data was available from 6 of the 22 Arab countries, namely Iraq, Somalia, Libya, Mauritania, Djibouti and Comoros. The majority of studies (n = 27) originated from high-income Arab countries, while 19 were conducted in lower-middle income and 12 were from upper-middle income Arab countries. This reflected GDP variation across the reviewed articles. Most studies were conducted in the Kingdom of Saudi Arabia (n = 15), Egypt (n = 8) and Jordan (n = 7) whereas 5 studies were conducted in multiple countries ( Table 1 ). Included studies were mainly observational with retrospective or prospective design, few other studies were modeling, reviews, systematic reviews, meta-analyses, commentaries and cost analyses. In 30 studies, the setting represented was the health system. The remaining studies sampled eligible participants from hospitals (n = 15), medical centers (n = 5), primary health care centers (n = 3) and private and public clinics (n = 2) ( Table 1 ).

The most frequently studied NCD was diabetes (n = 18) whereas chronic respiratory diseases (mainly asthma, n = 9) and cancer were each analyzed in 11 studies. Twelve studies focused on cost associated with management of cardiovascular diseases while 7 studies focused on other NCDs mainly chronic renal failure ( Table 1 ). Only one study addressed the four NCDs together.

All of the included studies reported direct medical costs associated with the management of the four major non-communicable diseases in the Arab region. Some studies (n = 15) also included indirect costs such as loss of productivity and premature death. While only one article described direct non-medical costs that are not directly related to medical services such as transportation. ( Table 4 ).

Table 4.  Results indicating cost associated with the management of other NCDs reported in the included studies
Source Country Addressed NCD Population studied /contacted Category/ Costing Scope Outcome specified as Point estimate (in US$) Quality score
Shaheen and Al Khader [36] Kingdom of Saudi Arabia Chronic renal failure NA Procedure Annual cost incurred toward maintenance hemodialysis 19 400 NA
Batieha et al [41] Jordan Chronic renal failure Patients on hemodialysis Procedure Total annual cost of hemodialysis including hemodialysis sessions, medications and investigations, admissions and arterial access 29 715 553 4
Strzelczyk et al [46] Sultanate of Oman Epilepsy Patients aged >13 years old Management % attributed to inpatient admission 52% NA
Sabry et al [48] Kingdom of Saudi Arabia Chronic renal failure Adult chronic renal failure patients stabilized on hemodialysis Treatment Mean cost of 6 mo use of (1) tinzaparin sodium per patient compared to that of (2) unfractionated heparins (1) 67.57 and (2) 51.23 2
Soliman & Roshd [60] Egypt End-stage renal disease Chronic renal failure patients Management (1) annual cost for thrice-weekly hemodialysis, (2) cost of CAPD catheter insertion, (3) annual cost of 3 to 4 fluid exchanges, (4) costs for pre-transplantation and transplantation procedures, (5) annual costs for immunosuppressive drugs (1) 3250, (2) 150, (3) [4500-6000], (4) 6000-7500 and (5) 3250-6000 1
Al-Shdaifat and Manaf [68] Jordan Chronic renal failure Chronic renal failure patients Procedure (1) total annual cost at MOH and (2) annual cost per patient (1)17.7 million and (2) 9976 3
Eltabbakh et al [81] Egypt Liver cirrhosis Liver cirrhosis patients Procedure Annual cost of detecting a treatable HCC case by (1) ultrasound and (2) by both ultrasound and AFP (1) 560 and (2) 650 2

MOH – Ministry of Health, HCC – Hepatocellular carcinoma, AFP –Alpha-fetoprotein, CAPD – Continuous ambulatory peritoneal dialysis

*N/A refers to “not applicable” whereby the data of interest is not specified in the respective reference.



Cost data collected through surveys represented the most commonly used data source (n = 19) while 12 studies relied on data retrieved from health information systems of ministries, hospitals and insurance companies followed by prior estimates published in the literature, which is represented as electronic database (n = 12) in Table 5 . Medical records were used in eight studies and a data source was not applicable for the component costs of one study. Some studies included several cost components and data sources without giving a clear description of which data sources were used for particular components.

Table 5.  Results indicating costing approach, costing perspective, type of costs and sources of information associated with the management of the NCDs reported in the included studies*
Source Year Costing approach Costing perspective Type of costs Sources of information*
Aďt-Khaled et al [ 32 ] 2000 Bottom up Governmental Direct medical and indirect Survey
Al Khaja et al [ 33 ] 2001 Bottom up Societal Direct medical Survey
Caro et al [ 34 ] 2002 N/A Patient Direct medical and indirect Survey
Behbehani and Al-Yousifi [ 35 ] 2003 Top down Provider Direct medical Survey
Shaheen and Al Khader [ 36 ] 2005 N/A Governmental Direct medical NA
Arevian [ 37 ] 2005 N/A Provider Direct medical and indirect Medical record
Elrayah et al [ 38 ] 2005 Bottom up Provider Direct medical and indirect Survey
Al Marri [ 39 ] 2006 Bottom up Provider Direct medical Health information system
El-Zawahry et al [ 40 ] 2007 Bottom up Patient Direct medical Medical record
Batieha et al [ 41 ] 2007 Bottom up Patient Direct medical Survey
Abdel-Rahman et al [ 42 ] 2008 Bottom up Provider Direct medical Medical record
Ali et al [ 43 ] 2008 Bottom up Provider Direct and indirect medical cost Survey
Dennison et al [ 44 ] 2008 Top down Provider Direct medical Medical record
El-Zimaity et al [ 45 ] 2008 N/A Patient Direct medical Medical record
Strzelczyk et al [ 46 ] 2008 Bottom up Patient Direct medical and indirect Electronic databases
Al-Naggar et al [ 47 ] 2009 N/A Provider Direct medical Survey
Sabry et al [ 48 ] 2009 N/A Patient Direct medical Survey
Sweileh et. al [ 49 ] 2009 Bottom up Patient Direct medical Survey
Shams & Barakat [ 50 ] 2010 N/A Patient Direct medical and indirect Survey
Al-Maskari [ 51 ] 2010 Bottom up Patient Direct medical Survey
Boutayeb et al [ 52 ] 2010 Bottom up Provider Direct medical Secondary data
Denewer et al [ 53 ] 2010 Bottom up Patient Direct medical Survey
Elrayah-Eliadarous et al [ 54 ] 2010 Top down Patient Direct medical Survey
Valentine et al [ 55 ] 2010 Bottom up Provider Direct medical Electronic databases
Farag et al [ 56 ] 2011 Bottom up Provider Direct medical Electronic databases
Osman et al [ 57 ] 2011 Bottom up Provider Direct medical Medical record
Alameddine & Nassir [ 58 ] 2012 Top down Provider Direct medical Medical record
Berraho et al [ 59 ] 2012 Bottom up Patient Direct medical Health information system
Soliman & Roshd [ 60 ] 2012 Bottom up Patient Direct medical Survey
Tachfouti et al [ 61 ] 2012 Bottom up Governmental Direct medical Health information system
Al-Busaidi et al [ 62 ] 2013 Bottom up Patient Direct medical Electronic databases
Algahtani et al [ 63 ] 2013 Bottom up Provider Direct medical Health information system
Alhowaish [ 64 ] 2013 Top down Governmental Direct medical Health information system
Almutairi and Alkharfy [ 65 ] 2013 Bottom up Governmental Direct medical Health information system
Al-Rubeaan et al [ 66 ] 2013 Bottom up Governmental Direct medical Health information system
Al-Sharayri et al [ 67 ] 2013 Bottom up Provider Direct medical Medical record
Al-Shdaifat and Manaf [ 68 ] 2013 Bottom up and top down Provider Direct medical and nonmedical and indirect Health information system
Ghanname et al [ 69 ] 2013 Bottom up Patient Direct medical Health information system
Khadadah [ 70 ] 2013 Bottom up Patient Direct medical Survey
Alzaabi et al [ 71 ] 2014 Bottom up Government Direct medical Health information system
Ghanname et al [ 72 ] 2014 Bottom up Patient Direct medical Health information system
Lamri et al [ 73 ] 2014 Top down Patient Direct medical and indirect Electronic databases
Mason et al [ 74 ] 2014 Top down Governmental and Provider Direct medical and indirect Survey
Younis et al [ 76 ] 2011 N/A Provider Direct medical Health information system
Isma'eel et al [ 75 ] 2012 N/A Patient Direct medical Electronic databases
Shafie et al [ 77 ] 2014 Bottom up Patient Direct medical and indirect Survey
Al-Busaidi et al [ 78 ] 2015 Bottom up Patient Direct medical Electronic databases
Al-Kaabi & Atherton [ 79 ] 2015 Top down Societal Direct medical and indirect Electronic databases
Antar et al [ 80 ] 2015 Bottom up Provider Direct medical Health information system
Eltabbakh et al [ 81 ] 2015 Bottom up Patient Direct medical and indirect Survey
Gupta et al [ 82 ] 2015 Bottom up Societal Direct medical and indirect Electronic database
Home et al [ 83 ] 2015 Bottom up Societal Direct medical and indirect Electronic database
Schubert et al [ 84 ] 2015 Bottom up Provider Direct medical Electronic database
Thaqafi et al [ 85 ] 2015 Bottom up Provider Direct medical Electronic database
Ahmad et al [ 86 ] 016 Top down Patient Direct medical Health information system

*N/A refers to “not applicable” whereby the data of interest is not specified in the respective reference.



Among the 55 studies included, 23 (42%) studies described the patient’s perspective and 21 (38%) studies described the provider’s perspective in estimating the costs highlighting that the majority of the studies focused on the costs that fall on either patients or health care institutions providing health services. Eight studies looked at the governmental costs associated with NCDs. The remaining studies (n = 8) described the societal level costs.

Although most of the studies did not clearly indicate the costing approach used, the overall aim of the cost analysis and the sources of data assisted in determining the costing approaches followed. Most of the studies (n = 36) estimated the costs using a bottom up approach or micro-costing, while only nine studies relied on a top-down approach or gross-costing in their measurements. Only one study reported using both approaches, while identifying the costing approach was not applicable in seven of the included studies.

Quality of the included studies

The majority of the studies were appointed a quality score (34 of the 55 included studies). In the studies where a quality score was not assigned, the study design and methodology made quality assessment not feasible. The median quality score over all the studies was three out of nine (interquartile range 2-4). Two thirds of the eligible and scored studies scored three points or less, showing that most of the studies were of low to very low quality.

Cardiovascular diseases

As part of a cost-effectiveness analysis by Mason et al (2014) for the implementation of salt reduction policies [74], health care cost of coronary heart diseases (CHD) in Palestine was estimated ( Table 2 ). The calculation of health care cost of CHDs incorporated standardized unit cost per patient for a number of CHD conditions, namely, acute myocardial infractions (AMI), secondary prevention following AMI, unstable angina, chronic heart failure (treated in a hospital setting, or in the community), and hypertension [74]. Healthcare cost of coronary heart diseases in Palestine was estimated to be US$ 354 719 519 [74] ( Table 2 ).

Table 2.  Results indicating cost associated with the management of the cardiovascular diseases and cancer reported in the included studies
Source Country Addressed NCD Population studied/contacted Category/ Costing Scope Outcome specified as Point estimate (in US$) Quality score
Cardio-vascular diseases:
Al Khaja et al [33] Bahrain Hypertension Patients with uncomplicated essential hypertension Medication Monthly cost of an antihypertensive drug (indapamine) 7.7 4
Caro et al [34] Egypt and Jordan Thalassemia major Patients or their caregivers if less than 14 years old Management (1) % of hospitalized patients with a mean LOS of 10 days during the past 6 months, (2) days missed from employment and (3) days missed from school during 1 month (1) 20%, (2) 2 days and (3) 3 days 3
Dennison et al [44] Sultanate of Oman Hematologic disorders Patients who need hematopoietic stem cell transplant Procedure Approximate cost per uncomplicated transplant 50 000 2
El-Zimaity et al [45] Egypt Hematologic disorders Patients with chronic or acute myeloid leukemia, aplastic anemia, acute lymphoblastic leukemia or aggressive lymphoma Procedure Average estimate cost per transplant 8446 1
Sweileh et. al [49] Palestine Ischemic stroke Stroke patients Treatment (therapy and medications) Average monthly cost for treatment of post-stroke complications 52 6
Osman et al [57] Kingdom of Saudi Arabia Ischemic heart disease (IHD) Patients diagnosed or suspected to have IHD Management Average direct cost (medication, hospital bed use and procedure) per patient 10 710 4
Algahtani et al [63] Kingdom of Saudi Arabia Deep vein thrombosis Symptomatic adult patients with acute proximal DVT of the lower limbs Treatment Mean outpatient treatment cost per case 1750 3
Ahmad et al [86] Sultanate of Oman Cardiac arrest >18 y old who had cardiac arrest, received at least one attempt at CPR and were potential DNR candidates Management Average cost of post-resuscitation care per patient including cost of medications, laboratory investigations, imaging, minor procedures and hospital stay in ICU or HDU 1958.9 5
Al-Kaabi & Atherton [79] Qatar Cardiovascular diseases NA Treatment Total direct and indirect cost including personal medical; non-medical costs, and income losses 863 billion NA
Mason et al [74] (1) Tunisia, (2) Syria and (3) Palestine Coronary heart disease NA Management The total cost saving of having a combination of 3 salt-reduction policies (1) 39 000 000, (2) 6 000 000 & (3) 1 300 000 NA
Isma'eel et al [75] (1) Lebanon, (2) Bahrain, (3) Jordan, (4) Kuwait, (5) Saudi Arabia, (6) UAE and (7) Oman Cardiovascular event Public Treatment Cost of treatment using 3 types of statins to prevent 1 CV event in 5 years (1) 79 388-105 589, (2) 81 505-190 530, (3) 109 578-112 348, (4) 122 786-202 147, (5) 81 323-122 786, (6) 113 260-217 203, (7) 111 143-202,575 1
Younis et al [76] Palestine Cardiac catheterization N/A Procedure Total cost of unit (medical equipment, salaries, overhead costs, and variable costs) 613 544.63 NA
Cancer:
El-Zawahry et al [40] Egypt Acute myeloid leukemia Adult AML patients Treatment Median total cost of conventional chemotherapy per case 5817 3
Abdel-Rahman et al [42] Jordan Mainly leukemia, nonmalignant hematological disorders and thalassemia major Transplant patients Procedure Average charge of (1) autologous and (2) allogeneic transplants (1) 35 067 and (2) 66 438 NA
Al-Naggar et al [47] Yemen Breast cancer Female OBGYN doctors Procedure % of doctors who do not send asymptomatic women for screening 23.8% (25 doctors) NA
Boutayeb et al [52] Morocco Breast cancer NA Treatment Total cost of breast cancer chemotherapy per case 13 360 NA
Denewer et al [53] Egypt Breast cancer Women in rural areas Treatment (1) cost of screening per cancer case, (2) total cost of treatment for screened cases (1) 415 and (2) 1015-1215 3
Alameddine & Nassir [58] Kingdom of Saudi Arabia Bladder cancer Suspected urothelial cancer patients Procedure Total cost of 563 urine cytology tests 37 533 4
Berraho et al [59] Morocco Cervical cancer New cases Management Total cost of care one year after diagnosis 13 589 360 2
Tachfouti et al [61] Morocco Lung cancer New cases Management Total medical cost 12 million 3
Thaqafi et al [85] Kingdom of Saudi Arabia Hematological cancer Patients with prolonged neutropenia or undergoing bone marrow or hematopoietic stem-cell transplantation Medication Estimated cost of alternative interventions (1) voriconazole, (2) LAMB, and (3) caspofungin. (1) 7654, (2) 16 564 and (3) 17 362 N/A
Antar et al [80] Lebanon Multiple myeloma Patients with multiple myeloma performing consecutive hematopoietic stem cell mobilization attempts Procedure Average cost of (1) chemo-mobilizing and (2) G-CSF and preemptive plerixafor mobilization strategies (1) 7536 and (2) 7886 4
Al-Kaabi & Atherton [79] Qatar Cancer NA Management Total direct and indirect cost including personal medical; non-medical costs, and income losses 290 billion in 2010 expected to reach 458 billion in 2030 N/A

IHD – ischemic heart disease, CV – cardiovascular, DNR – do not resuscitate, AML – acute myeloid leukemia, LAMB – Liposomal Amphotericin B

*N/A refers to “not applicable” whereby the data of interest is not specified in the respective reference.



A second study from Palestine also quantified costs associated with treating cardiovascular diseases; more specifically, the study estimated total cost of the cardiac catheterization unit in a major governmental hospital in Palestine as part of cost-volume-profit analysis [76]. Total cost calculations included fixed costs of medical equipment, furniture and other equipment, staff salaries, and overhead costs, and variable costs related to type of patient diagnosis, and respective procedures. Total unit cost was found to be US$ 613 544.63, with greatest costs attributed to variable costs of catheterization unit [76].

Isma’eel et al (2011) estimated the cost to the public of preventing a single cardiovascular event focusing on statins in seven Arabic countries and those are Lebanon, Bahrain, Jordan, Kuwait, Saudi Arabia, UAE and Oman [75]. The study compared cost based on defined daily dose, and compared costs of using one of three different statins for prevention. For instance, in Lebanon, the cost to the public was found to range between US$ 79 388 and US$ 105 589, depending on the statin used for treatment. In Bahrain, the cost to the public to prevent one cardiovascular event using statins ranged between US$ 81 505 and US$ 190 530. Conversely, in Kuwait, the estimated cost to the public ranged between US$ 122 786 and US$ 202 147, depending on the statin used for treatment [75].

Cancer

Three studies quantified total costs associated with treating or managing cancer (breast, lung, or cervical) to Moroccan health care authorities for up to one year after diagnosis ( Table 2 ). Boutayeb et al (2010) estimated total cost of breast cancer treatment by chemotherapy for patients in early stages of breast cancer to be between US$ 13 300 000 and US$ 28 600 000, based on international guidelines [52]. The upper bound estimation assumes all new cancer cases are treated. These costs were calculated by estimating the number of women in Morocco with breast cancer, and took into consideration alternative treatment protocols, per unit and per whole cycle [52]. Tachfouti et al (2012) conducted similar calculations to quantify direct costs of managing lung cancer in Morocco [61]. Taking into consideration the incidence of lung cancer, by stage, in the Moroccan population, also, taking into consideration treatment protocols as per international guidelines for each stage of lung cancer, the authors estimated that total medical costs of lung cancer are approximately US$ 12 000 000 [61]. Berraho et al (2012) used a similar methodology to Tachfouti et al (2012) to calculate total costs of managing cervical cancer in Morocco [59,61]. After estimating the incidence of cervical cancer cases, by stage, in the Moroccan population, and costs of management based on whole-cycle sets, the authors estimated total cost of cervical cancer care to be US$ 13 589 360.

Diabetes mellitus

Elrayah et al (2005) calculated annual direct costs to diabetic children attending public and private diabetes clinics in Sudan, that were associated with controlling diabetes mellitus type 1 [54] ( Table 3 ). The authors estimated the annual direct cost per diabetic child to be US$ 283 including costs of insulin, blood and urine tests and hospital admission and doctors’ fees. In 2010, the authors conducted a survey to determine out-of-pocket contributions made by patients with diabetes mellitus type 2 on ambulatory care and medications used to control diabetes, and found that annual direct cost per patient was approximately US$ 175. Patients aged 65 years and older made the greatest out-of-pocket contributions; furthermore, patients receiving ambulatory outpatient care at private clinics paid significantly more for clinic visits compared to patients receiving care at public facilities [54].

Table 3.  Results indicating cost associated with the management of diabetes and chronic respiratory diseases reported in the included studies*
Source Country Addressed NCD Population studied/ contacted Category/costing scope Outcome specified as Point estimate (in US$) Quality score
Diabetes:
Arevian [37] Lebanon Diabetes Diabetic patients Management Annual direct health care cost per a fully complaint case 125 compared to 481 in a tertiary care center 2
Elrayah et al [34] Sudan-Khartoum Diabetes Parents of diabetic children Management Annual direct cost per case (including insulin, blood and urine tests, hospital admission and doctors' fee) 283 1
Ali et al [43] Kingdom of Saudi Arabia Diabetes Patients with diabetes that were inadequately controlled on their current therapy of human insulin Treatment (1) annual direct cost of diabetes, (2) direct medical cost savings per patients for conversion from human insulin to BIAsp 30 therapy (1) 400-700 million and (2) 14 547 3
Shamsa & Barakat [50] Egypt Diabetes Patients with diabetes >18 years old Treatment Rate of adherence to medication based on the relation between cost (direct and indirect) and income 57.7% when relation was adequate, 24.8% when relation was not adequate 6
Al-Maskari [51] United Arab Emirates Diabetes Patients with diabetes Management Total annual direct cost of DM (1) without and (2) with (macro and microvascular) complications per case (1) 1605 and (2) 15 104 4
Elrayah-Eliadarous et al [54] Sudan Diabetes Patients with diabetes >30 y old with a diabetes duration of 1-5 years Management Average annual direct cost (ambulatory care and drugs) of diabetes control per case 175 3
Valentine et al [55] Kingdom of Saudi Arabia Diabetes Patients with diabetes that were inadequately controlled on their current therapy of human insulin Treatment Difference in direct cost between BIAsp and human insulin 15,786 NA
Farag et al [56] Egypt & Kingdom of Saudi Arabia Diabetes NA Management Percentage of the country's total health expenditure 16% for Egypt and 21% for KSA NA
Alhowaish [64] Kingdom of Saudi Arabia Diabetes Diabetic patients Management Total annual national health expenditure 0.9 billion 2
Almutairi and Alkharfy [65] Kingdom of Saudi Arabia Diabetes Diabetic patients Management Total annual direct medical cost (drug therapy, diagnostic procedures, hospitalization and outpatient visits) 1,384.19 for HbA1c <7%; 2036.11 for HbA1c 7%-9%, and 3104.86 for HbA1c >9% NA
Al-Rubeaan et al [66] Kingdom of Saudi Arabia Diabetes Diabetic patients Medication Annual insulin cost per patient for (1) Diabetes, (2) DM2 and (3) gestational diabetes (1) 308, (2) 375 and (3) 267 4
Al-Sharayri et al [67] Jordan Diabetes Patients on (1) traditional vials or (2) cartridges Medication Average direct cost per patient (1) 7.31 and (2) 31.18 2
Schubert et al [84] United Arab Emirates Diabetes Diabetic patients Medication Cost of canagliflozin (1) 100 and (2) 300 mg equivilant to cost of reaching HbA1c <7% with dapagliflozin 10 mg per day (1) 2.11 and (2) 2.45 NA
Home et al [83] Algeria Diabetes Patients with diabetes starting insulin detemir Medication Direct cost per patient simulated over 30 y with (1) insulin detemir compared to (2) OGLDs alone (1) 15 782 vs (2) 10 563 NA
Gupta et al [82] Kingdom of Saudi Arabia Diabetes Patients with diabetes Management Total direct cost (treatment, management and complication) of switching from (1) biphasic human insulin 30, (2) insulin glargine to biphasic insulin aspart 30 (1) 53 128-53 575 and (2) 61 569-52 849 NA
Al-Kaabi & Atherton [79] Qatar Diabetes NA Management Total direct and indirect cost including personal medical; non-medical costs, and income losses 500 billion in 2010, expected to reach 745 billion in 2030 NA
Shafie et al [77]      (1) Algeria & (2) Kingdom of Saudi Arabia Diabetes Patients with diabetes Management Total cost (treatment, management and complication) of switching from glucose lowering drugs only to it coupled with biphasic insulin aspart 30 per patient (1) 11 880 to 16 831 and (2) 51 158 to 49 263 NA
Lamri et al [73] Algeria Diabetes NA Management Total annual spending on diabetes care for the health system 513 million NA
Chronic respiratory diseases:
Aďt-Khaled et al [32] Algeria and Syria Asthma Pharmacies Treatment (long term) Annual cost per a persistent mild, moderate or severe case 32, 52 and 92 respectively in Algeria; 104 for a moderate case in Syria 2
Behbehani and Al-Yousifi [35] Kuwait Asthma Heads of primary health care centers Medications Annual cost per a moderate case (using inhaled steroids and short-acting beta-agonists only) 562 3
AlMarri [39] Qatar Asthma Asthma hospitalized patients Hospital admission Average cost per admission 1544 3
Sultanate of Oman Asthma Asthma patients Treatment Total annual direct cost of treatment including medications 159 900 761 NA
Morocco Asthma Individuals purchasing anti-asthmatic drugs Treatment Average monthly cost of anti-asthmatic treatment between 1999 and 2010 [16.42-12.36] NA
Kuwait Asthma Patients (adults and children) with asthma Treatment Total annual direct cost of treatment including outpatient, emergency and inpatient visits and medications 208 244 564 NA
Al-Kaabi & Atherton [79] Qatar COPD NA Treatment Total direct and indirect cost including personal medical; non-medical costs, and income losses 2.1 trillion in 2010 expected to reach 4.8 trillion in 2030 NA
Al-Busaidi et al [78] Sultanate of Oman Asthma NA Management Total annual cost of asthma management 159 741 021 NA
Ghanname et al [72] Morocco Asthma NA Medications Total annual cost of anti-asthmatic drugs 24 361 920 NA
Alzaabi et al [71] United Arab Emirates Asthma Asthma patients Treatment Total direct cost of per patient mainly outpatient visits 207 2

*N/A refers to “not applicable” whereby the data of interest is not specified in the respective reference.



A smaller scale study from Lebanon [37], conducted at a primary health care center in Beirut, estimated the direct cost of treating a fully compliant patient with diabetes mellitus type 2 to be US$ 125 ( Table 3 ). Direct cost calculations included costs of physician services, laboratory tests, drugs, inpatient care and emergency visits. Cost per patient attending the primary health care center was found to be lower than the estimated direct health care cost of US$ 481 for a fully compliant diabetes mellitus type 2 patient attending private clinics at a tertiary medical care center in Lebanon.

In a national cross-sectional survey conducted in Saudi Arabia, Alhowaish (2013) estimated the total annual national health expenditure to be US$ 0.9 billion, which represents around 21% of the country’s total health expenditure [56,64]. This figure is not restricted to only direct medical costs associated with management of diabetes in Saudi Arabia. Another study examined annual direct costs of diabetes at the national level and estimated the amount to be between US$ 400 to 700 million [43]. In comparison, a study from Qatar showed that direct and indirect medical cost of diabetes management, including personal medical expenses, nonmedical costs and income losses reached US$ 500 billion in 2010 and projections showed an expected rise to US$ 745 billion in 2030 due to several factors [79].

Asthma

Two studies from Kuwait quantified costs associated with treating asthma (Table 3). The first determined the annual cost of asthma medications, based on severity, while the second evaluated direct costs of treating asthma at the national level and determined direct costs associated with emergency department visits, outpatient clinic visits, and asthma medications [35,70]. Behbehani & Al-Yousifi (2003) calculated that the annual cost of a year’s supply of medications for a moderate asthma case was equivalent to US$ 562; cost of medications for a severe persistent case of asthma was found to be almost equivalent to the monthly salary of a nurse working in Kuwait [35]. Khadadah (2013), in a more recent study, estimated the annual cost of treating asthma cases among Kuwaiti nationals attending government health care facilities in Kuwait [70]. The estimated cost of treating asthma cases among Kuwaiti nationals was US$ 208 244 564, with the greatest cost drivers being inpatient hospital stays and emergency department visits, while medications constituted only 7% of total direct costs of treatment [70].

DISCUSSION

As NCDs’ burden in the Arab region continues to grow, it becomes more necessary to assess the impact (financial and economic) of NCDs on patients and governments. In this review, studies providing quantification of costs associated with NCDs in 22 Arab countries, their treatment, management, or risk factors were included. The review identified and summarized only 55 studies covering the 16-year period (2000-2016). Costing studies were derived from LMICs like Sudan, Palestine, and Morocco, upper-middle-income countries and HICs, with four studies covering multiple countries in the Arab region [74-76,89]. All four classes of major NCDs [5], including diabetes, asthma, cancer and cardiovascular diseases were evaluated, and costs were determined for treatment or management of diseases, at the societal, governmental, provider, or patient level.

The studies were classified by costing variables such as costing approach, costing perspective, types of costs, and sources of information, although many of the studies did not indicate the method of costing used, nor specify the types of costs included. Furthermore, there was a large variation in the methods used to quantify NCDs’ costs in these countries. This lack of standardization made it difficult to conduct any type of cross-country, intra-country, or international comparisons. Any kind of cross-country comparison was further impeded by a focus, in the majority of identified studies, on treatment or management of only one class or type of NCD, with the exception of one study from Lebanon, which looked at costs of all smoking-related NCDs [89]. Also limiting cross-country and intra-country comparisons was inclusion of only one or a few variables of cost in calculations, with almost no calculations of the costs of NCDs covered in their totality. As such, it was not possible to identify trends in the costs of NCD management for Arab countries. Only three studies from Morocco used similar methodologies to quantify the costs of different classes of cancer to the Moroccan government [52,59,61]. These studies were also among the most comprehensive in their calculations, looking at different disease stages, and considering the incidence of the disease, and the different treatment modalities [52,59,61]. Even in the latter case, the heterogeneity in the cost calculation did not allow for trend identification. Nevertheless, the use of a semi-standardized method to quantify the direct costs of the different types of cancer in Morocco had its advantages. It allowed authors to make comparisons with international countries at an individual treatment level, allowed them to make comparisons to the Ministry of Health budgets, both at national and regional levels, and to make comparisons to national income levels [52,59,61]. In all cases, the direct cost of treatment was found to be higher than national budgets, higher than minimum income, but lower than the cost in countries used for comparison, pointing to the heavy burden that cancer treatment places on individuals and governments [52,59,61]. Such comprehensive results are useful for governments and decision-makers when allocating budgets and prioritizing funding to health facilities [52,59,61]. Yet studies from Morocco failed to look at cancer cost in its totality, and excluded crucial variables like indirect costs, productivity loss, and costs associated with outpatient treatment; therefore, costs obtained are likely an underestimation of the true cost of this NCD [52,59,61]. This was a common problem across most studies included in this review. Other methodological limitations identified from the studies included the use of different sampling frames and study designs, due to the epidemiological nature of the majority of the studies included. At the individual country level, instability, data scarcity, and struggling health care (information) systems could explain the variation in the data available to measure costs of NCDs, and thus the varying methodologies used [90,91].

The closest comparison to findings can be extracted from studies conducted in HICs, and from members of Organization for Economic Co-operation and Development (OECD). One such study looked at NCDs’ impact on national health expenditure [92]. Researchers found for the majority of included countries that NCDs accounted for at least one third of countries’ national health expenditure [92]. This analysis was possible because these countries, mostly OECD members, used a national health account framework for analysis [92]. The availability of standardized data on costs from these countries even made it possible to compare expenditure at two different time periods [92]. Among those studies identified in this review, few considered the time horizon when assessing the costs of NCDs, A systematic review that looked at NCDs’ global impact on health care spending and national income, mostly for countries in the American and European WHO regions, found that global health care expenditure on NCDs was increasing with time; furthermore, NCDs were resulting in national income losses [93]. However, this review only included one country from the Arab region [93]. For the most part, other reviews focusing on NCDs’ costs to individuals and households suffered from similar methodological limitations as those identified in this review [29,88].

Limitations

Due to the fact that our study was part of a larger epidemiological approach scoping review, the included studies analyzed in this review are subject to several limitations including absence of a clear definition of costing method used, wide heterogeneity in methods followed to calculate same and different types of cost and variation in case definition. Other limitations are related to missing data on patient characteristics, which could have affected care or cost, sample representativeness like exclusion of individuals not seeking care for financial reasons and uneven geographical distribution. There are also differences between health systems in Arab countries, affecting the allocation of health funds for NCDs’ management. These factors did not allow us to pool reported cost estimates, to generalize results or to generate comparisons across studies. Another limitation is the search language used. This review only identified studies published in English, or containing an English abstract or keywords, potentially impacting number of studies identified and included in the review.

CONCLUSIONS

The burden of NCDs in the Arab region is set to continue growing, conforming to local and global trends. This scoping review on the costs of NCDs in Arab region sheds light on an important issue: although NCDs-related morbidity and mortality continue to rise in all Arab countries across different income levels, data on costing remains limited by this type of evidence’s paucity and the generally low quality of studies published in this area. Internationally, NCDs resulted in high health care costs for governments and in great out-of-pocket and catastrophic health expenditures for households. Still, global findings and trends regarding NCDs raises questions of representativeness when inferring about applicability in the local and regional context. Moreover, even at international levels, questions persist concerning methodologies used for inferring costs at the national level.

Furthermore, although this review represents the most comprehensive to-date assessment of studies in the region directly quantifying the costs of NCDs, it remains restricted by the paucity of evidence and the generally low to very-low quality of included studies. Hence, if decisions are to be made based on available rough estimates, resources might be used inefficiently.

This research represents a foundational step for policymakers in need of evidence when managing the financial burden of NCDs in future reforms. There is also a need for future studies, of improved and harmonized methodology, from the Arab region on the cost management of NCDs and their growing financial impact at household and governmental levels.

Acknowledgments

The authors thank Aya Noubani for her valuable contribution to data abstraction for the revised draft of this manuscript, and for her input on the final draft of the manuscript.

Notes

[1] Funding: None.

[2] Authorship declaration: SS and AS contributed to the conception and design of this review. AH, MB and NZ performed the searches. AH and AF conducted the title and abstract screening and the full-text screening. AH performed the data abstraction. SS, AS, AH, MB and NZ performed the writing of the overview and the methods sections. SS, AS, AH, AF, MB and NZ contributed to the writing of the manuscript. All of the authors contributed in the revision and the approval of the final manuscript.

[3] Competing interests: The authors have completed the Unified Competing Interest form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare no conflict of interest.

REFERENCES

[1] R Lozano, M Naghavi, K Foreman, S Lim, K Shibuya, and V Aboyans. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2095-128. DOI: 10.1016/S0140-6736(12)61728-0. [PMID:23245604]

[2] CD Mathers and D Loncar. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006;3:e442 DOI: 10.1371/journal.pmed.0030442. [PMID:17132052]

[3] World Health Organization. Projections of mortality and causes of death, 2015 and 2030. Geneva: World Health Organization; 2014.

[4] A Boutayeb and S Boutayeb. The burden of non communicable diseases in developing countries. Int J Equity Health. 2005;4:2 DOI: 10.1186/1475-9276-4-2. [PMID:15651987]

[5] World Health Organization. Global status report on noncommunicable diseases 2014. Geneva: World Health Organization; 2014.

[6] World Health Organization. Global health estimates: Deaths by cause, age, sex and country, 2000-2012. Geneva: World Health Organization; 2014.

[7] WY Low. The threat of noncommunicable diseases in South Asia. Asia Pac J Public Health. 2016;28:4S-5S. [PMID:26712892]

[8] HFA Rahim, A Sibai, Y Khader, N Hwalla, I Fadhil, and H Alsiyabi. Non-communicable diseases in the Arab world. Lancet. 2014;383:356-67. DOI: 10.1016/S0140-6736(13)62383-1. [PMID:24452044]

[9] AM Sibai, A Fletcher, M Hills, and O Campbell. Non-communicable disease mortality rates using the verbal autopsy in a cohort of middle aged and older populations in Beirut during wartime, 1983–93. J Epidemiol Community Health. 2001;55:271-6. DOI: 10.1136/jech.55.4.271. [PMID:11238583]

[10] Sibai A, Tohme R, Mahfoud Z, Chaaya M, Hwalla N. Non-communicable diseases and behavioral risk factor survey. comparison of estimates based on cell phone interviews with face to face interviews. MOPH. 2009. Available: https://www.moph.gov.lb/DynamicPages/download_file/563. Accessed: 23 March 2017.

[11] A Boutayeb, S Boutayeb, and W Boutayeb. Multi-morbidity of non communicable diseases and equity in WHO Eastern Mediterranean countries. Int J Equity Health. 2013;12:60 DOI: 10.1186/1475-9276-12-60. [PMID:23961989]

[12] World Health Organization. Noncommunicable diseases progress monitor 2015. 2015. Available: http://apps.who.int/iris/bitstream/10665/184688/1/9789241509459_eng.pdf

[13] World Health Organization. Noncommunicable diseases country profiles 2014. 2014.

[14] DJ Hunter and KS Reddy. Noncommunicable diseases. N Engl J Med. 2013;369:1336-43. DOI: 10.1056/NEJMra1109345. [PMID:24088093]

[15] World Health Organization. First global ministerial conference on healthy lifestyles and noncommunicable disease control. Moscow, the Russian Federation: WHO. 2011.

[16] World Health Organization. Noncommunicable diseases, poverty and the development agenda. discussion paper. ECOSOC. 2009. Available: http://www.who.int/nmh/publications/discussion_paper_ncd_en.pdf. Accessed: March 23, 2017

[17] Economic Intelligence Unit. The silent epidemic: An economic study of diabetes in developed and developing countries. London: The Economist. Economic Intelligence Unit (EIU); 2007.

[18] R Beaglehole, R Bonita, G Alleyne, R Horton, L Li, and P Lincoln. UN High-Level Meeting on Non-Communicable Diseases: addressing four questions. Lancet. 2011;378:449-55. DOI: 10.1016/S0140-6736(11)60879-9. [PMID:21665266]

[19] Bloom DE, Cafiero ET, Jané-Llopis E, Abrahams-Gessel S, Bloom LR, Fathima S. The global economic burden of non-communicable diseases. Geneva: World Economic Forum; 2011.

[20] . Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013;36:1033-46. DOI: 10.2337/dc12-2625. [PMID:23468086]

[21] K Bahadori, MM Doyle-Waters, C Marra, L Lynd, K Alasaly, and J Swiston. Economic burden of asthma: a systematic review. BMC Pulm Med. 2009;9:24 DOI: 10.1186/1471-2466-9-24. [PMID:19454036]

[22] Access Economics. The shifting burden of cardiovascular disease in Australia. The National Heart Foundation: Canberra; 2005.

[23] D Mozaffarian, EJ Benjamin, AS Go, DK Arnett, MJ Blaha, and M Cushman. Heart disease and stroke statistics–2015 update: a report from the American Heart Association. Circulation. 2015;131:e29-322. [PMID:25520374]

[24] A Boutayeb, W Boutayeb, MEN Lamlili, and S Boutayeb. Indirect cost of Diabetes in the Arab Region. Int J Diabetol Vasc Disease Res. 2013;1:24-8.

[25] A Boutayeb, W Boutayeb, MEN Lamlili, and S Boutayeb. Estimation of the direct cost of diabetes in the Arab region. Med J Nutrition Metab. 2014;7:21-32.

[26] A Joshi, K Mohan, G Grin, and DMP Perin. Burden of Healthcare Utilization and Out-of Pocket Costs Among Individuals with NCDs in an Indian Setting. J Community Health. 2013;38:320-7. DOI: 10.1007/s10900-012-9617-1. [PMID:23054417]

[27] Mahal A, Karan A, Engelgau M. The economic implications of non-communicable disease for India. Health, Nutrition and Population (HNP) discussion paper. Washington DC: World Bank; 2010.

[28] A Alwan and DR MacLean. A review of non-communicable disease in low- and middle-income countries. Int Health. 2009;1:3-9. DOI: 10.1016/j.inhe.2009.02.003. [PMID:24036289]

[29] HT Kankeu, P Saksena, K Xu, and DB Evans. The financial burden from non-communicable diseases in low- and middle-income countries: a literature review. Health Res Policy Syst. 2013;11:31 DOI: 10.1186/1478-4505-11-31. [PMID:23947294]

[30] J-A Mulligan, D Walker, and J Fox-Rushby. Economic evaluations of non-communicable disease interventions in developing countries: a critical review of the evidence base. Cost Eff Resour Alloc. 2006;4:7 DOI: 10.1186/1478-7547-4-7. [PMID:16584546]

[31] Alwan A. Global status report on noncommunicable diseases 2010. Geneva: World Health Organization; 2011.

[32] N Ad’t-Khaled, G Auregan, N Bencharif, LM Camara, E Dagli, and K Djankine. Affordability of inhaled corticosteroids as a potential barrier to treatment of asthma in some developing countries. Int J Tuberc Lung Dis. 2000;4:268-71. [PMID:10751075]

[33] KA Jassim al Khaja, RP Sequeira, AW Wahab, and VS Mathur. Antihypertensive drug prescription trends at the primary health care centres in Bahrain. Pharmacoepidemiol Drug Saf. 2001;10:219-27. DOI: 10.1002/pds.578. [PMID:11501335]

[34] JJ Caro, A Ward, TC Green, K Huybrechts, A Arana, and S Wait. Impact of thalassemia major on patients and their families. Acta Haematol. 2002;107:150-7. DOI: 10.1159/000057633. [PMID:11978936]

[35] NA Behbehani and K Al-Yousifi. Lack of essential asthma medications in primary care centres in Kuwait. Int J Tuberc Lung Dis. 2003;7:422-5. [PMID:12757041]

[36] FA Shaheen and AA Al-Khader. Preventive strategies of renal failure in the Arab world. Kidney Int Suppl. 2005;98S37-40. DOI: 10.1111/j.1523-1755.2005.09807.x. [PMID:16108969]

[37] M Arevian. The significance of a collaborative practice model in delivering care to chronically ill patients: a case study of managing diabetes mellitus in a primary health care center. J Interprof Care. 2005;19:444-51. DOI: 10.1080/13561820500215095. [PMID:16308168]

[38] H Elrayah, M Eltom, A Bedri, A Belal, H Rosling, and CG Ostenson. Economic burden on families of childhood type 1 diabetes in urban Sudan. Diabetes Res Clin Pract. 2005;70:159-65. DOI: 10.1016/j.diabres.2005.03.034. [PMID:15919129]

[39] MR AlMarri. Asthma hospitalizations in the state of Qatar: an epidemiologic overview. Ann Allergy Asthma Immunol. 2006;96:311-5. DOI: 10.1016/S1081-1206(10)61241-0. [PMID:16498853]

[40] HM El-Zawahry, AA Zeeneldin, MA Samra, MM Mattar, MM El-Gammal, and A Abd El-Samee. Cost and outcome of treatment of adults with acute myeloid leukemia at the National Cancer Institute-Egypt. J Egypt Natl Canc Inst. 2007;19:106-13. [PMID:19034340]

[41] A Batieha, S Abdallah, M Maghaireh, Z Awad, N Al-Akash, and A Batieneh. Epidemiology and cost of haemodialysis in Jordan. East Mediterr Health J. 2007;13:654-63. [PMID:17687839]

[42] F Abdel-Rahman, A Hussein, R Rihani, O Hlalah, H El Taani, and S Sharma. Bone marrow and stem cell transplantation at King Hussein cancer center. Bone Marrow Transplant. 2008;42:Suppl 1S89-91. DOI: 10.1038/bmt.2008.126. [PMID:18724314]

[43] M Ali, J White, CH Lee, JL Palmer, J Smith-Palmer, and W Fakhoury. Therapy conversion to biphasic insulin aspart 30 improves long-term outcomes and reduces the costs of type 2 diabetes in Saudi Arabia. J Med Econ. 2008;11:651-70. DOI: 10.3111/13696990802589122. [PMID:19450074]

[44] D Dennison, S Al Kindi, A Pathare, S Daar, N Nusrat, and J Ur Rehman. Hematopoietic stem cell transplantation in Oman. Bone Marrow Transplant. 2008;42:Suppl 1S109-13. DOI: 10.1038/bmt.2008.131. [PMID:18724280]

[45] MM El-Zimaity, EA Hassan, SE Abd El-Wahab, AA Abd El-Ghaffar, NA Mahmoud, and AM Elafifi. Stem cell transplantation in hematological disorders. A developing country experience-impact of cost considerations. Saudi Med J. 2008;29:1484-9. [PMID:18946578]

[46] A Strzelczyk, JP Reese, R Dodel, and HM Hamer. Cost of epilepsy: a systematic review. Pharmacoeconomics. 2008;26:463-76. DOI: 10.2165/00019053-200826060-00002. [PMID:18489198]

[47] RA Al-Naggar, ZM Isa, SA Shah, R Chen, and SY Kadir. Mammography screening: Female doctors’attitudes and practice in Sana’a, Yemen. Asian Pac J Cancer Prev. 2009;10:743-6. [PMID:20104962]

[48] A Sabry, M Taha, M Nada, F Al Fawzan, and K Alsaran. Anticoagulation therapy during haemodialysis: a comparative study between two heparin regimens. Blood Coagul Fibrinolysis. 2009;20:57-62. DOI: 10.1097/MBC.0b013e32831bec0f. [PMID:20523166]

[49] WM Sweileh, AF Sawalha, SH Zyoud, SW Al-Jabi, and MA Abaas. Discharge medications among ischemic stroke survivors. J Stroke Cerebrovasc Dis. 2009;18:97-102. DOI: 10.1016/j.jstrokecerebrovasdis.2008.08.005. [PMID:19251184]

[50] ME Shams and EA Barakat. Measuring the rate of therapeutic adherence among outpatients with T2DM in Egypt. Saudi Pharm J. 2010;18:225-32. DOI: 10.1016/j.jsps.2010.07.004. [PMID:23960731]

[51] F Al-Maskari, M El-Sadig, and N Nagelkerke. Assessment of the direct medical costs of diabetes mellitus and its complications in the United Arab Emirates. BMC Public Health. 2010;10:679 DOI: 10.1186/1471-2458-10-679. [PMID:21059202]

[52] S Boutayeb, A Boutayeb, N Ahbeddou, W Boutayeb, E Ismail, and M Tazi. Estimation of the cost of treatment by chemotherapy for early breast cancer in Morocco. Cost Eff Resour Alloc. 2010;8:16 DOI: 10.1186/1478-7547-8-16. [PMID:20828417]

[53] A Denewer, O Hussein, O Farouk, W Elnahas, A Khater, and A El-Saed. Cost-effectiveness of clinical breast assessment-based screening in rural Egypt. World J Surg. 2010;34:2204-10. DOI: 10.1007/s00268-010-0620-3. [PMID:20533039]

[54] H Elrayah-Eliadarous, K Yassin, M Eltom, S Abdelrahman, R Wahlstrom, and CG Ostenson. Direct costs for care and glycaemic control in patients with type 2 diabetes in Sudan. Exp Clin Endocrinol Diabetes. 2010;118:220-5. DOI: 10.1055/s-0029-1246216. [PMID:20140852]

[55] WJ Valentine, RF Pollock, J Plun-Favreau, and J White. Systematic review of the cost-effectiveness of biphasic insulin aspart 30 in type 2 diabetes. Curr Med Res Opin. 2010;26:1399-412. DOI: 10.1185/03007991003689381. [PMID:20387997]

[56] YM Farag and MR Gaballa. Diabesity: an overview of a rising epidemic. Nephrol Dial Transplant. 2011;26:28-35. DOI: 10.1093/ndt/gfq576. [PMID:21045078]

[57] AM Osman, MS Alsultan, and MA Al-Mutairi. The burden of ischemic heart disease at a major cardiac center in Central Saudi Arabia. Saudi Med J. 2011;32:1279-84. [PMID:22159384]

[58] M Alameddine and A Nassir. The influence of urine cytology on our practice. Urol Ann. 2012;4:80-3. DOI: 10.4103/0974-7796.95550. [PMID:22629001]

[59] M Berraho, A Najdi, S Mathoulin-Pelissier, R Salamon, and C Nejjari. Direct costs of cervical cancer management in Morocco. Asian Pac J Cancer Prev. 2012;13:3159-63. DOI: 10.7314/APJCP.2012.13.7.3159. [PMID:22994727]

[60] AR Soliman, A Fathy, and D Roshd. The growing burden of end-stage renal disease in Egypt. Ren Fail. 2012;34:425-8. DOI: 10.3109/0886022X.2011.649671. [PMID:22260432]

[61] N Tachfouti, Y Belkacemi, C Raherison, R Bekkali, A Benider, and C Nejjari. First data on direct costs of lung cancer management in Morocco. Asian Pac J Cancer Prev. 2012;13:1547-51. DOI: 10.7314/APJCP.2012.13.4.1547. [PMID:22799364]

[62] NH Al-Busaidi, Z Habibullah, and JB Soriano. The asthma cost in oman. Sultan Qaboos Univ Med J. 2013;13:218-23. DOI: 10.12816/0003226. [PMID:23862026]

[63] F Algahtani, ZA Aseri, A Aldiab, and A Aleem. Hospital versus home treatment of deep vein thrombosis in a tertiary care hospital in Saudi Arabia: Are we ready? Saudi Pharm J. 2013;21:165-8. DOI: 10.1016/j.jsps.2012.05.008. [PMID:23960831]

[64] AK Alhowaish. Economic costs of diabetes in Saudi Arabia. J Family Community Med. 2013;20:1-7. DOI: 10.4103/2230-8229.108174. [PMID:23723724]

[65] N Almutairi and KM Alkharfy. Direct medical cost and glycemic control in type 2 diabetic Saudi patients. Appl Health Econ Health Policy. 2013;11:671-5. DOI: 10.1007/s40258-013-0065-6. [PMID:24174262]

[66] KA Al-Rubeaan, AM Youssef, SN Subhani, NA Ahmad, AH Al-Sharqawi, and HM Ibrahim. A Web-based interactive diabetes registry for health care management and planning in Saudi Arabia. J Med Internet Res. 2013;15:e202 DOI: 10.2196/jmir.2722. [PMID:24025198]

[67] MG Al-Sharayri, TM Alsabrah, TM Aljbori, and AE Abu-Rumman. Insulin vials vs. insulin cartridges: Further cost considerations. Saudi Pharm J. 2013;21:225-7. DOI: 10.1016/j.jsps.2012.07.003. [PMID:23960838]

[68] EA Al-Shdaifat and MR Manaf. The economic burden of hemodialysis in Jordan. Indian J Med Sci. 2013;67:103-16. DOI: 10.4103/0019-5359.122734. [PMID:24326762]

[69] I Ghanname, S Ahid, G Berrada, A Belaiche, M Hassar, and Y Cherrah. Trends in the use of antiasthmatic medications in Morocco (1999-2010). Springerplus. 2013;2:82 DOI: 10.1186/2193-1801-2-82. [PMID:23519830]

[70] M Khadadah. The cost of asthma in Kuwait. Med Princ Pract. 2013;22:87-91. DOI: 10.1159/000341154. [PMID:22889866]

[71] A Alzaabi, M Alseiari, and B Mahboub. Economic burden of asthma in Abu Dhabi: a retrospective study. Clinicoecon Outcomes Res. 2014;6:445-50. DOI: 10.2147/CEOR.S68920. [PMID:25378938]

[72] I Ghanname, S Ahid, G Berrada, A Belaiche, M Hassar, and Y Cherrah. Factors influencing anti-asthmatic generic drug consumption in Morocco: 1999-2010. Springerplus. 2014;3:192 DOI: 10.1186/2193-1801-3-192. [PMID:24790832]

[73] L Lamri, E Gripiotis, and A Ferrario. Diabetes in Algeria and challenges for health policy: a literature review of prevalence, cost, management and outcomes of diabetes and its complications. Global Health. 2014;10:11 DOI: 10.1186/1744-8603-10-11. [PMID:24564974]

[74] H Mason, A Shoaibi, R Ghandour, M O’Flaherty, S Capewell, and R Khatib. A cost effectiveness analysis of salt reduction policies to reduce coronary heart disease in four Eastern Mediterranean countries. PLoS One. 2014;9:e84445 DOI: 10.1371/journal.pone.0084445. [PMID:24409297]

[75] H Isma’eel, Z Mohanna, G Hamadeh, E Alam, K Badr, and S Alam. The public cost of 3 statins for primary prevention of cardiovascular events in 7 Middle East countries: not all of them can afford it. Int J Cardiol. 2012;155:316-8. DOI: 10.1016/j.ijcard.2011.12.011. [PMID:22217486]

[76] MZ Younis, S Jabr, PC Smith, M Al-Hajeri, and M Hartmann. Cost-volume-profit analysis and expected benefit of health services: a study of cardiac catheterization services. J Health Care Finance. 2011;37:87-100. [PMID:21528836]

[77] AA Shafie, V Gupta, R Baabbad, E Hammerby, and P Home. An analysis of the short- and long-term cost-effectiveness of starting biphasic insulin aspart 30 in insulin-naive people with poorly controlled type 2 diabetes. Diabetes Res Clin Pract. 2014;106:319-27. DOI: 10.1016/j.diabres.2014.08.024. [PMID:25305133]

[78] N Al-Busaidi, Z Habibulla, M Bhatnagar, N Al-Lawati, and Y Al-Mahrouqi. The burden of asthma in Oman. Sultan Qaboos Univ Med J. 2015;15:e184-90. [PMID:26052450]

[79] SK Al-Kaabi and A Atherton. Impact of noncommunicable diseases in the State of Qatar. Clinicoecon Outcomes Res. 2015;7:377-85. DOI: 10.2147/CEOR.S74682. [PMID:26170702]

[80] A Antar, ZK Otrock, MA Kharfan-Dabaja, HA Ghaddara, N Kreidieh, and R Mahfouz. G-CSF plus preemptive plerixafor vs hyperfractionated CY plus G-CSF for autologous stem cell mobilization in multiple myeloma: effectiveness, safety and cost analysis. Bone Marrow Transplant. 2015;50:813-7. DOI: 10.1038/bmt.2015.23. [PMID:25751646]

[81] M Eltabbakh, H Zaghla, W Abdel-Razek, H Elshinnawy, S Ezzat, and A Gomaa. Utility and cost-effectiveness of screening for hepatocellular carcinoma in a resource-limited setting. Med Oncol. 2015;32:432 DOI: 10.1007/s12032-014-0432-7. [PMID:25502085]

[82] V Gupta, R Baabbad, E Hammerby, A Nikolajsen, and AA Shafie. An analysis of the cost-effectiveness of switching from biphasic human insulin 30, insulin glargine, or neutral protamine Hagedorn to biphasic insulin aspart 30 in people with type 2 diabetes. J Med Econ. 2015;18:263-72. DOI: 10.3111/13696998.2014.991791. [PMID:25426701]

[83] P Home, SH Baik, GG Galvez, R Malek, and A Nikolajsen. An analysis of the cost-effectiveness of starting insulin detemir in insulin-naive people with type 2 diabetes. J Med Econ. 2015;18:230-40. DOI: 10.3111/13696998.2014.985788. [PMID:25407031]

[84] A Schubert, AT Nielsen, A El Khoury, A Kamal, and V Taieb. Cost of reaching defined HbA1c target using Canagliflozin compared to Dapagliflozin as add-on to Metformin in patients with Type 2 Diabetes Mellitus (T2DM) in the United Arab Emirates (UAE). Value Health. 2015;18:A608 DOI: 10.1016/j.jval.2015.09.2100. [PMID:26533415]

[85] AA Thaqafi, M Xue, F Farahat, X Gao, MH Wafy, and M Fahti. Cost analysis of Voriconazole Versus Liposomal Amphotericin B and Caspofungin for primary therapy of invasive Aspergillosis Among high-risk hematologic cancer patients in Saudi Arabia. Value Health. 2015;18:A667 DOI: 10.1016/j.jval.2015.09.2433. [PMID:26533739]

[86] AS Ahmad, S Mudasser, MN Khan, and HN Abdoun. Outcomes of cardiopulmonary resuscitation and estimation of healthcare costs in potential ‘do not resuscitate’ cases. Sultan Qaboos Univ Med J. 2016;16:e27-34. DOI: 10.18295/squmj.2016.16.01.006. [PMID:26909209]

[87] Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa Hospital Research Institute. 2018. Available: http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp. Accessed: 23 March 2017.

[88] L Jaspers, V Colpani, L Chaker, SJ van der Lee, T Muka, and D Imo. The global impact of non-communicable diseases on households and impoverishment: a systematic review. Eur J Epidemiol. 2015;30:163-88. DOI: 10.1007/s10654-014-9983-3. [PMID:25527371]

[89] N Salti, J Chaaban, and N Naamani. The economics of tobacco in Lebanon: an estimation of the social costs of tobacco consumption. Subst Use Misuse. 2014;49:735-42. DOI: 10.3109/10826084.2013.863937. [PMID:24328861]

[90] FA Akala and S El-Saharty. Public-health challenges in the Middle East and North Africa. Lancet. 2006;367:961-4. DOI: 10.1016/S0140-6736(06)68402-X. [PMID:16564342]

[91] SA Ismail, A McDonald, E Dubois, FG Aljohani, AP Coutts, and A Majeed. Assessing the state of health research in the Eastern Mediterranean Region. J R Soc Med. 2013;106:224-33. DOI: 10.1258/jrsm.2012.120240. [PMID:23761582]

[92] Garg C, Evans DB. What is the impact of non-communicable diseases on national health expenditures: a synthesis of available data. Discussion Paper No 3. Geneva: World Health Organization; 2011.

[93] T Muka, D Imo, L Jaspers, V Colpani, L Chaker, and SJ van der Lee. The global impact of non-communicable diseases on healthcare spending and national income: a systematic review. Eur J Epidemiol. 2015;30:251-77. DOI: 10.1007/s10654-014-9984-2. [PMID:25595318]

Additional Material


Journal of Global Health (ISSN 2047-2986), Edinburgh University Global Health Society
Designed by