The cost-effectiveness of hypertension management in low … · KostovafiD etfial BMJ Global Health...

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1 Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213 The cost-effectiveness of hypertension management in low-income and middle-income countries: a review Deliana Kostova , 1 Garrison Spencer, 2 Andrew E Moran, 3,4 Laura K Cobb, 3 Muhammad Jami Husain, 1 Biplab Kumar Datta, 1 Kunihiro Matsushita, 5 Rachel Nugent 2 Original research To cite: Kostova D, Spencer G, Moran AE, et al. The cost- effectiveness of hypertension management in low-income and middle-income countries: a review. BMJ Global Health 2020;5:e002213. doi:10.1136/ bmjgh-2019-002213 Handling editor Lei Si Additional material is published online only. To view please visit the journal online (http://dx.doi.org/10.1136/ bmjgh-2019-002213). Received 9 December 2019 Revised 31 May 2020 Accepted 15 June 2020 For numbered affiliations see end of article. Correspondence to Dr Deliana Kostova; [email protected] © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ABSTRACT Hypertension in low-income and middle-income countries (LMICs) is largely undiagnosed and uncontrolled, representing an untapped opportunity for public health improvement. Implementation of hypertension control strategies in low-resource settings depends in large part on cost considerations. However, evidence on the cost-effectiveness of hypertension interventions in LMICs is varied across geographical, clinical and evaluation contexts. We conducted a comprehensive search for published economic evaluations of hypertension treatment programmes in LMICs. The search identified 71 articles assessing a wide range of hypertension intervention designs and cost components, of which 42 studies across 15 countries reported estimates of cost-effectiveness. Although comparability of results was limited due to heterogeneity in the interventions assessed, populations studied, costs and study quality score, most interventions that reported cost per averted disability-adjusted life- year (DALY) were cost-effective, with costs per averted DALY not exceeding national income thresholds. Programme elements that may reduce cost-effectiveness included screening for hypertension at younger ages, addressing prehypertension, or treating patients at lower cardiovascular disease risk. Cost-effectiveness analysis could provide the evidence base to guide the initiation and development of hypertension programmes. INTRODUCTION Hypertension in low-income and middle- income countries (LMICs) remains largely undiagnosed, untreated and uncontrolled despite being a leading factor in prevent- able death and disability (Chow et al, 2013 1 ; Ibrahim and Damasceno, 2012 2 ; Lozano et al, 2018 3 ; and WHO, 2013 4 ). The subop- timal treatment of hypertension in LMICs represents an untapped opportunity for public health improvement (Frieden and Bloomberg, 2018). 5 Recent estimates suggest that nearly 40 million hypertension-related deaths can be avoided over the next 25 years by scaling up hypertension treatment to 70% (Kontis et al, 2019). 6 Hypertension management depends on consistent and reliable access to healthcare. Areas with documented shortages of health- care workers and with limited access to formal healthcare, such as sub-Saharan Africa, have fared the worst in addressing hypertension (Geldsetzer et al, 2019). 7 At the population level, weak hypertension control and insuffi- cient cardiovascular disease (CVD) prevention in LMICs can have broad implications that exceed the direct health consequences. For example, clustering of hypertension-related Key questions What is already known? Implementation of hypertension control strategies in low-resource settings depends in large part on cost considerations, but evidence on the cost- effectiveness of hypertension interventions from low-income and middle-income countries (LMICs) is sparse and varied across geographical, clinical and evaluation contexts. What are the new findings? Most interventions that reported cost per averted disability-adjusted life-year were cost-effective using national income thresholds, but gaps in evi- dence exist on programme elements that can affect cost-effectiveness in LMICs, such as task-sharing, risk-based treatment and standardised treatment protocols. What do the new findings imply? Hypertension control is found to be a cost-effective intervention for many LMICs. Gaps in evidence can be filled by economic evaluation of programme ele- ments that include shifting some healthcare tasks to non-physician providers, integrating cardiovascular disease (CVD) risk assessment into treatment deci- sions and incorporating standardised CVD preven- tion programmes. on June 29, 2021 by guest. Protected by copyright. http://gh.bmj.com/ BMJ Glob Health: first published as 10.1136/bmjgh-2019-002213 on 9 September 2020. Downloaded from

Transcript of The cost-effectiveness of hypertension management in low … · KostovafiD etfial BMJ Global Health...

  • 1Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213

    The cost- effectiveness of hypertension management in low- income and middle- income countries: a review

    Deliana Kostova ,1 Garrison Spencer,2 Andrew E Moran,3,4 Laura K Cobb,3 Muhammad Jami Husain,1 Biplab Kumar Datta,1 Kunihiro Matsushita,5 Rachel Nugent2

    Original research

    To cite: Kostova D, Spencer G, Moran AE, et al. The cost- effectiveness of hypertension management in low- income and middle- income countries: a review. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213

    Handling editor Lei Si

    ► Additional material is published online only. To view please visit the journal online (http:// dx. doi. org/ 10. 1136/ bmjgh- 2019- 002213).

    Received 9 December 2019Revised 31 May 2020Accepted 15 June 2020

    For numbered affiliations see end of article.

    Correspondence toDr Deliana Kostova; Kiv0@ cdc. gov

    © Author(s) (or their employer(s)) 2020. Re- use permitted under CC BY- NC. No commercial re- use. See rights and permissions. Published by BMJ.

    ABSTRACTHypertension in low- income and middle- income countries (LMICs) is largely undiagnosed and uncontrolled, representing an untapped opportunity for public health improvement. Implementation of hypertension control strategies in low- resource settings depends in large part on cost considerations. However, evidence on the cost- effectiveness of hypertension interventions in LMICs is varied across geographical, clinical and evaluation contexts. We conducted a comprehensive search for published economic evaluations of hypertension treatment programmes in LMICs. The search identified 71 articles assessing a wide range of hypertension intervention designs and cost components, of which 42 studies across 15 countries reported estimates of cost- effectiveness. Although comparability of results was limited due to heterogeneity in the interventions assessed, populations studied, costs and study quality score, most interventions that reported cost per averted disability- adjusted life- year (DALY) were cost- effective, with costs per averted DALY not exceeding national income thresholds. Programme elements that may reduce cost- effectiveness included screening for hypertension at younger ages, addressing prehypertension, or treating patients at lower cardiovascular disease risk. Cost- effectiveness analysis could provide the evidence base to guide the initiation and development of hypertension programmes.

    INTRODUCTIONHypertension in low- income and middle- income countries (LMICs) remains largely undiagnosed, untreated and uncontrolled despite being a leading factor in prevent-able death and disability (Chow et al, 20131; Ibrahim and Damasceno, 20122; Lozano et al, 20183; and WHO, 20134). The subop-timal treatment of hypertension in LMICs represents an untapped opportunity for public health improvement (Frieden and Bloomberg, 2018).5 Recent estimates suggest that nearly 40 million hypertension- related deaths can be avoided over the next 25 years

    by scaling up hypertension treatment to 70% (Kontis et al, 2019).6

    Hypertension management depends on consistent and reliable access to healthcare. Areas with documented shortages of health-care workers and with limited access to formal healthcare, such as sub- Saharan Africa, have fared the worst in addressing hypertension (Geldsetzer et al, 2019).7 At the population level, weak hypertension control and insuffi-cient cardiovascular disease (CVD) prevention in LMICs can have broad implications that exceed the direct health consequences. For example, clustering of hypertension- related

    Key questions

    What is already known? ► Implementation of hypertension control strategies in low- resource settings depends in large part on cost considerations, but evidence on the cost- effectiveness of hypertension interventions from low- income and middle- income countries (LMICs) is sparse and varied across geographical, clinical and evaluation contexts.

    What are the new findings? ► Most interventions that reported cost per averted disability- adjusted life- year were cost- effective using national income thresholds, but gaps in evi-dence exist on programme elements that can affect cost- effectiveness in LMICs, such as task- sharing, risk- based treatment and standardised treatment protocols.

    What do the new findings imply? ► Hypertension control is found to be a cost- effective intervention for many LMICs. Gaps in evidence can be filled by economic evaluation of programme ele-ments that include shifting some healthcare tasks to non- physician providers, integrating cardiovascular disease (CVD) risk assessment into treatment deci-sions and incorporating standardised CVD preven-tion programmes. on June 29, 2021 by guest. P

    rotected by copyright.http://gh.bm

    j.com/

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    J Glob H

    ealth: first published as 10.1136/bmjgh-2019-002213 on 9 S

    eptember 2020. D

    ownloaded from

    http://gh.bmj.com/http://crossmark.crossref.org/dialog/?doi=10.1136/bmjgh-2019-002213&domain=pdf&date_stamp=2020-09-10http://orcid.org/0000-0003-2414-0166http://gh.bmj.com/

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    disease in younger adults, which is disproportionately more common in LMICs than high- income countries (Roth et al, 2018),8 has considerable socioeconomic effects, contributing to productivity and income losses at the household level and impeding macroeconomic growth (Bloom et al, 2011).9

    While the value of addressing hypertension in LMICs has gained recognition over the past decade, resources in this area remain limited, revealing a gap between health targets and current needs (United Nations (UN), 201110;UN, 201511; and WHO, 2018a12). The transition from goal setting to actual implementation of hyper-tension control strategies in LMICs depends in large part on cost considerations. Although some economic modelling suggests that both population- level and clin-ical interventions for hypertension control can be cost- effective (Murray et al, 200313; Jha et al, 201214; Nugent and Brouwer, 201515; Bertram et al, 201816; and WHO, 2018b17), policymakers in individual countries might regard aggregate global estimates to be insufficient evidence for policy formulation in specific country circumstances. To inform policy decisions regarding hypertension approaches in LMICs, we reviewed the current evidence on costs and cost- effectiveness of hyper-tension interventions across LMICs. The contribution of this study is twofold. First, it provides the first comprehen-sive review of the evidence on cost- effectiveness of hyper-tension management programmes in LMICs. This review summarises the available evidence most relevant to poli-cymakers in countries where hypertension management is currently limited or absent, and where decision- makers may be considering additions to health benefit packages without detailed cost or cost- effectiveness information. Second, this review documents the variation among existing studies across study designs and study quality. It produces a standardised quality score and explores contextual differences such as those that may arise between programmes based exclusively on pharmaceu-tical intervention and programmes that incorporate non- pharmaceutical components; programmes that target hypertension populations with different levels of CVD risk; or programmes applied in countries with different income levels. This too provides informative evidence to decision- makers in LMICs. The results describe a range of clinical programmes and corresponding programme cost and cost- effectiveness estimates from different settings, with varying levels of quality. We found gaps in evidence on programme elements that can affect cost- effectiveness in LMICs, such as shifting of healthcare tasks to non- physician providers, integrating CVD risk assessment into treatment decisions and standardising CVD prevention approaches.

    Patient and public involvementNo patients or human subjects were involved in the process of conducting this literature review.

    METHODSIn March 2019, we searched for articles on economic evaluation of hypertension treatment programmes in LMICs using PubMed, the Cochrane Collaboration Data-base of Systematic Reviews, the Tufts Cost- Effectiveness Analysis Registry, the UK’s National Institute for Health and Care Excellence (NICE) guidelines, the Univer-sity of York Centre for Reviews and Dissemination and the Disease Control Priorities (3rd Edition). To guide the search eligibility criteria, we developed a PICOTS table summarising the inclusion and exclusion criteria across the following elements: population, intervention, comparator, outcomes, time frame, settings and study design (Liberati et al, 2009)18 (see online supplementary appendix table A1). The search was performed using Medical Subject Headings (MeSH) and search terms related to hypertension and the pharmacological treat-ment, diagnosis, screening and management of hyper-tension. The list of MeSH terms can be found in online supplementary appendix table A2. We also used search terms for world regions; all low- income, lower middle- income and upper middle- income country names; newly classified high- income countries in South America, the Caribbean and the Pacific; and economic terms related to costs and cost- effectiveness. The PubMed search strategy can be found in online supplementary appendix table A3. We performed a supplemental ad hoc literature scan without MeSH terms in May 2020 to account for the lag in indexing and to capture any recent articles. The initial search identified 60 articles for inclusion in the review while the supplemental scan identified an additional 11 relevant publications. Results were not limited by publi-cation date.

    An inclusion/exclusion guide was created for reviewing the abstracts and full- text of articles (see online supple-mentary appendix table A4). Articles were included if they involved an intervention related to clinical screening, treatment and management of hypertension. Articles were excluded if they were designed for other diseases for which hypertension may be a risk factor or common comorbidity, or if they were for surgery patients to address acute events related to hypertension. Articles were excluded if they looked only at the cost of hyperten-sion, with no reference to a specific intervention; only studied the prevalence of hypertension; if they did not involve any clinical setting; or, if they studied knowledge or awareness of hypertension. Studies that were conducted in high- income countries, or in territories or associated states of high- income countries (with the exception of South America, the Caribbean and the Pacific), studies that were published in a foreign language, and any article that was an editorial, review, correspondence or abstract related to study design and protocol were also excluded.

    Overall, 595 references were identified: 534 from PubMed and 61 from other databases and sources. Screening abstracts identified 163 articles for full- text review of which 71 were identified as relevant for inclu-sion in the analysis (see online supplementary appendix

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    table A5). Of these, 42 studies across 15 countries provided estimates of cost- effectiveness, with the rest evaluating costs only. A diagram of the search process is depicted in figure 1. Each of the 42 cost- effectiveness studies underwent a quality assessment based on a 13- question checklist informed by Drummond guide-lines for economic evaluation of healthcare programmes (Evers et al, 2005).19 These studies were reviewed and assigned a total score equal to the sum of positive answers to the checklist questions.

    Reported indicators included: cost per mm Hg reduc-tion in systolic and/or diastolic blood pressure (table 1), cost per patient with controlled hypertension (table 2), cost per patient with hypertension (table 3), cost per averted disability- adjusted life year (DALY) (table 4) and cost per gained quality- adjusted life year (QALY) (table 5). Estimates were converted to constant 2017 US dollars (US$) and were adjusted to reflect annual amounts where applicable. Two studies reported esti-mates in purchasing- power- parity (PPP)- adjusted inter-national dollars, which were not converted into US$

    because appropriate conversion factors were not avail-able for the blend of countries examined (Ortegon et al, 201220 and Murray et al, 2003). Studies in the above cost- effectiveness categories were further categorised according to intervention type, as follows. ‘Pharm only’ indicates interventions where pharmacotherapy is the only treatment element, encompassing various combina-tions of drugs and drug classes, different providers and delivery platforms. ‘Pharm plus’ indicates combination programmes that incorporate other forms of treatment for hypertension in addition to medications, such as patient education or lifestyle changes. ‘Other’ indicates interventions that did not evaluate changes in pharma-cological treatment. Cost elements included costs of medication, laboratory work, labour, equipment, trans-portation, provider training and others.

    RESULTSStudy characteristicsThirty- six of the identified studies were conducted in upper- middle- income countries (UMICs), 30 studies were from low- income and lower- middle- income countries (LLMICs) and five studies included countries of different income levels. Studies reported costs of hypertension treatment, cost- effectiveness of hypertension treatment or both. Twenty- five of the studies included only medi-cation costs, while the remaining studies included health system costs and other services such as laboratory tests, health provider time and other screening costs. Study designs included longitudinal (seven studies), cross- sectional (four studies), modelled or simulated (22 studies), randomised control trials (seven studies) and retrospective cohort studies (two studies).

    After conducting the quality assessment based on the 13- question checklist informed by Drummond guide-lines for economic evaluation of healthcare programmes (Evers et al, 2005),19 the average quality score of the studies was 7.8. Modelled studies and randomised control trials tended to be higher quality, with average scores of 9.6 and 8.4, respectively. Longitudinal, cross- sectional and retrospective cohort studies were lower quality, with average scores of 5.0, 4.3 and 3.0, respectively (table 6).

    Fifty- four studies described pharmaceutical- only inter-ventions using various combinations of antihypertensive drugs and drug classes. Fifteen studies assessed pharma-ceutical treatment plus at least one other component, such as providing physician training, implementing treatment guidelines or offering lifestyle advice. A small number of studies did not include pharmaceutical treat-ment and instead assessed cost- effectiveness of activities such as physician training, lifestyle education (Bai et al, 201321 and Jafar et al, 2011),22 or loaning out blood pressure self- measurement devices (Calvo- Vargas et al, 2001).23 Four different delivery platforms were repre-sented across studies: community- based services; health centres providing basic medical care and staffed by a physi-cian, nurse or mid- level healthcare provider; first- level

    Figure 1 Summary diagram of the costs and cost- effectiveness literature search process. *Other sources searched include the Cochrane Collaboration Database of Systematic Reviews, the Tufts Cost- Effectiveness Analysis Registry, the UK’s National Institute for Health and Care Excellence (NICE) guidelines, the University of York Centre for Reviews and Dissemination and the Disease Control Priorities (3rd Edition). These databases were hand searched using similar terms as the PubMed search strategy found in online supplementary appendix table A3.

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  • Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213 5

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    lob Health: first published as 10.1136/bm

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    ber 2020. Dow

    nloaded from

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  • 6 Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213

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  • Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213 7

    BMJ Global Health

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    MJ G

    lob Health: first published as 10.1136/bm

    jgh-2019-002213 on 9 Septem

    ber 2020. Dow

    nloaded from

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  • 8 Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213

    BMJ Global Health

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    on June 29, 2021 by guest. Protected by copyright.

    http://gh.bmj.com

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    lob Health: first published as 10.1136/bm

    jgh-2019-002213 on 9 Septem

    ber 2020. Dow

    nloaded from

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  • Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213 9

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    Tab

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    C

    ontin

    ued

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    on June 29, 2021 by guest. Protected by copyright.

    http://gh.bmj.com

    /B

    MJ G

    lob Health: first published as 10.1136/bm

    jgh-2019-002213 on 9 Septem

    ber 2020. Dow

    nloaded from

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  • 10 Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213

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    C

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    on June 29, 2021 by guest. Protected by copyright.

    http://gh.bmj.com

    /B

    MJ G

    lob Health: first published as 10.1136/bm

    jgh-2019-002213 on 9 Septem

    ber 2020. Dow

    nloaded from

    http://gh.bmj.com/

  • Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213 11

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  • 12 Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213

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  • Kostova D, et al. BMJ Global Health 2020;5:e002213. doi:10.1136/bmjgh-2019-002213 13

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