The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults


Journal article


Pascal Geldsetzer, Jennifer Manne-Goehler, Maja-Emilia Marcus, Cara Ebert, Zhaxybay Zhumadilov, Chea S Wesseh, Lindiwe Tsabedze, Adil Supiyev, Lela Sturua, Silver K Bahendeka, Abla M Sibai, Sarah Quesnel-Crooks, Bolormaa Norov, Kibachio J Mwangi, Omar Mwalim, Roy Wong-McClure, Mary T Mayige, Joao S Martins, Nuno Lunet, Demetre Labadarios, Khem B Karki, Gibson B Kagaruki, Jutta M A Jorgensen, Nahla C Hwalla, Dismand Houinato, Corine Houehanou, Mohamed Msaidié, David Guwatudde, Mongal S Gurung, Gladwell Gathecha, Maria Dorobantu, Albertino Damasceno, Pascal Bovet, Brice W Bicaba, Krishna K Aryal, Glennis Andall-Brereton, Kokou Agoudavi, Andrew Stokes, Justine I Davies, Till Bärnighausen, Rifat Atun, Sebastian Vollmer, Lindsay M Jaacks
The Lancet, vol. 394, 2019 Aug, pp. 652--662

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APA   Click to copy
Geldsetzer, P., Manne-Goehler, J., Marcus, M.-E., Ebert, C., Zhumadilov, Z., Wesseh, C. S., … Jaacks, L. M. (2019). The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults. The Lancet, 394, 652–662.


Chicago/Turabian   Click to copy
Geldsetzer, Pascal, Jennifer Manne-Goehler, Maja-Emilia Marcus, Cara Ebert, Zhaxybay Zhumadilov, Chea S Wesseh, Lindiwe Tsabedze, et al. “The State of Hypertension Care in 44 Low-Income and Middle-Income Countries: a Cross-Sectional Study of Nationally Representative Individual-Level Data from 1·1 Million Adults.” The Lancet 394 (August 2019): 652–662.


MLA   Click to copy
Geldsetzer, Pascal, et al. “The State of Hypertension Care in 44 Low-Income and Middle-Income Countries: a Cross-Sectional Study of Nationally Representative Individual-Level Data from 1·1 Million Adults.” The Lancet, vol. 394, Aug. 2019, pp. 652–62.


BibTeX   Click to copy

@article{geldsetzer2019a,
  title = {The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1·1 million adults},
  year = {2019},
  month = aug,
  journal = {The Lancet},
  pages = {652--662},
  volume = {394},
  author = {Geldsetzer, Pascal and Manne-Goehler, Jennifer and Marcus, Maja-Emilia and Ebert, Cara and Zhumadilov, Zhaxybay and Wesseh, Chea S and Tsabedze, Lindiwe and Supiyev, Adil and Sturua, Lela and Bahendeka, Silver K and Sibai, Abla M and Quesnel-Crooks, Sarah and Norov, Bolormaa and Mwangi, Kibachio J and Mwalim, Omar and Wong-McClure, Roy and Mayige, Mary T and Martins, Joao S and Lunet, Nuno and Labadarios, Demetre and Karki, Khem B and Kagaruki, Gibson B and Jorgensen, Jutta M A and Hwalla, Nahla C and Houinato, Dismand and Houehanou, Corine and Msaidié, Mohamed and Guwatudde, David and Gurung, Mongal S and Gathecha, Gladwell and Dorobantu, Maria and Damasceno, Albertino and Bovet, Pascal and Bicaba, Brice W and Aryal, Krishna K and Andall-Brereton, Glennis and Agoudavi, Kokou and Stokes, Andrew and Davies, Justine I and Bärnighausen, Till and Atun, Rifat and Vollmer, Sebastian and Jaacks, Lindsay M},
  month_numeric = {8}
}

Abstract

Background
Evidence from nationally representative studies in low-income and middle-income countries (LMICs) on where in the hypertension care continuum patients are lost to care is sparse. This information, however, is essential for effective targeting of interventions by health services and monitoring progress in improving hypertension care. We aimed to determine the cascade of hypertension care in 44 LMICs—and its variation between countries and population groups—by dividing the progression in the care process, from need of care to successful treatment, into discrete stages and measuring the losses at each stage.
Methods
In this cross-sectional study, we pooled individual-level population-based data from 44 LMICs. We first searched for nationally representative datasets from the WHO Stepwise Approach to Surveillance (STEPS) from 2005 or later. If a STEPS dataset was not available for a LMIC (or we could not gain access to it), we conducted a systematic search for survey datasets; the inclusion criteria in these searches were that the survey was done in 2005 or later, was nationally representative for at least three 10-year age groups older than 15 years, included measured blood pressure data, and contained data on at least two hypertension care cascade steps. Hypertension was defined as a systolic blood pressure of at least 140 mm Hg, diastolic blood pressure of at least 90 mm Hg, or reported use of medication for hypertension. Among those with hypertension, we calculated the proportion of individuals who had ever had their blood pressure measured; had been diagnosed with hypertension; had been treated for hypertension; and had achieved control of their hypertension. We weighted countries proportionally to their population size when determining this hypertension care cascade at the global and regional level. We disaggregated the hypertension care cascade by age, sex, education, household wealth quintile, body-mass index, smoking status, country, and region. We used linear regression to predict, separately for each cascade step, a country's performance based on gross domestic product (GDP) per capita, allowing us to identify countries whose performance fell outside of the 95% prediction interval.
Findings
Our pooled dataset included 1 100 507 participants, of whom 192 441 (17·5%) had hypertension. Among those with hypertension, 73·6% of participants (95% CI 72·9–74·3) had ever had their blood pressure measured, 39·2% of participants (38·2–40·3) had been diagnosed with hypertension, 29·9% of participants (28·6–31·3) received treatment, and 10·3% of participants (9·6–11·0) achieved control of their hypertension. Countries in Latin America and the Caribbean generally achieved the best performance relative to their predicted performance based on GDP per capita, whereas countries in sub-Saharan Africa performed worst. Bangladesh, Brazil, Costa Rica, Ecuador, Kyrgyzstan, and Peru performed significantly better on all care cascade steps than predicted based on GDP per capita. Being a woman, older, more educated, wealthier, and not being a current smoker were all positively associated with attaining each of the four steps of the care cascade.
Interpretation
Our study provides important evidence for the design and targeting of health policies and service interventions for hypertension in LMICs. We show at what steps and for whom there are gaps in the hypertension care process in each of the 44 countries in our study. We also identified countries in each world region that perform better than expected from their economic development, which can direct policy makers to important policy lessons. Given the high disease burden caused by hypertension in LMICs, nationally representative hypertension care cascades, as constructed in this study, are an important measure of progress towards achieving universal health coverage.

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