Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys

Detalhes bibliográficos
Autor(a) principal: Ochmann, S
Data de Publicação: 2023
Outros Autores: von Polenz, I, Marcus, ME, Theilmann, M, Flood, D, Agoudavi, K, Aryal, KK, Bahendeka, S, Bicaba, B, Bovet, P, Campos Caldeira Brant, L, Carvalho Malta, D, Damasceno, A, Farzadfar, F, Gathecha, G, Ghanbari, A, Gurung, M, Guwatudde, D, Houehanou, C, Houinato, D, Hwalla, N, Jorgensen, JA, Karki, KB, Lunet, N, Martins, J, Mayige, M, Moghaddam, SS, Mwalim, O, Mwangi, KJ, Norov, B, Quesnel-Crooks, S, Rezaei, N, Sibai, AM, Sturua, L, Tsabedze, L, Wong-McClure, R, Davies, J, Geldsetzer, P, Bärnighausen, T, Atun, R, Manne-Goehler, J, Vollmer, S
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/154164
Resumo: Background Testing for the risk factors of cardiovascular disease, which include hypertension, diabetes, and hypercholesterolaemia, is important for timely and effective risk management. Yet few studies have quantified and analysed testing of cardiovascular risk factors in low-income and middle-income countries (LMICs) with respect to sociodemographic inequalities. We aimed to address this knowledge gap. Methods In this cross-sectional analysis, we pooled individual-level data for non-pregnant adults aged 18 years or older from nationally representative surveys done between Jan 1, 2010, and Dec 31, 2019 in LMICs that included a question about whether respondents had ever had their blood pressure, glucose, or cholesterol measured. We analysed diagnostic testing performance by quantifying the overall proportion of people who had ever been tested for these cardiovascular risk factors and the proportion of individuals who met the diagnostic testing criteria in the WHO package of essential noncommunicable disease interventions for primary care (PEN) guidelines (ie, a BMI >30 kg/m2 or a BMI >25 kg/m2 among people aged 40 years or older). We disaggregated and compared diagnostic testing performance by sex, wealth quintile, and education using two-sided t tests and multivariable logistic regression models. Findings Our sample included data for 994 185 people from 57 surveys. 19·1% (95% CI 18·5–19·8) of the 943 259 people in the hypertension sample met the WHO PEN criteria for diagnostic testing, of whom 78·6% (77·8–79·2) were tested. 23·8% (23·4–24·3) of the 225 707 people in the diabetes sample met the WHO PEN criteria for diagnostic testing, of whom 44·9% (43·7–46·2) were tested. Finally, 27·4% (26·3–28·6) of the 250 573 people in the hypercholesterolaemia sample met the WHO PEN criteria for diagnostic testing, of whom 39·7% (37·1–2·4) were tested. Women were more likely than men to be tested for hypertension and diabetes, and people in higher wealth quintiles compared with those in the lowest wealth quintile were more likely to be tested for all three risk factors, as were people with at least secondary education compared with those with less than primary education. Interpretation Our study shows opportunities for health systems in LMICs to improve the targeting of diagnostic testing for cardiovascular risk factors and adherence to diagnostic testing guidelines. Risk-factor-based testing recommendations rather than sociodemographic characteristics should determine which individuals are tested. Funding Harvard McLennan Family Fund, the Alexander von Humboldt Foundation, and the National Heart, Lung, and Blood Institute of the US National Institutes of Health.
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spelling Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveysBackground Testing for the risk factors of cardiovascular disease, which include hypertension, diabetes, and hypercholesterolaemia, is important for timely and effective risk management. Yet few studies have quantified and analysed testing of cardiovascular risk factors in low-income and middle-income countries (LMICs) with respect to sociodemographic inequalities. We aimed to address this knowledge gap. Methods In this cross-sectional analysis, we pooled individual-level data for non-pregnant adults aged 18 years or older from nationally representative surveys done between Jan 1, 2010, and Dec 31, 2019 in LMICs that included a question about whether respondents had ever had their blood pressure, glucose, or cholesterol measured. We analysed diagnostic testing performance by quantifying the overall proportion of people who had ever been tested for these cardiovascular risk factors and the proportion of individuals who met the diagnostic testing criteria in the WHO package of essential noncommunicable disease interventions for primary care (PEN) guidelines (ie, a BMI >30 kg/m2 or a BMI >25 kg/m2 among people aged 40 years or older). We disaggregated and compared diagnostic testing performance by sex, wealth quintile, and education using two-sided t tests and multivariable logistic regression models. Findings Our sample included data for 994 185 people from 57 surveys. 19·1% (95% CI 18·5–19·8) of the 943 259 people in the hypertension sample met the WHO PEN criteria for diagnostic testing, of whom 78·6% (77·8–79·2) were tested. 23·8% (23·4–24·3) of the 225 707 people in the diabetes sample met the WHO PEN criteria for diagnostic testing, of whom 44·9% (43·7–46·2) were tested. Finally, 27·4% (26·3–28·6) of the 250 573 people in the hypercholesterolaemia sample met the WHO PEN criteria for diagnostic testing, of whom 39·7% (37·1–2·4) were tested. Women were more likely than men to be tested for hypertension and diabetes, and people in higher wealth quintiles compared with those in the lowest wealth quintile were more likely to be tested for all three risk factors, as were people with at least secondary education compared with those with less than primary education. Interpretation Our study shows opportunities for health systems in LMICs to improve the targeting of diagnostic testing for cardiovascular risk factors and adherence to diagnostic testing guidelines. Risk-factor-based testing recommendations rather than sociodemographic characteristics should determine which individuals are tested. Funding Harvard McLennan Family Fund, the Alexander von Humboldt Foundation, and the National Heart, Lung, and Blood Institute of the US National Institutes of Health.Elsevier20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/154164eng2214-109X10.1016/S2214-109X(23)00280-2Ochmann, Svon Polenz, IMarcus, METheilmann, MFlood, DAgoudavi, KAryal, KKBahendeka, SBicaba, BBovet, PCampos Caldeira Brant, LCarvalho Malta, DDamasceno, AFarzadfar, FGathecha, GGhanbari, AGurung, MGuwatudde, DHouehanou, CHouinato, DHwalla, NJorgensen, JAKarki, KBLunet, NMartins, JMayige, MMoghaddam, SSMwalim, OMwangi, KJNorov, BQuesnel-Crooks, SRezaei, NSibai, AMSturua, LTsabedze, LWong-McClure, RDavies, JGeldsetzer, PBärnighausen, TAtun, RManne-Goehler, JVollmer, Sinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:01:53Zoai:repositorio-aberto.up.pt:10216/154164Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:52:57.059051Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys
title Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys
spellingShingle Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys
Ochmann, S
title_short Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys
title_full Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys
title_fullStr Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys
title_full_unstemmed Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys
title_sort Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys
author Ochmann, S
author_facet Ochmann, S
von Polenz, I
Marcus, ME
Theilmann, M
Flood, D
Agoudavi, K
Aryal, KK
Bahendeka, S
Bicaba, B
Bovet, P
Campos Caldeira Brant, L
Carvalho Malta, D
Damasceno, A
Farzadfar, F
Gathecha, G
Ghanbari, A
Gurung, M
Guwatudde, D
Houehanou, C
Houinato, D
Hwalla, N
Jorgensen, JA
Karki, KB
Lunet, N
Martins, J
Mayige, M
Moghaddam, SS
Mwalim, O
Mwangi, KJ
Norov, B
Quesnel-Crooks, S
Rezaei, N
Sibai, AM
Sturua, L
Tsabedze, L
Wong-McClure, R
Davies, J
Geldsetzer, P
Bärnighausen, T
Atun, R
Manne-Goehler, J
Vollmer, S
author_role author
author2 von Polenz, I
Marcus, ME
Theilmann, M
Flood, D
Agoudavi, K
Aryal, KK
Bahendeka, S
Bicaba, B
Bovet, P
Campos Caldeira Brant, L
Carvalho Malta, D
Damasceno, A
Farzadfar, F
Gathecha, G
Ghanbari, A
Gurung, M
Guwatudde, D
Houehanou, C
Houinato, D
Hwalla, N
Jorgensen, JA
Karki, KB
Lunet, N
Martins, J
Mayige, M
Moghaddam, SS
Mwalim, O
Mwangi, KJ
Norov, B
Quesnel-Crooks, S
Rezaei, N
Sibai, AM
Sturua, L
Tsabedze, L
Wong-McClure, R
Davies, J
Geldsetzer, P
Bärnighausen, T
Atun, R
Manne-Goehler, J
Vollmer, S
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
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author
author
author
dc.contributor.author.fl_str_mv Ochmann, S
von Polenz, I
Marcus, ME
Theilmann, M
Flood, D
Agoudavi, K
Aryal, KK
Bahendeka, S
Bicaba, B
Bovet, P
Campos Caldeira Brant, L
Carvalho Malta, D
Damasceno, A
Farzadfar, F
Gathecha, G
Ghanbari, A
Gurung, M
Guwatudde, D
Houehanou, C
Houinato, D
Hwalla, N
Jorgensen, JA
Karki, KB
Lunet, N
Martins, J
Mayige, M
Moghaddam, SS
Mwalim, O
Mwangi, KJ
Norov, B
Quesnel-Crooks, S
Rezaei, N
Sibai, AM
Sturua, L
Tsabedze, L
Wong-McClure, R
Davies, J
Geldsetzer, P
Bärnighausen, T
Atun, R
Manne-Goehler, J
Vollmer, S
description Background Testing for the risk factors of cardiovascular disease, which include hypertension, diabetes, and hypercholesterolaemia, is important for timely and effective risk management. Yet few studies have quantified and analysed testing of cardiovascular risk factors in low-income and middle-income countries (LMICs) with respect to sociodemographic inequalities. We aimed to address this knowledge gap. Methods In this cross-sectional analysis, we pooled individual-level data for non-pregnant adults aged 18 years or older from nationally representative surveys done between Jan 1, 2010, and Dec 31, 2019 in LMICs that included a question about whether respondents had ever had their blood pressure, glucose, or cholesterol measured. We analysed diagnostic testing performance by quantifying the overall proportion of people who had ever been tested for these cardiovascular risk factors and the proportion of individuals who met the diagnostic testing criteria in the WHO package of essential noncommunicable disease interventions for primary care (PEN) guidelines (ie, a BMI >30 kg/m2 or a BMI >25 kg/m2 among people aged 40 years or older). We disaggregated and compared diagnostic testing performance by sex, wealth quintile, and education using two-sided t tests and multivariable logistic regression models. Findings Our sample included data for 994 185 people from 57 surveys. 19·1% (95% CI 18·5–19·8) of the 943 259 people in the hypertension sample met the WHO PEN criteria for diagnostic testing, of whom 78·6% (77·8–79·2) were tested. 23·8% (23·4–24·3) of the 225 707 people in the diabetes sample met the WHO PEN criteria for diagnostic testing, of whom 44·9% (43·7–46·2) were tested. Finally, 27·4% (26·3–28·6) of the 250 573 people in the hypercholesterolaemia sample met the WHO PEN criteria for diagnostic testing, of whom 39·7% (37·1–2·4) were tested. Women were more likely than men to be tested for hypertension and diabetes, and people in higher wealth quintiles compared with those in the lowest wealth quintile were more likely to be tested for all three risk factors, as were people with at least secondary education compared with those with less than primary education. Interpretation Our study shows opportunities for health systems in LMICs to improve the targeting of diagnostic testing for cardiovascular risk factors and adherence to diagnostic testing guidelines. Risk-factor-based testing recommendations rather than sociodemographic characteristics should determine which individuals are tested. Funding Harvard McLennan Family Fund, the Alexander von Humboldt Foundation, and the National Heart, Lung, and Blood Institute of the US National Institutes of Health.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/154164
url https://hdl.handle.net/10216/154164
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2214-109X
10.1016/S2214-109X(23)00280-2
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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