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Effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis

OBJECTIVES: To assess the effects of integrated models of care for people with multimorbidity including at least diabetes or hypertension in low-income and middle-income countries (LMICs) on health and process outcomes. DESIGN: Systematic review. DATA SOURCES: We searched MEDLINE, EMBASE, Cochrane C...

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Autores principales: Rohwer, Anke, Uwimana Nicol, Jeannine, Toews, Ingrid, Young, Taryn, Bavuma, Charlotte M, Meerpohl, Joerg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276295/
https://www.ncbi.nlm.nih.gov/pubmed/34253658
http://dx.doi.org/10.1136/bmjopen-2020-043705
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author Rohwer, Anke
Uwimana Nicol, Jeannine
Toews, Ingrid
Young, Taryn
Bavuma, Charlotte M
Meerpohl, Joerg
author_facet Rohwer, Anke
Uwimana Nicol, Jeannine
Toews, Ingrid
Young, Taryn
Bavuma, Charlotte M
Meerpohl, Joerg
author_sort Rohwer, Anke
collection PubMed
description OBJECTIVES: To assess the effects of integrated models of care for people with multimorbidity including at least diabetes or hypertension in low-income and middle-income countries (LMICs) on health and process outcomes. DESIGN: Systematic review. DATA SOURCES: We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, LILACS, Africa-Wide, CINAHL and Web of Science up to 12 December 2019. ELIGIBILITY CRITERIA: We included randomised controlled trials (RCTs), non-RCTs, controlled before-and-after studies and interrupted time series (ITS) studies of people with diabetes and/or hypertension plus any other disease, in LMICs; assessing the effects of integrated care. DATA EXTRACTION AND SYNTHESIS: Two authors independently screened retrieved records; extracted data and assessed risk of bias. We conducted meta-analysis where possible and assessed certainty of evidence using Grading of Recommendations Assessment, Development and Evaluation. RESULTS: Of 7568 records, we included five studies—two ITS studies and three cluster RCTs. Studies were conducted in South Africa (n=3), Uganda/Kenya (n=1) and India (n=1). Integrated models of care compared with usual care may make little or no difference to mortality (very low certainty), the number of people achieving blood pressure (BP) or diabetes control (very low certainty) and access to care (very low certainty); may increase the number of people who achieve both HIV and BP/diabetes control (very low certainty); and may have a very small effect on achieving HIV control (very low certainty). Interventions to promote integrated delivery of care compared with usual care may make little or no difference to mortality (very low certainty), depression (very low certainty) and quality of life (very low certainty); and may have little or no effect on glycated haemoglobin (low certainty), systolic BP (low certainty) and total cholesterol levels (low certainty). CONCLUSIONS: Current evidence on the effects of integrated care on health outcomes is very uncertain. Programmes and policies on integrated care must consider context-specific factors related to health systems and populations. PROSPERO REGISTRATION NUMBER: CRD42018099314.
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spelling pubmed-82762952021-07-27 Effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis Rohwer, Anke Uwimana Nicol, Jeannine Toews, Ingrid Young, Taryn Bavuma, Charlotte M Meerpohl, Joerg BMJ Open Health Services Research OBJECTIVES: To assess the effects of integrated models of care for people with multimorbidity including at least diabetes or hypertension in low-income and middle-income countries (LMICs) on health and process outcomes. DESIGN: Systematic review. DATA SOURCES: We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, LILACS, Africa-Wide, CINAHL and Web of Science up to 12 December 2019. ELIGIBILITY CRITERIA: We included randomised controlled trials (RCTs), non-RCTs, controlled before-and-after studies and interrupted time series (ITS) studies of people with diabetes and/or hypertension plus any other disease, in LMICs; assessing the effects of integrated care. DATA EXTRACTION AND SYNTHESIS: Two authors independently screened retrieved records; extracted data and assessed risk of bias. We conducted meta-analysis where possible and assessed certainty of evidence using Grading of Recommendations Assessment, Development and Evaluation. RESULTS: Of 7568 records, we included five studies—two ITS studies and three cluster RCTs. Studies were conducted in South Africa (n=3), Uganda/Kenya (n=1) and India (n=1). Integrated models of care compared with usual care may make little or no difference to mortality (very low certainty), the number of people achieving blood pressure (BP) or diabetes control (very low certainty) and access to care (very low certainty); may increase the number of people who achieve both HIV and BP/diabetes control (very low certainty); and may have a very small effect on achieving HIV control (very low certainty). Interventions to promote integrated delivery of care compared with usual care may make little or no difference to mortality (very low certainty), depression (very low certainty) and quality of life (very low certainty); and may have little or no effect on glycated haemoglobin (low certainty), systolic BP (low certainty) and total cholesterol levels (low certainty). CONCLUSIONS: Current evidence on the effects of integrated care on health outcomes is very uncertain. Programmes and policies on integrated care must consider context-specific factors related to health systems and populations. PROSPERO REGISTRATION NUMBER: CRD42018099314. BMJ Publishing Group 2021-07-12 /pmc/articles/PMC8276295/ /pubmed/34253658 http://dx.doi.org/10.1136/bmjopen-2020-043705 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Services Research
Rohwer, Anke
Uwimana Nicol, Jeannine
Toews, Ingrid
Young, Taryn
Bavuma, Charlotte M
Meerpohl, Joerg
Effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis
title Effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis
title_full Effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis
title_fullStr Effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis
title_full_unstemmed Effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis
title_short Effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis
title_sort effects of integrated models of care for diabetes and hypertension in low-income and middle-income countries: a systematic review and meta-analysis
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276295/
https://www.ncbi.nlm.nih.gov/pubmed/34253658
http://dx.doi.org/10.1136/bmjopen-2020-043705
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