Literature DB >> 35771765

Rural-Urban Differences in Diabetes Care and Control in 42 Low- and Middle-Income Countries: A Cross-sectional Study of Nationally Representative Individual-Level Data.

David Flood1,2,3, Pascal Geldsetzer4,5, Kokou Agoudavi6, Krishna K Aryal7, Luisa Campos Caldeira Brant8,9, Garry Brian10, Maria Dorobantu11, Farshad Farzadfar12, Oana Gheorghe-Fronea11,13, Mongal Singh Gurung14, David Guwatudde15, Corine Houehanou16, Jutta M Adelin Jorgensen17, Dimple Kondal18,19, Demetre Labadarios20, Maja E Marcus21, Mary Mayige22, Mana Moghimi12, Bolormaa Norov23, Gastón Perman24, Sarah Quesnel-Crooks25, Mohammad-Mahdi Rashidi12, Sahar Saeedi Moghaddam26, Jacqueline A Seiglie27, Silver K Bahendeka28,29, Eric Steinbrook30, Michaela Theilmann31, Lisa J Ware32,33, Sebastian Vollmer21, Rifat Atun34,35, Justine I Davies36,37,38, Mohammed K Ali39,40, Peter Rohloff2,41, Jennifer Manne-Goehler42,43.   

Abstract

OBJECTIVE: Diabetes prevalence is increasing rapidly in rural areas of low- and middle-income countries (LMICs), but there are limited data on the performance of health systems in delivering equitable and effective care to rural populations. We therefore assessed rural-urban differences in diabetes care and control in LMICs. RESEARCH DESIGN AND METHODS: We pooled individual-level data from nationally representative health surveys in 42 countries. We used Poisson regression models to estimate age-adjusted differences in the proportion of individuals with diabetes in rural versus urban areas achieving performance measures for the diagnosis, treatment, and control of diabetes and associated cardiovascular risk factors. We examined differences across the pooled sample, by sex, and by country.
RESULTS: The pooled sample from 42 countries included 840,110 individuals (35,404 with diabetes). Compared with urban populations with diabetes, rural populations had ∼15-30% lower relative risk of achieving performance measures for diabetes diagnosis and treatment. Rural populations with diagnosed diabetes had a 14% (95% CI 5-22%) lower relative risk of glycemic control, 6% (95% CI -5 to 16%) lower relative risk of blood pressure control, and 23% (95% CI 2-39%) lower relative risk of cholesterol control. Rural women with diabetes had lower achievement of performance measures relating to control than urban women, whereas among men, differences were small.
CONCLUSIONS: Rural populations with diabetes experience substantial inequities in the achievement of diabetes performance measures in LMICs. Programs and policies aiming to strengthen global diabetes care must consider the unique challenges experienced by rural populations.
© 2022 by the American Diabetes Association.

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Year:  2022        PMID: 35771765      PMCID: PMC9472489          DOI: 10.2337/dc21-2342

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   17.152


  39 in total

1.  Moving towards universal health coverage: lessons from 11 country studies.

Authors:  Michael R Reich; Joseph Harris; Naoki Ikegami; Akiko Maeda; Cheryl Cashin; Edson C Araujo; Keizo Takemi; Timothy G Evans
Journal:  Lancet       Date:  2015-08-21       Impact factor: 79.321

2.  Illustrating bias due to conditioning on a collider.

Authors:  Stephen R Cole; Robert W Platt; Enrique F Schisterman; Haitao Chu; Daniel Westreich; David Richardson; Charles Poole
Journal:  Int J Epidemiol       Date:  2009-11-19       Impact factor: 7.196

Review 3.  Global rural diabetes prevalence: a systematic review and meta-analysis covering 1990-2012.

Authors:  Azadeh Zabetian; Isabelle M Sanchez; K M Venkat Narayan; Christopher K Hwang; Mohammed K Ali
Journal:  Diabetes Res Clin Pract       Date:  2014-01-14       Impact factor: 5.602

4.  The state of diabetes treatment coverage in 55 low-income and middle-income countries: a cross-sectional study of nationally representative, individual-level data in 680 102 adults.

Authors:  David Flood; Jacqueline A Seiglie; Matthew Dunn; Scott Tschida; Michaela Theilmann; Maja E Marcus; Garry Brian; Bolormaa Norov; Mary T Mayige; Mongal Singh Gurung; Krishna K Aryal; Demetre Labadarios; Maria Dorobantu; Bahendeka K Silver; Pascal Bovet; Jutta M Adelin Jorgensen; David Guwatudde; Corine Houehanou; Glennis Andall-Brereton; Sarah Quesnel-Crooks; Lela Sturua; Farshad Farzadfar; Sahar Saeedi Moghaddam; Rifat Atun; Sebastian Vollmer; Till W Bärnighausen; Justine I Davies; Deborah J Wexler; Pascal Geldsetzer; Peter Rohloff; Manuel Ramírez-Zea; Michele Heisler; Jennifer Manne-Goehler
Journal:  Lancet Healthy Longev       Date:  2021-05-21

5.  The World Health Organization STEPwise Approach to Noncommunicable Disease Risk-Factor Surveillance: Methods, Challenges, and Opportunities.

Authors:  Leanne Riley; Regina Guthold; Melanie Cowan; Stefan Savin; Lubna Bhatti; Timothy Armstrong; Ruth Bonita
Journal:  Am J Public Health       Date:  2016-01       Impact factor: 9.308

6.  Prevalence and management of diabetes and metabolic risk factors in Thai adults: the Thai National Health Examination Survey IV, 2009.

Authors:  Wichai Aekplakorn; Suwat Chariyalertsak; Pattapong Kessomboon; Rassamee Sangthong; Rungkarn Inthawong; Panwadee Putwatana; Surasak Taneepanichskul
Journal:  Diabetes Care       Date:  2011-08-04       Impact factor: 19.112

7.  Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019.

Authors: 
Journal:  Lancet       Date:  2020-10-17       Impact factor: 202.731

8.  The "rule of halves" does not apply in Peru: awareness, treatment, and control of hypertension and diabetes in rural, urban, and rural-to-urban migrants.

Authors:  Alana G Lerner; Antonio Bernabe-Ortiz; Robert H Gilman; Liam Smeeth; J Jaime Miranda
Journal:  Crit Pathw Cardiol       Date:  2013-06

9.  Prevalence of obesity, hypertension, and diabetes, and cascade of care in sub-Saharan Africa: a cross-sectional, population-based study in rural and urban Malawi.

Authors:  Alison J Price; Amelia C Crampin; Alemayehu Amberbir; Ndoliwe Kayuni-Chihana; Crispin Musicha; Terence Tafatatha; Keith Branson; Debbie A Lawlor; Elenaus Mwaiyeghele; Lawrence Nkhwazi; Liam Smeeth; Neil Pearce; Elizabeth Munthali; Beatrice M Mwagomba; Charles Mwansambo; Judith R Glynn; Shabbar Jaffar; Moffat Nyirenda
Journal:  Lancet Diabetes Endocrinol       Date:  2018-01-19       Impact factor: 44.867

10.  Prevalence and unmet need for diabetes care across the care continuum in a national sample of South African adults: Evidence from the SANHANES-1, 2011-2012.

Authors:  Andrew Stokes; Kaitlyn M Berry; Zandile Mchiza; Whadi-Ah Parker; Demetre Labadarios; Lumbwe Chola; Charles Hongoro; Khangelani Zuma; Alana T Brennan; Peter C Rockers; Sydney Rosen
Journal:  PLoS One       Date:  2017-10-02       Impact factor: 3.240

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