PMID- 38016309 OWN - NLM STAT- MEDLINE DCOM- 20240122 LR - 20240320 IS - 1873-5347 (Electronic) IS - 0277-9536 (Linking) VI - 340 DP - 2024 Jan TI - Health poverty among people with type 2 diabetes mellitus (T2DM) in Malaysia. PG - 116426 LID - S0277-9536(23)00783-9 [pii] LID - 10.1016/j.socscimed.2023.116426 [doi] AB - In the context of the escalating burden of diabetes in low and middle-income countries (LMICs), there is a pressing concern about the widening disparities in care and outcomes across socioeconomic groups. This paper estimates health poverty measures among individuals with type 2 diabetes mellitus (T2DM) in Malaysia. Using data from the National Diabetes Registry between 2009 and 2018, the study linked 932,855 people with T2DM aged 40-75 to death records. Cox proportional hazards models were used to estimate the 5-year survival probabilities for each patient, stratified by age and sex, while controlling for comorbidities and area-based indicators of socio-economic status (SES), such as district-level asset-based indices and night-time luminosity. Measures of health poverty, based on the Foster-Greer-Thorbecke (FGT) measures, were employed to capture excessive risk of premature mortality. Two poverty line thresholds were used, namely a 5% and 10% reduction in survival probability compared to age and sex-adjusted survival probability of the general population. Counterfactual simulations estimated the extent to which comorbidities contribute to health poverty. 43.5% of the sample experienced health poverty using the 5% threshold, and 8.9% were health poor using the 10% threshold. Comorbidities contribute 2.9% for males and 5.4% for females, at the 5% threshold. At the 10% threshold, they contribute 7.4% for males and 3.4% for females. If all patients lived in areas of highest night-light intensity, poverty would fall by 5.8% for males and 4.6% for females at the 5% threshold, and 4.1% for males and 0.8% for females at the 10% threshold. In Malaysia, there is a high incidence of health poverty among people with diabetes, and it is strongly associated with comorbidities and area-based measures of SES. Expanding the application of health poverty measurement, through a combination of clinical registries and open spatial data, can facilitate simulations for health poverty alleviation. CI - Copyright (c) 2023 The Authors. Published by Elsevier Ltd.. All rights reserved. FAU - Parra-Mujica, Fiorella AU - Parra-Mujica F AD - Erasmus School of Health Policy and Management (ESHPM), Erasmus, University Rotterdam, the Netherlands; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Erasmus Center for Health Economics Rotterdam (EsCHER), the Netherlands. Electronic address: parramujica@eshpm.eur.nl. FAU - Roope, Laurence Sj AU - Roope LS AD - Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom. FAU - Abdul-Aziz, Alia AU - Abdul-Aziz A AD - Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. FAU - Mustapha, Feisul AU - Mustapha F AD - Non-communicable Disease Section, Disease Control Division, Ministry of Health, Putrajaya, Malaysia. FAU - Ng, Chiu Wan AU - Ng CW AD - Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. FAU - Rampal, Sanjay AU - Rampal S AD - Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. FAU - Lim, Lee-Ling AU - Lim LL AD - Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China. FAU - Dakin, Helen AU - Dakin H AD - Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom. FAU - Clarke, Philip AU - Clarke P AD - Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom. LA - eng GR - MR/T018593/1/MRC_/Medical Research Council/United Kingdom PT - Journal Article DEP - 20231122 PL - England TA - Soc Sci Med JT - Social science & medicine (1982) JID - 8303205 SB - IM MH - Male MH - Female MH - Humans MH - *Diabetes Mellitus, Type 2/epidemiology MH - Poverty MH - Malaysia/epidemiology MH - Social Class MH - Comorbidity MH - Socioeconomic Factors OTO - NOTNLM OT - Diabetes OT - Health poverty OT - Inequality OT - Luminosity OT - T2DM EDAT- 2023/11/29 00:42 MHDA- 2024/01/22 06:43 CRDT- 2023/11/28 18:07 PHST- 2023/06/26 00:00 [received] PHST- 2023/11/06 00:00 [revised] PHST- 2023/11/10 00:00 [accepted] PHST- 2024/01/22 06:43 [medline] PHST- 2023/11/29 00:42 [pubmed] PHST- 2023/11/28 18:07 [entrez] AID - S0277-9536(23)00783-9 [pii] AID - 10.1016/j.socscimed.2023.116426 [doi] PST - ppublish SO - Soc Sci Med. 2024 Jan;340:116426. doi: 10.1016/j.socscimed.2023.116426. Epub 2023 Nov 22.