Literature DB >> 30170949

Availability and affordability of essential medicines for diabetes across high-income, middle-income, and low-income countries: a prospective epidemiological study.

Clara K Chow1, Chinthanie Ramasundarahettige2, Weihong Hu2, Khalid F AlHabib3, Alvaro Avezum4, Xiaoru Cheng5, Jephat Chifamba6, Gilles Dagenais7, Antonio Dans8, Bonaventure A Egbujie9, Rajeev Gupta10, Romaina Iqbal11, Noorhassim Ismail12, Mirac V Keskinler13, Rasha Khatib14, Lanthé Kruger15, Rajesh Kumar16, Fernando Lanas17, Scott Lear18, Patricio Lopez-Jaramillo19, Martin McKee20, Noushin Mohammadifard21, Viswanathan Mohan22, Prem Mony23, Andres Orlandini24, Annika Rosengren25, Krishnapillai Vijayakumar26, Li Wei5, Karen Yeates27, Khalid Yusoff28, Rita Yusuf29, Afzalhussein Yusufali30, Katarzyna Zatonska31, Yihong Zhou32, Shariful Islam33, Daniel Corsi2, Sumathy Rangarajan2, Koon Teo2, Hertzel C Gerstein2, Salim Yusuf2.   

Abstract

BACKGROUND: Data are scarce on the availability and affordability of essential medicines for diabetes. Our aim was to examine the availability and affordability of metformin, sulfonylureas, and insulin across multiple regions of the world and explore the effect of these on medicine use.
METHODS: In the Prospective Urban Rural Epidemiology (PURE) study, participants aged 35-70 years (n=156 625) were recruited from 110 803 households, in 604 communities and 22 countries; availability (presence of any dose of medication in the pharmacy on the day of audit) and medicine cost data were collected from pharmacies with the Environmental Profile of a Community's Health audit tool. Our primary analysis was to describe the availability and affordability of metformin and insulin and also commonly used and prescribed combinations of two medicines for diabetes management (two oral drugs, metformin plus a sulphonylurea [either glibenclamide (also known as glyburide) or gliclazide] and one oral drug plus insulin [metformin plus insulin]). Medicines were defined as affordable if the cost of medicines was less than 20% of capacity-to-pay (the household income minus food expenditure). Our analyses included data collected in pharmacies and data from representative samples of households. Data on availability were ascertained during the pharmacy audit, as were data on cost of medications. These cost data were used to estimate the cost of a month's supply of essential medicines for diabetes. We estimated affordability of medicines using income data from household surveys.
FINDINGS: Metformin was available in 113 (100%) of 113 pharmacies from high-income countries, 112 (88·2%) of 127 pharmacies in upper-middle-income countries, 179 (86·1%) of 208 pharmacies in lower-middle-income countries, 44 (64·7%) of 68 pharmacies in low-income countries (excluding India), and 88 (100%) of 88 pharmacies in India. Insulin was available in 106 (93·8%) pharmacies in high-income countries, 51 (40·2%) pharmacies in upper-middle-income countries, 61 (29·3%) pharmacies in lower-middle-income countries, seven (10·3%) pharmacies in lower-income countries, and 67 (76·1%) of 88 pharmacies in India. We estimated 0·7% of households in high-income countries and 26·9% of households in low-income countries could not afford metformin and 2·8% of households in high-income countries and 63·0% of households in low-income countries could not afford insulin. Among the 13 569 (8·6% of PURE participants) that reported a diagnosis of diabetes, 1222 (74·0%) participants reported diabetes medicine use in high-income countries compared with 143 (29·6%) participants in low-income countries. In multilevel models, availability and affordability were significantly associated with use of diabetes medicines.
INTERPRETATION: Availability and affordability of essential diabetes medicines are poor in low-income and middle-income countries. Awareness of these global differences might importantly drive change in access for patients with diabetes. FUNDING: Full funding sources listed at the end of the paper (see Acknowledgments).
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 30170949     DOI: 10.1016/S2213-8587(18)30233-X

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


  42 in total

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4.  Sex-specific effects of maternal metformin intervention during glucose-intolerant obese pregnancy on body composition and metabolic health in aged mouse offspring.

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Review 5.  Smartphone Apps for Diabetes Medication Adherence: Systematic Review.

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Review 6.  100 years of Insulin: Why is Insulin So Expensive and What Can be Done to Control Its Cost?

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8.  [Type 2 diabetes mellitus in peru: a systematic review of prevalence and incidence in the general population].

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9.  Use of the socio-ecological model to explore factors that influence the implementation of a diabetes structured education programme (EXTEND project) inLilongwe, Malawi and Maputo, Mozambique: a qualitative study.

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