ArticleJournal of family medicine and primary care2019
A multicentric cross-sectional study to characterize the scale and impact of polypharmacy in rural Indian communities, conducted as part of health workers training.
Article in Journal of family medicine and primary care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- A Community-Based Cross-Sectional Study to Assess the Prevalence of Polypharmacy and Potentially Inappropriate Medications among Elderly Patients in Urban Areas of Western Rajasthan.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- Predictors and patterns of polypharmacy in chronic diseases in a middle-income country.International journal of physiology, pathophysiology and pharmacology · 2021Article
- Observational
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextPolypharmacy and inappropriate medication usage is one of the world's most important public health issues. Yet in rural India, where medications are readily available, little is known about polypharmacy.
aimThis study explores factors related to polypharmacy in rural India to inform the response. SETTINGS AND
designA household survey was conducted by community health trainees, across 515 Indian villages collecting medication prescription and usage information for single illness in the past month. METHODS AND MATERIAL: Polypharmacy was defined as the concurrent usage of four or more medications for single illness. Data from 515 rural India villages were collected on medication usage for their last illness. Respondents who consulted one healthcare provider for this illness were included for analysis. STATISTICAL ANALYSIS USED: Bivariate logistic regression and multivariate generalized estimating equation analysis were used to explore associations with polypharmacy.
resultsPrevalence of polypharmacy was 13% (
conclusionsThe study demonstrates high rates of polypharmacy, identifies vulnerable populations, and provides information to improve the response to polypharmacy in rural India.
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