Polypharmacy and Its Correlates in Village Health Clinics across 10 Provinces of Western China.

Dong, L; Yan, H; Wang, D; (2009) Polypharmacy and Its Correlates in Village Health Clinics across 10 Provinces of Western China. Journal of epidemiology and community health. ISSN 0143-005X DOI: https://doi.org/10.1136/jech.2008.085415

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BACKGROUND: Polypharmacy represents a growing public health concern for its associations with drug-related adverse events, poor adherence, medication errors, and increased health care cost. AIM: To assess the occurrence of polypharmacy prescribing and to identify the correlates in terms of doctors and patients characteristics in rural Western China. METHODS: 20125 prescriptions were collected from 680 primary health clinics in villages from 40 counties in 10 provinces of Western China. Two outcome variables are used in the analysis: number of drug items prescribed and use of 5 or more drugs (polypharmacy). A multilevel Poisson regression model and a multilevel logistic regression model were employed to examine the socioeconomic, demographic determinants of the above two outcome variables, respectively. RESULTS: The average drug number per prescription was 2.36 and percentage of polypharmacy was 5.8%. The odds for polypharmacy were higher for village doctors with heavier workload than those with less workload (OR=1.70; 95% CI 1.26, 2.29). Patients with injections prescribed had higher odds for polypharmacy than patients without injections (OR=4.61; 95% CI 3.93, 5.42). Village doctor's workload, subsidy for doctors from government and injection in prescriptions, patients' age and gender were also significant predictors of number of drug items prescribed in the studied areas. CONCLUSIONS: Polypharmacy seems to be associated with the village doctors inverted exclamation mark and patients inverted exclamation mark background and government policy. Intervention studies are needed to promote rational use of drugs in rural China.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Medical Statistics
PubMed ID: 19854749
Web of Science ID: 277627400018
URI: http://researchonline.lshtm.ac.uk/id/eprint/4196


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