Original Research
Determinants of patient enablement at primary health care centres in central Ethiopia: a cross-sectional study
Submitted: 21 May 2010 | Published: 18 April 2011
About the author(s)
Zewdie Birhanu, Department of Health, Education and Behavioural,Sciences, Jimma University, EthiopiaMirkuzie K. Woldie, Department of Health, Services Management, Jimma University, Ethiopia
Tsion Assefa, Department of Health, Education and Behavioural,Sciences, Jimma University, Ethiopia
Sudhakar Morankar, Department of Health, Education and Behavioural, Sciences, Jimma University, Ethiopia
Abstract
Objectives: The aim of this study was to determine the degree of patient enablement and its predictors after consultation at primary health care centres in central Ethiopia.
Method: Data were collected from 768 outpatients from six primary health care centres in central Ethiopia during a cross-sectional study designed to assess patient satisfaction.Consecutive patients, 15 years or older, were selected for the study from each health centre.Multinomial logistic regression was performed to identify predictors of patient enablement using SPSS (version 16.0).
Results: The study showed that 48.4% of patients expressed an intermediate level of enablement, while 25.4% and 26.2% of the patients expressed low and high levels of patient enablement, respectively. Four models were developed to identify predictors of patient enablement. The first model included socio-demographic variables, showing that residence, educational status and occupational status were significantly associated with patient enablement (p < 0.05). This model explained only 20.5% of the variation. The second and third models included institutional aspects, and perceived doctor–patient interaction and information sharing about illness, respectively. They explained 31.1% and 64.9% of the variation. The fourth model included variables that were significantly associated with patient enablement in the first, second and third models and explained 72% of the variation. In this model, perceived empathy and technical competency, non-verbal communication, familiarity with the provider, information sharing about illness and arrangement for follow-up visits were strong predictors of patient enablement (p < 0.05).
Conclusion: The present study revealed specific predictors of patient enablement, which health care providers should consider in their practice to enhance patient enablement after consultation.
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References
Crossref Citations
1. Does Quality of Healthcare Service Determine Patient Adherence? Evidence from the Primary Healthcare Sector in India
Nandakumar Mekoth, Vidya Dalvi
Hospital Topics vol: 93 issue: 3 first page: 60 year: 2015
doi: 10.1080/00185868.2015.1108141