Predictors of utilization of public healthcare facilities in India: an empirical assessment.
Aim: As the government of India has been undertaking various initiatives since 2005 (launch year of National Rural Health Mission) to increase the utilization of public healthcare facilities, it is very important to investigate the factors governing their utilization. Therefore, the purpose of this...
| Publicado en: | Journal of Public Health: From Theory to Practice (2198-1833) Vol. 32; no. 11; pp. 2129 - 2139 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Nov2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=181514981&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 181514981 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 21981833 NENI jtl: Journal of Public Health: From Theory to Practice (2198-1833) issn: 21981833 maglogo: N pubinfo: dt: Nov2024 vid: 32 iid: 11 pid: 237 pub: Springer Nature artinfo: ui: 181514981 10.1007/s10389-023-01970-w ppf: 2129 ppct: 10 formats: tig: atl: Predictors of utilization of public healthcare facilities in India: an empirical assessment. aug: au: Raina, Shahid Hamid Dar, Khursheed Hussain Hassan, Samir-ul Ahmad, Masroor affil: Department of Social Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India https://ror.org/03asvq815 Department of Economics, Central University of Kashmir, Ganderbal, J& K, India Department of Commerce, NMIMS, Mumbai, India su: India Empirical research Interviewing Medical care Population geography Patient satisfaction Medical care costs Public hospitals Medical care use Multiple regression analysis Descriptive statistics Research methodology Treatment delay (Medicine) sug: subj: Empirical research Interviewing Medical care Population geography Patient satisfaction Medical care costs India General Medical and Surgical Hospitals Public hospitals Medical care use Multiple regression analysis Descriptive statistics Research methodology Treatment delay (Medicine) keyword: Healthcare Hospitals Patients Predictors Public Utilization Healthcare Hospitals Patients Predictors Public Utilization ab: Aim: As the government of India has been undertaking various initiatives since 2005 (launch year of National Rural Health Mission) to increase the utilization of public healthcare facilities, it is very important to investigate the factors governing their utilization. Therefore, the purpose of this study was to explore the determinants of utilization of public healthcare facilities in India. Subject and methods: The data for the study were collected using a comprehensive structured interview schedule. Data were collected from 399 outpatients of district hospitals of the erstwhile state of Jammu and Kashmir, India. A logit model was used to study the variables determining the use of public healthcare facilities. Results: The results showed that distance and waiting time are negatively related to utilization, whereas satisfaction with hospital services and provision of free medicines are positively related and significantly increase the odds in favour of utilization of public hospitals. It was found that more than 60% of outpatients belonged to groups below the poverty line (BPL) and Antodaya Anna Yojna (AAY) families, but most of them had to spend out of pocket for medicines and diagnostic tests. Conclusion: The findings suggest that service delivery and provision of free medicines significantly increase the odds in favour of utilization whereas delayed services and distance decrease the odds in favour of utilization. Implications: The outcomes of this study are significant to achieve universal health coverage. Our study indicates that user fees should be abolished at least for economically disadvantaged patients, and the availability of medicines should be improved significantly to increase the utilization of public helathcare facilities as envisaged in National Health Policy, 2017. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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