Artikel

Technical efficiency of selected hospitals in Eastern Ethiopia

This study examines the relative technical efficiency of 12 hospitals in Eastern Ethiopia. Using six-year-round panel data for the period between 2007/08 and 2012/13, this study examines the technical efficiency, total factor productivity, and determinants of the technical inefficiency of hospitals. Data envelopment analysis (DEA) and DEA- based Malmquist productivity index used to estimate relative technical efficiency, scale efficiency, and total factor productivity index of hospitals. Tobit model used to examine the determinants of the technical inefficiency of hospitals. The DEA Variable Returns to Scale (VRS) estimate indicated that 6 (50%), 5 (42%), 3 (25%), 3 (25%), 4 (33%), and 3 (25%) of the hospitals were technically inefficient while 9 (75%), 9 (75%), 7 (58%), 7 (58%), 7 (58%) and 8 (67%) of hospitals were scale inefficient between 2007/08 and 2012/13, respectively. On average, Malmquist Total Factor Productivity (MTFP) of the hospitals decreased by 3.6% over the panel period. The Tobit model shows that teaching hospital is less efficiency than other hospitals. The Tobit regression model further shows that medical doctor to total staff ratio, the proportion of outpatient visit to inpatient days, and the proportion of inpatients treated per medical doctor were negatively related with technical inefficiency of hospitals. Hence, policy interventions that help utilize excess capacity of hospitals, increase doctor to other staff ratio, and standardize number of inpatients treated per doctor would contribute to the improvement of the technical efficiency of hospitals.

Sprache
Englisch

Erschienen in
Journal: Health Economics Review ; ISSN: 2191-1991 ; Volume: 7 ; Year: 2017 ; Issue: 24 ; Pages: 1-13 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Thema
Technical inefficiency
DEA
Scale efficiency
Hospitals
Malmquist total factor productivity

Ereignis
Geistige Schöpfung
(wer)
Ali, Murad
Debela, Megersa
Bamud, Tewfik
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2017

DOI
doi:10.1186/s13561-017-0161-7
Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Ali, Murad
  • Debela, Megersa
  • Bamud, Tewfik
  • Springer

Entstanden

  • 2017

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