TY - JOUR
T1 - Perceived dimensions of healthcare quality in published research
AU - Weheba, Gamal
AU - Cure, Laila
AU - Toy, Serkan
N1 - Funding Information:
The authors would like to thank participating faculty members from the School of Medicine at the University of Kansas for their participation in the validation survey, and acknowledge contributions of Mr. Wasim Alshammary, a Ph.D. candidate at the Department of Industrial, Systems and Manufacturing Engineering, Wichita State University, and his efforts in conducting CATA.
Publisher Copyright:
© 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020
Y1 - 2020
N2 - The healthcare industry is one of the most important industries in the service field. Due to the complex nature and the number of stakeholders in healthcare systems, healthcare quality is a complex concept in and of itself. This research examines the dimensions of healthcare quality as represented in published research. To ensure content validity, codes representing initial dimensions were first validated by a panel of experts, then used to perform a computer-aided textual analysis (CATA) of 320 relevant research publications. Results indicated that healthcare quality research is dominated by nine dimensions. Principal components analysis (PCA) suggested four meta-dimensions reflecting perceptions of quality in healthcare. These dimensions are medical staff, appropriate facilities, responsive features, and assurance. The analytical approach used in the current study enhances our understanding of quality in healthcare as depicted in the relevant literature base and could help guide performance improvement efforts for practitioners, administrators, and decision-makers. In addition, the results present a framework for developing conceptually insightful and effective instruments for measuring the quality of healthcare.
AB - The healthcare industry is one of the most important industries in the service field. Due to the complex nature and the number of stakeholders in healthcare systems, healthcare quality is a complex concept in and of itself. This research examines the dimensions of healthcare quality as represented in published research. To ensure content validity, codes representing initial dimensions were first validated by a panel of experts, then used to perform a computer-aided textual analysis (CATA) of 320 relevant research publications. Results indicated that healthcare quality research is dominated by nine dimensions. Principal components analysis (PCA) suggested four meta-dimensions reflecting perceptions of quality in healthcare. These dimensions are medical staff, appropriate facilities, responsive features, and assurance. The analytical approach used in the current study enhances our understanding of quality in healthcare as depicted in the relevant literature base and could help guide performance improvement efforts for practitioners, administrators, and decision-makers. In addition, the results present a framework for developing conceptually insightful and effective instruments for measuring the quality of healthcare.
KW - Healthcare quality
KW - computer-aided text analysis
KW - principal components
KW - qualitative analysis
KW - service quality
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U2 - 10.1080/20479700.2018.1548156
DO - 10.1080/20479700.2018.1548156
M3 - Review article
AN - SCOPUS:85098843418
SN - 2047-9700
VL - 13
SP - 357
EP - 364
JO - International Journal of Healthcare Management
JF - International Journal of Healthcare Management
IS - S1
ER -