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Int J Health Care Qual Assur ; ahead-of-print(ahead-of-print)2020 Jun 16.
Article in English | MEDLINE | ID: mdl-32533813

ABSTRACT

PURPOSE: The purpose of this project was to determine the validity and reliability of the Healthcare Quality Perception (HQP) questionnaire tool designed to capture employees' perceptions of healthcare quality in Indian hospitals. DESIGN/METHODOLOGY/APPROACH: Two hundred employees in private and public sector hospitals in India were randomly selected and given the HQP tool. It consisted of 38 Likert-scale items and six different subscales: (1) Planning and Documentation (n = 7); (2) Employee Participation in Quality Management Activities (n = 5); (3) Existence of Policies/Procedures/Guidelines (n = 5); (4) Quality and Patient Safety Management (n = 9); (5) Perceived Effect of Quality Improvement (n = 7) and (6) Training and Development Opportunities (n = 5). 156 completed questionnaires were received, demonstrating a 78% response rate. HQP tool subjected to statistical analysis to measure its reliability and validity. A p-value of less than 0.05 was considered as "significant." FINDINGS: Factor analysis pulled out six factors that conjointly demonstrated 66.4 % of the variance in healthcare professionals' (HCPs') perception of healthcare service quality in selected Indian hospitals. The overall Cronbach's alpha coefficient was measured at 0.959 for internal consistency reliability. This study demonstrates that the identified six critical factors are important determinants influencing HCPs' perception of the quality of healthcare services in private and public sector hospitals in India. ORIGINALITY/VALUE: This study provides evidence for the reliability and validity of the newly developed HCP Scale for the assessment of employee perception of the quality of services offered in selected hospitals in India, with potential applications in other contexts.


Subject(s)
Attitude of Health Personnel , Hospital Administration/standards , Personnel, Hospital/psychology , Quality of Health Care , Factor Analysis, Statistical , Humans , India , Private Sector , Psychometrics/instrumentation , Public Sector , Reproducibility of Results , Surveys and Questionnaires
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