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Quality management in healthcare organizations: Empirical evidence from the baldrige data

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  • Parast, Mahour Mellat
  • Golmohammadi, Davood

Abstract

The purpose of this paper is to investigate the determinants of customer satisfaction and quality results in the healthcare industry using the Baldrige data. We use publicly available data on quality assessment of healthcare organizations that applied for the Baldrige award to examine two research questions: 1) whether the Baldrige model is a reliable and valid model for assessment of quality practices in healthcare organizations, and 2) to determine the relationship between quality practices and their impact on quality results in the healthcare organizations. Using structural equation modeling, the findings suggest that the Baldrige model is a valid and reliable quality assessment model for healthcare organizations. Consistent with previous studies, the findings suggest that the main driver of the system is leadership, which has a significant effect on all quality practices in the healthcare industry. Controlling for the applicants’ year, the findings indicate that 1) Information analysis and knowledge management has a significant impact on Quality results, 2) Workforce development and human resource management has a significant impact on both Customer focus and satisfaction and Quality results, and 3) Strategic planning for quality has a significant impact on Customer focus and satisfaction. The study provides insights and suggestions for healthcare organizations on how to improve their quality systems using the Baldrige model.

Suggested Citation

  • Parast, Mahour Mellat & Golmohammadi, Davood, 2019. "Quality management in healthcare organizations: Empirical evidence from the baldrige data," International Journal of Production Economics, Elsevier, vol. 216(C), pages 133-144.
    • Handle: RePEc:eee:proeco:v:216:y:2019:i:c:p:133-144
    DOI: 10.1016/j.ijpe.2019.04.011
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    Citations

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    Cited by:

    1. Mahour Mellat Parast, 2021. "An assessment of the impact of corporate social responsibility on organizational quality performance: Empirical evidence from the petroleum industry," Operations Management Research, Springer, vol. 14(1), pages 138-151, June.
    2. Xu, Lu & Peng, Xianghui & Pavur, Robert & Prybutok, Victor, 2020. "Quality management theory development via meta-analysis," International Journal of Production Economics, Elsevier, vol. 229(C).
    3. Parast, Mahour Mellat & Safari, Arsalan, 2022. "Enhancing the quality and competitiveness of small businesses: A pooled cross-sectional analysis," International Journal of Production Economics, Elsevier, vol. 246(C).
    4. Ming-Lang Tseng & Phan Anh Tan & Kuo-Jui Wu & Remen Chun-Wei Lin & Nitcha Todumrongkul & Patrapapar Juladacha & Gabriella Christianti, 2020. "Sustainable Total Resource Management in Thailand Healthcare Industry under Uncertain Situations," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    5. Mahour Mellat Parast & Arsalan Safari, 2023. "Do quality and business excellence models improve quality and operational results in educational organizations? A repeated cross-sectional analysis," Operations Management Research, Springer, vol. 16(2), pages 868-886, June.
    6. Prim, Alexandre Luis & Freitas, Kenyth Alves de & Paiva, Ely Laureano & Kumar, Maneesh, 2023. "The development of quality capabilities in Brazilian breweries: A Co-evolutionary approach," International Journal of Production Economics, Elsevier, vol. 256(C).
    7. Lee, Jung Young & McFadden, Kathleen L. & Lee, Min Kyung & Gowen, Charles R., 2021. "U.S. hospital culture profiles for better performance in patient safety, patient satisfaction, Six Sigma, and lean implementation," International Journal of Production Economics, Elsevier, vol. 234(C).
    8. Parast, Mahour M., 2022. "Toward a contingency perspective of organizational and supply chain resilience," International Journal of Production Economics, Elsevier, vol. 250(C).

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