Performance measures for a dialysis setting

Abstract

Gu X., Itoh K. (2018). Performance measures for a dialysis setting. Journal of Renal Care 44(1), 52-59. S U M M A R YObjectives: This study from Japan extracted performance measures for dialysis unit management and investigated their characteristics from professional views. Methods: Two surveys were conducted using self-administered questionnaires, in which dialysis managers/staff were asked to rate the usefulness of 44 performance indicators. A total of 255 managers and 2,097 staff responded. Results: Eight performance measures were elicited from dialysis manager and staff responses: these were safety, operational efficiency, quality of working life, financial effectiveness, employee development, mortality, patient/employee satisfaction and patient-centred health care. These performance measures were almost compatible with those extracted in overall healthcare settings in a previous study. Internal reliability, content and construct validity of the performance measures for the dialysis setting were ensured to some extent. As a general trend, both dialysis managers and staff perceived performance measures as highly useful, especially for safety, mortality, operational efficiency and patient/ employee satisfaction, but showed relatively low concerns for patient-centred health care and employee development. However, dialysis managers' usefulness perceptions were significantly higher than staff. Conclusions: Important guidelines for designing a holistic hospital/clinic management system were yielded. Performance measures must be balanced for outcomes and performance shaping factors (PSF); a common set of performance measures could be applied to all the healthcare settings, although performance indicators of each measure should be composed based on the application field and setting; in addition, sound causal relationships between PSF and outcome measures/ indicators should be explored for further improvement. K E Y W O R D S Dialysis therapy Holistic management Performance indicator Performance measurement B I O D A T AXiuzhu Gu is an Assistant Professor in the Department of Industrial Engineering and Economics at Tokyo Institute of Technology. She has a special interest in human factors, especially risk management in health care, and has conducted research on safety culture, error disclosure, and human error taxonomy. She also has an interest in operations management in health care, making efforts to improve healthcare efficiency and effectiveness from perspectives of important stakeholders such as patients, employees, management and community.

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