Selection, Development and Measurement of Nursing – Sensitive Quality KeyPerformance Indicators for Critically Ill Patients: A Delphi Study

Document Type : Original Article

Authors

1 Assistant Professor, Nursing Administration, Faculty of Nursing, Alexandria University, Egypt.

2 Lecturer, Nursing Administration, Faculty of Nursing, Damanhour University, Egypt.

3 Lecturer Nursing Administration, Faculty of Nursing, Alexandria University, Egypt.

Abstract

Background: The use of suitable and pertinent Key Performance Indicators (KPIs) for nursing provides an opportunity to determine the unique contribution of nurses in the caring for critically ill patients. There is a wide heterogeneity in the way indicators are defined and interpreted. This study aimed to select, develop and measure Nursing – Sensitive Quality Key Performance Indicators (KPIs) for Critically Ill Patients in all critical care units, at Alexandria Main University Hospital. Research design: A descriptive methodological research design was used. Setting and Subjects: Purposive sample of more than five years experienced staff was selected (N= 31). They were classified as follows: head nurses (n = 3), charge nurses (n=3), senior shift nurses with experience more than five years (n=15) and Intensive Care Unit physicians with experience more than five years (n=10). Three rounds of e-Delphi technique were used to seek opinions from those staff about important and relevant KPIs. Tools: Tool I: KPIs selection questionnaire by expert panel. Tool II: KPIs measurement audit sheet. Results: The final decision for the set of indicators based on consensus agreement between expert panel were 11 indicators. Conclusion: The results provide 11 KPIs perceived to be more sensitive to measure outcomes of nursing care of critically ill patients. Implications for Nursing Management: The proposed nurse-sensitive indicators provide an opportunity for recognizing gaps, developing targeted interventions for investment and improving care and mechanisms to help governance and accountability mechanisms that improve quality in health systems