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Published on: February 16, 2011
Multiple case study of processes used by hospitals to select performance indicators: do they align with best
Michael A Heenan1, Glen E Randall1, Jenna M Evans1
1DeGroote School of Business, McMaster University, Hamilton, Ontario L8S 4M4, Canada.
Hospitals often struggle to select relevant performance indicators, frequently overlooking frontline manager input. This can lead to a focus on government-mandated metrics rather than those crucial for local operations and improvement.
Area of Science:
- Health Services Research
- Healthcare Management
- Quality Improvement Science
Background:
- Health policy institutes advocate for reducing hospital performance indicators to enhance focus on local contexts.
- Understanding indicator selection processes is crucial for identifying appropriate indicators for elimination.
- The 5-P Indicator Selection Process Framework provides a model for effective indicator selection.
Purpose of the Study:
- To classify hospital indicator selection processes.
- To analyze the alignment of these processes with the 5-P Indicator Selection Process Framework.
- To identify gaps and challenges in current indicator selection practices.
Main Methods:
- Qualitative, multiple case study design.
- Involved four large acute care hospitals in Ontario, Canada.
- Data collection via 13 semistructured interviews and document analysis, followed by thematic analysis.
Main Results:
- Two distinct hospital indicator selection processes were identified.
- Hospitals commonly implemented elements like clear aims, governance, mandated indicators, and strategic themes.
- Key absent elements included evidence-based criteria, finance/HR indicators, structure/process/outcome considerations, and broad end-user engagement.
- Hospitals face challenges balancing mandated versus local indicators and often exclude frontline managers.
Conclusions:
- Hospital indicator selection processes partially align with the 5-P framework but have significant gaps.
- Excluding frontline managers risks selecting indicators misaligned with operational realities and unit-level performance needs.
- Improving indicator selection requires greater engagement of end-users and incorporation of evidence-based criteria.
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