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Developing a set of indicators to monitor quality in ambulatory diabetes care using a modified Delphi panel process
Geetha Mukerji1,2, Ilana Halperin2,3, Katie Hunter4
1Women's College Hospital, 76 Grenville St, Toronto, Ontario M5S 1B2, Canada.
Objective:
There is a large evidence to practice gap in diabetes care with limited performance assessments that capture the full spectrum of care delivery. Our study aimed to develop a set of ambulatory diabetes quality indicators across six domains (effectiveness, safety, patient-centered, timely, equitable and efficient) to provide a broad view of quality.
Design:
A modified Delphi panel process was conducted. Phase I involved compiling a list of indicators through literature review and generation of patient and healthcare provider-derived indicators through interviews and surveys, respectively. Phase II involved panelists rating indicators using the Agency for Healthcare Research and Quality measure attributes on 9-point Likert scale, attending a face-to-face meeting followed by re-rating, and final ranking.
Setting:
This study was conducted across five adult academic medical centers affiliated with the University of Toronto.
Participants:
A multi-disciplinary Delphi panel (n = 16) including patients was assembled.
Main Outcome Measure:
For indicator advancement for ranking, ≥75% of panelists' responses in the top tertile (between 7 and 9) with a median composite score of ≥7 was required.
Results:
There were 202 indicators included in the Delphi panel process including 171 from a comprehensive literature review, 14 from patient interviews, and 17 from healthcare provider surveys. Following the first round, 40 indicators proceeded directly to ranking, while 162 indicators were re-rated and distilled down to 12 for ranking. In the final ranking round, the 52 indicators were reduced to 35 including 13 effective, 10 safe, 6 patient-centered, 1 equitable, 3 efficient and 2 timely indicators.
Conclusion:
Thirty-five selected indicators developed with broad stakeholder engagement can be used to monitor quality in diabetes care.
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