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Published on: September 30, 2020
Quality Indicators for Older Persons' Transitions in Care: A Systematic Review and Delphi Process.
Kaitlyn Tate1, Sarah Lee1, Brian H Rowe2
1Faculty of Nursing, University of Alberta, Edmonton, Alberta.
This study identified 38 quality indicators for older adult care transitions. These feasible indicators focus on effectiveness and outcomes, addressing a need for standardized development in healthcare.
Area of Science:
- Geriatric Care
- Healthcare Quality Improvement
- Health Services Research
Background:
- Transitions in care for older adults (≥ 65 years) are complex and prone to quality gaps.
- Existing quality indicators (QIs) for these transitions lack standardization and consistent data capture.
- Effective monitoring requires feasible and scientifically sound QIs applicable to administrative databases.
Purpose of the Study:
- To identify and validate quality indicators (QIs) for care transitions involving older adults.
- To assess the feasibility of capturing these QIs using Canadian administrative databases.
- To address the need for standardized QI development in geriatric care transitions.
Main Methods:
- Systematic literature review to identify QIs for older adult care transitions across continuing and acute care settings.
- Two Delphi survey rounds with experts to rank QIs based on relevance, feasibility, and scientific soundness.
- Steering committee review for feasible capture in Canadian administrative databases.
Main Results:
- Identified 326 QIs from 53 sources; finalized 38 feasible indicators for current practice.
- Highest proportions of indicators targeted the emergency department (47%) and the Institute of Medicine's effectiveness domain (39.5%).
- Most feasible indicators were outcome-focused.
Conclusions:
- A set of 38 feasible quality indicators for older adult care transitions has been identified and validated.
- Significant gaps exist in standardized QI development and the capacity of current documentation systems to capture relevant data.
- Future efforts should focus on standardizing QI development and improving data capture for enhanced care transition quality.
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