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Using Routinely Collected Data to Ascertain Concordance With Advance Care Planning Preferences
Woan Shin Tan1, Ram Bajpai2, Chan Kee Low3
1Centre for Population Health Sciences, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore; NTU Institute for Health Technologies (NTU HealthTech), Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore; Health Services and Outcomes Research Department, National Healthcare Group, Singapore, Singapore.
Advance care planning outcomes were assessed using administrative health data. Most patients (98%) received preferred comfort care, but home death preferences were met less often (40%).
Area of Science:
- Health Services Research
- Public Health
- Gerontology
Background:
- Assessing the alignment between patient preferences and care received is crucial for evaluating advance care planning effectiveness.
- Routinely collected health care data offer a potential avenue for large-scale outcome assessment in national programs.
Purpose of the Study:
- To determine the feasibility of using administrative health data to evaluate advance care planning outcomes.
- To measure the concordance between patients' stated goals and preferences and the care they actually received.
Main Methods:
- A retrospective cohort study utilizing administrative data, including hospital procedural and diagnosis-related codes, health service utilization, and death registry data.
- Medical treatments, places of care, and place of death were extracted from administrative records.
- These data were compared against individual advance care planning preferences to assess concordance.
Main Results:
- The study included 1731 decedents aged 21 years and above who had completed advance care planning documentation.
- Ninety-eight percent of individuals desiring comfort measures received them.
- Concordance varied for other preferences: 65% received home care when desired, and 40% achieved home death wishes.
Conclusions:
- Administrative data provide a cost-efficient method for evaluating large, population-based national advance care planning programs.
- While promising, this approach requires further validation before widespread implementation for outcome assessment.
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