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Data Management for Applications of Patient Reported Outcomes
E A Bayliss1,2, H A Tabano1, T M Gill3
1Institute for Health Research, Kaiser Permanente Colorado, Denver, CO, US.
EGEMS (Washington, DC)
|June 9, 2018
Summary
Effective patient-reported outcomes (PROs) require comparable data collection and extractable storage. Standardizing PRO measures and increasing respondent participation optimizes multi-site research applications.
Area of Science:
- Health Services Research
- Health Informatics
Background:
- Patient-reported outcomes (PROs) are crucial for patient care and research, but optimal data management remains a challenge.
- The Health Care Systems Research Network (HCSRN) integrated PRO data collection into Medicare Health Risk Assessments (HRAs).
Observation:
- Fifteen HCSRN sites participated, with HRA completion rates varying from under 10% to 42%.
- Most sites collected core HRA elements, with some gathering additional data like social support.
- Data collection methods included paper, clinician entry, patient portals, and interactive voice response, with storage in EHRs and databases.
Findings:
- Variations exist in core PRO measures across sites.
- Data storage formats in EHRs included scanned documents, free text, and discrete fields.
- PRO data management involves collection, storage, extraction, and application.
Implications:
- Standardizing PRO measures and utilizing extractable data formats enhances multi-site research capabilities.
- Accessible individual PROs within the EHR can support point-of-care decision-making.
- Optimal PRO implementation involves collecting comparable data, storing it extractably, and maximizing respondent engagement for robust multi-site applications.
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