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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.

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|June 9, 2018
PubMed
Summary
This summary is machine-generated.

Effective patient-reported outcomes (PROs) require comparable data collection and extractable storage. Standardizing PRO measures and increasing respondent participation optimizes multi-site research applications.

Keywords:
data collectionelectronic health recordspatient reported outcomespatient-centered care

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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.