Coverage of physical therapy assessments in the Observational Medical Outcomes Partnership Model common data model.

BACKGROUND

High-value care aims to enhance meaningful patient outcomes while reducing costs and is accelerated by curating data across healthcare systems through common data models (CDMs), such as Observational Medical Outcomes Partnership Model (OMOP). Meaningful patient outcomes, such as physical function, must be included in these CDMs. However, the extent that physical therapy assessments are covered in the OMOP CDM is unclear.

OBJECTIVE

Examine the extent that physical therapy assessments used in neurologic and orthopaedic conditions are in the OMOP CDM.

METHODS

After identifying assessments, two reviewer teams independently mapped the neurologic and orthopaedic assessments into the OMOP CDM. We quantified agreement within the reviewer team by the number of assessments mapped by both reviewers, one reviewer but not the other, or neither reviewer. The reviewer teams then reconciled disagreements, after which we examined agreement and the average number of concept ID numbers per assessment.

RESULTS

Of the 81 neurologic assessments, 48.1% (39/81) were initially mapped by both reviewers, 9.9% (8/81) were mapped by one reviewer but not the other, and 42% (34/81) were unmapped. After reconciliation, 46.9% (38/81) were mapped by both reviewers and 53.1% (43/81) were unmapped. Of the 79 orthopaedic assessments, 46.8% (37/79) were initially mapped by both reviewers, 12.7% (10/79) were mapped by one reviewer but not the other, and 48.1% (38/79) were unmapped. After reconciliation, 48.1% (38/79) were mapped by both reviewers and 51.9% (41/79) were unmapped. Most assessments that were mapped had more than one concept ID number (2.2±1.3 and 4.3±4.4 concept IDs per neurologic and orthopaedic assessment, respectively).

CONCLUSIONS

The OMOP CDM includes some assessments recommended for use in neurologic and orthopaedic conditions, but many have multiple concept IDs. Including more functional assessments in the OMOP CDM and creating guidelines for mapping would improve our ability to include functional data in large datasets.

Informations de copyright

Thieme. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no conflict of interest.