Evidence map›Paper›PMID 36271503›Full record

ArticleHealth services research2023

Effects of an electronic health record-based mobility assessment and automated referral for inpatient physical therapy on patient outcomes: A quasi-experimental study.

Aileen Chou, Joshua K Johnson, Daniel B Jones, Tracey Euloth, Beth A Matcho, Andrew Bilderback, Janet K Freburger

Open access · hybridAbstract read
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Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Aileen ChouDepartment of Physical Therapy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-3414-573X
Joshua K JohnsonDepartment of Physical Medicine and Rehabilitation, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Daniel B JonesGraduate School of Public and International Affairs, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Tracey EulothUPMC Rehabilitation Services, Pittsburgh, Pennsylvania, USA.
Beth A MatchoUPMC Rehabilitation Services, Pittsburgh, Pennsylvania, USA.
Andrew BilderbackWolff Center, UPMC, Pittsburgh, Pennsylvania, USA.
Janet K FreburgerDepartment of Physical Therapy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
University of Pittsburgh · USUPMC Health System · USCleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effectiveness of a hospital physical therapy (PT) referral triggered by scores on a mobility assessment embedded in the electronic health record (EHR) and completed by nursing staff on hospital admission. DATA SOURCES: EHR and billing data from 12 acute care hospitals in a western Pennsylvania health system (January 2017-February 2018) and 11 acute care hospitals in a northeastern Ohio health system (August 2019-July 2021). STUDY

designWe utilized a regression discontinuity design to compare patients admitted to PA hospitals with stroke who reached the mobility score threshold for an EHR-PT referral (treatment) to those who did not (control). Outcomes were hospital length of stay (LOS) and 30-day readmission or mortality. Control variables included demographics, insurance, income, and comorbidities. Hospital systems with EHR-PT referrals were also compared to those without (OH hospitals as alternative control). Subgroup analyses based on age were also conducted. DATA EXTRACTION: We identified adult patients with a primary or secondary diagnosis of stroke and mobility assessments completed by nursing (n = 4859 in PA hospitals, n = 1749 in OH hospitals) who completed their inpatient stay. PRINCIPAL

findingsIn the PA hospitals, patients with EHR-PT referrals had an 11.4 percentage-point decrease in their 30-day readmission or mortality rates (95% CI -0.57, -0.01) relative to the control. This effect was not observed in the OH hospitals for 30-day readmission (β = 0.01; 95% CI -0.25, 0.26). Adults over 60 years old with EHR-PT referrals in PA had a 26.2 percentage-point (95% CI -0.88, -0.19) decreased risk of readmission or mortality compared to those without. Unclear relationships exist between EHR-PT referrals and hospital LOS in PA.

conclusionsHealth systems should consider methodologies to facilitate early acute care hospital PT referrals informed by mobility assessments.

Indexed as

Electronic Health RecordsStrokeAdultHumansInpatientsLength of StayMiddle AgedPatient ReadmissionPhysical Therapy ModalitiesReferral and Consultationaging/elderly/geriatricsfunctional status measurementhealth care organizations and systemsobservational data/quasi-experimentsrehabilitation services

Identifiers

PMID36271503
PMCPMC9843085
OpenAlexW4307092688

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.