Evidence map›Paper›PMID 39310421›Full record

ArticleCureus2024

Administrative Analysis of the Home-Based Older Persons Upstreaming Prevention Physical Therapy Program: A Pilot Observational Study.

Christopher M Wilson, Sara K Arena, Kathryn Calleja, Shane Patterson, Hannah Randazzo

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Christopher M WilsonRehabilitation Services, Beaumont Health, Troy, USA.
Sara K ArenaHuman Movement Science/Physical Therapy, Oakland University, Rochester, USA.
Kathryn CallejaHuman Movement Science/Physical Therapy, Oakland University, Rochester, USA.
Shane PattersonHuman Movement Science/Physical Therapy, Oakland University, Rochester, USA.
Hannah RandazzoHuman Movement Science/Physical Therapy, Oakland University, Rochester, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Traditionally, physical therapist (PT) services do not commence until an injury, fall, or health issue has already occurred although there is increasing evidence that preventative programs administered by PTs may decrease the fall risk among elderly individuals. The purpose of this study was to examine billing, reimbursement, and administrative outcomes of the previously established and investigated prevention-based screening and intervention HOP-UP-PT (Home-based Older Persons Upstreaming Prevention-Physical Therapy) program delivered by a physical therapist in the home of older adults after being referred by a community partner. A randomized controlled trial of the HOP-UP-PT program demonstrated an 8-fold reduction in falls for participants at moderate and high fall risk compared to those who did not participate in the program. Methods A prospective observational study was performed to examine administrative and payment outcomes of HOP-UP-PT participation. Participants were referred into the HOP-UP-PT program via a local community center. Physician authorization for physical therapy participation was obtained for each participant as required for payment under United States' Center for Medicare and Medicaid Services (CMS) guidelines. The HOP-UP-PT program is preventative physical therapy delivered in the person's home with five in person visits (approximately one per month) followed by a monthly telehealth visit and a final in-person visit. Interventions included a balance program, home safety recommendations, health coaching, and addressing individual risks of falling or becoming homebound. A retrospective analysis was performed on the administrative and insurance payment data from this study which was then analyzed descriptively. Results Six participants with four different insurances completed the 7-month program (mean age=77 years) in 2021. The physical therapy visits were submitted to the participants' Medicare Part B plan. One participant's physical therapy visits were not submitted for payment as the health system did not have an active agreement with that health insurer. Due to the unclear status of telehealth visits in 2021, these services were not submitted to the insurance company for payment. All other PT visits were paid by the insurance companies. The mean amount paid for the initial evaluation code was $102.83 and the mean payment for the ~15 minute treatment codes was $25.90 per unit. Initial pilot data demonstrated a potential for a 4.2% positive operating margin when considering salary costs and travel. The mean delay from the initial referral into the HOP-UP-PT program until the physician provided written authorization for physical therapy was 69.7 days. Conclusion This study demonstrated initial evidence that payment for prevention-focused outpatient physical therapist services delivered in the home was feasible, however delays and costs in procuring physician authorization was a substantial barrier to prevention-focused physical therapy. A 4.2% operating margin demonstrated that, when efficiently operated, similar programs are likely to be viable. Furthermore, if telehealth services would have been paid, the operating margin was estimated to increase to 32%. Physical therapists are highly qualified to deliver efficient, effective preventative services which has the potential to reduce falls and institutionalization and subsequent healthcare cost savings.

Indexed as

exercisefall preventiongeriatricsgerontologyhealth coachinghealthy aginghome safetyinjury preventionphysical activityrehabilitation

Identifiers

PMID39310421
PMCPMC11415000

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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.