Evidence map›Paper›PMID 34048440›Full record

ArticlePloS one2021

Prevalence and predictors of no-shows to physical therapy for musculoskeletal conditions.

Nrupen A Bhavsar, Shannon M Doerfler, Anna Giczewska, Brooke Alhanti, Adam Lutz, Charles A Thigpen, Steven Z George

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  8. What patient-specific factors can potentially affect physiotherapy attendance of patients with knee OA at a local hospital in Singapore?Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2025
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  15. Optimal Duration of Physical Therapy Following Total Knee Arthroplasty.Geriatric orthopaedic surgery & rehabilitation · 2024
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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 2 institutions in 1 country.

Nrupen A BhavsarDivision of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, NC, United Stated of America.ORCID 0000-0002-9937-5560
Shannon M DoerflerDuke Clinical Research Institute, Duke University, Durham, NC, United Stated of America.
Anna GiczewskaDuke Clinical Research Institute, Duke University, Durham, NC, United Stated of America.ORCID 0000-0003-0533-2453
Brooke AlhantiDuke Clinical Research Institute, Duke University, Durham, NC, United Stated of America.
Adam LutzATI Physical Therapy, Greenville, SC, United Stated of America.
Charles A ThigpenATI Physical Therapy, Greenville, SC, United Stated of America.
Steven Z GeorgeDuke Clinical Research Institute, Duke University, Durham, NC, United Stated of America.
Duke University · USUniversity of South Carolina · US

Funding

Pain Management Collaboratory Coordinating Center (PMC3)U24AT009769 · NCCIH · YALE UNIVERSITY · PI WILLIAM C BECKER, Alicia Heapy · 2017 to 2026
$16.4M
Improving Veteran Access To Integrated Management of Chronic Back PainUG3AT009790 · NCCIH · DUKE UNIVERSITY · PI GEORGE, STEVEN Z, HASTINGS, SUSAN NICOLE · 2017 to 2019
$1.9M
Addressing Bias from Missing Data in EHR Based Studies of CVDK01HL140146 · NHLBI · DUKE UNIVERSITY · PI BHAVSAR, NRUPEN · 2018 to 2022
$829k
NCCIH NIH HHS U24 AT009769NCCIH NIH HHS UG3 AT009790NHLBI NIH HHS K01 HL140146
6 · The paper itself

Abstract

objectivesChronic pain affects 50 million Americans and is often treated with non-pharmacologic approaches like physical therapy. Developing a no-show prediction model for individuals seeking physical therapy care for musculoskeletal conditions has several benefits including enhancement of workforce efficiency without growing the existing provider pool, delivering guideline adherent care, and identifying those that may benefit from telehealth. The objective of this paper was to quantify the national prevalence of no-shows for patients seeking physical therapy care and to identify individual and organizational factors predicting whether a patient will be a no-show when seeking physical therapy care.

designRetrospective cohort study.

settingCommercial provider of physical therapy within the United States with 828 clinics across 26 states.

participantsAdolescent and adult patients (age cutoffs: 14-117 years) seeking non-pharmacological treatment for musculoskeletal conditions from January 1, 2016, to December 31, 2017 (n = 542,685). Exclusion criteria were a primary complaint not considered an MSK condition or improbable values for height, weight, or body mass index values. The study included 444,995 individuals. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence of no-shows for musculoskeletal conditions and predictors of patient no-show.

resultsIn our population, 73% missed at least 1 appointment for a given physical therapy care episode. Our model had moderate discrimination for no-shows (c-statistic:0.72, all appointments; 0.73, first 7 appointments) and was well calibrated, with predicted and observed no-shows in good agreement. Variables predicting higher no-show rates included insurance type; smoking-status; higher BMI; and more prior cancellations, time between visit and scheduling date, and between current and previous visit.

conclusionsThe high prevalence of no-shows when seeking care for musculoskeletal conditions from physical therapists highlights an inefficiency that, unaddressed, could limit delivery of guideline-adherent care that advocates for earlier use of non-pharmacological treatments for musculoskeletal conditions and result in missed opportunities for using telehealth to deliver physical therapy.

Indexed as

AdolescentAdultAgedAged, 80 and overAppointments and SchedulesBody Mass IndexChronic PainFemaleHumansMaleMiddle AgedMusculoskeletal PainNo-Show PatientsPatient Acceptance of Health CarePhysical Therapy ModalitiesPrevalence

Identifiers

PMID34048440
PMCPMC8162651
OpenAlexW3164477027

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.