Evidence map›Paper›PMID 35507387›Full record

ArticleJMIR formative research2022

Digital Mental Health Intervention Plus Usual Care Compared With Usual Care Only and Usual Care Plus In-Person Psychological Counseling for Orthopedic Patients With Symptoms of Depression or Anxiety: Cohort Study.

Ashwin J Leo, Matthew J Schuelke, Devyani M Hunt, J Philip Miller, Patricia A Areán, Abby L Cheng

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07167056 (Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.0field-weighted citation impact, top 4% 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.

NCT07167056 narecruitingnot on this mapstarted 2025, after this paper: background citation

Artificial Intelligence-Powered Support For Quality Of Life Improvement In Patients With Cancer

TypeinterventionalSponsorCase Comprehensive Cancer CenterRan2025 to 2027Enrolled60ConditionsCancerArmsStandard of Care Psychotherapy, WYSA App
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  3. Artificial Intelligence in and Beyond Healthcare Psychology.Journal of clinical psychology in medical settings · 2025
    Review
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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

6 authors at 2 institutions in 1 country.

Ashwin J LeoWashington University in St Louis School of Medicine, St Louis, MO, United States.ORCID https://orcid.org/0000-0003-2050-4401
Matthew J SchuelkeDivision of Biostatistics, Washington University in St Louis School of Medicine, St Louis, MO, United States.ORCID https://orcid.org/0000-0001-5755-1725
Devyani M HuntDivision of Physical Medicine and Rehabilitation, Department of Orthopaedic Surgery, Washington University in St Louis School of Medicine, St Louis, MO, United States.ORCID https://orcid.org/0000-0003-1247-3801
J Philip MillerDivision of Biostatistics, Washington University in St Louis School of Medicine, St Louis, MO, United States.ORCID https://orcid.org/0000-0003-4568-6846
Patricia A AreánDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0001-5971-6319
Abby L ChengDivision of Physical Medicine and Rehabilitation, Department of Orthopaedic Surgery, Washington University in St Louis School of Medicine, St Louis, MO, United States.ORCID https://orcid.org/0000-0002-8166-0806
Washington University in St. Louis · USUniversity of Washington · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Predicting patient-reported outcomes in patients with pre-arthritic hip disordersK23AR074520 · NIAMS · WASHINGTON UNIVERSITY · PI CHENG, ABBY LING-LEE · 2019 to 2023
$881k
NCATS NIH HHS UL1 TR000448NCI NIH HHS P30 CA091842NIAMS NIH HHS K23 AR074520
6 · The paper itself

Abstract

backgroundDepression and anxiety frequently coexist with chronic musculoskeletal pain and can negatively impact patients' responses to standard orthopedic treatments. Nevertheless, mental health is not routinely addressed in the orthopedic care setting. If effective, a digital mental health intervention may be a feasible and scalable method of addressing mental health in an orthopedic setting.

objectiveWe aimed to compare 2-month changes in mental and physical health between orthopedic patients who received a digital mental health intervention in addition to usual orthopedic care, those who received usual orthopedic care only (without a specific mental health intervention), and those who received in-person care with a psychologist as part of their orthopedic treatment plan.

methodsIn this single-center retrospective cohort study involving ancillary analysis of a pilot feasibility study, 2-month self-reported health changes were compared between a cohort of orthopedic patients who received access to a digital mental health intervention (Wysa) and 2 convenience sample comparison cohorts (patients who received usual orthopedic care without a specific mental health intervention and patients who received in-person care with a psychologist as part of their orthopedic treatment plan). All patients were 18 years or older and reported elevated symptoms of depression or anxiety at an orthopedic clinic visit (Patient-Reported Outcomes Measurement Information System [PROMIS] Depression or Anxiety score ≥55). The digital intervention was a multi-component mobile app that used chatbot technology and text-based access to human counselors to provide cognitive behavioral therapy, mindfulness training, and sleep tools, among other features, with an emphasis on behavioral activation and pain acceptance. Outcomes of interest were between-cohort differences in the 2-month longitudinal changes in PROMIS Depression and Anxiety scores (primary outcomes) and PROMIS Pain Interference and Physical Function scores (secondary outcomes).

resultsAmong 153 patients (mean age 55, SD 15 years; 128 [83.7%] female; 51 patients per cohort), patients who received the digital mental health intervention showed clinically meaningful improvements at the 2-month follow-up for all PROMIS measures (mean longitudinal improvement 2.8-3.7 points; P≤.02). After controlling for age and BMI, the improvements in PROMIS Depression, Pain Interference, and Physical Function were meaningfully greater than longitudinal changes shown by patients who received usual orthopedic care (mean between-group difference 2.6-4.8 points; P≤.04). Improvements in PROMIS Physical Function were also meaningfully greater than longitudinal changes shown by patients who received in-person psychological counseling (mean between-group difference 2.4 points; P=.04).

conclusionsPatients who received a digital mental health intervention as part of orthopedic care reported greater 2-month mean improvements in depression, pain interference, and physical function than patients who received usual orthopedic care. They also reported a greater mean improvement in physical function and comparable improvements in depression, anxiety, and pain interference compared with orthopedic patients who received in-person psychological counseling.

Indexed as

anxietychronic paindepressiondigital healthmental healthmusculoskeletalorthopedic

Identifiers

PMID35507387
PMCPMC9118017
OpenAlexW4226502953

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.