Evidence map›Paper›PMID 37803365›Full record

Observational studyBMC musculoskeletal disorders2023

Mobile health supported multi-domain recovery trajectories after major arthroplasty or spine surgery: a pilot feasibility and usability study.

Bhiken I Naik, Marcel E Durieux, Rebecca Dillingham, Ava Lena Waldman, Margaret Holstege, Zunaira Arbab, Siny Tsang, Quanjun Cui, Xudong Joshua Li, Anuj Singla and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC musculoskeletal disorders, 2023. 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, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

12 authors at 3 institutions in 1 country.

Bhiken I NaikDepartment of Anesthesiology and Neurological Surgery, University of Virginia, Charlottesville, VA, USA. bin4n@uvahealth.org.
Marcel E DurieuxDepartment of Anesthesiology, University of Virginia, Charlottesville, VA, USA.
Rebecca DillinghamDivision of Infectious Diseases, Martha Jefferson Hospital, Charlottesville, VA, USA.
Ava Lena WaldmanDepartment of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, VA, USA.
Margaret HolstegeDepartment of Anesthesiology, University of Virginia, Charlottesville, VA, USA.
Zunaira ArbabDepartment of Anesthesiology, University of Virginia, Charlottesville, VA, USA.
Siny TsangDepartment of Anesthesiology, University of Virginia, Charlottesville, VA, USA.
Quanjun CuiDepartment of Orthopedics, University of Virginia, Charlottesville, VA, USA.
Xudong Joshua LiDepartment of Orthopedics, University of Virginia, Charlottesville, VA, USA.
Anuj SinglaDepartment of Orthopedics, University of Virginia, Charlottesville, VA, USA.
Chun-Po YenDepartment of Neurological Surgery, University of Virginia, Charlottesville, VA, USA.
Lauren K DunnDepartment of Anesthesiology and Neurological Surgery, University of Virginia, Charlottesville, VA, USA.
University of Virginia · USMartha Jefferson Hospital · USNeurological Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecovery after surgery intersects physical, psychological, and social domains. In this study we aim to assess the feasibility and usability of a mobile health application called PositiveTrends to track recovery in these domains amongst participants undergoing hip, knee arthroplasty or spine surgery. Our secondary aim was to generate procedure-specific, recovery trajectories within the pain and medication, psycho-social and patient-reported outcomes domain.

methodsProspective, observational study in participants greater than eighteen years of age. Data was collected prior to and up to one hundred and eighty days after completion of surgery within the three domains using PositiveTrends. Feasibility was assessed using participant response rates from the PositiveTrends app. Usability was assessed quantitatively using the System Usability Scale. Heat maps and effect plots were used to visualize multi-domain recovery trajectories. Generalized linear mixed effects models were used to estimate the change in the outcomes over time.

resultsForty-two participants were enrolled over a four-month recruitment period. Proportion of app responses was highest for participants who underwent spine surgery (median = 78, range = 36-100), followed by those who underwent knee arthroplasty (median = 72, range = 12-100), and hip arthroplasty (median = 62, range = 12-98). System Usability Scale mean score was 82 ± 16 at 180 days postoperatively. Function improved by 8 and 6.4 points per month after hip and knee arthroplasty, respectively. In spine participants, the Oswestry Disability Index decreased by 1.4 points per month. Mood improved in all three cohorts, however stress levels remained elevated in spine participants. Pain decreased by 0.16 (95% Confidence Interval: 0.13-0.20, p < 0.001), 0.25 (95% CI: 0.21-0.28, p < 0.001) and 0.14 (95% CI: 0.12-0.15, p < 0.001) points per month in hip, knee, and spine cohorts respectively. There was a 10.9-to-40.3-fold increase in the probability of using no medication for each month postoperatively.

conclusionsIn this study, we demonstrate the feasibility and usability of PositiveTrends, which can map and track multi-domain recovery trajectories after major arthroplasty or spine surgery.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeFeasibility StudiesHumansPainProspective StudiesFunctional outcomesPainPsychosocialRecovery trajectories

Identifiers

PMID37803365
PMCPMC10557197
OpenAlexW4387406315

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.