Evidence map›Paper›PMID 37713201›Full record

Trial reportJAMA network open2023

Combined Digital Interventions for Pain Reduction in Patients Undergoing Knee Replacement: A Randomized Clinical Trial.

Vicky Duong, Sarah R Robbins, Simone Dennis, Venkatesha Venkatesha, Manuela L Ferreira, David J Hunter

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 pooled it
6.7field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 5 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  6. Trial
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  8. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Vicky DuongSydney Musculoskeletal Health, Kolling Institute, the University of Sydney, Sydney, New South Wales, Australia.
Sarah R RobbinsSydney Musculoskeletal Health, Kolling Institute, the University of Sydney, Sydney, New South Wales, Australia.
Simone DennisSydney Musculoskeletal Health, Kolling Institute, the University of Sydney, Sydney, New South Wales, Australia.
Venkatesha VenkateshaNorthern Sydney Local Health District, Royal North Shore Hospital, Sydney, New South Wales, Australia.
Manuela L FerreiraSchool of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
David J HunterRheumatology Department, Royal North Shore Hospital, Sydney, New South Wales, Australia.
The University of Sydney · AURoyal North Shore Hospital · AUInstitute for Musculoskeletal Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Digital technology represents an opportunity to improve outcomes following total knee replacement (TKR). Digitally delivered interventions have been shown to be similar to face-to-face interventions and to increase participation levels in people with osteoarthritis. Objective: To assess the effect of a digital technology package in reducing pain compared with usual care following TKR. Design, Setting, and Participants: This randomized clinical trial recruited 102 adults after they received TKR in 3 rehabilitation hospitals in Sydney, Australia, between June 2020 and July 2021. Interventions: All participants underwent usual care. In addition to usual care, 51 participants received a digital technology package consisting of an exercise app, fitness tracker, and online health coaching. In the usual care group, 51 participants received a fitness tracker but with all notifications turned off and goals for step count, sleep, and active hours removed. Participants were followed up for 12 months (June 2021 to July 2022). Main Outcome and Measures: The primary outcome was mean knee pain during the past week assessed using a numerical rating scale (range, 0-10, with 10 indicating worst possible pain) at 3 months. In unadjusted analyses, considered primary and based on multiple imputations, independent t tests were used to compare means between groups. Secondary outcomes, including measures of function, activity participation, and quality of life, were analyzed using a generalized estimating equation model that accounted for repeated measurements. Results: Of 102 participants (mean [SD] age, 67.9 [7.2] years; 68 [67%] female; and 92 [90%] White) randomly assigned to intervention or usual care groups, 47 (92%) in each group completed the 3-month follow up. At 3 months, participants in the intervention group demonstrated small but not clinically meaningful improvements in pain compared with the usual care group in the unadjusted intention-to-treat analysis (mean difference, -0.84; 95% CI, -1.59 to -0.10; P = .03). Secondary outcomes indicated a statistically significant reduction in pain intensity, (mean difference, -0.94; 95% CI, -1.82 to -0.06), pain disability (mean difference, -5.42; 95% CI, -10.00 to -0.83), and sedentary behavior (mean difference, -9.76; 95% CI, -19.17 to -0.34) favoring the intervention from baseline to 3, 6, and 12 months. Conclusions and Relevance: In this randomized clinical trial, a combined digital technology program provided small but not clinically meaningful improvements in pain at 3 months and other longer-term favorable outcomes following TKR compared with usual care. Future studies should tailor digital interventions based on participants' abilities and preferences to ensure that the intervention is appropriate and fosters long-term self-management. Trial Registration: Anzctr.org.au Identifier: ACTRN12618001448235.

Indexed as

Arthroplasty, Replacement, KneeAdultAgedAustraliaFemaleHumansMalePainPatientsQuality of Life

Identifiers

PMID37713201
PMCPMC10504613
OpenAlexW4386757665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.