ArticleJMIR formative research2022
A Web-Based Communication Tool for Postoperative Follow-up and Pain Assessment at Home After Primary Knee Arthroplasty: Feasibility and Usability Study.
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 NCT02604446 (Depot-opioids for Pre- and Postoperative Pain Relief After Primary Knee Arthroplasty. A Double Blinded Randomized Controlled Study. Tapentadol vs Oxycodone vs Placebo), which is not on this map. Cited by 5 papers.
What it found
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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.
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.
Depot-opioids for Pre- and Postoperative Pain Relief After Primary Knee Arthroplasty. A Double Blinded Randomized Controlled Study. Tapentadol vs Oxycodone vs Placebo
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- First-time use of electronic patient-reported outcome measures in a cluster randomized trial: a qualitative study.Journal of patient-reported outcomes · 2025Trial
- Patients' Usability Experience With a Postoperative Follow-Up Web Application.Journal of patient experience · 2026Article
- Use of Digital and Telemedicine Tools for Postoperative Pain Management at Home: A Scoping Review of Health Professionals' Roles and Clinical Outcomes.Journal of clinical medicine · 2025Review
- Platform-Based Patient-Clinician Digital Health Interventions for Care Transitions: Scoping Review.Journal of medical Internet research · 2024Article
- A Digital Health Intervention Platform (Active and Independent Management System) to Enhance the Rehabilitation Experience for Orthopedic Joint Replacement Patients: Usability Evaluation Study.JMIR human factors · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe report the use of an electronic tool, Eir (Eir Solutions AS, Norway), for symptom registration at home after knee arthroplasty. This electronic tool was used in a randomized controlled trial (RCT) comparing 3 different analgesic regimens with respect to postoperative pain and side effects.
objectiveThe aim of this substudy was to investigate this electronic tool for symptom registrations at home with respect to usability (ie, how easy it was to use) and feasibility (ie, how well the tool served its purpose).
methodsTo assess the tool's usability, all participants were invited to fill out the 10-item System Usability Scale (SUS) after using the tool for 8 days. To assess feasibility, data regarding the participants' ability to use the tool with or without assistance or reminders were collected qualitatively on a daily basis during the study period.
resultsA total of 134 patients completed the RCT. Data concerning feasibility of the web-based tool were collected from all 134 patients. The SUS was completed by 119 of the 134 patients; 70.2% (94/134) of the patients managed to use the tool at home without any technical support. All technical challenges were related to the login procedure or internet access. The mean SUS score was 89.6 (median 92.5; range 22.5-100).
conclusionsThis study showed high feasibility and high usability of the Eir web tool. The received reports gave the necessary information needed for both research data and clinical follow-up.
trial registrationClinicalTrials.gov NCT02604446; https://www.clinicaltrials.gov/ct2/show/NCT02604446.
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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.