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This paper is in the following e-collection/theme issue:

Design and Usability of Clinical Software and EHRs (387) mHealth for Data Collection and Research (1296) mHealth in a Clinical Setting (809) Design and Formative Evaluation of Mobile Apps (845) mHealth for Rehabilitation (409) Patient-Reported Outcome Measures (PROMs) (397) Postoperative Monitoring and Telemonitoring (216)

Published on in Vol 12 (2025)

This is a member publication of Open University (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65271, first published .
Doctor in white coat helps patient in wheelchair put on slipper

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Assessing Postoperative Pain in Patients Who Underwent Total Knee Arthroplasty Using an Automated Self-Logging Patient-Reported Outcome Measure Collection Device: Retrospective Cohort Study

Authors of this article:

Prabjit Ajrawat1 Author Orcid Image ;   Blaine Price2 Author Orcid Image ;   Daniel Gooch2 Author Orcid Image ;   Rudolf Serban3 Author Orcid Image ;   Ruqaiya Al-Habsi4 Author Orcid Image ;   Oliver Pearce3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Rotevatn E, Paz E, Løkeland L, Engan M, Guribye F, Rygh L. Using a tangible device and mobile application for pain and recovery monitoring after knee arthroplasty: a mixed-methods analysis of feasibility and user experience. BMC Digital Health 2026;4(1) View
  2. Gooch D, Price L, Kelly R, Serban R, Aydemir C, Alhalabi O, Leek T, Ramachandran M, Pearce O, Price B. Deploying PainPad for Patient Pain Logging in the Hospital: A Six-year Deployment. ACM Transactions on Computer-Human Interaction 2026 View