ArticleArthroplasty today2023
Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty Patients.
Article in Arthroplasty today, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- The effectiveness of telerehabilitation in upper limb musculoskeletal disorders: a systematic review.BMC musculoskeletal disorders · 2026Pooled it
- Predictors of treatment engagement in a group-based, telehealth smoking cessation program.Preventive medicine reports · 2026Article
- The Carbon Footprint of In-person Versus Virtual Orthopaedic Care.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Racial and other demographic predictors of total joint arthroplasty (TJA) telehealth engagement since the onset of the COVID-19 pandemic remain unclear. The purpose of the current study was to elucidate this relationship. Methods: A retrospective, cross-sectional study on 732 primary TJA patients was conducted within a single hospital system from March 2020-December 2021 (during the pandemic). Patients were excluded if their race or education level could not be determined. Patient demographics (age, sex, body mass index, language) and TJA information were obtained. The number of telehealth visits and telehealth engagement were assessed. Engagement (yes/no) and engagement frequency across all demographics and each measure of telehealth (telemedicine, patient-reported outcome measurements [PROMs], and electronic patient portal [EPP] messaging) were analyzed using multivariate logistic and linear regression, respectively. Results: Our results demonstrated that non-White race was not a significant predictor of binomial engagement or engagement frequency across all telehealth measures. Older age was a negative predictor of binomial engagement and engagement frequency with telemedicine and EPPs. Male sex was shown to be a negative predictor of binomial engagement with EPPs as well as PROM engagement frequency. Educational attainment of less than a college degree was a negative predictor of binomial engagement and engagement frequency with PROMs and EPPs. Conclusions: This study demonstrates that older age, male sex, and lower education level were negative predictors of various measures of telehealth engagement. Non-White race was not a significant predictor. This data informs providers on how to improve access to virtual orthopaedic care.
Indexed as
Identifiers
What OpenQuestion holds
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.