Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty Patients
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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Arthroplasty Today |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352344123000961 |
| _version_ | 1797653988936515584 |
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| author | Michael Lotito, BA Matthew Jamison, MD Cole Howell, PT, DPT Adriana Liimakka, BS Jeffrey Lange, MD Antonia F. Chen, MD, MBA |
| author_facet | Michael Lotito, BA Matthew Jamison, MD Cole Howell, PT, DPT Adriana Liimakka, BS Jeffrey Lange, MD Antonia F. Chen, MD, MBA |
| author_sort | Michael Lotito, BA |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T16:52:51Z |
| format | Article |
| id | doaj.art-e863cced9b0e4445a9ffe77434366469 |
| institution | Directory Open Access Journal |
| issn | 2352-3441 |
| language | English |
| last_indexed | 2024-03-11T16:52:51Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Arthroplasty Today |
| spelling | doaj.art-e863cced9b0e4445a9ffe774343664692023-10-21T04:22:45ZengElsevierArthroplasty Today2352-34412023-10-0123101191Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty PatientsMichael Lotito, BA0Matthew Jamison, MD1Cole Howell, PT, DPT2Adriana Liimakka, BS3Jeffrey Lange, MD4Antonia F. Chen, MD, MBA5Rutgers Robert Wood Johnson Medical School, Piscataway, NJ, USA; Corresponding author. Rutgers Robert Wood Johnson Medical School, Piscataway, NJ, USA.Department of Orthopedics, Brigham & Women’s Hospital, Boston, MA, USAAlbany Medical College, Albany, NY, USAHarvard Medical School, Boston, MA, USADepartment of Orthopedics, Brigham & Women’s Hospital, Boston, MA, USADepartment of Orthopedics, Brigham & Women’s Hospital, Boston, MA, USABackground: 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.http://www.sciencedirect.com/science/article/pii/S2352344123000961Hip arthroplastyKnee arthroplastyTelemedicineAgeSexEducation level |
| spellingShingle | Michael Lotito, BA Matthew Jamison, MD Cole Howell, PT, DPT Adriana Liimakka, BS Jeffrey Lange, MD Antonia F. Chen, MD, MBA Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty Patients Arthroplasty Today Hip arthroplasty Knee arthroplasty Telemedicine Age Sex Education level |
| title | Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty Patients |
| title_full | Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty Patients |
| title_fullStr | Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty Patients |
| title_full_unstemmed | Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty Patients |
| title_short | Age, Sex, and Education Level Predict Telehealth Engagement in Total Joint Arthroplasty Patients |
| title_sort | age sex and education level predict telehealth engagement in total joint arthroplasty patients |
| topic | Hip arthroplasty Knee arthroplasty Telemedicine Age Sex Education level |
| url | http://www.sciencedirect.com/science/article/pii/S2352344123000961 |
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