Phillip M. Stevens MEd , Dwiesha L. England MS , Amy E. Todd MS , Stephen A. Mandacina CP , Shane R. Wurdeman PhD
{"title":"活动和参与、双手功能和义肢满意度是上肢义肢使用者总体幸福感的强预测因子","authors":"Phillip M. Stevens MEd , Dwiesha L. England MS , Amy E. Todd MS , Stephen A. Mandacina CP , Shane R. Wurdeman PhD","doi":"10.1016/j.arrct.2023.100264","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>To determine the role of multiple factors on general well-being for upper limb prosthesis users.</p></div><div><h3>Design</h3><p>Retrospective cross-sectional observational design.</p></div><div><h3>Setting</h3><p>Prosthetic clinics across the United States.</p></div><div><h3>Participants</h3><p>At the time of analysis, the database consisted of 250 patients with unilateral upper limb amputation seen between July 2016 and July 2021.</p></div><div><h3>Intervention</h3><p>Not applicable.</p></div><div><h3>Main Outcomes Measures</h3><p>Dependent variable: well-being (Prosthesis Evaluation Questionnaire- Well-Being). Independent variables included in analysis: activity and participation (Patient Reported Outcomes Measurement Information System [PROMIS] Ability to Participate in Social Roles and Activities), bimanual function (PROMIS-9 UE), prosthesis satisfaction (Trinity Amputation and Prosthesis Experience Scales-Revised; TAPES-R), PROMIS pain interference, age, gender, average daily hours worn, time since amputation, and amputation level.</p></div><div><h3>Results</h3><p>A multivariate linear regression model using a forward enter method was applied. The model included 1 dependent variable (well-being) and 9 independent variables. Within the multiple linear regression model, the strongest predictors of well-being were activity and participation (β=0.303, <em>P</em><.0001), followed by prosthesis satisfaction (β=0.257, <em>P</em><.0001), pain interference (β=-0.187, <em>P</em>=.001), and bimanual function (β=0.182, <em>P</em>=.004). Age (β=-0.036, <em>P</em>=.458), gender (β=-0.051, <em>P</em>=.295), time since amputation (β=0.031, <em>P</em>=.530), amputation level (β=0.042, <em>P</em>=.385), and hours worn (β=-0.025, <em>P</em>=.632) were not significant predictors of well-being.</p></div><div><h3>Conclusion</h3><p>Reducing pain interference and improving clinical factors such as prosthesis satisfaction and bimanual function with their associated effects on activity and participation will positively affect the well-being of individuals living with upper limb amputation/congenital deficiency.</p></div>","PeriodicalId":72291,"journal":{"name":"Archives of rehabilitation research and clinical translation","volume":"5 2","pages":"Article 100264"},"PeriodicalIF":1.9000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d0/c8/main.PMC10258372.pdf","citationCount":"0","resultStr":"{\"title\":\"Activity and Participation, Bimanual Function, and Prosthesis Satisfaction are Strong Predictors of General Well-Being Among Upper Limb Prosthesis Users\",\"authors\":\"Phillip M. Stevens MEd , Dwiesha L. England MS , Amy E. Todd MS , Stephen A. Mandacina CP , Shane R. Wurdeman PhD\",\"doi\":\"10.1016/j.arrct.2023.100264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>To determine the role of multiple factors on general well-being for upper limb prosthesis users.</p></div><div><h3>Design</h3><p>Retrospective cross-sectional observational design.</p></div><div><h3>Setting</h3><p>Prosthetic clinics across the United States.</p></div><div><h3>Participants</h3><p>At the time of analysis, the database consisted of 250 patients with unilateral upper limb amputation seen between July 2016 and July 2021.</p></div><div><h3>Intervention</h3><p>Not applicable.</p></div><div><h3>Main Outcomes Measures</h3><p>Dependent variable: well-being (Prosthesis Evaluation Questionnaire- Well-Being). Independent variables included in analysis: activity and participation (Patient Reported Outcomes Measurement Information System [PROMIS] Ability to Participate in Social Roles and Activities), bimanual function (PROMIS-9 UE), prosthesis satisfaction (Trinity Amputation and Prosthesis Experience Scales-Revised; TAPES-R), PROMIS pain interference, age, gender, average daily hours worn, time since amputation, and amputation level.</p></div><div><h3>Results</h3><p>A multivariate linear regression model using a forward enter method was applied. The model included 1 dependent variable (well-being) and 9 independent variables. Within the multiple linear regression model, the strongest predictors of well-being were activity and participation (β=0.303, <em>P</em><.0001), followed by prosthesis satisfaction (β=0.257, <em>P</em><.0001), pain interference (β=-0.187, <em>P</em>=.001), and bimanual function (β=0.182, <em>P</em>=.004). Age (β=-0.036, <em>P</em>=.458), gender (β=-0.051, <em>P</em>=.295), time since amputation (β=0.031, <em>P</em>=.530), amputation level (β=0.042, <em>P</em>=.385), and hours worn (β=-0.025, <em>P</em>=.632) were not significant predictors of well-being.</p></div><div><h3>Conclusion</h3><p>Reducing pain interference and improving clinical factors such as prosthesis satisfaction and bimanual function with their associated effects on activity and participation will positively affect the well-being of individuals living with upper limb amputation/congenital deficiency.</p></div>\",\"PeriodicalId\":72291,\"journal\":{\"name\":\"Archives of rehabilitation research and clinical translation\",\"volume\":\"5 2\",\"pages\":\"Article 100264\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/d0/c8/main.PMC10258372.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Archives of rehabilitation research and clinical translation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590109523000162\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"REHABILITATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Archives of rehabilitation research and clinical translation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590109523000162","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"REHABILITATION","Score":null,"Total":0}
Activity and Participation, Bimanual Function, and Prosthesis Satisfaction are Strong Predictors of General Well-Being Among Upper Limb Prosthesis Users
Objective
To determine the role of multiple factors on general well-being for upper limb prosthesis users.
At the time of analysis, the database consisted of 250 patients with unilateral upper limb amputation seen between July 2016 and July 2021.
Intervention
Not applicable.
Main Outcomes Measures
Dependent variable: well-being (Prosthesis Evaluation Questionnaire- Well-Being). Independent variables included in analysis: activity and participation (Patient Reported Outcomes Measurement Information System [PROMIS] Ability to Participate in Social Roles and Activities), bimanual function (PROMIS-9 UE), prosthesis satisfaction (Trinity Amputation and Prosthesis Experience Scales-Revised; TAPES-R), PROMIS pain interference, age, gender, average daily hours worn, time since amputation, and amputation level.
Results
A multivariate linear regression model using a forward enter method was applied. The model included 1 dependent variable (well-being) and 9 independent variables. Within the multiple linear regression model, the strongest predictors of well-being were activity and participation (β=0.303, P<.0001), followed by prosthesis satisfaction (β=0.257, P<.0001), pain interference (β=-0.187, P=.001), and bimanual function (β=0.182, P=.004). Age (β=-0.036, P=.458), gender (β=-0.051, P=.295), time since amputation (β=0.031, P=.530), amputation level (β=0.042, P=.385), and hours worn (β=-0.025, P=.632) were not significant predictors of well-being.
Conclusion
Reducing pain interference and improving clinical factors such as prosthesis satisfaction and bimanual function with their associated effects on activity and participation will positively affect the well-being of individuals living with upper limb amputation/congenital deficiency.