Stephanie Tierney, Lucy Moore, Debra Westlake, Kamal Mahtani, David Nunan, Kerryn Husk, Shoba Dawson, Jane Smith, Emma Fuller, Lilly Sabir, Pauline Roberts, Obioha Ukoumunne
{"title":"Factors associated with link workers considering leaving their role: a cross-sectional survey.","authors":"Stephanie Tierney, Lucy Moore, Debra Westlake, Kamal Mahtani, David Nunan, Kerryn Husk, Shoba Dawson, Jane Smith, Emma Fuller, Lilly Sabir, Pauline Roberts, Obioha Ukoumunne","doi":"10.3399/BJGPO.2024.0128","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Social prescribing (SP) link workers (LWs) listen to patients' concerns and difficulties, and connect them to relevant community assets (groups, organisations, or charities) that can help with their non-medical issues (for example, loneliness, debt, housing). LW retention is key to sustaining SP within primary care.</p><p><strong>Aim: </strong>To examine occupational self-efficacy, job discrepancy, and other factors as potential predictors of LWs' intentions to leave or remain in their posts.</p><p><strong>Design & setting: </strong>Cross-sectional survey involving LWs from the United Kingdom.</p><p><strong>Method: </strong>An online questionnaire was distributed via SP-related organisations. Questions were on the following: (a) intention to leave the role; (b) demographics; and (c) role experience, including occupational self-efficacy and discrepancy between expectations and reality of the job. Questions were mainly closed, although some allowed LWs to provide a written response. Logistic regression models were fitted to identify predictors, and content analysis used to categorise open-ended responses.</p><p><strong>Results: </strong>In total, 342 questionnaire responses were included in the analysis. Higher job discrepancy was associated with past (odds ratio [OR] per 30 unit <i>increase</i> = 6.86; 95% confidence interval [CI] = 3.91 to 12.0; <i>P</i><0.001) and future (OR = 4.86; 95% CI = 2.70 to 8.72; <i>P</i><0.001) intentions to leave, while lower occupational self-efficacy was associated only with past intentions to leave (OR per 10 unit <i>decrease</i> = 1.91; 95% CI = 1.24 to 2.93; <i>P</i> = 0.003).</p><p><strong>Conclusion: </strong>Findings highlight factors influencing LW retention, offering a foundation for targeted interventions, which could include clearer communication about the role during recruitment, and adjusting job descriptions and support when required.</p>","PeriodicalId":36541,"journal":{"name":"BJGP Open","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BJGP Open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3399/BJGPO.2024.0128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PRIMARY HEALTH CARE","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Social prescribing (SP) link workers (LWs) listen to patients' concerns and difficulties, and connect them to relevant community assets (groups, organisations, or charities) that can help with their non-medical issues (for example, loneliness, debt, housing). LW retention is key to sustaining SP within primary care.
Aim: To examine occupational self-efficacy, job discrepancy, and other factors as potential predictors of LWs' intentions to leave or remain in their posts.
Design & setting: Cross-sectional survey involving LWs from the United Kingdom.
Method: An online questionnaire was distributed via SP-related organisations. Questions were on the following: (a) intention to leave the role; (b) demographics; and (c) role experience, including occupational self-efficacy and discrepancy between expectations and reality of the job. Questions were mainly closed, although some allowed LWs to provide a written response. Logistic regression models were fitted to identify predictors, and content analysis used to categorise open-ended responses.
Results: In total, 342 questionnaire responses were included in the analysis. Higher job discrepancy was associated with past (odds ratio [OR] per 30 unit increase = 6.86; 95% confidence interval [CI] = 3.91 to 12.0; P<0.001) and future (OR = 4.86; 95% CI = 2.70 to 8.72; P<0.001) intentions to leave, while lower occupational self-efficacy was associated only with past intentions to leave (OR per 10 unit decrease = 1.91; 95% CI = 1.24 to 2.93; P = 0.003).
Conclusion: Findings highlight factors influencing LW retention, offering a foundation for targeted interventions, which could include clearer communication about the role during recruitment, and adjusting job descriptions and support when required.