Arianna P. Milicia, Jessica L. Handley, Christian L. Boxley, Deanna-Nicole Busog, Seth Krevat, Nate Apathy, Daniel Marchalik, Raj M. Ratwani, Ella S. Franklin
{"title":"Are They Aligned? An Analysis of Social Media-Based Nurse Well-Being Concerns and Well-Being Programs","authors":"Arianna P. Milicia, Jessica L. Handley, Christian L. Boxley, Deanna-Nicole Busog, Seth Krevat, Nate Apathy, Daniel Marchalik, Raj M. Ratwani, Ella S. Franklin","doi":"10.33940/001c.88305","DOIUrl":null,"url":null,"abstract":"Nurse burnout and distress pose patient safety risks due to impaired nurse attention, increased likelihood of medical error, and increased nurse turnover leading to a reduction in the number of nurses available to deliver care. Some healthcare facilities have launched well-being programs in response to increasing rates of burnout. Many of these programs are based on survey data which may be incomplete, resulting in programs that are not as comprehensive as they should be. We sought to identify nurse concerns related to burnout and well-being through analysis of social media data. We aligned these concerns with well-being program leader perceptions of factors contributing to burnout and well-being program initiatives. We conducted a qualitative study composed of two parts: social media analysis and semistructured interviews with well-being leaders. The social media analysis focused on 120 nurse comments on Reddit that were retrieved based on a keyword search using the terms “burnout,” “stress,” and “wellbeing.” The interviews were conducted with nine well-being leaders from seven different healthcare systems. Well-being program leaders were asked about factors contributing to burnout and lack of well-being, initiatives to address these factors, and metrics used to evaluate their programs. The social media comments and interview data were reviewed by two experts to identify topics, themes, and subthemes grounded in wellness models. Of the 120 social media comments analyzed, the most frequent topic was Lack of Meaningful Recognition, Compensation, and Influence (n=46 of 120, 38.3%), followed by Work Environment (n=43, 35.8%) and Uninformed or Misinformed Public (n=31, 25.8%). Several themes emerged and the most prevalent was Constrained Professional Agency with the most prevalent subtheme of health system or macrosystem policies or regulations that limit nurses’ ability to respond effectively to patient care needs. Of the seven healthcare systems interviewed, the most common topics that emerged from asking about the factors contributing to the lack of nurse well-being were the Work Environment (n=6 of 7, 85.7%), followed by Lack of Meaningful Recognition, Compensation, and Influence (n=4, 57.1%), and Inadequate or Inaccessible Well-Being Resources (n=3, 42.9%). Several novel initiatives were identified, and most healthcare systems relied on surveys as their key metric. The social media analysis revealed nurse concerns that may not be identified as factors contributing to lack of well-being by well-being program leaders. There is an opportunity to optimize our understanding of nurse concerns around well-being through social media, and an opportunity to better align nurse concerns with the focus of well-being programs.","PeriodicalId":509285,"journal":{"name":"PATIENT SAFETY","volume":"64 19","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PATIENT SAFETY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33940/001c.88305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Nurse burnout and distress pose patient safety risks due to impaired nurse attention, increased likelihood of medical error, and increased nurse turnover leading to a reduction in the number of nurses available to deliver care. Some healthcare facilities have launched well-being programs in response to increasing rates of burnout. Many of these programs are based on survey data which may be incomplete, resulting in programs that are not as comprehensive as they should be. We sought to identify nurse concerns related to burnout and well-being through analysis of social media data. We aligned these concerns with well-being program leader perceptions of factors contributing to burnout and well-being program initiatives. We conducted a qualitative study composed of two parts: social media analysis and semistructured interviews with well-being leaders. The social media analysis focused on 120 nurse comments on Reddit that were retrieved based on a keyword search using the terms “burnout,” “stress,” and “wellbeing.” The interviews were conducted with nine well-being leaders from seven different healthcare systems. Well-being program leaders were asked about factors contributing to burnout and lack of well-being, initiatives to address these factors, and metrics used to evaluate their programs. The social media comments and interview data were reviewed by two experts to identify topics, themes, and subthemes grounded in wellness models. Of the 120 social media comments analyzed, the most frequent topic was Lack of Meaningful Recognition, Compensation, and Influence (n=46 of 120, 38.3%), followed by Work Environment (n=43, 35.8%) and Uninformed or Misinformed Public (n=31, 25.8%). Several themes emerged and the most prevalent was Constrained Professional Agency with the most prevalent subtheme of health system or macrosystem policies or regulations that limit nurses’ ability to respond effectively to patient care needs. Of the seven healthcare systems interviewed, the most common topics that emerged from asking about the factors contributing to the lack of nurse well-being were the Work Environment (n=6 of 7, 85.7%), followed by Lack of Meaningful Recognition, Compensation, and Influence (n=4, 57.1%), and Inadequate or Inaccessible Well-Being Resources (n=3, 42.9%). Several novel initiatives were identified, and most healthcare systems relied on surveys as their key metric. The social media analysis revealed nurse concerns that may not be identified as factors contributing to lack of well-being by well-being program leaders. There is an opportunity to optimize our understanding of nurse concerns around well-being through social media, and an opportunity to better align nurse concerns with the focus of well-being programs.