Logan R Butler, Shaian Lashani, Cody Mitchell, Jin H Ra, Caprice Greenberg, Lawrence B Marks, Thomas Ivester, Lukasz Mazur
{"title":"外科部门患者安全文化调查结果的纵向分析。","authors":"Logan R Butler, Shaian Lashani, Cody Mitchell, Jin H Ra, Caprice Greenberg, Lawrence B Marks, Thomas Ivester, Lukasz Mazur","doi":"10.3389/frhs.2024.1419248","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There is a need for improved methodologies on how to longitudinally analyze, interpret and learn from the Surveys on Patient Safety Culture™ (SOPS), developed by the Agency for Healthcare Research and Quality (AHRQ). Typically, SOPS quantify results by the percentage of positive responses, but this approach may miss insights from neutral or negative feedback.</p><p><strong>Study design: </strong>The SOPS were distributed every two years from 2011 to 2022 to all hospital staff at one academic institution from perioperative services. Differences between rates of \"positive\" and \"negative\" scores (\"Delta\"), and \"neutral\" responses over time were calculated. The coefficient of determination (<i>R</i> <sup>2</sup>) was used to assess the correlation strength of the positive scores as the primary outcomes provided by the SOPS and Delta values over time. Finally, we evaluated patterns (crossing and converging [indicating \"worrisome\" patterns] vs. diverging [suggesting \"desirable\" pattern] vs. stable [suggesting \"neutral\" pattern]) of the longitudinal scores.</p><p><strong>Results: </strong>A total of 1,035 responses were analyzed [51 and 40 survey items for SOPS v1 and v2 (2022 only), respectively]. Comparing the <i>R</i> <sup>2</sup> values of the positive only scores to the Delta scores demonstrated a change in effect size for \"Nonpunitive Response to Error\" (<i>R</i> <sup>2</sup> = 0.290 vs. 0.420). Of the 13 specific categories measured through SOPS, plotting negative vs. positive values elucidated 2 crossing, 2 converging and 2 diverging patterns indicating both a decrease in positive responses and an increase in negative responses rather than neutral.</p><p><strong>Conclusion: </strong>Longitudinal analysis of the SOPS using the directional measures, Delta and pattern trends can provide organizations with additional key insights regarding culture of patient safety.</p>","PeriodicalId":73088,"journal":{"name":"Frontiers in health services","volume":"4 ","pages":"1419248"},"PeriodicalIF":1.6000,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540820/pdf/","citationCount":"0","resultStr":"{\"title\":\"Longitudinal analysis of culture of patient safety survey results in surgical departments.\",\"authors\":\"Logan R Butler, Shaian Lashani, Cody Mitchell, Jin H Ra, Caprice Greenberg, Lawrence B Marks, Thomas Ivester, Lukasz Mazur\",\"doi\":\"10.3389/frhs.2024.1419248\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>There is a need for improved methodologies on how to longitudinally analyze, interpret and learn from the Surveys on Patient Safety Culture™ (SOPS), developed by the Agency for Healthcare Research and Quality (AHRQ). Typically, SOPS quantify results by the percentage of positive responses, but this approach may miss insights from neutral or negative feedback.</p><p><strong>Study design: </strong>The SOPS were distributed every two years from 2011 to 2022 to all hospital staff at one academic institution from perioperative services. Differences between rates of \\\"positive\\\" and \\\"negative\\\" scores (\\\"Delta\\\"), and \\\"neutral\\\" responses over time were calculated. The coefficient of determination (<i>R</i> <sup>2</sup>) was used to assess the correlation strength of the positive scores as the primary outcomes provided by the SOPS and Delta values over time. Finally, we evaluated patterns (crossing and converging [indicating \\\"worrisome\\\" patterns] vs. diverging [suggesting \\\"desirable\\\" pattern] vs. stable [suggesting \\\"neutral\\\" pattern]) of the longitudinal scores.</p><p><strong>Results: </strong>A total of 1,035 responses were analyzed [51 and 40 survey items for SOPS v1 and v2 (2022 only), respectively]. Comparing the <i>R</i> <sup>2</sup> values of the positive only scores to the Delta scores demonstrated a change in effect size for \\\"Nonpunitive Response to Error\\\" (<i>R</i> <sup>2</sup> = 0.290 vs. 0.420). Of the 13 specific categories measured through SOPS, plotting negative vs. positive values elucidated 2 crossing, 2 converging and 2 diverging patterns indicating both a decrease in positive responses and an increase in negative responses rather than neutral.</p><p><strong>Conclusion: </strong>Longitudinal analysis of the SOPS using the directional measures, Delta and pattern trends can provide organizations with additional key insights regarding culture of patient safety.</p>\",\"PeriodicalId\":73088,\"journal\":{\"name\":\"Frontiers in health services\",\"volume\":\"4 \",\"pages\":\"1419248\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540820/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in health services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/frhs.2024.1419248\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in health services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frhs.2024.1419248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Longitudinal analysis of culture of patient safety survey results in surgical departments.
Background: There is a need for improved methodologies on how to longitudinally analyze, interpret and learn from the Surveys on Patient Safety Culture™ (SOPS), developed by the Agency for Healthcare Research and Quality (AHRQ). Typically, SOPS quantify results by the percentage of positive responses, but this approach may miss insights from neutral or negative feedback.
Study design: The SOPS were distributed every two years from 2011 to 2022 to all hospital staff at one academic institution from perioperative services. Differences between rates of "positive" and "negative" scores ("Delta"), and "neutral" responses over time were calculated. The coefficient of determination (R2) was used to assess the correlation strength of the positive scores as the primary outcomes provided by the SOPS and Delta values over time. Finally, we evaluated patterns (crossing and converging [indicating "worrisome" patterns] vs. diverging [suggesting "desirable" pattern] vs. stable [suggesting "neutral" pattern]) of the longitudinal scores.
Results: A total of 1,035 responses were analyzed [51 and 40 survey items for SOPS v1 and v2 (2022 only), respectively]. Comparing the R2 values of the positive only scores to the Delta scores demonstrated a change in effect size for "Nonpunitive Response to Error" (R2 = 0.290 vs. 0.420). Of the 13 specific categories measured through SOPS, plotting negative vs. positive values elucidated 2 crossing, 2 converging and 2 diverging patterns indicating both a decrease in positive responses and an increase in negative responses rather than neutral.
Conclusion: Longitudinal analysis of the SOPS using the directional measures, Delta and pattern trends can provide organizations with additional key insights regarding culture of patient safety.