Jacqueline M. Loversidge , Joyce Zurmehly , Gerene S. Bauldoff
{"title":"循证卫生政策图形模型的面效度:e-Delphi研究","authors":"Jacqueline M. Loversidge , Joyce Zurmehly , Gerene S. Bauldoff","doi":"10.1016/j.jnr.2025.03.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The Evidence-Informed Health Policy (EIHP) model, adapted from an evidence-based practice model, combines the best available evidence with other essential elements to inform and leverage the policymaking dialogue. The EIHP model was first described narratively; a graphic model was later designed but has not yet been evaluated.</div></div><div><h3>Purpose</h3><div>To ascertain the face validity of the graphic representation of the EIHP model.</div></div><div><h3>Methods</h3><div>A two-round e-Delphi method survey was emailed to 18 nurse experts in public health policy. The mixed methods survey used a 5-point Likert scale instrument (1, “strongly disagree,” to 5, “strongly agree”) to ask participants their views about the graphic model's structure and function. For any item scored as 3 or lower, the participant was invited to provide additional comments. A final open-ended item requested additional qualitative feedback.</div></div><div><h3>Results</h3><div>In the first round, 18 participants completed the 14-question survey (7 content-related and 7 process-related), which was accompanied by the graphic model and an explanatory narrative. Seven items achieved a mean score ≥4 (consensus ≥80 %) and were not repeated in the second round. Fifteen individuals completed the second-round survey, which comprised 7 items along with a graphic model that was modified according to first-round quantitative and qualitative feedback; a more detailed model narrative was also included. Fifteen participants completed the second-round survey. Final survey responses revealed that of the 14 items, 12 items reached 80 % consensus. The remaining 2 items reached more than 70 % agreement. Open-ended responses items facilitated a deeper understanding of participants’ perceptions of the graphic model.</div></div><div><h3>Conclusion</h3><div>The present study provides evidence of consensus to support face validity of this EIHP graphic model. Face validity furnishes the model with credibility and thus provides users with a level of confidence regarding its soundness as a guide to the policymaking process.</div></div>","PeriodicalId":46153,"journal":{"name":"Journal of Nursing Regulation","volume":"16 1","pages":"Pages 44-52"},"PeriodicalIF":6.3000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Face validity of an evidence-informed health policy graphic model: An e-Delphi study\",\"authors\":\"Jacqueline M. Loversidge , Joyce Zurmehly , Gerene S. Bauldoff\",\"doi\":\"10.1016/j.jnr.2025.03.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>The Evidence-Informed Health Policy (EIHP) model, adapted from an evidence-based practice model, combines the best available evidence with other essential elements to inform and leverage the policymaking dialogue. The EIHP model was first described narratively; a graphic model was later designed but has not yet been evaluated.</div></div><div><h3>Purpose</h3><div>To ascertain the face validity of the graphic representation of the EIHP model.</div></div><div><h3>Methods</h3><div>A two-round e-Delphi method survey was emailed to 18 nurse experts in public health policy. The mixed methods survey used a 5-point Likert scale instrument (1, “strongly disagree,” to 5, “strongly agree”) to ask participants their views about the graphic model's structure and function. For any item scored as 3 or lower, the participant was invited to provide additional comments. A final open-ended item requested additional qualitative feedback.</div></div><div><h3>Results</h3><div>In the first round, 18 participants completed the 14-question survey (7 content-related and 7 process-related), which was accompanied by the graphic model and an explanatory narrative. Seven items achieved a mean score ≥4 (consensus ≥80 %) and were not repeated in the second round. Fifteen individuals completed the second-round survey, which comprised 7 items along with a graphic model that was modified according to first-round quantitative and qualitative feedback; a more detailed model narrative was also included. Fifteen participants completed the second-round survey. Final survey responses revealed that of the 14 items, 12 items reached 80 % consensus. The remaining 2 items reached more than 70 % agreement. Open-ended responses items facilitated a deeper understanding of participants’ perceptions of the graphic model.</div></div><div><h3>Conclusion</h3><div>The present study provides evidence of consensus to support face validity of this EIHP graphic model. Face validity furnishes the model with credibility and thus provides users with a level of confidence regarding its soundness as a guide to the policymaking process.</div></div>\",\"PeriodicalId\":46153,\"journal\":{\"name\":\"Journal of Nursing Regulation\",\"volume\":\"16 1\",\"pages\":\"Pages 44-52\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Nursing Regulation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2155825625000560\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nursing Regulation","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2155825625000560","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
Face validity of an evidence-informed health policy graphic model: An e-Delphi study
Background
The Evidence-Informed Health Policy (EIHP) model, adapted from an evidence-based practice model, combines the best available evidence with other essential elements to inform and leverage the policymaking dialogue. The EIHP model was first described narratively; a graphic model was later designed but has not yet been evaluated.
Purpose
To ascertain the face validity of the graphic representation of the EIHP model.
Methods
A two-round e-Delphi method survey was emailed to 18 nurse experts in public health policy. The mixed methods survey used a 5-point Likert scale instrument (1, “strongly disagree,” to 5, “strongly agree”) to ask participants their views about the graphic model's structure and function. For any item scored as 3 or lower, the participant was invited to provide additional comments. A final open-ended item requested additional qualitative feedback.
Results
In the first round, 18 participants completed the 14-question survey (7 content-related and 7 process-related), which was accompanied by the graphic model and an explanatory narrative. Seven items achieved a mean score ≥4 (consensus ≥80 %) and were not repeated in the second round. Fifteen individuals completed the second-round survey, which comprised 7 items along with a graphic model that was modified according to first-round quantitative and qualitative feedback; a more detailed model narrative was also included. Fifteen participants completed the second-round survey. Final survey responses revealed that of the 14 items, 12 items reached 80 % consensus. The remaining 2 items reached more than 70 % agreement. Open-ended responses items facilitated a deeper understanding of participants’ perceptions of the graphic model.
Conclusion
The present study provides evidence of consensus to support face validity of this EIHP graphic model. Face validity furnishes the model with credibility and thus provides users with a level of confidence regarding its soundness as a guide to the policymaking process.
期刊介绍:
Journal of Nursing Regulation (JNR), the official journal of the National Council of State Boards of Nursing (NCSBN®), is a quarterly, peer-reviewed, academic and professional journal. It publishes scholarly articles that advance the science of nursing regulation, promote the mission and vision of NCSBN, and enhance communication and collaboration among nurse regulators, educators, practitioners, and the scientific community. The journal supports evidence-based regulation, addresses issues related to patient safety, and highlights current nursing regulatory issues, programs, and projects in both the United States and the international community. In publishing JNR, NCSBN''s goal is to develop and share knowledge related to nursing and other healthcare regulation across continents and to promote a greater awareness of regulatory issues among all nurses.