{"title":"为卫生部门共享和连接 HIV 和 STI 监测数据制定评估措施","authors":"Shannon Hitchcock, Leigh Evans, Jane Fox","doi":"10.1016/j.evalprogplan.2024.102435","DOIUrl":null,"url":null,"abstract":"<div><p>Enhancing data sharing, quality, and use across siloed HIV and STI programs is critical for national and global initiatives to reduce new HIV infections and improve the health of people with HIV. As part of the <em>Enhancing Linkage of STI and HIV Surveillance Data in the Ryan White HIV/AIDS Program</em> initiative, four health departments (HDs) in the U.S. received technical assistance to better share and link their HIV and STI surveillance data. The process used to develop evaluation measures assessing implementation and outcomes of linking HIV and STI data systems involved six steps: 1) measure selection and development, 2) review and refinement, 3) testing, 4) implementation and data collection, 5) data quality review and feedback, and 6) dissemination. Findings from pilot testing warranted slight adaptations, including starting with a core set of measures and progressively scaling up. Early findings showed improvements in data quality over time. Lessons learned included identifying and engaging key stakeholders early; developing resources to assist HDs; and considering measure development as iterative processes requiring periodic review and reassessment to ensure continued utility. These findings can guide programs and evaluations, especially those linking data across multiple systems, in developing measures to track implementation and outcomes over time.</p></div>","PeriodicalId":48046,"journal":{"name":"Evaluation and Program Planning","volume":"105 ","pages":"Article 102435"},"PeriodicalIF":1.5000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing evaluation measures for health departments sharing and linking HIV and STI surveillance data\",\"authors\":\"Shannon Hitchcock, Leigh Evans, Jane Fox\",\"doi\":\"10.1016/j.evalprogplan.2024.102435\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Enhancing data sharing, quality, and use across siloed HIV and STI programs is critical for national and global initiatives to reduce new HIV infections and improve the health of people with HIV. As part of the <em>Enhancing Linkage of STI and HIV Surveillance Data in the Ryan White HIV/AIDS Program</em> initiative, four health departments (HDs) in the U.S. received technical assistance to better share and link their HIV and STI surveillance data. The process used to develop evaluation measures assessing implementation and outcomes of linking HIV and STI data systems involved six steps: 1) measure selection and development, 2) review and refinement, 3) testing, 4) implementation and data collection, 5) data quality review and feedback, and 6) dissemination. Findings from pilot testing warranted slight adaptations, including starting with a core set of measures and progressively scaling up. Early findings showed improvements in data quality over time. Lessons learned included identifying and engaging key stakeholders early; developing resources to assist HDs; and considering measure development as iterative processes requiring periodic review and reassessment to ensure continued utility. These findings can guide programs and evaluations, especially those linking data across multiple systems, in developing measures to track implementation and outcomes over time.</p></div>\",\"PeriodicalId\":48046,\"journal\":{\"name\":\"Evaluation and Program Planning\",\"volume\":\"105 \",\"pages\":\"Article 102435\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Evaluation and Program Planning\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0149718924000375\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Evaluation and Program Planning","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0149718924000375","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
加强各自为政的 HIV 和 STI 项目之间的数据共享、质量和使用,对于减少 HIV 新发感染和改善 HIV 感染者健康状况的国家和全球行动至关重要。作为瑞安-怀特(Ryan White)艾滋病毒/艾滋病项目中 "加强性传播感染与艾滋病毒监测数据的联系"(Enhancing Linkage of STI and HIV Surveillance Data in the Ryan White HIV/AIDS Program initiative)的一部分,美国的四个卫生部门(HDs)接受了技术援助,以更好地共享和联系其艾滋病毒和性传播感染监测数据。制定评估措施以评估 HIV 和 STI 数据系统连接的实施情况和结果的过程包括六个步骤:1)措施选择和开发;2)审查和完善;3)测试;4)实施和数据收集;5)数据质量审查和反馈;6)传播。试点测试的结果证明有必要略作调整,包括从一套核心措施开始,逐步扩大规模。早期结果显示,随着时间的推移,数据质量有所提高。吸取的经验教训包括:及早确定关键利益相关者并让其参与进来;开发资源以协助人类发展部;以及将衡量标准的制定视为需要定期审查和重新评估的迭代过程,以确保其持续有用性。这些发现可以指导计划和评估工作,特别是那些将多个系统的数据联系起来的计划和评估工作,以制定措施来跟踪一段时间内的实施情况和成果。
Developing evaluation measures for health departments sharing and linking HIV and STI surveillance data
Enhancing data sharing, quality, and use across siloed HIV and STI programs is critical for national and global initiatives to reduce new HIV infections and improve the health of people with HIV. As part of the Enhancing Linkage of STI and HIV Surveillance Data in the Ryan White HIV/AIDS Program initiative, four health departments (HDs) in the U.S. received technical assistance to better share and link their HIV and STI surveillance data. The process used to develop evaluation measures assessing implementation and outcomes of linking HIV and STI data systems involved six steps: 1) measure selection and development, 2) review and refinement, 3) testing, 4) implementation and data collection, 5) data quality review and feedback, and 6) dissemination. Findings from pilot testing warranted slight adaptations, including starting with a core set of measures and progressively scaling up. Early findings showed improvements in data quality over time. Lessons learned included identifying and engaging key stakeholders early; developing resources to assist HDs; and considering measure development as iterative processes requiring periodic review and reassessment to ensure continued utility. These findings can guide programs and evaluations, especially those linking data across multiple systems, in developing measures to track implementation and outcomes over time.
期刊介绍:
Evaluation and Program Planning is based on the principle that the techniques and methods of evaluation and planning transcend the boundaries of specific fields and that relevant contributions to these areas come from people representing many different positions, intellectual traditions, and interests. In order to further the development of evaluation and planning, we publish articles from the private and public sectors in a wide range of areas: organizational development and behavior, training, planning, human resource development, health and mental, social services, mental retardation, corrections, substance abuse, and education.