Tracking Implementation Outcomes of an Intensive Case Management Program for HIV: Protocol for a Mixed Methods Study.

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Research Protocols Pub Date : 2024-11-29 DOI:10.2196/57452
Meron Mengistu, Kris Tom, Liben Gebremikael, Notisha Massaquoi, Obidimma Ezezika
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Abstract

Background: Implementation science investigates the processes and factors that influence the successful adoption, implementation, and sustainability of interventions in many settings. Although conventional research places significant emphasis on the advancement and effectiveness of interventions, it is equally imperative to comprehend their performance in practical, real-life situations. Through outcome tracking, implementation science enables researchers to investigate complex implementation dynamics and go beyond efficacy, identifying the various aspects that contribute to the success of interventions.

Objective: This study aims to evaluate the implementation outcomes of TAIBU's intensive case management (ICM) model tailored for African, Caribbean, and Black communities living with HIV in the Greater Toronto Area. Specifically, it seeks to assess the fidelity, reach, and sustainability of the ICM program. Fidelity monitoring will ensure adherence to program protocols and consistency in service delivery, essential for achieving desired health outcomes. Reach assessment will examine the program's capacity to reach the target population, including demographic coverage and engagement levels among African, Caribbean, and Black individuals. Sustainability assessment will explore the determinants influencing the longevity and impact of the ICM program.

Methods: The study uses a mixed methods approach, where we will use probing questionnaires, interviews, and focus-group discussions to gather program performance and engagement data, in-depth insights, and perspectives from the implementation team responsible for delivering the ICM intervention. The collected fidelity and reach data through questionnaires will be analyzed using appropriate statistical techniques, such as descriptive statistics, to summarize the responses and identify patterns and trends within the data. Sustainability data collected through the interviews and focus groups will be analyzed and organized based on the Consolidated Framework for Implementation Research, which provides an organized way to identify and comprehend the determinants influencing implementation outcomes.

Results: The study commenced in January 2024, and initial data collection is expected to be completed by December 2024. As of September 2024, we have enrolled 5 participants.

Conclusions: This study will significantly contribute to improving the implementation of the ICM program. By conducting a study in an organizational or institutional setting, researchers can acquire valuable insights into the implementation process from those who are directly involved. The information gathered will inform strategies for improving implementation effectiveness; removing impediments; and enhancing the overall quality of the ICM program for African, Caribbean, and Black individuals living with HIV.

International registered report identifier (irrid): DERR1-10.2196/57452.

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跟踪艾滋病毒强化病例管理项目的实施结果:混合方法研究方案。
背景:实施科学研究在许多情况下影响干预措施的成功采用、实施和可持续性的过程和因素。虽然传统的研究非常强调干预措施的先进性和有效性,但同样有必要了解它们在实际生活中的表现。通过结果跟踪,实施科学使研究人员能够调查复杂的实施动态,并超越有效性,确定有助于干预措施成功的各个方面。目的:本研究旨在评估TAIBU针对大多伦多地区非洲、加勒比和黑人社区艾滋病病毒感染者量身定制的密集病例管理(ICM)模式的实施效果。具体来说,它旨在评估ICM项目的保真度、覆盖范围和可持续性。保真监测将确保遵守规划协议和服务提供的一致性,这对实现预期的健康结果至关重要。覆盖评估将检查项目覆盖目标人群的能力,包括人口覆盖范围和非洲、加勒比地区和黑人个人的参与水平。可持续性评估将探讨影响ICM计划寿命和影响的决定因素。方法:本研究采用混合方法,我们将使用探索性问卷调查、访谈和焦点小组讨论来收集项目绩效和参与数据、深入见解以及负责提供ICM干预的实施团队的观点。通过问卷收集的保真度和覆盖面数据将使用适当的统计技术进行分析,例如描述性统计,以总结回答并确定数据中的模式和趋势。通过访谈和焦点小组收集的可持续性数据将根据执行研究综合框架进行分析和组织,该框架提供了一种有组织的方法来确定和理解影响执行结果的决定因素。结果:研究于2024年1月开始,预计于2024年12月完成初步数据收集。截至2024年9月,我们已经招募了5名参与者。结论:本研究将显著有助于改善ICM计划的实施。通过在组织或机构环境中进行研究,研究人员可以从直接参与的人员那里获得对实施过程的宝贵见解。所收集的信息将为改进执行效力的战略提供信息;消除障碍;提高针对非洲、加勒比地区和黑人艾滋病毒感染者的综合管理方案的整体质量。国际注册报告标识符(irrid): DERR1-10.2196/57452。
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CiteScore
2.40
自引率
5.90%
发文量
414
审稿时长
12 weeks
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