Digital Training for Lay Health Care Workers' Knowledge and Skills in HIV Index Case Testing: Cluster Randomized Trial.

IF 13.9 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Tapiwa A Tembo, Nora E Rosenberg, Katie Mollan, Maria Kim, Sarah E Rutstein, Angella M Mkandawire, Mike J Chitani, Caroline Kumbuyo, Duncan Phiri, Mtisunge Mphande, Elijah Kavuta, Samuel Chilala, Jiayu Wang, Saeed Ahmed, Katherine Simon, Linda-Gail Bekker
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引用次数: 0

Abstract

Background: Task shifting in low-resource settings requires lay health care workers (HCWs) to provide a variety of health services, such as HIV index case testing, whereby sexual partners and family members of people living with HIV are offered HIV testing. For this, lay HCWs require adequate specialized training. Digital technologies hold promise for training lay HCWs in low-resource settings, but their impacts on improving knowledge, attitudes, and skills are not understood.

Objective: This study evaluates the impact of digital training on lay HCWs' knowledge, attitudes, and skills to provide HIV index case testing.

Methods: We recruited lay HCWs from 34 health facilities in Malawi. We conducted a 2-arm cluster randomized controlled trial from 2022 to 2023, evaluating the impact of a digital training approach. Health facilities (clusters) were randomized 1:2 to the enhanced or standard arms. Lay HCWs in both arms received the standard in-person index case testing training. In addition, lay HCWs in the enhanced arm received tablet-guided training. Knowledge acquisition was measured using multiple-choice questionnaires administered before and after training. Attitudinal gains were assessed through a questionnaire with Likert scale responses before and after training. Between-arm mean differences were evaluated using generalized estimating equations. Skills (fidelity to index and contact testing protocols) were measured using 15-item checklists. Fidelity scores were compared between the enhanced and standard arms by estimating mean differences and 95% CIs using generalized estimating equations.

Results: We enrolled 306 lay HCWs, with 125 (40.8%) in the enhanced arm and 181 (59.2%) in the standard arm. In the enhanced arm, there was 100% completion of the digital portion, 98% (123/125) completion of the face-to-face tablet-guided portion, and 81% (101/125) to 93% (116/125) completion of quality improvement sessions. Knowledge improved by 4.4% (95% CI 0.7%-8.2%) more in the enhanced arm than in the standard arm (P=.02). Attitudes toward digital training improved by 4.5% (95% CI 0.3%-7.0%) more in the enhanced arm than in the standard arm (P=.03). Lay HCWs' fidelity to index client counseling protocols was 30.5 (95% CI 26.0%-35.0%; P<.001) percentage points higher in the enhanced arm than in the standard arm. Fidelity to contact client counseling protocols was 24.0 (95% CI 20.6%-27.3%; P<.001) percentage points higher in the enhanced arm than in the standard arm.

Conclusions: Digital training improved lay HCWs' knowledge, attitudes, and skills surrounding index case testing counseling. These findings support digital training as a useful strategy for strengthening the capacity of lay HCWs in low-resource contexts.

非专业医护人员艾滋病指数病例检测知识技能数字化培训:聚类随机试验
背景:在资源匮乏的环境中,任务转移需要非专业卫生保健工作者(HCWs)提供各种卫生服务,例如艾滋病毒指数病例检测,从而为艾滋病毒感染者的性伴侣和家庭成员提供艾滋病毒检测。为此,非专业医护人员需要充分的专业培训。数字技术有望在资源匮乏的环境中培训非专业医护人员,但它们对提高知识、态度和技能的影响尚不清楚。目的:评价数字化培训对基层医护人员提供HIV指标病例检测的知识、态度和技能的影响。方法:我们从马拉维的34个卫生机构招募非专业卫生保健员。我们从2022年到2023年进行了一项双组随机对照试验,评估了数字培训方法的影响。卫生设施(集群)按1:2随机分配到强化组或标准组。双臂的非专业医护人员接受了标准的现场病例检测培训。此外,增强臂的普通医护人员接受了平板电脑指导的培训。在培训前后使用多项选择问卷来测量知识获取。在训练前后,通过李克特量表问卷来评估态度增益。用广义估计方程评估臂间均值差。技能(对索引和接触测试协议的保真度)使用15项清单进行测量。使用广义估计方程估计平均差异和95% ci,比较增强组和标准组的保真度评分。结果:我们招募了306名非患者HCWs,其中增强组125名(40.8%),标准组181名(59.2%)。在增强组中,数字部分完成100%,面对面平板引导部分完成98%(123/125),质量改进环节完成81%(101/125)至93%(116/125)。与标准组相比,强化组知识提高了4.4% (95% CI 0.7 -8.2%) (P= 0.02)。与标准组相比,强化组对数字训练的态度改善了4.5% (95% CI 0.3%-7.0%) (P= 0.03)。非专业医护人员对指标客户咨询方案的忠实度为30.5 (95% CI 26.0% ~ 35.0%);结论:数字化培训提高了非专业医护人员对指标案例测试咨询的知识、态度和技能。这些研究结果支持数字化培训是加强资源匮乏地区非专业卫生保健工作者能力的一项有用战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Medical Education
JMIR Medical Education Social Sciences-Education
CiteScore
6.90
自引率
5.60%
发文量
54
审稿时长
8 weeks
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