Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, QC, Canada.
Département de gestion, d'évaluation, et de politique de santé, École de santé publique de l'Université de Montréal, Montréal, QC, Canada.
JMIR Mhealth Uhealth. 2020 Sep 21;8(9):e20356. doi: 10.2196/20356.
In resource-poor settings, lack of awareness and low demand for services constitute important barriers to expanding the coverage of effective interventions. In India, childhood immunization is a priority health strategy with suboptimal uptake.
To assess study feasibility and key implementation outcomes for the Tika Vaani model, a new approach to educate and empower beneficiaries to improve immunization and child health.
A cluster-randomized pilot trial with a 1:1 allocation ratio was conducted in rural Uttar Pradesh, India, from January to September 2018. Villages were randomly assigned to either the intervention or control group. In each participating village, surveyors conducted a complete enumeration to identify eligible households and requested participation before randomization. Interventions were designed through formative research using a social marketing approach and delivered over 3 months using strategies adapted to disadvantaged populations: (1) mobile health (mHealth): entertaining educational audio capsules (edutainment) and voice immunization reminders via mobile phone and (2) face-to-face: community mobilization activities, including 3 small group meetings offered to each participant. The control group received usual services. The main outcomes were prespecified criteria for feasibility of the main study (recruitment, randomization, retention, contamination, and adoption). Secondary endpoints tested equity of coverage and changes in intermediate outcomes. Statistical methods included descriptive statistics to assess feasibility, penalized logistic regression and ordered logistic regression to assess coverage, and generalized estimating equation models to assess changes in intermediate outcomes.
All villages consented to participate. Gaps in administrative data hampered recruitment; 14.0% (79/565) of recorded households were nonresident. Only 1.4% (8/565) of households did not consent. A total of 387 households (184 intervention and 203 control) with children aged 0 to 12 months in 26 villages (13 intervention and 13 control) were included and randomized. The end line survey occurred during the flood season; 17.6% (68/387) of the households were absent. Contamination was less than 1%. Participation in one or more interventions was 94.0% (173/184), 78.3% (144/184) for the face-to-face strategy, and 67.4% (124/184) for the mHealth strategy. Determinants including place of residence, mobile phone access, education, and female empowerment shaped intervention use; factors operated differently for face-to-face and mHealth strategies. For 11 of 13 intermediate outcomes, regression results showed significantly higher basic health knowledge among the intervention group, supporting hypothesized causal mechanisms.
A future trial of a new intervention model is feasible. The interventions could strengthen the delivery of immunization and universal primary health care. Social and behavior change communication via mobile phones proved viable and contributed to standardization and scalability. Face-to-face interactions remain necessary to achieve equity and reach, suggesting the need for ongoing health system strengthening to accompany the introduction of communication technologies.
International Standard Randomized Controlled Trial Number (ISRCTN) 44840759; https://doi.org/10.1186/ISRCTN44840759.
在资源匮乏的环境中,对服务的认识不足和需求低是扩大有效干预措施覆盖范围的重要障碍。在印度,儿童免疫接种是一项重点卫生战略,但接种率不理想。
评估 Tika Vaani 模型的研究可行性和关键实施结果,该模型是一种通过教育和赋权受益人的新方法,以改善免疫接种和儿童健康。
2018 年 1 月至 9 月,在印度北方邦农村地区进行了一项 1:1 分配比的集群随机试验。村庄被随机分配到干预组或对照组。在每个参与的村庄,调查员通过使用社会营销方法的形成性研究进行了全面的人口普查,以确定合格家庭,并在随机分组前请求参与。干预措施是通过使用适应弱势群体的策略设计的:(1)移动健康(mHealth):通过手机提供娱乐性教育音频胶囊(edutainment)和语音免疫提醒;(2)面对面:社区动员活动,包括为每个参与者提供的 3 次小组会议。对照组接受常规服务。主要结局是主要研究可行性的预定标准(招募、随机化、保留、污染和采用)。次要终点测试了覆盖范围的公平性和中间结果的变化。统计方法包括描述性统计来评估可行性,惩罚逻辑回归和有序逻辑回归来评估覆盖范围,以及广义估计方程模型来评估中间结果的变化。
所有村庄都同意参与。行政数据的差距阻碍了招募;记录的家庭中有 14.0%(79/565)是非居民。只有 1.4%(8/565)的家庭不同意。共有 26 个村庄(13 个干预组和 13 个对照组)的 387 户(184 户干预组和 203 户对照组)家庭有 0 至 12 个月大的儿童,其中 17.6%(68/387)的家庭不在。污染小于 1%。参与一项或多项干预措施的比例为 94.0%(173/184),面对面策略为 78.3%(144/184),mHealth 策略为 67.4%(124/184)。包括居住地、移动电话接入、教育和女性赋权在内的决定因素塑造了干预措施的使用;面对面和 mHealth 策略的因素运作方式不同。对于 13 个中间结果中的 11 个,回归结果表明干预组的基本健康知识明显更高,支持了假设的因果机制。
新干预模式的未来试验是可行的。这些干预措施可以加强免疫接种和普及初级卫生保健的提供。通过手机进行的社会和行为改变沟通是可行的,并有助于标准化和可扩展性。面对面的互动仍然是必要的,以实现公平和覆盖范围,这表明需要持续加强卫生系统,以配合通信技术的引入。
国际标准随机对照试验编号(ISRCTN)44840759;https://doi.org/10.1186/ISRCTN44840759。