Heidelberg Institute of Global Health, Medical Faculty and University Hospital, University of Heidelberg, Heidelberg, Germany.
Swiss Tropical and Public Health Institute (Swiss TPH), Basel, Switzerland.
J Med Internet Res. 2023 Jan 6;25:e38818. doi: 10.2196/38818.
BACKGROUND: Digital interventions for health financing, if implemented at scale, have the potential to improve health system performance by reducing transaction costs and improving data-driven decision-making. However, many interventions never reach sustainability, and evidence on success factors for scale is scarce. The Insurance Management Information System (IMIS) is a digital intervention for health financing, designed to manage an insurance scheme and already implemented on a national scale in Tanzania. A previous study found that the IMIS claim function was poorly adopted by health care workers (HCWs), questioning its potential to enable strategic purchasing and succeed at scale. OBJECTIVE: This study aimed to understand why the adoption of the IMIS claim function by HCWs remained low in Tanzania and to assess implications for use at scale. METHODS: We conducted 21 semistructured interviews with HCWs and management staff in 4 districts where IMIS was first implemented. We sampled respondents by using a maximum variation strategy. We used the framework method for data analysis, applying a combination of inductive and deductive coding to organize codes in a socioecological model. Finally, we related emerging themes to a framework for digital health interventions for scale. RESULTS: Respondents appreciated IMIS's intrinsic software characteristics and technical factors and acknowledged IMIS as a valuable tool to simplify claim management. Human factors, extrinsic ecosystem, and health care ecosystem were considered as barriers to widespread adoption. CONCLUSIONS: Digital interventions for health financing, such as IMIS, may have the potential for scale if careful consideration is given to the environment in which they are placed. Without a sustainable health financing environment, sufficient infrastructure, and human capacity, they cannot unfold their full potential to improve health financing functions and ultimately contribute to universal health coverage.
背景:如果数字干预措施在卫生筹资中得到大规模实施,通过降低交易成本和改善数据驱动的决策制定,有可能改善卫生系统绩效。然而,许多干预措施从未实现可持续性,而且关于规模成功因素的证据很少。保险管理信息系统(IMIS)是一种数字干预措施,用于管理保险计划,已经在坦桑尼亚全国范围内实施。先前的一项研究发现,卫生保健工作者(HCWs)对 IMIS 的索赔功能采用情况不佳,这对其实现战略采购和大规模成功的潜力提出了质疑。
目的:本研究旨在了解为什么坦桑尼亚的 HCWs 对 IMIS 的索赔功能采用率仍然很低,并评估其在大规模使用的影响。
方法:我们在 IMIS 首次实施的 4 个地区对 HCWs 和管理人员进行了 21 次半结构化访谈。我们采用最大变异策略对受访者进行抽样。我们使用框架方法进行数据分析,采用归纳和演绎编码相结合的方法,将代码组织到社会生态模型中。最后,我们将出现的主题与数字健康干预措施规模框架联系起来。
结果:受访者赞赏 IMIS 的内在软件特性和技术因素,并认为 IMIS 是简化索赔管理的有价值工具。人为因素、外在生态系统和医疗保健生态系统被认为是广泛采用的障碍。
结论:如果仔细考虑数字干预措施所处的环境,例如 IMIS 等卫生筹资数字干预措施可能具有扩大规模的潜力。如果没有可持续的卫生筹资环境、足够的基础设施和人力,它们就无法充分发挥潜力来改善卫生筹资职能,并最终为全民健康覆盖做出贡献。
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