旨在减少计划生育访视期间偏见的多成分干预措施:布基纳法索、巴基斯坦和坦桑尼亚实施情况的定性分析。

IF 2.2 Q2 OBSTETRICS & GYNECOLOGY
Corrina Moucheraud, Alexandra Wollum, Muhammad Ali Awan, William H Dow, Willa Friedman, Jean-Louis Koulidiati, Amon Sabasaba, Manisha Shah, Zachary Wagner
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引用次数: 0

摘要

超越偏见 "是布基纳法索、巴基斯坦和坦桑尼亚推出的一项干预措施,旨在减少医疗工作者对寻求计划生育服务的年轻、未婚和未生育女性的偏见。本研究采用定性方法--基于对参与干预的医疗工作者、参与干预的医疗机构管理人员以及国家层面的政策和项目利益相关者的访谈--来了解干预措施的实施经验。研究结果为寻求实施 "超越偏见 "或类似项目的组织或国家提供了启示,并指出了在资源较少的环境中实施多成分干预措施所面临的其他一些关键挑战。采用以人为本的设计方法开发的干预措施被认为是成功实施的关键,但也存在后勤方面的挑战。数字干预对许多人来说具有干扰性,会分散他们的注意力。此外,非经济奖励干预被认为很复杂,一些参与者表示,当他们没有得到奖励时会感到气馁。Beyond Bias 没有充分考虑到 "外部环境",这被认为是一个主要的实施障碍,因为它限制了个人充分实现预期行为改变的能力;例如,空间限制意味着一些医疗机构无法确保为所有客户提供私人服务。与成本有关的可扩展性问题,以及(国家内部和国家之间)环境的多样性是否会限制 "超越偏见 "的大规模实施,这些都是不确定因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-component intervention to reduce bias during family planning visits: qualitative insights on implementation from Burkina Faso, Pakistan and Tanzania.

Beyond Bias was an intervention introduced in Burkina Faso, Pakistan and Tanzania, with the aim of reducing health worker bias toward young, unmarried and nulliparous women seeking family planning services. This study used qualitative methods - based on interviews with health workers who participated in the intervention, managers at health facilities that participated in the intervention, and policy and program stakeholders at the national level - to understand implementation experiences with the intervention. The results offer insights for organizations or countries seeking to implement Beyond Bias or similar programs, and point to some other key implementation challenges for multi-component interventions in lower-resource settings. The intervention, developed using a human-centered design approach, was seen as key for successful implementation but there were logistical challenges. The digital intervention was disruptive and distracting to many. In addition, the non-financial rewards intervention was perceived as complex, and some participants expressed feeling discouraged when they did not receive a reward. Beyond Bias did not sufficiently attend to the "outer setting," and this was perceived as a major implementation barrier as it limited individuals' capacity to fully achieve the desired behavior change; for example, space constraints meant that some health facilities could not ensure private services for all clients. There were scalability concerns related to cost, and there is uncertainty whether diversity of contexts (within and across countries) might constrain implementation of Beyond Bias at scale.

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