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EVITA 2.0, an updated framework for understanding evidence-based mental health policy agenda-setting: tested and informed by key informant interviews in a multilevel comparative case study

机译:EVITA 2.0,用于理解循证精神卫生政策议程设置的更新框架:在多层次比较案例研究中通过关键线人访谈进行测试和告知

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Background Mental health remains a neglected issue on the global health policy agenda, particularly in low- and middle-income countries (LMIC), and the translation of research evidence into policy and practice is slow. The new EVITA framework was developed to improve mental health evidence uptake and policy agenda-setting in LMICs. In addition, behavioural science methods may be able to support knowledge translation to policy. Methods Using a mixed-methods study design, we applied and tested the newly developed EVITA 1.1 framework against three case studies related to South Africa at the district, national and international levels. In-depth interviews with 26 experts were conducted between August and November 2019, transcribed, coded and analysed in NVivo, using iterative categorization. The data were analysed against both the EVITA framework and the MINDSPACE framework for behavioural insights. Results In our case study comparison, we found that (1) research translation to the policy agenda occurs in a complex, fluid system which includes multiple “research clouds”, “policy spheres” and other networks; (2) mental health research policy agenda-setting is based on key individuals and intermediaries and their interrelationships; and (3) key challenges and strategies for successful research to policy agenda impact are known, but are frequently not strategically implemented, such as including all stakeholders to overcome the policy implementation gap. Our data also suggest that behavioural science methods can be strategically applied to support knowledge translation to policy agenda-setting. Conclusion We found that the EVITA framework is useful for understanding and improving mental health research policy interrelationships to support evidence uptake to the policy agenda, and that behavioural science methods are effective support mechanisms. The revised EVITA 2.0 framework therefore includes behavioural insights, for improved mental health policy agenda-setting in LMICs. More research is needed to understand whether EVITA can be applied to other LMICs and to high-income contexts.
机译:背景 精神卫生仍然是全球卫生政策议程上一个被忽视的问题,特别是在低收入和中等收入国家,研究证据转化为政策和实践的速度很慢。新的EVITA框架旨在改善中低收入国家的精神卫生证据吸收和政策议程设置。此外,行为科学方法可能能够支持将知识转化为政策。方法 采用混合方法研究设计,我们应用并测试了新开发的 EVITA 1.1 框架,在地区、国家和国际层面针对与南非相关的三个案例研究。2019 年 8 月至 11 月期间,对 26 位专家进行了深入访谈,在 NVivo 中采用迭代分类法进行转录、编码和分析。根据 EVITA 框架和 MINDSPACE 框架对数据进行分析,以获得行为洞察力。结果 在我们的案例研究比较中,我们发现(1)研究转化为政策议程发生在一个复杂的、流动的系统中,该系统包括多个“研究云”、“政策领域”和其他网络;(2)精神卫生研究政策议程的制定基于关键个人和中介机构及其相互关系;(3)成功研究对政策议程影响的关键挑战和策略是已知的,但往往没有战略性地实施,例如包括所有利益相关者以克服政策实施差距。我们的数据还表明,行为科学方法可以战略性地应用于支持知识转化为政策议程设置。结论 我们发现EVITA框架有助于理解和改善心理健康研究政策的相互关系,以支持证据纳入政策议程,行为科学方法是有效的支持机制。因此,修订后的 EVITA 2.0 框架包括行为见解,以改善中低收入国家的精神卫生政策议程设置。需要更多的研究来了解EVITA是否可以应用于其他中低收入国家和高收入环境。

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