Hebbar Pragati B, Bhojani Upendra M, Srinivas Prashanth Nuggehalli
Center for Commercial Determinant of Health, Institute of Public Health Bengaluru, Bengaluru, India.
Centre for Health Systems, Institute of Public Health Bengaluru, Bengaluru, India.
Int J Health Policy Manag. 2025 Jun 3. doi: 10.34172/ijhpm.9040.
There is a growing interest in complexity research. A recent systematic review by Loffreda et al attempted to study the barriers and opportunities for the adoption and implementation of the "best buys" for non-communicable diseases (NCDs) from a political economy perspective. In this commentary we take forward the discussion on the NCD best-buys by comparing the findings of the article with one of the risk factors of tobacco use and its control in India. We reflect on the challenges in actualizing the promise of research methods and approaches while studying such complex interventions like the NCD best buys. The balance of studying complexity while still keeping the findings translatable at country levels. Future research could potentially use a comparative lens focusing on either industry/government or actor behaviour across the different risk factors to facilitate cross learning, anticipate and pre-empt adverse policy decisions and implementation outcomes.
对复杂性研究的兴趣与日俱增。洛弗雷达等人最近进行的一项系统综述试图从政治经济学角度研究采用和实施非传染性疾病“最佳选择”的障碍与机遇。在这篇评论中,我们通过将该文章的研究结果与印度烟草使用及其控制的一个风险因素进行比较,推进关于非传染性疾病最佳选择的讨论。我们思考在研究像非传染性疾病最佳选择这样的复杂干预措施时,实现研究方法和途径的前景所面临的挑战。在研究复杂性的同时,仍要使研究结果在国家层面具有可转化性。未来的研究可能会使用比较视角,聚焦于不同风险因素中的行业/政府或行为主体行为,以促进相互学习,预测并预防不利的政策决策和实施结果。