Varghese Joe, Kutty V Raman, Paina Ligia, Adam Taghreed
Centre for Chronic Disease Control and Governance Hub, Public Health Foundation of India, Delhi NCR, Plot No, 47, Sector 44, Gurgaon 122002, India.
Health Res Policy Syst. 2014 Aug 26;12:47. doi: 10.1186/1478-4505-12-47.
Governing immunization services in a way that achieves and maintains desired population coverage levels is complex as it involves interactions of multiple actors and contexts. In one of the Indian states, Kerala, after routine immunization had reached high coverage in the late 1990s, it started to decline in some of the districts. This paper describes an application of complex adaptive systems theory and methods to understand and explain the phenomena underlying unexpected changes in vaccination coverage.
We used qualitative methods to explore the factors underlying changes in vaccination coverage in two districts in Kerala, one with high and one with low coverage. Content analysis was guided by features inherent to complex adaptive systems such as phase transitions, feedback, path dependence, and self-organization. Causal loop diagrams were developed to depict the interactions among actors and critical events that influenced the changes in vaccination coverage.
We identified various complex adaptive system phenomena that influenced the change in vaccination coverage levels in the two districts. Phase transition describes how initial acceptability to vaccination is replaced by a resistance in northern Kerala, which involved new actors; actors attempting to regain acceptability and others who countered it created several feedback loops. We also describe how the authorities have responded to declining immunization coverage and its impact on vaccine acceptability in the context of certain highly connected actors playing disproportionate influence over household vaccination decisions.Theoretical exposition of our findings reveals the important role of trust in health workers and institutions that shape the interactions of actors leading to complex adaptive system phenomena.
As illustrated in this study, a complex adaptive system lens helps to uncover the 'real' drivers for change. This approach assists researchers and decision makers to systematically explore the driving forces and factors in each setting and develop appropriate and timely strategies to address them. The study calls for greater consideration of dynamics of vaccine acceptability while formulating immunization policies and program strategies. The analytical approaches adopted in this study are not only applicable to immunization or Kerala but to all complex interventions, health systems problems, and contexts.
以实现并维持理想的人群覆盖率水平的方式管理免疫服务是复杂的,因为这涉及多个行为主体和环境的相互作用。在印度的喀拉拉邦,20世纪90年代末常规免疫接种覆盖率达到较高水平后,部分地区的覆盖率开始下降。本文描述了复杂适应系统理论和方法的应用,以理解和解释疫苗接种覆盖率意外变化背后的现象。
我们采用定性方法,探究喀拉拉邦两个地区疫苗接种覆盖率变化的潜在因素,一个地区覆盖率高,另一个地区覆盖率低。内容分析以复杂适应系统固有的特征为指导,如相变、反馈、路径依赖和自组织。绘制因果循环图以描述影响疫苗接种覆盖率变化的行为主体和关键事件之间的相互作用。
我们识别出影响两个地区疫苗接种覆盖率水平变化的各种复杂适应系统现象。相变描述了喀拉拉邦北部最初对疫苗接种的接受度如何被抵制所取代,这涉及新的行为主体;试图恢复接受度的行为主体和其他抵制的行为主体形成了几个反馈回路。我们还描述了在某些高度关联的行为主体对家庭疫苗接种决策产生不成比例影响的背景下,当局如何应对免疫接种覆盖率下降及其对疫苗可接受性的影响。我们研究结果的理论阐述揭示了信任在塑造导致复杂适应系统现象的行为主体相互作用的卫生工作者和机构中的重要作用。
如本研究所示,复杂适应系统视角有助于揭示变化的“真正”驱动因素。这种方法有助于研究人员和决策者系统地探索每种情况下的驱动力和因素,并制定适当和及时的策略来应对它们。该研究呼吁在制定免疫政策和项目策略时更多地考虑疫苗可接受性的动态变化。本研究采用的分析方法不仅适用于免疫接种或喀拉拉邦,也适用于所有复杂干预措施、卫生系统问题和环境。