Department of Community and Public Health, Idaho State University, Pocatello, USA.
Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
Scand J Public Health. 2022 Jul;50(5):533-537. doi: 10.1177/14034948211014104. Epub 2021 May 31.
Exploring the behavior change process has been of interest and importance to public health professionals, to translate research into practice. Diffusion of innovations (DOI) model has been extensively applied in public health to examine the process by which innovation is passively communicated to individuals and groups. It builds on a staged model of awareness, persuasion, decision, implementation, and confirmation; and categorizes communities into innovators (2.5%), early adopters (13.5%), early majority (34%), late majority (34%) and laggards (16%). It reflects on the diversity of strategies to be applied for different cadres of the society to bring about a wholistic change. Nonetheless, DOI suffers from 'pro-innovation' and 'individual blame' bias, as it fails to account for the influence of societal, cultural, and extraneous factors affecting individual behavior change. The social networks theory (SNT) in contrast, explains behavior change based on social networks and their influences. It builds on the constructs of homophily, centralization, reciprocity, transitivity, and density; and fills the void in the DOI model. We suggest public health professionals to combine the constructs of DOI and SNT in rolling out behavior change interventions, to yield a comprehensive approach.
探索行为改变过程一直是公共卫生专业人员感兴趣和重视的问题,他们希望将研究转化为实践。创新扩散(DOI)模型在公共卫生领域得到了广泛应用,用于研究创新如何被动地传播给个人和群体。它建立在一个分阶段的意识、说服、决策、实施和确认模型的基础上,并将社区分为创新者(2.5%)、早期采用者(13.5%)、早期多数派(34%)、晚期多数派(34%)和落后者(16%)。它反映了为社会不同阶层带来整体变革而应用的多样性策略。然而,DOI 存在“亲创新”和“个人责任”偏见,因为它没有考虑到影响个人行为改变的社会、文化和外部因素的影响。相比之下,社会网络理论(SNT)基于社会网络及其影响来解释行为改变。它建立在同质性、集中化、互惠性、传递性和密度等结构的基础上,填补了 DOI 模型的空白。我们建议公共卫生专业人员在推出行为改变干预措施时结合 DOI 和 SNT 的结构,以采用综合方法。