van Kessel Robin, Seghers Laure-Elise, Anderson Michael, Schutte Nienke M, Monti Giovanni, Haig Madeleine, Schmidt Jelena, Wharton George, Roman-Urrestarazu Andres, Larrain Blanca, Sapanel Yoann, Stüwe Louisa, Bourbonneux Agathe, Yoon Junghee, Lee Mangyeong, Paccoud Ivana, Borga Liyousew, Ndili Njide, Sutherland Eric, Görgens Marelize, Weicken Eva, Coder Megan, de Fatima Marin Heimar, Val Elena, Profili Maria Cristina, Kosinska Monika, Browne Christine Elisabeth, Marcelo Alvin, Agarwal Smisha, Mrazek Monique F, Eskandar Hani, Chestnov Roman, Smelyanskaya Marina, Källander Karin, Buttigieg Stefan, Ramesh Kirthi, Holly Louise, Rys Andrzej, Azzopardi-Muscat Natasha, de Barros Jerome, Quintana Yuri, Spina Antonio, Hyder Adnan A, Labrique Alain, Kamel Boulos Maged N, Chen Wen, Agrawal Anurag, Cho Juhee, Klucken Jochen, Prainsack Barbara, Balicer Ran, Kickbusch Ilona, Novillo-Ortiz David, Mossialos Elias
LSE Health, Department of Health Policy, London School of Economics and Political Science, Houghton Street, London, WC2A 2AE, London, England.
Innovation in Health Information Systems Unit, Sciensano, Brussels, Belgium.
Bull World Health Organ. 2025 Feb 1;103(2):110-125H. doi: 10.2471/BLT.24.292057. Epub 2024 Oct 29.
To map how social, commercial, political and digital determinants of health have changed or emerged during the recent digital transformation of society and to identify priority areas for policy action.
We systematically searched MEDLINE, Embase and Web of Science on 24 September 2023, to identify eligible reviews published in 2018 and later. To ensure we included the most recent literature, we supplemented our review with non-systematic searches in PubMed® and Google Scholar, along with records identified by subject matter experts. Using thematic analysis, we clustered the extracted data into five societal domains affected by digitalization. The clustering also informed a novel framework, which the authors and contributors reviewed for comprehensiveness and accuracy. Using a two-round consensus process, we rated the identified determinants into high, moderate and low urgency for policy actions.
We identified 13 804 records, of which 204 met the inclusion criteria. A total of 127 health determinants were found to have emerged or changed during the digital transformation of society (37 digital, 33 social, 33 commercial and economic and 24 political determinants). Of these, 30 determinants (23.6%) were considered particularly urgent for policy action.
This review offers a comprehensive overview of health determinants across digital, social, commercial and economic, and political domains, highlighting how policy decisions, individual behaviours and broader factors influence health by digitalization. The findings deepen our understanding of how health outcomes manifest within a digital ecosystem and inform strategies for addressing the complex and evolving networks of health determinants.
描绘在近期社会数字转型过程中，健康的社会、商业、政治和数字决定因素是如何变化或出现的，并确定政策行动的优先领域。
我们于2023年9月24日系统检索了MEDLINE、Embase和科学网，以确定2018年及以后发表的符合条件的综述。为确保纳入最新文献，我们通过在PubMed®和谷歌学术上进行非系统检索，以及由主题专家确定的记录，对我们的综述进行了补充。使用主题分析，我们将提取的数据聚类到受数字化影响的五个社会领域。聚类还形成了一个新颖的框架，作者和贡献者对该框架的全面性和准确性进行了审查。通过两轮共识过程，我们将确定的决定因素按政策行动的紧迫性分为高、中、低三类。
我们确定了13804条记录，其中204条符合纳入标准。共发现127个健康决定因素在社会数字转型过程中出现或发生了变化（37个数字决定因素、33个社会决定因素、33个商业和经济决定因素以及24个政治决定因素）。其中，30个决定因素（23.6%）被认为对政策行动特别紧迫。
本综述全面概述了数字、社会、商业和经济以及政治领域的健康决定因素，突出了政策决策、个人行为和更广泛因素如何通过数字化影响健康。这些发现加深了我们对健康结果如何在数字生态系统中显现的理解，并为应对复杂且不断演变的健康决定因素网络提供了策略依据。
