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Integrating Social Determinants in Decision-Making Processes for Health: Insights from Conceptual Frameworks-the 3-D Commission.
Martins, Diogo Correia; Babajide, Opeyemi; Maani, Nason; Abdalla, Salma M; Gómez, Eduardo J; Pongsiri, Montira J; Tlou, Sheila; Leung, Gabriel Matthew; Benjamin, Georges C; Goosby, Eric; Dain, Katie; Vega, Jeanette; Zeinali, Zahra; Stoeva, Preslava; Galea, Sandro; Sturchio, Jeffrey; Twum-Danso, Nana A Y.
  • Martins DC; London School of Hygiene & Tropical Medicine (LSHTM), London, UK.
  • Babajide O; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
  • Maani N; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
  • Abdalla SM; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
  • Gómez EJ; Department of Epidemiology, Boston University School of Public Health, Boston, USA.
  • Pongsiri MJ; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA. abdallas@bu.edu.
  • Tlou S; Department of Epidemiology, Boston University School of Public Health, Boston, USA. abdallas@bu.edu.
  • Leung GM; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
  • Benjamin GC; Lehigh University, Bethlehem, USA.
  • Goosby E; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
  • Dain K; Stockholm Environment Institute - Asia Centre, Bangkok, Thailand.
  • Vega J; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
  • Zeinali Z; Nursing Now, Tuggerah, Australia.
  • Stoeva P; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
  • Galea S; LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
  • Sturchio J; Rockefeller Foundation-Boston University 3-D Commission on Determinants, Data, and Decision-making, Boston, USA.
  • Twum-Danso NAY; American Public Health Association, Washington DC, USA.
J Urban Health ; 98(Suppl 1): 51-59, 2021 08.
Article in English | MEDLINE | ID: covidwho-1491333
ABSTRACT
The inclusion of social determinants of health offers a more comprehensive lens to fully appreciate and effectively address health. However, decision-makers across sectors still struggle to appropriately recognise and act upon these determinants, as illustrated by the ongoing COVID-19 pandemic. Consequently, improving the health of populations remains challenging. This paper seeks to draw insights from the literature to better understand decision-making processes affecting health and the potential to integrate data on social determinants. We summarised commonly cited conceptual approaches across all stages of the policy process, from agenda-setting to evaluation. Nine conceptual approaches were identified, including two frameworks, two models and five theories. From across the selected literature, it became clear that the context, the actors and the type of the health issue are critical variables in decision-making for health, a process that by nature is a dynamic and adaptable one. The majority of these conceptual approaches implicitly suggest a possible role for data on social determinants of health in decision-making. We suggest two main avenues to make the link more explicit the use of data in giving health problems the appropriate visibility and credibility they require and the use of social determinants of health as a broader framing to more effectively attract the attention of a diverse group of decision-makers with the power to allocate resources. Social determinants of health present opportunities for decision-making, which can target modifiable factors influencing health-i.e. interventions to improve or reduce risks to population health. Future work is needed to build on this review and propose an improved, people-centred and evidence-informed decision-making tool that strongly and explicitly integrates data on social determinants of health.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Determinants of Health / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: J Urban Health Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: S11524-021-00560-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Determinants of Health / COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Humans Language: English Journal: J Urban Health Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: S11524-021-00560-z