Evidence map›Paper›PMID 37793649›Full record

ArticleHealth services research2024

Social determinants of health as a framework to identify and assess cross-sector funding opportunities.

Margaret Leonard, Christina Bernhardt, Brooke DiPetrillo, Japera Hemming, Karen Minyard

Abstract read
In one paragraph

Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Linking External Variables to the Prediction of Anxiety and Suicide Attempt Cases.Inquiry : a journal of medical care organization, provision and financing
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Margaret LeonardGeorgia Health Policy Center, Andrew Young School of Policy Studies, Georgia State University, Atlanta, Georgia, USA.ORCID 0009-0004-7401-2386
Christina BernhardtGeorgia Health Policy Center, Andrew Young School of Policy Studies, Georgia State University, Atlanta, Georgia, USA.
Brooke DiPetrilloGeorgia Health Policy Center, Andrew Young School of Policy Studies, Georgia State University, Atlanta, Georgia, USA.
Japera HemmingGeorgia Health Policy Center, Andrew Young School of Policy Studies, Georgia State University, Atlanta, Georgia, USA.ORCID 0009-0000-5921-5768
Karen MinyardGeorgia Health Policy Center, Andrew Young School of Policy Studies, Georgia State University, Atlanta, Georgia, USA.

Funding

Robert Wood Johnson Foundation 77918
6 · The paper itself

Abstract

objectiveTo present a content analysis and method for applying a social determinants of health (SDOH) analytical framework to legislation. DATA SOURCES AND STUDY

settingSecondary data include 215 sections of the American Rescue Plan Act of 2021 (ARPA) and related information from federal government websites (e.g., press releases, notices of funding announcements, and funding tables). STUDY

designResearchers conducted a qualitative content analysis of legislative text, recording all sections, appropriations, allocations, and administrators. Using an SDOH analytical framework defined by Healthy People 2030, researchers coded each section, appropriation, and allocation within the legislation. DATA COLLECTION/EXTRACTION

methodsResearchers reviewed all ARPA sections, appropriations, and allocations separately, resulting in 328 entries. Descriptive characteristics were calculated using Tableau and Microsoft Excel. Researchers coded each appropriation or allocation using definitions and key words presented in the SDOH analytical framework. PRINCIPAL

findingsApplying an SDOH analytical framework to the legislation's funding amounts reveals an overlap of investment opportunities that cross-sector initiatives can leverage. This overlap is seen primarily in two ways: (1) specific allocations and appropriations that can be used to meet multiple SDOH goals and (2) federal administrators receiving money that can be categorized according to multiple SDOHs. For example, approximately 99% of tracked ARPA funds can be used to support one or more SDOHs. Thirty-five appropriations or allocations can support programs categorized for more than one SDOH category. Eight departments received funds that could be designated for two or more SDOHs. All five SDOH categories can potentially receive funding from 3 to 11 federal administrators.

conclusionsUsing an SDOH analytical framework is an innovative approach to conceptualizing and synthesizing the contents of complex legislation. This approach demonstrates funding patterns across SDOH that can encourage cross-sector collaborations. Future content analysis of legislation can employ this SDOH framework to demonstrate cross-sector initiative funding opportunities.

Indexed as

Social Determinants of HealthFederal GovernmentHumansUnited Statesaligningcross-sectorhealth equityhealth policy/politics/law/regulationintegrated delivery systemsqualitative researchsocial determinants of health

Identifiers

PMID37793649
PMCPMC10796285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.