Evidence map›Paper›PMID 39071108›Full record

ArticleHealth affairs scholar2024

Development and validation of a community risk score for sexual and reproductive health in the United States.

Lisa M Lines, Christina I Fowler, Yevgeniya Kaganova, Karen Peacock

Abstract read
In one paragraph

Article in Health affairs scholar, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Lisa M LinesCenter for the Health of Populations, RTI International, Research Triangle Park, NC 27709-2194, United States.ORCID https://orcid.org/0000-0002-9202-3466
Christina I FowlerCenter for the Health of Populations, RTI International, Research Triangle Park, NC 27709-2194, United States.ORCID https://orcid.org/0000-0003-4931-7933
Yevgeniya KaganovaCenter for the Health of Populations, RTI International, Research Triangle Park, NC 27709-2194, United States.ORCID https://orcid.org/0000-0002-3879-5561
Karen PeacockResearch and Evaluation, Essential Access Health, Los Angeles, CA 90025, United States.ORCID https://orcid.org/0009-0000-4388-182X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Equitable access to sexual and reproductive health (SRH) care is key to reducing inequities in SRH outcomes. Publicly funded family-planning services are an important source of SRH care for people with social risk factors that impede their access. This study aimed to create a new index (Local Social Inequity in SRH [LSI-SRH]) to measure community-level risk of adverse SRH outcomes based on social determinants of health (SDoH). We evaluated the validity of the LSI-SRH scores in predicting adverse SRH outcomes and the need for publicly funded services. The data were drawn from more than 200 publicly available SDoH and SRH measures, including availability and potential need for publicly supported family planning from the Guttmacher Institute. The sample included 72 999 Census tracts (99.9%) in the 50 states and the District of Columbia. We used random forest regression to predict the LSI-SRH scores; 42 indicators were retained in the final model. The LSI-SRH model explained 81% of variance in the composite SRH outcome, outperforming 3 general SDoH indices. LSI-SRH scores could be a useful for measuring community-level SRH risk and guiding site placement and resource allocation.

Indexed as

family planningmachine learningreproductive healthsexual healthsocial determinants of healthspatial analysis

Identifiers

PMID39071108
PMCPMC11282459

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.