Evidence map›Paper›PMID 38948509›Full record

ArticleCityscape (Washington, D.C.)2024

The Health Status of Women with Children Living in Public and Assisted Housing: Linkage of the National Health Interview Survey to U.S. Department of Housing and Urban Development Administrative Data.

Veronica Helms Garrison, Jacqueline V Bachand, Cindy Zhang, Christine Cox, Cordell Golden, Kimberly A Lochner

Abstract read
In one paragraph

Article in Cityscape (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Veronica Helms GarrisonU.S. Department of Housing and Urban Development, Office of Policy Development and Research.
Jacqueline V BachandU.S. Department of Housing and Urban Development, Office of Policy Development and Research.
Cindy ZhangNational Center for Health Statistics, Centers for Disease Control and Prevention.
Christine CoxNational Center for Health Statistics, Centers for Disease Control and Prevention.
Cordell GoldenNational Center for Health Statistics, Centers for Disease Control and Prevention.
Kimberly A LochnerNational Center for Health Statistics, Centers for Disease Control and Prevention.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

For more than a decade, the U.S. Department of Housing and Urban Development (HUD) and the National Center for Health Statistics (NCHS) have partnered to link NCHS national health survey data with HUD administrative records on persons participating in federal public and assisted housing programs. This study used 2015-18 National Health Interview Survey (NHIS)-HUD linked data to examine women 18-44 years old with children and renting their home who were receiving HUD assistance (n=852) and a comparison population of women of the same age with children, who were low-income renters but did not link to HUD records at the time of their NHIS interview (n=894). The population of HUD-assisted women differed from the comparison group on key sociodemographic characteristics and health indicators. HUD-assisted women were more likely to report their health as fair or poor and to being a current smoker. HUD-assisted women also were less likely to be uninsured and more likely to have a regular source of care. The findings in this article are exploratory but demonstrate how the NCHS-HUD-linked data can be a resource for researchers and policymakers in further examining housing status as an important social determinant of health.

Identifiers

PMID38948509
PMCPMC11212464

What OpenQuestion holds

Textmetadata
LicenceTDM
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.