Evidence map›Paper›PMID 30613120›Full record

ArticleChildren and youth services review2018

The impact of the low-income housing tax credit on children's health and wellbeing in Georgia.

Katie A Ports, Whitney L Rostad, Feijun Luo, Michelle Putnam, Elizabeth Zurick

Abstract read
In one paragraph

Article in Children and youth services review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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.

Katie A PortsDivision of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Whitney L RostadDivision of Violence Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Feijun LuoDivision of Analysis, Research, and Practice Integration, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Michelle PutnamDivision of Unintentional Injury Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Elizabeth ZurickOffice of the Director, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Housing instability is a risk factor for child abuse and neglect (CAN). Thus, policies that increase availability of affordable housing may reduce CAN rates. The Low Income Housing Tax Credit (LIHTC) program is the largest affordable housing policy initiative in the country. This study used fixed-effects models to estimate the relationship between LIHTC units and county-level CAN reports in Georgia from 2005 to 2015, controlling for county demographic characteristics. One-way fixed-effects models (including only county fixed-effects) demonstrated significant negative associations between number of LIHTC units and substantiated cases of CAN and total reports of sexual abuse. In two-way fixed-effects models (including county and year fixed-effects), LIHTC units were not associated with any of the outcomes. The findings are subject to limitations, including voluntary provision of CAN data, suppressed data for counties with < 10 CAN cases, and no assessment of the quality of LIHTC neighborhood. LIHTC may be a promising prevention strategy, but more research is needed.

Identifiers

PMID30613120
PMCPMC6314036

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.