Evidence map›Paper›PMID 23788827›Full record

ArticleGeoJournal2013

Need for and Access to Supportive Services in the Child Welfare System.

Bridget Freisthler

Abstract read
In one paragraph

Article in GeoJournal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

1 author.

Bridget FreisthlerUCLA Department of Social Welfare, 3250 Public Affairs Building, Box 951656, Los Angeles, CA 90095, (310) 825-2892, , freisthler@spa.ucla.edu.

Funding

Transitions and Alcohol Use in the Later Lifespan: Environmental and Individual-level InfluencesP60AA006282 · NIAAA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI MALLIE J PASCHALL · 2003 to 2026
$41.2M
NIAAA NIH HHS P60 AA006282
6 · The paper itself

Abstract

objectiveThe purpose of this paper is to examine how geographical availability of social services is related to foster care entry rates and referrals for child maltreatment investigations. The primary concerns are to (1) determine locations across Los Angeles County where the availability of social services is low but display a high need for those services and (2) begin to examine how the geographic distribution of social services is related to rates of referrals and foster care entries in child maltreatment.

methodsArchival data for all 288 zip codes within Los Angeles County were collected on rates of referrals, foster care entries, location and types of social service agencies, and zip code demographics. Data were analyzed using point process models and spatial regressions.

resultsHigher densities of child welfare services in local areas (for referrals) and lagged areas (for referrals and foster care entries) were related to lower rates of child maltreatment. The density of housing and housing-related services was negatively related to referrals in local areas and foster care entry rates in lagged areas. Areas with higher densities of substance abuse and domestic violence service agencies had significantly higher rates of both Child Protective Services (CPS) referrals and entries into foster care in local areas.

conclusionsWhile the total density of child welfare services within and surrounding zip code areas is related to lower rates of referrals and foster care entries, the findings are less clear about what those specific services are. Living in and around "resource rich" zip codes may reduce rates of child maltreatment.

Identifiers

PMID23788827
PMCPMC3684084

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.