Evidence map›Paper›PMID 27799852›Full record

ArticleJournal of technology in human services2015

Introducing Technology in Child Welfare Referrals: A Case Study.

Elinam Dellor, Kristina Lovato-Hermann, Jennifer Price Wolf, Susanna R Curry, Bridget Freisthler

Abstract read
In one paragraph

Article in Journal of technology in human services, 2015. 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
2.6field-weighted citation impact, top 10% of its field
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, 19 citations in OpenAlex.

  1. Trial
  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

5 authors at 1 institution in 1 country.

Elinam DellorDepartment of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles.
Kristina Lovato-HermannLuskin School of Public Affairs, University of California, Los Angeles.
Jennifer Price WolfDivision of Social Work, California State University, Sacramento; Prevention Research Center.
Susanna R CurryLuskin School of Public Affairs, University of California, Los Angeles.
Bridget FreisthlerLuskin School of Public Affairs, University of California, Los Angeles.
University of California, Los Angeles · US

Funding

NIMHD NIH HHS L60 MD005476
6 · The paper itself

Abstract

Access to social services is important for the safety of children and ultimately for reunification of families involved in the child welfare system. The process of linking families to services however, varies by caseworker and can be cumbersome and time-consuming. The DCFS Needs Portal is an internet-based intervention to improve the timing and quality of social service referrals in Los Angeles County We used a case study approach including in-depth interviews, direct observations and user feedback obtained from the Needs Portal to 1) determine perceived benefits and barriers to adopting the Needs Portal and 2) report how the flow of information between users and developers was used to adapt to user needs. Our analyses revealed four major barriers: 1) caseworker apprehension regarding new technology, 2) variation in communication styles by user type, 3) lack of technological infrastructure and 4) competing workplace demands. Information sharing between developers and users has the potential to better meet the needs of users and ultimately maximize utilization of new technology. Although internet-based interventions are designed to inexpensively and effectively coordinate services, emerging interventions may require in-person assistance and modifications in order to succeed.

Indexed as

child welfareinformation and communication technologyinternetservice referral

Identifiers

PMID27799852
PMCPMC5084615
OpenAlexW2216109460

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.