Evidence map›Paper›PMID 29930936›Full record

ArticleFrontiers in public health2018

Predictors of Coordinated and Comprehensive Care Within a Medical Home for Children With Special Healthcare (CHSCN) Needs.

Ashley Walker, John G Peden, Morgan Emter, Gavin Colquitt

Abstract read
In one paragraph

Article in Frontiers in public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Ashley WalkerDepartment of Community Health Education and Behavior, Georgia Southern University, Statesboro, GA, United States.
John G PedenSchool of Human Ecology, Georgia Southern University, Statesboro, GA, United States.
Morgan EmterDepartment of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA, United States.
Gavin ColquittDepartment of Health Sciences and Kinesiology, Georgia Southern University, Statesboro, GA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to examine predictors of coordinated and comprehensive care within a medical home among children with special health care needs (CSHCN). The latest version of the National Survey of Children with Special Health Care Needs (NS-CSHCN) employed a national random-digit-dial sample whereby US households were screened, resulting in 40,242 eligible respondents. Logistic regression analyses were performed modeling the probability of coordinated, comprehensive care in a medical home based on shared decision-making and other factors. A total of 29,845 cases were selected for inclusion in the model. Of these, 17,390 cases (58.3%) met the criteria for coordinated, comprehensive care in a medical home. Access to a community-based service systems had the greatest positive impact on coordinated, comprehensive care in a medical home. Adequate insurance coverage and being White/Caucasian were also positively associated with the dependent variable. Shared decision-making was reported by 72% of respondents and had a negative, but relatively negligible impact on coordinated, comprehensive care in a medical home. Increasing age, non-traditional family structures, urban residence, and public insurance were more influential, and negatively impacted the dependent variable. Providers and their respective organizations should seek to expand and improve health and support services at the community level.

Indexed as

care coordinationchildren with special health care needs (CSHCN)community-based servicesdisability healthpublic health workforce training

Identifiers

PMID29930936
PMCPMC6000754

What OpenQuestion holds

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Registered trials

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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.