Evidence map›Paper›PMID 32653963›Full record

ArticleCommunity mental health journal2021

Using the Hub and Spoke Model of Telemental Health to Expand the Reach of Community Based Care in the United States.

Cynthia Williams

Abstract read
PubMed Publisher
In one paragraph

Article in Community mental health journal, 2021. 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. Investigating Equivalence of In-Person and Telehealth-Based Neuropsychological Assessment Performance for Individuals Being Investigated for Younger Onset Dementia.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    Trial
  2. Review
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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.

Cynthia WilliamsDepartment of Public Health, Brooks College of Health, University of North Florida, 1 UNF Drive, Jacksonville, FL, 32224-2646, USA. Cynthia.White-Williams@unf.edu.ORCID 0000-0002-8344-7427

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community-based agencies are challenged with providing mental health care services with limited resources. When services are not provided, children are at increased risk for ongoing symptoms. The purpose of this study was to determine the effectiveness of the hub and spoke model of telemental services on the quality of function, access to care, and medication management. A retrospective case controlled design was used to examine study objectives. Five hundred and fifty-seven charts were reviewed for persons aged 6 to 17 from January 1, 2010 to December 31, 2015 and after propensity score matching was applied, 86 remained for analysis. Seventy-nine persons out of 301 (26%) in the comparison group; 43 persons out of 256 (17%) in the treatment group were selected due to having complete records. Results of the T-test suggested that telemental services were not inferior to face to face services. Access to care, analyzed via the Chi-Squared test, increased significantly across geographic regions and among person with different living arrangements. A T-test was conducted to compare medication non-adherence between groups; no statistical significance was noted. Telemental services are a viable option to increase access to community-based care and increase quality of function.

Indexed as

Mental Health ServicesTelemedicineCase-Control StudiesChildHumansRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsCommunity-basedMental healthNon-profitTelemedicine

Identifiers

What OpenQuestion holds

Textmetadata
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.