Evidence map›Paper›PMID 37179685›Full record

ArticleTelemedicine reports2023

Telehealth Implementation, Treatment Attendance, and Socioeconomic Disparities in Treatment Utilization in a Community Mental Health Setting During the COVID-19 Pandemic: A Retrospective Analysis of Electronic Health Record Data.

Jonathan Kris

Open access · goldAbstract read
In one paragraph

Article in Telemedicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 3 citations in OpenAlex.

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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 at 1 institution in 1 country.

Jonathan KrisDepartment of Psychology, University of Detroit Mercy, Detroit, Michigan, USA.ORCID https://orcid.org/0000-0002-4728-3920
University of Detroit Mercy · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have found that the widespread implementation of telehealth for outpatient mental health treatment during the COVID-19 pandemic has been associated with reduced no-show rates and increases in total number of appointments. However, it is unclear to what degree this is due to increased accessibility provided by telehealth, rather than to increased consumer demand for services fueled by the pandemic-related exacerbation of mental health needs. To shed light on this question, the present analysis examined changes in attendance rates for outpatient, home-, and school-based programs at a community mental health center in southeastern Michigan. Disparities in treatment utilization associated with socioeconomic status were also examined. Methods: Two-proportion z-tests were conducted to examine changes in attendance rates, and Pearson correlations were calculated using the median income level and attendance rate by zip code to examine disparities in utilization associated with socioeconomic status. Results: The proportion of appointments kept after telehealth implementation was statistically significantly higher for all outpatient programs, but not for any home-based programs. Specifically, absolute increases in the proportion of appointments kept ranged from 0.05 to 0.18 for outpatient programs, representing relative increases of 9.2% to 30.2%. Furthermore, before telehealth implementation, there was a strong positive correlation between income and attendance rate for all outpatient programs (ranging from Discussion: Results highlight the utility of telehealth in increasing treatment attendance and mitigating disparities in treatment utilization associated with socioeconomic status. These findings are highly relevant to ongoing discussions surrounding the long-term fate of evolving insurance and regulatory guidelines pertaining to telehealth.

Indexed as

COVID-19mental healthsocioeconomic statustelehealthtreatment attendance

Identifiers

PMID37179685
PMCPMC10171946
OpenAlexW4376641351

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.