Evidence map›Paper›PMID 37692451›Full record

ArticleQualitative research in medicine & healthcare2023

"It's real. It's a thing:" Mental health counselors' listening exhaustion during COVID-19.

Damla Ricks, Grace Ellen Brannon

Open access · diamondAbstract read
In one paragraph

Article in Qualitative research in medicine & healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.8field-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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Desire to learn qualitative methods among researchers in healthcare fields.Qualitative research in medicine & healthcare · 2023
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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

2 authors at 1 institution in 1 country.

Damla RicksDepartment of Communication, College of Liberal Arts, University of Texas at Arlington, Arlington, TX, USA.
Grace Ellen BrannonDepartment of Communication, College of Liberal Arts, University of Texas at Arlington, Arlington, TX, USA.
The University of Texas at Arlington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mental health counselors regularly use active listening skills to be present with each client; however, active listening may cause burnout due to high emotional labor, inadequate staffing, excessive workload, and many other issues, each of which contributes to career exits. COVID-19 exacerbated all of these factors, and-adding to already stressful conditions-most mental health professionals were forced to conduct therapy sessions via telehealth. For this study, twenty licensed mental health counselors at various stages of their careers were interviewed during the height of the pandemic to understand their experiences with the technology and other factors related to their workload during that time. Thematic qualitative analysis was used to explore effects of active listening-including requisite adjustments made for virtual therapy sessions-on counselors' emotional exhaustion and burnout levels. Results show how back-to-back, daily therapy sessions increased listening exhaustion levels and that counselors experienced both long-term and short-term listening exhaustion when utilizing telehealth due to lack of nonverbal cues and other related factors pertaining to online delivery. Implications for counselors, social workers, and other mental health professionals are discussed.

Indexed as

burnoutCOVID-19emotional exhaustionInterpersonal communicationlisteningthematic qualitative analysis

Identifiers

PMID37692451
PMCPMC10483483
OpenAlexW4385455343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.