Evidence map›Paper›PMID 41772869›Full record

ArticleJournal of genetic counseling2026

Examining aspects of job satisfaction associated with burnout and factors related to turnover intention in genetic counselors.

Kaitlin J Stanley, Ian M MacFarlane, Susan Randall Armel, David Chitayat, Brittney Johnstone

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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.

Kaitlin J StanleyDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID 0009-0005-1947-1392
Ian M MacFarlaneDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, Minnesota, USA.
Susan Randall ArmelDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-5016-3148
David ChitayatDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-1944-7294
Brittney JohnstoneDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-6370-8020

Funding

University of Toronto MSc Program in Genetic Counselling Fund
6 · The paper itself

Abstract

Burnout arises from prolonged work-related stress, leading to a chronic state of exhaustion, cynicism, and diminished professional efficacy. Previous studies have shown that ~50% of genetic counselors (GCs) experience burnout. This has negative implications for the GCs themselves, their employers, and patient care. Research in other healthcare professions has found a negative correlation between burnout and job satisfaction and a positive correlation between burnout and turnover intention. To investigate aspects of job satisfaction associated with burnout and aspects of burnout associated with turnover intention, a cross-sectional survey was administered via the listservs of three genetic counseling professional organizations. The survey included demographic questions, validated measures of burnout (the Maslach Burnout Inventory - General Survey) and job satisfaction (the Job Satisfaction Survey and select scales from the Job Satisfaction Questionnaire), a binary question assessing turnover intention, and two optional open-ended questions eliciting opinions on ways to improve job satisfaction. Of 228 respondents, 70 (30.7%) indicated that they were considering leaving their current job due to burnout. Logistic multiple regression analysis (n = 224) including subscales of burnout revealed that Exhaustion (p = 0.0004) and Cynicism (p < 0.0001) significantly predicted turnover intention. Linear multiple regression analyses (n = 206-207) including subscales of job satisfaction revealed that satisfaction with Nature of Work was a significant predictor of Exhaustion, Cynicism, and reduced Professional Efficacy (p < 0.0001). Significant predictors of Exhaustion included satisfaction with Operating Conditions (p = 0.02), Working Hours (p = 0.02), and Working Conditions (p = 0.01), while satisfaction with Empowerment and Participation (p = 0.03) was a significant predictor of Cynicism. Responses to the open-ended questions (147/228, 64.5%) revealed additional areas of job dissatisfaction. We propose several strategies to improve job satisfaction and ameliorate GC burnout at the organizational level. These strategies may increase the effectiveness of GCs in their jobs, improve patient care, promote professional longevity, and ultimately save organizations money by reducing turnover.

Indexed as

Burnout, ProfessionalCounselorsGenetic CounselingJob SatisfactionPersonnel TurnoverAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesburnoutgenetic counsellingjob satisfactionturnover

Identifiers

PMID41772869
PMCPMC12954157

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.