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Record W3024559694 · doi:10.1080/17549507.2020.1758210

Well-being, job satisfaction, stress and burnout in speech-language pathologists: A review

2020· review· en· W3024559694 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Speech-Language Pathology · 2020
Typereview
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsBurnoutJob satisfactionWorkloadPsycINFOWorkforceInclusion (mineral)Observational studyAttritionPsychologySalaryStrengthening the reporting of observational studies in epidemiologyThematic analysisMEDLINEEmotional exhaustionQualitative researchApplied psychologyMedicineClinical psychologySocial psychologyManagementPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this review was to evaluate the factors that influence well-being, job satisfaction, stress, and burnout in speech-language pathologists (SLPs), and to identify the impact of these variables on worker recruitment and retention. METHOD: A systematic literature search was conducted. Four electronic databases (PsycARTICLES & PsycINFO, PubMed/Medline, CINHAL and ABI/INFORM) were searched. The search was limited to articles published in English between 1998 and June 2018. To be eligible for inclusion, studies needed to investigate or report well-being, job satisfaction, stress or burnout in SLPs. The methodological quality of each paper was assessed using the "Strengthening the Reporting of Observational Studies in Epidemiology" (for quantitative data) and "Consolidated criteria for Reporting Qualitative research" (for qualitative data) checklists. A data-driven thematic analysis of the literature was used to identify key themes. RESULT: Seventeen of 2050 studies met the inclusion criteria, of which 15 were cross-sectional surveys yielding quantitative data. Two were qualitative studies. There was consistent evidence for SLPs in the USA and Canada experiencing average to high satisfaction in their jobs. However, SLP job satisfaction in the UK was low, and studies in other countries did not address satisfaction. Facet analysis revealed six contributory themes, three of which were clearly associated with well-being: workload/caseload size, professional support, and salary. The contribution of job control (autonomy), length of time in practice and work setting was inconclusive. Evidence for stress and dissatisfaction leading to workforce attrition was found. CONCLUSION: Job satisfaction, stress, and burnout were found to be associated with various occupational features, including elements of demand, support and reward. No previous studies have investigated the interaction between different elements of a job, which might boost satisfaction or ameliorate stress in SLPs. This is the first review using a systematic approach to focus on well-being, satisfaction, stress and burnout in SLPs and suggests more work needs to be done to help identify and improve the well-being of the workforce.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.494
Teacher spread0.438 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it