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Perceptions of Important Retention and Recruitment Factors by Therapists in Northwestern Ontario

2001· article· en· W2071763389 on OpenAlexaffabout
Patricia Solomon, Penny Salvatori, Sue Berry

Bibliographic record

VenueThe Journal of Rural Health · 2001
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRecreationFeelingAutonomySpouseEmployee retentionJob satisfactionMedicineNursingPerceptionPsychologySocial psychologyMarketingBusiness

Abstract

fetched live from OpenAlex

Recruitment and retention of health professionals in rural and remote communities are well-known challenges. Although the literature states that lifestyle factors and being from a rural background influence recruitment and retention, much of the research is dated and of limited relevance to rehabilitation professionals. This study reports on a survey of physical therapists (PTs) and occupational therapists (OTs) in northwestern Ontario. Seventy-four percent of the OTs and PTs from this geographically isolated region of Canada responded to a mail survey examining factors that influenced their job recruitment and retention decisions. Availability of leisure and recreation activities, proximity of family of origin, need for OTs and PTs and influence of spouse or partner frequently contributed to recruitment decisions and were also important in retention decisions. Although professional autonomy was an important source of job satisfaction for the respondents, almost one-third reported a feeling of professional isolation. Professional development initiatives appeared to influence job satisfaction but were unlikely to influence working life decisions. The findings suggest that recruitment and retention strategies should be multifaceted to reflect the complexity of therapists' decision-making.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.179
GPT teacher head0.485
Teacher spread0.305 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations42
Published2001
Admission routes2
Has abstractyes

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