The Role of Social Workers in Interprofessional Primary Healthcare Teams
Bibliographic record
Abstract
Background: In Ontario, Canada, social workers are employed in a number of primary healthcare (PHC) settings such as Community Health Centres (CHCs) and Family Health Teams (FHTs). However, many aspects of social work practice within PHC settings are unknown. Objectives: The objectives of our study are to determine the amount of social work services provided in CHCs and FHTs, identify the types of services that social workers provide in CHCs and FHTs and ascertain the methods social workers use to deliver services in CHCs and FHTs. Method: An analysis of a cross-sectional data set obtained from a survey conducted in June 2016 in Ontario was performed. Results: The majority of practices (84.2%) had a social worker, although several practices also hosted other types of mental health workers. In virtually all practices with social workers, they (and individuals designated as mental healthcare providers) were also involved in practice level efforts to support mental healthcare delivery. In several practices, the care they delivered extended beyond that related directly to mental healthcare, ranging from preventive care and health promotion (64.5%) to palliative care (16.8%). In several practices, these workers also offered group appointments related to healthy behaviour (43.6%) and self-management (~33%). Interestingly, the role of social workers in practices where they were the sole designated mental healthcare worker was not meaningfully different from practices where other mental health professionals work. Conclusions: In PHC, social workers deliver or support the delivery of mental healthcare, but their role extends beyond that domain to encompass a broader set of services that contribute to the individual's health and wellbeing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".