Social work scope of practice with Parkinson's disease: A qualitative study
Bibliographic record
Abstract
Summary The field of social work has seen increased recognition across many sectors in recent years. Evolving racial, political, and medical paradigms and the COVID-19 pandemic have shown the importance of a person-centered approach to health and mental health. One such area of practice is neurology, specifically work with people with Parkinson's disease (PD), which is the second most common neurodegenerative disease, currently impacting more than 10 million people worldwide. While social workers have long played key roles in multidisciplinary teams in PD care settings, research and literature offering assessment and evidence in this area remain limited. This research study used a mixed-methods approach with additional in-depth qualitative interviews conducted with 11 social workers. This article presents findings from the 11 interviewees who are presently working with people with PD using thematic analysis. Findings Themes emerging were an in-depth detailed role of the social worker, the importance of strong relationships working with people with PD and their families, multidisciplinary teams, and the community. Institutional challenges were highlighted concerning supporting social work positions and encouraging social work intervention from the beginning of diagnosis to the end stages of the disease. COVID-19 proved very challenging for social workers, multidisciplinary teams, and families, and yet positive practices were identified as well. Applications The impact of this study reinforces the essential role specialized PD social workers play in multidisciplinary PD teams and recognition needed to increase their role through early intervention reflected in increasing social work positions in neurology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".