Substance use disorders: causes, types and recovery
Bibliographic record
Abstract
Background and Purpose: This practicum project was inspired by a need to improve patient education on the inpatient withdrawal management unit in the Central Zone of the Nova Scotia Health Authority. As a result of the COVID-19 pandemic, many changes were implemented on the inpatient unit including elimination of group programming. These changes resulted in an increase in the number patients leaving treatment against medical advice, as well as the number of re-admissions to the unit. The purpose of this project was to develop an interactive education session and associated resources that provided information on substance use disorders (SUDs) (the causes and types) and the recovery journey. Two educational handouts were developed as take-home resources for the patient and their support person(s). Methods: The practicum project consisted of an integrative literature review, consultations with key stakeholders and an environmental scan. Results: The literature review and consultations supported the implementation of a patient education session to be delivered by nurses on the withdrawal management unit. Additionally, due to the lack of resources available to support persons and the evidence in the literature for including families in a patient’s care plan, a support person resource was created to fill this gap. Conclusion: The practicum project was designed to enhance and improve patient care offered on the inpatient withdrawal management unit. Its implementation is warranted, particularly with the COVID-19 driven changes, and is a much-needed resources as identified by both patients and staff members. Continued implementation of the patient and family education has the potential to have a positive influence on the rate of individuals who discontinue inpatient treatment prematurely as well as the number of re-admissions.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".