Caring for someone with depression: attitudes and clinical practices of Australian mental health clinicians
Bibliographic record
Abstract
Background: Family members and carers who support a person with depression are faced with specific challenges and are often significantly burdened as a result of the role. Those caring for someone with depression report being dissatisfied with the level of inclusivity and support provided by clinicians. However, little is known about what influences the support provided to Australian carers of people in depression. Method: To investigate this, 119 Australian mental health clinicians were surveyed with a self-report questionnaire to gather information on their attitudes towards, and current clinical practices when, working with family members and carers of a person with depression. Participants comprised mental health clinicians who identified their primary client group as mental health consumers or family members and carers. Recruitment occurred via invitation to clinicians who had attended a Partners in Depression facilitator training course and recruitment of clinicians who had not attended this training. Results: Results indicated that the attitudes of clinicians towards family members and carers were generally positive, while inclusive clinical practices varied. Providing family members and carers with an orientation to services and information on how to respond in crisis situations were two of the most frequently reported interventions. There were a number of barriers to inclusive practice identified, which were predominantly organisational in nature. In addition, those who perceived more barriers reported providing more clinical interventions to family members and carers of people with depression. In contrast, there was no relationship between reported attitudes and perceived barriers. Additionally, attitudes and barriers did not predict the inclusive clinical practice of those working directly with carers, while there was a significant relationship between perceived barriers and the inclusive clinical practice for those working directly with family members and carers. Conclusions: It appears that in order for inclusive practice to occur more consistently there is a need for major organisational and systematic reform. Further research is necessary to explore the reasons why family members and carers are not routinely included in the care and treatment process for people with depression.
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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 | 0.004 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".