Investigating decision-regret and distress among psychologists impacted by client suicide : a thesis submitted in partial fulfilment of the requirement for the degree of Doctor of Clinical Psychology at Massey University, Auckland, New Zealand
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Mental health professionals are tasked with making critical decisions about their client’s care. It is thus unsurprising that client suicide has been described as a distressing experience among professionals. Significant emotional, cognitive, and professional impacts have been reported which include psychological distress, shock, self-blame, guilt, and absenteeism. Due to the variability of impacts reported across the literature, a novel theoretical approach to understanding the impact of client suicide on psychologists was implemented using two decision-regret theories. \n \nMethods: A quantitative cross-sectional survey design was used to measure the impact of client suicide on psychologists. By using structural equation modelling, the following factors were investigated: regret, distress, self-blame, supervisory support, and beliefs about suicide preventability. Additionally, two regret theories were tested which included the following variables as predictors on regret: decision-regret, decision justification, decision-process quality, and intention-behaviour consistency. Control models were tested to control for carefully selected confounding variables, and a supplementary qualitative analysis was included investigating the factors related to coping following client suicide. A sample of 248 psychologists from New Zealand, Australia, Canada, United Kingdom, and the United States of America was included in this study. \n \nResults: The results identified statistically significant relationships between the following predictor variables on regret: decision-justification, decision-process quality, and beliefs about suicide preventability. Additionally, a significant moderate positive relationship was evidenced between regret (as the predictor) and distress. The qualitative analysis indicated that high-quality supervisory support and understanding the predictive limitations in assessing suicide risk were important factors in coping with client suicide. Additionally, factors identified that were related to poor coping included judgement, counter-factual thinking and blame, and confidentiality limitations preventing seeking support from loved ones. \n \nConclusions: The present study demonstrates support for two factors which appear to influence regret levels: decision-justification and decision-process quality. Additionally, this study also evidenced regret as a significant moderate predictor of distress, highlighting the role that regret may play in influencing a range of affective states among psychologists following client suicide. The findings of the present study highlight the need for the development of robust support structures that acknowledge the impact of client suicide.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it