Effect of Rational-Emotive Distress Management Intervention on Work-Related Emotional Distress among Primary Healthcare Workers
Bibliographic record
Abstract
Emotional distress is associated with irrational beliefs, psychopathological conditions, and maladaptive behaviors. The objective of this study was to investigate the effect of rational-emotive distress management intervention -REDMI on work-related emotional distress among primary healthcare workers -PHCWs in Nigeria. A pretest-posttest randomized control group design was adopted by the investigators. Using convenient sampling procedure, 52 PHCWs were studied. These participants were assigned to either treatment (n=26) or control (n=26) groups respectively. Only the treatment group received rational-emotive distress management intervention. The profile of emotional distress –PED (internal consistency=0.94) was used for the pretest and posttest data collection. The IBM SPSS version 22 was employed for all statistical data analysis. The study participants in treatment group scored lower (10.87±2.63) in the posttest measure when compared to pretest scores (18.24±2.88). This implied that REDMI was effective in managing work-related emotional distress in a sample of primary healthcare workers in Nigeria. The REDMI is effective in managing work-related emotional distress among PHCWs in Nigeria. Professionals and experts in emotional health are therefore encouraged to adopt management intervention programs such as REDMI in helping workers and clients to manage emotional distress.Emotional distress is associated with irrational beliefs, psychopathological conditions, and maladaptive behaviors. The objective of this study was to investigate the effect of rational-emotive distress management intervention -REDMI on work-related emotional distress among primary healthcare workers -PHCWs in Nigeria. A pretest-posttest randomized control group design was adopted by the investigators. Using convenient sampling procedure, 52 PHCWs were studied. These participants were assigned to either treatment (n=26) or control (n=26) groups respectively. Only the treatment group received rational-emotive distress management intervention. The profile of emotional distress –PED (internal consistency=0.94) was used for the pretest and posttest data collection. The IBM SPSS version 22 was employed for all statistical data analysis. The study participants in treatment group scored lower (10.87±2.63) in the posttest measure when compared to pretest scores (18.24±2.88). This implied that REDMI was effective in managing work-related emotional distress in a sample of primary healthcare workers in Nigeria. The REDMI is effective in managing work-related emotional distress among PHCWs in Nigeria. Professionals and experts in emotional health are therefore encouraged to adopt management intervention programs such as REDMI in helping workers and clients to manage emotional distress.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".