The effect of the Progressive Goal Attainment Program on cognitions, perceptions, and work participation of workers with chronic health problems: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Cognitions and perceptions of workers with chronic health problems, such as catastrophizing thoughts and fear-avoidance beliefs, can negatively influence work participation. The Progressive Goal Attainment Program (PGAP) is an intervention developed in Canada with the aim of decreasing limiting cognitions and perceptions and increasing work participation. The objective of this protocol article is to describe the design of a randomized controlled superiority trial to study whether PGAP is effective in decreasing limiting cognitions and perceptions and increasing workability and work participation of workers with chronic health problems in the Netherlands. METHODS: This study is a randomized controlled superiority trial with two (parallel) groups, in which workers on sick leave are randomly assigned to an intervention group (PGAP intervention) or to a waiting-list control group (care as usual). The PGAP intervention consists of a maximum of 10 weekly individual sessions provided by a trained PGAP professional in which the worker learns about staying active, planning activities, and setting goals. Participants in this risk-targeted behavioral activation intervention also learn to be more aware of their cognitions and perceptions and learn about solution-focused problem-solving skills in challenging situations. The primary outcome is the degree of catastrophizing. Secondary outcomes are other personal cognitions and perceptions (e.g., expectations regarding return to work, self-efficacy), health symptoms (e.g., fatigue, depression), work participation (e.g., sick leave status, work hours), and other work-related outcomes (e.g., workability, quality of working life). DISCUSSION: Although PGAP shows positive effects in Canada, we do not know whether this intervention is effective in the Netherlands. This study is the first randomized controlled trial to test the effect of PGAP on limiting cognitions and perceptions and on work participation of workers with chronic health problems in the Netherlands. If PGAP is effective it could be implemented in the Netherlands in order to stimulate workability and work participation of workers. TRIAL REGISTRATION: The protocol of this study is registered in the Netherlands Trial Register (NL9832) in October 2021.
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.
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 | 0.038 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".