The effect of appreciative inquiry on the retention of nurses and other professionals and on the development of innovative ideas in health care /
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. Factors such as the shortage of personnel, hospital closures and mergers, the ageing of the population combined with the evolution of medical technologies have all added pressure to the health care system. These pressures have had an impact on current work environments and health care workers' satisfaction. In light of the evidence on the influence of job satisfaction and retention on the quality of tare and patient safety, interventions are needed to address these issues. Objective. The objective were to examine the effect of Appreciative Inquiry on: (1) the development of innovative ideas regarding work organization; (2) changes in health care professionals' and particularly nurses' job satisfaction and intent to stay; and, (3) levels of empowerment, social network and perceived organizational support. Research design. The study used a multiple embedded case study design to access the multifaceted aspects relating to retention and innovation and examine the changes engendered by an AI intervention. Participants and setting. Two oncology ambulatory clinics constituted the cases; the embedded units were the health care and the management teams (N = 47 and 5) of an adult oncology division in a multi-site university affiliated health care centre in a large Canadian city. Methods. Multiple sources of evidence were used. They consisted of participant observation, questionnaires providing quantitative and qualitative evidence, interviews, direct observation and documentation. Results. AI provided a way to involve health care professionals in change processes by creating the opportunity and the conditions that promoted the emergent of innovative ideas. Some of these ideas were implemented during the study period. AI did not result in improved psychological empowerment, perceived organizational support, support network or decreased intent to stay. Job satisfaction decreased over time. Perceptions of organizational support and psychological empowerment were found to influence job satisfaction and intent to stay. Conclusion. This study makes a contribution to micro-systems examination of change processes and reveals how ideas evolve and are developed in a multidisciplinary context. AI represents a way to tap into the innovative potential of individuals within an organization. The findings suggest that upper and middle management support is required throughout change processes and that multilevel interventions need to be pursued to facilitate the implementation of innovative ideas and subsequently improve work environments.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it