Understanding professional development challenges of Chinese public health professionals
Association and prediction analyses with data validity screening
Bibliographic Data
| ID | 22088018 |
|---|---|
| Authors | Yingchen Wang (0000-0003-3376-6224, Shandong Youth University of Political Science, corresponding author), Xiangran Kong (0009-0001-2705-4282, Jinan Central Hospital), Fang Li (0000-0001-9180-3615, Jinan Central Hospital), Hongyan Zhao (0000-0002-9750-7216, Jinan Central Hospital) |
| Year | 2023 |
| Volume | 11 |
| Pages | 1250606-1250606 |
| Publication date | 2023-08-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2023.1250606 |
| PMID | 37719725 |
| OpenAlex | W4386326003 |
| Language | EN |
| References cited | 40 |
Background: Little is known about the public health professionals engaged in educating and training new or future researchers in public health. Research in this direction identifies their issues, concerns, challenges, and needs. This study focused on the professional development challenges of Chinese public health professionals. Methods: Snowball sampling was utilized. A total of 265 public health professionals participated. An instrument of 6 dimensions (burnout, sleep issue, mood issue, friends' support, exercise, and challenges) was developed, revised, and administered online. Two different approaches, the conventional and data screening approaches, were applied. The former started with item quality analyses, whereas the latter began with data quality checks. The chi-square tests of associations and logistic regressions were performed on both approaches. Results and discussion: 19.25% of the participants were detected and deleted as careless respondents. Using both approaches, six professional development challenges except one ("Multidisciplinary learning") were significantly associated with various demographic features. The two approaches produced different models though they converged sometimes. The latent variables of exercise predicted professional development challenges more frequently than other latent variables. Regarding correct classification rates, results from the data screening approach were comparable to those from the conventional approach. Conclusion: The latent variables of exercise, such as "Exercise effects," "Expectations of exercise," and "Belief in exercise," might be understudied. More research is necessary for professional development challenges using exercise as a multidimensional construct. Based on the current study, screening and deleting careless responses in survey research is necessary
Latent variable · Logistic regression · Medical education · Multidisciplinary approach · Professional development · Public health · Snowball sampling · Applied Psychology · Computer Science · Health Policy Implementation Science · Innovations in Medical Education · Medicine · Nursing · Psychology · Public Health Policies and Education
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| Highly cited | No |
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