METHODS: Via cross sectional approach, the current study collected data using a validated questionnaire to obtain information on the awareness of UNHS program among the health practitioners and to test the formulated hypotheses. 51, representing 81% response rate, out of 63 questionnaires distributed to the health professionals were returned and usable for statistical analysis. The survey instruments involving healthcare practitioners' awareness, human resource, program layout, screening instrument, and screening techniques instruments were adapted and scaled with 7-point Likert scale ranging from 1 (little) to 7 (many). Partial Least Squares (PLS) algorithm and bootstrapping techniques were employed to test the hypotheses of the study.
RESULTS: With the result involving beta values, t-values and p-values (i.e. β=0.478, t=1.904, p<0.10; β=0.809, t=3.921, p<0.01; β= -0.436, t=1.870, p<0.10), human resource, measured with training, functional equipment and program layout, are held to be significant predictors of enhanced knowledge of health practitioners. Likewise, program layout, human resource, screening technique and screening instrument explain 71% variance in health practitioners' awareness. Health practitioners' awareness is explained by program layout, human resource, and screening instrument with effect size (f2) of 0.065, 0.621, and 0.211 respectively, indicating that program layout, human resource, and screening instrument have small, large and medium effect size on health practitioners' awareness respectively. However, screening technique has zero effect on health practitioners' awareness, indicating the reason why T-statistics is not significant.
CONCLUSION: Having started the UNHS program in 2003, non-public hospitals have more experienced and well-trained employees dealing with the screening tools and instrument, and the program layout is well structured in the hospitals. Yet, the issue of homogeneity exists. Non-public hospitals charge for the service they render, and, in turn, they would ensure quality service, given that they are profit-driven and/or profit-making establishments, and that they would have no option other than provision of value-added and innovative services. The employees in the non-public hospitals have less screening to carry out, given the low number of babies delivered in the private hospitals. In addition, non-significant relationship between screening techniques and healthcare practitioners' awareness of UNHS program is connected with the fact that the techniques that are practiced among public and non-public hospital are similar and standardized. Limitations and suggestions were discussed.
DESIGN/METHODOLOGY/APPROACH: Using difference in differences model, BIMC Hospitals and Siloam Hospital Bali were compared before and after shift schedule realignment to test the association between shift schedule realignment and patient safety culture.
FINDINGS: Shift schedule realignment was associated with a significant improvement in staffing (coefficient 1.272; 95% CI 0.842 - 1.702; p<0.001), teamwork within units (coefficient 1.689; 95% CI 1.206 - 2.171; p<0.001), teamwork across units (coefficient 1.862; 95% CI 1.415 - 2.308; p<0.001), handoffs and transitions (coefficient 0.999; 95% CI 0.616 - 1.382; p<0.001), frequency of error reported (coefficient 1.037; 95% CI 0.581 - 1.493; p<0.001), feedback and communication about error (coefficient 1.412; 95% CI 0.982 - 1.841; p<0.001) and communication openness (coefficient 1.393; 95% CI 0.968 - 1.818; p<0.001).
PRACTICAL IMPLICATIONS: With positive impact on patient safety culture, shift schedule realignment should be considered as quality improvement initiative. It stretches the compressed workload suffered by staff while maintaining 40 h per week in accordance with applicable laws and regulations.
ORIGINALITY/VALUE: Shift schedule realignment, designed to improve patient safety culture, has never been implemented in any Indonesian private hospital. Other hospital managers might also appreciate knowing about the shift schedule realignment to improve the patient safety culture.
OBJECTIVE: Our main objective is to study the pre-effects and posteffects of the Personalized Mobile Mental Health Intervention (PMMH-I) for workplace cyberbullying in public and private hospitals in Malaysia.
METHODS: A hospital-based multimethod multi-analytic evidential approach is proposed, involving social and psychological health informatics. The project has been subdivided into 3 stages, starting with Phase 1, a prevalence study, followed by exploratory studies. Phase 2 consists of a quasi-experimental design, whereas the development of a prototype and their testing will be proposed in Phase 3. Each stage includes the use of quantitative and qualitative methods (mixed-method program), using SPSS (version 26.0; IBM Corp) and Stata (version 16.1; StataCorp) as tools for quantitative research, and NVivo (version 1.0; QSR International) and Atlas.ti (version 9.0.16; ATLAS.ti Scientific Software Development GmbH) for qualitative research.
RESULTS: The results of this study will determine the pre- and posteffectiveness of an integrated PMMH-I for health care professionals. The prototype system platform will be developed and implemented in a public and private hospital. Results from Phase 1 will be published in 2021, followed by the implementation of Phase 2 in subsequent years.
CONCLUSIONS: This study will provide evidence and guidance regarding the implementation of a personalized mobile mental health intervention for health care professionals into routine public and private hospitals to enhance communication and resolve conflicts.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/23112.
Methods: Participants were selected via stratified sampling. Participants completed an online questionnaire comprising demographic details and the Health Professional Stress Inventory. Scores on each domain and the aggregate scores were compared between physicians in public and private hospitals using a univariate analysis adjusted for potential confounders.
Results: The overall stress level between physicians in public and private hospitals was similar. However, physicians in private hospitals experienced a higher stress level related to patient care responsibilities and professional uncertainty as compared to those in public hospitals.
Conclusion: Physicians from private hospitals experience stress in different aspects of their profession as compared to physicians in public hospitals, especially with reference to patient care and career uncertainty. Measures should be taken to relieve the stress of physicians and thus improve their wellbeing.