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.
DESIGN AND METHODS: It was conducted with ten caregivers of individuals suffering from traumatic brain injury, that were selected using a theoretical sampling method. Data were obtained using a semi-structured interview guide, which helped the caregivers provide their responses. Meanwhile, data analysis was performed using the NVIVO analysis software.
RESULTS: The results showed that there were, three significant themes namely, (a) Support needed, (b) the information need for care, and (c) developing self-resilience. The results also showed that caregivers really need support from the various parties, and the participants lack information on specific care techniques for the severe traumatic brain injury (TBI) survivors.
CONCLUSION: In conclusion, caregivers require approval and seek more useful information to provide excellent care to their loved ones. Being aware of the caregiver's needs would enable them to offer improved customized care.
Methods: Manual sample size calculation using Microsoft Excel software and sample size tables were tabulated based on a single coefficient alpha and the comparison of two coefficients alpha.
Results: For a single coefficient alpha test, the approach by assuming the Cronbach's alpha coefficient equals to zero in the null hypothesis will yield a smaller sample size of less than 30 to achieve a minimum desired effect size of 0.7. However, setting the coefficient of Cronbach's alpha larger than zero in the null hypothesis could be necessary and this will yield larger sample size. For comparison of two coefficients of Cronbach's alpha, a larger sample size is needed when testing for smaller effect sizes.
Conclusions: In the assessment of the internal consistency of an instrument, the present study proposed the Cronbach's alpha's coefficient to be set at 0.5 in the null hypothesis and hence larger sample size is needed. For comparison of two coefficients' of Cronbach's alpha, justification is needed whether testing for extremely low and extremely large effect sizes are scientifically necessary.
MATERIALS AND METHODS: In this nonrandomized trial on interrupted time series study, flipped class was conducted on group of 112 students of bachelor of pharmacy semester V. The topic selected was popular herbal remedies of the complementary medicine module. Flipped class was conducted with audio and video presentation in the form of a quiz using ten one-best-answer type of multiple-choice questions covering the learning objectives. Audience response was captured using web-based interaction with Poll Everywhere. Feedback was obtained from participants at the end of FC activity and debriefing was done.
RESULTS: Randomly selected 112 complete responses were included in the final analysis. There were 47 (42%) male and 65 (58%) female respondents. The overall Cronbach's alpha of feedback questionnaire was 0.912. The central tendencies and dispersions of items in the questionnaire indicated the effectiveness of FC. The low or middle achievers of quiz session (pretest) during the FC activity were three times (95% confidence interval [CI] = 1.1-8.9) at the risk of providing neutral or negative feedback than high achievers (P = 0.040). Those who gave neutral or negative feedback on FC activity were 3.9 times (95% CI = 1.3-11.8) at the risk of becoming low or middle achievers during the end of semester examination (P = 0.013). The multivariate analysis of "Agree" or "Disagree" and "Agree" or "Strongly Agree" was statistically significant.
CONCLUSION: This study provides insight on how the pharmacy students learn and develop their cognitive functions. The results revealed that the FC activity with Poll Everywhere is an effective teaching-learning method.