MATERIALS AND METHODS: This mixed-method study aimed to determine the patient's needs to develop a discharge planning for total knee replacement surgery. The needs for 96 total knee replacement patients were assessed using the Needs Evaluation Questionnaire (NEQ). The in-depth interview primary focus was to explore the lived experience of the post-total knee replacement patients receiving care in the hospital.
RESULTS: A total of 96 participants (100%) completed the NEQ questionnaire. Most of the needs concerned by the participants were expressed by at least 70% of them except the financial need (59.4%). The semi-structured interview found two elements which were a support group and patients' needs in terms of emotional, physical and spiritual preparation in developing effective discharge planning.
CONCLUSION: This study clarified that the patient needs assessment in the patient care plan.
METHODS: A cross-sectional study was carried out on medical students in a public medical school. DASS-21, the neuroticism-subscale of USMaP-i and SAS-SV were administered to measure psychological distress, neuroticism, and smartphone addiction of the medical students. Spearman correlation was performed to examine the correlation between smartphone addiction with psychological distress and neuroticism. Simple linear regression was performed to investigate relationship factors of smartphone addiction.
RESULTS: A total of 574 medical students participated in this study. The prevalence of smartphone addiction was 40.6%. It was higher among male (49.2%) compared to female (36.6%) medical students. The result showed a fair positive correlation between smartphone addiction and psychological health (rdepression = 0.277, p-value
Methods: This is a comparative cross-sectional study on two cohorts of pre-clinical medical students who were selected by multiple mini interviews and personal interview, respectively. Their personality traits, emotional intelligence, perceived educational environment, and perceived stressors were measured using different measurement tools.
Results: Multiple mini interviews and personal interview demonstrated a similar ability to recruit medical students with a high level of emotional intelligence. The main advantage of personal interviews over multiple mini interviews in terms of personality traits is that it recruited candidates who had a higher level of conscientiousness trait. The main advantage of multiple mini interviews over personal interview on the educational environment is that medical students chosen by multiple mini interviews had a higher level of satisfaction with social aspects of medical training. Regardless of admission processes, the medical students were equally vulnerable to psychological distress due to various stressful events throughout medical training particularly related to academic loads.
Conclusions: This study provided evidence to support the outcomes that multiple mini interviews and personal interview have on medical students' emotional intelligence, personality traits, perceived educational environment, and perceived stressors during the pre-clinical medical training. Interestingly, personal interview had a better outcome on conscientiousness while multiple mini interviews had a better outcome on the social aspect.
Method: A cross-sectional study was carried out on a sample of medical students in their final year at Universiti Sains Malaysia. Confirmatory factor analysis (CFA) was performed using AMOS 22 to assess construct validity. Reliability analysis was performed using SPSS 22 to assess internal consistency.
Results: A total of 159 final year medical students participated. CFA showed that the original four-factor model with 15 items achieved acceptable values for the goodness of fit indices, suggesting a good model fit (X2 = 198.295, ChiSq/df = 2.418, RMSEA = 0.095, GFI = 0.867, CFI = 0.953, NFI = 0.923, TLI = 0.940). The Cronbach's alpha values of the mentoring relationship structure, engagement, and competency support domains were 0.96, 0.90 and 0.88, respectively. For autonomy support, the Cronbach's alpha value was 0.62.
Conclusion: MBS demonstrates a satisfactory level of construct validity and a high level of internal consistency in measuring supportive mentor behaviours in a medical school setting. This result suggests that MBS can be used as a mentorship evaluation tool for feedback in the context of a Malaysian medical school.
Methods: A literature search was carried out through Scopus, Science Direct, Google Scholar, PubMed, and EBSCOhost databases based on specific search terms. Each article was appraised based on title, abstract, and full text. The selected articles were critically appraised, and relevant information to support the validity of MMI in various educational settings was synthesized. This paper followed the PRISMA guideline to ensure consistency in reporting systematic review results.
Results: A majority of the studies were from Canada, with 41.54%, followed by the United Kingdom (25.39%), the United States (13.85%), and Australia (9.23%). The rest (9.24%) were from Germany, Ireland, the United Arab Emirates, Japan, Pakistan, Taiwan, and Malaysia. Moreover, most MMI stations ranged from seven to 12 with a duration of 10 min per station (including a 2-min gap between stations).
Conclusion: The results suggest that the content, response process, and internal structure of MMI were well supported by evidence; however, the relation and consequences of MMI to important outcome variables were inconsistently supported. The evidence shows that MMI is a non-biased, practical, feasible, reliable, and content-valid admission tool. However, further research on its impact on non-cognitive outcomes is required.
Methods: A comparative cross-sectional study was conducted on the interviewed and non-interviewed cohorts. Their examination marks were obtained from the academic office, psychological health was measured by DASS-21, personality traits were measured by USMaP-15, and emotional intelligence was measured by USMEQ-17.
Results: The interviewed cohort performed significantly better in the clinical examination than the non-interviewed cohort. Conversely, the non-interviewed cohort performed significantly better in the theoretical examination. Depression, anxiety, and stress level between the two cohorts showed no difference. The interviewed cohort demonstrated more desirable personality traits, higher emotional intelligence, and social competence than the non-interviewed cohort.
Discussion: This study provides evidence to support the claim that the interview-based admission process has favourable outcomes on clinical performance, emotional intelligence, and personality traits. Several insights gained as a result of this study are discussed.
Methods: We adopted a comparative cross-sectional study on pre-clinical medical students who appeared in two different admission tests. The stress, anxiety, and depression levels of students were measured by the depression, anxiety, stress scale (DASS-21), and their burnout level was measured by the Copenhagen Burnout Inventory.
Results: The stress, anxiety, and depression scores between MMI and PI were not significantly different (p-value > 0.05). The personal, work and client burnout scores between MMI and PI were not significantly different (p-value > 0.05). The prevalence of stress (MMI = 39%, PI = 36.9%), anxiety (MMI = 78%, PI = 67.4%), depression (MMI = 41%, PI = 36.2%) and burnout (MMI = 29%, PI = 31.9%) between MMI and PI cohorts was not significantly different (p-value > 0.05). These results showed similar levels of stress, anxiety, depression, and burnout in students at the end of the pre-clinical phase.
Conclusions: This study showed similar psychological health status of the pre-clinical students who were enrolled by two different admission tests. The prevalence of stress, anxiety, burnout, and depression among the pre-clinical medical students was comparable to the global prevalence. The results indicate that medical schools can consider implementing either MMI or PI to recruit suitable candidates for medical training.
METHODS: We searched the databases of PubMed, ProQuest, ScienceDirect, Web of Science, and EBSCO host using (professionalism AND (professionalism OR (professional identity) OR (professional behaviors) OR (professional values) OR (professional ethics))) AND ((social media) AND ((social media) OR (social networking sites) OR Twitter OR Facebook)) AND (health professionals). The research questions were based on sample (health professionals), phenomenon of interest (digital professionalism), design, evaluation and research type. We screened initial yield of titles using pre-determined inclusion and exclusion criteria and selected a group of articles for qualitative analysis. We used the Biblioshiny® software package for the generation of popular concepts as clustered keywords.
RESULTS: Our search yielded 44 articles with four leading themes; marked rise in the use of social media by healthcare professionals and students, negative impact of social media on digital professionalism, blurring of medical professional values, behaviors, and identity in the digital era, and limited evidence for teaching and assessing digital professionalism. A high occurrence of violation of patient privacy, professional integrity and cyberbullying were identified. Our search revealed a paucity of existing guidelines and policies for digital professionalism that can safeguard healthcare professionals, students and patients.
CONCLUSIONS: Our systematic review reports a significant rise of unprofessional behaviors in social media among healthcare professionals. We could not identify the desired professional behaviors and values essential for digital identity formation. The boundaries between personal and professional practices are mystified in digital professionalism. These findings call for potential educational ramifications to resurrect professional virtues, behaviors and identities of healthcare professionals and students.
METHODS: This series of studies involved 696 participants from May 2022 to December 2022. Following scoping review, invited modified e-Delphi experts developed consensus on the components and related items for measuring online learning environments. A panel of content experts and a group of medical students carried out content and response-process validation to determine Content Validity Index (CVI) and Face Validity Index (FVI) respectively. This was followed by exploratory and confirmatory factor analysis and reliability analysis to determine Digi-MEE's factorial structure and internal consistency using SPSS version 26.0 and AMOS 26.0.
RESULTS: Delphi experts agreed upon nine components with 73 items of initial Digi-MEE version. CVI of Digi-MEE 2.0 was more than 0.90. with FVI of Digi-MEE 3.0 of 0.87. Exploratory factor analysis yielded 46 items with 57.18% variance. Confirmatory factor analysis led to the final Digi-MEE version containing 28 items within nine components with acceptable levels of goodness of fit indices. Overall Cronbach alpha of the final Digi-MEE was more than 0.90, and for the nine components ranged between 0.62 and 0.76.
CONCLUSION: Digi-MEE is a promising valid and reliable instrument to evaluate online education environment in medical education. Content, response-process, factorial structure, and internal consistency evidence support the validity of Digi-MEE. Medical schools can use Digi-MEE as an evaluation tool for the continuous quality improvement of online learning environments.
METHODS: We followed a systematic approach for the development of a framework about e-professionalism. Qualitative data was collected from a systematic review and a delphi study, while quantitative data was collected by administering a validated questionnaire social networking sites for medical education (snsme). Subsequently, categorization of the selected data and identifying concepts, deconstruction and further categorizing concepts (philosophical triangulation), integration of concepts (theoretical triangulation), and synthesis and resynthesis of concepts were performed.
RESULTS: The initial process yielded six overlapping concepts from personal, professional, character (implicit) and characteristic (explicit) domains: environment, behavior, competence, virtues, identity, and mission. Further integration of data was done for the development of the medical education e-professionalism (meep) framework with a central concept of a commitment to mission. The mission showed deep connections with values (conformity, beneficence, universalism, and integrity), behaviours (communication, self-awareness, tolerance, power), and identity (reflection, conscientiousness, self-directed, self-actualization). The data demonstrated that all medical professionals require updated expertise in sns participation.
CONCLUSION: The meep framework recognises a mission-based social contract by the medical community. This mission is largely driven by professional values, behaviors and identity. Adherence to digital standards, accountability, empathy, sensitivity, and commitment to society are essential elements of the meep framework.
METHODS: A cross-sectional study was conducted with 241 medical students. Validated questionnaires were administered to measure burnout, psychological distress, emotional intelligence, personality traits, and academic stress, respectively. A structural equation modelling analysis was performed by AMOS.
RESULTS: The results suggested a structural model with good fit indices, in which psychological distress and academic stress were noted to have direct and indirect effects on burnout. The burnout levels significantly increased with the rise of psychological distress and academic stress. Neuroticism was only found to have significant indirect effects on burnout, whereby burnout increased when neuroticism increased. Emotional intelligence had a significant direct effect on lowering burnout with the incremental increase of emotional intelligence, but it was significantly reduced by psychological distress and neuroticism.
CONCLUSION: This study showed significant effects that psychological distress, emotional intelligence, academic stress, and neuroticism have on burnout. Academic stress and neuroticism significantly increased psychological distress, leading to an increased burnout level, while emotional intelligence had a significant direct effect on reducing burnout; however, this relationship was compromised by psychological distress and neuroticism, leading to increased burnout. Several practical recommendations for medical educators, medical students, and medical schools are discussed.
MATERIALS AND METHODS: This study adapted and translated the Vaccine Hesitancy Scale (VHS) developed by the WHO SAGE Working Group. The scale underwent a sequential validation process, including back-back translation, content, face, and construct validity for Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). The reliability was tested using internal consistency (Cronbach's alpha composite reliability (CR) and average variance extracted (AVE)).
RESULTS: The data for EFA and CFA were completed by a separate sample of 125 and 300 HCWs, respectively. The EFA analysis of the C19-VHS-M scale was unidimensional with 10 items. A further CFA analysis revealed a uniform set of nine items with acceptable goodness fit indices (comparative fit index = 0.997, Tucker-Lewis index = 0.995, incremental fit index = 0.997, chi-squared/degree of freedom = 1.352, and root mean square error of approximation = 0.034). The Cronbach's alpha, CR and AVE results were 0.953, 0.95 and 0.70, respectively.
CONCLUSIONS: The questionnaire was valid and reliable for use in the Malay language.