METHODS: A scoping review was carried out and adhered to the Preferred Reporting System for Meta-Analysis. A comprehensive search strategy of four databases; PubMed, Medline, CINAHL Plus and Scopus, from January 2011 to June 2021 was applied. Thematic analysis was used to analyse the data.
RESULTS: Ten journal articles were included, and four themes were identified; patient experiences using communication methods, practitioners' cultural competence in Deaf culture, inherent challenges of communication methods, and extrinsic factors. Professional interpreters are often regarded as the preferred modality of communication but writing and lip-reading were commonly used in healthcare settings, with video remote interpreting the least common.
CONCLUSION: Healthcare professionals need to appreciate the heterogeneity of Deaf patients and their communication methods and adopt a more person-centred approach.
PRACTICE IMPLICATIONS: This review provides up-to-date insight on Deaf patient-physician interactions and provisional recommendations for practice, education and policy.
OBJECTIVE: To measure factors associated with mHealth adoption among primary care physicians (PCPs) in Malaysia.
METHODS: A cross-sectional study using a self-administered questionnaire was conducted among PCPs. The usage of mHealth apps by the PCPs has divided into the use of mHealth apps to support PCPs' clinical work and recommendation of mHealth apps for patient's use. Factors associated with mHealth adoption were analysed using multivariable logistic regression.
RESULTS: Among 217 PCPs in the study, 77.0% used mHealth apps frequently for medical references, 78.3% medical calculation and 30.9% interacting with electronic health records (EHRs). Only 22.1% of PCPs frequently recommended mHealth apps to patients for tracking health information, 22.1% patient education and 14.3% use as a medical device. Performance expectancy and facilitating conditions were associated with mHealth use for medical references. Family medicine trainees, working in a government practice and performance expectancy were the facilitators for the use of mHealth apps for medical calculation. Internet connectivity, performance expectancy and use by colleagues were associated with the use of mHealth with EHR. Performance expectancy was associated with mHealth apps' recommendation to patients to track health information and provide patient education.
CONCLUSIONS: PCPs often used mHealth apps to support their clinical work but seldom recommended mHealth apps to their patients. Training for PCPs is needed on the appraisal and knowledge of the mHealth apps for patient use.
METHODS AND ANALYSIS: This is a cross-sectional study among 375 Malaysian medical doctors who met the inclusion criteria. A predetermined self-administered questionnaires will be used to collect information regarding the sociodemographic, health status, workplace information, work commuting information, driving behaviour, history of RCI, fatigue, sleep quality, mental health status and work engagement. The questionnaires consist of the following instruments: (1) sociodemographic, health status, workplace information, work commuting information, driving behaviour and history of RCI; (2) Checklist of Individual Strength Questionnaire; (3) Pittsburgh Sleep Quality Index; (4) 21-item Depression Anxiety and Stress Scale; and (5) Utrecht's Work Engagement Scale. The data will be analysed using SPSS program V.24. Descriptive and inferential statistics will be used to determine the prevalence and predictors of RCI.
ETHICS AND DISSEMINATION: This study protocol has received ethics approval from the Medical Research and Ethics Committee (MREC), Ministry of Health Malaysia (NMRR-18-3983-40609) and the Ethics Committee for Research Involving Human Subject, University Putra Malaysia (JKEUPM). Online written informed consent will be obtained from each study participant by the researchers. Results of the study will be disseminated through relevant journals and conferences.
TRIAL REGISTRATION NUMBER: NCT04243291.
METHODS: Conducted from February to May 2023, this study aimed to determine the relationships between perceived effectiveness and perceived ease of implementation of six nudge interventions to reduce medication errors, i.e., provider champion, provider's commitment, peer comparison, provider education, patient education and departmental feedback, and the moderating effects of seniority of job positions and clinical experience on nudge acceptability. Partial Least Square Structural Equation Modelling was used for data analysis.
RESULTS AND DISCUSSION: All six nudge strategies had significant positive relationships between perceived effectiveness and acceptability. In three out of six interventions, perceived ease of implementation was shown to have positive relationships with perceived acceptability. Only seniority of job position had a significant moderating effect on perceived ease of implementation in peer comparison intervention. Interventions that personally involve senior doctors appeared to have higher predictive accuracy than those that do not, indicating that high power-distance culture influence intervention acceptability.
CONCLUSION: For successful nudge implementations, both intrinsic properties of the interventions and the broader sociocultural context is necessary.