DESIGN: Cross-sectional.
SETTING: Seven core clinical disciplines from seven tertiary public hospitals in Malaysia.
PARTICIPANTS: Study was conducted among 330 randomly-sampled doctors. Response rate was 80.61% (n=266).
RESULTS: The mean score of acute fatigue, chronic fatigue and intershift recovery were 68.51 (SD=16.549), 54.60 (SD=21.259) and 37.29 (SD=19.540), respectively. All these scores were out of 100 points each. Acute and chronic fatigue were correlated (r=0.663), and both were negatively correlated with intershift recovery (r=-0.704 and r=-0.670, respectively). Among the work-related activities done during non-work time, work-related ruminations dominated both the more frequent activities and the association with poorer fatigue and recovery outcomes. Rumination on being scolded/violated was found to be positively associated with both acute fatigue (adjusted regression coefficient (Adj.b)=2.190, 95% CI=1.139 to 3.240) and chronic fatigue (Adj.b=5.089, 95% CI=3.876 to 6.303), and negatively associated with recovery (Adj.b=-3.316, 95% CI=-4.516 to -2.117). Doing work task at workplace or attending extra work-related activities such as locum and attending training were found to have negative associations with fatigue and positive associations with recovery. Nevertheless, doing work-related activities at home was positively associated with acute fatigue. In terms of communication, it was found that face-to-face conversation with partner did associate with higher recovery but virtual conversation with partner associated with higher acute fatigue and lower recovery.
CONCLUSIONS: Work-related ruminations during non-work time were common and associated with poor fatigue and recovery outcomes while overt work activities done at workplace during non-work time were associated with better fatigue and recovery levels. There is a need for future studies with design that allow causal inference to address these relationships.
PARTICIPANTS AND METHODS: We conducted online in-depth interviews among seven house officers using an interview guide developed based on a literature review. The transcripts were analyzed. Major themes were identified. A 33-item questionnaire was developed, and the main and sub-themes were identified as motivators for specialist career choice. An online survey was done among 185 house officers. Content validation of motivators for specialist choice was done using exploratory factor analysis. First, second and third choices for a specialist career were identified. Multinomial logistic regression analyses were done to determine the socio-demographic factors and motivators associated with the first choice.
RESULTS: HOs perceived that specialist training opportunities provide a wide range of clinical competencies through well-structured, comprehensive training programs under existing specialist training pathways. Main challenges were limited local specialist training opportunities and hurdles for 'on-contract' HO to pursue specialist training. Motivators for first-choice specialty were related to 'work schedule', 'patient care characteristics', 'specialty characteristics', 'personal factors', 'past work experience', 'training factors', and 'career prospects.' House officers' first choices were specialties related to medicine (40.5%), surgery (31.5%), primary care (14.6%), and acute care (13.5%). On multivariate analysis, "younger age", "health professional in the family", "work schedule and personal factors", "career prospects" and "specialty characteristics" were associated with the first choice.
CONCLUSIONS: Medical and surgical disciplines were the most preferred disciplines and their motivators varied by individual discipline. Overall work experiences and career prospects were the most important motivators for the first-choice specialty. The information about motivational factors is helpful to develop policies to encourage more doctors to choose specialties with a shortage of doctors and to provide career specialty guidance.
METHODS: This study employed a retrospective cohort design utilizing claims data from the Fukuoka Prefecture Wide-Area Association of Latter-Stage Elderly Healthcare Insurance and Long-Term Care Insurance. Patients aged ≥75 years who were newly diagnosed with Parkinson's disease in 2014 were included in this study, following the onset of Parkinson's disease to March 31, 2019. We calculated the restricted mean survival time to evaluate mortality, focusing on the frequency of physician visits for Parkinson's disease treatment. Inpatient days, outpatient days, and healthcare and long-term care costs per month were calculated using a generalized linear model.
RESULTS: There were 2224 participants, with 46.5% mortality among those with a higher frequency of physician visits and 56.4% among those with a lower frequency of physician visits. A higher frequency of physician visits was associated with a significant increase in survival time (1.57 months at 24 months and 5.00 months at 60 months) after the onset of Parkinson's disease and a decrease in inpatient days and healthcare costs compared to a lower frequency of physician visits.
CONCLUSIONS: A higher frequency of physician visits was significantly associated with longer survival time, fewer inpatient days, and lower healthcare costs. Caregivers should support patients with Parkinson's disease to visit physicians regularly for their treatment.
OBJECTIVES: The present study aims to explore the level of awareness, attitude, and practice of PM in Pakistan along with the challenges faced by the oncologists for the treatment of cancer using the PM approach.
METHODS: Phenomenology-based qualitative approach was used. Face-to-face in-depth interviews were conducted using the purposive sampling approach among oncologists in Lahore, Pakistan. The data were analyzed using thematic content analysis to identify themes and sub-themes.
RESULTS: Out of 14 physicians interviewed 11 were aware of PM. They were keen on training to hone their skills and agreed on providing PM. Oncologists believed PM was expensive and given to affluent patients only. Other impeding factors include cost, lack of knowledge, and drug unavailability.
CONCLUSIONS: Despite basic knowledge and will to practice, resource and cost constraints were marked as significant barriers. Additional training programs and inclusion into the curriculum may help to pave the way to PM implementation in the future. In addition, health authorities and policymakers need to ensure a cheaper PM treatment can be made available for all cancer patients.
MATERIALS AND METHODS: This study consists of two parts. First, a cross-sectional study on the knowledge of and attitude towards leprosy using an online quesitonnaire was conducted among doctors working in the primary care clinics and hospitals in Sabah and Labuan. Subsequently, the participants were asked to watched an online prerecorded video lecture on leprosy and to answered the same questionnaire.
RESULTS: Of the 310 participants, one fifth (20.6%) had good knowledge and 36.5% had positive attitude towards leprosy. Being a specialist (adjusted odds ratio [aOR] 4.55, 95% confidence interval [CI] 2.17-9.57, p < 0.001), managed ≥ 5 leprosy cases (aOR 3.37, 95% CI 1.52-7.47, p = 0.003), and involved in educational activities related to leprosy within last year (aOR 4.7, 95% CI 1.69-13.04, p < 0.001) were the significant predictors of good knowledge. Working in tertiary care was significantly associated with good attitude towards leprosy (OR 2.19, 95% CI 1.22-3.94, p = 0.025). There was a significant improvement in participants' knowledge post-intervention (87.0% participants post-lecture vs 20.6% participants pre-lecture with good knowledge, p < 0.001).
CONCLUSION: The proportion of doctors in Sabah and Labuan with good knowledge and attitude towards leprosy was low. Knowledge of leprosy improved significantly postintervention. This highlights the need for educational and training programmes to improve doctors' knowledge of leprosy.
MATERIALS AND METHODS: A literature search was performed across PubMed, EMBASE, Emerald Insight and grey literature sources. The key terms used in the search include 'distribution', 'method', and 'physician', focusing on research articles published in English from 2002 to 2022 that described methods or tools to measure hospital-based physicians' distribution. Relevant articles were selected through a two-level screening process and critically appraised. The primary outcome is the measurement tools used to assess the distribution of hospital-based physicians. Study characteristics, tool advantages and limitations were also extracted. The extracted data were synthesised narratively.
RESULTS: Out of 7,199 identified articles, 13 met the inclusion criteria. Among the selected articles, 12 were from Asia and one from Africa. The review identified eight measurement tools: Gini coefficients and Lorenz curve, Robin Hood index, Theil index, concentration index, Workload Indicator of Staffing Need method, spatial autocorrelation analysis, mixed integer linear programming model and cohortcomponent model. These tools rely on fundamental data concerning population and physician numbers to generate outputs. Additionally, five studies employed a combination of these tools to gain a comprehensive understanding of physician distribution dynamics.
CONCLUSION: Measurement tools can be used to assess physician distribution according to population needs. Nevertheless, each tool has its own merits and limitations, underscoring the importance of employing a combination of tools. The choice of measuring tool should be tailored to the specific context and research objectives.
METHODS: Focus group discussions with patients attending a family medicine center attached to a tertiary care hospital were carried out using the four gates model of Arabian medical professionalism that is appropriate to Arab culture. Discussions with patients were recorded and transcribed. Data were thematically analyzed using NVivo software.
RESULTS: Three main themes emerged from the data. (1) In dealing with patients, participants expected respect but understood delays in seeing physicians due to their busy schedules. In communication, participants expected to be informed about their health conditions and to have their questions answered. (2) In dealing with tasks, participants expected proper examination and transparency of diagnosis, but some expected the physician to know everything and did not appreciate them seeking outside opinions. They expected to see the same physician at every visit. (3) In physician characteristics preferences, participants preferred friendly smiling physicians. Some cared about the outer appearance of the physician whereas others did not.
DISCUSSION/CONCLUSIONS: The findings of the study explained only two themes of the four gates model namely dealing with patients and dealing with tasks. Cultural competence and how to benefit from patients' perceptions to be an ideal physician should be incorporated into the process of physicians' training.
MATERIALS AND METHODS: A cross-sectional study was conducted in Luyang Health Clinic from 1st June 2020 to 3rd September 2020. A self-interviewed questionnaire comprises of three sections; sociodemographic, Wake Forest Physician Trust Scale (WFS) and Adherence to Refills and Medications Scale (ARMS) was completed by 281 respondents. Glycaemic control is based on the latest Hba1c profile of the respondents. Descriptive and nonparametric bivariate analysis were performed using IBM SPSS version 26.
RESULTS: The median (IQR) level of trust in physician was 43(8) out of a possible score range of 10 to 50. Trust in physician was correlated with treatment adherence (r=-0.12, p=0.048). There was no significant association between trust in physician with sociodemographic factors, which include age (p=0.33), gender (p=0.46), ethnicity (p=0.70), education level (p=0.50), and household income (p=0.37). Similarly, there was no significant association between the level of trust in physician with glycaemic control (p=0.709).
CONCLUSION: In conclusion, trust in physician was associated with treatment adherence but not with glycaemic control. In our local context, the glycaemic control could be due to other factors. Further studies should include a multicentre population to assess other potential factors that could contribute to glycaemic control.
METHODS: A systematic search was conducted in four databases from inception until April 30, 2021 as well as search of citation of included articles. Studies that reported patients' and/or their caregivers' attitude towards deprescribing quantitatively were included. All studies were independently screened, reviewed, and data extracted in duplicates. Patients and caregivers willingness to deprescribe their regular medication was pooled using random effects meta-analysis of proportions.
RESULTS: Twenty-nine unique studies involving 11,049 participants were included. All studies focused on the attitude of the patients towards deprescribing, and 7 studies included caregivers' perspective. Overall, 87.6% (95% CI: 83.3 to 91.4%) patients were willing to deprescribe their medication, based upon the doctors' suggestions. This was lower among caregivers, with only 74.8% (49.8% to 93.8%) willing to deprescribe their care recipients' medications. Patients' or caregivers' willingness to deprescribe were not influenced by study location, study population, or the number of medications they took.
DISCUSSION: Most patients and their caregivers were willing to deprescribe their medications, whenever possible and thus should be offered a trial of deprescribing. Nevertheless, as these tools have a poor predictive ability, patients and their caregivers should be engaged during the deprescribing process to ensure that the values and opinions are heard, which would ultimately improve patient safety. In terms of limitation, as not all studies may published the methods and results of measurement they used, this may impact the methodological quality and thus our findings. OPEN SCIENCE FRAMEWORK REGISTRATION: https:// osf.io/fhg94.
OBJECTIVE: This study aims to develop and validate SafeHIT, an instrument to assess self-reported safe use of HIT among health care practitioners.
METHODS: Systematic literature review and a semistructured interview with 31 experts were adopted to generate SafeHIT instrument items. In total, 450 physicians from various departments at three Malaysian public hospitals participated in the questionnaire survey to validate SafeHIT. Exploratory factor analysis and confirmatory factor analysis (CFA) were undertaken to explore the items that best represent a specific construct and to confirm the reliability and validity of the SafeHIT, respectively.
RESULTS: The final SafeHIT consisted of 14 constructs and 58 items in total. The result of the CFA confirmed that all constructs demonstrated adequate convergent and discriminant validity.
CONCLUSION: A reliable and valid theoretically underpinned measure of determinants of safe HIT use behavior has been developed. Understanding external factors that influence safe HIT use is useful for developing targeted interventions that favor the quality and safety of health care.