Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model.

Objective: This study explored the factors and influence degree of job satisfaction among medical staff in Chinese public hospitals by constructing the optimal discriminant model. Methods: The participant sample is based on the service volume of 12,405 officially appointed medical staff from different departments of 16 public hospitals for three consecutive years from 2017 to 2019. All medical staff (doctors, nurses, administrative personnel) invited to participate in the survey for the current year will no longer repeat their participation. The importance of all associated factors and the optimal evaluation model has been calculated. Results: The overall job satisfaction of medical staff is 25.62%. The most important factors affecting medical staff satisfaction are: Value staff opinions (Q10), Get recognition for your work (Q11), Democracy (Q9), and Performance Evaluation Satisfaction (Q5). The random forest model is the best evaluation model for medical staff satisfaction, and its prediction accuracy is higher than other similar models. Conclusion: The improvement of medical staff job satisfaction is significantly related to the improvement of democracy, recognition of work, and increased employee performance. It has shown that improving these five key variables can maximize the job satisfaction and motivation of medical staff. The random forest model can maximize the accuracy and effectiveness of similar research.

Occupational Category and Professional Title Influencing the Knowledge, Attitudes and Practice (KAP) of Quality Training: A Cross-Sectional Survey From a Tertiary General Hospital.

Quality improvement is an international priority, and quality education and training are important parts of hospital quality management. The aim of this study was to understand the knowledge, attitudes and practices (KAP) and its influencing factors related to quality training in medical staff. A questionnaire survey was conducted by convenience sampling to assess the KAP of quality training in Taizhou Enze Medical Center. Principal component analysis was used to extract factors from the questionnaire. Descriptive statistics (frequency, median, mean), Kendall grade correlation analysis, and Mann-Whitney U tests were used to analyze the data. A total of 205 staff members participated in the questionnaire survey. For the 5 factors of the KAP scale, the highest score was factor F4, recognition and support for quality training (mean = 90.55, median = 100), followed by factor F3, perceived benefits (mean = 84.46, median = 85.65). Relatively lower scores were found for factor F2, quality knowledge learning and mastery (mean = 63.09, median = 63.89), and F5, quality management practices and sharing (mean = 82.07, median = 75.00). There was a correlation between the 5 factors. The scores of F2 (quality knowledge learning and mastery) for staff with senior professional titles were higher than those for staff with intermediate professional titles or below. The score of F3 (perceived benefits of quality training) in medical technicians and nurses was higher than in doctors and administrative personnel. Our findings showed that the respondents' attitude toward quality training was positive, but their knowledge mastery and practice behaviors should be further improved. Occupational category and professional title were the influencing factors of the quality training KAP. Therefore, hospital should conduct quality management training at a wider scope according to the competency requirements of different groups, and further optimize the improvement and innovation system.

Students' and junior doctors' perspectives on radiology education in medical school: a qualitative study in the Netherlands.

BACKGROUND: Modern medicine becomes more dependent on radiologic imaging techniques. Over the past decade, radiology has also gained more attention in the medical curricula. However, little is known with regard to students' perspectives on this subject. Therefore, this study aims to gain insight into the thoughts and ideas of medical students and junior doctors on radiology education in medical curricula. METHODS: A qualitative, descriptive study was carried out at one medical university in the Netherlands. Participants were recruited on social media and were interviewed following a predefined topic list. The constant comparative method was applied in order to include new questions when unexpected topics arose during the interviews. All interviews were transcribed verbatim and coded. Codes were organized into categories and themes by discussion between researchers. RESULTS: Fifteen participants (nine junior doctors and six students) agreed to join. From the coded interviews, four themes derived from fifteen categories arose: (1) The added value of radiology education in medical curricula, (2) Indispensable knowledge on radiology, (3) Organization of radiology education and (4) Promising educational innovations for the radiology curriculum. CONCLUSION: This study suggests that medical students and junior doctors value radiology education. It provides insights in educational topics and forms for educational improvement for radiology educators.

Satisfaction of patients in government medical teaching institutes of Peshawar Khyber Pakhtunkhwa, Pakistan: a cross-sectional analytical study.

Objective: To evaluate patient satisfaction and its associated factors in teaching hospitals. METHODS: The cross-sectional, analytical study was conducted from September to December 2022 at three publicsector medical teaching hospitals in Peshawar, Pakistan, and comprised adult patients of either admitted to various hospital wards for at least 2 days. Data was collected using a predesigned a closed-ended questionnaire assessing patient satisfaction in different domains like, facilitation at the admission, professional knowledge and skills of the attending doctors, quality of diagnostic and nursing services, and basic amenities. Data was analysed using SPSS version origin Pro 2022a. RESULTS: There were 473 patients with a male-female ratio of 3:1, with mean age 43.3+14.7 years (range: 11-85 years), and mean hospital stay 5.96+3.37 days (range: 2-18 days). Of the 2,365 response statements for facilitation at the admission counter, 2,051(87%) were positive; of the 2,365 statements for attending doctors, 2,012(85%) were positive; of the 2,838 statements for nursing care, 2,122(75%) were positive; of 946 statements for diagnostic services, 627(66%) were positive; and of the 3,311 statements for basic amenities at the hospital, 1,246(38%) were positive. Overall, of the 11,825 response statements, 8058(68%) were positive. The patient satisfaction was significantly co-related with education and hospital stay (p<0.05). Conclusion: Patients were found to be generally satisfied with healthcare services, but not with the provision of basic amenities.

Continuing medical education for attending physicians in anesthesia: Feasibility of an innovative blended learning approach.

Continuing medical education plays a pivotal role in fostering and upholding the standard of excellence in medicine. Both SPOC (small private online course) and BOPPPS (bridge-in, learning objective, pretest, participatory learning, posttest, and summary) methodologies are rooted in the same educational and learning theories, emphasizing active student engagement, interaction, and feedback. Using ultrasound-guided spinal anesthesia as an exemplar, we aimed to investigate the feasibility of blended teaching (combination of BOPPPS and SPOC) for anesthesiology clinicians and explore trainees' and trainers' perspectives towards the innovative method. Twenty-seven attending anesthesiologists were randomly divided into experimental group (n = 14, blended teaching method) and control group (n = 13, traditional teaching method). The questionnaire was administered before and a week post-training. Their operative skills (measured by operation time) were assessed. The students' cognitive evaluation of the blended teaching mode was conducted in the experimental group. The experimental group demonstrated notably higher theoretical scores compared to the control group [(46.42 ±â€…5.345) vs (41.92 ±â€…5.219), t = 2.213, P < .05]. The operation time in the experimental group was significantly shorter than that in the control group [(84.79 ±â€…28.450) seconds vs (114.23 ±â€…35.607) seconds, t = -2.383, P < .05]. Most participants preferred blended learning as it was more effective than traditional learning. Suggestions for enhancement included enhanced online interactivity with trainers and the inclusion of case analysis. Integration of blended teaching incorporating BOPPPS and SPOC methodologies holds promise for enhancing the efficiency of skill training among anesthesiologists. Blended learning may become a viable and well-received option among anesthesia clinicians in China.

Integrating training in evidence-based medicine and shared decision-making: a qualitative study of junior doctors and consultants.

BACKGROUND: In the past, evidence-based medicine (EBM) and shared decision-making (SDM) have been taught separately in health sciences and medical education. However, recognition is increasing of the importance of EBM training that includes SDM, whereby practitioners incorporate all steps of EBM, including person-centered decision-making using SDM. However, there are few empirical investigations into the benefits of training that integrates EBM and SDM (EBM-SDM) for junior doctors, and their influencing factors. This study aimed to explore how integrated EBM-SDM training can influence junior doctors' attitudes to and practice of EBM and SDM; to identify the barriers and facilitators associated with junior doctors' EBM-SDM learning and practice; and to examine how supervising consultants' attitudes and authority impact on junior doctors' opportunities for EBM-SDM learning and practice. METHODS: We developed and ran a series of EBM-SDM courses for junior doctors within a private healthcare setting with protected time for educational activities. Using an emergent qualitative design, we first conducted pre- and post-course semi-structured interviews with 12 junior doctors and thematically analysed the influence of an EBM-SDM course on their attitudes and practice of both EBM and SDM, and the barriers and facilitators to the integrated learning and practice of EBM and SDM. Based on the responses of junior doctors, we then conducted interviews with ten of their supervising consultants and used a second thematic analysis to understand the influence of consultants on junior doctors' EBM-SDM learning and practice. RESULTS: Junior doctors appreciated EBM-SDM training that involved patient participation. After the training course, they intended to improve their skills in person-centered decision-making including SDM. However, junior doctors identified medical hierarchy, time factors, and lack of prior training as barriers to the learning and practice of EBM-SDM, whilst the private healthcare setting with protected learning time and supportive consultants were considered facilitators. Consultants had mixed attitudes towards EBM and SDM and varied perceptions of the role of junior doctors in either practice, both of which influenced the practice of junior doctors. CONCLUSIONS: These findings suggested that future medical education and research should include training that integrates EBM and SDM that acknowledges the complex environment in which this training must be put into practice, and considers strategies to overcome barriers to the implementation of EBM-SDM learning in practice.

Pragmatic trial evaluating the impact of simulation training on high-risk prescribing to older adults by junior physicians.

BACKGROUND: High-risk medications like benzodiazepines, sedative hypnotics, and antipsychotics are commonly prescribed for hospitalized older adults, despite guidelines recommending avoidance. Prior interventions have not fully addressed how physicians make such prescribing decisions, particularly when experiencing stress or cognitive overload. Simulation training may help improve prescribing decision-making but has not been evaluated for overprescribing. METHODS: In this two-arm pragmatic trial, we randomized 40 first-year medical resident physicians (i.e., interns) on inpatient general medicine services at an academic medical center to either intervention (a 40-minute immersive simulation training) or control (online educational training) groups. The primary outcome was the number of new benzodiazepine, sedative hypnotic, or antipsychotic orders for treatment-naïve older adults during hospitalization. Secondary outcomes included the same outcome by all providers, being discharged on one of the medications, and orders for related or control medications. Outcomes were measured using electronic health record data over each intern's service period (~2 weeks). Outcomes were evaluated using generalized estimating equations, adjusting for clustering. RESULTS: In total, 522 treatment-naïve older adult patients were included in analyses. Over follow-up, interns prescribed ≥1 high-risk medication for 13 (4.9%) intervention patients and 13 (5.0%) control patients. The intervention led to no difference in the number of new prescriptions (Rate Ratio [RR]: 0.85, 95%CI: 0.31-2.35) versus control and no difference in secondary outcomes. In secondary analyses, intervention interns wrote significantly fewer "as-needed" ("PRN") order types for the high-risk medications (RR: 0.29, 95%CI: 0.08-0.99), and instead tended to write more "one-time" orders than control interns, though this difference was not statistically significant (RR: 2.20, 95%CI: 0.60-7.99). CONCLUSIONS: Although this simulation intervention did not impact total high-risk prescribing for hospitalized older adults, it did influence how the interns prescribed, resulting in fewer PRN orders, suggesting possibly greater ownership of care. Future interventions should consider this insight and implementation lessons raised. TRIAL REGISTRATION: Clinicaltrials.gov(NCT04668248).

AMU patient list generation: from junior scribe to junior doctor.

This quality improvement project (QIP) aimed to assess the impact of automating patient list generation on the acute medical unit (AMU) at Sandwell and West Birmingham Hospitals NHS Trust. The AMU patient list categorises patients requiring 'clerking', 'post-take' (PTWR) and 'post-post-take' (PPTWR) for the morning ward round. During weekdays, this list need only include the patients in AMU. For weekends, this list must include 'outliers', that is, patients transferred to different wards (which may lack resident medical teams over the weekends) but still requiring PTWR/PPTWR. The list is created by the junior doctor on their night shift, a daily necessity due to the high AMU patient turnover.A pilot study, followed by three complete 'plan-do-study-act' (PDSA) cycles, was conducted over 2021/2022. Cycle 1 (pre-intervention) and cycle 2 (post-intervention) assessed the impact of the generator on weekdays. This was adapted for the weekend over cycles 2 and 3. The process measure assessed was the time taken for list generation. The outcome measure was the total number of patients clerked per night. The balancing measure was doctors' attitudes.The intervention reduced the time taken for list generation by an average of 44.3 min (66.3%) during weekdays and 37.8 min (42%) during weekends. Run charts demonstrated significance for the reduction in weekday list generation time. Both weekdays (63.5% decrease, p<0.00001) and weekends (50.5% decrease, p=0.0007) had significant reductions in total negative attitudes. Both weekdays and weekends had 'time-consuming' as the most frequently selected attitude pre-intervention, whereas 'easy to make' was most frequently selected post-intervention. Some junior doctors reported the generator enabled clerking of extra patients, supported by non-significant increases in the averages for this outcome.This QIP demonstrates how the automation of labour-intensive administrative tasks results in notable time-saving outcomes. Thereby improving doctor attitudes and well-being, and facilitating the delivery of quality patient care.

Improving availability and accuracy of the junior doctors' on-call handover through digitalisation.

Clinical handovers from out-of-hours activity are essential for relaying information about events such as new admissions, outstanding or complete investigations, physical health reviews, ward jobs and risk. This information enables the day team to effectively prioritise and follow-up any necessary tasks.Junior doctors at a hospital site in the London Borough of Newham were aware that the existing handover system, constituted of a word document circulated via email, was lacking robustness and that the handover was not sent out reliably on a daily basis.Quality improvement (QI) methods including process mapping, PDSA ('Plan, Do, Study, Act') cycles, driver diagrams and run charts were used to understand the issue, create a more robust process and measure the improvements made, all supported by regular QI project meetings. The change ideas included moving from an informal Microsoft (MS) Word document, which was emailed out, to an Excel spreadsheet stored centrally on MS Teams. Column headers were added for admissions, ward jobs, seclusion reviews, matters relating to mental health law and Accident and Emergency (A&E) assessments, as well as defined columns for outstanding jobs and standard tasks that need to be completed for all admissions. Responsibility for circulating the handover list was given to the incoming day duty doctor if the night doctor was too busy, with admin support to chase the circulation of the handover. Results were studied for the following 18 months.The percentage of handovers being appropriately sent out increased from a median of 80% to 100% during the project period, and the availability of handover data where the data were visible to doctors on MS Teams but had not been sent out also increased from a median of 80% to 100%. The system was deemed safe, effective and easy to use, and has already been replicated at neighbouring hospitals.