METHODS: This was a cross-sectional study conducted over a period of 18 months. A self-administered questionnaire assessing knowledge and perception regarding neonatal pain was used.
RESULTS: Twenty-four hospitals participated in the study, with 423 respondents. The response rate was 85%. One hundred and ninety-seven respondents (47%) were aware of tools for neonatal pain assessment, but only 6% used them in daily practice. Doctors with >4 years of experience in neonatal care had better awareness of available pain assessment tools (59.4% vs 40.9%, P = 0.001). Sixteen statements regarding knowledge were assessed. Mean score obtained was 10.5 ± 2.5. Consultants/specialists obtained a higher mean score than medical officers (11.9 vs 10.4, P < 0.001). More than 80% of respondents were able to discriminate painful from non-painful procedures.
CONCLUSION: Clinicians involved in neonatal care, especially those with longer experience were knowledgeable about neonatal pain. Gaps between knowledge and its application, however, remain. Implementation of clinical guidelines to improve the quality of assessment and adequate pain management in neonates is recommended.
METHODS: Medical claims records from February 2019 to February 2020 were extracted from a health insurance claims database. Data cleaning and data analysis were performed using Python 3.7 with the Pandas, NumPy and Matplotlib libraries. The top five most common diagnoses were identified, and for each diagnosis, the most common medication classes and medications prescribed were quantified. Potentially inappropriate prescribing practices were identified by comparing the medications prescribed with relevant clinical guidelines.
KEY FINDINGS: The five most common diagnoses were upper respiratory tract infection (41.5%), diarrhoea (7.7%), musculoskeletal pain (7.6%), headache (6.7%) and gastritis (4.0%). Medications prescribed by general practitioners were largely as expected for symptomatic management of the respective conditions. One area of potentially inappropriate prescribing identified was inappropriate antibiotic choice. Same-class polypharmacy that may lead to an increased risk of adverse events were also identified, primarily involving multiple paracetamol-containing products, non-steroidal anti-inflammatory drugs (NSAIDs), and antihistamines. Other areas of non-adherence to guidelines identified included the potential overuse of oral corticosteroids and oral salbutamol, and inappropriate gastroprotection for patients receiving NSAIDs.
CONCLUSIONS: While prescribing practices are generally appropriate within the private primary care sector, there remain several areas where some potentially inappropriate prescribing occurs. The areas identified should be the focus in continuing efforts to improve prescribing practices to obtain the optimal clinical outcomes while reducing unnecessary risks and healthcare costs.
Methods: A cross-sectional study design was used to enroll 600 eligible respondents using stratified sampling from 6 public hospitals in Penang, Malaysia. A validated self-administered questionnaire was used for data collection. Descriptive and inferential analysis was performed with statistical significance defined as p
METHODS: A literature review of existing studies related to HIE efforts from 2005 was undertaken. Four electronic research databases (PubMed, Web of Science, CINAHL, and Academic Search Premiere) were searched for articles addressing different phases of HIE assimilation process.
RESULTS: Two hundred and fifty-four articles were initially selected. Out of 254, 44 studies met the inclusion criteria and were reviewed. The assimilation of HIE is a complicated and a multi-staged process. Our findings indicated that HIE assimilation process consisted of four main phases: initiation, organizational adoption decision, implementation and institutionalization. The data helped us recognize the assimilation pattern of HIE in healthcare organizations.
CONCLUSIONS: The results provide useful theoretical implications for research by defining HIE assimilation pattern. The findings of the study also have practical implications for policy makers. The findings show the importance of raising national awareness of HIE potential benefits, financial incentive programs, use of standard guidelines, implementation of certified technology, technical assistance, training programs and trust between healthcare providers. The study highlights deficiencies in the current policy using the literature and identifies the "pattern" as an indication for a new policy approach.
METHODS: A qualitative study was conducted among patients and primary care trainees (known henceforth as doctors). Patients aged ≥ 60 years, having ≥ 1 chronic disease and prescribed ≥ 5 medications and could communicate in either English or Malay were recruited. Doctors and patients were purposively sampled based on their stage of training as family medicine specialists and ethnicity, respectively. All interviews were audio-recorded and transcribed verbatim. A thematic approach was used to analyse data.
RESULTS: Twenty-four in-depth interviews (IDIs) with patients and four focus group discussions (FGDs) with 23 doctors were conducted. Four themes emerged: understanding the concept of deprescribing, the necessity to perform deprescribing, concerns regarding deprescribing and factors influencing deprescribing. Patients were receptive to the idea of deprescribing when the term was explained to them, whilst doctors had a good understanding of deprescribing. Both patients and doctors would deprescribe when the necessity outweighed their concerns. Factors that influenced deprescribing were doctor-patient rapport, health literacy among patients, external influences from carers and social media, and system challenges.
CONCLUSION: Deprescribing was deemed necessary by both patients and doctors when there was a reason to do so. However, both doctors and patients were afraid to deprescribe as they 'didn't want to rock the boat'. Early-career doctors were reluctant to deprescribe as they felt compelled to continue medications that were initiated by another specialist. Doctors requested more training on how to deprescribe medications.
Objectives: The present study aims to explore the hurdles in cultivating humanistic physicians in the clinical setting.
Methods: We conducted a qualitative study involving medical students in the clinical phase, as well as residents, clinical teachers, and module administrators in the clinical setting under study.
Results: Respondents from different groups of stakeholders shared the same definition for 'humanistic physician': a physician who provides patient-centred care while demonstrating empathy, respect, compassion, integrity, knowledge, competence and a collaborative spirit. Despite changes in the healthcare system and technological advancements, humanistic physicians are still needed.
Conclusion: Cultivating humanistic physicians is a complex process, requiring various methods and assessments. Role models play a significant role in this process, which included not only clinical teachers but also peers. Feedback from peers was perceived as an important factor. The key hurdles identified were negative role models, and a less humanistic learning environment and the students' personal backgrounds.
METHODS: Data for 91 countries were obtained from United Nations agencies. The response variable was life expectancy, and the determinant factors were demographic events (total fertility rate and adolescent fertility rate), socioeconomic status (mean years of schooling and gross national income per capita), and health factors (physician density and human immunodeficiency virus [HIV] prevalence rate). Path analysis was used to determine the direct, indirect, and total effects of these factors on life expectancy.
RESULTS: All determinant factors were significantly correlated with life expectancy. Mean years of schooling, total fertility rate, and HIV prevalence rate had significant direct and indirect effects on life expectancy. The total effect of higher physician density was to increase life expectancy.
CONCLUSIONS: We identified several direct and indirect pathways that predict life expectancy. The findings suggest that policies should concentrate on improving reproductive decisions, increasing education, and reducing HIV transmission. In addition, special attention should be paid to the emerging need to increase life expectancy by increasing physician density.