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IntroductionChildhood mortality in the emergency setting is disproportionately high in low-income and middle-income countries (LMIC), with limited research dedicated to improving timely interventions, especially for critically ill children during transport. To perform essential prehospital paediatric research, there is a need for a tailored consent process, which reflects the specific needs and concerns of participants in this challenging research context.ObjectiveThe objective is to prospectively investigate stakeholder perceptions and preferences regarding consent processes for a specific paediatric ambulance-based telemedicine trial.MethodsExploratory qualitative study design using face-to-face semistructured interviews and focus group discussions. Data were analysed using thematic analysis. Participants included healthcare providers (paediatric telemedicine physicians and emergency medical technicians) and parents of children who required emergency transportation in Karachi, Pakistan.Results47 participants, ranging from 19 to 47 years old, were involved in in-depth interviews or focus group discussions. The participants comprised 29 healthcare workers and 18 parents. Among them, 9 were women and 38 were men. Expressing diverse attitudes towards different consent methods, the majority recommended a prospective written informed consent approach to build trust and provide legal protection. Participants understood the situational incapacity that occurs in emergency settings, emphasised the importance of keeping the consent brief and recommended a subsequent contact in 2–3 days after the emergency transport to reconfirm consent and answer any questions.ConclusionOur interpretation of the findings revealed that participants preferred a staged consent process for telemedicine trials in LMIC paediatric emergency settings.

Background In response to the COVID-19 pandemic, concerted efforts were made by provincial and federal governments to invest in critical care infrastructure and medical equipment to bridge the gap of resource-limitation in intensive care units (ICUs) across Pakistan. An initial step in creating a plan toward strengthening Pakistan’s baseline critical care capacity was to carry out a needs-assessment within the country to assess gaps and devise strategies for improving the quality of critical care facilities. Methods To assess the baseline critical care capacity of Pakistan, we conducted a series of cross-sectional surveys of hospitals providing COVID-19 care across the country. These hospitals were pre-identified by the Health Services Academy (HSA), Pakistan. Surveys were administered via telephonic and on-site interviews and based on a unique checklist for assessing critical care units which was created from the Partners in Health 4S Framework, which is: Space, Staff, Stuff, and Systems. These components were scored, weighted equally, and then ranked into quartiles. Results A total of 106 hospitals were surveyed, with the majority being in the public sector (71.7%) and in the metropolitan setting (56.6%). We found infrastructure, staffing, and systems lacking as only 19.8% of hospitals had negative pressure rooms and 44.4% had quarantine facilities for staff. Merely 36.8% of hospitals employed accredited intensivists and 54.8% of hospitals maintained an ideal nurse-to-patient ratio. 31.1% of hospitals did not have a staffing model, while 37.7% of hospitals did not have surge policies. On Chi-square analysis, statistically significant differences ( p  < 0.05) were noted between public and private sectors along with metropolitan versus rural settings in various elements. Almost all ranks showed significant disparity between public–private and metropolitan–rural settings, with private and metropolitan hospitals having a greater proportion in the 1st rank, while public and rural hospitals had a greater proportion in the lower ranks. Conclusion Pakistan has an underdeveloped critical care network with significant inequity between public–private and metropolitan–rural strata. We hope for future resource allocation and capacity development projects for critical care in order to reduce these disparities.

Introduction With a growing interest in simulation-based training to develop clinical proficiency, bootcamps have been utilized for imparting basic skills to medical trainees. While considerable research on the topic exists in high income countries, no such neurosurgical teaching standards have been employed in Low- and Middle-Income Countries. Methods We conducted a cross-sectional study to explore the effectiveness of first low-cost, multi-center regional neurosurgery bootcamp in South Asia. Twenty-two participants attended the bootcamp and practiced 12 hands-on skills over the course of 2 days. Burr-holes and craniotomies were done on 3D printed skulls. Lumbar drain insertion was practiced on a purpose-built lumbar puncture mannequin. For laminectomy, we used an in-house designed simulation. The modified Objective Structured Assessment of Technical Skills tool was utilized for skills Assessment. Feedback from faculty and residents was collected via a standard 5-point Likert scale. Results Only one participant (4.55%) had previously attended a neurosurgical skills workshop. Comparison of outcomes on 1 st and 3 rd attempts of cranial and spinal skills showed a significant improvement in all 14 domains assessed ( p <0.05). Positive feedback was received ranging from 3.9 up to 4.8 on a 5-point Likert scale. Overall cost per participant culminated to $145, significantly lower than previously reported data. Conclusion Our findings report the effectiveness of sustainable, low-cost training models which can be easily reproduced elsewhere. These indigenously designed simulators can be modified for variable difficulty level and serve as an effective educational strategy in improving learners’ skills, knowledge and confidence.

Gene selection is an essential step for the classification of microarray cancer data. Gene expression cancer data (deoxyribonucleic acid microarray] facilitates in computing the robust and concurrent expression of various genes. Particle swarm optimization (PSO) requires simple operators and less number of parameters for tuning the model in gene selection. The selection of a prognostic gene with small redundancy is a great challenge for the researcher as there are a few complications in PSO based selection method. In this research, a new variant of PSO (Self-inertia weight adaptive PSO) has been proposed. In the proposed algorithm, SIW-APSO-ELM is explored to achieve gene selection prediction accuracies. This novel algorithm establishes a balance between the exploitation and exploration capabilities of the improved inertia weight adaptive particle swarm optimization. The self-inertia weight adaptive particle swarm optimization (SIW-APSO) algorithm is employed for solution explorations. Each particle in the SIW-APSO increases its position and velocity iteratively through an evolutionary process. The extreme learning machine (ELM) has been designed for the selection procedure. The proposed method has been employed to identify several genes in the cancer dataset. The classification algorithm contains ELM, K-centroid nearest neighbor, and support vector machine to attain high forecast accuracy as compared to the start-of-the-art methods on microarray cancer datasets that show the effectiveness of the proposed method.

Effective communication between physicians and patients plays an integral role in clinical care. Gaps in a physician’s ability to ensure effective communication, especially with patients from diverse backgrounds, are known causes of medical errors. This study explores the potential biases and disparities in patient-resident communication, which may influence a patient’s quality of care. This exploratory qualitative study was conducted at the largest academic medical center in Pakistan. Purposive sampling was used to approach participants from surgery, medicine, obstetrics and gynecology, pediatrics and family medicine. Faculty, fellows and residents working in these departments and medical students in their fourth and fifth years of undergraduate education with prior experience of at least one month in these specialties during their clinical rotations were included. Focus group discussions (FGDs) lasting 45–60 minutes were conducted with each cohort of healthcare professionals separately, using a semi-structured interview guide. Sixty participants (19 males and 41 females, mean age: 32.9, SD: 10.9) took part in the study. Thematic analysis revealed five major themes. Four themes focused on residents’ biases and patient disparities hindering patient-resident communication: (1) patient-resident gender discordance (2) ethnicity and language barriers, (3) differing social class of the patient, and (4) challenging patient-resident interactions (patients resistant to treatment, exceedingly inquisitive and those with multiple attendants, etc.). The fifth theme identified the need for a communication skills curriculum in postgraduate medical education. Opposite gender and discordant socioeconomic/cultural backgrounds of patients pose a challenge to effective patient-physician communication. Self-identification and awareness of residents’ biases when interacting with patients can ensure their active elimination and improve their communication skills. Integrating these components in a standardized curriculum within postgraduate programs can enable resident-physicians to provide the same level of care and communicate more efficiently with patients of all backgrounds.

Background Medical education plays significant role in shaping the future of healthcare, and understanding the career outcomes of medical graduates provides valuable insights into the effectiveness of educational programs. With no published data using alumni surveys in the South Asian region, we set out to conduct a survey to gain insights into the career trajectories, professional milestones, and accomplishments of 35 graduating classes from one of Pakistan’s largest Academic Medical Centers (AMC). Methods An online survey was distributed to 2,177 alumni of the Aga Khan University (AKU), Pakistan who graduated from 1988 to 2021. This cross-sectional survey explored graduates’ higher education, training, practice settings, and four key outcomes: awards, leadership roles, research impact, and contributions to healthcare and educational innovations. A multipronged approach leveraging outreach from leadership, social media engagement, peer-to-peer appeals, event-based promotion, and targeted text reminders to maximize survey participation was employed. Data were analyzed using descriptive statistics, chi-square tests for association, and multivariable logistic and multinomial regression to assess independent predictors of career outcomes. Results 1,201 alumni (55.2%) responded to the survey, demonstrating the effectiveness of this multifaceted approach. After the exclusion of missing data, 862 responses were analyzed. Both genders were equally represented (49.8%). Most participants had completed residency (82.0%) and fellowship (56.0%) training. Nearly half (48.5%) were employed in an academic setting. A proportion (57.7%) of alumni had received awards, and nearly one-third of the respondents (31.6%) were involved in developing healthcare or educational innovations. Over half of the respondents (53.7%) had served in leadership roles, and a number had been involved in research (68.9%), with 18.6% receiving grant funding. While an overwhelming 95% of female respondents were employed, they had lower odds of serving in a leadership role and research involvement than their male counterparts. Conclusion The findings of this study serve as a testament to the effectiveness of AKU’s educational programs in preparing graduates to make significant contributions to healthcare and society. Continuous quality improvement initiatives, fostering a culture of giving back within its alumni, and creating opportunities for females through diverse endeavors can pave the way for sustained and heightened accomplishments among its graduates.

Burnout, characterized by emotional exhaustion (EX), depersonalization (DP), and a reduced sense of personal efficacy (PF) among medical and nursing students can lead to suicidal ideation, lack of empathy, and dropouts. Previous studies have used over-simplified definitions of burnout that fail to capture its complexity. We describe the prevalence of burnout profiles and its risk factors among medical and nursing students. A cross sectional study was conducted at a tertiary care University Hospital in Pakistan. The Maslach Burnout Inventory (MBI) survey was disseminated via SurveyMonkey over a period of 4 months (November 2019 to February 2020) to 482 Medical and 441 nursing students. The MBI tool measures the dimensions of EX, DP, and PF to describe seven burnout profiles. Multivariable regression was used to identify predictors of burnout. The response rate was 92% in nursing and 87.3% in medical students. The prevalence of burnout in medical and nursing students was 16.9% and 6.7% respectively (p<0.001), with 55.7% (n = 427) suffering from at least one burnout profile. Only 32.5% (n = 250) students felt engaged, (42.3% medical, 22.7% nursing students, p<0.001). The most common profile was ineffective (32.5%, n = 250), characterized by a reduced sense of personal efficacy (35.6% medical, 29.4% nursing students; p = 0.065). Medical students were at higher risk of burnout compared to nursing students (OR = 2.49 [1.42, 4.38]; p<0.001) with highest risk observed in year 4 (OR = 2.47 [1.02, 5.99]; p = 0.046). Other risk factors for burnout included occasional drug use (OR = 1.83 [1.21, 8.49]; p = 0.017) and living in a hostel (OR = 1.64 [1.01,2.67]; p = 0.233). Two-thirds of our participants experienced at least one dimension of burnout with the highest prevalence of a reduced sense of PF. Drivers of burnout unique to a lower-middle-income country need to be understood for effective interventions. Faculty training on principles of student evaluation and feedback may be beneficial.

Background Patients perceive effective patient-doctor communication as an important metric when evaluating their satisfaction with health systems. Hence, optimal patient-physician communication is fundamental for quality healthcare. High-income countries (HICs) have extensively studied patient-resident communication. However, there is a dearth of similar studies in low- and middle-income countries (LMICs). Therefore, we aimed to explore the current state of and barriers to practicing good patient-resident communication and explore possible solutions to mitigate these challenges at one of the largest Academic Medical Centers in an LMIC. Methods This study employed an exploratory qualitative study design and was conducted at the Aga Khan University Hospital in Pakistan. Through purposive maximum variation sampling, 60 healthcare workers from diverse cohorts, including attendings, fellows, residents, and medical students, participated in eight focus group discussions. Results We identified three key themes from the data: Status-quo of residents’ communication skills and learning (Poor verbal and non-verbal communication, inadequate training programs, and variable sources of learning), Barriers to effective communication (Institutional barriers such as lack of designated counselling spaces, lack of resident insight regarding effective communication and deficits in intra-team communication), and the need for developing a communication skills curriculum (Design, implementation and scaling to other cohorts of healthcare workers). Conclusions Findings from this study show that multifaceted factors are responsible for inadequate patient resident-physician communication, highlighting the need for and importance of developing a formal communication skills training curriculum for residents. These insights can be used to create standardized training for equipping residents with adequate skills for effectively communicating with patients which can improve healthcare service delivery and patient outcomes.

Introduction In Pakistan, chronic respiratory conditions contribute a large burden of morbidity and mortality. A major reason for this is the lack of availability of local evidence-based clinical practice guidelines (EBCPGs) in Pakistan, particularly at the primary care level. Thus, we developed EBCPGs and created clinical diagnosis and referral pathways for the primary care management of chronic respiratory conditions in Pakistan. Methods The source guidelines were selected by two local expert pulmonologists after a thorough literature review on PubMed and Google Scholar from 2010 to December 2021. The source guidelines covered idiopathic pulmonary fibrosis, asthma, chronic obstructive pulmonary disorders, and bronchiectasis. The GRADE-ADOLOPMENT process consists of three key elements: adoption (using recommendations as is or with minor changes), adaptation (effective context-specific changes to recommendations) or additions (including new recommendations to fill a gap in the EBCPG). We employed the GRADE-ADOLOPMENT process to adopt, adapt, adopt with minor changes, or exclude recommendations from a source guideline. Additional recommendations were added to the clinical pathways based on a best-evidence review process. Results 46 recommendations were excluded mainly due to the unavailability of recommended management in Pakistan and scope beyond the practice of general physicians. Clinical diagnosis and referral pathways were designed for the four chronic respiratory conditions, explicitly delineating the role of primary care practitioners in the diagnosis, basic management, and timely referral of patients. Across the four conditions, 18 recommendations were added (seven for IPF, three for bronchiectasis, four for COPD, and four for asthma). Conclusion The widespread use of the newly created EBCPGs and clinical pathways in the primary healthcare system of Pakistan can help alleviate the morbidity and mortality related to chronic respiratory conditions disease in the country.