Protocol for establishing a model for integrated influenza surveillance in Tamil Nadu, India.

The potential for influenza viruses to cause public health emergencies is great. The World Health Organisation (WHO) in 2005 concluded that the world was unprepared to respond to an influenza pandemic. Available surveillance guidelines for pandemic influenza lack the specificity that would enable many countries to establish operational surveillance plans. A well-designed epidemiological and virological surveillance is required to strengthen a country's capacity for seasonal, novel, and pandemic influenza detection and prevention. Here, we describe the protocol to establish a novel mechanism for influenza and SARS-CoV-2 surveillance in the four identified districts of Tamil Nadu, India. This project will be carried out as an implementation research. Each district will identify one medical college and two primary health centres (PHCs) as sentinel sites for collecting severe acute respiratory infections (SARI) and influenza like illness (ILI) related information, respectively. For virological testing, 15 ILI and 10 SARI cases will be sampled and tested for influenza A, influenza B, and SARS-CoV-2 every week. Situation analysis using the WHO situation analysis tool will be done to identify the gaps and needs in the existing surveillance systems. Training for staff involved in disease surveillance will be given periodically. To enhance the reporting of ILI/SARI for sentinel surveillance, trained project staff will collect information from all ILI/SARI patients attending the sentinel sites using pre-tested tools. Using time, place, and person analysis, alerts for abnormal increases in cases will be generated and communicated to health authorities to initiate response activities. Advanced epidemiological analysis will be used to model influenza trends over time. Integrating virological and epidemiological surveillance data with advanced analysis and timely communication can enhance local preparedness for public health emergencies. Good quality surveillance data will facilitate an understanding outbreak severity and disease seasonality. Real-time data will help provide early warning signals for prevention and control of influenza and COVID-19 outbreaks. The implementation strategies found to be effective in this project can be scaled up to other parts of the country for replication and integration.

Assessment of unintentional childhood injuries and associated factors in the pediatric clinics of a tertiary care hospital in Riyadh, Saudi Arabia.

BACKGROUND: Although unintentional childhood injuries are a major cause of morbidity, there is a dearth of literature on the issue in Saudi Arabia. The aim of this study was to assess the prevalence of unintentional childhood injuries in Saudi children, safety of their home environment, and the parents' attitude toward home safety measures. MATERIALS AND METHODS: A cross-sectional survey was conducted in a consecutive sample of parents accompanying children aged ≤12 years to the pediatric outpatient clinics of a tertiary care hospital in Riyadh, Saudi Arabia. A validated self-administered questionnaire was used for data collection. Data was analysed using SPSS; Chi-square test and t-test were used to identify variables associated with injury in the preceding 12 months. Logistic regression analysis performed to identify the significant variables associated with injury after contolling for other variables. RESULTS: A total of 283 participants were enrolled. The prevalence of unintentional childhood injuries was 24.7% in the past 12 months. The majority of these injuries occurred at home (74.3%). Accidental falls were the most reported (62.9%) cause of injury followed by burns (22.9%). Being a male child, attending a nursery or kindergarten, and having parents who kept hazardous objects within the reach of children were found to be significantly associated with higher odds of injury. CONCLUSION: The prevalence of unintentional childhood injuries was high in the study population. Significant gaps were found between parents' reported knowledge and practice. Focused educational programs to improve home safety will be valuable in reducing this burden.

Patient-rated physicians' empathy and its determinants in Riyadh, Saudi Arabia.

BACKGROUND: Patients' perception of their physician's empathy influences their compliance with treatment and the resulting quality of life. We aimed to measure the patient-rated empathy of physicians and to determine patient-level factors associated with it. MATERIALS AND METHODS: This hospital-based cross-sectional study enrolled adult (≥18 years) patients attending the outpatient clinics of the departments of family medicine, internal medicine, and surgery. We measured patients' rating of their physician's empathy using the Jefferson Scale of Patient's Perception of Physician Empathy questionnaire. Data were analyzed using SPSS v 23.0; categorical variables were presented as frequencies and percentages, and all quantitative variables were presented as mean and SD. Associations were explored by Chi-square test and Student's t-test. Regression analysis was performed to identify factors significantly associated with the empathy score; P< 0.05 was considered statistically significant. RESULTS: Of a total of 390 patients with a mean (standard deviation [SD]) age of 40.5 (13.6) years, 189 (48.5%) were male. The mean (SD) total patient-rated physician empathy score was 26.6 (6.0). Multilevel linear regression modeling revealed that having a health professional in the family, suffering from an acute illness (as compared to chronic illness), consulting a physician recommended by relatives/friends, trusting the physicians' expertise, shorter (<10 min) waiting time, and perceived adequate consultation time were associated with higher empathy ratings. CONCLUSIONS: Patients' perception of physicians' empathy is indispensable for the success of a clinical consultation. It is influenced by patient-level social and clinical factors. On-the-job physician training in empathy, effective monitoring, and feedback mechanisms should be an integral component of the quality control of hospital services.