Factors Related to, and Effective Interventions for, Vaccination Uptake Among Older Adults in Two Asia-Pacific Countries: A Rapid Review.

This rapid review aims to present a comprehensive overview of barriers, facilitators, and effective interventions that promote vaccination uptake by older adults in the Asia-Pacific region. Rapid review methodology was applied, using two databases (PubMed, Embase). Articles were included if studies were conducted in Australia, Singapore, Indonesia, and the Philippines; included human population ≥50 years of age, and was published from 2016 to August 2022. Related articles were not found from Indonesia and Philippines. A total of 23 articles met the inclusion criteria, with 19 reporting on barriers and facilitators, whereas, four articles reported effective interventions to promote vaccination uptake. Among the 19 studies that identified barriers and facilitators to vaccination uptake, the more common factors were social influences (n = 8/19), perceived benefits of vaccine (n = 7/19), and perceived vaccine safety (n = 6/19). Interventions that focused on supporting clinicians were found to be effective in leading them to recommend vaccinations among older adults, such as creating awareness on the low baseline vaccination rates among older adults, provision of structured health assessment, and nurse reminders. More studies are needed to ascertain the barriers and facilitators to uptake, as well as to identify effective interventions influencing vaccine uptake among older adults in the Asia-Pacific region.

A Vital Signs Telemonitoring Programme Improves the Dynamic Prediction of Readmission Risk in Patients with Heart Failure.

Heart failure (HF) is a leading cause of hospital readmissions. There is great interest in approaches to efficiently predict emerging HF-readmissions in the community setting. We investigate the possibility of leveraging streaming telemonitored vital signs data alongside readily accessible patient profile information for predicting evolving 30-day HF-related readmission risk. We acquired data within a non-randomized controlled study that enrolled 150 HF patients over a 1-year post-discharge telemonitoring and telesupport programme. Using the sequential data and associated ground truth readmission outcomes, we developed a recurrent neural network model for dynamic risk prediction. The model detects emerging readmissions with sensitivity > 71%, specificity > 75%, AUROC ~80%. We characterize model performance in relation to telesupport based nurse assessments, and demonstrate strong sensitivity improvements. Our approach enables early stratification of high-risk patients and could enable adaptive targeting of care resources for managing patients with the most urgent needs at any given time.

Effectiveness of telemonitoring-enhanced support over structured telephone support in reducing heart failure-related healthcare utilization in a multi-ethnic Asian setting.

AIMS: Our study aimed to compare the effectiveness of telemonitoring over structured telephone support in reducing heart failure-related healthcare utilization. METHODS: This was a non-randomised controlled study comparing 150 recently discharged heart failure patients enrolled into telemonitoring and 55 patients who only received structured telephone support after rejecting telemonitoring. Patient activation, knowledge and self-management levels were measured at baseline and the one year upon programme completion using the Patient Activation Measure, the Dutch Heart Failure Knowledge Scale and the Self-Care of Heart Failure Index respectively. Differences in heart failure-related and all-cause hospitalization rates, total bed days and mortality rates at 180 days and at one year, knowledge and self-management scores and total cost of care between groups at one year were analysed. RESULTS: Average age of telemonitoring was 57.9 years and 63.9 years for structured telephone support. Significant difference in adjusted 180-day all-cause bed days (telemonitoring: five days versus structured telephone support: 9.8 days), heart failure-related bed days (telemonitoring: 1.2 days versus structured telephone support: six days) and adjusted one-year heart failure-related bed days (telemonitoring: 2.2 days versus structured telephone support: 6.6 days) were observed. Telemonitoring was associated with reduced all-cause one-year mortality (hazard ratio 0.32, p = 0.02). Estimated mean maintenance and confidence scores were significantly higher in the telemonitoring group at one year. No differences in all-cause and HF-related readmission rates and knowledge levels were observed. The one-year total cost of care was predicted to be Singapore dollars (SG$) 2774.4 lower (p = 0.07) in telemonitoring. CONCLUSION: In conclusion, telemonitoring was associated with lower all-cause and heart failure-related total bed days at 180 days, lower heart failure-related total bed days and total cost of care at one year as compared with structured telephone support.

The health-related quality of life of junior doctors.

INTRODUCTION: It is reported that junior doctors experience a large amount of work related stress and fatigue which has detrimental effects on their well-being and patient safety. We seek to determine the health-related quality of life (HR-QoL) of junior doctors using the Short Form 36 Health Survey (SF-36) and compare their HR-QoL with that of populations of norms and senior doctors. MATERIALS AND METHODS: The SF-36v2 (Singapore version) was self-administered to a convenience sample of 213 doctors from a large tertiary teaching hospital. Junior doctors were defined as those less than 30 years of age (48%). Adjusted normative values were derived from the SF-36 Norms for the Singapore General Population Calculator for all 8 scales. The mean score differences between junior doctors and their adjusted normative values as well as that for senior doctors were computed and contrasted. RESULTS: One hundred and eighty-fi ve doctors fully responded. Their mean age was 33.6 years (SD 8.1). Also, 45% were female and 88% were Chinese. Junior doctors had lower scores than senior doctors in all scales except Physical Functioning. After adjustment for gender and race, junior doctors had statistically significant lower Mental Health scores than senior doctors (P = 0.01). Compared with the normative population, junior doctors scored lower in all domains except for Physical Functioning. For Vitality, the difference is - 14.9. CONCLUSION: Junior doctors have poorer mental health scores compared to senior doctors. Also, the lower vitality scores suggest that junior doctors are more likely to be fatigued than their normative population. More studies and efforts will be needed to identify factors that affect the quality of life in junior doctors and to evaluate the most appropriate measures to improve the efficiency of their work.