The burden of hospital admissions for skeletal dysplasias in Sri Lanka: a population-based study.

BACKGROUND: Skeletal dysplasias are a diverse group of rare disorders in the chondro-osseous tissue that can have a significant impact on patient's functionality. The worldwide prevalence of skeletal dysplasias at birth is approximately 1:5000 births. To date, disease burden and trends of skeletal dysplasias in the Sri Lankan population have not been described in any epidemiological study. Our aim was to evaluate the burden and the current trends in hospital admissions for skeletal dysplasias in the Sri Lankan population. A retrospective evaluation of hospital admissions for skeletal dysplasia during 2017-2020 was performed using population-based data from the eIMMR database which covers government hospitals in the entire country. The trends in hospital admissions for skeletal dysplasias by calendar year, age, and types of skeletal dysplasia were described using appropriate summary statistics. RESULTS: Respective crude admission rates of skeletal dysplasias in the years 2017, 2018, 2019 and 2020 were 5.2, 8.1, 8.0, and 6.5 per million population. A female predominance (1.4:1) was noted during the studied period. Of all reported cases the majority (n = 268; 44.2%) were children less than 4 years. Each year, 0-4 years age group represented 40-47% of the total hospital admissions. More than half of the cases were reported from Colombo (28.1%) and Kandy (25.4%) districts combined. 60% of cases were diagnosed as osteogenesis imperfecta (OI). Rising trends were observed in the hospital admissions for osteogenesis imperfecta, achondroplasia and osteopetrosis, while other skeletal dysplasia types collectively showed a relatively stable trend. CONCLUSION: This preliminary study revealed a female predominance of skeletal dysplasias and a relatively high admission rate of osteogenesis imperfecta in the Sri Lankan population. A distinct trend was not visible in the studied years probably due to the impact on hospital services due to COVID- Pandemic. Future research on the healthcare burden on families affected by skeletal dysplasia is required to better understand the overall cost of care and identify therapies that reduce admission rates. This study highlights the value of analysing population-based data on rare diseases to improve healthcare in low-resource countries.

Assessment of resilience levels among Sri Lankan nurses: Is there room for improvement?

BACKGROUND: Developing resilience at work is an effective primary preventive measure for occupational stress. The study aimed to adopt a tool and measure current resilience levels and determine the association of work-related characteristics on resilience among Sri Lankan nurses. METHODS: Translated, culturally adapted and validated Resilience at Work Scale- Sinhala version (RAW-S) was used to measure resilience levels in a sample of 855 government nurses from a health district. The mean RAW-S scores were calculated and appropriate cut off points were used to determine the prevalence of 'high', 'moderate' and 'low' resilience. Chi square test was used to determine the associations. RESULTS: The overall mean RAW-S score was 69.6 (95% CI = 68.9-70.3) and the scores ranged from 28.5 to 90.3. Only 28.4% (95% CI = 25.4-31.6) of nurses showed 'high' level of resilience at work, while 55.6% (95% CI = 52.1-58.9) & 16.0% (95% CI = 13.7-18.7) had shown 'moderate' and 'low' levels of resilience respectively. The resilience levels differed significantly (p < 0.05) by type of ward that they work and by work experience. CONCLUSIONS: This was the first study that examined the resilience levels in any health care worker category in Sri Lanka. The need of targeted, well-designed resilience building programme for ever burdened government sector nurses is clearly shown from the results, as more than two thirds of nurses had 'moderate' or 'low' level of resilience, which may not be good enough to combat the constant work stress they face on daily basis.

Health Impact Assessment (HIA): A Comparative Case Study of Sri Lanka and Wales: What Can a Developing Country Learn From the Welsh HIA System?

The health impact assessment (HIA) is increasingly recognized around the world as an effective governance tool to incorporate Health in All Policies to address the wider determinants of health. However, it is still poorly recognized and practiced in many developing countries, including Sri Lanka, where its applicability is most appropriate considering the complexity of social determinants of health and inequalities. This comparative case study aimed to explore the barriers for implementation of HIA in Sri Lanka in the areas of supportive policy framework, institutional infrastructure, capacity-building, and multi-sectoral collaboration and to compare them with a successful HIA system in a developed country (Wales) with a view toward identifying the "best practices" applicable in a developing country context. The case study revealed that there is an emerging government commitment in Sri Lanka to embrace the Health in All Policies approach and much potential in the health system to develop a centrally dedicated expert team with peripheral counterparts and multi-sectoral collaboration, which were the primary pillars of success in the Welsh system. However, there is a great need for capacity-building and for development of country-specific tools, which would facilitate the establishment and sustainability of HIA processes in Sri Lanka.

High resilience leads to better work performance in nurses: Evidence from South Asia.

AIM: To find out how resilience level is related to work performance of nurses. BACKGROUND: Resilience is a developable and teachable skill which helps to recover from adversities and continue functioning above the norm. Though combating negative effects at work such as burnout is widely researched, harnessing positive organisational effects such as work performance through resilience is yet to be well-established. METHODS: Cross-sectional study enrolled 230 nurses from Sri Lanka. The level of resilience at work and performance were assessed using culturally adapted and validated tools. How each resilience subscale predicted the nursing performance was assessed using bivariate correlation and linear regression analysis using ordinary least squares method. RESULTS: The total resilience scale score demonstrated significant and strong positive correlations with all subdomains of nursing performance, as well as with overall performance (p < .05). In linear regression model, six out of seven subscales in resilience scale predicted 70.5% of variance of work performance. CONCLUSION: Higher resilience level at work is associated with better working performance among nurses. IMPLICATIONS FOR NURSING MANAGEMENT: Nursing profession is well-known to be of highly stressful and fostering resilience would be extremely useful as an investment to combat such negative effects, while yielding positive organisational benefits such as better work performance.