Search

Background: There is growing global interest into the attitudes and clinical management of persons who deliberately self-harm. People who self-harm experience many problems and typically have many needs related to management of their psychological wellbeing. A positive attitude amongst general hospital staff should prevail with people who self-harm. The principal purpose was to determine student staff attitudes towards patients who self-harmed from a professional and cultural perspective, which might influence patient treatment following hospital admission. The focus concentrated upon staff knowledge, attitudes and beliefs regarding self-harm. Methods: A cross sectional survey of the hospital staff using a validated questionnaire was carried out. This paper reports on interdisciplinary staff from two large general hospitals in Mysuru, South India (n=773). Results: Findings suggest that within a general hospital setting there is wide variation in staff attitudes and knowledge levels related to self-harm. Whilst there is attitudinal evidence for staff attitudes, this study investigates interprofessional differences in an attempt to progress treatment approaches to a vulnerable societal group. Very few staff had any training in assessment of self harm survivors. Conclusion: There is an urgent need for training general hospital staff in self harm assessment and prevention in south India. The results allow a series of recommendations for educational and skills initiatives before progressing to patient assessment and treatment projects and opens potential for cross cultural comparison studies. In addition, interventions must focus on current resources and contexts to move the evidence base and approaches to patient care forward. [ABSTRACT FROM AUTHOR]

Burn registers provide important data that can track injury trends and evaluate services. Burn registers are concentrated in high-income countries, but most burn injuries occur in low- and middle-income countries where surveillance data are limited. Injury surveillance guidance recommends utilisation of existing routinely collected data where data quality is adequate, but there is a lack of guidance on how to achieve this. Our aim was to develop a rigorous and reproducible method to establish an electronic burn register from existing routinely collected data that can be implemented in low resource settings. Data quality of handwritten routinely collected records (register books) from a tertiary government hospital burn unit in Mysore, India was assessed prior to digitisation. Process mapping was conducted for burn patient presentations. Register and casualty records were compared to assess the case ascertainment rate. Register books from February 2016 to February 2022 were scanned and anonymised. Scans were quality checked and stored securely. An online data entry form was developed. All data underwent double verification. Process mapping suggested data were reliable, and case ascertainment was 95%. 1930 presentations were recorded in the registers, representing 0.84% of hospital all-cause admissions. 388 pages were scanned with 4.4% requiring rescanning due to quality problems. Two-step verification estimated there to be errors remaining in 0.06% of fields following data entry. We have described, using the example of a newly established electronic register in India, methods to assess the suitability and reliability of existing routinely collected data for surveillance purposes, to digitise handwritten data, and to quantify error during the digitisation process. The methods are likely to be of particular interest to burn units in countries with no active national burns register. We strongly recommend mobilisation of resources for digitisation of existing high quality routinely collected data as an important step towards developing burn surveillance systems in low resource settings. • We detail how to use routinely collected data for a new electronic burn register. • Methods include how to assess data quality, digitise data, and complete verification. • Process mapping should be used to detail potential sources of selection bias. • Two-step verification yielded very low error rates (6 errors in 10,000 fields). • Data presented utilising these methods would adhere to STROBE and RECORD guidance. [ABSTRACT FROM AUTHOR]