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Associated data for registered nurse leadership in residential aged care homes after hours.
Study 1 utilized a Clinical Leadership Competency Framework (CLCF) self-assessment survey to assess the confidence and competence of Registered Nurses (RNs)in Residential Aged Care Homes (RACHs). The final sample of 100 RNs was selected after applying exclusion criteria. The CLCF self-assessment survey assessed leadership in five domains: demonstrating personal qualities, working with others, managing services, improving services, and setting direction, using demographic data and forty questions.
Study 2,RACHs collect data on a wider range of adverse incidents, strengthening aged care systems, building skills, reviewing incident information, reducing preventable incidents, and ensuring necessary support. Study 2 analysed secondary data on adverse events from 10 RACHs, including medication errors, falls, skin tears/injuries, pressure injuries, abscondments, physical aggression, hospital transfers, burns, and bruises. A total of (n=1560) resident records of adverse events were gathered from 1020 beds with a minimum of 30 and maximum of 140 beds. Ethical approval was obtained from CQU#20869, and consent was obtained from Chief Executive Officer and Chief Operations Officer of the organisation.
The study utilised electronic management systems to gather baseline data on adverse events affecting older adults in RACHs, identifying trends over a 3-month period (January- March 2017). The organisation’s classification system of adverse events data included the date of the incident, time of the incident, a free-text event summary, outcome (near miss or injury), a free-text detailed description. Injury classification (whether first aid or medical treatment was required), bodily location (if injury occurred or a transfer to hospital), mechanisms (factors such as medication, falling or hitting objects that contributed to the event), agency (human, environmental, resident) and potential outcome. If a resident engaged in any physical aggression or abscondment (or near miss). The incident status categories were created to provide detailed information on the outcome and cause of each incident. The researcher validated the source, assessed data quality, and evaluated potential biases or limitations to ensure the reliability and accuracy of secondary data.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Start Date
2017-01-01Finish Date
2017-03-31Open Access
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