Peri, K., Kerse, N., Kiata, L., Wilkinson, T., Robinson, E., Parsons, J., et al. (2008). Promoting independence in residential care: Successful recruitment for a randomized controlled trial. Journal of the American Medical Directors Association, 9(4), 251–256.
Abstract: The aim of this study was to describe the recruitment strategy and association between facility and staff characteristics and success of resident recruitment for the Promoting Independence in Residential Care (PIRC) trial. A global impression of staff willingness to facilitate research was gauged by research nurses, facility characteristics were measured by staff interview. Forty-one (85%) facilities and 682 (83%) residents participated, median age was 85 years (range 65-101), and 74% were women. Participants had complex health problems. Recruitment rates were associated (but did not increase linearly) with the perceived willingness of staff, and were not associated with facility size. Design effects from the cluster recruitment differed according to outcome. The recruitment strategy was successful in recruiting a large sample of people with complex comorbidities and high levels of functional disability despite perceptions of staff reluctance. Staff willingness was related to recruitment success.
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Whitehead, N., Parsons, J., & Dixon, R. (2015). Quality and staffing : is there a relationship in residential aged care? Kai Tiaki Nursing Research, 6(1), 28–35.
Abstract: Explores whether there is a relationship between staffing and quality indicators in residential care of older people, in both rest homes and continuing-care hospitals. Conducts a longitudinal survey of 18 residential-care rest homes and 16 continuing-care hospitals in the greater Auckland region to explore the relationship between direct-care staffing levels, skill mix and quality indicators. Collects data over a 6-month period on type of staffing, including registered nurses, enrolled nurses, and support workers; quality indicators, including falls, new fractures, pressure ulcers, weight loss, urinary tract infections (UTI), poly-pharmacy or multiple medications, presence of indwelling catheters and use of daily restraints. Uses logistic analysis to analyse the inverse relationship between staffing levels and adverse events, and whether there is an association between staff type and the incidence of the five quality indicators.
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