PurposeInteractive cognitive-motor training (ICMT) requires individuals to perform both gross motor movements and complex information processing. This study investigated the effectiveness of ICMT on cognitive functions associated with falls in older adults.MethodsA single-blinded randomized controlled trial was conducted in community-dwelling older adults (N = 90, mean age 81.5±7) without major cognitive impairment. Participants in the intervention group (IG) played four stepping games that required them to divide attention, inhibit irrelevant stimuli, switch between tasks, rotate objects and make rapid decisions. The recommended minimum dose was three 20-minute sessions per week over a period of 16 weeks unsupervised at home. Participants in the control group (CG) received an evidence-based brochure on fall prevention. Measures of processing speed, attention/executive function (EF), visuo-spatial ability, concerns about falling and depression were assessed before and after the intervention.ResultsEighty-one participants (90%) attended re-assessment. There were no improvements with respect to the Stroop Stepping Test (primary outcome) in the intervention group. Compared to the CG, the IG improved significantly in measures of processing speed, visuo-spatial ability and concern about falling. Significant interactions were observed for measures of EF and divided attention, indicating group differences varied for different levels of the covariate with larger improvements in IG participants with poorer baseline performance. The interaction for depression showed no change for the IG but an increase in the CG for those with low depressive symptoms at baseline. Additionally, low and high-adherer groups differed in their baseline performance and responded differently to the intervention. Compared to high adherers, low adherers improved more in processing speed and visual scanning while high-adherers improved more in tasks related to EF.ConclusionsThis study shows that unsupervised stepping ICMT led to improvements in specific cognitive functions associated with falls in older people. Low adherers improved in less complex functions while high-adherers improved in EF.Trial RegistrationAustralian New Zealand Clinical Trials Registry ACTRN12613000671763

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This study aimed to test the utility of the Long-Term Care Quality-of-Life assessment scale within community home care contexts and to compare the scale against the World Health Organization Quality-of-Life scale in terms of reliability and validity. Both scales were administered concurrently to 109 older adults receiving home care. Analysis revealed the Long-Term Care Quality-of-Life scale to have good test-retest reliability, modest but acceptable internal consistency, and pairwise comparison between the Long-Term Care Quality-of-Life and World Health Organization Quality-of-Life scales' scores suggesting moderate-to-strong correlation of criterion validity and comparability between scales. The results showed that the assessment of individual perceptions of life quality within home care contexts can be monitored and recorded, and that Long-Term Care Quality-of-Life scale monitoring in home and residential care can identify opportunities for quality-of-life support and care continuity, even with transitions between care services and systems. The implications of the present study lie in having access to a validated quality-of-life assessment scale that can be used across care contexts to support evidence-based practice, continuity of care, and acknowledgement of individual circumstances in services and care planning. K E Y W O R D S community care, evidence-based practice, home care, long-term care, Long-Term Care Quality-of-Life scale, quality-of-life assessment 1 | INTRODUCTION General awareness of quality of life (QoL), a term first coined in the early 20th century, has been of ongoing interest to service providers, health professionals, patients, and their families since the 1960s (Wood-Dauphinee, 1999). Researchers have refined the concept of QoL and developed theoretical models to explain how individual measures, with methodologic rigor and practical applications, can fit within care services' contexts (Henchoz et al., 2017). Borowiak and Kostka (2004) note that policies and programs are increasingly focused on finding ways to improve life quality, rather than just extending the length of life. The increasing likelihood of an older person moving between services to obtain care and support means that reliable tools need to be available for the consistent assessment of their reactions to their surroundings across all care contexts. Stakeholders also have an interest in ensuring that government-funding subsidies are used appropriately; therefore, most national funding systems include regulatory frameworks that assess clinical care quality, and more recently, report on patient experiences of life quality because of where they are and the services they receive. The Long-Term Care QoL (LTC-QoL) scale was developed, tested, and published to provide a life quality assessment suitable for people

This study determined the impact of a computerized care documentation system on client outcomes, regulatory compliance, and staff workloads after 3 years of use. The survey was conducted at an 800-bed aged care facility, and staff using the computerized care system were invited to participate (n = 112). The survey was an adapted version of the Nurses Computer Attitudes to Technology Inventory, which was refined to make it relevant to the aged care workplace. Four multiple regression models were produced, assessing the impact of the computerized care management system on staff and workload; time; accuracy, and regulatory data; and resident care. The analysis showed that the perceived benefits of the computerized system were influenced by personal attitudes towards computer use and feelings of empowerment related to the computer system. Even those with poor computer skills and feelings of insecurity about using computers believed that there were significant benefits to be gained by using the system. This result has implications with regards to the training and recruitment of staff in the aged care sector, as facilities introduce computerized care systems.