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Table 1 AWESSoM studies: general characteristics

From: Optimising function and well-being in older adults: protocol for an integrated research programme in Aotearoa/New Zealand

Study Key concepts Aims Research Design Outcomes
Māori older adults
P Māori community dwelling older adults (age range 55+)
Exercise, nutrition, traditional well-being practices within Te Ao Māori, meditation, stress management, sleep, oral health Modify and extend a family (whānau-based) lifestyle management strategy (Nga Pou o Rongo)
Test scalability & acceptability of Nga Pou o Rongo
Examine utility and potential value to Māori of ADL LifeCurve™ App
Conforms to Mātauranga Māori principles: whānau co-design, culturally safe & relevant, local, timely, affirmative, responsive to individual need) Well-being, physical and social activity & health
First in-depth sleep recordings of older Maori and consideration of sleep in contect of whānau support.
Acceptability and usability of LifeCurve™ App
Pacific elders
P Pacific elders (age range 55+)
Factors associated with ageing well Investigate how Pacific elders are faring across various dimensions of health
Examine utility and potential value of ADL LifeCurve™ App for Pacific elders
Collaborative design with Pacific community partner Collection of data on Pacific health
First representation of sleep health among Pacific elders
At-risk cohort
P 300 Community dwelling older adults at risk of functional decline av. age 60 Māori, 75 non-Māori
Innovative technology, health promotion, behavioural change, hierarchy of function, trajectory of functional decline, independent & combined effect of physical activity, sedentary behaviour, socialisation and oral health on function, health & well-being Adapt a behavioural change tool (LifeCurve™ App) to optimise locality in 2 urban sites
Examine utility of and response to the ADL LifeCurve™ App on function, well-being and quality of life in 300 older adults living in the community.
Evaluate use of LifeCurve™ App to reverse the trajectory of functional decline in participants
Explore the interaction of physical activity, sedentary behaviour, socialisation and oral health on function and well-being.
Mixed methods design. Co-design to modify and develop LifeCurve™AppA for national and local content. Descriptive approach examines: 1) App acceptability, utility & engagment in health promotion activitites; and 2) associations and interactions of key components: physical activity, sedentary behaviour, socialisation, oral health. Pre-post design measures outcomes prior to introduction of LifeCurve™ App and at 12 m. Qualitatively, baseline and post-intervention semi-structured interviews with a diverse group of participants to seek views on App utility.
Process evaluation (realist evaluation)
Interactions between sleep, oral health, physical activity, social connectedness, function, health & well-being
Successful implementation of social connector model
Effect of LifeCurve™ on function, health, well-being.
Effect of LifeCurve™ on sleep, oral health, physical activity, social connectedness, function, health & well-being
Clinically relevant change of ≥1 point on NEADL.
Change ≥2 levels on the LifeCurve hierarchy of function
Residential care
P Residents living in aged residential care
Novel interventions to improve oral health, cognition and sleep Design and implement innovative strategies to improve oral health and cognition including introduction of a dental hygienst and cognitive stimulation theray programme. Pre-post design with 3 month follow up Changes in oral health, cognition, sleep and health status
Estabishment of long term resources and programmes
P Community dwelling older adults, aged care residents (Age 55+; total popluation age 65+)
Patterns of multi-morbidity associated with functional decline and high burden of care. Discern patterns of multi-morbidity associated with trajectory of dependence and high health services utilization
Develop and refine primary care management based on most harmful patterns of multi-morbidity from primary care.
Inform the design strategies for Care Home resident based on the most harmful patterns of multi-morbidity
Descriptive design. Multi-morbidity clusters modelled for each setting and for Māori, Pacific, & European using 2 extant data sources: Compass Health PHO and InterRai. Associations will be examined with hospital outcomes and burden of care. Identify patterns of comorbidities of older adults living in New Zealand.
Idenfity groups more likely to enter aged care facilities and others who are at an increased risk of mortality.
  1. Abbreviations: P population, NEADL Nottingham Extended Activities of Daily Living scale, PHO Primary Health Organisation