Seasonal variations in acute diverticular disease hospitalisations in New Zealand.

PURPOSE: Seasonal variation of acute diverticular disease is variably reported in observational studies. This study aimed to describe seasonal variation of acute diverticular disease hospital admissions in New Zealand. METHODS: A time series analysis of national diverticular disease hospitalisations from 2000 to 2015 was conducted among adults aged 30 years or over. Monthly counts of acute hospitalisations' primary diagnosis of diverticular disease were decomposed using Census X-11 times series methods. A combined test for the presence of identifiable seasonality was used to determine if overall seasonality was present; thereafter, annual seasonal amplitude was calculated. The mean seasonal amplitude of demographic groups was compared by analysis of variance. RESULTS: Over the 16-year period, 35,582 hospital admissions with acute diverticular disease were included. Seasonality in monthly acute diverticular disease admissions was identified. The mean monthly seasonal component of acute diverticular disease admissions peaked in early-autumn (March) and troughed in early-spring (September). The mean annual seasonal amplitude was 23%, suggesting on average 23% higher acute diverticular disease hospitalisations during early-autumn (March) than in early-spring (September). The results were similar in sensitivity analyses that employed different definitions of diverticular disease. Seasonal variation was less pronounced in patients aged over 80 (p = 0.002). Seasonal variation was significantly greater among Maori than Europeans (p < 0.001) and in more southern regions (p < 0.001). However, seasonal variations were not significantly different by gender. CONCLUSIONS: Acute diverticular disease admissions in New Zealand exhibit seasonal variation with a peak in Autumn (March) and a trough in Spring (September). Significant seasonal variations are associated with ethnicity, age, and region, but not with gender.

Atrial fibrillation incidence and outcomes in two cohorts of octogenarians: LiLACS NZ.

BACKGROUND: Atrial fibrillation (AF), the most common cardiac arrhythmia in the general population, has significant healthcare burden. Little is known about AF in octogenarians. OBJECTIVE: To describe the prevalence and incidence rate of AF in New Zealand (NZ) octogenarians and the risk of stroke and mortality at 5-year follow-up. DESIGN: Longitudinal Cohort Study. SETTING: Bay of Plenty and Lakes health regions of New Zealand. SUBJECTS: Eight-hundred-seventy-seven (379 indigenous Maori, 498 non-Maori) were included in the analysis. METHODS: AF, stroke/TIA events and relevant co-variates were established annually using self-report and hospital records (and ECG for AF). Cox proportional-hazards regression models were used to determine the time dependent AF risk of stroke/TIA. RESULTS: AF was present in 21% at baseline (Maori 26%, non-Maori 18%), the prevalence doubled over 5-years (Maori 50%, non-Maori 33%). 5-year AF incidence was 82.6 /1000-person years and at all times AF incidence for Maori was twice that of non-Maori. Five-year stroke/TIA prevalence was 23% (22% in Maori and 24% non- Maori), higher in those with AF than without. AF was not independently associated with 5-year new stroke/TIA; baseline systolic blood pressure was. Mortality was higher for Maori, men, those with AF and CHF and statin use was protective. In summary, AF is more prevalent in indigenous octogenarians and should have an increased focus in health care management. Further research could examine treatment in more detail to facilitate ethnic specific impact and risks and benefits of treating AF in octogenarians.

Lonely in a crowd: loneliness in New Zealand retirement village residents.

OBJECTIVES: The number of older people choosing to relocate to retirement villages (RVs) is increasing rapidly. This choice is often a way to decrease social isolation while still living independently. Loneliness is a significant health issue and contributes to overall frailty, yet RV resident loneliness is poorly understood. Our aim is to describe the prevalence of loneliness and associated factors in a New Zealand RV population. DESIGN: A resident survey was used to collect demographics, social engagement, loneliness, and function, as well as a comprehensive geriatric assessment (international Resident Assessment Instrument [interRAI]) as part of the "Older People in Retirement Villages Study." SETTING: RVs, Auckland, New Zealand. PARTICIPANTS: Participants included RV residents living in 33 RVs (n = 578). MEASUREMENTS: Two types of recruitment: randomly sampled cohort (n = 217) and volunteer sample (n = 361). Independently associated factors for loneliness were determined through multiple logistic regression with odds ratios (ORs). RESULTS: Of the participants, 420 (72.7%) were female, 353 (61.1%) lived alone, with the mean age of 81.3 years. InterRAI assessment loneliness (yes/no question) was 25.8% (n = 149), and the resident survey found that 37.4% (n = 216) feel lonely sometimes/often/always. Factors independently associated with interRAI loneliness included being widowed (adjusted OR 8.27; 95% confidence interval [CI] 4.15-16.48), being divorced/separated/never married (OR 4.76; 95% CI 2.15-10.54), poor/fair quality of life (OR 3.37; 95% CI 1.43-7.94), moving to an RV to gain more social connections (OR 1.55; 95% CI 0.99-2.43), and depression risk (medium risk: OR 2.58, 95% CI 1.53-4.35; high risk: OR 4.20, 95% CI 1.47-11.95). CONCLUSION: A considerable proportion of older people living in RVs reported feelings of loneliness, particularly those who were without partners, at risk of depression and decreased quality of life and those who had moved into RVs to increase social connections. Early identification of factors for loneliness in RV residents could support interventions to improve quality of life and positively impact RV resident health and well-being.

Predictive factors for entry to long-term residential care in octogenarian Maori and non-Maori in New Zealand, LiLACS NZ cohort.

BACKGROUND: Long-term residential care (LTC) supports the most vulnerable and is increasingly relevant with demographic ageing. This study aims to describe entry to LTC and identify predictive factors for older Maori (indigenous people of New Zealand) and non-Maori. METHODS: LiLACS-NZ cohort project recruited Maori and non-Maori octogenarians resident in a defined geographical area in 2010. This study used multivariable log-binomial regressions to assess factors associated with subsequent entry to LTC including: self-identified ethnicity, demographic characteristics, self-rated health, depressive symptoms and activities of daily living [ADL] as recorded at baseline. LTC entry was identified from: place of residence at LiLACS-NZ interviews, LTC subsidy, needs assessment conducted in LTC, hospital discharge to LTC, and place of death. RESULTS: Of 937 surveyed at baseline (421 Maori, 516 non-Maori), 77 already in LTC were excluded, leaving 860 participants (mean age 82.6 +/- 2.71 years Maori, 84.6 +/- 0.52 years non-Maori). Over a mean follow-up of 4.9 years, 278 (41% of non-Maori, 22% of Maori) entered LTC; of the 582 who did not, 323 (55%) were still living and may yet enter LTC. In a model including both Maori and non-Maori, independent risks factors for LTC entry were: living alone (RR = 1.52, 95%CI:1.15-2.02), self-rated health poor/fair compared to very good/excellent (RR = 1.40, 95%CI:1.12-1.77), depressive symptoms (RR = 1.28, 95%CI:1.05-1.56) and more dependent ADLs (RR = 1.09, 95%CI:1.05-1.13). For non-Maori compared to Maori the RR was 1.77 (95%CI:1.39-2.23). In a Maori-only model, predictive factors were older age and living alone. For non-Maori, factors were dependence in more ADLs and poor/fair self-rated health. CONCLUSIONS: Non-Maori participants (predominantly European) entered LTC at almost twice the rate of Maori. Factors differed between Maori and non-Maori. Potentially, the needs, preferences, expectations and/or values may differ correspondingly. Research with different cultural/ethnic groups is required to determine how these differences should inform service development.

Does potentially inappropriate prescribing predict an increased risk of admission to hospital and mortality? A longitudinal study of the 'oldest old'.

BACKGROUND: Potentially inappropriate prescribing (PIP) is associated with negative health outcomes, including hospitalisation and mortality. Life and Living in Advanced Age: a Cohort Study in New Zealand (LiLACS NZ) is a longitudinal study of Maori (the indigenous population of New Zealand) and non-Maori octogenarians. Health disparities between indigenous and non-indigenous populations are prevalent internationally and engagement of indigenous populations in health research is necessary to understand and address these disparities. Using LiLACS NZ data, this study reports the association of PIP with hospitalisations and mortality prospectively over 36-months follow-up. METHODS: PIP, from pharmacist applied criteria, was reported as potentially inappropriate medicines (PIMs) and potential prescribing omissions (PPOs). The association between PIP and hospitalisations (all-cause, cardiovascular disease-specific and ambulatory-sensitive) and mortality was determined throughout a series of 12-month follow-ups using binary logistic (hospitalisations) and Cox (mortality) regression analysis, reported as odds ratios (ORs) and hazard ratios (HRs), respectively, and the corresponding confidence intervals (CIs). RESULTS: Full demographic data were obtained for 267 Maori and 404 non-Maori at baseline, 178 Maori and 332 non-Maori at 12-months, and 122 Maori and 281 non-Maori at 24-months. The prevalence of any PIP (i.e. ≥1 PIM and/or PPO) was 66, 75 and 72% for Maori at baseline, 12-months and 24-months, respectively. In non-Maori, the prevalence of any PIP was 62, 71 and 73% at baseline, 12-months and 24-months, respectively. At each time-point, there were more PPOs than PIMs; at baseline Maori were exposed to a significantly greater proportion of PPOs compared to non-Maori (p = 0.02). In Maori: PPOs were associated with a 1.5-fold increase in hospitalisations and mortality. In non-Maori, PIMs were associated with a double risk of mortality. CONCLUSIONS: PIP was associated with an increased risk of hospitalisation and mortality in this cohort. Omissions appear more important for Maori in predicting hospitalisations, and PIMs were more important in non-Maori in predicting mortality. These results suggest understanding prescribing outcomes across and between population groups is needed and emphasises prescribing quality assessment is useful.

Diverticulosis and nine connective tissue disorders: epidemiological support for an association.

Purpose: An underlying connective tissue disorder (CTD) may predispose to formation of intestinal diverticula. We assess the association of diverticulosis with nine selected CTDs, to inform the pathophysiology of diverticula. Methods: A population-based period-prevalence study. Individuals (3.5 million New Zealand residents born 1901-1986) with a health system record 1999-2016 were grouped into those with a hospital diagnosis of diverticulosis or diverticulitis (ICD-10-AM K57), and those without. Also recorded were any hospital diagnoses of nine selected CTDs. The association of exposure to diverticulosis and each CTD was assessed using logistic regressions adjusted for age, gender, ethnicity and region. Results: In all, 85,958 (2.4%) people had a hospital diagnosis of diverticulosis. Hospitalisation with diverticulosis was highly significantly associated with rectal prolapse (adjusted odds ratio [OR] = 3.9), polycystic kidney disease (OR = 3.8), heritable syndromes (Marfan or Ehlers-Danlos) (OR = 2.4), female genital prolapse (OR = 2.3), non-aortic aneurysm (OR = 2.3), aortic aneurysm (OR = 2.2), inguinal hernia (OR = 1.9) and dislocations of shoulder and other joints (OR = 1.7), but not subarachnoid haemorrhage (OR = 1.0). Conclusion: People with diverticulosis are more likely to have colonic extracellular matrix (ECM)/connective tissue alterations in anatomical areas other than the bowel, suggesting linked ECM/connective tissue pathology. Although biases may exist, the results indicate large-scale integrated studies are needed to investigate underlying genetic pathophysiology of colonic diverticula, together with fundamental biological studies to investigate cellular phenotypes and ECM changes.

Patterns of multi-morbidity and prediction of hospitalisation and all-cause mortality in advanced age.

Background: multi-morbidity is associated with poor outcomes and increased healthcare utilisation. We aim to identify multi-morbidity patterns and associations with potentially inappropriate prescribing (PIP), subsequent hospitalisation and mortality in octogenarians. Methods: life and Living in Advanced Age; a Cohort Study in New Zealand (LiLACS NZ) examined health outcomes of 421 Maori (indigenous to New Zealand), aged 80-90 and 516 non-Maori, aged 85 years in 2010. Presence of 14 chronic conditions was ascertained from self-report, general practice and hospitalisation records and physical assessments. Agglomerative hierarchical cluster analysis identified clusters of participants with co-existing conditions. Multivariate regression models examined the associations between clusters and PIP, 48-month hospitalisations and mortality. Results: six clusters were identified for Maori and non-Maori, respectively. The associations between clusters and outcomes differed between Maori and non-Maori. In Maori, those in the complex multi-morbidity cluster had the highest prevalence of inappropriately prescribed medications and in cluster 'diabetes' (20% of sample) had higher risk of hospitalisation and mortality at 48-month follow-up. In non-Maori, those in the 'depression-arthritis' (17% of the sample) cluster had both highest prevalence of inappropriate medications and risk of hospitalisation and mortality. Conclusions: in octogenarians, hospitalisation and mortality are better predicted by profiles of clusters of conditions rather than the presence or absence of a specific condition. Further research is required to determine if the cluster approach can be used to target patients to optimise resource allocation and improve outcomes.

Early discharge hospital at home.

BACKGROUND: Early discharge hospital at home is a service that provides active treatment by healthcare professionals in the patient's home for a condition that otherwise would require acute hospital inpatient care. This is an update of a Cochrane review. OBJECTIVES: To determine the effectiveness and cost of managing patients with early discharge hospital at home compared with inpatient hospital care. SEARCH METHODS: We searched the following databases to 9 January 2017: the Cochrane Effective Practice and Organisation of Care Group (EPOC) register, Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, and EconLit. We searched clinical trials registries. SELECTION CRITERIA: Randomised trials comparing early discharge hospital at home with acute hospital inpatient care for adults. We excluded obstetric, paediatric and mental health hospital at home schemes.   DATA COLLECTION AND ANALYSIS: We followed the standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the body of evidence for the most important outcomes. MAIN RESULTS: We included 32 trials (N = 4746), six of them new for this update, mainly conducted in high-income countries. We judged most of the studies to have a low or unclear risk of bias. The intervention was delivered by hospital outreach services (17 trials), community-based services (11 trials), and was co-ordinated by a hospital-based stroke team or physician in conjunction with community-based services in four trials.Studies recruiting people recovering from strokeEarly discharge hospital at home probably makes little or no difference to mortality at three to six months (risk ratio (RR) 0.92, 95% confidence interval (CI) 0.57 to 1.48, N = 1114, 11 trials, moderate-certainty evidence) and may make little or no difference to the risk of hospital readmission (RR 1.09, 95% CI 0.71 to 1.66, N = 345, 5 trials, low-certainty evidence). Hospital at home may lower the risk of living in institutional setting at six months (RR 0.63, 96% CI 0.40 to 0.98; N = 574, 4 trials, low-certainty evidence) and might slightly improve patient satisfaction (N = 795, low-certainty evidence). Hospital at home probably reduces hospital length of stay, as moderate-certainty evidence found that people assigned to hospital at home are discharged from the intervention about seven days earlier than people receiving inpatient care (95% CI 10.19 to 3.17 days earlier, N = 528, 4 trials). It is uncertain whether hospital at home has an effect on cost (very low-certainty evidence).Studies recruiting people with a mix of medical conditionsEarly discharge hospital at home probably makes little or no difference to mortality (RR 1.07, 95% CI 0.76 to 1.49; N = 1247, 8 trials, moderate-certainty evidence). In people with chronic obstructive pulmonary disease (COPD) there was insufficient information to determine the effect of these two approaches on mortality (RR 0.53, 95% CI 0.25 to 1.12, N = 496, 5 trials, low-certainty evidence). The intervention probably increases the risk of hospital readmission in a mix of medical conditions, although the results are also compatible with no difference and a relatively large increase in the risk of readmission (RR 1.25, 95% CI 0.98 to 1.58, N = 1276, 9 trials, moderate-certainty evidence). Early discharge hospital at home may decrease the risk of readmission for people with COPD (RR 0.86, 95% CI 0.66 to 1.13, N = 496, 5 trials low-certainty evidence). Hospital at home may lower the risk of living in an institutional setting (RR 0.69, 0.48 to 0.99; N = 484, 3 trials, low-certainty evidence). The intervention might slightly improve patient satisfaction (N = 900, low-certainty evidence). The effect of early discharge hospital at home on hospital length of stay for older patients with a mix of conditions ranged from a reduction of 20 days to a reduction of less than half a day (moderate-certainty evidence, N = 767). It is uncertain whether hospital at home has an effect on cost (very low-certainty evidence).Studies recruiting people undergoing elective surgeryThree studies did not report higher rates of mortality with hospital at home compared with inpatient care (data not pooled, N = 856, low-certainty evidence; mainly orthopaedic surgery). Hospital at home may lead to little or no difference in readmission to hospital for people who were mainly recovering from orthopaedic surgery (N = 1229, low-certainty evidence). We could not establish the effects of hospital at home on the risk of living in institutional care, due to a lack of data. The intervention might slightly improve patient satisfaction (N = 1229, low-certainty evidence). People recovering from orthopaedic surgery allocated to early discharge hospital at home were discharged from the intervention on average four days earlier than people allocated to usual inpatient care (4.44 days earlier, 95% CI 6.37 to 2.51 days earlier, , N = 411, 4 trials, moderate-certainty evidence). It is uncertain whether hospital at home has an effect on cost (very low-certainty evidence). AUTHORS' CONCLUSIONS: Despite increasing interest in the potential of early discharge hospital at home services as a less expensive alternative to inpatient care, this review provides insufficient evidence of economic benefit (through a reduction in hospital length of stay) or improved health outcomes.

Ethnic and Gender Differences in Preferred Activities among Maori and non-Maori of Advanced age in New Zealand.

This study explored active aging for older Maori and non-Maori by examining their self-nominated important everyday activities. The project formed part of the first wave of a longitudinal cohort study of aging well in New Zealand. Maori aged 80 to 90 and non-Maori aged 85 were recruited. Of the 937 participants enrolled, 649 answered an open question about their three most important activities. Responses were coded under the World Health Organization's International Classification of Functioning, Disability and Health (ICF), Activities and Participation domains. Data were analyzed by ethnicity and gender for first in importance, and all important activities. Activity preferences for Maori featured gardening, reading, walking, cleaning the home, organized religious activities, sports, extended family relationships, and watching television. Gendered differences were evident with walking and fitness being of primary importance for Maori men, and gardening for Maori women. Somewhat similar, activity preferences for non-Maori featured gardening, reading, and sports. Again, gendered differences showed for non-Maori, with sports being of first importance to men, and reading to women. Factor analysis was used to examine the latent structural fit with the ICF and whether it differed for Maori and non-Maori. For Maori, leisure and household activities, spiritual activities and interpersonal interactions, and communicating with others and doing domestic activities were revealed as underlying structure; compared to self-care, sleep and singing, leisure and work, and domestic activities and learning for non-Maori. These findings reveal fundamental ethnic divergences in preferences for active aging with implications for enabling participation, support provision and community design.

Hospitalisation of older people before and after long-term care entry in Auckland, New Zealand.

INTRODUCTION: global population projections forecast large growth in demand for long-term care (LTC) and acute hospital services for older people. Few studies report changes in hospitalisation rates before and after entry into LTC. This study compares hospitalisation rates 1 year before and after LTC entry. METHODS: the Older Persons' Ability Level (OPAL) study was a 2008 census-type survey of LTC facilities in Auckland, New Zealand. OPAL resident hospital admissions and deaths were obtained from routinely collected national databases. RESULTS: all 2,244 residents (66% = female) who entered LTC within 12 months prior to OPAL were included. There were 3,363 hospitalisations, 2,424 in 12 months before and 939 in 12 months after entry, and 364 deaths. In the 6 to 12 months before LTC entry, the hospitalisation rate/100 person-years was 67.3 (95% confidence interval [CI] 62.5-72.1). Weekly rates then rose steeply to over 450/100 person-years in the 6 months immediately before LTC entry. In the 6 months after LTC entry, the rate fell to 49.1 (CI 44.9-53.3; RR 0.73 (CI 0.65-0.82, P < 0.0001)) and decreased further 6 to 12 months after entry to 41.1 (CI 37.1-45.1; rate ratio [RR] 0.61 (CI 0.54-0.69, P < 0.0001)). CONCLUSIONS: increased hospitalisations a few months before LTC entry suggest functional and medical instability precipitates LTC entry. New residents utilise hospital beds less frequently than when at home before that unstable period. Further research is needed to determine effective interventions to avoid some hospitalisations and possibly also LTC entry.

The 'Big Five'. Hypothesis generation: a multidisciplinary intervention package reduces disease-specific hospitalisations from long-term care: a post hoc analysis of the ARCHUS cluster-randomised controlled trial.

INTRODUCTION: long-term care (LTC) residents have higher hospitalisation rates than non-LTC residents. Rapid decline may follow hospitalisations, hence the importance of preventing unnecessary hospitalisations. Literature describes diagnosis-specific interventions (for cardiac failure, ischaemic heart disease, chronic obstructive pulmonary disease, stroke, pneumonia-termed 'big five' diagnoses), impacting on hospitalisations of older community-dwellers, but few RCTs show reductions in acute admissions from LTC. METHODS: LTC facilities with higher than expected hospitalisations were recruited for a cluster-randomised controlled trial (RCT) of facility-based complex, non-disease-specific, 9-month intervention comprising gerontology nurse specialist (GNS)-led staff education, facility benchmarking, GNS resident review and multidisciplinary discussion of residents selected using standard criteria. In this post hoc exploratory analysis, the outcome was acute hospitalisations for 'big five' diagnoses. Re-randomisation analyses were used for end points during months 1-14. For end points during months 4-14, proportional hazards models are adjusted for within-facility clustering. RESULTS: we recruited 36 facilities with 1,998 residents (1,408 female; mean age 82.9 years); 1,924 were alive at 3 months. The intervention did not impact overall rates of acute hospitalisations or mortality (previously published), but resulted in fewer 'big five' admissions (RR = 0.73, 95% CI = 0.54-0.99; P = 0.043) with no significant difference in the rate of other acute admissions. When considering events occurring after 3 months (only), the intervention group were 34.7% (HR = 0.65; 95% CI = 0.49-0.88; P = 0.005) less likely to have a 'big five' acute admission than controls, with no differences in likelihood of acute admissions for other diagnoses (P = 0.96). CONCLUSIONS: this generic intervention may reduce admissions for common conditions which the literature shows are impacted by disease-specific admission reduction strategies.

Descriptive Epidemiology of Physical Activity Levels and Patterns in New Zealanders in Advanced Age.

BACKGROUND: Little is known about the physical activity levels and behaviors of advanced age New Zealanders. METHODS: A cross-sectional analysis of data from Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ), Te Puawaitanga O Nga Tapuwae Kia ora Tonu, measures of physical activity (PASE) (n = 664, aged 80-90 [n = 254, Maori, aged 82.5(2), n = 410 non-Maori, aged 85(.5)]) was conducted to determine physical activity level (PAL). A substudy (n = 45) was conducted to attain detailed information about PAL and behaviors via the Multimedia Activity Recall for Children and Adults (MARCA) and accelerometry. The main study was analyzed by sex for Maori and non-Maori. RESULTS: Men consistently had higher levels of physical activity than women for all physical activity measures. Sex was significant for different domains of activity.

Progress towards predicting 1-year mortality in older people living in residential long-term care.

BACKGROUND: frail older people living in residential long-term care (LTC) have limited life expectancy. Identifying those with poor prognosis may improve management and facilitate transition to a palliative approach to care. OBJECTIVE: to develop methods for predicting mortality in LTC. DESIGN: a population-based cohort study. SETTING: LTC facilities, Auckland, New Zealand. SUBJECTS: five hundred randomly selected older people in a census-type survey of those living in LTC in 2008. METHODS: mortality data were obtained from New Zealand Ministry of Health. Two methods for assessing mortality risk were developed using demographic, functional and health service information: (i) two geriatricians blinded to identifying data and to mortality, independently reviewed survey, medications and pre-survey hospitalisations data, and grouped residents according to perceived risk of death within 12 months; (ii) multivariate logistic regression model used the same survey and medication items as the geriatricians. RESULTS: for the geriatricians' assessment, each quintile of perceived risk was associated with a significant increase in mortality (P < 0.001). Area under the curve (AUC) for both physicians was 0.64. The logistic regression model included age, gender, assistance with feeding and requiring night attention, all variables which are easily available from LTC records. AUC for the model was 0.70, but when validated against the entire OPAL cohort, it was 0.65. When either or both geriatrician and the model together predicted high risk of death, 1-year mortality was >50%. CONCLUSION: two methods with the potential to identify older people with limited prognosis are described. Use of these methods allowed identification of over half of those who died within 12 months.

Selecting long-term care facilities with high use of acute hospitalisations: issues and options.

BACKGROUND: This paper considers approaches to the question "Which long-term care facilities have residents with high use of acute hospitalisations?" It compares four methods of identifying long-term care facilities with high use of acute hospitalisations by demonstrating four selection methods, identifies key factors to be resolved when deciding which methods to employ, and discusses their appropriateness for different research questions. METHODS: OPAL was a census-type survey of aged care facilities and residents in Auckland, New Zealand, in 2008. It collected information about facility management and resident demographics, needs and care. Survey records (149 aged care facilities, 6271 residents) were linked to hospital and mortality records routinely assembled by health authorities. The main ranking endpoint was acute hospitalisations for diagnoses that were classified as potentially avoidable. Facilities were ranked using 1) simple event counts per person, 2) event rates per year of resident follow-up, 3) statistical model of rates using four predictors, and 4) change in ranks between methods 2) and 3). A generalized mixed model was used for Method 3 to handle the clustered nature of the data. RESULTS: 3048 potentially avoidable hospitalisations were observed during 22 months' follow-up. The same "top ten" facilities were selected by Methods 1 and 2. The statistical model (Method 3), predicting rates from resident and facility characteristics, ranked facilities differently than these two simple methods. The change-in-ranks method identified a very different set of "top ten" facilities. All methods showed a continuum of use, with no clear distinction between facilities with higher use. CONCLUSION: Choice of selection method should depend upon the purpose of selection. To monitor performance during a period of change, a recent simple rate, count per resident, or even count per bed, may suffice. To find high-use facilities regardless of resident needs, recent history of admissions is highly predictive. To target a few high-use facilities that have high rates after considering facility and resident characteristics, model residuals or a large increase in rank may be preferable.

Changes in hospitalisation rates in older people before and after moving to a retirement village.

OBJECTIVES: An increasing proportion of older people live in Retirement Villages ('villages'). This population cites support for health-care issues as one reason for relocation to villages. Here, we examine whether relocation to villages is associated with a decline in hospitalisations. METHODS: Retrospective, before-and-after observational study. SETTING: Retirement villages, Auckland, New Zealand. PARTICIPANTS: 466 cognitively intact village residents (336 [72%] female); mean (SD) age at moving to village was 73.9 (7.7) years. Segmented linear regression analysis of an interrupted time-series design was used. MAIN OUTCOME MEASURES: all hospitalisations for 18 months pre- and postrelocation to village. SECONDARY OUTCOME: acute hospitalisations during the same time periods. RESULTS: The average hospitalisation rate (per 100 person-years) was 44.9 (95% confidence interval [CI] = 36.3-55.6) 18-10 months before village relocation, 58.9 (95% CI = 48.3-72.0) 9-1 months before moving, 47.9 (95% CI = 38.8-59.1) 1-9 months after moving and 62.4 (95% CI = 51.2-76.0) 10-18 months after moving. Monthly average hospitalisation rate (per 100 person-years) increased before relocation to village by an average of 1.2 (95% CI = 0.01-1.57, p = .04) per month from 18 to 1 month before moving, and there was a change in the level of the monthly average hospitalisation rate immediately after relocation (mean difference [MD] = -18.4 per 100 person-years, 95% CI = -32.8 to -4.1, p = .02). The trend change after village relocation did not differ significantly from that before moving. CONCLUSIONS: Although we cannot reliably claim causality, relocation to a retirement village is, for older people, associated with a significant but non-sustained reduction in hospitalisation.

Aged Residential Care Health Utilisation Study (ARCHUS): a randomised controlled trial to reduce acute hospitalisations from residential aged care.

BACKGROUND: For residents of long term care, hospitalisations can cause distress and disruption, and often result in further medical complications. Multi-disciplinary team interventions have been shown to improve the health of Residential Aged Care (RAC) residents, decreasing the need for acute hospitalisation, yet there are few randomised controlled trials of these complex interventions. This paper describes a randomised controlled trial of a structured multi-disciplinary team and gerontology nurse specialist (GNS) intervention aiming to reduce residents' avoidable hospitalisations. METHODS/DESIGN: This Aged Residential Care Healthcare Utilisation Study (ARCHUS) is a cluster- randomised controlled trial (n = 1700 residents) of a complex multi-disciplinary team intervention in long-term care facilities. Eligible facilities certified for residential care were selected from those identified as at moderate or higher risk of resident potentially avoidable hospitalisations by statistical modelling. The facilities were all located in the Auckland region, New Zealand and were stratified by District Health Board (DHB). INTERVENTION: The intervention provided a structured GNS intervention including a baseline facility needs assessment, quality indicator benchmarking, a staff education programme and care coordination. Alongside this, three multi-disciplinary team (MDT) meetings were held involving a geriatrician, facility GP, pharmacist, GNS and senior nursing staff. OUTCOMES: Hospitalisations are recorded from routinely-collected acute admissions during the 9-month intervention period followed by a 5-month follow-up period. ICD diagnosis codes are used in a pre-specified definition of potentially reducible admissions. DISCUSSION: This randomised-controlled trial will evaluate a complex intervention to increase early identification and intervention to improve the health of residents of long term care. The results of this trial are expected in early 2013. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN 12611000187943.

Life and living in advanced age: a cohort study in New Zealand--e Puawaitanga o Nga Tapuwae Kia Ora Tonu, LiLACS NZ: study protocol.

BACKGROUND: The number of people of advanced age (85 years and older) is increasing and health systems may be challenged by increasing health-related needs. Recent overseas evidence suggests relatively high levels of wellbeing in this group, however little is known about people of advanced age, particularly the indigenous Maori, in Aotearoa, New Zealand. This paper outlines the methods of the study Life and Living in Advanced Age: A Cohort Study in New Zealand. The study aimed to establish predictors of successful advanced ageing and understand the relative importance of health, frailty, cultural, social & economic factors to successful ageing for Maori and non-Maori in New Zealand. METHODS/DESIGN: A total population cohort study of those of advanced age. Two cohorts of equal size, Maori aged 80-90 and non-Maori aged 85, oversampling to enable sufficient power, were enrolled. A defined geographic region, living in the Bay of Plenty and Lakes District Health Board areas of New Zealand, defined the sampling frame. Runanga (Maori tribal organisations) and Primary Health Organisations were subcontracted to recruit on behalf of the University. Measures--a comprehensive interview schedule was piloted and administered by a trained interviewer using standardised techniques. Socio-demographic and personal history included tribal affiliation for Maori and participation in cultural practices; physical and psychological health status used standardised validated research tools; health behaviours included smoking, alcohol use and nutrition risk; and environmental data included local amenities, type of housing and neighbourhood. Social network structures and social support exchanges are recorded. Measures of physical function; gait speed, leg strength and balance, were completed. Everyday interests and activities, views on ageing and financial interests complete the interview. A physical assessment by a trained nurse included electrocardiograph, blood pressure, hearing and vision, anthropometric measures, respiratory function testing and blood samples. DISCUSSION: A longitudinal study of people of advanced age is underway in New Zealand. The health status of a population based sample of older people will be established and predictors of successful ageing determined.

The prevalence and intensity of pain in older people living in retirement villages in Auckland, New Zealand.

Chronic pain is common in older people. However, little is known about how pain is experienced in residents of retirement villages ('villages'), and how pain intensity and associations are experienced in relation to characteristics of residents and village living. We thus aimed to examine pain levels, prevalence and associated factors in village residents. The current paper is a cross-sectional analysis of baseline data from the 'Older People in Retirement Villages' study in Auckland, New Zealand. Between July 2016 and August 2018, 578 village residents were interviewed face-to-face by gerontology nurse specialists, using interRAI Community Health Assessment (CHA) and customised survey. We used a validated pain scale and multivariable logistic regression analyses adjusted for pre-specified confounders. Residents' median age was 82 years; 420 (73%) were female; 270 (47%) exhibited/reported daily pain, and in 11% this was severe. After controlling for confounders, daily pain was positively associated with self-reported arthritis (OR = 3.88, 95% CI = 2.57-5.87), poor/fair self-reported health (OR = 3.19, 95% CI = 1.29-7.93), having no health clinic on-site (OR = 1.76, 95% CI = 1.10-2.83), and minimal fatigue (diminished energy but completes normal day-to-day activities) (OR = 1.77, 95% CI = 1.11-2.81). Similar associations were observed for levels of pain. We conclude that levels of pain and prevalence of daily pain are high in village residents. Self-reported arthritis, self-reported poor/fair health, no health clinic on-site and minimal fatigue are all independently associated with a higher risk of daily pain and with levels of pain. This study suggests potential opportunities for villages to better provide on-site support to decrease prevalence and severity of pain for their residents, and thus potentially increase wellbeing and quality-of-life, though as we cannot prove causality, more research is needed.

Prevalence of Loneliness and Its Association With General and Health-Related Measures of Subjective Well-Being in a Longitudinal Bicultural Cohort of Older Adults in Advanced Age Living in New Zealand: LiLACS NZ.

OBJECTIVES: There is evidence that loneliness is detrimental to the subjective well-being of older adults. However, little is known on this topic for the cohort of those in advanced age (80 years or older), which today is the fastest-growing age group in the New Zealand population. We examined the relationships between loneliness and selected subjective well-being outcomes over 5 years. METHODS: We used a regional, bicultural sample of those in advanced age from 2010 to 2015 (Life and Living in Advanced Age: a Cohort Study in New Zealand). The first wave enrolled 937 people (92% of whom were living in the community): 421 Maori (Indigenous New Zealanders aged 80-90 years) and 516 non-Maori aged 85 years. We applied standard regression techniques to baseline data and mixed-effects models to longitudinal data, while adjusting for sociodemographic factors. RESULTS: For both Maori and non-Maori, strong negative associations between loneliness and subjective well-being were found at baseline. In longitudinal analyses, we found that loneliness was negatively associated with life satisfaction as well as with mental health-related quality of life. DISCUSSION: Our findings of adverse impacts on subjective well-being corroborate other evidence, highlighting loneliness as a prime candidate for intervention-appropriate to cultural context-to improve well-being for adults in advanced age.