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Twenty subjects were examined 4-6 weeks after stroke to establish whether a sensory-motor ipsilateral deficit occurs early after stroke. Each underwent a timed test of repetitive side-to-side movement of both the upper and lower limbs ipsilateral to the cerebral infarct, and an assessment of motor disability using the Motor Assessment Scale. Results were compared with a group studied almost a year after their stroke, and with 41 age-matched healthy volunteers. There was a significantly worse performance (p < 0.005) on the right ipsilateral side, but not the left ipsilateral side, compared with normal volunteers, a finding similar to that of a group previously studied about a year after the stroke. There was no relationship between the severity of the motor deficit and performance of the side, possibly owing to reduction in cerebral activation as a result of a right hemispheric lesion. These observations have importance in rehabilitation and education as well as practical skills, including driving a car and maintaining balance. [ABSTRACT FROM AUTHOR]

Introduction Polypharmacy increases the risk of medicines-related harm, including falls, in older adults. Falls have a significant impact on quality of life and health system resources. Little is known about medicine use in retirement village (RV) residents in Aotearoa New Zealand (NZ). Aim Our study aimed to describe medicine use and the point prevalence of polypharmacy among a cohort of RV residents in Auckland, NZ. Methods Data collection occurred from July 2016 to June 2018. Eligible participants (those residing permanently in a RV) were recruited from RVs in Auckland, New Zealand. Medicines use data were collected using an interRAI assessment tool. Descriptive statistics, t -tests and Chi-squared tests were used for analysis. Results A total of 578 residents were recruited from 33 RVs and the median age was 81.6 years. Participants took a mean of 4.8 regular medicines (standard deviation = 2.9) and 0.7 'as required' medicines. Anti-hypertensives (68.5%), lipid-lowering medicines (45.2%), antacids (39.4%) and antiplatelet agents (37.9%) were the most prescribed medicine classes. Polypharmacy (five-plus medicines; 51.8%) was common and hyperpolypharmacy (10-plus medicines; 5.7%) occurred infrequently. Discussion This study provides insight into medicines use by RV residents in Auckland, NZ. Medicines used for primary and secondary prevention of cardiovascular disease were used most commonly and polypharmacy was common. Active review of RV residents' medicines is warranted, based on these findings and increasing evidence regarding the use of medicines, including those for primary prevention of cardiovascular disease. Trial registration Australia and New Zealand Clinical Trials Registry: CTRN12616000685415. Registered 25.5.2016. Universal Trial Number (UTN): U111-1173-6083.

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., (© 2023 The Authors. Australasian Journal on Ageing published by John Wiley & Sons Australia, Ltd on behalf of AJA Inc’.)

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 Māori 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., (© 2023. The Author(s).)

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., (© 2022 John Wiley & Sons Ltd.)

Background: Retirement villages (RVs), also known as continuing care retirement communities, are an increasingly popular housing choice for older adults. The RV population has significant health needs, possibly representing a group with needs in between community-dwelling older adults and those in long-term residential care (LTC). Our previous work shows Gerontology Nurse Specialist (GNS)-facilitated multidisciplinary team (MDT) interventions may reduce hospitalizations from LTC. This study tested whether a similar intervention reduced hospitalizations in RV residents., Methods: Open-label randomized controlled trial in which 412 older residents of 33 RVs were randomized (1:1) to an MDT intervention or usual care., Setting: RVs across two District Health Boards in Auckland, New Zealand. Residents were eligible if considered high risk of health/functional decline (triggering ≥3 interRAI Clinical Assessment Protocols or needing special consideration identified by GNS)., Intervention: GNS-facilitated MDT intervention, including geriatrician/nurse practitioner and clinical pharmacist, versus usual care. Primary outcome was time from randomization to first acute hospitalization. Secondary outcomes were rate of acute hospitalizations, LTC admission, and mortality. Twelve residents died before randomization; all others (n = 400: MDT intervention = 199; usual care = 201) were included in intention-to-treat analyses., Results: Mean (SD) age was 82.2 (6.9) years, 302 (75.5%) were women, and 378 (94.5%) were European. Over median 1.5 years follow-up, no difference was found in hazard of acute hospitalization between the MDT intervention (51.8%) and usual care (49.3%) groups (Hazard ratio [HR] = 1.01, 95% CI = 0.77-1.34). No difference was found in the incidence rate of acute hospitalizations between the MDT intervention (0.69 per person-year) and usual care (0.86 per person-year) groups (incidence rate ratio = 0.81, 95% CI = 0.59-1.10). Similar results were seen for the proportion of residents with LTC transition (HR = 1.18, 95% CI = 0.65-2.11) and mortality (HR = 0.70, 95% CI = 0.36-1.35)., Conclusion: Further studies are needed to assess the effects of other patient-centered interventions and outcomes with adequate primary care integration., (© 2021 The American Geriatrics Society.)

Background: To study healthcare utilization and trajectories, and associated factors, in older adults in retirement villages (RVs), also known as continuing care retirement communities., Methods: Prospective cohort study of 578 cognitively intact residents from 34 RVs in Auckland, New Zealand (NZ)., Measurement: InterRAI-Community Health Assessment (includes core items that may trigger functional supplement (FS) completion in those with higher needs, and generates clinical assessment protocols (CAPs) in those with potential unmet needs)., Outcomes: time to acute hospitalization, long-term care (LTC), and death during average 2.5 years follow-up., Results: Three hundred seven (53%) residents had acute hospitalizations, 65 (11%) moved to LTC, and 51 (9%) died over a mean of 2.5 years. Factors associated with increased risk of acute hospitalization included CAP-falls (high risk) triggered, number of comorbidities, not having left RV in 2 weeks prior, moderate/severe hearing impairment, CAP-cardiorespiratory conditions triggered, acute hospitalization in year prior and age, with significant hazard ratios (HR) ranging between 1.03 and 2.90. Factors associated with reduced risk of hospitalization included other (non-NZ) European ethnicity (HR 0.73, 95% CI 0.55-0.98, p = 0.04), presence of on-site clinic (HR 0.62, 95% CI 0.45-0.85, p = 0.003), no influenza vaccination (HR 0.56, 95% CI 0.38-0.83, p = 0.004). Factors associated with LTC transition included FS triggered (HR 3.84, 95% CI 1.92-7.66, p < 0.001), CAP-instrumental activities of daily living (IADL) (HR 2.62, 95% CI 1.22-5.62, p = 0.01), CAP-social relationship triggered (HR 2.00, 95% CI 1.13-3.55, p = 0.02), and age (HR 1.13, 95% CI 1.07-1.18 p < 0.001). Factors associated with mortality included number of comorbidities (HR 3.75, 95% CI 1.54-9.10, p = 0.004 for 3-5 comorbidities), CAP-IADL triggered (HR 3.05, 95% CI 1.30-7.16, p = 0.01), and age (HR 1.11, 95% CI 1.05-1.18, p < 0.001)., Conclusion: A large proportion of cognitively intact RV residents are admitted to hospital in mean 2.5 years of follow-up. Multiple factors were associated with acute hospitalization risk. On-site clinics were associated with reduced risk and should be considered in RV development., (© 2021 The American Geriatrics Society.)

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.

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 Māori (indigenous people of New Zealand) and non-Māori., Methods: LiLACS-NZ cohort project recruited Māori and non-Māori 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 Māori, 516 non-Māori), 77 already in LTC were excluded, leaving 860 participants (mean age 82.6 +/- 2.71 years Māori, 84.6 +/- 0.52 years non-Māori). Over a mean follow-up of 4.9 years, 278 (41% of non-Māori, 22% of Māori) entered LTC; of the 582 who did not, 323 (55%) were still living and may yet enter LTC. In a model including both Māori and non-Māori, 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-Māori compared to Māori the RR was 1.77 (95%CI:1.39-2.23). In a Māori-only model, predictive factors were older age and living alone. For non-Māori, factors were dependence in more ADLs and poor/fair self-rated health., Conclusions: Non-Māori participants (predominantly European) entered LTC at almost twice the rate of Māori. Factors differed between Māori and non-Māori. 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.

Objectives: Retirement villages (RV) have expanded rapidly, now housing perhaps one in eight people aged 75+ years in New Zealand. Health service initiatives might better support residents and offer cost advantages, but little is known of resident demographics, health status or needs. This study describes village residents-their demographics, socio-behavioural and health status-noting differences between participants who volunteered and those who were sampled., Design: Cross-sectional study of village residents. The cohort formed will also be used for a longitudinal study and a randomised controlled trial. Village managers (sometimes after consulting residents) decided if representative sampling could be undertaken in each village. Where sampling was not approved, volunteers were sought., Setting: 33 RV were included from a total of 65 villages in Auckland, New Zealand., Participants: Residents (n=578) were recruited either by sampling (n=217) or as volunteers (n=361) during 2016-2018. Each completed a survey and an International Resident Assessment Instrument (interRAI) health needs assessment with a gerontology nurse specialist., Results: Median age of residents was 82 years, 158 (27%) were men; 61% lived alone. Downsizing (77%), less stress (63%) and access to healthcare assistance (61%) were most common reasons for entry. During the 2 weeks prior to survey, 34% received home supports and 10% personal care. Hypertension, heart disease, arthritis and pain were reported by over 40%. Most common unmet needs related to managing cardiorespiratory symptoms (50%) and pain (48%). Volunteers and sampled residents differed significantly, mainly in socio-behavioural respects., Conclusions: Common conditions including hypertension, arthritis and atrial fibrillation, are recorded in interRAI as text, and thus overlooked in interRAI reports. Levels of unmet need indicate opportunities to improve health services to better manage chronic conditions. Healthcare service providers and village operators could cooperate to design and test service initiatives that better meet residents' needs and offer cost benefits., Trial Registration Number: ACTRN12616000685415., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: There is increasing interest among older people in moving into retirement villages (RVs), an attractive option for those seeking a supportive community as they age, while still maintaining independence. Currently in New Zealand there is limited knowledge of the medical, service supports, social status and needs of RV residents. The objective of this study is to explore RV facilities and services, the health and functional status of RV residents, prospectively study their healthcare trajectories and to implement a multidisciplinary team intervention to potentially decrease dependency and impact healthcare utilization., Methods: All RVs located in two large district health boards in Auckland, New Zealand were eligible to participate. This three-year project comprised three phases: The survey phase provided a description of RVs, residents' characteristics and health and functional status. RV managers completed a survey of size, facilities and recreational and healthcare services provided in the village. Residents were surveyed to establish reasons for entry to the village and underwent a Gerontology Nurse Specialist (GNS) assessment providing details of demographics, social engagement, health and functional status. The cohort study phase examines residents' healthcare trajectories and adverse outcomes, over three years. The final phase is a randomised controlled trial of a multidisciplinary team intervention aimed to improve health outcomes for more vulnerable residents. Residents who triggered potential unmet health needs during the assessment in the survey phase were randomised to intervention or usual care groups. Multidisciplinary team meetings included the resident and support person, a geriatrician or gerontology nurse practitioner, GNS, pharmacist and General Practitioner. The primary outcome of the randomised controlled trial will be first acute hospitalization. Secondary outcomes include all acute hospitalizations, long-term care admissions, and all-cause mortality., Discussion: This paper describes the study protocol of this complex study. The study aims to inform policies and practices around health care services for residents in retirement villages. The results of this trial are expected early 2020 with publication subsequently., Trial Registration: Australia and New Zealand Clinical Trials Registry: ACTRN12616000685415 . Registered 25.5.2016. Universal Trial Number (UTN): U111-1173-6083.

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 Māori (the indigenous population of New Zealand) and non-Māori 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 Māori and 404 non-Māori at baseline, 178 Māori and 332 non-Māori at 12-months, and 122 Māori and 281 non-Māori at 24-months. The prevalence of any PIP (i.e. ≥1 PIM and/or PPO) was 66, 75 and 72% for Māori at baseline, 12-months and 24-months, respectively. In non-Māori, 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 Māori were exposed to a significantly greater proportion of PPOs compared to non-Māori (p = 0.02). In Māori: PPOs were associated with a 1.5-fold increase in hospitalisations and mortality. In non-Māori, 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 Māori in predicting hospitalisations, and PIMs were more important in non-Māori in predicting mortality. These results suggest understanding prescribing outcomes across and between population groups is needed and emphasises prescribing quality assessment is useful.

Aim: Hospitalizations are frequent among acutely ill older people, and might be reduced by post-discharge secondary care (PDSC). We aimed to determine the proportion of older patients planned to receive or attending PDSC after acute hospitalization and the association with undesirable outcomes., Methods: A retrospective observational study was carried out using an electronic health record system in two hospitals in New Zealand. Patients were aged ≥75 years, initially presented at an emergency department (ED) and were discharged from medical, surgical, geriatrics or orthopedics wards in three 2-week periods. Planned PDSC at discharge, attended PDSC, ED presentation, long-term care (LTC) admission and death in 90 days after discharge were obtained through the health record system. Proportional hazards regression assessed the associations of planned or attended PDSC with undesirable outcomes (ED presentation, LTC admission and death) within 90 days of discharge., Results: Clinical records for 1085 patients were extracted, 963 were eligible. Of these, 413 (42.9%) had planned PDSC in discharge summaries, and 573 (59.5%) actually attended in 90 days. Patients planned for PDSC had a similarly adjusted hazard of ED presentation (HR 0.99, P = 0.92), LTC admission (HR 0.73, P = 0.25) and death (HR 0.80, P = 0.34) within 90 days of discharge, compared with those not planned. Similar non-significant associations were observed between attended PDSC and undesirable outcomes., Conclusions: In patients aged ≥75 years in New Zealand, we did not find "planned PDSC" at discharge or "attended PDSC" after an acute hospitalization to be associated with ED presentation, LTC admission and death within 90 days after discharge. Other potential benefits of planned or attended PDSC require further investigation. Geriatr Gerontol Int 2019; 19: 1048-1053., (© 2019 Japan Geriatrics Society.)

Background: Older age has long been linked to risk of diverticulitis, but the epidemiology is seldom described for a national population. The aim of this study was to investigate age- and gender differences in incidence, temporal trends, lifetime risk and prevalence related to acute diverticulitis hospitalisations in New Zealand., Methods: Records of all hospitalisations with diverticulitis the primary diagnosis were obtained from the Ministry of Health for the period 2000-2015. The first acute diverticulitis admission recorded for an individual was taken as an incident event; all others were classified as recurrent. Trends in age- and sex-specific and age-standardised incidence rates are described, and lifetime risk and prevalence estimated., Results: Over the 16 years from 2000 to 2015, 37,234 acute hospitalisations for diverticulitis were recorded in 28,329 people aged 30 + years (median = 66 years). Rates of incident hospitalisations rose with age, from 5/10,000 person-years at age 50-54 years to 19/10,000py by age 80-84 years. Rates for women were lower than men before age 55 years, but higher thereafter. Age-standardised rates rose 0.2/10,000py annually, but approximately doubled among men aged < 50 years. Lifetime risk was estimated at over 5%, with the prevalence pool rising to over 1.5% of the population aged 30+ in 2030., Conclusions: Rapid increases in diverticulitis admissions among young men since 2000 correspond with increases reported elsewhere but remain unexplained; notably young women follow similar trends 5-10 years later. Increasing incidence, combined with population ageing, adds urgency to explain diverticular formation, to understand factors that trigger or provoke their inflammation/infection, and to clarify treatment and (self-)management pathways.

Background: The literature regarding diverticular disease of the intestines (DDI) almost entirely concerns hospital-based care; DDI managed in primary care settings is rarely addressed., Aim: To estimate how often DDI is managed in primary care, using antibiotics dispensing data., Design and Setting: Hospitalisation records of New Zealand residents aged 30+ years during 2007-2016 were individually linked to databases of community-dispensed oral antibiotics., Method: Patients with an index hospital admission 2007-2016 including a DDI diagnosis (ICD-10-AM = K57) were grouped by acute/non-acute hospitalisation. We compared use of guideline-recommended oral antibiotics for the period 2007-2016 for these people with ten individually-matched non-DDI residents, taking the case's index date. Multivariable negative binomial models were used to estimate rates of antibiotic use., Results: From almost 3.5 million eligible residents, data were extracted for 51,059 index cases (20,880 acute, 30,179 non-acute) and 510,581 matched controls; mean follow-up = 8.9 years. Dispensing rates rose gradually over time among controls, from 47 per 100 person-years (/100py) prior to the index date, to 60/100py after 3 months. In comparison, dispensing was significantly higher for those with DDI: for those with acute DDI, rates were 84/100py prior to the index date, 325/100py near the index date, and 141/100py after 3 months, while for those with non-acute DDI 75/100py, 108/100py and 99/100py respectively. Following an acute DDI admission, community-dispensed antibiotics were dispensed at more than twice the rate of their non-DDI counterparts for years, and were elevated even before the index DDI hospitalisation., Conclusion: DDI patients experience high use of antibiotics. Evidence is needed that covers primary-care and informs self-management of recurrent, chronic or persistent DDI., Competing Interests: The authors have declared that no competing interests exist.

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.

Introduction: The complexity of care required by many older people living in long-term care (LTC) facilities poses challenges that can lead to potentially avoidable referrals to a hospital emergency department (ED). The Aged Residential Care Intervention Project (ARCHIP) ran an implementation study to evaluate a multidisciplinary team (MDT) intervention supporting LTC facility staff to decrease potentially avoidable ED presentations by residents., Methods: ARCHIP (conducted in 21 facilities [1,296 beds] with previously noted high ED referral rates) comprised clinical coaching for LTC facility staff by a gerontology nurse specialist (GNS) and an MDT (facility senior nurse, resident's general practitioner, GNS, geriatrician, pharmacist) review of selected high-risk residents' care-plans. A before-after repeated measures analysis was conducted for 9 months before and 9 months after intervention commencement (a 29-month period because of staggered facility enrolment). Modelling was adjusted for time trend, seasonality, facility size, and cluster effect., Results: ED admission rate ratio post- versus pre-intervention was 0.75 (95% C.I. 0.63, 0.89, p-value = 0.0008), a 25% reduction in ED presentations post-intervention. A sensitivity model used a shorter, staggered time period centred on intervention start (9 months pre-intervention and 9 months post-intervention) for each facility, and a four-level categorical intervention variable testing intervention effect over time. The sensitivity test showed a 24% reduction in ED presentations in months 1-3 post-intervention (p-value = 0.07), a 34% reduction in months 4-6 (p-value = 0.01), and a 32% reduction in ED presentations in months 7-9 (p-value = 0.03). However, when the higher ED referral rates for 3 months immediately pre-intervention were modelled, the impact of the intervention on ED presentation rates reverted almost to previous levels., Key Conclusions: A GNS-led MDT outreach intervention, targeted at selected conditions, decreases avoidable ED admissions of high-risk residents from selected facilities., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Aim: The knowledge on multimorbidity and its impact on healthcare systems is lacking in low- and middle-income countries. We aimed to estimate the prevalence of multimorbidity, and analyze the health service use of middle-aged and older persons with multimorbidity in urban China., Methods: Study participants included 3737 urban residents aged ≥45 years from the China Health and Retirement Longitudinal Study 2011. A total of 16 pre-specified self-reported chronic conditions were used to measure multimorbidity, which was defined as having two or more conditions. Logistic regression was used to analyze the characteristics and health service use of persons with multimorbidity. Analyses were weighted to adjust for sampling design and non-response., Results: Of the study population, 51.9% were men and 20.1% were aged >70 years. Hypertension (33.1%) was the most prevalent condition, followed by arthritis (25.4%), digestive disease (18.7%), dyslipidemia (18.3%) and heart disease (17.7%). The prevalence of multimorbidity was 45.5% (95% CI 41.4-49.7%). Multivariate analyses showed that the prevalence of multimorbidity was significantly higher in respondents who are older and socioeconomically disadvantaged than that in their counterparts. Multimorbid patients used 72.7% of outpatient services and 77.3% of inpatient services. After controlling for demographic, socioeconomic, health behavior and health insurance factors, condition counts still had a positive relationship with outpatient or inpatient service use., Conclusions: The burden of multimorbidity is high among the middle-aged and older urban Chinese population. Management of multimorbidity therefore deserves more attention from health policymakers, providers and educators of health professionals in China and in other low- and middle-income countries. Geriatr Gerontol Int 2018; 18: 1447-1452., (© 2018 Japan Geriatrics Society.)

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 Māori (indigenous to New Zealand), aged 80-90 and 516 non-Māori, 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 Māori and non-Māori, respectively. The associations between clusters and outcomes differed between Māori and non-Māori. In Māori, 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-Māori, 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., (© The Author(s) 2017. Published by Oxford University Press on behalf of the British Geriatrics Society.All rights reserved. For permissions, please email: journals.permissions@oup.com)

This study explored active aging for older Māori and non-Māori 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. Māori aged 80 to 90 and non-Māori 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 Māori 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 Māori men, and gardening for Māori women. Somewhat similar, activity preferences for non-Māori featured gardening, reading, and sports. Again, gendered differences showed for non-Māori, 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 Māori and non-Māori. For Māori, 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-Māori. These findings reveal fundamental ethnic divergences in preferences for active aging with implications for enabling participation, support provision and community design.

Objectives: Serum testosterone (T) levels in men decline with age. Low T levels are associated with sarcopenia and frailty in men aged > 80 years. T levels have not previously been directly associated with disability in older men. We explored associations between T levels, frailty and disability in a cohort of octogenarian men., Setting: Data from all men from Life and Living in Advanced Age Cohort Study in New Zealand, a longitudinal cohort study in community-dwelling older adults., Participants: Community-dwelling ( > 80 years) adult men excluding those receiving T treatment or with prostatic carcinoma., Outcomes Measures: Associations between baseline total testosterone (TT) and calculated free testosterone (fT), frailty (Fried scale) and disability (Nottingham Extended Activities of Daily Living scale (NEADL)) (baseline and 24 months) were examined using multivariate regression and Wald's χ 2 techniques. Subjects with the lowest quartile of baseline TT and fT values were compared with those in the upper three quartiles., Results: Participants: 243 men, mean (SD) age 83.7 (2.0) years. Mean (SD) TT=17.6 (6.8) nmol/L and fT=225.3 (85.4) pmol/L. On multivariate analyses, lower TT levels were associated with frailty: β=0.41, p=0.017, coefficient of determination (R 2 )=0.10 and disability (NEADL) (β=-1.27, p=0.017, R 2 =0.11), low haemoglobin (β=-7.38, p=0.0016, R 2 =0.05), high fasting glucose (β=0.38, p=0.038, R 2 =0.04) and high C reactive protein (CRP) (β=3.57, p=0.01, R 2 =0.06). Low fT levels were associated with frailty (β=0.39, p=0.024, R 2 =0.09) but not baseline NEADL (β=-1.29, p=0.09, R 2 =0.09). Low fT was associated with low haemoglobin (β=-7.83, p=0.0008, R 2 =0.05) and high CRP (β=2.86, p=0.04, R 2 =0.05). Relationships between baseline TT and fT, and 24-month outcomes of disability and frailty were not significant., Conclusions: In men over 80 years, we confirm an association between T levels and baseline frailty scores. The new finding of association between T levels and disability is potentially relevant to debates on T supplementation in older men, though, as associations were not present at 24 months, further work is needed., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Objective: This article estimates length of completed stay and resident transitions for RAC residents over 12 months in Auckland., Methods: Data from a census-type survey of nursing home residents (n = 6816) were linked with national mortality data. Transitions described include entry to residential aged care (RAC), movement between RAC facilities and deaths., Results: When reweighted for missing data and adjusted for length bias, an estimated 9676 residents (95% CI 8368-10 985) used care over a 12-month period. Half of new residents entered RAC via an acute hospital. Median survival was 2.0 years; 17% died within 3 months, and 23% survived over 5 years., Conclusion: Cross-sectional survey data, when appropriately adjusted for length-biased sampling, enable estimates of period prevalence and transition probabilities that are useful for simulation studies. Given population ageing and the costs of ongoing care, these results can inform policy and planning for long-term care needs of older people., (© 2017 AJA Inc.)

Objective: Prognostication is important in clinical decision-making, especially for older people. The aim was to present estimates of life expectancy for older people in New Zealand., Methods: Statistics New Zealand age-sex-specific death rates were used to derive quartiles of expected years of life remaining in people aged over 65 years., Results: Given current patterns and trends in New Zealand death rates, 50% of women reaching age 80 years in 2016 can expect to live at least another 10.5 years, 25% will live over 14.7 years, and 25% will die within 6.2 years. Comparable results for men reaching age 80 years in 2016 are 8.5 years, 12.7 years and 4.6 years, respectively. Of those reaching age 90 years in 2016, median expected years of life left is 4.2 years for women and 3.4 years for men., Conclusion: Demographic norms are useful as a guide when specific predictive tools are unavailable., (© 2016 AJA Inc.)

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 Author 2016. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Aim: To compare the prevalence in residential aged care (RAC) of preventative and potentially inappropriate medications (PIMs) in those who died within 12 months versus those alive after 12 months., Methods: Firstly, a cross-sectional survey of 6196 people living in RAC in Auckland. Secondly, a research physician searched electronic hospital records in one District Health Board for a sub-sample (n = 222) of these residents. Classes of medications and dates of death were obtained from the Ministry of Health databases. Those who died versus those alive at 12 months were compared., Results: Over half of the 6196 participants received antihypertensives and/or antiplatelet agents. Cardiovascular preventative medications were significantly more common in those who died within 12 months. Seventy percent in high-level care received psychotropics. PIMs were commonly used., Conclusions: Use of preventative medications is common in RAC, especially during the last year of life. Psychotropics are very commonly used, despite being potentially inappropriate., (© 2015 AJA Inc.)

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., (© The Author 2016. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Background: Diverticular disease (DD) is a major health problem in the Western world. The aim of this study was to describe demographics and trends in acute DD admissions in New Zealand., Methods: Information pertaining to acute hospital admissions between January 2000 and June 2012 for a primary diagnosis of large bowel DD was retrieved from a national database., Results: There were 25,167 admissions for acute DD. Mean age of presentation decreased from 65.9 years in 2000 to 64.1 years in 2012 (P < 0.001). Mean age was lower in men than women (61.4 versus 67.4 years, P < 0.001). Although men comprised 45.2% of the cohort they were over-represented in the 18-44 years stratum (68.6 versus 31.4%; P < 0.001). Europeans accounted for 84.8% of admissions and presented at an older age (65.8 years) than Māori (56.2 years), Pacific Islanders (58.4 years) or Asians (58.9 years) (P < 0.001). Acute DD admissions were higher in more deprived populations (P < 0.001). Mean length of hospital stay (LOS) reduced from 5.8 days in 2000 to 4.1 days in 2012 (P < 0.001). LOS increased with age (P < 0.001) and deprivation (P = 0.013), but did not differ between ethnicities (P = 0.088). Computed tomography scanning of acute admissions doubled from 2000 to 2012 (29.7-59.2%; P < 0.001) with a halving in the use of acute in-patient colonoscopy (26.1-13.2%; P < 0.001) and emergent surgery (14.8-7.2%; P < 0.001). Percutaneous drain use increased from 0.6% in 2000 to 1.1% in 2012 (P = 0.003)., Conclusion: Acute DD is a source of considerable morbidity in New Zealand and there have been significant changes in its admission demographics and trends over the last decade., (© 2015 Royal Australasian College of Surgeons.)

Objectives: In New Zealand (NZ), place of death among decedents aged 65+ years has been reported as residential aged care (RAC, 38%), acute hospital (34%) or elsewhere (28%). However, lifetime risk of use of RAC (or nursing homes) is unknown. A simple method of estimation is demonstrated for NZ and Australia, with comparisons to other countries., Methods: Deaths of RAC residents in acute hospitals were estimated for NZ from four separate studies and added to deaths occurring in RAC, to derive the likelihood of using RAC after age 65 years. Academic and other sources were searched for comparative reports., Results: An estimated 18% of RAC residents died in acute hospital in NZ. When added to those who died in RAC, the proportion using RAC for late-life care was estimated at over 47% (66% if aged 85+ years). Of 12 US reports, the median report was 41%. Elsewhere, Finland was 47%, UK 28%, Australia 34% to 53%, and Germany 22% & 26%., Conclusions: Simple estimation using existing data demonstrates that RAC in late life is common., Implications: Late-life care services will continue to evolve. Monitoring RAC utilisation is necessary for informed debate about palliative care provision in RAC, use of hospital by RAC residents and for planning and policy setting., (© 2015 Public Health Association of Australia.)

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., (© The Author 2015. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Objective: To assess effect of a complex, multidisciplinary intervention aimed at reducing avoidable acute hospitalization of residents of residential aged care (RAC) facilities., Design: Cluster randomized controlled trial., Setting: RAC facilities with higher than expected hospitalizations in Auckland, New Zealand, were recruited and randomized to intervention or control., Participants: A total of 1998 residents of 18 intervention facilities and 18 control facilities., Intervention: A facility-based complex intervention of 9 months' duration. The intervention comprised gerontology nurse specialist (GNS)-led staff education, facility bench-marking, GNS resident review, and multidisciplinary (geriatrician, primary-care physician, pharmacist, GNS, and facility nurse) discussion of residents selected using standard criteria., Main Outcome Measures: Primary end point was avoidable hospitalizations. Secondary end points were all acute admissions, mortality, and acute bed-days. Follow-up was for a total of 14 months., Results: The intervention did not affect main study end points: number of acute avoidable hospital admissions (RR 1.07; 95% CI 0.85-1.36; P = .59) or mortality (RR 1.11; 95% CI 0.76-1.61; P = .62)., Conclusions: This multidisciplinary intervention, packaging selected case review, and staff education had no overall impact on acute hospital admissions or mortality. This may have considerable implications for resourcing in the acute and RAC sectors in the face of population aging. Australian and New Zealand Clinical Trials Registry (ACTRN12611000187943)., (Copyright © 2015 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.)

Aim: In New Zealand, no reliable information describes use of long-term residential aged care. Instead, when estimating use, records of government subsidy payments are upscaled to adjust for private payers. This paper assesses consequential bias in reporting use of long-term care and considers the implications., Methods: Data from OPAL, a census-type survey of residents of aged-care facilities in Auckland in 2008, linked to routinely-collected hospitalisation, mortality and subsidy data from national databases. Demographic, functional and service use characteristics of unsubsidised residents were compared to subsidised., Results: Records of 5961 OPAL residents aged 65+ years were matched with subsidy data; 25% were unsubsidised. In low-level care (51% of all), unsubsidised residents had similar care needs to subsidised residents, but were 1.7 years older on average (p<0.001) with shorter length of stay. In high-level care (41% of all), unsubsidised residents had significantly lower care needs on six different measures and were less likely to die during the follow-up period. Upscaling yields undercounts at all care levels., Conclusions: National reports derived from current upscaling methods undercount residents. Stratification by region and age group would improve estimates. Age and care needs are misrepresented. Population policies that depend upon upscaled counts should, where possible, ascertain the biases introduced.

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.

Aim: To describe short-term mortality among residential aged care (RAC) residents in Auckland, New Zealand., Method: Prospective follow-up, 6828 residents (median age 86 years, 69.8% women) from census-type survey (10/9/2008); 152 facilities. Mortality data from central sources., Results: Eight hundred and sixty-one (12.6%) died by 6 months. Survival related to RAC length of stay before the survey: those resident <1 month (subgroup, n = 380) having 80.0% survival, 1-6 months 83.2% and >6 months 87.4% (P < 0.0001). In those admitted to private hospital from acute hospital (n = 104 of the subgroup of 380), 6-month mortality was 36.5% (P < 0.0001 vs other 'short stayers'). Significant mortality predictors were: private hospital admission from acute hospital (hazard ratio (HR) = 2.02), unscheduled GP visit during the prior 2 weeks (HR = 1.90), personal care disability (HR = 1.90) and acute hospital admission number during the previous 2 years (≥3; HR = 5.40)., Conclusions: RAC mortality (especially post admission) is high. Training and resource in the sector should reflect this., (© 2013 The Authors. Australasian Journal on Ageing © 2013 ACOTA.)

Objective: Population ageing is driving many countries to review health and social care policies. For many, an important component is residential long-term care (LTC). This study uses New Zealand to ascertain the extent different reports provide consistent and accurate estimates of LTC use., Methods: We searched for available cross-sectional information about use of LTC by people aged 65 years or over in NZ's population since 1988. In addition, for one geographic region, Auckland, we compared research survey data at three time-points with the nearest census estimates., Results: Fifty-eight national-level estimates (census, subsidy payments and population surveys) were found. Since 2000, estimates of the proportion of older people reportedly living in long-term care ranged from 3.4% to 9.2%. Comparisons with Auckland studies demonstrated improved reporting in the 2006 census., Conclusion: Estimates of the proportion of people living in residential LTC varied widely. OECD reports, often used for cross-national comparisons, were particularly inconsistent., Implications: While estimates of the proportion of people living in residential LTC in NZ are inconsistent, improvements are evident in census and subsidy data. Reconciling new data with previous reports prior to publication may reduce variations in reporting. Improved reliability will assist understanding of within-country trends and international comparisons, and better inform decisions shaping health services for older people., (© 2013 The Authors. ANZJPH © 2013 Public Health Association of Australia.)

Objectives: Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ) aims to determine the predictors of successful advanced ageing and understand the trajectories of wellbeing in advanced age. This paper reports recruitment strategies used to enrol 600 Māori aged 80-90 years and 600 non-Māori aged 85 years living within a defined geographic boundary., Methods: Electoral roll and primary health lists of older people were used as a base for identification and recruitment, supplemented by word of mouth, community awareness raising and publicity. A Kaupapa Māori method was used to recruit Māori with: dual Māori and non-Māori research leadership; the formation of a support group; local tribal organisations and health providers recruiting participants; and use of the Māori language in interviews. Non-Māori were recruited through local health and community networks. Six organisations used differing strategies to invite older people to participate in several ways: complete full or partial interviews; complete physical assessments; provide a blood sample and provide access to medical records., Results: During 14 months in 2010-2011, 421 of 766 (56%) eligible Māori and 516 of 870 (59%) eligible non-Māori were enrolled. Participation and contribution of information varied across the recruitment sites., Conclusion: Attention to appropriate recruitment techniques resulted in an acceptable engagement and recruitment for both Māori and non-Māori of advanced age in a longitudinal cohort study., Implications: There is high potential for meaningful results useful for participants, their whānau and families, health agencies, planners and policy., (© 2013 The Authors. ANZJPH © 2013 Public Health Association of Australia.)

Objective: Place of death, specifically the percentage who die in hospital or residential aged care, is largely unreported. This paper presents a cross-national comparison of location of death information from published reports and available data., Methods: Reports of deaths occurring in hospitals, residential aged care facilities, and other locations for periods since 2001 were compiled., Results: Over 16 million deaths are reported in 45 populations. Half reported 54 % or more of all deaths occurred in hospitals, ranging from Japan (78 %) to China (20 %). Of 21 populations reporting deaths of older people, a median of 18 % died in residential aged care, with percentages doubling with each 10-year increase in age, and 40 % higher among women., Conclusions: This place of death study includes more populations than any other known. In many populations, residential aged care was an important site of death for older people, indicating the need to optimise models of end-of-life care in this setting. For many countries, more standardised reporting of place of death would inform policies and planning of services to support end-of-life care.

Aim: To describe an international comparison of dependency of long-term care residents., Methods: All Auckland aged care residents were surveyed in 1998 and 2008 using the 'Long-Term Care in Auckland' instrument. A large provider of residential aged care, Bupa-UK, performed a similar but separate functional survey in 2003, again in 2006 (including UK Residential Nursing Home Association facilities), and in 2009 which included Bupa facilities in Spain, New Zealand and Australia. The survey questionnaires were reconciled and functional impairment rates compared., Results: Of almost 90,000 residents, prevalence of dependent mobility ranged from 27 to 47%; chronic confusion, 46 to 75%; and double incontinence, 29 to 49%. Continence trends over time were mixed, chronic confusion increased, and challenging behaviour decreased., Conclusion: Overall functional dependency for residents is high and comparable internationally. Available trends over time indicate increasing resident dependency signifying care required for this population is considerable and possibly increasing., (© 2012 The Authors; Australasian Journal on Ageing © 2012 ACOTA.)

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.

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 Māori, 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 Māori and non-Māori in New Zealand., Methods/design: A total population cohort study of those of advanced age. Two cohorts of equal size, Māori aged 80-90 and non-Māori 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. Rūnanga (Māori 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 Māori 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.

Objective: To describe changes in aged care residents' dependency over a 20-year period., Design: All residents in 1988, 1993, 1998, and 2008 were assessed using the same 23-item functional ability survey., Setting: Residential aged care facilities in Auckland, New Zealand., Participants: In 1988 there were 7516 participants (99% response rate), 6972 in 1993 (85% response rate), 5056 in 1998 (65% response rate), and 6828 in 2008 (89% response rate). Data were weighted to accommodate variation in response., Measurements: A composite dependency score with 5 ordinal levels was derived from a census-type survey reporting mobility, activities of daily living ability, continence, and cognitive function., Results: The proportion of "apparently independent" residents decreased from 18% in 1988 to 9% in 1993, 5% in 1998, and 4% in 2008, whereas those "highly dependent" increased from 16% in 1988, to 18% in 1993, 19% in 1998, to 21% in 2008. All functional indicators demonstrated increased dependency over the 20-year period (P < .0001). However, between 1998 and 2008 there were significant increases in dependency for continence, mobility, self-care, and orientation, but no significant changes in memory and behavior., Conclusion: The increased dependency over 20 years directly affects care requirements for this population., (Copyright © 2011 American Medical Directors Association. Published by Elsevier Inc. All rights reserved.)

Background: in Auckland, New Zealand in 1988, 7.7% of those aged over 65 years lived in licenced residential aged care. Age-specific rates approximately doubled for each 5-year age group after the age of 65 years. Even with changes in policies and market forces since 1988, population increases are forecast to drive large growth in demand. This study shows previously unrecognised 20-year trends in rates of care in a geographically defined population., Methods: four cross-sectional surveys of all facilities (rest homes and hospitals) licenced for long-term care of older people were conducted in Auckland, New Zealand in 1988, 1993, 1998 and 2008. Facility staff completed survey forms for each resident. Numbers of licenced and occupied beds and trends in age-specific and age-standardised rates in residential aged care are reported., Results: over the 20-year period, Auckland's population aged over 65 years increased by 43% (from 91,000 to 130,000) but actual numbers in care reduced slightly. Among those aged over 65 years, the proportion living in care facilities reduced from 1 in 13 to 1 in 18. Age-standardised rates in rest-home level care reduced from 65 to 33 per thousand, and in hospital level care, from 29 to 23 per thousand. Had rates remained stable, over 13,200 people, 74% more than observed, would have been in care in 2008., Conclusion: growth predicted in the residential aged care sector is not yet evident. The introduction of standardised needs assessments before entry, increased availability of home-based services, and growth in retirement villages may have led to reduced utilisation.

Objectives: To assess agreement between ethnicity as recorded by two independent databases in New Zealand, PREDICT and the National Health Index (NHI), and to assess sensitivity of ethnic-specific measures of health outcomes to either ethnicity record., Method: Patients assessed using PREDICT form the study cohort. Ethnicity was recorded for PREDICT and an associated NHI ethnicity code was identified by merge-match linking on an encrypted NHI number. Agreement between ethnicity measures was assessed by kappa scores and scaled rectangle diagrams., Results: A cohort of 18,239 individuals was linked in both PREDICT and NHI databases. The agreement between ethnicity classifications was reasonably good, with overall kappa coefficient of 0.82. There was better agreement for women than men and agreement improved with age and with time since the PREDICT system has been operational. Ethnic-specific cardiovascular (CVD) hospital admission rates were sensitive to ethnicity coding by NHI or PREDICT; rate ratios for ethnic groups, relative to European, based on PREDICT were attenuated towards the null relative to the NHI classification., Conclusions: Agreement between ethnicity was moderately good. Discordances that do exist do not have a substantial effect on prevalence-based measures of effect; however, they do on measurement of the admission of CVD., Implications: Different categorisations of ethnicity data from routine (and other) databases can lead to different ethnic-specific estimates of epidemiological effects. There is an imperative to record ethnicity in a rational, systematic and consistent way.

Study Objective: to determine whether melatonin will improve quality of sleep in healthy older people with age-related sleep maintenance problems., Design: a double blind randomised placebo controlled crossover trial in healthy older volunteers., Setting: a largely urban population, Auckland, New Zealand., Participants: participants were part of the larger Possible Role of Melatonin in Sleep of Elders study. People 65 years or more of age were recruited through widespread advertising. We screened 414 potential participants by mail using the Pittsburgh Sleep Quality Index, and selected 194 for clinic interview. Exclusions included depression, cognitive impairment, hypnosedative medications, sleep phase abnormalities, medical and/or environmental problems that might impair sleep. Twenty normal and 20 problem sleepers were randomly allocated for this study from a larger sample of 60 normal and 60 problem sleepers., Measurements and Results: 24-hour urine 6-sulphatoxymelatonin was measured to estimate melatonin secretion in each participant. Five milligrams of melatonin, or matching placebo were each taken at bedtime for 4 weeks, separated by a 4-week washout period. Sleep quality was measured using sleep diaries, the Leeds Sleep Evaluation Questionnaire, and actigraphy. There was a significant difference between the groups in self-reported sleep quality indicators at entry, but no difference in melatonin secretion. Melatonin did not significantly improve any sleep parameter measured in either group., Conclusion: 5 mg of fast release melatonin taken at bedtime does not improve the quality of sleep in older people with age-related sleep maintenance problems.

Study Objectives: To determine whether older people with age-related sleep maintenance problems have significantly lower melatonin levels than comparable normal sleepers., Design: Case-control study., Setting: A largely urban population, Auckland, New Zealand., Participants: People over the age of 65 years, who either slept normally, or had age-related sleep maintenance problems. Participants were recruited through media advertising, and local interest groups. Initial screening was by mail (Pittsburgh Sleep Quality Index), followed by interviews at a hospital day clinic. Exclusions included those with depression, cognitive impairment, medical and/or environmental problems which might impair sleep., Interventions: N/A., Measurements and Results: A metabolite of plasma melatonin, 6-sulphatoxymelatonin (aMT6s) was measured in the urine of 57 normal sleepers, and 53 people with age-related problems over 24 hours in three aliquots: 12:00-19:00h, 19:00-07:00h, 07:00-12:00h. There were clear differences in self reported quality of sleep but no difference in mean aMT6s 24 hour or total night excretory levels, or night/day ratios., Conclusions: Older people with age-related sleep maintenance problems do not have lower melatonin levels than older people reporting normal sleep.