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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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. Key words: Cardiovascular diseases, incidence, prevalence, databases, ethnic groups, computer system.

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Introduction Rehabilitation assessment and programmes after stroke pay little attention to the so-called `good side', the side ipsilateral to the cerebral infarct. None the less, stroke patients may report clumsiness [...]

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. [ABSTRACT FROM AUTHOR]

Abstract 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

Abstract 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.

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 χ² 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 (R²)=0.10 and disability (NEADL) (β=-1.27, p=0.017, R²=0.11), low haemoglobin (β=-7.38, p=0.0016, R²=0.05), high fasting glucose (β=0.38, p=0.038, R²=0.04) and high C reactive protein (CRP) (β=3.57, p=0.01, R²=0.06). Low fT levels were associated with frailty (β=0.39, p=0.024, R²=0.09) but not baseline NEADL (β=-1.29, p=0.09, R²=0.09). Low fT was associated with low haemoglobin (β=-7.83, p=0.0008, R²=0.05) and high CRP (β=2.86, p=0.04, R²=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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]