RESUMO
PURPOSE: Seasonal variation of acute diverticular disease is variably reported in observational studies. This study aimed to describe seasonal variation of acute diverticular disease hospital admissions in New Zealand. METHODS: A time series analysis of national diverticular disease hospitalisations from 2000 to 2015 was conducted among adults aged 30 years or over. Monthly counts of acute hospitalisations' primary diagnosis of diverticular disease were decomposed using Census X-11 times series methods. A combined test for the presence of identifiable seasonality was used to determine if overall seasonality was present; thereafter, annual seasonal amplitude was calculated. The mean seasonal amplitude of demographic groups was compared by analysis of variance. RESULTS: Over the 16-year period, 35,582 hospital admissions with acute diverticular disease were included. Seasonality in monthly acute diverticular disease admissions was identified. The mean monthly seasonal component of acute diverticular disease admissions peaked in early-autumn (March) and troughed in early-spring (September). The mean annual seasonal amplitude was 23%, suggesting on average 23% higher acute diverticular disease hospitalisations during early-autumn (March) than in early-spring (September). The results were similar in sensitivity analyses that employed different definitions of diverticular disease. Seasonal variation was less pronounced in patients aged over 80 (p = 0.002). Seasonal variation was significantly greater among Maori than Europeans (p < 0.001) and in more southern regions (p < 0.001). However, seasonal variations were not significantly different by gender. CONCLUSIONS: Acute diverticular disease admissions in New Zealand exhibit seasonal variation with a peak in Autumn (March) and a trough in Spring (September). Significant seasonal variations are associated with ethnicity, age, and region, but not with gender.
Assuntos
Doenças Diverticulares , Hospitalização , Adulto , Humanos , Idoso de 80 Anos ou mais , Estações do Ano , Nova Zelândia/epidemiologiaRESUMO
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.
Assuntos
Solidão/psicologia , Qualidade de Vida , Aposentadoria/psicologia , Idoso , Idoso de 80 Anos ou mais , Feminino , Habitação para Idosos , Humanos , Masculino , Pessoa de Meia-Idade , Nova Zelândia/epidemiologia , Isolamento SocialRESUMO
BACKGROUND: Long-term residential care (LTC) supports the most vulnerable and is increasingly relevant with demographic ageing. This study aims to describe entry to LTC and identify predictive factors for older Maori (indigenous people of New Zealand) and non-Maori. METHODS: LiLACS-NZ cohort project recruited Maori and non-Maori octogenarians resident in a defined geographical area in 2010. This study used multivariable log-binomial regressions to assess factors associated with subsequent entry to LTC including: self-identified ethnicity, demographic characteristics, self-rated health, depressive symptoms and activities of daily living [ADL] as recorded at baseline. LTC entry was identified from: place of residence at LiLACS-NZ interviews, LTC subsidy, needs assessment conducted in LTC, hospital discharge to LTC, and place of death. RESULTS: Of 937 surveyed at baseline (421 Maori, 516 non-Maori), 77 already in LTC were excluded, leaving 860 participants (mean age 82.6 +/- 2.71 years Maori, 84.6 +/- 0.52 years non-Maori). Over a mean follow-up of 4.9 years, 278 (41% of non-Maori, 22% of Maori) entered LTC; of the 582 who did not, 323 (55%) were still living and may yet enter LTC. In a model including both Maori and non-Maori, independent risks factors for LTC entry were: living alone (RR = 1.52, 95%CI:1.15-2.02), self-rated health poor/fair compared to very good/excellent (RR = 1.40, 95%CI:1.12-1.77), depressive symptoms (RR = 1.28, 95%CI:1.05-1.56) and more dependent ADLs (RR = 1.09, 95%CI:1.05-1.13). For non-Maori compared to Maori the RR was 1.77 (95%CI:1.39-2.23). In a Maori-only model, predictive factors were older age and living alone. For non-Maori, factors were dependence in more ADLs and poor/fair self-rated health. CONCLUSIONS: Non-Maori participants (predominantly European) entered LTC at almost twice the rate of Maori. Factors differed between Maori and non-Maori. Potentially, the needs, preferences, expectations and/or values may differ correspondingly. Research with different cultural/ethnic groups is required to determine how these differences should inform service development.
Assuntos
Atividades Cotidianas , Havaiano Nativo ou Outro Ilhéu do Pacífico , Idoso , Idoso de 80 Anos ou mais , Envelhecimento , Estudos de Coortes , Humanos , Nova Zelândia/epidemiologiaRESUMO
BACKGROUND: Potentially inappropriate prescribing (PIP) is associated with negative health outcomes, including hospitalisation and mortality. Life and Living in Advanced Age: a Cohort Study in New Zealand (LiLACS NZ) is a longitudinal study of Maori (the indigenous population of New Zealand) and non-Maori octogenarians. Health disparities between indigenous and non-indigenous populations are prevalent internationally and engagement of indigenous populations in health research is necessary to understand and address these disparities. Using LiLACS NZ data, this study reports the association of PIP with hospitalisations and mortality prospectively over 36-months follow-up. METHODS: PIP, from pharmacist applied criteria, was reported as potentially inappropriate medicines (PIMs) and potential prescribing omissions (PPOs). The association between PIP and hospitalisations (all-cause, cardiovascular disease-specific and ambulatory-sensitive) and mortality was determined throughout a series of 12-month follow-ups using binary logistic (hospitalisations) and Cox (mortality) regression analysis, reported as odds ratios (ORs) and hazard ratios (HRs), respectively, and the corresponding confidence intervals (CIs). RESULTS: Full demographic data were obtained for 267 Maori and 404 non-Maori at baseline, 178 Maori and 332 non-Maori at 12-months, and 122 Maori and 281 non-Maori at 24-months. The prevalence of any PIP (i.e. ≥1 PIM and/or PPO) was 66, 75 and 72% for Maori at baseline, 12-months and 24-months, respectively. In non-Maori, the prevalence of any PIP was 62, 71 and 73% at baseline, 12-months and 24-months, respectively. At each time-point, there were more PPOs than PIMs; at baseline Maori were exposed to a significantly greater proportion of PPOs compared to non-Maori (p = 0.02). In Maori: PPOs were associated with a 1.5-fold increase in hospitalisations and mortality. In non-Maori, PIMs were associated with a double risk of mortality. CONCLUSIONS: PIP was associated with an increased risk of hospitalisation and mortality in this cohort. Omissions appear more important for Maori in predicting hospitalisations, and PIMs were more important in non-Maori in predicting mortality. These results suggest understanding prescribing outcomes across and between population groups is needed and emphasises prescribing quality assessment is useful.
Assuntos
Prescrição Inadequada/mortalidade , Admissão do Paciente/tendências , Lista de Medicamentos Potencialmente Inapropriados/tendências , Idoso de 80 Anos ou mais , Estudos de Coortes , Feminino , Seguimentos , Previsões , Hospitalização/tendências , Humanos , Prescrição Inadequada/tendências , Estudos Longitudinais , Masculino , Mortalidade/tendências , Nova Zelândia/epidemiologiaRESUMO
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.
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Doenças do Tecido Conjuntivo/complicações , Doenças do Tecido Conjuntivo/epidemiologia , Divertículo/complicações , Divertículo/epidemiologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Divertículo/diagnóstico , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Razão de ChancesRESUMO
Background: multi-morbidity is associated with poor outcomes and increased healthcare utilisation. We aim to identify multi-morbidity patterns and associations with potentially inappropriate prescribing (PIP), subsequent hospitalisation and mortality in octogenarians. Methods: life and Living in Advanced Age; a Cohort Study in New Zealand (LiLACS NZ) examined health outcomes of 421 Maori (indigenous to New Zealand), aged 80-90 and 516 non-Maori, aged 85 years in 2010. Presence of 14 chronic conditions was ascertained from self-report, general practice and hospitalisation records and physical assessments. Agglomerative hierarchical cluster analysis identified clusters of participants with co-existing conditions. Multivariate regression models examined the associations between clusters and PIP, 48-month hospitalisations and mortality. Results: six clusters were identified for Maori and non-Maori, respectively. The associations between clusters and outcomes differed between Maori and non-Maori. In Maori, those in the complex multi-morbidity cluster had the highest prevalence of inappropriately prescribed medications and in cluster 'diabetes' (20% of sample) had higher risk of hospitalisation and mortality at 48-month follow-up. In non-Maori, those in the 'depression-arthritis' (17% of the sample) cluster had both highest prevalence of inappropriate medications and risk of hospitalisation and mortality. Conclusions: in octogenarians, hospitalisation and mortality are better predicted by profiles of clusters of conditions rather than the presence or absence of a specific condition. Further research is required to determine if the cluster approach can be used to target patients to optimise resource allocation and improve outcomes.
Assuntos
Envelhecimento , Causas de Morte/tendências , Hospitalização/tendências , Multimorbidade/tendências , Fatores Etários , Idoso de 80 Anos ou mais , Feminino , Avaliação Geriátrica , Humanos , Prescrição Inadequada/tendências , Masculino , Havaiano Nativo ou Outro Ilhéu do Pacífico , Nova Zelândia/epidemiologia , Polimedicação , Lista de Medicamentos Potencialmente Inapropriados/tendências , Prognóstico , Medição de Risco , Fatores de Risco , Fatores de TempoRESUMO
This study explored active aging for older Maori and non-Maori by examining their self-nominated important everyday activities. The project formed part of the first wave of a longitudinal cohort study of aging well in New Zealand. Maori aged 80 to 90 and non-Maori aged 85 were recruited. Of the 937 participants enrolled, 649 answered an open question about their three most important activities. Responses were coded under the World Health Organization's International Classification of Functioning, Disability and Health (ICF), Activities and Participation domains. Data were analyzed by ethnicity and gender for first in importance, and all important activities. Activity preferences for Maori featured gardening, reading, walking, cleaning the home, organized religious activities, sports, extended family relationships, and watching television. Gendered differences were evident with walking and fitness being of primary importance for Maori men, and gardening for Maori women. Somewhat similar, activity preferences for non-Maori featured gardening, reading, and sports. Again, gendered differences showed for non-Maori, with sports being of first importance to men, and reading to women. Factor analysis was used to examine the latent structural fit with the ICF and whether it differed for Maori and non-Maori. For Maori, leisure and household activities, spiritual activities and interpersonal interactions, and communicating with others and doing domestic activities were revealed as underlying structure; compared to self-care, sleep and singing, leisure and work, and domestic activities and learning for non-Maori. These findings reveal fundamental ethnic divergences in preferences for active aging with implications for enabling participation, support provision and community design.
Assuntos
Atividades Cotidianas/psicologia , Comportamento do Consumidor , Envelhecimento Saudável , Atividades de Lazer , Havaiano Nativo ou Outro Ilhéu do Pacífico , Idoso de 80 Anos ou mais , Relações Familiares/etnologia , Relações Familiares/psicologia , Feminino , Envelhecimento Saudável/etnologia , Envelhecimento Saudável/fisiologia , Envelhecimento Saudável/psicologia , Humanos , Classificação Internacional de Funcionalidade, Incapacidade e Saúde/normas , Classificação Internacional de Funcionalidade, Incapacidade e Saúde/estatística & dados numéricos , Atividades de Lazer/classificação , Atividades de Lazer/psicologia , Masculino , Havaiano Nativo ou Outro Ilhéu do Pacífico/etnologia , Havaiano Nativo ou Outro Ilhéu do Pacífico/psicologia , Nova Zelândia/epidemiologia , Fatores SexuaisRESUMO
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.
Assuntos
Envelhecimento , Assistência de Longa Duração/tendências , Admissão do Paciente/tendências , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Feminino , Pesquisas sobre Atenção à Saúde , Nível de Saúde , Humanos , Masculino , Pessoa de Meia-Idade , Nova Zelândia , Prognóstico , Fatores de Risco , Fatores de Tempo , Adulto JovemRESUMO
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.
Assuntos
Instituição de Longa Permanência para Idosos/organização & administração , Comunicação Interdisciplinar , Assistência de Longa Duração/organização & administração , Casas de Saúde/organização & administração , Admissão do Paciente/estatística & dados numéricos , Idoso , Idoso de 80 Anos ou mais , Análise por Conglomerados , Intervalos de Confiança , Feminino , Avaliação Geriátrica , Mortalidade Hospitalar/tendências , Hospitalização/estatística & dados numéricos , Humanos , Masculino , Nova Zelândia , Equipe de Assistência ao Paciente/organização & administração , Modelos de Riscos Proporcionais , Medição de Risco , Análise de SobrevidaRESUMO
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.
Assuntos
Mortalidade , Instituições Residenciais/estatística & dados numéricos , Fatores Etários , Idoso de 80 Anos ou mais , Estudos de Coortes , Feminino , Avaliação Geriátrica , Humanos , Modelos Logísticos , Masculino , Nova Zelândia/epidemiologia , Curva ROC , Fatores de Risco , Fatores SexuaisRESUMO
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.
Assuntos
Serviços de Saúde para Idosos/estatística & dados numéricos , Hospitais/estatística & dados numéricos , Instituições para Cuidados Intermediários , Idoso , Idoso de 80 Anos ou mais , Coleta de Dados , Feminino , Hospitalização , Humanos , Assistência de Longa Duração , Masculino , Nova ZelândiaRESUMO
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.
Assuntos
Hospitalização , Aposentadoria , Humanos , Feminino , Idoso , Masculino , Estudos Retrospectivos , Nova Zelândia/epidemiologiaRESUMO
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.
Assuntos
Instituição de Longa Permanência para Idosos/tendências , Hospitalização/tendências , Casas de Saúde/tendências , Equipe de Assistência ao Paciente/tendências , Idoso , Idoso de 80 Anos ou mais , Seguimentos , Humanos , Nova Zelândia/epidemiologia , Instituições Residenciais/métodos , Instituições Residenciais/tendênciasRESUMO
BACKGROUND: The number of people of advanced age (85 years and older) is increasing and health systems may be challenged by increasing health-related needs. Recent overseas evidence suggests relatively high levels of wellbeing in this group, however little is known about people of advanced age, particularly the indigenous Maori, in Aotearoa, New Zealand. This paper outlines the methods of the study Life and Living in Advanced Age: A Cohort Study in New Zealand. The study aimed to establish predictors of successful advanced ageing and understand the relative importance of health, frailty, cultural, social & economic factors to successful ageing for Maori and non-Maori in New Zealand. METHODS/DESIGN: A total population cohort study of those of advanced age. Two cohorts of equal size, Maori aged 80-90 and non-Maori aged 85, oversampling to enable sufficient power, were enrolled. A defined geographic region, living in the Bay of Plenty and Lakes District Health Board areas of New Zealand, defined the sampling frame. Runanga (Maori tribal organisations) and Primary Health Organisations were subcontracted to recruit on behalf of the University. Measures--a comprehensive interview schedule was piloted and administered by a trained interviewer using standardised techniques. Socio-demographic and personal history included tribal affiliation for Maori and participation in cultural practices; physical and psychological health status used standardised validated research tools; health behaviours included smoking, alcohol use and nutrition risk; and environmental data included local amenities, type of housing and neighbourhood. Social network structures and social support exchanges are recorded. Measures of physical function; gait speed, leg strength and balance, were completed. Everyday interests and activities, views on ageing and financial interests complete the interview. A physical assessment by a trained nurse included electrocardiograph, blood pressure, hearing and vision, anthropometric measures, respiratory function testing and blood samples. DISCUSSION: A longitudinal study of people of advanced age is underway in New Zealand. The health status of a population based sample of older people will be established and predictors of successful ageing determined.
Assuntos
Envelhecimento/etnologia , Comportamentos Relacionados com a Saúde/etnologia , Havaiano Nativo ou Outro Ilhéu do Pacífico/etnologia , Qualidade de Vida , Idoso de 80 Anos ou mais , Envelhecimento/psicologia , Estudos de Coortes , Estudos de Viabilidade , Feminino , Humanos , Estudos Longitudinais , Masculino , Havaiano Nativo ou Outro Ilhéu do Pacífico/psicologia , Nova Zelândia/etnologia , Qualidade de Vida/psicologia , Inquéritos e QuestionáriosRESUMO
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.
Assuntos
Artrite , Aposentadoria , Humanos , Feminino , Idoso , Idoso de 80 Anos ou mais , Masculino , Estudos Transversais , Prevalência , Nova Zelândia/epidemiologia , Dor/epidemiologia , Fadiga/epidemiologia , Artrite/epidemiologiaRESUMO
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.
Assuntos
Atividades Cotidianas , Aposentadoria , Idoso , Hospitalização , Humanos , Assistência de Longa Duração , Aceitação pelo Paciente de Cuidados de Saúde , Estudos Prospectivos , Fatores de RiscoRESUMO
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.
Assuntos
Assistência de Longa Duração , Aposentadoria , Idoso , Idoso de 80 Anos ou mais , Feminino , Hospitalização , Humanos , Incidência , Masculino , Modelos de Riscos ProporcionaisRESUMO
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.
Assuntos
Necessidades e Demandas de Serviços de Saúde/tendências , Instituição de Longa Permanência para Idosos/tendências , Casas de Saúde/tendências , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Feminino , Pesquisas sobre Atenção à Saúde , Serviços de Assistência Domiciliar/tendências , Instituição de Longa Permanência para Idosos/estatística & dados numéricos , Número de Leitos em Hospital , Hospitalização/tendências , Humanos , Masculino , Avaliação das Necessidades/tendências , Nova Zelândia , Casas de Saúde/estatística & dados numéricos , Fatores de TempoRESUMO
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.