Ageing, loneliness, and the geographic distribution of New Zealand's interRAI-HC cohort.

Loneliness is a significant negative predictor of ageing well and a contra-indicator for resilience against requiring long-term residential care. Health geographers can contribute to the loneliness and ageing literature through examining how exposures in the physical and social landscape can affect positive and negative health outcomes. As well as improving individual experiences of ageing, spatial analysis may help to contribute to better understandings of loneliness and help reduce the $1.7 billion per annum New Zealand currently spends on publicly-funded aged residential care. Using New Zealand Home Care International Residential Assessment Instrument data from 2012 to 2016, the spatial distribution of the interRAI-HC cohort was examined. Urban and rural distribution, socioeconomic status, and ethnicity within the interRAI-HC cohort was compared against total population and population aged 65 plus. Relative to the socioeconomic status of the 65 plus cohort, those being interRAI-HC assessed were more likely to live in socially deprived areas. Socioeconomic deprivation also positively correlated with loneliness (OR = 1.002). Carer stress was negatively correlated with socioeconomic status (OR = 0.99). Those in rural areas were predicted to be less lonely than urban dwellers (OR = 0.98), and this observation remained similar and significant when socioeconomic status, the experience of negative social interactions or carer stress, and whether they lived alone were included. Living in rural areas had a protective effect against loneliness for all ethnic groups apart from Pasifika. 'Hot' and 'cold' clusters of loneliness were identified, with the distribution of interRAI-HC assessments in hot clusters less likely to be rural areas (OR = 0.71). Our findings did not diverge greatly from prior research on older people and loneliness in rural areas. Observations of regional differences regarding rurality and socioeconomic status did not show large differences, and this research will benefit in future from analysis at finer geographic scale.

Population access to hospital emergency departments and the impacts of health reform in New Zealand.

In the current political climate of evidence-based research, GIS has emerged as a powerful research tool as it allows spatial and social health inequality to be explored efficiently. This article explores the impact health reforms had on geographical accessibility to hospital emergency department (ED) services in New Zealand from 1991 to 2001. Travel time was calculated using least-cost path analysis, which identified the shortest travel time from each census enumeration district through a road network to the nearest ED. This research found that the population further than 60 minutes from an ED has increased with some areas being affected more than others. Some of this increase is attributed to increases in population rather than the closing of hospitals. The findings will be discussed within the context of the health policy reform era and changes to health service provision.

Social and spatial inequalities in Rotaviral enteritis: a case for universally funded vaccination in New Zealand.

AIMS: Rotaviruses have long been recognised as the most common cause of diarrhoea-related childhood morbidity and mortality worldwide. The benefits of national rotavirus vaccination programmes have been proven, with estimates of the reduction in hospital stays ranging from 70% to 90%. Previous work has found spatial variation in rotaviral rates between areas in Australia and Germany. This study sought to identify spatial and spatio-temporal variation in clustering of high and low neighbourhood rates of paediatric hospital admissions for RV disease in Auckland, New Zealand for the period 2006-2011. METHODS: Annual clusters of rotavirus hospitalisations were identified using a Local Moran's I Index from ArcGIS. Spatio-temporal variation during the study period used a retrospective spatial variation in temporal trends scan statistic in SatScan. RESULTS: Annual clusters of high and low rotavirus rates were identified for each year of the study and the spatio-temporal scan statistic confirmed that spatial clustering of rotavirus rates had shifted significantly during the study period. CONCLUSIONS: This research suggests that targeted rotaviral intervention is inappropriate and supports the introduction of a fully funded rotavirus vaccine in New Zealand in 2014.

Comprehensive clinical assessment of home-based older persons within New Zealand: an epidemiological profile of a national cross-section.

OBJECTIVE: Since 2012, all community care recipients in New Zealand have undergone a standardised needs assessment using the Home Care International Residential Assessment Instrument (interRAI-HC). This study describes the national interRAI-HC population, assesses its data quality and evaluates its ability to be matched. METHODS: The interRAI-HC instrument elicits information on 236 questions over 20 domains; conducted by 1,800+ trained health professionals. Assessments between 1 July 2012 and 30 June 2014 are reported here. Stratified by age, demographic characteristics were compared to 2013 Census estimates and selected health profiles described. Deterministic matching to the Ministry of Health's mortality database was undertaken. RESULTS: Overall, 51,232 interRAI-HC assessments were conducted, with 47,714 (93.1%) research consent from 47,236 unique individuals; including 2,675 Maori and 1,609 Pacific people. Apart from height and weight, data validity and reliability were high. A 99.8% match to mortality data was achieved. CONCLUSIONS: The interRAI-HC research database is large and ethnically diverse, with high consent rates. Its generally good psychometric properties and ability to be matched enhances its research utility. IMPLICATIONS: This national database provides a remarkable opportunity for researchers to better understand older persons' health and health care, so as to better sustain older people in their own homes.