Spatial equity of physiotherapy accessibility in Aotearoa New Zealand in relation to Māori and Pacific ethnicity, socioeconomic deprivation, and rurality.

Determining geographic accessibility of family physician and nurse practitioner services in relation to the distribution of seniors within two Canadian Prairie Provinces

Disparities in care access for health conditions where physiotherapy can play a major role are abetting health inequities. Spatial analyses can contribute to illuminating inequities in health yet the geographic accessibility to physiotherapy care across New Zealand has not been examined. This population-based study evaluated the accessibility of the New Zealand physiotherapy workforce relative to the population at a local scale. The locations of 5,582 physiotherapists were geocoded and integrated with 2018 Census data to generate 'accessibility scores' for each Statistical Area 2 using the newer 3-step floating catchment area method. For examining the spatial distribution and mapping, accessibility scores were categorized into seven levels, centered around 0.5 SD above and below the mean. New Zealand has an above-average physiotherapy-to-population ratio compared with other OECD countries; however, this workforce is maldistributed. This study identified areas (and locations) where geographic accessibility to physiotherapy care is relatively low.

Temporal trends in sepsis hospitalisations and mortality in Aotearoa New Zealand, 2000–2019: a population-based study

To explore socio-demographic characteristics of non-attenders at diabetic retinal screening. A retrospective, register-based cross-sectional analysis of 10,275 participants invited to diabetic retinal screening in Te Tai Tokerau (Northland) between May 2011 and June 2020 was performed. Multivariable logistic regression analysis was used to assess the association of age, sex, type of diabetes, ethnicity and socio-economic deprivation with non-attendance at diabetic retinal screening. Median age was 66 years and 54.3% of participants were male. The non-attendance rate was 26.4%, with 46.6% of individuals having at least one non-attendance. Younger age was associated with higher odds of non-attendance (OR 1.84 95% CI 1.41-2.40, <0.001 for odds of non-attendance in those aged under 35 years compared with age over 75 years). Māori (OR 2.69, 95% CI 2.44-2.96, p<0.001) and Pacific peoples (OR 1.71, 95% CI 1.25-2.36, p=0.001) had higher odds of non-attendance compared with NZ Europeans. People living in areas of high socio-economic deprivation had higher odds of non-attendance (OR 1.56, 95% CI 1.33-1.82, p<0.001), as did type 1 diabetics (OR 1.31, p5% CI 1.08-1.59, p=0.006). Younger age, socio-economic deprivation, type 1 diabetes and Māori and Pacific ethnicity are risk factors for nonattendance at diabetic retinal screening.

BackgroundHealth workforce planning capability at a regional level is increasingly necessary to ensure that the healthcare needs of defined local populations can be met by the health workforce. In 2016, a regional health authority in Toronto, Canada, identified a need for more robust health workforce planning infrastructure and processes. The goal of this project was to develop an evidence-informed toolkit for integrated, multi-professional, needs-based primary care workforce planning for the region. This article presents the quantitative component of the workforce planning toolkit and describes the process followed to develop this tool.MethodsWe conducted an environmental scan to identify datasets addressing population health need and profession-specific health workforce supply that could contribute to quantitative health workforce modelling. We assessed these sources of data for comprehensiveness, quality, and availability. We also developed a quantitative health workforce planning model to assess the alignment of regional service requirements with the service capacity of the workforce.ResultsThe quantitative model developed as part of the toolkit includes components relating to both population health need and health workforce supply. Different modules were developed to capture the information and address local issues impacting delivery and planning of primary care health services in Toronto.ConclusionsA quantitative health workforce planning model is a necessary component of any health workforce planning toolkit. In combination with qualitative tools, it supports integrated, multi-professional, needs-based primary care workforce planning. This type of planning presents an opportunity to address inequities in access and outcome for regional populations.

This paper examines the possibility of including families, particularly mothers, within the health workforce using the human resource for health planning model to improve newborn outcomes. In many low- and middle-income countries, there is a critical shortage of healthcare providers which impacts care for the neonatal population. A maternal and newborn health need that is prevalent in such countries is the care available between pregnancy and the postnatal period, where significant maternal and newborn deathsoccur. Using the population health need of the neonatal population in Tanzania, this paper explores the opportunity to include mothers as an additional human resource for health within the Needs-Based Health Human Resources and Health Systems Planning model. In relation to educating and engaging family caregivers, the possible extension of the health workforce to include mothers as a response to meeting the healthcare needs of the neonatal population has yet to be explored. Through mothers and healthcare providers working together to address the population health need of essential newborn care, it offers a way forward for planning the resources needed in a health system. If utilized, mothers offer the opportunity to supplement the demand for human resources for health in the provision of newborn care, without replacing healthcare providers. Mothers as potential members of the health workforce furthers the health system as a whole whereby population health needs are addressed and newborn mortality declines. To solve the critical gap based on the supply of and demand for providers including doctors, nurses and midwives, a broader look at innovative solutions is essential. Mothers offer the opportunity to supplement the available human resources for health in the provision of newborn care, thus helping to close existing gaps.

Healthcare services are one of the twelve determinants of population health. While all types of healthcare services are important, timely access to hospital-based care when needed is critical. For three decades, long waits and wait lists for hospital admission and inpatient care have been a concern in Canada. Undersupply of hospital beds to meet population needs may be the cause of this as hospitals were downsized due to government funding cutbacks and hospital expansion has not occurred since despite population growth and aging. The availability of hospital beds for palliative population health needs may therefore be an issue, particularly as longstanding concern exists about terminally-ill and dying people being frequently admitted to hospital and having long hospital stays. A decline in hospital deaths in many developed countries, including Canada, could indicate that palliative population needs for hospital-based care are not being met. This paper compares the number of hospitals and hospital beds that exist in 9 Canadian provinces and 15 developed countries in relation to population and spatial considerations in an attempt to determine an optimal number of hospital beds for the general public and thus also palliative population health needs. Methods: Document analysis. Publicly-available hospital, population, and geographic information was sought for 9 Canadian provinces and 15 developed countries and compared. Results: Major differences in citizen to hospital bed ratios and citizen to hospital ratios across provinces and countries were found. The availability of hospitals and hospital beds clearly varies. Conclusion: Some regions may have too few hospitals and hospital beds to meet the palliative and other care needs of their citizens. Sufficient beds should exist so necessary admissions to hospital can occur without harmful delay.

Study ObjectivesTo investigate the proportion of children in Aotearoa New Zealand (NZ) who do or do not meet sleep duration and sleep quality guidelines at 24 and 45 months of age and associated sociodemographic factors.MethodsParticipants were children (n = 6490) from the Growing Up in New Zealand longitudinal study of child development with sleep data available at 24 and/or 45 months of age (48.2% girls, 51.8% boys; 22.4% Māori [the Indigenous people of NZ], 12.9% Pacific, 13.4% Asian, 45.2% European/Other). Relationships between sociodemographic factors and maternally reported child sleep duration (across 24 hours) and night wakings were investigated cross-sectionally and longitudinally. Estimates of children in NZ meeting sleep guidelines were calculated using a range of analytical techniques including Bayesian linear regression, negative binomial multiple regression, and growth curve models.ResultsIn NZ, 29.8% and 19.5% of children were estimated to have a high probability of not meeting sleep duration guidelines and 15.4% and 8.3% were estimated to have a high probability of not meeting night waking guidelines at 24 and 45 months respectively, after controlling for multiple sociodemographic variables. Factors associated cross-sectionally with children’s sleep included ethnicity, socioeconomic deprivation, material standard of living, rurality, and heavy traffic, and longitudinal sleep trajectories differed by gender, ethnicity, and socioeconomic deprivation.ConclusionsA considerable proportion of young children in NZ have a high probability of not meeting sleep guidelines but this declines across the ages of 24 and 45 months. Sleep health inequities exist as early as 24 months of age in NZ.

Purpose: This research examined the association between the distribution of physiotherapists in Saskatchewan relative to population health characteristics and self-reported physiotherapy use. Methods: Using a cross-sectional design, de-identified data were collected from the 2013 Saskatchewan College of Physical Therapy membership renewals (n=643), and Saskatchewan population health characteristics data were obtained from the 2009-2012 Canadian Community Health Surveys (CCHSs). Age- and sex-adjusted proportions of selected population health characteristics were calculated and stratified by health region and rural-urban location; both were determined, for physiotherapists and CCHS participants, using postal codes. The association between physiotherapy distribution and physiotherapy use was calculated, and geospatial mapping techniques were used to display physiotherapist distribution across the province relative to population health characteristics. Results: Across health regions, a positive correlation (r=0.655, p<0.029) was found between physiotherapist distribution and self-reported physiotherapy use. Mapping population health characteristics according to physiotherapist distribution demonstrated an imbalance between supply and distribution of physiotherapists and population health needs and demands. Conclusion: There is a discrepancy in Saskatchewan among the distribution of physiotherapists, self-reported physiotherapy use, and population health characteristics, especially in rural settings. These findings provide insight into which areas are in need of increased physiotherapy services.

Health status and healthy life measures for population health need assessment: modelling variability and uncertainty

Background: The paediatric use of ophthalmic chloramphenicol in New Zealand (NZ) is relatively high; however, little more is known about its utilisation, including whether this is equitable. This study aimed to describe chloramphenicol utilisation in NZ children aged five years and under, by patient ethnicity, socioeconomic deprivation, and urban/non-urban domicile. Methods: This analysis included every publicly subsidised chloramphenicol dispensing received from birth to five years of age, for every child born in NZ in 2013. Cumulative proportion of first exposure, dispensing rate per person-year, and seasonality of dispensing were quantified. These were calculated following stratification by ethnicity, socioeconomic deprivation quintile, and urban/non-urban health district. For cumulative proportion of first exposure, odds ratios (OR) were calculated and multivariate logistic regression was performed. For dispensing rate, incidence rate ratios (IRR) were calculated and zero-inflated Poisson regression was performed. Results: Almost one-quarter of NZ children received their first dispensing within the first year of life. By five years of age, 55.2% of children had received their first dispensing. By five years of age, children of Pacific ethnicity, those in the highest deprivation quintile, and in those non-urban health districts had lower odds of receiving chloramphenicol (adjusted OR 0.90, 0.79, and 0.81, respectively, all p &lt; 0.001). In contrast, children of Māori ethnicity had higher odds (adjusted OR 1.99, p &lt; 0.001). Māori and Pacific ethnicity, and residence in non-urban health districts, were associated with fewer dispensings (adjusted IRR 0.88, 0.75 and 0.87, all p &lt; 0.001). In contrast, deprivation quintile was not significantly associated with dispensing rate. Conclusion: Chloramphenicol utilisation is prevalent among NZ children, and utilisation may be lower among children of Pacific ethnicity and those in non-urban areas

Background Pacific Peoples living in Aotearoa New Zealand (NZ) have higher rates of type 2 diabetes (T2D) and have benefited less from improvements in cardiovascular health outcomes when compared with other populations in NZ. DNA methylation markers of T2D have been identified in non-Pacific populations and could be used to monitor the cumulative effects of T2D on cardiovascular disease risk. However, no study has yet investigated the relationships between T2D and DNA methylation in Pacific Peoples living in NZ. Purpose This study aimed to quantify the relationship between DNA methylation and T2D in two cohorts of Pacific Peoples living in NZ. Methods Whole-blood DNA methylation at over 850,000 loci was measured on Illumina MethylationEPIC arrays in 288 Pacific participants from the Pasifika Heart Study (PHS, n=191), a community cohort, and the Multi-Ethnic NZ Study of Acute Coronary Syndromes (MENZACS, n=97), a cohort of patients with acute coronary syndromes. In the PHS, the median age was 41 years, and 98 (51%) participants were female. In MENZACS, the median age was 53 years, and 18 (19%) participants were female. In both cohorts, T2D cases were defined by either previous diagnosis (n=58) or had an HbA1c measurement &amp;gt;58 mmol/mol (n=7). We compared 65 participants with T2D and 223 participants without T2D of Samoan (n=116), Tongan (n=66), Fijian (n=61), Cook Island Māori (n=22), Niuean (n=9), or of Other/Multiple Pacific (n=14) ethnicity in a meta epigenome-wide association study (EWAS). EWAS comparisons were adjusted for age, sex, and imputed blood cell composition. We compared the difference in means at differentially methylated loci between the European and Pacific MENZACS participants using a two-sample z statistic. For the 525 European participants, 85 had T2D, the median age was 57 years, and 149 (28%) were female. Results One locus cg19693031, in the thioredoxin interacting protein (TXNIP) gene, exhibited differential methylation between those with T2D and those without in the meta EWAS (false discovery rate =6.9x10-9). In the PHS we observed a mean reduction in cg19693031 methylation of 7.0% (95% CI, 5.0, 8.9) between those with T2D and those without. Similarly in the MENZACS Pacific participants we observed a mean reduction in cg19693031 methylation of 10.9% (95% CI, 7.6, 12.4) between those with T2D and those without. The MENZACS European participants with T2D had a mean reduction in cg19693031 methylation of 6.5% (95% CI, 5.3, 7.7, p&amp;lt;0.001) compared to those without T2D. The difference in means in T2D cases and controls between MENZACS Pacific and European participants was non-significant (p =0.08). Conclusion DNA methylation at cg19693031 is associated with T2D in Pacific Peoples living in NZ and may be a sensitive marker of T2D in Pacific Peoples with acute coronary syndromes. DNA methylation at this locus may provide valuable information on the relationship between T2D and cardiovascular disease.Miami plot of Pacific T2D EWAST2D methylation by population in MENZACS

Providing maternity care for disadvantaged women in Aotearoa New Zealand: The impact on midwives

To compare the distribution of Māori and New Zealand (NZ) European populations in Aotearoa New Zealand by neighbourhood deprivation, for the five censuses between 1991 and 2013, and to identify changes in the distribution pattern over time. Geographical meshblock data from the 1991-2013 New Zealand censuses, by NZDep Index deprivation score, and by prioritised ethnic group population, were combined to analyse ethnic population counts by deprivation decile and deprivation score. Trends over time were analysed. Māori were over-represented in the more deprived NZDep deciles and under-represented in the least deprived deciles for all census periods. The NZ European population were over-represented in the least deprived deciles, and under-represented in the more deprived deciles. In each census, over 40% of the Māori population have been living in the two most deprived deciles, compared to less than 15% for NZ European. The patterns of inequity in socio-economic deprivation between Māori and NZ Europeans have remained virtually unchanged since 1991, despite various Government commitments to reduce inequity. Socio-economic deprivation for Māori is a key determinant of health inequity, and bolder Government measures prioritised for Māori are needed to change this socio-economic gradient if health equity goals are to be met.

BackgroundMethods for collecting self-reported health status measures in population health surveys vary significantly across countries, presenting challenges to comparability. The EuroQol Data for Assessment of Population Health Needs and Instrument Evaluation (EQ-DAPHNIE) project aims to address this issue by developing infrastructure to generate representative datasets across multiple countries. This initiative aims to standardize data collection methodologies and to evaluate the performance of various health status measures, providing a foundation for reliable population health assessments. This paper describes the rationale, design and data collection methods for the EQ-DAPHNIE project.Methods/designEQ-DAPHNIE employs a cross-sectional online survey design targeting the general adult population across various countries. Participants were recruited through an online panel provider. Each country had a target sample of 4500 responses, with quota sampling to ensure representativeness based on age, sex, income, region, and language. The survey collected comprehensive data on social determinants of health at both individual and neighbourhood levels. Participation was voluntary, and measures were taken to maintain data anonymity and ensure data quality through pre-testing and various quality assurance approaches.DiscussionThe EQ-DAPHNIE project represents a significant advancement in generating large, representative, and comparable population health datasets across multiple countries. By employing precise sampling strategies, robust recruitment and data collection methods, and rigorous quality control measures, the project aims to provide a valuable resource for assessing and understanding population health and evaluating various health-related quality of life (HRQoL) and wellbeing instruments.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11136-025-03983-2.