AIMS:Life expectancy in Aotearoa New Zealand has increased over recent decades, but these increases have not been distributed equally across population groups. Examining how changes in cause-specific mortality have contributed to changes in life expectancy can improve understanding of evolving mortality patterns and persistent inequities. This study quantified the contribution of major causes of death to changes in life expectancy over approximately two decades. METHODS:Mortality data from the New Zealand Mortality Collection and population estimates from Statistics New Zealand were used to calculate life expectancy at birth for Māori, Pacific, Asian, and European and Other populations for the periods 2001-2003 and 2020-2022. Changes in life expectancy were decomposed by age and cause of death using the Arriaga method. Deaths were grouped into major disease categories and selected individual causes to estimate their contribution to the change in life expectancy. RESULTS:Life expectancy increased for all ethnic groups, with the largest absolute increases observed among Māori. Improvements were driven primarily by reductions in mortality at adult and older ages. Across all ethnic and sex groups, declines in cardiovascular disease and cancer mortality accounted for more than half of the total change in life expectancy. Reductions in mortality from diabetes and smoking-related conditions also contributed to increases among Māori and Pacific peoples. Despite these improvements, substantial ethnic inequities in life expectancy remain. CONCLUSION:Increases in life expectancy in Aotearoa New Zealand between 2001-2003 and 2020-2022 were driven largely by reductions in mortality from major non-communicable diseases, primarily cardiovascular disease and cancer. Māori experienced some narrowing of the life expectancy gap relative to European and Other populations, whereas the gap for Pacific peoples remained largely unchanged. Despite overall improvement, substantial inequities persist. Further increases are likely to depend on strengthening primary prevention, particularly reductions in smoking and cardiovascular risk factors, alongside improved participation in screening and early detection programmes, including the potential role of lung cancer screening, and ensuring equitable access across care pathways.

Objectives Older people residing in retirement villages (RVs) (elsewhere called continuing care retirement communities) are thought to live in a relatively age-friendly environment. Many RVs have facilities and resources for health care and home-based supports and opportunities for physical activity and social engagement. Living within such environments may influence changes in frailty. Design Longitudinal cohort study. Setting and Participants A total of 578 residents from 33 RVs. Methods Resident international Resident Assessment Instrument data, used to develop the frailty index, and village-level data (by survey) were collected at baseline. Participants were reassessed with the international Resident Assessment Instrument 2.5 years later. Analysis of factors associated with worsening frailty or death was performed with multivariable logistic regression. Results At follow-up, 47 participants had died, and a further frailty index was calculated in 478 participants. Within the entire cohort, 289 (55.0%) stayed within the same frailty category, 23 (4.4%) improved, and 166 (31.6%) worsened in frailty status during a mean of 2.5 years. Aged >90 years at baseline [odds ratio (OR), 3.34; 95% CI, 1.61-6.93; P = .001], poor/fair quality of life (OR, 2.94; 95% CI, 1.35-6.40; P = .007), participation in social activities of long-standing interest in the last 30 days (comparator within 3 days: OR, 1.99; 95% CI, 1.06-3.71; P = .03), and villages owned by not-for-profit organizations (OR, 1.71; 95% CI, 1.06-2.77; P = .03) were associated with higher odds of worsening frailty status or death. There was a borderline significant association with not visiting a dentist in the past 12 months (OR, 1.43; 95% CI, 0.98-2.08; P = .07), with significance found on sensitivity analysis (OR, 1.57; 95% CI, 1.08-2.26; P = .02). Conclusions and Implications In older adults residing in presumed age-friendly communities, individual and RV-level factors were associated with worsening frailty or death, some of which are modifiable. Further research addressing differences between RV ownership models and how this influences frailty is needed. Understanding how the wider social and physical environment influences frailty is essential for designing frailty prevention strategies at the neighborhood level and in the creation of frailty-friendly and preventative environments.

OBJECTIVES:Housing quality has significant impact on the wider determinants of health and quality of life (QoL). Retirement villages are considered age-friendly accommodation for community-dwelling older people, offering a variable range of services and supports. We wished to explore the relationship among frailty, QoL, and resilience in older people residing in retirement villages. DESIGN:Cross-sectional analysis within a longitudinal study. SETTING AND PARTICIPANTS:Residents from 33 retirement villages in Auckland, Aotearoa, New Zealand. METHODS:Frailty [using an interRAI-Community Health Assessment-based frailty index FI)], QoL [World Health Organization Quality of Life-Brief Version (WHOQOL-BREF) and WHOQOL-Older Adults Module (WHOQOL-OLD)], and resilience [Brief Resilience Scale (BRS)]. Associations among frailty, QoL, and resilience were examined using regression analysis adjusting for confounders. RESULTS:Mean (SD): FI 0.2 (0.1) in 479 residents, BRS 3.7 (0.8) in 395 residents, WHOQOL-OLD total score 69.9 (12.2). FI was inversely related to BRS [adjusted mean difference (MD) -0.35; 95% CI -0.43 to -0.26; P < .001] and WHOQOL-OLD (MD, -5.45; 95% CI -6.89 to 4.01; P < .001). FI inverse relationship was seen across all facets of WHOQOL-OLD and all WHOQOL-BREF facets except psychological. CONCLUSIONS AND IMPLICATIONS:Frailty was inversely related to resilience and multiple domains of QoL in those living in presumed age-friendly and relatively resource-rich environments. Studies exploring causal relationships between these facets could inform interventions necessary to improve QoL and resilience in those living with frailty. Specific multidimensional needs, wishes, and concerns of older people living with frailty needs to be explored in order to potentially intervene on frailty, QoL, and resilience.

Since the early studies exploring the use of SMS text messaging for health intervention, text messaging has played a pivotal role in the advancement of mobile health. As an intervention modality, text messaging has provided vital learnings for the design and delivery of interventions, particularly in low-resource settings. Despite the advances in technology over the last 25 years, text messaging is still being used in largely the same way to deliver health information, behavior change interventions, and support. The strong, consistent evidence for the benefits of this type of intervention has made text messaging a routine part of health interventions around the world. Key to its success is its simplicity, alongside the benefit of being arguably the most accessible form of consumer digital health intervention. Text message interventions are well suited for public health interventions due to their low cost, vast reach, frequent use, high read rates, and ability to be tailored and personalized. Furthermore, the nature of text messaging interventions makes them ideal for the delivery of multilingual, culturally tailored interventions, which is important in the context of increasing cultural diversity in many countries internationally. Indeed, studies assessing text message–based health interventions have shown them to be effective across sociodemographic and ethnic groups and have led to their adoption into national-level health promotion programs. With a growing focus on artificial intelligence, robotics, sensors, and other advances in digital health, there is an opportunity to integrate these technologies into text messaging programs. Simultaneously, it is essential that equity remains at the forefront for digital health researchers, developers, and implementers. Ensuring digital health solutions address inequities in health experienced across the world while taking action to maximize digital inclusion will ensure the true potential of digital health is realized. Text messaging has the potential to continue to play a pivotal role in the delivery of equitable digital health tools to communities around the world for many years to come. Further new technologies can build on the humble text message, leveraging its success to advance the field of digital health. This Viewpoint presents a retrospective of text messaging in health, drawing on the example of text message–based interventions for smoking cessation, and presents evidence for the continued relevance of this mobile health modality in 2025 and beyond.

Population Medicine considers the following types of articles:• Research Papers -reports of data from original research or secondary dataset analyses.• Review Papers -comprehensive, authoritative, reviews within the journal's scope.These include both systematic reviews and narrative reviews.• Short Reports -brief reports of data from original research.• Policy Case Studies -brief articles on policy development at a regional or national level.• Study Protocols -articles describing a research protocol of a study.• Methodology Papers -papers that present different methodological approaches that can be used to investigate problems in a relevant scientific field and to encourage innovation.• Methodology Papers -papers that present different methodological approaches that can be used to investigate problems in a relevant scientific field and to encourage innovation.

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.

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.

OBJECTIVES:As people age, they are more likely to require support to maintain activities of daily living. Referral for formal assessment of need (assessed using the 'international Resident Assessment Instrument' [interRAI]) is the first step to access publicly funded services in Aotearoa New Zealand (NZ). It is unclear whether ethnic access inequities present in other areas of the NZ health system occur in this referral process. This exploratory research aimed to explore ethnic variation in referrals for interRAI assessment, and associated factors.METHODS:A retrospective cohort study of all new referrals for aged care services for those 55-plus, received in 2018 by Waitematā District Health Board (WDHB), was conducted. The primary outcome was referral outcome (assessment and no assessment). Secondary outcomes included time from referral to assessment, reason for referral, mortality and, in the assessed cohort, assessment outcome.RESULTS:New referrals (n = 3263) were ethnically representative of the general older adult population in WDHB. Māori were younger and more likely to be referred for higher-level care needs than non-Māori, non-Pasifika (NMNP) (p = 0.03). There was no significant difference in referral outcome, time to assessment or mortality between ethnicities. NMNP were more likely to access lower-level care services than Māori or Pasifika older adults (p = 0.002).CONCLUSIONS:Ethnicity was not associated with aged care service assessment access once people were referred for publicly funded services, nor was it associated with time to assessment or mortality in this exploratory study. Māori had higher care needs than NMNP at the time of referral.

To date innovation in Aotearoa New Zealand healthcare services has varied around the country. As we move into a health system restructure, it is important to reflect on what has worked to date and how we can take these elements into the new system. In this paper we describe the approach at Waitematā District Health Board (DHB) including the establishment of an Institute for Innovation and Improvement. We highlight what we view as the key elements of an innovation enabling environment and suggest measures of success.

Objectives The development of frailty tools from electronically recorded healthcare data allows frailty assessments to be routinely generated, potentially beneficial for individuals and healthcare providers. We wished to assess the predictive validity of a frailty index (FI) derived from interRAI Community Health Assessment (CHA) for outcomes in older adults residing in retirement villages (RVs), elsewhere called continuing care retirement communities. Design Prospective cohort study. Setting and participants 34 RVs across two district health boards in Auckland, Aotearoa New Zealand (NZ). 577 participants, mean age 81 years; 419 (73%) female; 410 (71%) NZ European, 147 (25%) other European, 8 Asian (1%), 7 Māori (1%), 1 Pasifika (<1%), 4 other (<1%). Methods interRAI-CHA FI tool was used to stratify participants into fit (0–0.12), mild (>0.12–0.24), moderate (>0.24–0.36) and severe (>0.36) frail groups at baseline (the latter two grouped due to low numbers of severely frail). Primary outcome was acute hospitalization; secondary outcomes included long-term care (LTC) entry and mortality. The relationship between frailty and outcomes were explored with multivariable Cox regression, estimating hazard ratios (HRs) and 95% confidence intervals (95%CIs). Results Over mean follow-up of 2.5 years, 33% (69/209) of fit, 58% (152/260) mildly frail and 79% (85/108) moderate-severely frail participants at baseline had at least one acute hospitalization. Compared to the fit group, significantly increased risk of acute hospitalization were identified in mildly frail (adjusted HR = 1.88, 95%CI = 1.41–2.51, p<0.001) and moderate-severely frail (adjusted HR = 3.52, 95%CI = 2.53–4.90, p<0.001) groups. Similar increased risk in moderate-severely frail participants was seen in LTC entry (adjusted HR = 5.60 95%CI = 2.47–12.72, p<0.001) and mortality (adjusted HR = 5.06, 95%CI = 1.71–15.02, p = 0.003). Conclusions and implications The FI derived from interRAI-CHA has robust predictive validity for acute hospitalization, LTC entry and mortality. This adds to the growing literature of use of interRAI tools in this way and may assist healthcare providers with rapid identification of frailty.

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.

Retirement villages are semi‐closed communities, access usually being gained via village managers. This paper explores issues recruiting a representative resident cohort, as background to a study of residents, to acquire sociodemographic, health and disability data and trial an intervention designed to improve outcomes.

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.

OBJECTIVES:To develop and validate a frailty index (FI) from interRAI-Community Health Assessments (CHA) on older adults in retirement villages (RVs).METHODS:This is a cross-sectional analysis of a current RV research study. A FI was generated using the cumulative deficit model. Health-care utilisation measures were acute, and all, hospitalisations 12 months before baseline assessment. Associations between FI and hospitalisations were explored using multivariable logistic regression to estimate odds ratio (OR).RESULTS:Of 577 included residents, mean (SD) age was 81 (7) and 419 (73%) were female. Mean (SD) FI was 0.16 (0.09); 260 (45%) were mildly frail, and 108 (19%) moderate-severely frail. In multivariate-adjusted analysis, odds of acute hospitalisation for mild (OR = 3.3, P < .001) and moderate-severely frail (OR = 6.4, P < .001) were significantly higher than fit residents. Higher odds were also observed for all hospitalisations.CONCLUSION:A considerable proportion of RV residents were moderately-severely frail. FI was associated with acute and all hospitalisations.

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

Background: The prevalence of abdominal aortic aneurysm (AAA) in Polynesian populations such as the New Zealand Maori has not been characterized. We measured this in a large population-based sample. Methods: A cross-sectional population-based prevalence study was conducted as part of an AAA screening pilot; 2467 Maori men aged 54 to 74 years and 1526 women aged 65 to 74 years registered with a primary care practice in Auckland (New Zealand) were invited to be screened by abdominal ultrasound between June 2016 and March 2018. Patients with pre-existing AAA disease and those with terminal conditions or circumstances that would make them unlikely to benefit from screening were excluded. The prevalence rate of AAA in Maori women was calculated with a cutoff definition of 27 mm as well as with the normal 30-mm definition (used in men). A log-binomial regression model estimated the prevalence rate at exactly 65 years for the purpose of comparison with screened populations in the United Kingdom. Results: The crude prevalence rate of undiagnosed AAA in Maori men aged 60 to 74 years was 3.6%. In women, it was 1.7% at the 30-mm threshold and 2.3% at 27 mm. The prevalence rate at exactly 65 years of age was calculated from the log-binomial regression model to be 2.7% (confidence interval [CI], 2.0%-3.8%) in men, 0.9% (CI, 0.4%-2.2%) in women at the 30-mm threshold, and 1.5% (CI, 0.7%-3.0%) in women at the 27-mm threshold. Among smokers, the crude prevalence rates were 7.5% (CI, 4.9%-11.5%) in men and 6.9% (CI, 4.1%-11.5%) in women (30 mm+). Conclusions: The prevalence of undiagnosed AAA in New Zealand Maori men is considerably higher than in screened populations of equivalent age in the United Kingdom and Sweden. Prevalence rates in New Zealand Maori women are close to those of screened British men. New Zealand should consider implementing a population-based screening program for Maori men and conduct further research into the health impact of screening Maori women.

Background: In New Zealand, the incidence of abdominal aortic aneurysm (AAA) and the prevalence of atrial fibrillation (AF) are higher among Māori compared to non-Māori. Purpose: A pilot project to screen Māori men and women for AAA and AF. This pilot, the first to include targeted screening for a specific ethnic group, was part of a wider programme focused on improving equity for Māori with Māori support at all stages of implementation. Methods: In 2016, 520 patients aged 50–79 years underwent AAA screening via abdominal ultrasonography. This preliminary pilot had high (79%) uptake and in 2017 the project was extended to include all eligible Māori patients at 201 primary care practices in Auckland. During this extension, the age range of eligibility was narrowed to 60–74 years for men and 65–79 years for women and AF screening via a mobile application was added. Results: Overall, 2507 people (63% of invitees) were screened for AAA and 1964 for AF. 119 people were further assessed by vascular services and 7 people with very large (≥50 mm) aortic measurements underwent elective surgical repair. The overall prevalence of AAA was 3.6% in 60–74 year old men and 1.7% in 65–79 year old women. AF was newly detected in 36 people (2.6% of men, 1.1% of women). In the three months post screening, 40% of these people not previously on anticoagulation were dispensed dabigatran. Interviews with screened participants indicated high levels of acceptability and support for the project, particularly because it was free, highly accessible and responsive to Māori needs. The findings could support the development of other targeted programmes for Indigenous populations.