Examining the impact of COVID-19 on Maori:non-Maori health inequities in Aotearoa, New Zealand: an observational study protocol.

INTRODUCTION: The COVID-19 pandemic has had both direct and indirect impacts on the health of populations worldwide. While racial/ethnic health inequities in COVID-19 infection are now well known (and ongoing), knowledge about the impact of COVID-19 pandemic management on non-COVID-19-related outcomes for Indigenous peoples is less well understood. This article presents the study protocol for the Health Research Council of New Zealand funded project 'Ma te Mohio ka Marama: Impact of COVID-19 on Maori:non-Maori inequities'. The study aims to explore changes in access to healthcare, quality of healthcare and health outcomes for Maori, the Indigenous peoples of Aotearoa New Zealand (NZ) and non-Maori during the COVID-19 outbreak period across NZ. METHODS AND ANALYSIS: This observational study is framed within a Kaupapa Maori research positioning that includes Kaupapa Maori epidemiology. National datasets will be used to report on access to healthcare, quality of healthcare and health outcomes between Maori and non-Maori during the COVID-19 pandemic in NZ. Study periods are defined as (a) prepandemic period (2015-2019), (b) first pandemic year without COVID-19 vaccines (2020) and (c) pandemic period with COVID-19 vaccines (2021 onwards). Regional and national differences between Maori and non-Maori will be explored in two phases focused on identified health priority areas for NZ including (1) mortality, cancer, long-term conditions, first 1000 days, mental health and (2) rheumatic fever. ETHICS AND DISSEMINATION: This study has ethical approval from the Auckland Health Research Ethics Committee (AHREC AH26253). An advisory group will work with the project team to disseminate the findings of this project via project-specific meetings, peer-reviewed publications and a project-specific website. The overall intention of the project is to highlight areas requiring health policy and practice interventions to address Indigenous inequities in health resulting from COVID-19 pandemic management (both historical and in the future).

The Epidemiology of Domain-Specific Physical Activity in New Zealand Adults: A Nationally Representative Cross-Sectional Survey.

BACKGROUND: Surveillance of domain-specific physical activity (PA) helps to target interventions to promote PA. We examined the sociodemographic correlates of domain-specific PA in New Zealand adults. METHODS: A nationally representative sample of 13,887 adults completed the International PA Questionnaire-long form in 2019/20. Three measures of total and domain-specific (leisure, travel, home, and work) PA were calculated: (1) weekly participation, (2) mean weekly metabolic energy equivalent minutes (MET-min), and (3) median weekly MET-min among those who undertook PA. Results were weighted to the New Zealand adult population. RESULTS: The average contribution of domain-specific activity to total PA was 37.5% for work activities (participation = 43.6%; median participating MET-min = 2790), 31.9% for home activities (participation = 82.2%; median participating MET-min = 1185), 19.4% for leisure activities (participation = 64.7%; median participating MET-min = 933), and 11.2% for travel activities (participation = 64.0%; median MET-min among participants = 495). Women accumulated more home PA and less work PA than men. Total PA was higher in middle-aged adults, with diverse patterns by age within domains. Maori accumulated less leisure PA than New Zealand Europeans but higher total PA. Asian groups reported lower PA across all domains. Higher area deprivation was negatively associated with leisure PA. Sociodemographic patterns varied by measure. For example, gender was not associated with total PA participation, but men accumulated higher MET-min when taking part in PA than women. CONCLUSIONS: Inequalities in PA varied by domain and sociodemographic group. These results should be used to inform interventions to improve PA.

Evolving swabbing practices for COVID-19 in a New Zealand emergency department during the early stages of an emerging pandemic.

OBJECTIVE: To review if tests for suspected COVID-19 were performed according to the Ministry of Health (MoH) case definitions, identify patterns associated with testing outside of the case definition, and discuss the potential impacts on hospital services. METHODS: This was a retrospective audit of patients presenting to the Wellington Hospital ED between 24 March 2020 and 27 April 2020 who were swabbed for COVID-19 in ED. Swabs were audited against the March 15th and April 8th MoH COVID-19 case definitions. RESULTS: Five hundred and thirty-six COVID-19 swabs for 518 patients were taken during the study period. There was poor alignment of testing with the March 15th case definition, with only 11.6% of the 164 swabs taken during this period meeting the case definition. Of the 145 swabs that did not meet the case definition, the majority (n = 119, 82.1%) met symptom criteria only. Alignment of testing with the wider April 8th case definition was much higher with 88.2% meeting criteria. Factors associated with being swabbed despite not meeting the case definitions included fever >38°, a diagnosis of cancer, subsequent hospital admission, and for the March case definition only 'contact with a traveller'. CONCLUSION: There were associations found between testing outside of criteria and specific variables potentially perceived as high-risk. Poor alignment of testing with case definitions can impact hospital services through the (mis)use of limited laboratory testing capacity and implications for resource management. Improved communication and feedback between clinicians and policymakers may improve case definition implementation in a clinical setting.

We still don't count: the under-counting and under-representation of Maori in health and disability sector data.

AIM: To examine ethnicity data quality; in particular, the representation and potential under-counting of Maori in health and disability sector data, as well as implications for inequities. METHODS: Maori and non-Maori ethnicity data are analysed at: 1) a population aggregate level across multiple 2018 datasets (Estimated Resident Population, Census Usually Resident Population, Health Service User (HSU) population and Primary Health Organisation (PHO) enrolments); and 2) an individual level for those linked in PHO and 2018 Census datasets. Ethnicity is drawn from the National Health Index (NHI) in health datasets and variations by age and gender are explored. RESULTS: Aggregate analyses show that Maori are considerably under-represented in HSU and PHO data. In linked analysis Maori were under-counted on the NHI by 16%. Under-representation in data and under-counting occur across both genders but are more pronounced for Maori men with variations by age. CONCLUSION: High quality ethnicity data are fundamental for understanding and monitoring Maori health and health inequities as well as in the provision of targeted services and interventions that are responsive to Maori aspirations and needs. The continued under-counting of Maori in health and disability sector data is a breach of Te Tiriti o Waitangi and must be addressed with urgency.

Ethnicity data audit in a secondary care gastroenterology service.

AIM: To audit the quality of ethnicity data stored under National Health Index (NHI) in the Hutt Hospital database against a fresh collection of self-identified ethnicity to identify the level of (mis)match present between the datasets. METHOD: Self-identified ethnicity data was collected from 200 consecutive patients presenting to outpatient gastroenterology services and compared to National Health Index (NHI) in the Hutt Hospital database, using the process outlined in the Primary Care Ethnicity Data Audit Toolkit. RESULTS: The overall level of match between the individual's self-identified ethnicity and that recorded in the hospital database was 89% (95% CI [83.8-93.0]). Eighteen patients (9%) self-identified as Maori, 16.7% (95% CI [3.6-41.4]) of whom were not recorded as Maori in the hospital database. Three patients were recorded as Maori in the hospital database but did not self-identify as Maori. CONCLUSION: Ethnicity data are fundamental to the monitoring and provision of equitable health and healthcare, with a range of applications in the health sector. Our findings of poor-quality ethnicity data for Maori in a hospital NHI database are consistent with previous studies. The assessment of ethnicity data quality must be done in multiple ways to reflect its multiple uses.

Understanding disparities in post-operative mortality for Indigenous patients.

There is an urgent need for high-quality evidence regarding post-operative mortality among Indigenous peoples. Our group recently published a national audit of 4,000,000 procedures conducted between 2005-2017, which identified considerable disparities in post-operative mortality between Indigenous Maori and non-Indigenous New Zealanders. Understanding the primary drivers of these disparities-for Maori, but likely also other Indigenous populations worldwide-requires us to consider the multiple levels at which these drivers might arise. To that end, in this paper we breakdown these drivers in detail, conceptualising these drivers as operating in layers with each factor leading to the next. These layers include structural factors, care system factors, care process factors, care team factors and patient factors. Each of these factors are presented within a framework that can be used to begin to understand them - with a view to rousing action and inspiring intervention to address inequities in post-operative outcomes experienced by Indigenous peoples.

Regional variation in post-operative mortality in New Zealand.

BACKGROUND: There is a growing body of evidence that access to best practice perioperative care varies within our population. In this study, we use national-level data to begin to address gaps in our understanding of regional variation in post-operative outcomes within New Zealand. METHODS: Using National Collections data, we examined all inpatient procedures in New Zealand public hospitals between 2005 and 2017 (859 171 acute, 2 276 986 elective/waiting list), and identified deaths within 30 days. We calculated crude and adjusted rates per 100 procedures for the 20 district health boards (DHBs), both for the total population and stratified by ethnicity (Maori/European). Odds ratios comparing the risk of post-operative mortality between Maori and European patients were calculated using crude and adjusted Poisson regression models. RESULTS: We observed regional variations in post-operative mortality outcomes. Maori, compared to European, patients experienced higher post-operative mortality rates in several DHBs, with a trend to higher mortality in almost all DHBs. Regional variation in patterns of age, procedure, deprivation and comorbidity (in particular) largely drives regional variation in post-operative mortality, although variation persists in some regions even after adjusting for these factors. Inequitable outcomes for Maori also persist in several regions despite adjustment for multiple factors, particularly in the elective setting. CONCLUSIONS: The persistence of variation and ethnic disparities in spite of adjustment for confounding and mediating factors suggests that multiple regions require additional resource and support to improve outcomes. Efforts to reduce variation and improve outcomes for patients will require both central planning and monitoring, as well as region-specific intervention.

The Impact of Transport on Population Health and Health Equity for Maori in Aotearoa New Zealand: A Prospective Burden of Disease Study.

BACKGROUND: The land transport system influences health via a range of pathways. This study aimed to quantify the amount and distribution of health loss caused by the current land transport system in Aotearoa New Zealand (NZ) through the pathways of road injury, air pollution and physical inactivity. METHODS: We used an existing multi-state life table model to estimate the long-term health impacts (in health-adjusted life years (HALYs)) and changes in health system costs of removing road injury and transport related air pollution and increasing physical activity to recommended levels through active transport. Health equity implications were estimated using relative changes in HALYs and life expectancy for Maori and non-Maori. RESULTS: If the NZ resident population alive in 2011 was exposed to no further air pollution from transport, had no road traffic injuries and achieved at least the recommended weekly amount of physical activity through walking and cycling from 2011 onwards, 1.28 (95% UI: 1.11-1.5) million HALYs would be gained and $7.7 (95% UI: 10.2 to 5.6) billion (2011 NZ Dollars) would be saved from the health system over the lifetime of this cohort. Maori would likely gain more healthy years per capita than non-Maori, which would translate to small but important reductions (2-3%) in the present gaps in life expectancy. CONCLUSION: The current transport system in NZ, like many other car-dominated transport systems, has substantial negative impacts on health, at a similar level to the effects of tobacco and obesity. Transport contributes to health inequity, as Maori bear greater shares of the negative health impacts. Creating a healthier transport system would bring substantial benefits for health, society and the economy.

Anaesthetic choice for hip or knee arthroplasty in New Zealand: Risk of postoperative death and variations in use.

Anaesthetic choice for large joint surgery can impact postoperative outcomes, including mortality. The extent to which the impact of anaesthetic choice on postoperative mortality varies within patient populations and the extent to which anaesthetic choice is changing over time remain under-explored both internationally and in the diverse New Zealand context. In a national study of 199,211 hip and knee replacement procedures conducted between 2005 and 2017, we compared postoperative mortality among those receiving general, regional or general plus regional anaesthesia. Focusing on unilateral (n=86,467) and partial (n=13,889) hip replacements, we assessed whether some groups within the population are more likely to receive general, regional or general plus regional anaesthesia than others, and whether mortality risk varies depending on anaesthetic choice. We also examined temporal changes in anaesthetic choice over time. Those receiving regional alone or general plus regional for unilateral hip replacement appeared at increased risk of 30-day mortality compared to general anaesthesia alone, even after adjusting for differences in terms of age, ethnicity, deprivation, rurality, comorbidity, American Society of Anesthesiologists physical status score and admission type (e.g. general plus regional: adjusted hazard ratio (adj. HR)=1.94, 95% confidence intervals (CI) 1.32 to 2.84). By contrast, we observed lower 30-day mortality among those receiving regional anaesthesia alone compared to general alone for partial hip replacement (adj. HR=0.86, 95% CI 0.75 to 0.97). The latter observation contrasts with declining temporal trends in the use of regional anaesthesia alone for partial hip replacement procedures. However, we recognise that postoperative mortality is one perioperative factor that drives anaesthetic choice.

Disparities in post-operative mortality between Maori and non-Indigenous ethnic groups in New Zealand.

AIM: To describe disparities in post-operative mortality experienced by Indigenous Maori compared to non-Indigenous New Zealanders. METHODS: We completed a national study of all those undergoing a surgical procedure between 2005 and 2017 in New Zealand. We examined 30-day and 90-day post-operative mortality for all surgical specialties and by common procedures. We compared age-standardised rates between ethnic groups (Maori, Pacific, Asian, European, MELAA/Other) and calculated hazard ratios (HRs) using Cox proportional hazards regression modelling adjusted for age, sex, deprivation, rurality, comorbidity, ASA score, anaesthetic type, procedure risk and procedure specialty. RESULTS: From nearly 3.9 million surgical procedures (876,976 acute, 2,990,726 elective/waiting list), we observed ethnic disparities in post-operative mortality across procedures, with the largest disparities occurring between Maori and Europeans. Maori had higher rates of 30- and 90-day post-operative mortality across most broad procedure categories, with the disparity between Maori and Europeans strongest for elective/waiting list procedures (eg, elective/waiting list musculoskeletal procedures, 30-day mortality: adj. HR 1.93, 95% CI 1.56-2.39). CONCLUSIONS: The disparities we observed are likely driven by a combination of healthcare system, process and clinical team factors, and we have presented the key mechanisms within these factors.

Bowel cancer screening age range for Maori: what is all the fuss about?

The current New Zealand Bowel Screening Programme (BSP) is inequitable. At present, just over half of bowel cancers in Maori present before the age of 60 years (58% in females and 52% in males), whereas just under a third of bowel cancers in non-Maori are diagnosed before the same age (27% in females and 29% in males). The argument for extending the bowel screening age range down to 50 years for Maori is extremely simple-in comparison to non-Maori, a greater percentage of bowel cancers in Maori occur before the age of 60 years (when screening starts). Commencing the BSP at 50 years of age for Maori with high coverage will help fix this inequity. In this paper we review the current epidemiology of colorectal cancer with respect to the age range extension for Maori.

Seroprevalence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection among Veterans Affairs healthcare system employees suggests higher risk of infection when exposed to SARS-CoV-2 outside the work environment.

OBJECTIVE: The seroprevalence of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) IgG antibody was evaluated among employees of a Veterans Affairs healthcare system to assess potential risk factors for transmission and infection. METHODS: All employees were invited to participate in a questionnaire and serological survey to detect antibodies to SARS-CoV-2 as part of a facility-wide quality improvement and infection prevention initiative regardless of clinical or nonclinical duties. The initiative was conducted from June 8 to July 8, 2020. RESULTS: Of the 2,900 employees, 51% participated in the study, revealing a positive SARS-CoV-2 seroprevalence of 4.9% (72 of 1,476; 95% CI, 3.8%-6.1%). There were no statistically significant differences in the presence of antibody based on gender, age, frontline worker status, job title, performance of aerosol-generating procedures, or exposure to known patients with coronavirus infectious disease 2019 (COVID-19) within the hospital. Employees who reported exposure to a known COVID-19 case outside work had a significantly higher seroprevalence at 14.8% (23 of 155) compared to those who did not 3.7% (48 of 1,296; OR, 4.53; 95% CI, 2.67-7.68; P < .0001). Notably, 29% of seropositive employees reported no history of symptoms for SARS-CoV-2 infection. CONCLUSIONS: The seroprevalence of SARS-CoV-2 among employees was not significantly different among those who provided direct patient care and those who did not, suggesting that facility-wide infection control measures were effective. Employees who reported direct personal contact with COVID-19-positive persons outside work were more likely to have SARS-CoV-2 antibodies. Employee exposure to SARS-CoV-2 outside work may introduce infection into hospitals.

A Mobile- and Web-Based Health Intervention Program for Diabetes and Prediabetes Self-Management (BetaMe/Melon): Process Evaluation Following a Randomized Controlled Trial.

BACKGROUND: Technology-assisted self-management programs are increasingly recommended to patients with long-term conditions such as diabetes. However, there are a number of personal and external factors that affect patients' abilities to engage with and effectively utilize such programs. A randomized controlled trial of a multi-modal online program for diabetes self-management (BetaMe/Melon) was conducted in a primary care setting, and a process evaluation was completed at the end of the study period. OBJECTIVE: This process evaluation aimed to examine the utilization patterns of BetaMe/Melon, identify which components participants found most (and least) useful, and identify areas of future improvement. METHODS: Process evaluation data were collected for intervention arm participants from 3 sources: (1) the mobile/web platform (to identify key usage patterns over the 16-week core program), (2) an online questionnaire completed during the final study assessment, and (3) interviews conducted with a subset of participants following the study period. Participants were classified as "actively engaged" if any usage data was recorded for the participant (in any week), and patterns were reported by age, gender, ethnicity, and diabetes/prediabetes status. The online questionnaire asked participants about the usefulness of the program and whether they would recommend BetaMe/Melon to others according to a 5-point Likert Scale. Of 23 invited participants, 18 participated in a digitally recorded, semistructured telephone interview. Interview data were thematically analyzed. RESULTS: Out of the 215 participants, 198 (92%) received an initial health coaching session, and 160 (74%) were actively engaged with the program at some point during the 16-week core program. Engagement varied by demographic, with women, younger participants, and ethnic majority populations having higher rates of engagement. Usage steadily declined from 50% at Week 0 to 23% at Week 15. Participants ranked component usefulness as education resources (63.7%), health coaches (59.2%), goal tracking (48.8%), and online peer support (42.1%). Although 53% agreed that the program was easy to use, 64% would recommend the program to others. Interview participants found BetaMe/Melon useful overall, with most identifying beneficial outcomes such as increased knowledge, behavioral changes, and weight loss. Barriers to engagement were program functionality, internet connectivity, incomplete delivery of all program components, and participant motivation. Participants suggested a range of improvements to the BetaMe/Melon program. CONCLUSIONS: The program was generally well received by participants; active engagement was initially high, although it declined steadily. Maintaining participant engagement over time, individualizing programs, and addressing technical barriers are important to maximize potential health benefits from online diabetes self-management programs. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry ACTRN12617000549325; https://tinyurl.com/y622b27q.

Estimated inequities in COVID-19 infection fatality rates by ethnicity for Aotearoa New Zealand.

AIMS: There is limited evidence as to how clinical outcomes of COVID-19 including fatality rates may vary by ethnicity. We aim to estimate inequities in infection fatality rates (IFR) in New Zealand by ethnicity. METHODS: We combine existing demographic and health data for ethnic groups in New Zealand with international data on COVID-19 IFR for different age groups. We adjust age-specific IFRs for differences in unmet healthcare need, and comorbidities by ethnicity. We also adjust for life expectancy reflecting evidence that COVID-19 amplifies the existing mortality risk of different groups. RESULTS: The IFR for Maori is estimated to be 50% higher than that of non-Maori, and could be even higher depending on the relative contributions of age and underlying health conditions to mortality risk. CONCLUSIONS: There are likely to be significant inequities in the health burden from COVID-19 in New Zealand by ethnicity. These will be exacerbated by racism within the healthcare system and other inequities not reflected in official data. Highest risk communities include those with elderly populations, and Maori and Pacific communities. These factors should be included in future disease incidence and impact modelling.

Postoperative mortality in New Zealand following general anaesthetic: demographic patterns and temporal trends.

OBJECTIVES: In this manuscript, we describe broad trends in postoperative mortality in New Zealand (a country with universal healthcare) for acute and elective/waiting list procedures conducted between 2005 and 2017. DESIGN, PARTICIPANTS AND SETTING: We use high-quality national-level hospitalisation data to compare the risk of postoperative mortality between demographic subgroups after adjusting for key patient-level confounders and mediators. We also present temporal trends and consider how rates in postoperative death following acute and elective/waiting list procedures have changed over this time period. RESULTS AND CONCLUSION: A total of 1 836 683 unique patients accounted for 3 117 374 admissions in which a procedure was performed under general anaesthetic over the study period. We observed an overall 30-day mortality rate of 0.5 per 100 procedures and a 90-day mortality rate of 0.9 per 100. For acute procedures, we observed a 30-day mortality rate of 1.6 per 100, compared with 0.2 per 100 for elective/waiting list procedures. In terms of procedure specialty, respiratory and cardiovascular procedures had the highest rate of 30-day mortality (age-standardised rate, acute procedures: 3-6 per 100; elective/waiting list: 0.7-1 per 100). As in other contexts, we observed that the likelihood of postoperative death was not proportionally distributed within our population: older patients, Maori patients, those living in areas with higher deprivation and those with comorbidity were at increased risk of postoperative death, even after adjusting for all available factors that might explain differences between these groups. Increasing procedure risk (measured using the Johns Hopkins Surgical Risk Classification System) was also associated with an increased risk of postoperative death. Encouragingly, it appears that risk of postoperative mortality has declined over the past decade, possibly reflecting improvements in perioperative quality of care; however, this decline did not occur equally across procedure specialties.

Impact of low-dose CT screening for lung cancer on ethnic health inequities in New Zealand: a cost-effectiveness analysis.

OBJECTIVE: There are large inequities in the lung cancer burden for the Indigenous Maori population of New Zealand. We model the potential lifetime health gains, equity impacts and cost-effectiveness of a national low-dose CT (LDCT) screening programme for lung cancer in smokers aged 55-74 years with a 30 pack-year history, and for formers smokers who have quit within the last 15 years. DESIGN: A Markov macrosimulation model estimated: health benefits (health-adjusted life-years (HALYs)), costs and cost-effectiveness of biennial LDCT screening. Input parameters came from literature and NZ-linked health datasets. SETTING: New Zealand. PARTICIPANTS: Population aged 55-74 years in 2011. INTERVENTIONS: Biennial LDCT screening for lung cancer compared with usual care. OUTCOME MEASURES: Incremental cost-effectiveness ratios were calculated using the average difference in costs and HALYs between the screened and the unscreened populations. Equity analyses included substituting non-Maori values for Maori values of background morbidity, mortality and stage-specific survival. Changes in inequities in lung cancer survival and 'health-adjusted life expectancy' (HALE) were measured. RESULTS: LDCT screening in NZ is likely to be cost-effective for the total population: NZ$34 400 per HALY gained (95% uncertainty interval NZ$27 500 to NZ$42 900) and for Maori separately (using a threshold of gross domestic product per capita NZ$45 000). Health gains per capita for Maori females were twice that for non-Maori females and 25% greater for Maori males compared with non-Maori males. LDCT screening will narrow absolute inequities in HALE and lung cancer mortality for Maori, but will slightly increase relative inequities in mortality from lung cancer (compared with non-Maori) due to differential stage-specific survival. CONCLUSION: A national biennial LDCT lung cancer screening programme in New Zealand is likely to be cost-effective, will improve total population health and reduce health inequities for Maori. Attention must be paid to addressing ethnic inequities in stage-specific lung cancer survival.

Impact of a comprehensive digital health programme on HbA1c and weight after 12 months for people with diabetes and prediabetes: a randomised controlled trial.

AIMS/HYPOTHESIS: The aim of this RCT was to evaluate the effectiveness of a digital health programme (BetaMe/Melon) vs usual care in improving the control of type 2 diabetes and prediabetes in a primary care population. METHODS: We conducted a randomised parallel-group two-arm single-blinded superiority trial in the primary care setting in two regions of New Zealand. Eligible participants were identified through Primary Health Organisations and participating practices. Eligibility criteria were as follows: age 18-75 years, HbA1c 41-70 mmol/mol (5.9-8.6%), not taking insulin, and daily access to the internet. BetaMe/Melon is a 12 month mobile-device and web-based programme with four components: health coaching; evidence-based resources; peer support; and goal tracking. Participants were randomised into the intervention or control arm (1:1 allocation) based upon baseline HbA1c (prediabetes or diabetes range), stratified by practice and ethnicity. Research nurses and the study biostatistician were blind to study arm. Primary outcomes of the study were changes in HbA1c and weight at 12 months, using an intention-to-treat analysis. RESULTS: Four hundred and twenty-nine individuals were recruited between 20 June 2017 and 11 May 2018 (n = 215 intervention arm, n = 214 control arm), most of whom were included in analyses of co-primary outcomes (n = 210/215, 97.7% and n = 213/214, 99.5%). HbA1c levels at 12 months did not differ between study arms: mean difference was -0.9 mmol/mol (95% CI -2.9, 1.1) (-0.1% [95% CI -0.3, 0.1]) for the diabetes group and was 0.0 mmol/mol (95% CI -0.9, 0.9) (0.0% [95% CI -0.1, 0.1]) for the prediabetes group. Weight reduced slightly at 12 months for participants in both study arms, with no difference between arms (mean difference -0.4 kg [95% CI -1.3, 0.5]). CONCLUSIONS/INTERPRETATION: This study did not demonstrate clinical effectiveness for this particular programme. Given their high costs, technology-assisted self-management programmes need to be individually assessed for their effectiveness in improving clinical outcomes for people with diabetes. TRIAL REGISTRATION: www.anzctr.org.au ACTRN12617000549325 (universal trial number U1111-1189-9094) FUNDING: This study was funded by the Health Research Council of New Zealand, the Ministry of Health New Zealand and the Healthier Lives National Science Challenge. Graphical abstract.

Disparities in Cancer-Specific Survival Between Maori and Non-Maori New Zealanders, 2007-2016.

PURPOSE: While cancer survival is improving across most developed nations, those improvements are not shared equally within their population. Using high-quality national data, we have reviewed the extent to which cancer survival inequities are persisting for indigenous Maori compared with non-Maori New Zealanders and the extent to which these disparities are driven by deprivation, comorbidity, and stage of disease. METHODS: Incident cases of cancer (2007-2016) were extracted from the New Zealand Cancer Registry and linked to mortality and hospitalization data. Descriptive, Kaplan-Meier, and Cox regression methods were used to compare survival outcomes between Maori and non-Maori. RESULTS: Maori continue to have poorer survival than non-Maori for 23 of the 24 most common causes of Maori cancer death, with the extent of this disparity ranging from 12% to 156%. The magnitude of these disparities varies according to deprivation, comorbidity, and stage. Of note, there was a tendency for survival disparities to be largest among those with no comorbidity. CONCLUSION: Maori continue to experience substantial cancer survival inequities. These observations are in keeping with reports from previous decades, which suggest that these disparities persist despite heightened attention. Reduction of the cancer burden on Maori and achievement of equitable survival outcomes require us to prevent cancer for Maori where we can, diagnose Maori patients early when we cannot, and once diagnosed, deliver equitable care to Maori patients at each step along the treatment path.

Postoperative Mortality of Indigenous Populations Compared With Nonindigenous Populations: A Systematic Review.

Importance: A range of factors have been identified as possible contributors to racial/ethnic differences in postoperative mortality that are also likely to hold true for indigenous populations. Yet despite its severity as an outcome, death in the period following a surgical procedure is underresearched for indigenous populations. Objective: To describe postoperative mortality experiences for minority indigenous populations compared with numerically dominant nonindigenous populations and examine the factors that drive any differences observed. Evidence Review: This review was conducted according to PRIMSA guidelines and registered on PROSPERO. Articles were identified through searches of the Embase, Ovid MEDLINE, Scopus, and Cumulative Index to Nursing and Allied Health Literature databases, with manual review of references and gray literature searches conducted. Eligible articles included those that reported associations between ethnicity/indigeneity and mortality up to 90 days following surgery and published in English between January 1, 1990, and March 26, 2019. Data on the study design, setting, participants (including indigeneity), and results were extracted. A modified Newcastle-Ottawa Quality Assessment Scale was used to determine study quality. Findings: A total of 442 abstracts were screened, 92 articles were reviewed in full text, and 21 articles (from 20 studies) and 7 reports underwent data extraction. All included studies were cohort studies (3 prospective and the remainder retrospective) investigating a wide range of surgical procedures in the US, Australia, or New Zealand. Seven studies were from single facilities, while the remainder used data from national databases. Sample sizes ranged, with indigenous sample sizes ranging from 20 to 3052 patients and a number of studies reporting less than 10 indigenous deaths. The postoperative mortality experience for minority indigenous populations compared with the nonindigenous populations was mixed. There was evidence from several studies that indigenous populations may be more likely to die following cardiac procedures. However, the available evidence has overall poor study quality, with methods to identify the indigenous populations being a major limitation of most of the studies. Conclusions and Relevance: Postoperative mortality experiences for indigenous populations should not be interpreted in isolation from the broader context of inequities across the health care pathway and must take into account the quality of data used for indigenous identification.