Who responds? An examination of response rates to a national postal survey of Aboriginal and Torres Strait Islander adults, 2018-2019.

BACKGROUND: Evidence on the effectiveness of postal recruitment methods for Indigenous peoples is lacking. Mayi Kuwayu, the National Study of Aboriginal and Torres Strait Islander Wellbeing, uses multi-staged sampling. We aimed to test postal surveys as a primary recruitment method, analysing preliminary response rate data to inform the Study's ongoing sampling approach. METHODS: Twenty thousand adults aged ≥16 years were sampled from Aboriginal and Torres Strait Islander people enrolled in the Medicare Australia Enrolment Database. We calculated response rates at 4 and 15 weeks, overall and by age group, gender, state/territory and remoteness. RESULTS: The overall response rate was 2.3% (n = 456/20000). Highest response rates were observed among males and females ≥50 years from major cities (6.0, 95%CI 4.4-7.9 and 5.5%, 4.1-7.2, respectively) and regional areas (6.0%, 4.6-7.6 and 6.2%, 4.9-7.7, respectively). Younger age groups and remote areas had lower response rates; all remote age groups < 50 years had a response rate ≤ 0.6%. While most participants responded on the paper surveys, online responses were more common among younger age groups and, respondents with higher education levels and whose first language was not English. CONCLUSION: Using a postal survey, we observed response rates of ≥5.5% among older Aboriginal and Torres Strait Islander adults in major cities and regional areas; response rates were lower in other groups. A two-stage postal distribution approach provided an opportunity to adapt sampling approaches to different demographic groups. Based on initial response rates, the sampling strategy was revised to send postal surveys to groups with higher response rates groups and focus field recruitment strategies on low response groups.

Survey of Aboriginal smokers' and ex-smokers' knowledge, attitudes and behaviours in Central Australia 2016-2017.

OBJECTIVE: To examine tobacco knowledge, attitudes and behaviours of community members in Central Australia and to compare these by participant's location (town or remote community). DESIGN: Community-based survey of 165 smokers and recent ex-smokers. OUTCOME MEASURES: Knowledge was assessed using responses to questions on the health risk of smoking (e.g. lung cancer) and knowledge of quit support services. Attitudes towards smoking were assessed using statements that asked participant whether they agreed or disagreed. Smoking behaviours were assessed by asking participants about quit attempts, cigarettes per day and time to first cigarette (used to calculate the heaviness of smoking index). RESULTS: There were high levels of knowledge about most common diseases associated with smoking, including cancer (93%) and heart disease (89%). There was less knowledge about quit support services that are available through telephone (69%), online (27%) and apps (32%). Responses to attitude statements were suggestive of the normalised practices towards smoking in town and remote participants, with remote participants more likely to disagree that 'ok to smoke close to a building' and to disagree 'if I had my time over again I would not have started'. Over 75% of the participants had attempted to quit smoking and 55% had a sustained quit attempt (>1 month). CONCLUSION: There are greater challenges to reduce smoking in remote areas due to the social and communal practices of smoking and in providing service needs that encourage quit attempts. This supports the need for continued and increased investment for targeted tobacco control by remote health services.

Enhancing national data to align with policy objectives: Aboriginal and Torres Strait Islander smoking prevalence at finer geographic levels.

Objectives The aim of the study was to assess the utility of national Aboriginal survey data in a regional geospatial analysis of daily smoking prevalence for Aboriginal and Torres Strait Islander Australians and discuss the appropriateness of this analysis for policy and program impact assessment. Methods Data from the last two Australian Bureau of Statistics (ABS) national surveys of Aboriginal and Torres Strait Islander people, the National Aboriginal and Torres Strait Islander Social Survey 2014-15 (n=7022 adults) and the National Aboriginal and Torres Strait Islander Health Survey 2012-13 (n=10896 adults), were used to map the prevalence of smoking by Indigenous regions. Results Daily smoking prevalence in 2014-15 at Indigenous regions ranges from 27.1% (95%CI 18.9-35.3) in the Toowoomba region in Queensland to 68.0% (95%CI 58.1-77.9) in the Katherine region in the Northern Territory. The confidence intervals are wide and there is no significant difference in daily smoking prevalence between the two time periods for any region. Conclusion There are significant limitations with analysing national survey data at finer geographical scales. Given the national program for Indigenous tobacco control is a regional model, evaluation requires finer geographical analysis of smoking prevalence to inform public health progress, policy and program effects. Options to improve the data currently collected include increasing national survey sample sizes, implementing a smoking status question in census surveys, investing in current cohort studies focused on this population or implementing localised surveys. What is known about the topic? The last geospatial analysis of Aboriginal and Torres Strait Islander smoking prevalence was undertaken in 1997. Current national survey data have not been analysed geospatially. What does this paper add? This paper provides new insights into the use of national survey data for understanding regional patterns and prevalence levels of smoking in Aboriginal and Torres Strait Islander populations. What are the implications for practitioners? The findings of the study suggest caution when interpreting prevalence maps and highlight the need for greater sample sizes in national survey data. The analysis is also an opportunity to assess the use of national survey data in evaluating the policy impact of programs targeted at a regional level.

Non-tuberculous mycobacterial skin and soft tissue infections in the Northern Territory, Australia, 1989-2021.

BACKGROUND: A previous review demonstrated that the majority of NTM infections in the Northern Territory (NT) are pulmonary in nature [1], however skin and soft tissue (SST) are likely the next most common sites of disease. The current epidemiology of NTM SST infections across the NT is not known. We aimed to establish the current and historical incidence rates, and the organisms involved. METHODS: All NTM cases reported to the Centre for Disease Control in Darwin from 1989-2021 were retrospectively reviewed. RESULTS: 226 NTM notifications were reviewed. 73 (32%) cases were SST infections. The incidence of SST cases increased over the study period. Female cases were more common (p=0·002). Disease occurred across a wide age range (1-85 years). Only 16% of cases occurred in Aboriginal individuals which may reflect immunological factors requiring further investigation. Many cases had no clear provocation, but localised skin trauma was the most common risk factor. The most common organism identified was M. fortuitum (41%). Diagnosis was often delayed, with a median time to diagnosis of 69 days (IQR=31-149). Most cases (60%) underwent surgical intervention with adjunctive anti-mycobacterial medical therapy. CONCLUSION: NTM SST incidence rates increased over the study period. NTM SST infections are a rare but important differential diagnosis for non-healing cutaneous wounds.

Relationship of Aboriginal family wellbeing to social and cultural determinants, Central Australia: 'Waltja tjutangku nyakunytjaku'.

OBJECTIVE: The objective of this study was to apply a strength-based approach to examine the relation of cultural and social determinants to high family functioning for Aboriginal people in Central Australia. DESIGN: Cross-sectional study involving a quantitative analysis of survey data. Prevalence rate ratios (PRs) and 95% CIs were calculated from binomial regressions, adjusted for gender and age. Qualitative data from workshops with Aboriginal leaders in Central Australia supported the interpretation of the research findings. PARTICIPANTS: The study involved 639 Aboriginal people in Central Australia who participated in the Mayi Kuwayu Study. RESULT: Overall, 57.9% (370/639) of participants reported high/very high family functioning, 16.9% (108/639) reported moderate and 13.3% (85/639) reported low. The adjusted prevalence of family functioning was similar across gender, age groups and household sizes. Family functioning was associated with lower family financial status (aPR=0.74, 95% CI=0.60 to 0.91) and receiving welfare (0.88, 0.77 to 1.00). Family functioning was greater with high community cohesion (2.72, 1.68 to 4.39), high individual agency in community (2.15, 1.63 to 2.85); having an Aboriginal language as a first language (1.20, 1.04 to 1.37); speaking your Aboriginal language a lot (1.37, 1.12 to 1.68); high exposure to cultural practice and knowledge (1.45, 1.28 to 1.65); and multigenerational or extended family households (1.19, 1.02 to 1.38). CONCLUSION: High family functioning is a strength in Central Australia and is intrinsically connected with culture. Healthcare providers and programmes that build on the foundations of culture and family are an important approach to improving wellbeing.

Examining the Associations between Indigenous Rangers, Culture and Wellbeing in Australia, 2018-2020.

The centrality of culture to Indigenous peoples' health and wellbeing is becoming increasingly acknowledged in government policy. In Australia, the Indigenous Ranger program is a leading example of employment that supports increased cultural participation. In 2017, we demonstrated higher life satisfaction and family wellbeing among Indigenous Rangers compared to non-Rangers in Central Australia. Using an expanded national dataset, this present study aimed to: examine if associations between Ranger status and wellbeing continued to be observed in Central Australia; assess if these associations were observed among non-Central Australian Rangers; and, quantify the effect of mediating variables (Rangers status, cultural factors) on wellbeing outcomes. We analyzed Mayi Kuwayu baseline data (n = 9691 Aboriginal and Torres Strait Islander people) and compared participants who identified as past or currently employed Rangers compared to non-Rangers across two geographic locations (Central Australia, non-Central Australia). Ranger participation was significantly associated with very high life satisfaction and family wellbeing in Central Australia (high life satisfaction PR 1.31, 95% CI 1.09-1.57, and family wellbeing (PR 1.17, 95% CI 1.01-1.36) and non-Central Australia (high life satisfaction PR 1.29, 95% CI 1.06-1.57), family wellbeing (PR 1.37, 95% CI 1.14-1.65). These findings concord with those observed in the 2017 proof-of-concept study. Additionally, we found that Ranger status partially mediated the relationships between existing cultural practices (first language as your Indigenous language and living on your country) and the two wellbeing outcomes. Current cultural practices, spending time on country and speaking your Aboriginal language, also partially mediated the associations between Ranger status and high life satisfaction, and between Ranger status and high family wellbeing. This analysis supports evidence that both Ranger employment and cultural participation are contributors to wellbeing. Ranger work is not only good for land, but it is good for people. As such, determining policies that mutually acknowledge and enhance culture, health and wellbeing will likely have additional benefits for the broader Aboriginal and Torres Strait Islander population.

A national profile of Aboriginal and Torres Strait Islander Health Workers, 2006-2016.

OBJECTIVE: To undertake a descriptive analysis of the Aboriginal and Torres Strait Islander Health Worker workforce to quantify the changes from 2006-2016. METHOD: We analysed data on Indigenous Health Workers from three waves of Australian Census: 2006, 2011 and 2016. We described the workforce by gender, age and state/territory. RESULTS: There has been overall growth in the number of Indigenous Health Workers (from 1,009 in 2006 to 1,347 in 2016), but this is not commensurate with Aboriginal and Torres Strait Islander population growth (221 Indigenous Health Workers per 100,000 people in 2006 to 207 Indigenous Health Workers per 100,000 people in 2016). The growth is in Indigenous Health Workers aged ≥45 years, with declines in the proportion of Indigenous Health Workers aged ≤44 years. There was growth in workers in two states only, Queensland (increase 4.2 percentage points) and New South Wales (increase 6.6 percentage points). CONCLUSION: There are pressing concerns regarding the lack of growth and the ageing workforce of Aboriginal and Torres Strait Islander Health Workers. We remain concerned that little is being done to increase the retention and recruitment of this workforce. Implications for public health: Greater effort is needed to improve the recruitment and retention of Aboriginal and Torres Strait Islander Health Workers, particularly for younger age groups and males. A National Aboriginal and Torres Strait Islander Health Workforce Strategy needs to be implemented.

Analysing aggregate clinical data to support evaluation of the Tackling Indigenous Smoking program, 2014-16.

Objective The aim of this study was to assess the change in recording of client population smoking attributes (smoking status recorded and smoking status) in Tackling Indigenous Smoking (TIS)-funded services compared with non-funded services for Aboriginal and Torres Strait Islander people, 2014-16. Methods The study included a cohort of 152 Aboriginal-community controlled services with aggregate client smoking data from 2014 to 2016. Negative binomial regression was used to assess change in smoking status recorded and smoking status between TIS and non-TIS funded organisations. The models controlled for size of client population, jurisdiction and remoteness. Results From 2014 to 2016, the overall reporting rate (change in recording of smoking status) of client smoking status was 1.58-fold higher (95% confidence interval (CI) 1.30-1.91; P<0.001) in TIS-funded than non-TIS-funded services after controlling for year, remoteness and their interaction. The highest change in reporting of client smoking status was for TIS-funded services in remote areas (reporting ratio 6.55; 95% CI 5.18-8.27; P<0.001). In 2016, TIS-funded services reported higher overall levels of recording client smoking status (current, ex- and non-smokers) than non-TIS funded services (RR 1.11; 95% CI 1.00-1.28; P<0.001). There was no significant change in the reporting of smokers, ex-smokers or non-smokers over the three reporting periods. Conclusion The analysis shows higher reporting of the proportion of the service client population for services funded under the TIS program compared with non-TIS-funded services. Existing evidence suggests that following-up smokers with targeted clinical interventions once they have had smoking status recorded could reduce smoking rates in the long term. The public health contribution of this study has defined one method for assessing smoking attributes when using aggregate health service data. This method could be applied to future tobacco control programs in health services. What is known about the topic? Aboriginal and Torres Strait Islander smoking prevalence is high. The Aboriginal and Torres Strait Islander primary healthcare providers' national key performance indicators (nKPIs) are one data source that can track changes over time in smoking in clients of these services. What does this paper add? This paper presents the first analytical study and evaluation of the nKPI dataset items on smoking. What are the implications for practitioners? There is value in analysing routinely collected data in program evaluations. The method used in this paper demonstrates one approach that could be used to assess smoking indicators and their changes over time in TIS program evaluation.

Associations between Participation in a Ranger Program and Health and Wellbeing Outcomes among Aboriginal and Torres Strait Islander People in Central Australia: A Proof of Concept Study.

Culture can be viewed as an integral part of Aboriginal and Torres Strait Islander health and wellbeing. This study explores the association between caring for country, through participation in a Ranger program, and wellbeing. We analyzed cross-sectional data collected in Central Australia in 2017, comparing health and wellbeing (life satisfaction, general health, psychological wellbeing and family wellbeing) among Aboriginal and Torres Strait Islander peoples employed as Rangers (n = 43) versus not employed as Rangers (n = 160). We tested if any differences in outcomes were explained by differences in key demographic or health factors. Ranger participation was significantly associated with very high life satisfaction (PR = 1.69, 95% CI: 1.29, 2.20) and high family wellbeing (PR = 1.47, 95% CI: 1.13, 1.90); associations remained significant after individual adjustment for education, income, employment, health risk factors and health conditions. The magnitude and direction of associations were similar for very good general health, but results were not significant. We did not identify an association between Ranger participation and psychological wellbeing. While based on a small sample, these findings support the assertion that participation in the Ranger program is associated with positive health and wellbeing outcomes. This supports the continuation of cultural participation and practice through the Ranger program and has implications for funding, program and policy development.

Deadly progress: changes in Australian Aboriginal and Torres Strait Islander adult daily smoking, 2004-2015.

BACKGROUND: Tobacco smoking is the leading contributor to the burden of disease among Aboriginal and Torres Strait Islander Australians. Reducing tobacco use in this population is a public health priority. Precise monitoring of smoking prevalence trends is central to implementation and evaluation of effective tobacco control. The way in which trends are reported influences understanding of the extent of progress, with potential implications for policy. Our objective was to quantify absolute changes in Aboriginal and Torres Strait Islander adult (≥18 years old) daily tobacco smoking prevalence from 2004 to 2015, including comparisons with the total Australian population, and by age, sex and remoteness. METHODS: We analysed multiple nationally representative surveys of the Aboriginal and Torres Strait Islander, and total Australian, population conducted from 2004 to 2015. Aligned with strength-based approaches, we applied a progress frame, focusing on absolute differences in smoking prevalence within the Aboriginal and Torres Strait Islander population. RESULTS: The prevalence of current daily smoking among Aboriginal and Torres Strait Islander adults nationally was 50.0% (95% confidence interval [CI] 47.9, 52.2) in 2004-05 and 41.4% (95% CI 39.1, 43.6) in 2014-15, representing an absolute prevalence decrease of 8.6 percentage points (95% CI 5.5, 11.8) over the past decade. This is comparable with the 6.8 percentage point (95% CI 5.6, 7.9) decrease in smoking prevalence in the total Australian population over the same period, from 21.3% in 2004-05 (95% CI 20.5, 22.0) to 14.5% in 2014-15 (95% CI 13.6, 15.4). Particular success in reducing Aboriginal and Torres Strait Islander daily smoking was observed among younger age groups, with a decrease of 13.2 percentage points for 18-24-year-olds (95% CI 5.9, 20.4), 9.0 percentage points for 25-34-year-olds (95% CI 2.7, 15.3) and 8.7 percentage points for 35-44-year-olds (95% CI 2.6, 14.8). Smoking prevalence in those living in urban/regional areas decreased by 10.2 percentage points (95% CI 6.2, 14.1). CONCLUSIONS: Substantial progress has been made in reducing smoking, with an estimated 35 000 fewer Aboriginal and Torres Strait Islander adults smoking every day in 2014-15 compared with if daily smoking remained at 2004-05 prevalence. This will lead to thousands of lives saved. The observed success in the younger age groups is encouraging. Continued resourcing and comprehensive tobacco control efforts are required to ensure positive trends continue.