Literature DB >> 34551941

Influence of COVID-19 on the preventive health behaviours of indigenous peoples of Australia residing in New South Wales: a mixed-method study protocol.

Kim Usher1, Navjot Bhullar2, David Sibbritt3, Suruchi Sue Anubha Amarasena4, Wenbo Peng3, Joanne Durkin5, Reakeeta Smallwood6, Tamara Power7, Cheryl Porter4, Debbie McGowen8, Debra Jackson7.   

Abstract

INTRODUCTION: Chronic conditions impact indigenous peoples of Australia at a much higher rate than non-indigenous Australians. Attendance at the Medicare Benefits Scheme (MBS) supported indigenous health checks are crucial to improve prevention and management of chronic health conditions. However, in conjunction with lifestyle and environmental factors, attendance rates at primary healthcare services for screening and treatment have fallen in Australia during the COVID-19 pandemic. This study aims to explore the influence of the COVID-19 pandemic on preventive health behaviours of indigenous Australians and the associated barriers to, and enablers of, engagement with health services to formulate a targeted intervention strategy. METHODS AND ANALYSIS: A concurrent mixed-methods study (comprising quantitative and qualitative data collection methods) will be employed. Descriptive analysis of MBS data about the characteristics of indigenous peoples of Australia claiming health assessment services will be performed. Generalised estimating equation regression models will be used to examine the use of health assessment services over time. Qualitative interviews informed by indigenous research methods will be conducted. Interviews will investigate barriers to, and enablers of, engagement with health services. Thematic approach guided by the principles of indigenist praxis, storytelling and collaborative research will be used to analyse the interview data. The project commenced in July 2020 and will be completed by July 2022. ETHICS AND DISSEMINATION: The project received ethics approval from the Aboriginal Health and Medical Research Council of New South Wales and the University of New England Human Research Ethics Committee. Findings will be disseminated via peer-reviewed journal articles, conferences, government and relevant stakeholder reports, and infographics. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  COVID-19; preventive medicine; protocols & guidelines; public health

Mesh:

Year:  2021        PMID: 34551941      PMCID: PMC8460531          DOI: 10.1136/bmjopen-2020-047404

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


A strength of this study is that it combines large data and yarning story-telling with Indigenous People to provide an in-depth explanation of current preventive behaviours during isolation, identify barriers and enablers of health-seeking behaviours in regard to preventive health programmes, and outline potential strategies to improve health behaviours and attendance at preventive programmes in the future. Ongoing and authentic engagement with Indigenous communities to ensure findings are meaningful and relevant to community. Not all Indigenous Australians are enrolled on the Medicare Benefits Scheme (MBS) (Medicare) database via the Voluntary Indigenous Identifier. Therefore, our findings may underestimate the health services utilisation of Indigenous Australians pre-COVID-19 and during COVID-19 pandemic. MBS claims data are limited to medical services subsidised by the Australian government such as general practitioner and allied health services. Thus, other health services used by Indigenous Australians were not included in our project.

Introduction

Indigenous Peoples of Australia are prone to chronic health conditions.1 In conjunction with lifestyle and environmental factors, this increases the risk to Indigenous Peoples contracting COVID-19,2 as evidenced by poor outcomes in previous pandemics.3 Unfortunately, Indigenous Peoples generally have lower rates of access to preventive health opportunities,4 and the research team experience indicates that these rates have decreased as a result of COVID-19, similar to that seen in non-Indigenous Peoples of Australia. Attendance rates at primary healthcare services for screening and treatment have fallen in Australia during the COVID-19 pandemic and people are less likely to see their doctor for any non-urgent health-related activity.5 Many Indigenous Peoples have multiple underlying chronic conditions and greater susceptibility to, and poorer outcomes from infectious diseases. Aboriginal Controlled Health Services have led the way in ensuring Indigenous People of Australia are adequately serviced during the pandemic. Understanding barriers to engaging in preventive health behaviours and attendance at health services due to COVID-19 in this group will help in developing and implementing specific intervention strategies to improve engagement with preventive health services. The present study will explore the influence of COVID-19 on the preventive health behaviours of Indigenous Peoples, residing in New South Wales (NSW), Australia and provide an in-depth explanation of the preventive behaviours during isolation; identify barriers to, and enablers of, health-seeking behaviours in regard to preventive health programmes; and outline potential strategies to improve health behaviours and attendance at preventive programmes in the future.

Aim of the study

This study aims to explore the influence of the COVID-19 pandemic on preventive health behaviours and the associated engaging barriers to, and enablers of, engagement with health services.

Research questions

What are the pre-COVID-19 and during COVID-19 levels of preventive health behaviours, and what are the barriers to, and enablers of, preventive health behaviour service utilisation by Indigenous Peoples residing in NSW?

Methods

Study design and procedure

A concurrent mixed-methods study (comprising quantitative and qualitative data collection methods) will be employed. Descriptive and multivariate analyses of the National Medicare Benefits Scheme (MBS) data about the characteristics of Indigenous Peoples of Australia claiming health assessment services and service utilisation will be performed, respectively. Qualitative interviews informed by Indigenous research methods will be conducted to explore the barriers to, and enablers of, engagement with health services. The study sample for phase 1 is patients recorded in the MBS dataset, restricted to those who identify as Aboriginal and Torres Strait Islander People residing in NSW regardless of age. The collection of MBS data for 2020 and 2021 has not been completed. Therefore, the number of patients for which MBS data are held for this study is unknown. According to the latest report from the Australian Institute of Health and Welfare (AIHW), there were 66 752 Indigenous Peoples in NSW who had at least one Indigenous-specific health check in 2017–2018.1 For phase 2, 15–20 qualitative interviews will be conducted at each of the four participating sites using purposive sampling. Therefore, our aim is to recruit 80 participants (20 participants at each site × 4 sites). This sample size is based on sample guidelines from previously conducted, similar studies6 7 and advice from the Aboriginal advisory committee. The project commenced in July 2020 and will be completed by 31 July 2022.

Patient and public involvement

The research project, research question and outcome measures and the use of associated methods were designed in consultation with the Aboriginal Advisory Council in Tamworth, NSW, Australia. Further, this research is designed in consultation with Aboriginal Controlled Health Services (Walhallow Aboriginal Health Corporation and Armajun Aboriginal Health Service). Dissemination of the results will include a range of strategies aimed to meet the needs of Aboriginal Corporations and service providers, primary healthcare providers, members of the community, Local Health Districts, policy-makers influencing government and non-government health services as well as an academic audience. They will include information packs, short videos, posters, social media advertising, presentations, workshops and academic papers.

Ethics and dissemination

The project has approval from the Aboriginal Health and Medical Research Council of NSW (AH&MRC of NSW) and the University of New England Human Research Ethics Committee. Findings will be disseminated via peer-reviewed journal articles, conferences, government and relevant stakeholder reports, and infographics.

Data analysis

Phase 1 quantitative data analysis

The statistical analyses of the MBS data include two components: (1) descriptive analyses of the characteristics of Indigenous Peoples of Australia claiming health assessment services; (2) examination of the use of health assessment services over time, using statistical control charts and multivariable generalised estimating equation (GEE) regression models. Descriptive analyses will include identifying the demographic characteristics of the Indigenous Peoples who have claimed health services- which will be examined before and during the COVID-19 pandemic lockdown period. These cross-sectional analyses will use statistical methods including Student’s t-tests, analysis of variance, χ2 tests and logistic regression. Statistical control charts will be constructed to examine the trend of changes in the count of health services among Indigenous Peoples pre-COVID-19 and during the COVID-19 pandemic. Multivariable GEE regression models will be used to conduct longitudinal analyses, examining the use of health services including both health assessments and telehealth services/video consultation over time, taking into account potentially repeated use of these services by individuals. To control potential confounding in analyses, covariates include the variables ascertained via the MBS data including sociodemographic characteristics and clinical factors. We will adjust the models for the effects of all covariates. Statistical significance is set at p<0.05. All analyses will be undertaken with Stata (V.16).

Phase 2 qualitative data analysis

Analysis of data will be conducted by the research team in collaboration with partners and participants, using a thematic approach guided by the principles of indigenist praxis, storytelling and collaborative research. The analytical process will be informed by thematic analysis8 and ongoing consultation with cultural advisory committee members. This process recognises the way in which collective reflexivity is embedded into the process of meaning making and how this is interpreted through the addition of based meaning.9 Storytelling analytical processes will also be used.10 Following analysis, findings will be taken back to the community for the purpose of developing strategies to inform practice and the possible development of hypotheses for future studies.

Study outcomes

Regarding phase 1, the primary outcome measure is the health assessment services (eg, consultations and procedures) of Indigenous Peoples provided by primary care practitioners between January 2019 to December 2021. The secondary outcomes are the use of corresponding telehealth services and video consultations of these health assessment services. Phase 2 outcomes will include a comprehensive understanding of the barriers to, and enablers of, engagement with preventive health checks and strategies to be developed and implemented to improve participation in preventive health behaviours of Indigenous Peoples residing in NSW.

Discussion

The analysis of MBS data will identify the patterns of uptake of Indigenous Health Assessment checks during COVID-19 which will help to indicate whether there is the need for targeted strategies to improve rates of attendance in certain locations. The qualitative results will provide participants perspectives of the impact of COVID-19 on their attendance at preventative health appointments, barriers and difficulty to access and suggestions for improvements. Health prevention can lead to early detection of issues that are potentially treatable. Given the high level of chronic illness in Indigenous Peoples of Australia, it is important to understand behaviours related to health prevention behaviours. However, it is increasingly recognised that there are little data in this area related to Indigenous People of Australia. This research project will result in evidence that can be used in the primary care setting to understand the impact of COVID-19 on Indigenous clients, to determine barriers and enablers of access to preventive health services, and to develop strategies to improve access to health prevention services where needed.

Study status

To date, we have submitted the ethics application to obtain the MBS data for phase 1, and received ethical approval from the AH&MRC NSW for phase 2 interviews.
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Authors:  Rachel M Peake; Debra Jackson; Jackie Lea; Kim Usher
Journal:  J Transcult Nurs       Date:  2020-01-16       Impact factor: 1.959

2.  Yarning/Aboriginal storytelling: towards an understanding of an Indigenous perspective and its implications for research practice.

Authors:  Lynore K Geia; Barbara Hayes; Kim Usher
Journal:  Contemp Nurse       Date:  2013-12       Impact factor: 1.787

3.  Aboriginal and Torres Strait Islander communities forgotten in new Australian National Action Plan for Human Influenza Pandemic: "Ask us, listen to us, share with us".

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Journal:  Med J Aust       Date:  2010-09-20       Impact factor: 7.738

4.  Living with diabetes and disadvantage: A qualitative, geographical case study.

Authors:  Tamara Power; Ray Kelly; Kim Usher; Leah East; Jo Travaglia; Hamish Robertson; Ann Wong; Debra Jackson
Journal:  J Clin Nurs       Date:  2020-05-07       Impact factor: 3.036

5.  The uptake of Aboriginal and Torres Strait Islander health assessments fails to improve in some areas.

Authors:  Heike Schütze; Lisa Jackson Pulver; Mark Harris
Journal:  Aust Fam Physician       Date:  2016-06

6.  Aboriginal Community Controlled Health Organisations are taking a leading role in COVID-19 health communication.

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Journal:  Aust N Z J Public Health       Date:  2020-06-24       Impact factor: 2.939

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