Cervical cancer is a preventable disease and is related to persistent health equities. Whilst several priority populations face health inequities related to cervical cancer prevention, my co-authors and I bring special attention to those who identify as culturally and linguistically diverse (CALD). By reflecting on some of our research and work experiences, we propose four ways that governments and policymakers can enact the community engagement goals of the published and proposed cervical cancer prevention and treatment strategies for CALD communities.
View Article and Find Full Text PDFBackground: As the world's population ages, there is a growing concern with frailty, marked by reduced strength and greater vulnerability to stress. Overcoming obstacles like reluctance towards screening methods in this process is crucial for identifying and addressing frailty at an early stage. Understanding older people's perspectives can help adapt screening procedures in primary healthcare settings.
View Article and Find Full Text PDFObjective: Governments use vaccination mandates, of different degrees of coerciveness, to encourage or require childhood vaccination. We elicited the views of well-informed community members on the public acceptability of using childhood vaccination mandates in Australia.
Methods: Four community juries were conducted in Canberra, Launceston, Cairns and Melbourne, Australia between 2021 and 2022.
Objective: The objective of this scoping review is to understand the range and types of evidence in relation to the views of general practitioner and other general practice staff on sharing general practice data for research purposes.
Introduction: The use of general practice data for research has the potential to drive transformative improvements in health care. The vast amount of patient data collected in general practice is valuable and provides researchers with data to conduct large-scale studies and generate evidence that can inform policy decisions, support the development of personalized medicine, and enhance patient outcomes.
Objective: With the recent increase in research into public views on healthcare artificial intelligence (HCAI), the objective of this review is to examine the methods of empirical studies on public views on HCAI. We map how studies provided participants with information about HCAI, and we examine the extent to which studies framed publics as active contributors to HCAI governance.
Materials And Methods: We searched 5 academic databases and Google Advanced for empirical studies investigating public views on HCAI.
Introduction: General practice data, particularly when combined with hospital and other health service data through data linkage, are increasingly being used for quality assurance, evaluation, health service planning and research. In this study, we explored community views on sharing general practice data for secondary purposes, including research, to establish what concerns and conditions need to be addressed in the process of developing a social licence to support such use.
Methods: We used a mixed-methods approach with focus groups (November-December 2021), followed by a cross-sectional survey (March-April 2022).
Objective: The objective of this scoping review is to understand the scope and nature of evidence in relation to the ethical issues that arise when conducting health research with military personnel.
Introduction: Ethical obligations in human research have been debated for centuries. Historically, research conducted with military personnel has led to ethical controversies regarding autonomy, harm, and informed consent.
Objective: Mammographic screening for breast cancer is an early use case for artificial intelligence (AI) in healthcare. This is an active area of research, mostly focused on the development and evaluation of individual algorithms. A growing normative literature argues that AI systems should reflect human values, but it is unclear what this requires in specific AI implementation scenarios.
View Article and Find Full Text PDFApplications of artificial intelligence (AI) have the potential to improve aspects of healthcare. However, studies have shown that healthcare AI algorithms also have the potential to perpetuate existing inequities in healthcare, performing less effectively for marginalised populations. Studies on public attitudes towards AI outside of the healthcare field have tended to show higher levels of support for AI among socioeconomically advantaged groups that are less likely to be sufferers of algorithmic harms.
View Article and Find Full Text PDFIntroduction: The health and higher education sectors are increasingly using large administrative datasets for secondary purposes. Both sectors experience ethical challenges in the use of big data. This study identifies and explores how these two sectors are responding to these ethical challenges.
View Article and Find Full Text PDFBackground: There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race).
Objectives: Our objectives are to canvas the range of strategies stakeholders endorse in attempting to mitigate algorithmic bias, and to consider the ethical question of responsibility for algorithmic bias.
Methodology: The study involves in-depth, semistructured interviews with healthcare workers, screening programme managers, consumer health representatives, regulators, data scientists and developers.
Introduction: Internationally, cultural factors are associated with vaccine uptake and completion in ethnic minority communities. Whilst Australia has achieved high human papillomavirus (HPV) vaccination, little is known about how culture or ethnicity influences HPV vaccination engagement. To address these gaps, we partnered with our Local Health District to explore how one culturally and linguistically diverse (CALD) community engages with school and HPV vaccination.
View Article and Find Full Text PDFBackground: Alongside the promise of improving clinical work, advances in healthcare artificial intelligence (AI) raise concerns about the risk of deskilling clinicians. This purpose of this study is to examine the issue of deskilling from the perspective of diverse group of professional stakeholders with knowledge and/or experiences in the development, deployment and regulation of healthcare AI.
Methods: We conducted qualitative, semi-structured interviews with 72 professionals with AI expertise and/or professional or clinical expertise who were involved in development, deployment and/or regulation of healthcare AI.
Background: In recent years, innovations in artificial intelligence (AI) have led to the development of new healthcare AI (HCAI) technologies. Whilst some of these technologies show promise for improving the patient experience, ethicists have warned that AI can introduce and exacerbate harms and wrongs in healthcare. It is important that HCAI reflects the values that are important to people.
View Article and Find Full Text PDFIntroduction: Precision public health is an emerging and evolving field. Academic communities are divided regarding terminology and definitions, and what the scope, parameters and goals of precision public health should include. This protocol summarises the procedure for a scoping review which aims to identify and describe definitions, terminology, uses of the term and concepts in current literature.
View Article and Find Full Text PDFAim: To identify: 1) best practice aged care principles and practices for Aboriginal and Torres Strait Islander older peoples, and 2) actions to integrate aged care services with Aboriginal community-controlled primary health care.
Background: There is a growing number of older Aboriginal and Torres Strait Islander peoples and an unmet demand for accessible, culturally safe aged care services. The principles and features of aged care service delivery designed to meet the unique needs of Aboriginal and Torres Strait Islander peoples have not been extensively explored and must be understood to inform aged care policy and primary health care planning into the future.
Aim: In the crowded field of leadership research, Indigenous leadership remains under-researched. This article explores the Leadership Model of an Aboriginal Community Controlled Primary Health Care Organisation providing services to the Yolngu people of remote northern Australia: the Miwatj Health Aboriginal Corporation (Miwatj).
Background: The limited research which does exist on Indigenous leadership points to unique challenges for Indigenous leaders.
Background: The use of government health data for secondary purposes, such as monitoring the quality of hospital services, researching the health needs of populations, and testing how well new treatments work, is increasing. This increase in the secondary uses of health data has led to increased interest in what the public thinks about data sharing, in particular, the possibilities of sharing with the private sector for research and development. Although international evidence demonstrates broad public support for the secondary use of health data, this support does not extend to sharing health data with the private sector.
View Article and Find Full Text PDFIssue Addressed: Aboriginal and Torres Strait Islander peoples face challenges in accessing aged care and are less likely to use some services than their non-Indigenous counterparts. Culturally safe care is increasingly recognised as an enabler to improve access and quality of care. This study explored older Aboriginal peoples' perceptions and experience of culturally safe aged care.
View Article and Find Full Text PDFObjectives: Despite significant evidence of harms associated with high levels of sugar-sweetened beverage (SSB) consumption, and international moves towards regulation to curb overconsumption of such drinks, Australia has been slow to take policy action. This study provides in-depth insights into consumers' reactions to different SSB policy options.
Methods: Eight focus groups were undertaken with 59 regular SSB consumers and/or household purchasers, stratified by: young adults aged 21-29 years (no children), parents aged 35-50 (with children at home); gender; and socio-economic status.
Background: There is good evidence of both community support for sharing public sector administrative health data in the public interest and concern about data security, misuse and loss of control over health information, particularly if private sector organizations are the data recipients. To date, there is little research describing the perspectives of informed community members on private sector use of public health data and, particularly, on the conditions under which that use might be justified.
Methods: Two citizens' juries were held in February 2020 in two locations close to Sydney, Australia.
Background And Objective: Cervical cancer is the second most common malignancy affecting females in Southeast Asia. Human Papillomavirus (HPV) vaccines have been available since 2006. Several Association of Southeast Asian Nations (ASEAN) member countries have since introduced and/or piloted the HPV vaccine with adolescent females.
View Article and Find Full Text PDF