Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing

Participatory systems science for enhancing health and wellbeing in the Indian Ocean territories

Objectives

Co-creation of diabetes and obesity prevention with remote communities allows local contextual factors to be included in the design, delivery, and evaluation of disease prevention efforts. The Indian Ocean Territories (IOT) comprise the Christmas (CI) and Cocos Keeling Islands (CKI) and are remote Australian external territories located northwest of the mainland. We present results of a co-design process conducted with residents of IOT using realist inquiry and system mapping.

Methods

Interviews with 33 community members (17 CI, 14 CKI, 2 off Islands) on causes and outcomes of diabetes (2020/21) comprising community representatives, health services staff, dietitians, school principals and government administrators. Interviews were used to create causal loop diagrams representing the causes of diabetes in the IOT. These diagrams were used in a participatory process to identify existing actions to address diabetes, identify areas where more effort would be valuable in preventing diabetes, and to described and prioritize actions based on feasibility and likely impact.

Findings

Interviews identified 31 separate variables categorized into four themes (structural, food, knowledge, physical activity). Using causa loop diagrams, community members developed 32 intervention ideas that included strengthening healthy behaviors like physical activity, improving access to healthy and culturally appropriate foods, and overcoming the significant cost and availability limitations imposed by remoteness and freight costs. Interventions included relatively unique Island issues (e.g., freight costs, limited delivery timing), barriers to healthy food (e.g., limited fresh food availability), physical activity (e.g., transient workforce) and knowledge (e.g., multiple cultural backgrounds and language barriers, intergenerational knowledge).

Protocol for a bandit-based response adaptive trial to evaluate the effectiveness of brief self-guided digital interventions for reducing psychological distress in university students: the Vibe Up study

INTRODUCTION

Meta-analytical evidence confirms a range of interventions, including mindfulness, physical activity and sleep hygiene, can reduce psychological distress in university students. However, it is unclear which intervention is most effective. Artificial intelligence (AI)-driven adaptive trials may be an efficient method to determine what works best and for whom. The primary purpose of the study is to rank the effectiveness of mindfulness, physical activity, sleep hygiene and an active control on reducing distress, using a multiarm contextual bandit-based AI-adaptive trial method. Furthermore, the study will explore which interventions have the largest effect for students with different levels of baseline distress severity.

METHODS AND ANALYSIS

The Vibe Up study is a pragmatically oriented, decentralised AI-adaptive group sequential randomised controlled trial comparing the effectiveness of one of three brief, 2-week digital self-guided interventions (mindfulness, physical activity or sleep hygiene) or active control (ecological momentary assessment) in reducing self-reported psychological distress in Australian university students. The adaptive trial methodology involves up to 12 sequential mini-trials that allow for the optimisation of allocation ratios. The primary outcome is change in psychological distress (Depression, Anxiety and Stress Scale, 21-item version, DASS-21 total score) from preintervention to postintervention. Secondary outcomes include change in physical activity, sleep quality and mindfulness from preintervention to postintervention. Planned contrasts will compare the four groups (ie, the three intervention and control) using self-reported psychological distress at prespecified time points for interim analyses. The study aims to determine the best performing intervention, as well as ranking of other interventions.

ETHICS AND DISSEMINATION

Ethical approval was sought and obtained from the UNSW Sydney Human Research Ethics Committee (HREC A, HC200466). A trial protocol adhering to the requirements of the Guideline for Good Clinical Practice was prepared for and approved by the Sponsor, UNSW Sydney (Protocol number: HC200466_CTP).

TRIAL REGISTRATION NUMBER

ACTRN12621001223820.

Starting with us: Imagining relational, co-designed policy approaches to improve healthcare access for rural people with disability

CONTEXT

Access to healthcare for rural Australians is a wicked problem, particularly for rural people with disability. Contemporary healthcare access frameworks in Australia tend to overlook geography, use a 'one-size-fits-all approach', and disregard the valuable relationships between key rural healthcare stakeholders, including rural people with disability, rural health services and health professionals. The United Nation's Convention on the Rights of Persons with Disabilities requires the Australian Government to engage people with disability in the design of policies that will shape their day-to-day lives, including their access to healthcare. However, the nature and extent to which rural people with disability, rural health professionals and other key rural stakeholders are involved in the design of Australian policies impacting the health of rural people with disability are unknown.

AIM

This paper examines approaches taken to engage rural people with disability and health professionals in the design of Australian disability policy impacting healthcare access, and reimagines future processes which can improve healthcare access for rural people with disability.

APPROACH

Co-design and ethics of care lenses are applied to policy design approaches in this paper. We approach this work as rural disability and health academics, rural health professionals, and as rural people with disability, neurodivergence and family members of people with disability.

CONCLUSION

We argue future co-designed policy approaches could focus on driving change towards equity in healthcare access for rural people with disability by harnessing the relational nature of rural healthcare.

Delivering brief physical activity interventions in primary care: a systematic review

BACKGROUND

Physical activity (PA) brief interventions (BIs) involving screening and/or advice are recommended in primary care but frequency of delivery is unknown.

AIM

To examine the extent to which PA BIs are delivered in primary care, and explore factors associated with delivery, receipt, and patient receptivity.

DESIGN AND SETTING

A mixed-methods systematic review of studies conducted worldwide, with a narrative synthesis of results.

METHOD

CINAHL, EMBASE, MEDLINE, and APA PsycINFO index databases were searched for qualitative and quantitative studies, dating from January 2012 to June 2020, that reported the level of delivery and/or receipt of PA BIs in primary care, and/or factors affecting delivery, receipt, and patient receptivity. Quality was assessed using the Mixed Methods Appraisal Tool. Attitudes towards and barriers to delivery were coded into the Theoretical Domains Framework and the Capability, Opportunity, and Motivation Behaviour model.

RESULTS

After screening a total of 13 066 records, 66 articles were included in the review. The extent of PA screening and advice in primary care varied widely (2.4%-100% and 0.6%-100%, respectively). PA advice was delivered more often to patients with a higher body mass index, lower PA levels, and/or more comorbidities. Barriers - including a lack of time and training/guidelines - remain, despite recommendations from the World Health Organization and National Institute for Health and Care Excellence that PA advice should be provided in primary care. Few studies explored patients' receptivity to advice.

CONCLUSION

PA BIs are not delivered frequently or consistently in primary care. Addressing barriers to delivery through system-level changes and training programmes could improve and increase the advice given. Understanding when patients are receptive to PA interventions could enhance health professionals' confidence in their delivery.

A randomized controlled trial for evaluating the impact of integrating a computerized clinical decision support system and a socially assistive humanoid robot into grand rounds during pre/post-operative care

Although clinical decision support systems (CDSSs) are increasingly emphasized as one of the possible levers for improving care, they are still not widely used due to different barriers, such as doubts about systems’ performance, their complexity and poor design, practitioners’ lack of time to use them, poor computer skills, reluctance to use them in front of patients, and deficient integration into existing workflows. While several studies on CDSS exist, there is a need for additional high-quality studies using large samples and examining the differences between outcomes following a decision based on CDSS support and those following decisions without this kind of information. Even less is known about the effectiveness of a CDSS that is delivered during a grand round routine and with the help of socially assistive humanoid robots (SAHRs). In this study, 200 patients will be randomized into a Control Group (i.e. standard care) and an Intervention Group (i.e. standard care and novel CDSS delivered via a SAHR). Health care quality and Quality of Life measures will be compared between the two groups. Additionally, approximately 22 clinicians, who are also active researchers at the University Clinical Center Maribor, will evaluate the acceptability and clinical usability of the system. The results of the proposed study will provide high-quality evidence on the effectiveness of CDSS systems and SAHR in the grand round routine.

Tracking implementation within a community-led whole of system approach to address childhood overweight and obesity in south west Sydney, Australia

Background

Obesity is a chronic disease that contributes to additional comorbidities including diabetes, kidney disease and several cancers. Change4Campbelltown implemented a ‘whole of system’ approach to address childhood overweight and obesity. We present methods to track implementation and stakeholder engagement in Change4Campbelltown.

Methods

Change4Campbelltown aimed to build capacity among key leaders and the broader community to apply techniques from systems thinking to develop community-led actions that address childhood obesity. Change4Campbelltown comprised development of a stakeholder-informed Causal Loop Diagram (CLD) and locally-tailored action plan, formation of key stakeholder and community working groups to prioritise and implement actions, and continuous monitoring of intervention actions. Implementation data included an action register, stakeholder engagement database and key engagement activities and were collected quarterly by the project management team over 2 years of reporting.

Results

Engagement activities increased level of community engagement amongst key leaders, the school-sector and community members. Community-led action increased as engagement increased and this action is mapped directly to the primary point of influence on the CLD. As action spread diversified across the CLD, the geographical spread of action within the community increased.

Conclusions

This paper provides a pragmatic example of the methods used to track implementation of complex interventions that are addressing childhood overweight and obesity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11288-5.

Smartphone apps for the treatment of mental health conditions: status and considerations

Clinical and research interest in the potential of mobile health apps for the management of mental health conditions has recently been given added impetus by growing evidence of consumer adoption. In parallel, there is now a developing evidence base that includes meta-analyses demonstrating reductions in symptoms of depression and anxiety, and reduction in suicidal ideation. While these findings are encouraging, recent research continues to identify a number of potential barriers to the widespread adoption of mental health apps. These challenges include poor data governance and data sharing practices; questions of clinical safety relating to the management of adverse events and potentially harmful content; low levels of user engagement and the possibility of 'digital placebo' effects; and workforce barriers to integration with clinical practice. Current efforts to address these include the development of new models of care, such as 'digital clinics' that integrate health apps. Other contemporary innovations in the field such as digital sensing and just-in-time adaptive interventions are showing early promise for providing accessible and personalised care.