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Record W4394872990 · doi:10.1111/ajr.13122

Health equity in clinical trials for regional, rural and First nations communities: Need for networked clinical trial system, through a values and purpose‐aligned system culture

2024· article· en· W4394872990 on OpenAlexaboutno aff
Sabe Sabesan, Melanie Poxton

Bibliographic record

VenueAustralian Journal of Rural Health · 2024
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
Fundersnot available
KeywordsEquity (law)Clinical trialHealth equityEconomic growthBusinessFamily medicineMedicinePolitical scienceNursingPublic healthEconomicsInternal medicineLaw

Abstract

fetched live from OpenAlex

Clinical trials are essential components of health practice and are vital to developing new therapies, advancing interventions, improving service delivery and enhancing models of care.1 For patients, participation in clinical trials improves outcomes in many disease areas and reduces variation in practice, due to strict monitoring requirements. For health practitioners, clinical trials present an opportunity to be at the cutting edge of best practice. For services, clinical trials improve standard procedures. For health systems, industry sponsored trials are an additional source of revenue that could be reinvested to build clinical trial units. Reports suggest that there is significant return on investment in this sector.2 For these and other reasons, the new National Clinical Trial Governance Framework has called for clinical trials to be included as a routine aspect of clinical practice.3 In the cancer care sector, which serves a significant number of patients with incurable diseases, international guidelines recommend clinical trials as the first option.4 This means, to be aligned with international best practice, every cancer service should be offering clinical trials to all cancer patients regardless of postcode, at least for patients with incurable diseases. Australia and many Western countries have invested significant resources to build clinical trial capabilities and enable engagement in local and international trials. However, people in regional, rural and First nations communities continue to have limited access to trials close to home.5, 6 As a result, they must endure substantial travel, major costs and inconvenience, and often, must relocate to metropolitan centres or pass up the opportunity to participate. This is a key challenge highlighted by the accompanying commentary (Walsh et al.)7 and specifically emphasised in the accompanying research paper (McPhee et al.).7, 8 Alarmingly, an MJA study recently described particularly poor representation of First nations communities in trials (exemplified in trials of parenting programs).9 Many of the challenges and barriers to health services in regional, rural and First nations communities are apparent (or even more pronounced) in the case of clinical trials. Workforce shortages and turn over at all levels, limited skills and awareness among staff of the potential benefit of trials, and inadequate investment in infrastructure are common. This constrains such sites from attracting sponsors and hosting clinical trials as stand-alone sites. Beyond this, system cultural issues within rural and First nations services may stifle participation, or the economic imperatives of metropolitan trial units and their sponsors may overrule. In the light of the above, it is not unreasonable to conclude that the majority of regional, rural, remote and First nations health services are unable to function as stand-alone sites for clinical trials. As an alternative, a networked approach that decentralises trial access has been advocated by Government reviews and Government strategic plans, including by bodies such as the NH&MRC. It is pleasing to see a commentary recommending such decentralised trials in this edition (Walsh et al.).7 As an example, to establish decentralised clinical trials at system level, the Commonwealth Government, via the Medical Research Future Fund (MRFF), have funded states and territories to establish the Australian Teletrial Program led by Queensland health, likewise, the New South Wales and Australian Capital Territory governments established regional, rural and remote trial programs in 2019. These two initiatives, with combined value of $100 M, use the Australasian Teletrial Model (originally designed by the rural and regional group of Clinical Oncology Society of Australia) as the mechanism to connect larger and smaller sites to form trial clusters. In that way, some or all aspects of trials can potentially be offered at smaller centres across the country. (Operational details of this model can be found in the National Teletrials Compendium; https://www.health.gov.au/resources/collections/the-national-teletrials-compendium). These programs aspire to set up an enabling infrastructure, establish regulatory processes and build capacity to create a viable networked and decentralised trial system. Likewise, the PARTNER program aims to build trial capacity in regional and rural primary care practices (https://partnernetwork.com.au/). Such programs use regional clinical trial coordinating centres (RCCC) in each state/territory to help clinicians navigate the necessary approval processes. Over the last 2 years, some trials have been conducted via the teletrial model. This has improved patient access to trials across rural, regional and remote sites across many diseases. We now have a $100 M program to improve trial access to regional, rural, remote and First nations communities. Health services in all states and territories are incorporating trials into their strategic plans. This enabling infrastructure program relies on overarching system ownership, engagement and leadership across all layers of the national, state and territory heath systems. It will require a values and purpose aligned system culture, which can support and enable program officers, RCCC staff and champions departments of health, health services and the frontline workforce, to drive uptake at clinical levels. The current culture of health services working in isolation in Australia does not provide the platform for collaboration and impedes harmonised national regulatory processes, resulting in long and variable regulatory work for trial coordinators, clinical researchers and sponsors. Working as clinicians in Townsville, designing, piloting and publishing on telehealth programs to provide care closer to home, the lack of alignment across systems and strategic plans is frustrating and has become a major psychological hazard for everyone involved. However, for patients, it is fundamentally a question of poor health equity and not having access to life changing and saving therapy. This is one of the reasons the Clinical Oncology Society of Australia (COSA) and its national partners have embarked on an advocacy program for workplace culture reforms and have called for a new narrative on healthy workplace culture.10 COSA proposes a well-being centred definition and a System Lasagne model for creating healthy workplace cultures in democratic societies such as ours. A more values and purpose aligned culture is likely to ensure a greater focus on health equity, which in turn may ensure that programs related to regional, rural, remote and First nations communities will be better embedded into the whole of the system as illustrated in Figure 1. Together we do better, putting our people and communities first through action. Indeed, when we create a more values and purpose aligned health system culture, we will also be able to see clinical trials, teletrials and best practice initiatives more seamlessly embedded into systems and managed as core business. When the workforce is inspired by such systems, they are likely to be engaged and productive in their workplaces and remain mentally and physically well. Sabe Sabesan: Conceptualization; methodology; formal analysis; data curation; writing – original draft; writing – review and editing; project administration; validation. Melanie Poxton: Conceptualization; writing – review and editing; methodology; data curation; validation. Open access publishing facilitated by James Cook University, as part of the Wiley - James Cook University agreement via the Council of Australian University Librarians. Two authors declare no conflict of interest.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.100
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.502
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1000.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.804
GPT teacher head0.696
Teacher spread0.107 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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