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Enregistrement 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 sur OpenAlexaboutno aff
Sabe Sabesan, Melanie Poxton

Notice bibliographique

RevueAustralian Journal of Rural Health · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueEthics in Clinical Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEquity (law)Clinical trialHealth equityEconomic growthBusinessFamily medicineMedicinePolitical scienceNursingPublic healthEconomicsInternal medicineLaw

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,100
score de la tête « metaresearch » (Gemma)0,014
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,502
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,1000,014
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,804
Tête enseignante GPT0,696
Écart entre enseignants0,107 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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