Using network analysis, which takes a holistic approach to health systems, we aimed to identify which psychosocial burden dimensions are the most central and, thus, critical to prioritising to improve the overall health of people with type 1 diabetes (PwT1D).

A cross-sectional network analysis.

We used data from participants attending 44 diabetes centres in France, who were enrolled in the SFDT1 cohort study between June 2020 and February 2024.

We included 1430 PwT1D (52% women, median age (IQR) 41 (31–52.8) years) who had completed questionnaires on diabetes burden.

The items from questionnaires on diabetes distress, fear of hypoglycaemia, quality of life, treatment burden and the impact of diabetes on education and work.

The network was highly stable (correlation stability coefficient=0.75). We observed nine domains within the network; ‘Loneliness, Worrying & Burnout’ was the most influential. We further grouped the domains into three distinct syndromes labelled ‘Diabetes Distress’, ‘Treatment Burden’ and ‘Impact of Diabetes on Life’. These syndromes reflect the most relevant pillars of the psychosocial burden in PwT1D.

We observed that ‘Loneliness, Worrying & Burnout’ is the most influential psychosocial burden network domain to prioritise for type 1 diabetes care. This new network-based approach opens the path to defining personalised interventions targeting the most critical burden parameters to expect the most significant overall beneficial impact on PwT1D’s health.

NCT04657783.

Hospital data can inform decision-makers with real-time evidence, yet it remains underutilised. This study aims to compare international health technology assessment (HTA) and regulatory real-world evidence (RWE) guidance, focusing on their applicability to hospital data.

We used a two-step sequential qualitative design: a scoping review and semi-structured interviews with HTA experts. We searched for RWE guidance for HTA in 12 countries: the UK, Germany, Italy, Spain, France, Finland, the Netherlands, Portugal, Denmark, Canada, the US and Australia, along with the European Medicines Agency and Food and Drug Administration. The expert interviews aimed to validate document selection and assess their applicability to hospital data. We analysed the interviews thematically.

We identified 19 guidance documents providing recommendations for RWE. Of these, four documents explicitly provided recommendations tailored to hospital data, while two others did so implicitly. The scope, definition and applications of RWE vary among guidance. Recommendations across all agencies mainly address the clinical-effectiveness domain, with limited guidance on quality-of-life and patient-reported outcomes, and none on real-world cost. The interviews identified seven themes playing a role in using hospital data: data-related, generalisability, ethical/legal, organisational, communication, governance and technology-related. Barriers included data availability, access, timeliness, quality, validation and heterogeneity. HTA experts emphasised the need for standardised policies.

There is a lack of harmonisation in assessing RWE among HTA and regulatory agencies. The available RWE guidance documents provide limited guidance on real-world hospital data. Considering their unique nature and to unlock their potential for HTA, we emphasise the need for more in-depth guidance tailored to the hospital context.

The perspectives of stakeholders directly affected by mental health services for autism spectrum disorder (ASD) are essential for the quality of these services. However, it is crucial that these perspectives are informed by the best available evidence and adapted to the local context. This study aims to analyse barriers related to mental health services for children and adolescents with ASD from the perspective of families and caregivers, considering social, racial and gender aspects.

Three steps will be taken: stakeholder engagement through an online meeting to refine the research question and understand the magnitude of the problem; (b) qualitative evidence synthesis using five databases and grey literature to identify studies that have collected and analysed qualitative data on barriers to mental health services for children and adolescents with ASD in Brazil. Only studies conducted in Brazil that consider the perspectives of family members and caregivers will be included. (c) A citizen panel with families of children and adolescents with ASD will be used to discuss and validate the synthesis findings.

We will provide a set of evidence-informed and stakeholder-experienced barriers to mental health services for children with ASD in Brazil. This represents an effort to engage stakeholders in evidence descriptions to inform policy. We plan to disseminate the findings through various means, including peer-reviewed journal publications, presentations at national conferences, invited workshops and webinars, patient associations and academic social media platforms. The project was approved by the Ethics Committee for Research at the University of Sorocaba (approval number 78747224.7.0000.5500).

Open Science Framework—10.17605/OSF.IO/DVAKG.

The needs of patients in palliative care (PC) are multiple and changing. Several tools assess them, but there is a lack of homogeneity among them. A specific diagnostic tool to assess complexity in PC (IDC-Pal: Instrumento Diagnóstico de la Complejidad en Cuidados Paliativos, in Spanish) was created in community and hospital settings with 36 items to diagnose PC complexity, but its application in primary care is difficult.

(1) To generate an adapted version to primary care of the IDC-Pal tool to identify and stratify PC complexity in the adult population. (2) To determine face, content, criterion and construct validity and reliability of the new instrument.

There are three phases of clinimetric cross-sectional observational validation study: Phase 0: Review of the original tool structure suitability for its use in primary care setting by a committee (researchers and the original developer team). Phase 1: Expert consensus phase by Delphi technique with physicians, nurses and social workers from primary care and PC. Phase 2: Empirical validation of the resulting tool in primary care using a cross-sectional descriptive design involving physicians and case manager nurses from across Andalucia, who will recruit adult patients with PC needs from healthcare centres that accept to participate in the study. Reliability (Cronbach’s alpha, McDonald’s omega, interclass correlation coefficient) and construct validity (exploratory factor analysis) analysis will be carried out; convergent criterion validity will be assessed with the NEC-PAL (Necesidades Paliativas Questionnaire, in Spanish) instrument. Differences by gender, type of professional and place where it is administered will be explored. Interobserver reliability analyses will be carried out using intraclass correlation coefficient, Bland-Altman plots and concordance analysis. Phase 0–1 results were expected by 2025 and Phase 2 results by 2026. Reporting method: CRISP checklist. This protocol was conducted without patient or public participation.

This study evaluates a novel, co-designed tool to diagnose PC complexity to inform practice recommendations for a more efficient allocation of resources that may be included in future clinical practice guidelines. The study has been approved by the Provincial Research Ethics Committee of Málaga as of July 2023 and will be conducted in accordance with the principles established in the Declaration of Helsinki, the Council of Europe Convention on Human Rights and Biomedicine, and the requirements established in Spanish legislation. The study conforms to the norms of good clinical practice. All participants in the Delphi study must express their agreement to participate in the survey by providing informed consent (IC) before beginning the questionnaire. For the development of Phase 2, the primary care professionals who agree to participate will sign a researcher commitment, and the patients included in the study will sign a written IC before the data collection. Dissemination of the results will inform future research on the appropriate diagnosis of PC complexity in the primary care setting, which is of paramount importance due to its gatekeeper position. Dissemination will be aimed at academics and healthcare professionals through publications, presentations and training workshops on the use of the diagnostic tool.