Addressing physical inactivity is a promising dementia risk reduction strategy due to its direct benefits for brain health, and indirect benefits for other modifiable dementia risk factors. A potential limitation of previous interventions is that they often overlook how increasing physical activity affects other behaviours throughout the 24-hour day, such as sleep and sedentary behaviour, which are also important for brain health. Further, interventions are rarely tailored to the individual, considering their needs, preferences and constraints that may serve as barriers or facilitators to behaviour change. The current phase I randomised controlled trial, Small Steps, aims to investigate feasibility, acceptability and preliminary effectiveness of a personalised 24-hour time-use intervention to improve lifestyle and cognitive health in older adults.

Participants aged ≥65 years from Adelaide, South Australia will be recruited and randomised to either the Extended or Condensed programme. During the first 12 weeks, participants in the Extended programme will use a tailored website to set personalised weekly goals to move towards their ‘optimal’ 24-hour day for brain health, facilitated by weekly website ‘check-ins’ and weekly phone calls with a research staff member. Participants randomised to the Condensed programme will have access to the website educational resources only but will not undergo personalised goal setting or telephone calls. Following the introductory phase (first 12 weeks), phone calls will be gradually withdrawn for the Extended programme. Primary (feasibility and acceptability) and secondary outcomes (changes in time use, cognitive function and behaviour change metrics) will be assessed 12, 24 and 36 weeks after the beginning of the intervention.

Ethics approval has been obtained from the University of South Australia’s Human Research Ethics Committee (205989). Study findings will be disseminated through peer-reviewed journal articles, conference presentations, media releases and community engagement.

NCT06291909).

To estimate the healthcare costs associated with post-stroke dysphagia during acute hospitalisation and to identify factors influencing these costs in a tertiary hospital setting in Vietnam.

A cross-sectional study using clinical and billing data from hospital records.

The study was conducted at the Neurology Center of Bach Mai Hospital, a tertiary care facility in Hanoi, Vietnam, between June 2020 and January 2022.

A total of 951 patients aged ≥18 years with acute ischaemic stroke confirmed by CT or MRI were included. Dysphagia was assessed using the Gugging Swallowing Screen.

Direct healthcare costs during hospitalisation were collected from the hospital billing system and categorised as medications, diagnostic imaging, medical supplies, accommodation, food, procedures and laboratory tests. All costs were converted to USD. Associations between patient characteristics and total healthcare costs were analysed using generalised linear models (Gamma distribution with log link), applying robust standard errors.

The median treatment cost was 10.08 million VND (436.24 USD) in the dysphagia group vs 6.37 million VND (275.78 USD) in the non-dysphagia group. Costs increased with dysphagia severity, reaching 22.64 million VND (979.49 USD) among patients with severe dysphagia. In multivariate analysis, dysphagia was associated with a 21% increase in costs (exp(β) = 1.21; 95% CI 1.10 to 1.33; p14, pneumonia, prolonged hospitalisation and higher educational level.

Post-stroke dysphagia substantially increases acute hospitalisation costs in Vietnam. Early screening, standardised management and preventive care for complications may improve outcomes and reduce costs.

The study was registered on the Research Registry website (https://www.researchregistry.com/) under the unique identification number: researchregistry8203.

The use of digitally enabled technology is considered a promising platform to prevent morbidity and enhance youth mental health as youth are growing up in the digital world and accessing the Internet at increasingly younger age. This scoping review will identify, describe and categorise the models, frameworks and strategies that have been used to study the implementation of digital mental health interventions targeted at youth aged 15–34 years.

We will conduct a scoping review following the Arksey-O’Malley five-stage scoping review method and the Scoping Review Methods Manual by the Joanna Briggs Institute. Implementation methods will be operationalised according to pre-established aims: (1) process models that describe or guide the implementation process; (2) evaluation frameworks evaluating or measuring the success of implementation; and (3) implementation strategies used in isolation or combination in implementation research and practice. Primary research studies in all languages will be identified in CINAHL, Cochrane Central Register of Controlled Trials, Embase, ERIC, Education Research Complete, MEDLINE and APA PsycINFO on 6 January 2025. Two reviewers will calibrate screening criteria and the data charting form and will independently screen records and abstract data. We will use the Evidence Standards Framework for Digital Health Technologies by the National Institute for Health and Care Excellence to classify digital interventions based on functions, and a pre-established working taxonomy to synthesise conceptually distinct implementation outcomes. Convergent integrated data synthesis will be performed.

Ethical approval is not applicable as this scoping review will be conducted only on data presented in the published literature. Findings will be published and directly infused into our multidisciplinary team of academic researchers, youth partners, health professionals and knowledge users (healthcare and non-governmental organisation decision makers) to co-design and pilot test a digital psychoeducational health intervention to engage, educate and empower youth to be informed stewards of their mental health.

In 2022, the WHO conditionally recommended the use of treatment decision algorithms (TDAs) for treatment decision-making in children

Within the Decide-TB project (PACT ID: PACTR202407866544155, 23 July 2024), we aim to generate an individual-participant dataset (IPD) from prospective TB diagnostic accuracy cohorts (RaPaed-TB, UMOYA and two cohorts from TB-Speed). Using the IPD, we aim to: (1) assess the diagnostic accuracy of published TDAs using a set of consensus case definitions produced by the National Institute of Health as reference standard (confirmed and unconfirmed vs unlikely TB); (2) evaluate the added value of novel tools (including biomarkers and artificial intelligence-interpreted radiology) in the existing TDAs; (3) generate an artificial population, modelling the target population of children eligible for WHO-endorsed TDAs presenting at primary and secondary healthcare levels and assess the diagnostic accuracy of published TDAs and (4) identify clinical predictors of radiological disease severity in children from the study population of children with presumptive TB.

This study will externally validate the first data-driven WHO TDAs in a large, well-characterised and diverse paediatric IPD derived from four large paediatric cohorts of children investigated for TB. The study has received ethical clearance for sharing secondary deidentified data from the ethics committees of the parent studies (RaPaed-TB, UMOYA and TB Speed) and as the aims of this study were part of the parent studies’ protocols, a separate approval was not necessary. Study findings will be published in peer-reviewed journals and disseminated at local, regional and international scientific meetings and conferences. This database will serve as a catalyst for the assessment of the inclusion of novel tools and the generation of an artificial population to simulate the impact of novel diagnostic pathways for TB in children at lower levels of healthcare. TDAs have the potential to close the diagnostic gap in childhood TB. Further finetuning of the currently available algorithms will facilitate this and improve access to care.

Perioperative adverse events increase morbidity and mortality. The rate and severity of complications and the risk for subsequent mortality are increased after high-risk procedures and in elevated-risk patients. Over the past decades, a multitude of prognostic studies identified perioperative risk factors at the population level. However, to allow for the advancement of precision surgery strategies, improved risk prediction on the individual patient level is warranted. Comprehensive, consecutive, multisource, structured, high-quality patient-related and procedure-related data sets, together with thorough follow-up and combined with state-of-the-art machine-learning analyses, are needed to facilitate precise prediction of perioperative complications. Therefore, we designed and currently conduct the Heidelberg Perioperative Deep Data study (HeiPoDD). Here, we report the rationale and design of the HeiPoDD study.

HeiPoDD is a prospective, single-centre, exploratory cohort study aiming to build up a large-scale deep-data base and corresponding biomaterial collection. 1040 adult patients planned for elective high-risk, non-cardiac surgery for any indication at Heidelberg University Hospital, Germany will be included. The obtained study-specific data set includes clinical data, lab values, genome- and proteome analysis as well as plasma, serum and peripheral blood mononuclear cells (PBMC) collected before and at days 1, 3 and 7 postsurgery. Urine samples are collected before and at day 1 postsurgery. Structured follow-up for perioperative complications such as redo-surgery, length of intensive care stay or length of hospital stay is conducted at days 30, 90 and 1 year postsurgery and for disease progression and survival after 3 and 5 years postsurgery. All study data will be transferred to the HeiPoDD registry to allow merging with all available routine clinical data from the hospital information system including imaging studies as well as haemodynamic and respiratory biosignals. Biomaterials will be stored in the HeiPoDD biomaterial bank to allow further analyses.

The trial protocol and amendments were approved by the ethics committee of the University of Heidelberg (S-758/2021). The protocol is registered with the German Clinical Trial Register (DRKS00024625). Participating patients’ data will be recorded only in pseudonymised form. After completion of the study, data collected during the study will be kept on file for up to 30 years. Biomedical samples collected during the study and entered into the biobank will be held for the same amount of time. The findings will be disseminated in peer-reviewed academic journals.

Outcome after surgery depends on both patient-related as well as procedure-related risks. Complications after surgery are a significant burden to patients and to the health system. A vast amount of often unstructured data from different sources are generated during surgery, which contain valuable information associated with outcome. Advances in computer hardware and machine learning now increasingly facilitate the development of prediction models in standardised, parametric, information-rich areas such as the perioperative setting. For the development and validation of risk scores and prediction models, high-fidelity data sources are required to arrive at meaningful and reliable predictions. However, data quality standards in retrospective studies are rarely met. Therefore, the prospective Heidelberg Perioperative Deep Data Registry and Biomaterial Bank (HeiPoDD - Registry and Bio Bank) was started to implement a clinical data base and a corresponding biobank merging the entirety of available clinical records.

The HeiPoDD - Registry and Bio Bank is a study-driven, prospective, single-centre observational registry data base and biomaterial bank. It contains data and material from eligible patients who give informed consent and undergo elective non-cardiac high-risk surgery at the surgical centre of the Heidelberg University Hospital. The screening for eligibility started in January 2022, with no maximum sample size specified in advance. Routine data are recorded and stored during hospital stay and potential readmissions within 90 days after index surgery. The data are merged with the potentially available genome, proteome, flow cytometry, and bio signal data. Endpoints are obtained from routine observations, stored data in the hospital information system and follow-up visits. Further, data and biological specimens from separate perioperative studies with the patients’ consent can be transferred into the HeiPoDD - Registry and Bio Bank as well. This large-scale data collection will allow the calculation of endpoint-specific prediction models using logistic regression models as well as machine learning models. The first 1040 patients included in the HeiPoDD - Registry and Bio Bank are also included in the HeiPoDD study.

The trial protocol and subsequent amendments were approved by the ethics committee of the University of Heidelberg (S-745/2021). Participating patients’ data will be entered only in pseudonymised form. Data and biomaterials will be kept for up to 30 years. The findings will be disseminated in peer-reviewed academic journals.

DRKS00025924, registered on 2021-11-12.

To compare the quality and time efficiency of physician-written summaries with customised large language model (LLM)-generated medical summaries integrated into the electronic health record (EHR) in a non-English clinical environment.

Cross-sectional non-inferiority validation study.

Tertiary academic hospital.

52 physicians from 8 specialties at a large Dutch academic hospital participated, either in writing summaries (n=42) or evaluating them (n=10).

Physician writers wrote summaries of 50 patient records. LLM-generated summaries were created for the same records using an EHR-integrated LLM. An independent, blinded panel of physician evaluators compared physician-written summaries to LLM-generated summaries.

Primary outcome measures were completeness, correctness and conciseness (on a 5-point Likert scale). Secondary outcomes were preference and trust, and time to generate either the physician-written or LLM-generated summary.

The completeness and correctness of LLM-generated summaries did not differ significantly from physician-written summaries. However, LLM summaries were less concise (3.0 vs 3.5, p=0.001). Overall evaluation scores were similar (3.4 vs 3.3, p=0.373), with 57% of evaluators preferring LLM-generated summaries. Trust in both summary types was comparable, and interobserver variability showed excellent reliability (intraclass correlation coefficient 0.975). Physicians took an average of 7 min per summary, while LLMs completed the same task in just 15.7 s.

LLM-generated summaries are comparable to physician-written summaries in completeness and correctness, although slightly less concise. With a clear time-saving benefit, LLMs could help reduce clinicians’ administrative burden without compromising summary quality.

Fostering well-being and positive mental states are major aims of many strategies for the promotion of public mental health. Such strategies become increasingly important since many people worldwide suffer from psychological distress and mental disorders, resulting in substantial individual and societal costs. Within the last years, there is a shift from strategies solely focusing on the reduction of mental distress to those also aiming at the promotion of positive mental states. Correlates, that is, psychosocial resources, of positive mental states may represent a starting point for those interventions. To date, a comprehensive systematic review on those correlates is still missing as well as knowledge on culture-related differences.

A systematic review and meta-analysis on the longitudinal link between psychosocial resources (eg, income, optimism, social support and community coherence) and hedonic and eudaimonic positive mental states (eg, life satisfaction, happiness and forward-looking attitude) will be conducted. Using Hofstede’s dimensions of culture and global metrics of Education, Industrialisation, Richness and Democratic values (EIRDness), we will examine culture-related moderators of these associations. The systematic review will be conducted following standards of the Cochrane Collaboration and will be reported in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyse guidelines. Literature searches for primary studies will be carried out across four databases (APA PsycNet, Embase, Scopus and the Web of Science Core Collection), including all publications up to 27 January 2025. Screening at the level of titles and abstracts will be performed with the help of artificial intelligence software (ASReview). Study quality will be assessed using an adapted version of the Newcastle Ottawa Scale. We will employ multilevel meta-analyses of correlation coefficients, with cultural variables being examined as moderators.

This systematic review does not require ethics approval, as it solely uses previously published data. Materials and data used for this review will be shared via open repositories (https://osf.io/2xkhs/). Results will be published in an international, peer-reviewed journal and presented at conferences including plain language summaries.

https://doi.org/10.17605/OSF.IO/K7X52

Regular physical exercise has well-known health benefits and is generally considered safe for adults with congenital heart disease (ACHD). However, many individuals with ACHD remain insufficiently physically active. This study explored the barriers and needs related to physical exercise as experienced by people with ACHD to inform the development of tailored strategies that support and promote increased physical activity.

Qualitative study using semistructured interviews conducted between March and May 2023. The interview guide was based on the Fear Avoidance Model, Tampa Scale for Kinesiophobia Heart and European Society of Cardiology guidelines on sports cardiology and exercise for cardiovascular diseases. Interviews were coded and thematically analysed to identify specific physical exercise barriers and needs.

Data saturation was reached after interviewing 19 individuals living with ACHD (median age 46 years (range 24–75), 10 women). Thematic analysis identified four main barriers: (1) physical symptoms and negative past experiences, (2) alienation from peers, (3) perceived decline in physical fitness over time and (4) lack of knowledge about personal physical boundaries. Two needs were identified: (1) personalised, disease-specific exercise information and advice and (2) structured support and guidance from healthcare professionals.

People with ACHD face multiple barriers to engaging in physical exercise. There is a clear need for specific, personalised exercise advice from healthcare providers and the development of long-term programmes and interventions to overcome relevant barriers.