To describe prescription patterns, dosing and persistence of guideline-directed medical therapy (GDMT) among patients with heart failure with reduced ejection fraction in Singapore, and to identify factors associated with the use of quadruple therapy (ACE inhibitor (ACEi)/angiotensin II receptor blocker (ARB)/angiotensin receptor-neprilysin inhibitor (ARNI), β-blocker, mineralocorticoid receptor antagonist (MRA) and sodium-glucose cotransporter-2 (SGLT2) inhibitor).

Retrospective, observational cohort study.

Secondary and tertiary care settings across seven public hospitals in Singapore.

3999 adults hospitalised from 2020 to 2022 with a first heart failure-related admission and left ventricular ejection fraction ≤40%. Patients with absolute contraindications to specific GDMT classes were excluded from eligibility calculations.

Primary outcomes were the proportions of eligible patients prescribed each GDMT class and quadruple therapy at discharge. Secondary outcomes were 6-month prescription patterns, dose attainment and predictors of quadruple therapy use.

Among eligible patients, 80%–99% met criteria for each GDMT drug class, yet only 29% received quadruple therapy at discharge in 2022. Prescription rates for ACEi/ARB/ARNI (67%), beta-blockers (89%), MRAs (40%), and SGLT2 inhibitors (46%) remained suboptimal despite high eligibility. At discharge, over 90% of patients on ACEi/ARB/ARNI and beta-blockers received ≤50% of target doses. By 6 months, prescription rates declined by 16% for ACEi/ARB/ARNI, 26% for beta-blockers and 7% for MRAs, while SGLT2 inhibitor use increased. Older age (OR 0.97, 95% CI 0.96 to 0.98) and chronic kidney disease stage 3a–4 (OR 0.65 to 0.04) were associated with lower odds of receiving quadruple therapy, while significant institutional variation was observed.

Despite high eligibility, uptake and optimisation of GDMT remain poor in Singapore, with substantial treatment gaps driven by underprescription, inadequate dosing and discontinuation. Interventions targeting clinician awareness, postdischarge support and institutional practice variation may improve adherence to guideline-recommended therapy.

Atrial Fibrillation (AF) is the most common arrhythmia worldwide affecting an estimated 5% of people over the age of 65 and is a leading cause of stroke and heart failure. Identification of patients at risk allows preventative measures and treatment before these complications occur. Conventional risk prediction models are static, do not have flexibility to incorporate dynamic risk factors and possess only modest predictive value. Artificial intelligence and machine learning-powered health virtual twin technology offer transformative methods for risk prediction and guiding clinical decisions.

In this prospective observational study, 1200 patients will be recruited in two tertiary centres. Patients hospitalised with acute illnesses (sepsis, heart failure, respiratory failure, stroke or critical illness) and patients having undergone high-risk surgery (major vascular surgery, upper gastrointestinal surgery and emergency surgery) will be monitored with a patch-based remote wireless monitoring system for up to 14 days. Clinical and electrocardiographic data will be used for modelling the risk of new-onset AF. The primary outcome is episodes of AF >30 s and will be described as ratio of episodes/patient and as percentage of patients having episodes of AF. Secondary outcomes include 30-day and 90-day readmission rates and complications of AF.

The aim of this study is to generate data for the development and validation of health virtual twins predicting onset of AF in an at-risk population. The intelligent monitoring to predict atrial fibrillation (NOTE-AF) study is part of the TARGET project, a Horizon Europe funded programme which includes risk prediction, diagnosis and management of AF-related stroke (https://target-horizon.eu/).

The study has received approval by the Health Research Authority and the National Research Ethics Service (REC reference 24/NW/0170, IRAS project ID: 342528) in the UK and has been registered on clinicaltrials.gov (NCT06600620). Results will be disseminated as outlined in the TARGET protocol to communicate project ideas, activities and results to diverse audiences.

NCT06600620.

The objective of this study was to generate evidence for strengthening the local food system to contribute to improved dietary diversity among children in Ethiopia.

A community-based cross-sectional survey.

The study was conducted in the Amhara, Oromia and Somali regions of Ethiopia.

A total of 1475 children aged 6–23 months were included. Children requiring special care or not permanently residing in the study areas were excluded.

The primary outcome measure was the adequate Minimum Dietary Diversity, defined as the consumption of at least five of the eight defined food groups in the previous 24 hours.

Only 25.6% of children met the adequate minimum dietary diversity requirement. Children from households with backyard gardening (Adjusted odds ratio (AOR)=1.43, 95% CI 1.08 to 1.88), access to communication devices (AOR=1.99, 95% CI 1.51 to 2.64), attendance at cooking demonstrations (AOR=1.99, 95% CI 1.44 to 2.74), use of labour-saving and time-saving technologies (AOR=1.55, 95% CI 1.15 to 2.09) and irrigation use for crop production (AOR=1.78, 95% CI 1.26 to 2.52) had higher odds of meeting adequate minimum dietary diversity. Residence was strongly associated with dietary outcomes: children in Amhara had more than seven times the odds of achieving adequate minimum dietary diversity of children compared with Somali (AOR=7.56, 95% CI 4.92 to 11.62), while those in Oromia had nearly twice the odds (AOR=1.74, 95% CI 1.17 to 2.60).

Dietary diversity among children was low in the study areas. Strengthening local food systems through promotion of backyard gardening, cooking demonstrations, irrigation use, communication access and appropriate technologies could improve children’s dietary diversity. Regional disparities highlight the need for context-specific strategies, particularly to address the low dietary diversity in children.

Frailty is a key predictor of adverse surgical outcomes in older adults, contributing to increased postoperative complications, prolonged hospitalisation and delayed recovery. Prehabilitation—targeting improvements in physical function before surgery—can mitigate these risks. However, traditional programmes often face low adherence due to logistical barriers. Integrating smart wearable devices into tele-supervised, home-based prehabilitation may enhance adherence, engagement and clinical outcomes.

This trial protocol describes the PREhabilitation of frail elderly PAtients undergoing majoR surgEry at HOME study with the objective to evaluate the effectiveness of a wearable-enhanced, tele-supervised prehabilitation programme (swSEP) versus standard care (unsupervised prehabilitation, uSEP) on improving preoperative functional capacity and postoperative outcomes in frail older adults undergoing major elective surgery.

This single-centre, prospective, randomised controlled trial will enrol 190 patients aged ≥65 years scheduled for major elective, non-cardiac surgery at Singapore General Hospital. Participants with frailty (Edmonton Frail Scale ≥6) will be randomised 1:1 to either the swSEP group (tele-supervised exercise with Fitbit Inspire 3 monitoring) or the uSEP group (standard physiotherapy education, exercise booklet and inspiratory muscle training if maximal inspiratory pressure 2O). The primary outcome is change in 6 min walk test distance from baseline to 1–3 days presurgery. Secondary outcomes include 30 s sit-to-stand test, handgrip strength, postoperative complications (per American College of Surgeons National Surgical Quality Improvement Program), hospital length of stay, readmissions, five-level version of the EuroQol five-dimensional questionnaire (EQ-5D-5L) and adherence. Data will be analysed using t-tests, analysis of covariance, logistic regression and Cox models, with stratification by baseline nutritional status.

Approved by the SingHealth Institutional Review Board (CIRB Ref: 2024/2242). Trial registered on ClinicalTrials.gov (NCT06633614). Results will be disseminated via peer-reviewed publications and academic conferences. Contact: irb@singhealth.com.sg

ClinicalTrials.gov Identifier: NCT06633614

This study explored how Structured Medication Reviews (SMRs) are being undertaken and the challenges to their successful implementation and sustainability.

A cross-sectional mixed methods online survey.

Primary care in England.

120 clinical pharmacists with experience in conducting SMRs in primary care.

Survey responses were received from clinical pharmacists working in 15 different regions. The majority were independent prescribers (62%, n=74), and most were employed by Primary Care Networks (65%, n=78), delivering SMRs for one or more general practices. 61% (n=73) had completed, or were currently enrolled in, the approved training pathway. Patient selection was largely driven by the primary care contract specification: care home residents, patients with polypharmacy, patients on medicines commonly associated with medication errors, patients with severe frailty and/or patients using potentially addictive pain management medication. Only 26% (n=36) of respondents reported providing patients with information in advance. The majority of SMRs were undertaken remotely by telephone and were 21–30 min in length. Much variation was reported in approaches to conducting SMRs, with SMRs in care homes being deemed the most challenging due to additional complexities involved. Challenges included not having sufficient time to prepare adequately, address complex polypharmacy and complete follow-up work generated by SMRs, issues relating to organisational support, competing national priorities and lack of ‘buy-in’ from some patients and General Practitioners.

These results offer insights into the role being played by the clinical pharmacy workforce in a new country-wide initiative to improve the quality and safety of care for patients taking multiple medicines. Better patient preparation and trust, alongside continuing professional development, more support and oversight for clinical pharmacists conducting SMRs, could lead to more efficient medication reviews. However, a formal evaluation of the potential of SMRs to optimise safe medicines use for patients in England is now warranted.

Most older adults living in residential aged care facilities (RACFs) have at least one marker of potentially suboptimal prescribing. Pharmacists play a crucial role in medication management, with their effectiveness enhanced by using computerised decision support tools. The Pharmacists Review to Optimise Medicines in Residential Aged Care (PROMPT-RC) study aims to optimise medicine use by providing pharmacists in RACFs with an electronic medicine management app with integrated decision support (AusTAPER App/Pathway) to use as part of medication reviews they undertake.

The PROMPT-RC study is a parallel cluster randomised controlled trial design involving Australian RACFs. It will assess if pharmacists’ use of the AusTAPER App/Pathway for medication reviews improves medication regimens for RACF residents compared with usual care. Pharmacists in RACFs randomised to the intervention arm will be trained to use the AusTAPER App/Pathway, which flags potentially inappropriate medicines (PIMs) across a person’s entire medicine regimen. Pharmacists in RACFs randomised to the control arm will not have access to the AusTAPER App/Pathway—they will continue to provide usual care. The primary outcome is the difference in the number of regular medicines between treatment arms at 12 months. Secondary outcomes will measure the number of regular and pro re nata medicines, PIMs, medicine administration times, medicine regimen complexity, use of antipsychotics, antidepressants, and benzodiazepines, quality of life, mortality, instances of physical restraint, and the number of falls, hospitalisations and general practitioner/health professional visits. The cost-effectiveness of the AusTAPER App/Pathway compared with usual care will be calculated. Data collection will occur at baseline, 3, 6, 9 and 12 months postrandomisation and 3 and 6 months prebaseline. We aim to recruit 668 participants to adjust for an estimated 10% loss to follow-up, giving 334 participants in each arm. Data analysis will follow an intention-to-treat approach using a linear mixed model.

Ethical approval was obtained from The University of Western Australia Human Research Ethics Committee (Reference: 2024/ET000525; approved 14 August 2024). Reciprocal approval was also obtained in other states. This study is registered on the Australian New Zealand Clinical Trials Registry (https://anzctr.org.au). Trial findings will be disseminated through national and international peer-reviewed publications and conferences.

ACTRN12624001409561.