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Genomics-driven cancer therapeutics has gained prominence in personalized cancer treatment. However, its utility in indications lacking biomarker-driven treatment strategies remains limited. Here we present a “phenotype-driven precision-oncology” approach, based on the notion that biological response to perturbations, chemical or genetic, in ex vivo patient-individualized models can serve as predictive biomarkers for therapeutic response in the clinic. We generated a library of “screenable” patient-derived primary cultures (PDCs) for head and neck squamous cell carcinomas that reproducibly predicted treatment response in matched patient-derived-xenograft models. Importantly, PDCs could guide clinical practice and predict tumour progression in two n  = 1 co-clinical trials. Comprehensive “-omics” interrogation of PDCs derived from one of these models revealed YAP1 as a putative biomarker for treatment response and survival in ~24% of oral squamous cell carcinoma. We envision that scaling of the proposed PDC approach could uncover biomarkers for therapeutic stratification and guide real-time therapeutic decisions in the future. Treatment response in patient-derived models may serve as a biomarker for response in the clinic. Here, the authors use paired patient-derived mouse xenografts and patient-derived primary culture models from head and neck squamous cell carcinomas, including metastasis, as models for high-throughput screening of anti-cancer drugs.

The long-term stress, anxiety and job burnout experienced by healthcare workers (HCWs) are important to consider as the novel coronavirus disease (COVID-19) pandemic stresses healthcare systems globally. The primary objective was to examine the changes in the proportion of HCWs reporting stress, anxiety, and job burnout over six months during the peak of the pandemic in Singapore. The secondary objective was to examine the extent that objective job characteristics, HCW-perceived job factors, and HCW personal resources were associated with stress, anxiety, and job burnout. A sample of HCWs (doctors, nurses, allied health professionals, administrative and operations staff; N = 2744) was recruited via invitation to participate in an online survey from four tertiary hospitals. Data were gathered between March-August 2020, which included a 2-month lockdown period. HCWs completed monthly web-based self-reported assessments of stress (Perceived Stress Scale-4), anxiety (Generalized Anxiety Disorder-7), and job burnout (Physician Work Life Scale). The majority of the sample consisted of female HCWs (81%) and nurses (60%). Using random-intercept logistic regression models, elevated perceived stress, anxiety and job burnout were reported by 33%, 13%, and 24% of the overall sample at baseline respectively. The proportion of HCWs reporting stress and job burnout increased by approximately 1·0% and 1·2% respectively per month. Anxiety did not significantly increase. Working long hours was associated with higher odds, while teamwork and feeling appreciated at work were associated with lower odds, of stress, anxiety, and job burnout. Perceived stress and job burnout showed a mild increase over six months, even after exiting the lockdown. Teamwork and feeling appreciated at work were protective and are targets for developing organizational interventions to mitigate expected poor outcomes among frontline HCWs.

ObjectivesTo qualitatively interpret the information and supportive care needs perceived by cancer patients undergoing treatment in order to get a deeper appreciation of patients’ needs and concerns. The intended outcome is to provide baseline knowledge for improving patient-centred strategies to better meet the information and supportive needs of patients.DesignA qualitative research approach, based on conventional content analysis, was used throughout the research process. The three open-ended questions obtained from a previous quantitative study guided the researchers to explore the information and supportive care needs of patients. Data from patients’ responses were analysed and coded in themes.Participants and settingPatients attending the Ambulatory Treatment Unit of the National Cancer Centre Singapore were invited to participate in the study. We determined from these subjects the type of information that cancer patients need, and to measure the extent to which these information needs are met by measuring patients’ level of satisfaction. Included in the quantitative study were three open-ended questions designed to gain a deeper understanding of their needs and concerns. All subjects were aged 21 years and above and able to understand and communicate in English/Mandarin. They were also aware of their diagnosis, they were not cognitively impaired and were not at the end-of-life situation.ResultsA variety of information and supportive care needs were identified, and three specific areas of concerns were identified: (1) psychosocial and supportive care needs, (2) information needs and (3) information delivery by professionals.ConclusionThe information and supportive care needs expressed were consistent with issues of cancer patients undergoing treatment. The strategies to improve patients’ coping abilities through patient-centred care are discussed. Further studies assessing the barriers of information provision by healthcare professionals should provide more detailed knowledge about unmet information needs.

Background There is sustained interest in understanding the perspectives of liver transplant recipients and living donors, with several qualitative studies shedding light on this emotionally charged subject. However, these studies have relied primarily on traditional semi-structured interviews, which, while valuable, come with inherent limitations. Consequently, there remains a gap in our comprehension of the broader public discourse surrounding living liver donation. This study aims to bridge this gap by delving into public conversations related to living liver donation through a qualitative analysis of Twitter (now X) posts, offering a fresh perspective on this critical issue. Methods To compile a comprehensive dataset, we extracted original tweets containing the hashtags “#donateliver” OR “#liverdonor”, all posted in English from January 1, 2012, to December 31, 2022. We then selected tweets from individual users whose Twitter (X) accounts featured authentic human names, ensuring the credibility of our data. Employing Braun and Clarke’s reflexive thematic analysis approach, the study investigators read and analysed the included tweets, identifying two main themes and six subthemes. The Health Policy Triangle framework was applied to understand the roles of different stakeholders involved in the discourse and suggest areas for policy improvement. Results A total of 361 unique tweets from individual users were analysed. The major theme that emerged was the persistent shortage of liver donors, underscoring the desperation faced by individuals in need of life-saving liver transplants and the urgency of addressing the organ shortage problem. The second theme delved into the experiences of liver donors post-surgery, shedding light on a variety of aspects related to the transplantation process, including the visibility of surgical scars, and the significance of returning to physical activity and exercise post-surgery. Conclusion The multifaceted experiences of individuals involved in the transplantation process, both recipients and donors, should be further studied in our efforts to improve the critical shortage of liver donors.

The aim of this study was to investigate the prevalence of Internet usage among cancer patients in seeking health-related information and the type of information sought. Sources of information received from, preferences for information sources and the perceived usefulness of information from these sources were also examined in this study. A self-administered questionnaire was used to evaluate the information needs of patients undergoing cancer treatment. The questionnaire also evaluated the current source and preferred source of information as well as their online information seeking behaviours. A total of 411 patients with cancer were recruited from an ambulatory cancer centre. The patients' physicians and healthcare specialists comprised a large majority of the patients' information sources; they were also the most preferred source of information. 59.1% of the respondents used the Internet to search for cancer-related information, namely diagnosis and treatment options, side effects of treatment and complementary and alternative therapy; demonstrating the importance of the above information. Physicians (60.3%) and healthcare specialists (26.5%) were the largest and most preferred sources of information for cancer patients in our study. It was not uncommon for cancer patients to use the Internet to search for additional information demonstrating the need to integrate this tool more effectively for knowledge transfer for those patients who want it. It is important for healthcare professionals to help cancer patients by directing them to sources of quality information (including websites). In addition, the provision of guidelines on how to evaluate health information on the Internet would be helpful to cancer patients.

The goal of this study is to determine the type of information cancer patients need and to measure the extent to which these information needs are met by measuring patients' levels of satisfaction. A self-administered questionnaire developed through extensive literature reviews was pilot tested on 11 cancer patients using convenience sampling in a large ambulatory cancer centre in Singapore. All eligible patients attending the centre during a 5-month period were invited to complete the 76-item survey that had been designed to evaluate self-reported information needs and level of satisfaction with the information received while undergoing cancer treatment. The importance of information and the level of satisfaction with needs being met were assessed with the 5-point Likert scale. A total of 411 patients (50%) completed the survey. Almost all patients wanted information about the disease, tests and investigations, treatment, side-effects, sexuality, psychosocial support and financial matters, and most items listed in the questions in each selection were rated as important or very important. Responses indicate that patients were generally satisfied with the information provided especially on diagnosis and diagnostic tests, treatment and overall experience but there are information needs that need to be addressed more efficiently and effectively. The findings of this study support previous research which indicates that cancer patients who are receiving treatment have many information needs. Respondents were generally satisfied with the information provided, although some discrepancies were noted which reflect the complexities associated with cancer patient education.

Background Clinical documentation is vital for effective communication, legal accountability and the continuity of care in healthcare. Traditional documentation methods, such as manual transcription, are time-consuming, prone to errors and contribute to clinician burnout. AI-driven transcription systems utilizing automatic speech recognition (ASR) and natural language processing (NLP) aim to automate and enhance the accuracy and efficiency of clinical documentation. However, the performance of these systems varies significantly across clinical settings, necessitating a systematic review of the published studies. Methods A comprehensive search of MEDLINE, Embase, and the Cochrane Library identified studies evaluating AI transcription tools in clinical settings, covering all records up to February 16, 2025. Inclusion criteria encompassed studies involving clinicians using AI-based transcription software, reporting outcomes such as accuracy (e.g., Word Error Rate), time efficiency and user satisfaction. Data were extracted systematically, and study quality was assessed using the QUADAS-2 tool. Due to heterogeneity in study designs and outcomes, a narrative synthesis was performed, with key findings and commonalities reported. Results Twenty-nine studies met the inclusion criteria. Reported word error rates ranged widely, from 0.087 in controlled dictation settings to over 50% in conversational or multi-speaker scenarios. F1 scores spanned 0.416 to 0.856, reflecting variability in accuracy. Although some studies highlighted reductions in documentation time and improvements in note completeness, others noted increased editing burdens, inconsistent cost-effectiveness and persistent errors with specialized terminology or accented speech. Recent LLM-based approaches offered automated summarization features, yet often required human review to ensure clinical safety. Conclusions AI-based transcription systems show potential to improve clinical documentation but face challenges in accuracy, adaptability and workflow integration. Refinements in domain-specific training, real-time error correction and interoperability with electronic health records are critical for their effective adoption in clinical practice. Future research should also focus on next-generation “digital scribes” incorporating LLM-driven summarization and repurposing of text. Clinical trial number Not applicable.

BackgroundGrowing evidence attests to the efficacy of mindfulness-based interventions (MBIs), but their effectiveness for healthcare workers remains uncertain.AimsTo evaluate the evidence for MBIs in improving healthcare workers’ psychological well-being.MethodsA systematic literature search was conducted on Medline, Embase, Cumulative Index for Nursing and Allied Health Literature, PsycINFO and Cochrane Central Register of Controlled Trials up to 31 August 2022 using the keywords ‘healthcare worker’, ‘doctor’, ‘nurse’, ‘allied health’, ‘mindfulness’, ‘wellness’, ‘workshop’ and ‘program’. Randomised controlled trials with a defined MBI focusing on healthcare workers and quantitative outcome measures related to subjective or psychological well-being were eligible for inclusion. R V.4.0.3 was used for data analysis, with the standardised mean difference as the primary outcome, employing DerSimonian and Laird’s random effects model. Grading of Recommendations, Assessment, Development and Evaluation framework was used to evaluate the quality of evidence. Cochrane’s Risk of Bias 2 tool was used to assess the risk of bias in the included studies.ResultsA total of 27 studies with 2506 participants were included, mostly from the USA, involving various healthcare professions. MBIs such as stress reduction programmes, apps, meditation and training showed small to large effects on anxiety, burnout, stress, depression, psychological distress and job strain outcomes of the participants. Positive effects were also seen in self-compassion, empathy, mindfulness and well-being. However, long-term outcomes (1 month or longer postintervention) varied, and the effects were not consistently sustained.ConclusionsMBIs offer short-term benefits in reducing stress-related symptoms in healthcare workers. The review also highlights limitations such as intervention heterogeneity, reduced power in specific subgroup analyses and variable study quality.PROSPERO registration numberCRD42022353340.

Background Middle-aged adults, defined as individuals between the ages of 45 and 64, represent a significant yet under researched group of healthcare service users. This scoping review aimed to provide a comprehensive overview of the patterns of healthcare utilisation and the factors contributing to them within this demographic. Methods Following PRISMA-ScR guidelines and the framework proposed by Arksey and O’Malley, a systematic literature search was conducted across PubMed, EMBASE, and the Cochrane Library databases from their inception until July 2023. Key search terms such as “healthcare utilisation” and “middle-aged” were used to identify relevant studies. Articles were included if they were original cohort, case-control, or cross-sectional studies published in English. The findings were then synthesised narratively, by identifying recurring concepts and grouping them into broader themes. The themes were categorised according to the Andersen healthcare utilisation model’s three factors: predisposing factors, enabling factors, and need-related factors. Results After screening 4,810 records, a total of 25 articles were selected for final analysis, comprising 15 from developed countries and 10 from developing countries. Consistent factors influencing healthcare utilisation included multimorbidity, socioeconomic status, and poor health behaviours. Differences emerged across contexts: in developed countries, healthcare utilisation was influenced by lifestyle behaviours and access to private care, while in developing countries, socioeconomic inequalities and limited insurance coverage played more dominant roles. Healthcare system structures likely shaped utilisation patterns. Conclusion Healthcare utilisation among middle-aged adults is driven by an interplay of medical, social, and economic factors that vary across contexts. Common contributors, such as multimorbidity and poor health behaviours, highlight the need for targeted interventions and policies focusing on primary and preventive care to address the long-term burden of healthcare utilisation. This demographic faces unique challenges in managing healthcare decisions amidst varying systemic and individual-level challenges, which should be further studied.

This study aims to examine the information seeking behaviours and experiences of cancer survivors at various stages of the cancer survivorship trajectory in Singapore. Data was collected via a self-administered questionnaire from survivors diagnosed with the top 6 cancers in Singapore seen at the National Cancer Centre Singapore (NCCS). Cancer survivorship stages were categorized as newly diagnosed and on treatment (NT), completed treatment or cancer-free ≥ 5 years (CT) and had recurrence or second cancer (RS). Out of the 998 cancer survivors, 676 (68%) had searched for cancer information since their diagnosis. About 57% of the searchers did their most recent search in the past 6 months prior to the survey, with most of these survivors from the NT and RS groups. Around half of the searchers (55%) obtained cancer information from the internet. The most preferred source for cancer information was the internet (38%), followed by healthcare professionals (HCPs) (23%). About half (49%) obtained cancer information from their preferred source. Some information searchers (24%) did not do so, out of which about half used the internet to obtain information that they would have preferred to obtain from HCPs. The top 3 most commonly sought information was related to treatment, cancer and diet/nutrition. Half of the searchers were concerned with the quality of the information that they found. These information seeking behaviours and experiences were similar across cancer survivorship stages. Our study reveals that information seeking is prevalent across all survivorship stages. Patterns of information-seeking revealed a discrepancy between preferred and actual source.