The ‘time-limited trial’ for patients with critical illness is a collaborative plan made by clinicians, patients and families to use life-sustaining therapies for a defined duration. After this period, the patient’s response to therapy informs decisions about continuing recovery-focused care or transitioning to comfort-focused care. The promise of time-limited trials to help navigate the uncertain limits and benefits of life-sustaining therapies has been extensively discussed in the palliative and critical care literature, leading to their dissemination into clinical practice. However, we have little evidence to guide clinicians in how to conduct time-limited trials, leading to substantial variation in how and why they are currently used. The overall purpose of this study is to characterise the features of an optimal time-limited trial through a rich understanding of how they are currently shaping critical care delivery.

We are conducting an observational, multicentre, focused ethnography of time-limited trials in patients with acute respiratory failure receiving invasive mechanical ventilation in six intensive care units (ICUs) within five hospitals across the US. Study participants include patients, their surrogate decision makers and ICU clinicians. We are pursuing two complementary analyses of this rich data set using the open-ended, inductive approach of constructivist grounded theory and, in parallel, the structured, deductive methods of systems engineering. This cross-disciplinary, tailored approach intentionally preserves the tension between time-limited trials’ conceptual formulation and their heterogeneous, real-world use.

This study has been reviewed and approved by the University of Wisconsin Institutional Review Board (IRB) as the single IRB (ID: 2022-1681; initial approval date 23 January 2023). Our findings will be disseminated through peer-reviewed publication, conference presentations, and summaries for the public.

NCT06042621.

Despite substantial research investments aiming to prevent cancer and develop therapeutic interventions, cancer remains a formidable challenge. In view of the persistent rise in cancer prevalence, the condition should also be recognised as a chronic disease. Such an approach can enhance the quality of life of patients with cancer, inhibit treatment-related adverse events and prevent recurrence via comprehensive post-treatment management. The core objective of this study is to investigate the association between dietary factors and treatment-related adverse events in patients with cancer, with the aim of providing individualised dietary recommendations to reduce adverse events and enhance quality of life.

The study cohort will include 600 participants aged ≥20 years. The participants will be assessed for dietary intake, cancer therapy-related adverse events and single-nucleotide polymorphisms using genomic DNA extracted from saliva. In addition, general and clinical information, lifestyle patterns and general/biochemical data of the blood will also be collected. The primary outcome is dietary factors that mitigate chemotherapeutic adverse events, and the secondary outcome is the association between nutritional status and survival in Korean patients with cancer. Considering the potential impact of dietary habits on the adverse events of cancer treatment, the findings of this study can be used as a basis for the establishment of new dietary guidelines for patients with cancer.

The Institutional Review Board of Severance Hospital, Yonsei University Health System, Seoul, Korea, approved the study protocol (4-2021-1110). Further, all participants provided a written informed consent prior to the study. The findings will be shared via publications.

Body image dissatisfaction (BID) is relatively common in Chinese female undergraduates. This study aims to explore the reasons for BID among female undergraduates to develop effective early intervention strategies.

A qualitative research approach was used through semi-structured interviews, allowing for an in-depth understanding of the experiences of participants.

The study was conducted from April 2024 to November 2024 at Yibin University in Sichuan province, China.

The study involved 25 female undergraduates with an average age of 19.8±1.3 years. These participants were selected to provide rich qualitative data about their experiences and views regarding BID.

The participants showed a high level of BID, and the thematic analysis revealed five overarching themes regarding the causes of BID among female undergraduates: (1) individual factors; (2) media factors; (3) family factors; (4) peer factors; and (5) overall societal impact.

The thematic analysis revealed that dissatisfaction with body image among female undergraduates is a multidimensional issue influenced by various factors, including individual and sociocultural elements. The conclusion emphasises the necessity of strengthening comprehensive intervention measures to address these influencing factors.

To integrate the quantitative and qualitative data collected as part of the PEACH (Procalcitonin: Evaluation of Antibiotic use in COVID-19 Hospitalised patients) study, which evaluated whether procalcitonin (PCT) testing should be used to guide antibiotic prescribing and safely reduce antibiotic use among patients admitted to acute UK National Health Service (NHS) hospitals.

Triangulation to integrate quantitative and qualitative data.

Four data sources in 148 NHS hospitals in England and Wales including data from 6089 patients.

A triangulation protocol was used to integrate three quantitative data sources (survey, organisation-level data and patient-level data: data sources 1, 2 and 3) and one qualitative data source (clinician interviews: data source 4) collected as part of the PEACH study. Analysis of data sources initially took place independently, and then, key findings for each data source were added to a matrix. A series of interactive discussion meetings took place with quantitative, qualitative and clinical researchers, together with patient and public involvement (PPI) representatives, to group the key findings and produce seven statements relating to the study objectives. Each statement and the key findings related to that statement were considered alongside an assessment of whether there was agreement, partial agreement, dissonance or silence across all four data sources (convergence coding). The matrix was then interpreted to produce a narrative for each statement.

To explore whether PCT testing safely reduced antibiotic use during the first wave of the COVID-19 pandemic.

Seven statements were produced relating to the PEACH study objective. There was agreement across all four data sources for our first key statement, ‘During the first wave of the pandemic (01/02/2020-30/06/2020), PCT testing reduced antibiotic prescribing’. The second statement was related to this key statement, ‘During the first wave of the pandemic (01/02/2020-30/06/2020), PCT testing safely reduced antibiotic prescribing’. Partial agreement was found between data sources 3 (quantitative patient-level data) and 4 (qualitative clinician interviews). There were no data regarding safety from data sources 1 or 2 (quantitative survey and organisational-level data) to contribute to this statement. For statements three and four, ‘PCT was not used as a central factor influencing antibiotic prescribing’, and ‘PCT testing reduced antibiotic prescribing in the emergency department (ED)/acute medical unit (AMU),’ there was agreement between data source 2 (organisational-level data) and data source 4 (interviews with clinicians). The remaining two data sources (survey and patient-level data) contributed no data on this statement. For statement five, ‘PCT testing reduced antibiotic prescribing in the intensive care unit (ICU)’, there was disagreement between data sources 2 and 3 (organisational-level data and patient-level data) and data source 4 (clinician interviews). Data source 1 (survey) did not provide data on this statement. We therefore assigned dissonance to this statement. For statement six, ‘There were many barriers to implementing PCT testing during the first wave of COVID-19’, there was partial agreement between data source 1 (survey) and data source 4 (clinician interviews) and no data provided by the two remaining data sources (organisational-level data and patient-level data). For statement seven, ‘Local PCT guidelines/protocols were perceived to be valuable’, only data source 4 (clinician interviews) provided data. The clinicians expressed that guidelines were valuable, but as there was no data from the other three data sources, we assigned silence to this statement.

There was agreement between all four data sources on our key finding ‘during the first wave of the pandemic (01/02/2020-30/06/2020), PCT testing reduced antibiotic prescribing’. Data, methodological and investigator triangulation, and a transparent triangulation protocol give validity to this finding.

ISRCTN66682918.