Within the UK there are 33 deaths every day from prostate cancer, second only to lung cancer as the most common cause of cancer death in males in the UK. Of the 55 000 new cases each year, up to 50% of these patients will receive radiotherapy either alone or after prostatectomy. Although there have been significant improvements in the accuracy of radiotherapy delivery leading to better tumour targeting and a reduction in dose to normal tissues, significant permanent genito-urinary or gastrointestinal-related side effects are all too common. With nearly 80% of patients with prostate cancer surviving for 10 years or more, minimising life-limiting radiation damage to normal tissues is vitally important. However, at present, it is not possible to identify which patients will suffer a poorer outcome after radiotherapy. The aim of this study, improving radiotherapy in PROState cancer using EleCtronic population-based healthCAre data (PROSECCA), is to do this by using the existing information in a patient’s digital healthcare record. By linking primary, secondary and tertiary clinical data, including digital image information, with radiotherapy treatment plans and outcome data, the PROSECCA study will identify de novo predictive biomarkers of radiation response and provide clinicians with a tool to individualise a radiotherapy dose and plan to maximise cure and minimise toxicity.
The PROSECCA study is a large multidisciplinary project, the purpose of which is to analyse healthcare records from up to 15 000 patients with prostate cancer who underwent radiotherapy in the treatment of their cancer in Scotland between 2010 and 2022. Through the linkage of data obtained specifically for radiotherapy and data held within each patient’s unique electronic health record (EHR), the factors that indicate why some patients have a poor response to treatment, or an increased risk of side effects from radiation, will be identified. This will be made possible by the use of artificial intelligence and machine learning (AL/ML), which will help to identify at-risk patients earlier and allow adaptation of their treatment accordingly.
The study is being conducted in accordance with the ethical principles set out in the Declaration of Helsinki and Good Clinical Practice that respects and protects the rights, and maintains confidentiality, of all trial participants. The study protocol (V.1.0) was reviewed by the South Central Oxford A Research Ethics Committee (REC) on 13 December 2021 and received a favourable opinion subject to each National Health Service (NHS) organisation confirming permission for patients treated within their area. Approval for the use of unconsented healthcare record data for patients included in the study and treated at one of the five Scottish Cancer Centres required an application to the NHS Scotland Public Benefit and Privacy Panel for Health and Social Care (HSC-PBPP). Full approval from the HSC-PBPP panel was received on 1 July 2024, which covered the use of pseudoanonymised EHR data for all patients participating in the study. The study is publicly listed on the NHS Health Research Authority site, with IRAS ID 306245 and REC reference 21/SC/0402. Dissemination of the study findings will take place through field-leading cancer, radiation oncology and medical physics journals. All manuscripts will be approved by the main study team and authorship determined by mutual agreement.
We aimed to refine and culturally adapt an evidence-based communication intervention (EBCI), which consists of the 3R message framing model (Reframe, Reprioritise, Reform) and human papillomavirus self-sampling (HPVSS) for use in a teaching hospital in Ghana, and evaluated its acceptability, feasibility, appropriateness and adoption potential among stakeholders.
Convergent mixed-methods design.
The study was conducted at a teaching hospital and its surrounding communities in the Central Region of Ghana.
A 36-member stakeholder advisory board comprising women living with HIV (WLHIV) (n=14), healthcare providers (HCPs) (n=11) and community members (n=11) participated in Nominal Group Technique sessions to adapt the intervention. The adapted EBCI was subsequently evaluated by 45 participants (WLHIV=30 and HCPs=15).
Outcome measures included key characteristics of the EBCI, acceptability, feasibility, appropriateness and its potential for adoption, which were assessed using validated Likert-type scales and structured interview guides.
Core components of the intervention (HPVSS+3R) were retained. Hospitals and community pharmacies were the preferred self-sampling venues (97%). WhatsApp audio in English and Fante/Akan was the most favoured delivery mode for 3R messages (81%). Evaluation results revealed high acceptability (mean=22.84), feasibility (mean=22.40) and adoption (mean=21.73) on a 5–25 point scale, as well as appropriateness (mean=13.3) on a 3–15 point scale. Qualitative findings highlighted convenience, privacy, empowerment and cultural relevance, which reduced fear and increased participant engagement.
The adapted EBCI demonstrated high acceptability, feasibility, appropriateness and adoption potential among key stakeholders, supporting its integration into the Ghanaian health systems to advance cervical cancer elimination goals.
Commentary: Luque-Alcaraz OM, Aparico-Martinez P, Gomera A, Vaquero-Abellan. The environmental awareness of nurse as environmentally sustainable healthcare leaders: a mixed method analysis. BMC Nursing 2024;23:229.
Implications for practice and research Healthcare emissions contribute to climate change and threaten human health; therefore, nurses have a professional obligation to become environmentally informed, take action to reduce healthcare emissions and support green solutions. Future research must understand and modify workplace barriers to promote environmentally sustainable staff behaviour and facilitate the green transformation of healthcare systems.
Climate change is increasingly harming human health. Extreme weather events cause devastation, low crop yields and failure, contributing to food insecurity, economic hardship and resource shortages. Rising temperatures also increase the spread of infectious diseases and epidemics. Globally, countries are using healthcare services as an initial method of addressing these challenges.
To determine whether a biopsychosocial model of suicidality, specifically sleep, nutrition, physical exercise, mindfulness, social connectedness, lower socioeconomic status (SES) and sex are uniquely associated with increased suicidal ideation, longitudinally over adolescence.
Longitudinal, prospective cohort study.
A structured self-report questionnaire was collected as part of the Longitudinal Adolescent Brain Study at the University of the Sunshine Coast’s Thompson Institute (Queensland, Australia) from July 2018 to January 2024.
159 Australian adolescents (n=91 female; 68 male) aged 12 to 17 years.
Self-reported suicidal ideation was measured longitudinally. Data were also collected on self-reported lifestyle factors (sleep, nutrition, physical exercise, mindfulness and social connectedness), psychological distress, SES and sex. All measures were collected at 4-monthly intervals for each participant for up to 5 years (maximum of 15 time points).
Significant relationships were identified between increased suicidal ideation and poor sleep (OR 2.6, 95% CI 1.4 to 4.6, p=0.002), socioeconomic disadvantage (SES quintile 1: OR 6.3, 95% CI, 1.8 to 21.8, p=0.004; SES quintile 2: OR 8.7, 95% CI 1.4 to 56.2, p=0.022), psychological distress (OR 5.7, 95% CI 2.1 to 15.6, p≤0.001) and eating habits (β –0.08, 95% CI –0.2 to –0.0).
Poor sleep, socioeconomic disadvantage, psychological distress and eating habits were all found to be significantly associated with increased adolescent suicidal ideation over time. These biopsychosocial factors should be considered in targeted interventions and policies for reducing adolescent suicidality. Further research should employ multilevel modelling to examine factor interactions and rigorously evaluate interventions targeting lifestyle factors and socioeconomic inequalities through randomised controlled trials and quasi-experimental designs.
Tobacco use is the most significant modifiable risk factor for adverse health outcomes, and early research indicates there are also significant harms associated with vaping. National targets aim to reduce smoking and vaping during pregnancy for Aboriginal and Torres Strait Islander people. While most Aboriginal and Torres Strait Islander people want to quit, cessation is frequently attempted without support, increasing the chance of relapse. Group-based smoking cessation programmes increase quit success by 50%–130% in the general population; however, they have never been evaluated in Aboriginal and/or Torres Strait Islander communities.
The Gulibaa study is an Indigenous-led and community-embedded project that will co-design, implement and evaluate a group-based model of care to support Aboriginal and Torres Strait Islander women to be smoke- and vape-free. Staff of Health Services in New South Wales, Australia, will receive training to deliver a face-to-face group-based smoking and vaping cessation intervention. Aboriginal and/or Torres Strait Islander people who identify as a woman or non-binary, are pregnant or of reproductive age (16 to 49 years), currently smoke or vape at least once per day and are willing to attend the programme are eligible to participate. Up to 500 participants will be recruited. A mixed method evaluation approach will be implemented guided by the RE-AIM framework. Outcomes will include intervention reach, intervention effectiveness (determined primarily by self-reported 7-day point prevalence abstinence at 6 months follow-up), acceptability and feasibility of the intervention, programme fidelity and maintenance and cost effectiveness.
Embedding culturally safe support to quit during pregnancy can result in improved outcomes for both mother and child and immediately improve intergenerational health and well-being. Ethics approval has been provided by the Aboriginal Health and Medical Research Council and the University of Newcastle. Study findings will be disseminated to Aboriginal and Torres Strait Islander communities in ways that are meaningful to them, as well as through Aboriginal health services, key national bodies, relevant state and federal government departments.
ACTRN12625001050448.
To evaluate adherence to National Health Service (NHS) patient registration ID guidelines among General Practitioners’ (GP) practices.
A mystery shopper study, including website reviews and phone calls.
Rural and urban parts of the United Kingdom’s West Midlands.
85 randomly selected GP practices.
In January–April 2024, GP’s websites were reviewed before phone calls in which our ‘mystery shopper’ was asked to register without photo ID and proof of address.
Of 85 GP practices, 60 (71%) breached NHS guidance either online or over the phone, with only 25 (29%) consistently following NHS guidance. Phone calls to rural (vs urban) GP practices were more likely to yield refusal of registration without photo ID and proof of address, despite rural (vs urban) GP practices making similar statements online. During some phone calls, practices sought to negotiate a compromise by requesting less robust ‘documentation’, such as an addressed parcel.
GP practices commonly refuse registration to people without photo ID or proof of address, thus creating ‘sludge’ and undermining access to healthcare especially for poor, vulnerable patients, including immigrants. Changing GP practices’ websites would not address this problem if erroneous information is still provided over the phone. GPs and practice managers should ensure that all staff follow NHS guidance to allow registration without these documents.
To assess the impact of opening a large community-based asynchronous review ophthalmic clinic on attendance delays among patients with stable chronic eye disease attending a London teaching eye hospital network.
Interrupted time-series analysis of routine electronic health records of appointment attendances.
A large eye hospital network with facilities across London, UK, between June 2018 and April 2023.
We analysed 69 257 attendances from 39 357 patients, with glaucoma and medical retina accounting for 62% (n=42 982) and 38% (n=26 275) of visits, respectively. Patients over 65 made up 54% (n=37 824) of attendances, while 53% (n=37 014) were from the more deprived half of the population, and 51% (n=35 048) were males.
An asynchronous review clinic opened in a shopping centre in London, in autumn 2021, following the COVID-19 lockdown in spring 2020.
Average attendance delays (days), calculated as the difference between follow-up attendance date and the latest clinically appropriate date determined at the preceding attendance.
Pre-COVID-19, attendance delays for chronic eye disease monitoring were increasing by 0.9 days per week (95% CI, 0.8 to 0.9) on average, worsening to 2.0 days per week (95% CI, 2.0 to 2.0) after the first COVID-19 national lockdown, mid-March 2020. Opening the asynchronous review clinic increased appointment capacity, with delays decreasing on average by 8.1 days per week (95% CI, 8.1 to 8.2) shortly after opening. The rate of decrease slowed to 0.3 days per week (95% CI, 0.3 to 0.3) after 5 months. We found no significant differences in average attendance delays by age, gender or level of deprivation.
The asynchronous review clinic significantly reduced attendance delays across the hospital network, addressing pre-existing backlog for stable chronic eye diseases. The reduction appeared to be maintained after the initial backlog had been cleared.