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To describe disability severity transitions in the ageing population in Switzerland using an overall functioning score to define four disability severity states (no, mild, moderate and severe) and death, and to investigate the association of multimorbidity and further predictors with these transitions.
Secondary analysis of the Swiss version of the Survey of Health, Ageing and Retirement in Europe (SHARE).
Switzerland.
Community-dwelling population aged 50+ with at least two interviews in SHARE (N=3505).
Not applicable.
Primary outcome measures are the disability severity as assessed by a previously developed overall functioning score, and death status as assessed by the SHARE end-of-life interview. Transition analysis between disability severity states and death was conducted using multistate Markov models. The association between predictor variables and transition intensities was quantified using the proportional hazards assumption. Two distinct operationalisations of multimorbidity (count, burden) were used and analysed according to two separate models (A, B).
The findings for both models were similar: Estimated HRs for transition intensities suggest that being multimorbid or having a higher disease burden score increases the risk of transitioning to higher disability severity states and death for most transitions (HRs between 0.90 and 2.34 for model A compared with not being multimorbid; HRs between 0.95 and 1.46 for model B for a one-point increase in the disease burden score). In addition, most transitions to higher disability severity states and death are more likely for higher age (HRs between 1.00 and 1.14 for model A, and between 1.00 and 1.15 for model B for a 1 year increase in age), and transitions to death are less likely for women, compared with men (HRs between 0.34 and 0.88 for model A, and between 0.38 and 0.71 for model B).
This study is a first attempt to understand disability severity transitions in the older population in Switzerland. Although we believe that such an approach is suitable to inform resource allocation to LTC, rehabilitation and prevention, more detailed information on contextual factors will be important to consider for future research. Moreover, our study contributes to the discussion on how to operationalise multimorbidity in healthy ageing research.
To explore challenges parents of children with cancer encounter while providing complex medical care at home.
Design: Cross-sectional convergent mixed-methods study. Instruments: Questionnaire and open interviews that mirrored and complemented each other.
Parents (n = 32), with no prior medical training, were expected to remain constantly vigilant as they monitored and managed rapidly changing situations. Regardless of time from diagnosis, they detected a mean of 3.3 ± 1.4 (0–6) symptoms, reported administering up to 22 daily medications, including cytotoxics, narcotics and injections, and dealt with many related challenges. Parents described needing responsive communication channels, especially when dealing with bleeding and infection emergency situations during off-hours.
Findings highlight the constantly shifting demands when managing a child with cancer at home. Educational programmes that address parental needs throughout treatment, tailored to protocol changes and individual circumstances, should be expanded and further developed.
Parents need continual education regarding home management throughout their children's illness and treatment.
This study addresses challenges parents of children with cancer encounter while providing complex medical care at home. The findings demonstrated that parents, responsible for administering numerous medications via various routes and managing symptoms and side effects, did not feel confident performing these tasks regardless of time from diagnosis. Nurses should adapt ongoing parental education regarding complex medical tasks, symptoms, side effects, emergency detection and management for children with cancer at home. The study adhered to the Mixed Methods Appraisal Tool (MMAT) and STROBE reporting method.
Parents of children with cancer participated in the design and questionnaire validation.
This study aimed to explore perceptions of the Paediatric Improvement Collaborative’s (PIC’s) Clinical Practice Guidelines (CPGs) among clinicians, with a focus on awareness, frequency of use, applicability and areas for improvement.
Cross-sectional online survey and semi-structured interviews.
Clinicians working in all Australian states and territories. Recruitment was via non-probability convenience sampling. Invitations to participate in the online survey were posted on national- and state-level paediatric organisations, networks and groups. Survey participants could express interest in taking part in a follow-up online interview.
A total of 466 clinicians, including consultants/specialists (46.1%), specialists in training (residents/registrars: 20.4%), nurses (17.8%), allied health professionals (4.7%) and general practitioners (3.6%) participated in the survey. Findings indicated a high level of usage, with two-thirds of participants (63.9%) using the guidelines weekly. Most participants (91.8%) deemed the CPGs highly applicable to their practice settings, and over half (57.9%) had referred to more than 10 different PIC CPGs in the past month. Patterns of use reflected experience, seniority and scope of practice, with utilisation significantly higher among specialists in training, those working in emergency settings and those with less practising experience. Ten clinicians were interviewed to gain deeper insights, reinforcing that PIC CPGs serve multiple purposes, such as to check practice and for self-learning, for teaching more junior staff, and to reinforce treatment decisions with parents and patients. The guidelines were noted as being useful for all members of the multidisciplinary team in providing consistent language and uniform care. Key areas for improvement included enhancing accessibility in time-pressured environments, such as incorporating human factors-based navigation features and standardised layouts, and integrating additional tools and localised referral information.
PIC CPGs are viewed as a source of credible, evidence-based information that was valued across medical, nursing and allied health professionals.
To assess the impact of in-hospital late ventricular fibrillation (VF) (>48 hours) on the 1-year mortality risk among patients presenting with acute myocardial infarction (AMI) who survived the index hospitalisation.
Retrospective cohort study estimating the incidence rates of late VF following AMI and the associated 1-year risk of all-cause mortality.
Cardiac intensive care units (CICUs) in Israel between the years 2000 and 2018.
Patients presenting with AMI (ST-segment elevation MI (STEMI) and non-ST-segment elevation MI (NSTEMI)) who were admitted to CICUs.
A total of 14 280 consecutive AMI patients of whom 118 developed late VF and 68 of these survived the index hospitalisation. Patients with late VF had higher mortality rates within 1 year following AMI overall (54.8% vs 10.2%, p
Late VF was found to be associated with increased 1-year mortality risk among patients presenting with AMI. However, this association was only significant among STEMI patients, but not NSTEMI patients.
by Omar Fitian Rashid, Saba A. Tuama, Humam Al-Shahwani
In modern digital communication, Confidentiality of text transmission is remains a concern in the current online communication as cyber threats and intrusion. To address these challenges, this paper proposes a dual-layered security system that integrates cryptography and multi-image steganography to strengthen text protection during transmission. The cryptography layer is done based eight steps; in the first one, the message is converted to ASCII format, then convert the ASCII values into their equivalent binary numbers and make a complement to the binary values where each 0’s becomes 1’s and vice versa. In the next step, it needs to enter a key that includes a combination of characters, numbers, and special characters. This key is also converted to binary, and then the XOR operation is made between the message of the binary values and the key. In the fifth step, switching the values of each two adjacent binary values are together and converted to decimal values. While the second layer embeds the ciphertext in several cover images using a randomized codebook along with the Least Significant Bit (LSB) substitution, thus enhancing undetectability. Experimental evaluation demonstrates fast execution times for both the encryption/decryption processes and the multi-image hiding/extraction procedures. The achieved results validate that the proposed system provides an efficient and highly secure framework for protecting sensitive information.
by Maria Sabastin Sagayam, Priya Gupta, Ram Ramesh, Angan Sengupta
BackgroundThe Indian healthcare system continues to remain unstructured leading to sub-optimal health outcomes, not just in rural but even in urban areas. While physicians play a crucial role in shaping treatment trajectories and managing the referral process, their perspective on the referral system has received very limited academic attention in India. This study attempts to understand the archetypical physician’s referral mechanism and the factors influencing their referral practices. This study also highlights the challenges and possible solutions in operationalising an efficient referral process as suggested by the professionals.
MethodsIn-depth qualitative interviews were conducted with sixty-two physicians consisting of both general physicians and specialists from 19 different disciplines, associated with public and private hospitals in Bengaluru, India. The data, thus collected, was subjected to thematic analysis to generate relevant themes.
ResultsFive themes emerged from the thematic analysis from a phenomenological perspective based on the physicians’ lived experience. First of all, specialist physicians’ availability, accessibility, experience, and reputation strongly influenced referral recommendations. It was also observed that due to lack of a comprehensive healthcare provider database, personal connections and professional networks are utilised. Moreover, although physicians prioritize patients’ affordability and accessibility factors, referral counselling and caregiver-patient communication remained inadequate and required formalization. While the fourth theme clusters around several barriers related to communication, system inefficiencies, lack of awareness, accessibility and affordability among patients; the final theme suggests that the physicians emphasized on urgent need for clear guidelines, regulations and policies to streamline and monitor the referral system.
ConclusionThis research highlights that physicians recognize the systemic gaps leading to unsolicited health outcomes; yet they are helpless in most cases. The participants emphasized that robust information systems connecting all relevant stakeholders are essential. The exploration reveals that the system will not adopt a structured referral method without the government taking interest in it.
The growing complexity of global health issues underscores the need for a skilled workforce, achievable through competency-based training (competency-based curricula, CBC) that integrates knowledge and practice. Starting from 2022, medical and nursing CBC were harmonised across universities in Tanzania to ensure all graduates attain nationally defined core competencies. The reform aligned programme structure, learning outcomes and assessment methods to promote consistency and interprofessional collaboration. However, questions remain about whether harmonisation alone can ensure the development of practical clinical competencies among students. This study explored the experiences of medical and nursing faculty and students in implementing clinical training as a component of CBC in two health training institutions in Tanzania.
An exploratory qualitative case study was conducted with 67 participants, using 8 in-depth interviews with administrators and 8 focus group discussions with faculty and students. Data were analysed using Braun and Clarke’s thematic approach.
Two private, faith-based medical universities in the United Republic of Tanzania.
The study purposefully recruited a total of 67 participants. The participants included university administrators (including Deputy Vice Chancellors for Academics, quality assurance officers and deans), medical and nursing faculty and students (fourth-year medical and third-year nursing students).
Two main themes emerged: challenges in implementing clinical training and strategies used to enforce clinical training. Key challenges included curriculum design gaps, inadequate faculty and clinical instructors, a large number of students and a shortage of hospital staff. Strategies used were utilisation of clinical skills and simulation laboratories, involvement of non-academic clinical specialists’ staff, use of student-centred learning methodologies and leveraging regional, district and specialised private hospitals for clinical teaching.
Despite notable challenges in clinical training, the institutions in this study have implemented proactive strategies to support clinical training. Based on the findings, stakeholders should invest in increasing faculty and clinical instructors and expanding clinical placements to regional, district and private hospitals.
This study explores the potential of a generative artificial intelligence tool (ChatGPT) as clinical support for nurses. Specifically, we aim to assess whether ChatGPT can demonstrate clinical decision-making equivalent to that of expert nurses and novice nursing students. This will be evaluated by comparing ChatGPT responses to clinical scenarios to those of nurses on different levels of experience.
This is a cross-sectional study.
Emergency room registered nurses (i.e. experts; n = 30) and nursing students (i.e. novices; n = 38) were recruited during March–April 2023. Clinical decision-making was measured using three validated clinical scenarios involving an initial assessment and reevaluation. Clinical decision-making aspects assessed were the accuracy of initial assessments, the appropriateness of recommended tests and resource use and the capacity to reevaluate decisions. Performance was also compared by timing response generations and word counts. Expert nurses and novice students completed online questionnaires (via Qualtrics), while ChatGPT responses were obtained from OpenAI.
Concerning aspects of clinical decision-making and compared to novices and experts: (1) ChatGPT exhibited indecisiveness in initial assessments; (2) ChatGPT tended to suggest unnecessary diagnostic tests; (3) When new information required re-evaluation, ChatGPT responses demonstrated inaccurate understanding and inappropriate modifications. In terms of performance, the mean number of words utilized in ChatGPT answers was 27–41 times greater than that utilized by both experts and novices; and responses were provided approximately 4 times faster than those of novices and twice faster than expert nurses. ChatGPT responses maintained logical structure and clarity.
A generative AI tool demonstrated indecisiveness and a tendency towards over-triage compared to human clinicians.
The study shows that it is important to approach the implementation of ChatGPT as a nurse's digital assistant with caution. More study is needed to optimize the model's training and algorithms to provide accurate healthcare support that aids clinical decision-making.
This study adhered to relevant EQUATOR guidelines for reporting observational studies.
Patients were not directly involved in the conduct of this study.
Family caregivers of patients undergoing haemodialysis experience significant psychological, social and physical challenges that contribute to caregiver burden and reduced resilience. Strengths-based empowerment programmes, combined with the teach-back method, may help reduce burden and enhance resilience. This protocol describes a randomised controlled trial designed to evaluate the effect of such an intervention among family caregivers of haemodialysis patients.
This parallel-group randomised controlled trial will enrol 78 family caregivers of haemodialysis patients in Bojnurd, Iran, using a convenience sampling method. Participants will be randomised into intervention and control groups through block randomisation with a block size of four. The 10-week intervention will include 60 Short Message Service messages, five fortnightly teach-back phone calls and four structured inperson reinforcement sessions. The control group will receive the standard educational support provided by the dialysis unit. Outcomes will be measured at baseline, immediately post intervention and at the end of 8 weeks follow-up using the Caregiver Burden Questionnaire for Hemodialysis Caregivers and the Connor-Davidson Resilience Scale. A blinded statistician will perform repeated measures Analysis of Variance (ANOVA) for the analysis.
The participants will be assured that their data will remain confidential. Written informed consent will be obtained from the participants. The research proposal has been prospectively registered in the Iranian Clinical Trial Registration Centre (IRCT20250109064329N1; Date of full registration: 18 February 2025) and approved by the Ethics Committee of North Khorasan University of Medical Sciences (code: IR.NKUMS.REC.1403.128). All methods will be carried out in accordance with relevant guidelines and regulations. Findings will be disseminated to participants via a lay summary, to healthcare providers, policymakers and stakeholders through reports and presentations and submitted for publication in peer-reviewed journals. Deidentified participant data will be available from the corresponding author on reasonable request, in accordance with institutional policies and ethical approval.
IRCT20250109064329N1.
This study aimed to estimate the prevalence of depression and anxiety and associated risk factors among non-communicable diseases (NCD) clinic attendees in rural Rwanda.
Cross-sectional.
44 health centres in three rural districts in Rwanda.
Adults aged 18 years and older with a clinical diagnosis of diabetes, hypertension and/or asthma, who were attending a follow-up appointment during the study period (n=595).
Primary outcome measures were depression (measured by Patient Health Questionnaire-9) and anxiety (measured by Generalised Anxiety Disorder-7). Explanatory measures included sociodemographic and behavioural risk factors associated with depression and anxiety.
Of 595 participants, 265 (44.5%) had depression (95% CI: 40.5% to 48.6%) and 202 (33.9%) had anxiety (95% CI: 30.1% to 37.9%). Comorbidity of depression and anxiety was found in 137 participants (23%). Participants with no formal education had significantly higher odds of reporting depression and anxiety compared with those with primary and secondary/higher education (adjusted OR (aOR)=2.08; 95% CI=1.27 to 3.33, p=0.004, aOR=5.00; 95% CI=1.12 to 25.00, p=0.035, respectively). In addition, participants who were unemployed were more likely to report depression and anxiety (aOR=3.03; 95% CI=1.62 to 5.67, p
The overall prevalence of depression and anxiety was found to be significantly high among the study participants. The risk factors that were associated with depression and anxiety included level of education, district of residence, employment status and past trauma exposure. The findings emphasise the need for integrating mental health screening into NCD care, district-specific interventions, employment support services and trauma-focused care.
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