To identify implementation strategies that effectively facilitate the adoption of social needs care coordination activities using enabling technologies among care management teams serving patients in community-based health centres.
Modified Delphi process.
Discrete, feasible implementation strategies were identified through literature review and semi-structured interviews with care management staff and subject matter experts in clinical informatics, workflow redesign, and product engineering. A modified Delphi was conducted with eight subject matter experts and nine health centre care management staff. Iterative rounds of online surveys were used to achieve consensus on the most relevant implementation strategies and their delivery methods.
The modified Delphi process achieved consensus on nine discrete implementation strategies needed to advance care management teams' ability to screen, refer and track social needs. Prioritised strategies included developing champions, enhancing quality improvement capacity, training staff on using enabling technologies and providing tailored technical assistance for workflow refinement. Consensus was also reached on a monthly cadence for most of the implementation strategies.
Consensus was reached on strategies to enhance care management teams' implementation of social needs screening, referrals and tracking using enabling technologies. These strategies will comprise an intervention to be pilot tested, refined and assessed in a cluster randomised clinical trial.
Findings from this study will inform the development of strategies to further the adoption of enabling technologies to support social needs care coordination.
This work is key to the design of a type 2 hybrid implementation-effectiveness trial that will assess whether user-informed, evidence-based implementation strategies can improve care management teams' adoption of enabling technologies to facilitate social needs care coordination for patients.
The research team includes a patient advisor with community-based nursing expertise and a nurse practitioner-clinical informaticist leader who was involved in data collection and interpretation of findings.
Trial registration: Clinicaltrials.gov registration # NCT06489002. Registered July 5, 2024, https://clinicaltrials.gov/study/NCT06489002?term=NCT06489002&rank=1.
To identify illegitimate tasks performed by registered nurses (RNs) in surgical care and explore why they perform them through the lens of gender theory and nursing history.
A qualitative study guided by gender theory, nursing history and the Fundamentals of Care framework.
RNs (n = 48) at three surgical wards attended a lecture on gender theory and a lecture on nursing history, each followed by focus group interviews (n = 12) with 6–8 participants. The analysis included two steps: (A) a content analysis of the interviews to identify illegitimate tasks and (B) a gender analysis using Connell's framework and nursing history.
The RNs describe their work situation in clinical practice as fragmented by illegitimate tasks. The results show how this can be explained as induced by gender theory and nursing history, with the main theme RNs support overall patient care and work climate at the cost of nursing care—a behaviour explained by gender theory and nursing history, presented in four categories: (1) performing administrative tasks and information processing outside the nursing profession, (2) maintaining a pleasant workplace, (3) being constantly available, facilitating and compensating for physicians and (4) backing up nursing assistants.
Contemporary RNs frequently utilise their resources to carry out a wide range of illegitimate tasks. The findings illustrate that RNs remain influenced by their history and still integrate traditionally female-associated tasks and behaviours into the workplace, often without conscious awareness. This knowledge can be used to understand why RNs perform illegitimate tasks without being asked to do so. Primarily, managers and also RNs must consider their complex situation from this perspective to implement systematic organisational changes that ensure patients receive the nursing care they need.
There is a global shortage of registered nurses (RNs). Patients suffer from missed nursing care. RNs describe their work as fragmented, with frequent interruptions and illegitimate tasks they feel expected to prioritise, even if not prompted by routines or requests. RNs are influenced by nursing history, integrating traditionally female-associated tasks and behaviours into the workplace, often subconsciously. When nurse managers and RNs become aware of these problems, it can pave the way for change, which can free up nursing resources and improve patient care. By becoming aware of what constitutes illegitimate tasks and understanding why nurses perform them, organisational changes can be made to fully utilise RNs' competencies. The findings point to a systemic issue that calls for strategic leadership from managers to drive substantive change.
Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is the gold standard for diagnosis and indicates PE severity through radiological markers of right heart strain. However, accurate interpretation and communication of these findings is often suboptimal in real-world practice. Artificial intelligence (AI) could alleviate pressure on radiology services by supporting PE identification, risk stratification and worklist prioritisation. Before widespread adoption, AI tools must be rigorously validated for diagnostic accuracy, safety and clinical impact.
This pragmatic single-centre, non-randomised quasi-experimental study will evaluate the diagnostic accuracy, feasibility, and clinical-cost impact of AI-assisted PE detection and risk stratification using AIDOC and IMBIO software. We will recruit two consecutive cohorts of adult patients undergoing CTPAs for suspected PE: a comparator cohort (12 months pre-AI implementation) and an intervention cohort (12 months post-AI implementation). AI will be applied retrospectively to the comparator cohort, while in the intervention cohort, radiologists will have contemporaneous access to the AI’s interpretation of CTPA images.
A subset of retrospective scans, both PE-positive and PE-negative, will undergo expert thoracic radiologist review to establish a reference standard. Data on patient demographics, clinical management and outcomes will be collected. Clinical management pathways and patient outcomes will be compared between cohorts to assess AI’s influence on acute PE management. Health economic modelling will assess the cost-effectiveness of integrating AI technology within the diagnostic workflow of acute PE.
This study was approved by the UK Healthcare Research authority (IRAS 311735, 10 May 2023). Ethical approval was granted by West of Scotland Research Ethics Service (23/WS/0067, 3 May 2023). Results will be shared with stakeholders, presented at national and international conferences, and published in open-access peer-reviewed journals.
At-risk mothers experience disproportionately higher rates of antenatal depression and anxiety, which can hinder mother–infant bonding and adversely affect infant socioemotional development. Despite growing evidence on postpartum mental health, antenatal risk factors among psychosocially vulnerable mothers remain underexplored, particularly in multi-ethnic Asian settings.
To identify factors associated with antenatal depression, anxiety, and maternal–fetal bonding among at-risk mothers.
This cross-sectional observational study was nested within an ongoing randomised controlled trial. Two hundred at-risk mothers, defined as single, of low socioeconomic status, referred for psychosocial support, at risk of depression, with adverse childhood experiences, or with a fetus with a congenital malformation, were recruited from outpatient obstetric clinics between February and September 2024. Participants completed online self-administered questionnaires assessing antenatal depression, anxiety, perceived stress, social support, parenting self-efficacy, and maternal–fetal bonding. General Linear Models were used to analyse data and identify factors associated with depression, anxiety, and bonding.
Higher perceived stress was associated with increased depression (β = 0.28, p < 0.001) and anxiety (β = 1.28, p < 0.001) and poorer bonding (β = 0.08, p = 0.02), while greater social support predicted lower anxiety (β = −0.31, p < 0.001). Higher parenting self-efficacy was linked to stronger bonding (β = −0.09, p = 0.06). Younger mothers (β = −2.68, p = 0.025) and Indian mothers (β = 7.46, p = 0.017) were particularly vulnerable to anxiety, whereas post-secondary education was protective against depression (β = −1.44, p = 0.02). Model fit ranged from 0.14 to 0.65.
Perceived stress, social support, and parenting self-efficacy significantly influenced antenatal mental health and bonding in at-risk mothers. These findings underscore the need for culturally sensitive, nurse/midwife-led interventions that integrate early screening, stress reduction, and empowerment strategies within routine antenatal care to strengthen maternal mental health and early bonding outcomes.
(1) Nurses and midwives play a critical role in screening for antenatal depression and anxiety in mothers with risk profiles highlighted in this study. (2) Culturally responsive nursing practice that demonstrates sensitivity towards sociocultural pressures is needed to provide individualised care. (3) Integration of digital and community-based antenatal education programs could provide more equitable access to care for at-risk mothers who may face barriers to in-person care.
(1) Despite having a higher susceptibility for antenatal mental health conditions, risk factors for antenatal depression, anxiety, and maternal–infant bonding have been underexplored in at-risk mothers. (2) Antenatal stress and anxiety are universally associated with depression across risk groups, while maternal self-efficacy and perceived social support serve as key protective factors. (3) The findings from this study suggest the need for early screening and nurse-led interventions that support maternal parenting self-efficacy and stress management to improve maternal mental health outcomes among at-risk mothers.
STROBE reporting checklist.
No patient or public contribution.
by Helena Tinnerholm Ljungberg, Martina Wallberg, Emmanuel Aboagye, Gunnar Bergström, Christina Björklund, Lydia Kwak, Susanna Toivanen, Irene Jensen
The prevalence of telework increased dramatically during the COVID-19 pandemic, and today it is not uncommon to refer to hybrid work as “the new normal” in work life. Leadership plays a pivotal role in hybrid work transitions, underscoring the need for research on post-pandemic managerial practices. This qualitative interview study with 15 professional service managers at a Swedish medical university, working in either central administration or a research department, provides a nuanced understanding of the experiences of implementing hybrid work in a higher education setting. The qualitative content analysis resulted in three main themes and six sub-themes: New ways of organising work (sub-themes: Hybrid work brings new opportunities and needs, and Hybrid work as an ongoing process of change); Changes for employees (sub-themes: Social interaction and sense of community, and Increased work-life balance); and Changes in leadership (sub-themes: Communication with employees and New expectations on managers). The findings of this study provide a more fine-grained understanding of how managers experienced both challenges and opportunities in implementing and managing hybrid working arrangements. Challenges included managing employee expectations and relations, while opportunities included potential improvements in work-life balance. A key conclusion of this study is that managers in hybrid work environments adjust their leadership, especially when communicating and managing relationships within teams and across the organization. Despite the identified challenges and despite managers’ wish to see their employees in person and on site, the interviewed managers are generally optimistic about hybrid work and see it as the future. To address the identified challenges, managers may benefit from networking and exchanging information with other managers in similar situations, as well as support from their organisation.To explore peer volunteers' experiences of delivering online support through SMART to at-risk mothers during the perinatal period, to inform future improvements to mobile-health-application (mHealth app) based peer-support interventions.
Descriptive qualitative research.
The study was conducted between February 2024 and June 2025 in a tertiary public healthcare institution in Singapore. Twenty peer volunteers were recruited via convenience and snowball sampling and participated in individual semi-structured interviews. Interviews were audio-recorded, transcribed verbatim and analysed using thematic analysis.
Four themes were identified: (a) Giving and receiving: the inner world of peer volunteers; (b) Navigating relational complexity in digital peer support; (c) Facilitating connection and continuity in digital peer support; and (d) Building better connections through supportive ecosystems.
Peers reported experiencing reciprocal benefits, such as a sense of fulfilment and achievement, while supporting mothers. Shared experiences and psychosocial vulnerabilities enhanced relatability, reassurance and rapport, which sustained supportive relationships. Challenges encountered by peers highlighted the need for strengthening both intervention design and peer training.
Regular check-ins by programme facilitators, alongside clear information, flexible guidelines and reassurance, can improve peer volunteers' motivation and resilience, thereby ensuring consistent and sustainable support for at-risk mothers.
Examined peer volunteers' experiences in providing online perinatal support to mothers with diverse psychosocial vulnerabilities. Peers offered emotional, informational and practical support, while mothers benefited from learning how peers had coped with their psychosocial vulnerabilities. Shared experiences fostered confidence and reassurance among mothers that they, too could overcome similar adversities. Valuable in providing both medically accurate perinatal information and meaningful social support to perinatal mothers.
The reporting of the study adheres to the standards outlined in the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist.
Mothers and peer volunteers contributed valuable insights and suggestions that helped in the design of the intervention.
Epilepsy prevalence varies widely across Nigeria, with rates ranging from 3.1 to 37.0/1000 population. There have been no studies on epilepsy prevalence and treatment gap in the Northeast Region of Nigeria. This study aimed to study epilepsy prevalence and the epilepsy treatment gap (ETG) in an urban and a rural community in Northeast Nigeria.
Cross-sectional, community-based survey.
Epilepsy screening of residents in two communities in Northeast Nigeria using a WHO screening tool and a validated study questionnaire from 1 March to 10 June 2022.
8599 community residents aged ≥2 years.
Prevalence of epilepsy, active epilepsy, ETG and associated factors.
We screened 8599 residents, of whom 88 had epilepsy. Crude epilepsy prevalence was 10.2 per 1000 and was three times higher in the rural than in the urban community (18.5 vs 6.4; 2=26.79, p2=0.087, p=0.768). Logistic regression analysis showed that the ETG was associated with a lack of counselling (OR 15.8, 95% CI 3.5 to 70.7, p
The prevalence of epilepsy in Bauchi State was within the range reported in Nigeria but three times higher in the rural than in the urban community. A high ETG was associated with poor counselling of people with epilepsy. Epilepsy counselling, health education and wider access to neurology services could reduce the burden of epilepsy in Northeast Nigeria.
Practice guidelines recommend addressing patient non-medical drivers of health such as access to nutritious food and transportation as part of whole-person care. Emergent electronic health record (EHR)-based tools can enable non-medical needs care coordination, but adoption commonly faces workflow and infrastructure barriers. Targeted implementation support strategies (eg, training, practice facilitation) can enhance technology adoption in healthcare settings, but no prior research has assessed if implementation strategies can improve how care managers use enabling technologies for non-medical needs care coordination. This study will test whether providing implementation support to primary care health centre care management teams improves the adoption of EHR-based enabling technologies to address patients’ non-medical needs.
This hybrid implementation-effectiveness type 2 pragmatic trial has a mixed methods design. The primary outcomes include: (1) Whether patients enrolled in care management programmes have been screened for unmet non-medical health-related needs and (2) Whether patients with identified unmet non-medical health-related needs received a referral to a community organisation to address their need. The secondary outcomes include: (1) Whether referrals for financial-related non-medical needs had a documented outcome in the EHR, such as successful connection to services, service unavailability or other disposition statuses, (2) Whether the referral outcomes indicated ‘successful connection to services’ and (3) Clinical markers including hypertension and diabetes control. Formative evaluation of barriers and facilitators to using EHR tools to conduct non-medical needs screening, referrals and tracking of receipt of services will include semi-structured interviews and a ‘guided tour’ of enabling technology used by care managers. A modified Delphi process will then inform the development of a set of implementation strategies for inclusion in the intervention. The intervention will be piloted in three health centres, refined, then tested in a stepped-wedge cluster-randomised trial in 20 health centres.
We obtained ethics approval for all study activities from Advarra Institutional Review Board (registration number #00000971). Results will be disseminated to Health Centres and Health Centre network nationally at meetings and we will disseminate to researchers via manuscripts in peer-reviewed journals and scientific meetings.
To examine the perinatal experiences of at-risk mothers and their engagement with mobile-health-based care.
A qualitative descriptive study.
One-to-one semi-structured interviews were conducted with 30 at-risk mothers, defined as those who were single, had low income, were at risk of depression, had adverse childhood experiences, gave birth to a baby with congenital disorders, or had a history of mental health conditions. Participants were purposively sampled at 6 months postpartum from a tertiary public hospital in Singapore between February and September 2024. Interviews continued until data saturation was achieved, were audio-recorded, transcribed verbatim and analysed using thematic analysis.
The study identified four overarching themes: (a) Me and my baby versus the world, (b) navigating vulnerability and strength in motherhood, (c) generational tensions in modern parenting and (d) reimagining perinatal care for every mother. Across the perinatal period, both intervention and control group mothers reported social isolation, emotional and physical strain and challenges balancing traditional family expectations with modern parenting practices. While mothers in the intervention group described receiving holistic support through the SMART program, those in the control group relied on ad hoc sources of support, such as social media platforms.
At-risk mothers experienced significant challenges during the perinatal period, and those who used a mobile-health-based perinatal intervention felt supported through its peer support and multimedia educational resources.
Mobile-health-based interventions can be integral aspects of standard nursing care. Future researchers must ensure that support rendered to at-risk mothers is culturally compatible and specific to the psychosocial vulnerabilities they experience. Increased contact and funding are vital, whereas artificial intelligence, multiple shared access and health monitoring trackers can shape future perinatal interventions.
A mobile-health-based perinatal intervention can have an enormous positive impact on the psychological well-being of vulnerable mothers worldwide.
This study followed the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist.
This study did not include patient or public involvement in its design, conduct or reporting.
ClinicalTrials.gov (Registration ID: NCT06363019). Registered 4/12/23, first recruitment on 26/02/2024.
It is well-known that the implementation of evidence into clinical practice is complex and challenging. The integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework conceptualizes successful implementation of evidence into practice. As the implementation of the mentoring programme proved to be a challenge, it seemed valuable to retrospectively study the implementation process using a framework like the i-PARIHS.
The aim of this study was to evaluate implementation of a multifaceted mentoring programme for bedside nurses using the i-PARIHS framework, to identify factors that influenced the implementation.
A secondary analysis of qualitative data using the i-PARIHS framework as the theoretical lens.
A directed content analysis was performed, driven theoretically by the i-PARIHS framework. The analysis focused separately on (a) characteristics of the innovation and (b) successful and hindering factors in the implementation process.
The results showed that successful factors influencing implementation of the mentoring programme included supportive and actively involved formal leaders and supervisors at the unit level. A major hindering factor was lack of resources in the form of personnel, time and money. A lack of facilitators, particularly experienced facilitators, throughout the organization hindered implementation. The i-PARIHS framework offered a structured how-to guide to identify factors that influenced the implementation process.
Implementation of the mentoring programme was a challenge for the organization. Investment into implementation should continue, with a more structured facilitation process. A structured and prioritized management system, including supportive leadership at the unit level, should be established by the hospital board.
There is a need for experienced facilitators throughout the organization. This is crucial to achieve sustainability in the mentoring programme and ensure that the large investments of staff resources and money do not fizzle out.
Implementing a mentoring programme for nurses in a large university hospital proved to be a challenge. Therefore, it seemed valuable to retrospectively study the implementation process using a framework like the i-PARIHS.
A lack of facilitators, particularly experienced facilitators, throughout the organization hindered the implementation. The i-PARIHS framework offered a structured how-to guide to identify factors that influenced the implementation process.
Our findings are important for leaders on all levels in a hospital setting, including the hospital board, heads of departments and nurse managers.
Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups is used.
No patient or public contribution.
Intermittent physiological monitoring and early warning scores (EWS) are limited in their ability to detect deteriorating patients in a timely manner. Wearable physiological sensors allow continuous remote monitoring and may be more timely and accurate in the identification of those at risk, compared with manual collection. This study aims to determine if wearable physiological sensors can be used for the early detection of postoperative deterioration, while being acceptable to patients and healthcare staff.
This is a prospective observational cohort study that will recruit adults undergoing major surgery in Benin, India, Ghana, Guatemala, Mexico, Nigeria, Rwanda and the UK. Participants will wear wearable physiological chest and limb sensors before, during and after surgery for up to 10 days or until discharge. In this ‘shadow-mode’ study, continuous physiological observations collected using the devices will not be made available to clinical teams. No changes in participant care will result. Standard of care clinical data will be collected contemporaneously. Continuous sensor data will be used to design algorithms to predict deterioration and specific complications in this population. Usability and feasibility testing, through focus groups, interviews and questionnaires, will be undertaken with healthcare professionals and people undergoing surgery.
Our stakeholder panel are directly involved in all aspects of this study, which will be conducted in accordance with the principles of the International Conference on Harmonisation Tripartite Guideline for Good Clinical Practice (ICH GCP) in addition to the principles of the ethics committee(s)/Institutional Review Boards (IRBs) who have reviewed and approved this study. Artificial intelligence (AI) prediction models will be reported in accordance with the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis+Artificial Intelligence (TRIPOD+AI) and Developmental and Exploratory Clinical Investigations of DEcision support systems driven by Artificial Intelligence (DECIDE-AI) reporting guidelines frameworks.
To describe the prevalence of cardiovascular disease (CVD) at the time of diagnosis of adult-onset type 1 (T1D) and type 2 (T2D) diabetes, in a recent cohort and compare to a previous cohort from the same region. Further, to explore factors influencing the prevalence of pre-existing CVD, including age, sex, body mass index (BMI) and C-peptide; in the later cohort also heart failure, hyperlipidaemia, tobacco use and physical activity.
Two prospective cross-sectional cohort studies compared.
All primary health care centres and hospitals in Kalmar and Kronoberg counties in Southeastern Sweden.
Adults with newly diagnosed T1D or T2D (classified by combination of islet antibodies and C-peptide) in 1998–2001 and 2016–2017.
Prevalence of hypertension and CVD at diagnosis of diabetes, and associations with beta-cell function, in two cohorts collected 15 years apart. Further, to explore factors influencing the prevalence of hypertension and CVD, and level of C-peptide.
In patients with newly diagnosed T2D, mean age-at-onset had decreased (66±14.1 years vs 63±12.6, p≤0.001) and mean BMI had increased (29.0±5.4 vs 31.4±5.8 kg/m2, p≤0.001). Prevalence of pre-existing myocardial infarction had decreased in both T1D (18% vs 7%, p=0.03) and T2D (25% vs 11%, p≤0.001). Pre-existing hypertension had increased in both T1D (23% vs 40%, p=0.01) and T2D (44% vs 61%, p≤0.001). C-peptide level was lower and was associated with several cardiovascular conditions in newly diagnosed T2D in 2016–2017 (p=0.048 p≤0.001).
Patients with newly diagnosed T2D were younger, with higher BMI, compared with 15 years earlier, a challenge for diabetes care. Prevalence of pre-existing myocardial infarction had decreased notably, in line with, but still less than in the general population; while pre-existing hypertension had increased, in both diabetes types. C-peptide was associated with several cardiovascular conditions in newly diagnosed T2D in the recent cohort, which warrants further investigation.
Alcohol consumption that damages health remains highly prevalent in Sweden despite macrolevel intervention measures such as availability, restrictions and taxation. As understanding of behaviour change develops, there may be an opportunity to enhance individual level interventions by targeting personal dimensions of behaviour, such as underlying motives for drinking alcohol and readiness to change behaviour. This protocol describes a randomised controlled trial aimed at estimating the effectiveness of an intervention tailored to motives and readiness to change.
A three-arm, parallel groups, randomised controlled trial will be used to estimate the effects of a motives and readiness to change tailored intervention. We will use a Bayesian sequential design to decide when to stop recruitment, with target criteria for benefit, harm and futility. Recruitment will be completed via web adverts and social media. Inclusion criteria are being aged 18 or older, having access to a mobile phone and being classified as a risky drinker. Participants allocated to the two intervention groups will receive either a personalised digital intervention or an intervention with enhanced tailoring for motives and readiness to change. The personalised intervention consists of weekly screening, personalised feedback and tools for planning behaviour. The enhanced tailored version will follow the same logic but will contain materials tailored for individuals’ drinking motives and readiness to change. The control group will be redirected to two national websites with information about alcohol and health. Outcome measures are weekly alcohol consumption and monthly heavy drinking episodes, which will be contrasted with regression models and estimated using Bayesian inference.
Ethical approval was obtained from the Swedish Ethical Review Authority on 16 April 2024, (Dnr 2024-01630-01). The results of the study will be disseminated in academic journals and research conferences.
The trial was preregistered in the ISRCTN Registry on 12 June 2024 (ISRCTN87600318).