Conectar
To assess the relationship between the structural position of individuals within their village network and symptoms of depression and postpartum depression, among men and women.
Community-based, observational, cross-sectional study.
176 villages in the Copan region of Honduras.
Village residents, comprising 25 605 adults surveyed in a census-based study; using data collected between October 2015 and December 2019.
Symptoms of depression and postpartum depression, among men and women.
Across all participants, 34.99% reported depression symptoms (40.50% for women and 27.62% for men). Among recent parents with a new child in the last 6 months, 28.89% reported postpartum depression symptoms (31.29% for women and 24.31% for men). Women with higher social intransitivity (ie, a greater proportion of friend-pairs among their friends that were not themselves connected) had higher odds of depression symptoms (OR=1.27, 95% CI 1.14 to 1.41), an association not found for men nor in postpartum parents. Because this coefficient is estimated on a 0–1 scale, it corresponds to approximately 2.4% higher odds of depression per 10 percentage-point increase in social intransitivity. In a signed-network decomposition that also included adversarial ties, only the proportion of incomplete/no-tie friend-pairs was associated with depression in women (OR=1.03, 95% CI 1.01 to 1.04), corresponding to approximately 3% higher odds of depression per 10 percentage-point increase.
We report that structural social network position and connectedness beyond dyadic ties, including the friendships and adversarial ties of a person’s friends, are associated with depression. These findings highlight the importance of linking psychological health to broader social connections in the context of face-to-face relationships.
To identify subgroups with similar social determinants of health (SDOH) characteristics using latent class analysis (LCA) and examine their associations with physical and mental health, cognitive function and missed workdays at 3 and 6 months post-SARS-CoV-2 infection. We hypothesised that intersecting SDOH factors would differentially influence COVID-19-related health outcomes across subgroups.
Prospective cohort study from the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE), with longitudinal data collection and cross-sectional analyses at baseline, 3-month and 6-month follow-ups.
Multicentre registry across eight US academic medical centres (Chicago, Dallas, Houston, Los Angeles, New Haven, Philadelphia, San Francisco and Seattle).
Adults aged ≥18 years, fluent in English or Spanish, with self-reported acute COVID-19 symptoms and a confirmed positive SARS-CoV-2 test within 42 days before enrolment (9 December 2020 to 12 August 2022), and access to an internet-connected device. Exclusions included incarceration, inability to provide informed consent, lack of confirmed SARS-CoV-2 infection or no internet access. Of 3791 eligible participants with complete baseline data, 2897 (76.4%) completed the 3-month follow-up and 2666 (70.3%) completed the 6-month follow-up; most were aged 18–49 years (74–75%), female (66–67%), white (86.6–87.5%) and non-Hispanic (86.6–87.5%).
Prespecified primary outcomes were physical and mental health (Patient-Reported Outcomes Measurement Information System (PROMIS)-29 V.2.1 T-scores for depression, anxiety, fatigue, sleep disturbance, pain interference, physical function and social participation), cognitive function (PROMIS Cognitive Function Short Form 8 T-scores) and missed workdays due to illness (binary: >1 week vs ≤1 week, from a single-item survey). All measures were self-reported and collected at baseline, 3 months and 6 months; no changes from protocol.
LCA identified a 4-class model as optimal (lowest Bayesian Information Criterion (BIC) after evaluating 1–7 class models; significant demographic differences (2 p
In this US prospective cohort, SDOH-based subgroups showed persistent disparities in health outcomes post-SARS-CoV-2 infection. Findings highlight the urgent need for intersectional approaches to address systemic inequities in post-COVID-19 recovery.
Hepatitis, a disease characterised by inflammation of the liver, is a leading global health challenge that contributes to over 1.3 million deaths annually, with hepatitis B and C accounting for many of these fatalities. Intensive care unit (ICU) management of patients is particularly challenging due to the complex clinical care and resource demands. Despite advancements in ICU predictive analytics, limited research has specifically addressed hepatitis patients, creating a gap in optimising care for this population.
This study focuses on predicting ICU length of stay (LoS), hospital discharge outcomes and discharge location for ICU-admitted viral hepatitis patients using a comparative assessment of machine learning (ML) models. Leveraging data from the Medical Information Mart for Intensive Care-IV database, which includes around 94 500 ICU patient records, this study uses sociodemographic details, clinical characteristics and resource utilisation metrics to develop predictive models such as Random Forest, Logistic Regression, Gradient Boosting Machines and Generalised Additive Model with Negative Binomial Regression.
Among 3875 ICU-admitted hepatitis patients, Random Forest classification outperformed Logistic Regression in predicting discharge outcomes, achieving higher accuracy (0.87 vs 0.82) and greater discriminative ability (area under the receiver operating characteristic curve 0.95 vs 0.89). For ICU LoS prediction, Random Forest regression applied to log-transformed LoS demonstrated strong performance (R² up to 0.82), while the generalised additive model with negative binomial distribution explained approximately 76% of LoS variance. Prediction of discharge location yielded moderate performance across Gradient Boosting and multinomial logistic regression models (accuracy 0.55 and 0.56), reflecting challenges associated with multi-class imbalance. Variable importance analyses across ML models consistently identified medication counts, procedure counts, comorbidity burden, age, race and total LoS as the most influential predictors of discharge outcomes and discharge location.
This study demonstrates the value of ML models for predicting clinical outcomes for hepatitis patients, including ICU LOS and hospital discharge status. The results underscore the influence of factors like race and age, revealing disparities that must be addressed in predictive care strategies. While the models show promise, challenges such as variability in prolonged stays and limited multiclass prediction accuracy point to the need for ongoing refinement and research.
Crohn's disease (CD) is primarily characterised by chronic gastrointestinal inflammation; however, its systemic nature frequently leads to musculoskeletal complications. Among these, clinically significant foot pathologies can impair mobility and negatively impact patients' overall quality of life. Despite their relevance, the specific influence of podiatric manifestations on health-related quality of life in individuals with CD remains insufficiently explored, underscoring a critical gap in current disease management. The aim of this study was to assess the extent to which foot-related health issues affect the quality of life in people living with CD compared with a healthy population. This multicenter observational case–control study was conducted across five provinces in southern Spain—Málaga, Granada, Jaén, Sevilla, and Cádiz—between January 2024 and February 2025. The study included 110 participants, evenly divided between individuals diagnosed with CD (n = 55) and healthy controls (n = 55), matched for age, sex, and body mass index. All participants completed the validated Spanish version of the Foot Health Status Questionnaire (SFHSQ), which assesses four foot-specific domains and four general health domains. Due to the non-normal distribution of the data, non-parametric statistical methods were applied, with the Mann–Whitney U test used to evaluate differences between groups. Participants with CD exhibited significantly lower scores across all domains of the SFHSQ, with the exception of the Footwear domain, which showed no statistically significant difference (p = 0.406). Compared with healthy controls, individuals in the CD group reported greater impairments in foot pain, foot function, general foot health, and in broader health-related domains including general health, physical activity, and social capacity (p < 0.01 for all). CD significantly compromises foot-related QoL. These results highlight the need to include podiatric evaluations as part of comprehensive, multidisciplinary care approaches aimed at enhancing mobility, functional capacity, and general well-being in affected individuals.
To map factors influencing nurses' engagement in clinical mentorship in nursing education and explore their interactions using network analysis.
Observational cross-sectional study employing an online survey from July 2024 to May 2025.
A total of 261 clinical mentors from healthcare institutions in Catalonia, Spain, completed the survey. Key variables included engagement in clinical mentorship (implication, motivation, satisfaction, compromise), perceived obstacles, ward manager support, emotional intelligence, emotional wellbeing, working and employment conditions. Data were analysed using regularized partial correlation network analyses. Centrality indices were calculated to determine the most influential variables within the network structure.
Motivation, ward manager support, and emotional intelligence emerged as the most central, interconnected drivers of engagement. Motivation showed positive associations with commitment and implication in the mentoring role and a negative association with perceived obstacles. Ward manager support was linked to emotional wellbeing and peer support, reflecting the importance of psychosocial resources. Emotional intelligence appeared to support motivation, work control, and satisfaction with the mentoring role. In contrast, professional experience and employment conditions showed limited influence within the network.
This study provides a comprehensive understanding of how multiple factors interact to shape nurses' engagement in clinical mentorship. Motivation, ward manager support, and emotional intelligence represent key leverage points for strengthening mentorship practices.
Sustainable, high-quality clinical practicums require supportive work environments that recognize and foster mentors' intrinsic motivation, leadership support, and emotional skills.
Clinical mentors are essential to student learning, and so is their engagement in the mentoring role. This study is the first to apply network analysis to this process, revealing that motivation, emotional intelligence, and ward manager support are central to engagement, while professional experience and employment conditions are less relevant. These findings can guide institutional strategies to promote supportive and nurturing clinical learning environments.
The manuscript is based on the Checklist for Reporting Results of Internet E-Surveys (CHERRIES).
This study did not include patient or public involvement in its design, conduct, or reporting.
To explore the perceptions of nursing professionals in high-demand healthcare services regarding the adoption of AI-based support systems for the prevention of medication errors.
A qualitative descriptive study was conducted between November 2024 and March 2025.
Sixteen semi-structured interviews were held with nurses from emergency and intensive care units, guided by conceptual dimensions of the Technology Acceptance Model framework. Participants were recruited using purposive and snowball sampling. ATLAS.ti v.9 software was used for an inductive thematic analysis.
Two major themes emerged: (i) professional reflections on medication safety and related risks; and (ii) integrating artificial intelligence into nursing practice to reduce such risks and prevent medication errors. While artificial intelligence was recognised as a promising resource to support clinical decision-making and reduce cognitive load, nurses identified barriers, including limited training, inadequate technological infrastructure, unreliable data sources, and ethical concerns that could compromise its safe implementation and thereby hinder its potential to prevent medication errors.
AI-based support systems are perceived as useful, but complex resources for addressing medication errors, which remain a critical challenge in healthcare. Its successful implementation depends not only on the availability of resources, but also on the organisational context and the ability to respond to the needs and concerns of healthcare professionals.
Integrating artificial intelligence into routine workflows to support clinical decision-making and reduce medication errors in high-demand settings requires more than infrastructure and technical training. Effective adoption demands participatory design, clear role delineation, and context-sensitive training aligned with medication-management processes. Lack of alignment may result in artificial intelligence increasing complexity instead of contributing to safer and more efficient medication administration.
Methods and findings are reported following SRQR recommendations.
No patient or public contribution.
The primary barrier to maximizing the benefits of intermittently scanned continuous glucose monitoring (isCGM) is low scan frequency. Higher daily scan frequency correlates with better glycemic control.
To evaluate the effect of a nurse-led educational intervention on scan frequency and behavioral change in adults with type 1 diabetes (T1D) showing low scanning frequency.
In this 12-week quasi-experimental study, adults with T1D using isCGM and low scan frequency participated in a single, individualized, direct education session led by a diabetes nurse educator. The intervention focused on increasing daily scan frequency and supporting patient engagement in self-management.
Thirty-four patients using isCGM participated. Mean daily scan frequency increased from 3.1 to 6.1 scans/day following the intervention. This rise was associated with an 8.0% improvement in TIR. A positive correlation was observed between scan frequency and TIR, with each additional daily scan associated with a 0.51% increase in TIR.
A single, targeted educational session can significantly improve isCGM adherence and glycemic control in adults with T1D and low adherence, supporting its value as a practical strategy in routine clinical care.
The protocol was publicly registered at ClinicalTrials.gov (NCT05570162)
To assess the quality of the Spanish Triage System performed by nurses according to the triage code assigned to each patient and to examine factors associated with the need for re-evaluation after completion of triage.
Retrospective longitudinal observational study.
A retrospective analysis was conducted of patients triaged in the emergency department between 2018 and 2023. Patients triaged by other healthcare professionals and those who did not receive a triage priority level were excluded.
493,211 episodes were analysed. Most were low/intermediate acuity (Level IV 65.4%, Level III 23.9%; Level I 0.1%). Mean time-to-first physician record entry increased as acuity decreased (38 min Level I vs. 81 min Level V), yet recorded time-target compliance was lowest in Levels I–II (23.8% and 14.7%). Re-evaluation occurred more often in high-acuity levels and was independently associated with older age, male sex, lower oxygen saturation and longer emergency department length of stay; compared with Level I, Levels II–III and lower adjusted odds of re-evaluation.
Nurse-led triage demonstrated coherent clinical and operational stratification; however, the lowest recorded time-target compliance in the sickest patients suggests a gap between immediate care and electronic documentation.
Streamline documentation workflows for high-acuity cases and use re-evaluation risk profiles to prioritize monitoring and escalation.
Evidence on nurse-led Spanish Triage System performance and time-documentation quality is limited. Acuity and flow metrics showed expected gradients, but target-time compliance was lowest in Levels I–II; predictors of re-evaluation were also identified. Findings support emergency department nursing, quality improvement and potential benefits for patients attending emergency departments.
STROBE guidelines.
This study did not include patient or public involvement in its design, conduct or reporting.
The clinical practicum is a critical component of nursing education. In Spain, it is currently facing systemic challenges that compromise its quality and sustainability. A persistent nursing shortage, combined with increasing pressure on healthcare systems and a growing number of students intended to address this gap, is adding strain to clinical learning environments, which may compromise the capacity of nurses to provide adequate supervision and meaningful learning experiences for nursing students. This not only diminishes the quality of the training experiences, but also negatively affects the well-being of both students and nurses, further worsening the situation. This protocol outlines a study aimed at conducting an in-depth analysis of the current challenges affecting the clinical practicum and proposing a new model that effectively addresses them, with significant potential for adaptation and implementation across different health education fields and geographical locations.
The study will employ a sequential mixed-methods design comprising two integrated phases. In phase I, quantitative, qualitative and scoping review methodologies will be combined to identify current challenges and opportunities. Quantitative data will be obtained by administering questionnaires to nursing students and clinical mentors (CMs) tutoring them in Catalonia, examining potential barriers and facilitators to their mentoring role. Data will be analysed through descriptive and inferential statistics. Qualitative data will emerge from semistructured interviews with CMs and nurse coordinators, as well as from a visual elicitation technique, the ‘Emojional’ Calendar, conducted with students to understand their clinical practicum experiences. These will be analysed through an inductive thematic analysis approach. The scoping review, following the Arksey and O’Malley framework, will identify best practices in clinical practicums in nursing and other health studies globally. Phase II will involve a three-round qualitative Delphi study in which all preceding results will be presented to stakeholders and decision makers in order to redesign the clinical practicum model.
Ethical approval for this study was obtained from Hospital del Mar Clinical Research Ethics Committee (Ref #2023/11123). Results will be disseminated through peer-reviewed journals and conference presentations, as well as via strategic actions (forums and meetings with healthcare managers, deans and policymakers) and general outreach (talks, social media and websites) targeted at professionals, students and the public.
Increasing demand for haematological specialist care makes the optimisation of referrals and outpatient workflow a priority. Automated placing of standardised test orders prior to the first appointment may provide haematologists with necessary information to reach diagnoses and initiate treatment at the first patient encounter, reducing low-value follow-up appointments. We aimed to evaluate rates of patient participation in an initiative using artificial intelligence to place standardised test orders as well as reasons for non-participation, differences in the number of participants and non-participants discharged back to primary care with a diagnosis or appropriate treatment plan, and potentially avoidable referrals.
A retrospective, multicentric cohort study.
Four academic hospitals in Madrid, Spain.
18 190 patients referred for a first haematologist appointment for 11 included presenting complaints.
Referral notes from primary care were classified using natural language processing and automated placement of standardised test order sets was carried out prior to first appointment for participating patients.
We compared demographic differences between participants and non-participants, the main motives for not participating, and the number of patients discharged back to primary care at first appointment with a diagnosis and treatment plan. Most frequent International Classification of Diseases, tenth revision codes for each of the included presenting complaints were described.
During the study period, 18 190 (41%) patients were referred for a first haematologist appointment for presenting complaints included in the intervention (‘eligible patients’), of which 612 (3.3%) patients agreed to participate in the intervention. Participants were significantly younger than non-participants. Most common motives for not participating were administrative reasons (6268, 76.9%). Only 122 (1.5%) patients expressed explicit unwillingness to participate. A significant increase in the number of patients discharged upon first appointment was observed for participants (146 (23.9%) vs 3375 (19.36%); p=0.041), signifying a 22% relative reduction in avoidable follow-up. The diagnosis ‘haematological disorders ruled out’ was constantly observed as one of the ten most common diagnoses made by the haematology specialist for all but one of the included presenting complaints.
Natural language processing of referrals from primary to specialist haematology care with automated placing of standardised test orders can decrease low-value follow-up appointments. Explicit refusal to participate was low. Participants tended to be younger than non-participants, underlining the importance of designing strategies to target the older population in order to improve participation.
To investigate factors influencing the implementation of advanced practice nursing roles within healthcare organisations in seven European countries from the perspective of advanced practice nurses.
A cross-sectional survey was conducted between September 2021 and December 2022, involving advanced practice nurses from Belgium, Finland, Germany, Iceland, Ireland, Spain and the Netherlands. The countries were selected to represent different stages of implementing advanced practice nursing roles, from emerging to well-established.
A self-administered questionnaire was used to address five domains: patient care, practice patterns, policy and legal, educational and workforce-related factors. Descriptive statistics, chi-squared tests and correspondence analysis were employed to identify patterns and country-specific differences across these domains of implementation factors.
A total of 491 advanced practice nurses participated in the study. While almost three-quarters of the participants indicated satisfaction with their job, the study highlighted multifaceted factors influencing the implementation of advanced practice nursing roles across countries. The Netherlands, Ireland and Belgium reported mainly facilitators, whereas Finland, Iceland and Germany noted barriers or a lack of knowledge. Spain mostly reported neutral or moderate positions. Key challenges included role ambiguity, interprofessional collaboration gaps, limited managerial support, workload imbalances, limited mentorship and underutilised competencies. Results also indicated that advanced practice nurses are partially hindered by operating in isolation from other professions.
The findings emphasise the need for robust organisational support, interprofessional collaboration and clear role definitions to facilitate the integration of advanced practice nursing roles. Addressing professional isolation through networking and mentorship is crucial to sustaining the advanced practice nursing workforce.
Policy should prioritise support for advanced practice nursing, including structured mentoring and networking opportunities. Further research on advanced practice nurses' well-being and long-term role sustainability in Europe is recommended.
What problem did the study address? What were the main findings? Where and on whom will the research have an impact?
This study reported factors influencing advanced practice nurse role implementation across seven European countries with different levels of role development. Key challenges included role ambiguity, interprofessional collaboration gaps and limited support. The findings can guide healthcare managers and policymakers on the key factors to consider when integrating advanced practice nursing roles into their teams.
To explore nursing professionals' perceptions of the intersectional positioning of their profession within healthcare and society, examining how axes of oppression shape healthcare responses and resource management.
A qualitative study framed in critical theory paradigm employing constructivist grounded theory, as outlined by Charmaz.
The study was conducted in Catalonia, Spain, between 2022 and 2023. A total of 26 nursing professionals participated, representing a range of professional roles and settings. Theoretical sampling guided participant recruitment and was saturated after 17 in-depth interviews and 2 thematic focus groups. Interviews and focus groups were transcribed verbatim. Thematic analysis, informed by Charmaz's approach, was applied to identify key dimensions and themes. Intersectionality theory was used as a critical analysis framework.
A predominant theme emerged from data identified as ‘intersectional disempowerment of nursing profession’. Four categories shape this positioning: (1) symbolic and historical undervaluation of care, rooted in nursing's feminization and patriarchal norms; (2) patriarchal influence on professional leadership, manifested by men disproportionately occupy leadership roles, reinforcing vertical segregation; (3) intra-professional hierarchies and technocratic influence, forcing prestige disparities within nursing and promoting horizontal segregation; and (4) internalised barriers among nurses regarding professional prestige, authority and recognition which combined undermine nursing's visibility, legitimacy and influence within healthcare.
Nursing cannot be understood as a neutral profession. Its societal positioning is deeply shaped by structural inequities, gendered assumptions and entrenched hierarchies, which collectively undermine its potential for autonomy and recognition.
This study highlights the need to challenge intersectional hierarchies in nursing, promoting equitable recognition, policy reforms and leadership opportunities to enhance nurses' authority, visibility and professional empowerment within healthcare systems. Addressing these challenges requires systemic policy reforms and a critical re-evaluation of societal perceptions. What problem did the study address? Nursing's social image is strongly shaped by biomedical, technocratic and social views. The gap between nursing's public image and identity limits professional growth and recognition. Analysing how power relations intersect in nursing's social position is essential. What were the main findings? Nursing's role is shaped by the intersection of gender, prestige, socioeconomic status and social recognition. Nurses' empowerment must be tied to transforming unjust institutions and systemic structures. Where and on whom will the research have an impact? This study provides a critical analysis of the intersectional positioning of the nursing profession. The findings have implications at multiple levels: micro, by offering nurses a critical perspective on their professional positionality; meso, by providing healthcare managers with insights into the underlying factors contributing to nursing's undervaluation; and macro, by fostering reflection within the broader healthcare community on the power dynamics shaping interprofessional relationships.
This study did not include patient or public involvement in its design, conduct, or reporting.
The manuscript is based on the Consolidated Criteria for Reporting Qualitative Research (COREQ).
To explore how older women experiencing poverty in a high-income country perceive their family caregiver role from a gender perspective.
Descriptive qualitative study.
A convenience sample of seventeen older female caregivers experiencing poverty was interviewed in-depth between October 2023 and March 2024. Reflexive thematic analysis was conducted following the phases described by Braun & Clarke. ATLAS.ti software was used for data analysis.
Three main themes were developed from the data analysis: (1) The duality of family caregiving: between informal female support and structural neglect, (2) family care in later life as a continuation of a life devoted to others, (3) older female family caregiving as a gender issue.
Older female caregivers experiencing poverty have limited formal support and unequal access to resources. Older women experiencing poverty experience both gratitude and despair in their caregiving role, which inevitably deteriorates their health.
Nursing interventions for older female caregivers experiencing poverty should include an assessment of social determinants of health, focusing on gender and socio-economic barriers. Implementing system navigation interventions, such as community-based case management, resource referral programmes, and personalised care coordination, could connect older female family caregivers to essential resources and support networks, thus addressing their mental health needs and promoting equity, which would enhance their overall well-being and dignity.
Experiencing poverty increases the vulnerability of older female caregivers, exacerbating gender inequality. These women often face mental health issues as they face the pressure of meeting their own needs and those of their care recipients with a lack of formal support. This neglect can lead to serious health problems, which emphasises the need for equitable nursing interventions.
The study is reported following the COREQ guidelines.
No patients or public were involved in the study development and implementation.
To determine the application rate of the preventive measures, alternate air anti-decubitus mattress and postural changes in patients who develop hospital-acquired pressure injury (HAPI) on the basis of their preventive or reactive temporality.
This is an ambispective observational study that included adult patients without pressure injuries admitted to Mancha Centro Hospital (Spain) who developed at least one HAPI during hospitalisation (August 2022 to March 2023).
The main variables were the implementation of preventive measures and the time of their application. Other variables were comorbidities, sociodemographic and clinical variables, Braden and Barthel scale, variables related to the application of preventive measures and information to characterise HAPI.
180 patients who developed 276 HAPI during their admission were included; 73.9% of the patients received a risk assessment upon admission, and 53.9% were re-evaluated. At some point during admission, an anti-decubitus mattress was placed in 73.3% of the patients, and 76.1% received postural changes.
Among the patients at risk at the time of HAPI onset, 49.4% had received anti-decubitus mattress preventively, 23.9% had received it reactively, and 26.7% did not receive it. Among the patients without contraindication for postural changes, 51.4% received them before the lesions appeared, 33.6% received them after the lesions appeared, and 13.6% did not receive them.
We detected a significant association between the preventive application of anti-decubitus mattress and postural changes with the Braden reassessment; admission to the intensive care unit; mechanical ventilation, vasopressors, nasogastric tube; mental state confused; hospital isolation; low Barthel and Braden scores; impaired mobility; inability to perform postural changes; diaper; urinary/faecal incontinence; and sedatives.
Only approximately half of the patients received preventive measures. Although patients with a more unfavourable clinical profile were more likely to receive these measures, increased awareness and training among healthcare professionals are necessary to ensure broader and more consistent implementation of preventive strategies.
This study explores the real-world use of preventive measures in hospitalized patients who develop HAPI. In half of the patients, these measures were applied reactively, highlighting the need to introduce strategies that facilitate the implementation of evidence-based practices.
This study was reported following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies.
In the present study, data from patients have been obtained, but the patients or caregivers have not contributed to the development of the manuscript.
The aim is to explore co-design facilitators’ perspectives and experiences of using co-design to improve intrapartum care in four sub-Saharan African settings. The inquiry focuses particularly on how they fostered engagement, built trust and mitigated unintended consequences during the co-design process.
Qualitative interview study with reflexive thematic analysis.
Sixteen public and private not-for-profit hospital-based maternity units in Benin, Malawi, Tanzania and Uganda (four per country).
A total population sample of 10 co-design facilitators involved in a hospital-based co-design project implemented in maternity units in Benin, Malawi, Tanzania and Uganda were interviewed. Semistructured interviews were conducted between December 2022 and January 2023.
Co-design facilitators viewed co-design as a collaborative process to develop contextually relevant solutions. Our findings elucidate their role in facilitating consensus-building and fostering stakeholder ownership amidst significant power divides. They described approaches co-design facilitators take to maintain ongoing stakeholder engagement and manage misaligned expectations in a trusting and collaborative environment, while being mindful of existing tensions and power imbalances. They also highlighted key challenges faced, including navigating norms, power imbalances and unintended consequences.
This study underscores the importance of power-sharing, fostering ownership and engaging end users equitably and continuously in co-design efforts, while also being aware of how to address its potential unintended consequences. Further research is needed to understand co-design facilitators’ impact on co-design and how to address unintended consequences for stakeholders during and after co-design activities in intrapartum interventions in low-resource settings.
Total alloplastic replacement of the temporomandibular joint (TMJ) is a viable treatment option for severe TMJ disorders (TMDs) unresponsive to conservative approaches, as well as for reconstruction of congenital or acquired TMJ defects. However, clinical data on indications, outcomes, complications and long-term effects remain limited, and no global registry currently exists. This study aims to address this gap by establishing an international registry to collect data from patients undergoing total alloplastic TMJ replacement systematically. The registry will document clinical indications and disease progression, explore relationships between treatments, outcomes and quality of life, identify predictors of favourable outcomes and inform future research.
This international, prospective, multicentre, observational registry will enrol approximately 200 patients with TMD requiring total alloplastic TMJ replacement, with follow-up lasting up to 5 years postoperatively. The data collected will include underlying disease, treatment details, functional outcomes, patient-reported outcomes and procedure-related adverse events. The registry will also monitor patients who decline surgery and record their reasons. All treatments will adhere to the standard of care at each participating centre.
Ethics approval was obtained from the responsible ethics committee (EC) at each participating site prior to TMJ surgery. All patients will be enrolled following an informed consent process approved by the relevant EC. Study results will be disseminated through peer-reviewed publications.
Approving ECs include: Krishnadevaraya College of Dental Sciences and Hospital EC, KCDS/Ethical Comm/54/2022–23; Ethikkommission Nordwest- und Zentralschweiz, 2019–02387; University of Belgrade School of Dental Medicine EC, 36/19; National Videnskabsetisk Komité, 2401881; University of KwaZulu-Natal Biomedical Research EC, BREC/00001592/2020; Etikprövningsmyndigheten, 2019–04477; Ethikkommission Medizinische Hochschule Hannover, 8660_BO_K_2019; Ethik-Kommission an der Medizinischen Fakultät der Universität Leipzig, 080/21-lk; Comité de Ética de la Investigación con Medicamentos Hospital Universitario 12 de Octubre, 19/392; Landesärztekammer Rheinland-Pfalz EC, 2025–18012-andere Forschung/nachberatend; Local Ethical Committee at National Medical and Surgical Centre named after NI Pirogoov, LEC meeting 5; Ethikkommission bei der LMU München, 19–589; Komisja Bioetyczna przy Warmiłsko-Mazurskiej Izbie Lekarskiej w Olsztynie, 12/2021; De Medisch Ethische Toetsings Commissie Erasmus MC, MEC-2019–0696 and Comissão Nacional de Ética em Pesquisa, 3.825.711.
This study aims to explore how age and gender are associated with health deterioration related to caregiving among caregivers aged 75 and older in Spain.
Observational, descriptive, cross-sectional study.
Nationwide survey in Spain: 2020 Survey on Disability, Personal Autonomy and Situations of Dependency.
All non-professional caregivers identified by the survey (3746): 3166 caregivers younger than 75 (CG75–) and 580 caregivers 75 years old or older (CG75+).
Self-reported caregivers’ health deterioration, as a categorical variable (present or absent).
The majority of caregivers in both groups were women (63.2% of CG75– and 57.0% of CG75+, p=0.011). CG75+ provided care 16 hours/day (vs 14.1 hours/day of CG75–, p=0.032). Over half of CG75+ reported health deterioration (53.0%), compared with 43.5% of CG75– (p
In Spain, older caregivers have a specific socio-demographic profile, provide high-intensity care and report a higher caregiving-related health deterioration. However, the association between older age and health deterioration was found only in women. Public health interventions must prioritise older female caregivers.
Integrated digital diagnostics can support complex surgeries in many anatomic sites, and brain tumour surgery represents one of the most complex cases. Neurosurgeons face several challenges during brain tumour surgeries, such as differentiating critical tissue from brain tumour margins. To overcome these challenges, the STRATUM project will develop a 3D decision support tool for brain surgery guidance and diagnostics based on multimodal data processing, including hyperspectral imaging, integrated as a point-of-care computing tool in neurosurgical workflows. This paper reports the protocol for the development and technical validation of the STRATUM tool.
This international multicentre, prospective, open, observational cohort study, STRATUM-OS (study: 28 months, pre-recruitment: 2 months, recruitment: 20 months, follow-up: 6 months), with no control group, will collect data from 320 patients undergoing standard neurosurgical procedures to: (1) develop and technically validate the STRATUM tool and (2) collect the outcome measures for comparing the standard procedure versus the standard procedure plus the use of the STRATUM tool during surgery in a subsequent historically controlled non-randomised clinical trial.
The protocol was approved by the participant ethics committees. Results will be disseminated in scientific conferences and peer-reviewed journals.
by Verónica Martínez-Borba, Andrés E. Rodríguez-Márquez, Sara Garcés-Arilla, Óscar Peris-Baquero, María Vicenta Navarro-Haro, Esther del Corral-Beamonte, Jorge Osma
BackgroundLong COVID-19 is a medical condition associated with persistent physical, cognitive, and emotional symptoms. Despite its significant impact, there are still few psychological interventions—especially with transdiagnostic approaches— that have been rigorously tested in this population. The aim of the present protocol is to describe a randomized controlled trial to examine the effectiveness and acceptability of the online, group-delivered Unified Protocol (UP) for improving emotional, and cognitive outcomes in adults with long COVID-19. We expect greater improvements in emotional and cognitive outcomes for the UP group compared to controls. Additionally, exploratory analyses will assess changes in neurocognitive performance and hair cortisol/cortisone levels as potential correlates of treatment response.
Methods90 individuals diagnosed with long COVID-19 will be randomized to an experimental group or a waiting-list control group (1:1 ratio). Participants in the experimental group will receive the UP across 12 online group sessions. Longitudinal assessments (pre-treatment, post-treatment and 3, 6 and 12 months follow-ups) will include psychological (e.g., anxiety and depressive symptoms) and cognitive outcomes (e.g., memory failures). Participants in the experimental group will also complete neuropsychological tests and will provide hair samples for the assessment of cortisol/cortisone levels.
Data analysesBaseline characteristics will be described using descriptive statistics, and linear mixed-effects models will evaluate the effects of time, group, and their interaction on psychological and cognitive outcomes. Neuropsychological performance and hair cortisol levels will be analyzed over time in the experimental group. Associations between cortisol and psychological or cognitive measures will be explored through correlational analyses.
ConclusionsWe expect positive outcomes after the intervention in acceptability and in emotional symptoms and cognitive complaints in individuals living with long COVID-19, the maintenance of the benefits in all follow-ups, and statistically significant changes in favor of the UP condition in comparison with the waiting-list control group. If effective, the UP could provide an accessible and evidence-based psychological treatment for this population, improving the quality of healthcare to individuals with long COVID-19.
Trial registrationclinicatrials.gov (registration identifier: NCT06928480; May 22, 2025).
To understand the political, economic, social and technological facilitators and barriers in obtaining an HIV diagnosis to inform implementation strategies for HIV diagnostics in the Dominican Republic (DR).
In-depth, semi-structured qualitative interviews.
A high complexity public hospital in Santiago de los Caballeros, DR.
A convenience and purposive sample of 36 internal medicine physicians and laboratory personnel involved in sample collection, sample analysis or oversight of biological sample analysis.
Using the Social Ecological Model, our results highlighted several interrelated barriers and facilitators to sample analysis at the individual (patient), interpersonal (interactions between laboratory personnel, physicians and patients), organisational (the hospital), community (Santiago de Los Caballeros) and societal (the DR) levels. Some key findings include the importance of psychological support in receiving an HIV diagnosis, how spoken language can be a barrier to care, how inconsistent access to laboratory supplies is a barrier for patients, laboratory personnel and clinicians, and the importance of government public health investment.
Employing qualitative methods to investigate a bioengineering challenge yielded rich data on the sociotechnical implementation context of HIV diagnostics in the DR. Several context-relevant suggestions were developed for HIV diagnostic developers which include incorporating psychological support into the diagnosis workflow, delivering information in multiple languages (ie, Haitian Creole and Spanish) and with non-stigmatising phrasing, working with the public sector to develop and implement technologies, and reducing the supply chain reliance on high-income countries to lessen delays in care. These findings can apply to other types of health technologies and settings and demonstrate the importance of utilizing human-centered design to understand implementation context and promote global health equity in health technology development and adoption.
FreshRSS 