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Randomized controlled trials (RCTs) are essential for evidence-based nursing care. However, the quality of reporting and adherence to methodological standards in Latin American nursing journals remains unclear. This study evaluates the characteristics, reporting quality, and potential risk of bias of RCTs published in Latin American nursing journals.
To assess the reporting compliance and risk of bias of RCTs published in Latin American nursing journals.
Meta-research study.
A comprehensive handsearch of 29 Latin American nursing journals was performed covering publications from 2000 to 2024. Identified RCTs were assessed for adherence to CONSORT reporting guidelines and evaluated for risk of bias. Outcomes were classified using the COMET taxonomy. A descriptive analysis was performed.
A total of 6377 references were screened, identifying 34 eligible RCTs, most published after 2018. The median CONSORT compliance was 19 reported items (IQR 16–22). High compliance (> 90%) was observed in abstract reporting items, study objectives, and participant selection criteria. However, critical methodological features such as randomization procedures, blinding, and protocol registration showed low adherence (< 40%). Risk of bias was mostly rated as having “some concerns”, largely due to insufficient reporting. According to the COMET taxonomy, the most frequently reported outcome domains were “Delivery of care” and “Physical functioning”.
Reporting compliance and risk of bias of RCTs published in Latin American nursing journals presents significant gaps, particularly in key methodological domains. These shortcomings hinder transparency, reproducibility, and integration into evidence synthesis. Strengthening editorial policies and enforcing reporting standards could enhance the quality and reliability of published research in Latin American nursing journals.
Incarceration significantly impacts inmates health, particularly marginalized groups like transgender persons, due to systemic oppression and inadequate healthcare. This study aims to understand transgender prisoners' health management experiences.
An interpretative phenomenological approach was used. Data were collected through in-depth interviews with eight transgender inmates in Barcelona, Spain, and analyzed using the seven-step Colaizzi method.
Three primary themes emerged: (1) Navigating Vulnerability in Healthcare Dynamics, which highlighted experiences of stigma and inadequate care; (2) The Quest for Wellbeing Amidst Uncertainty, underscoring concerns regarding treatment continuity; and (3) Negotiating a Landscape of Violence, revealing experiences of harassment and discrimination.
This study highlights the need for culturally competent, person-centered healthcare policies in prisons, particularly for transgender individuals. Addressing the specific health needs of transgender inmates is crucial for enhancing their overall well-being. This emphasizes the importance of systemic reforms to improve care provision for transgender prisoners.
Prison nurses must prioritize person-centered approaches, ensure continuity of gender-affirming treatments, and provide empathetic mental health support to enhance trust and improve the overall well-being of transgender inmates.
Conducting bias assessments in systematic reviews is a time-consuming process that involves subjective judgments. The use of artificial intelligence (AI) technologies to perform these assessments can potentially save time and enhance consistency. Nevertheless, the efficacy of AI technologies in conducting bias assessments remains inadequately explored.
This study aims to evaluate the efficacy of ChatGPT-4o in assessing bias using the revised Cochrane RoB2 tool, focusing on randomized controlled trials in nursing.
ChatGPT-4o was provided with the RoB2 assessment guide in the form of a PDF document and instructed to perform bias assessments for the 80 open-access RCTs included in the study. The results of the bias assessments conducted by ChatGPT-4o for each domain were then compared with those of the meta-analysis authors using Cohen's weighted kappa analysis.
Weighted Cohen's kappa values showed better agreement in bias in the measurement of the outcome (D4, 0.22) and bias arising from the randomization process (D1, 0.20), while negative values in bias due to missing outcome data (D3, −0.12) and bias in the selection of the reported result (D5, −0.09) indicated poor agreement. The highest accuracy was observed in D5 (0.81), and the lowest in D1 (0.60). F1 scores were highest in bias due to deviations from intended interventions (D2, 0.74) and lowest in D3 (0.00) and D5 (0.00). Specificity was higher in D5 (0.93) and D3 (0.82), while sensitivity and precision were low in these domains.
The agreement between ChatGPT-4o and the meta-analysis studies in the same RCT assessments is generally low. This indicates that ChatGPT-4o requires substantial enhancements before it can be used as a reliable tool for bias risk assessments.
The AI–based tools have the potential to expedite bias assessment in systematic reviews. However, this study demonstrates that ChatGPT-4o, in its current form, lacks sufficient consistency, indicating that such tools should be integrated cautiously and used under continuous human oversight, particularly in evidence-based evaluations that inform clinical decision-making.
Osteoporosis requires long-term self-care engagement, yet little is known about how individuals experience and manage self-care in everyday life. Understanding these experiences is essential to inform tailored nursing interventions. The objective of the study was to explore and describe the experience of self-care maintenance, monitoring, and management in people with osteoporosis.
A qualitative descriptive study.
We conducted semi-structured interviews. Data were analyzed using Mayring's qualitative content analysis with a deductive approach based on Riegel's theory of self-care. We reported data in accordance with the Consolidated Criteria for Reporting Qualitative Studies (COREQ) checklist.
Participants (1 Male, 19 Females; Aged 55–80) Identified Four Themes of self-care: maintenance (e.g., Medication Adherence, Physical Activity), monitoring (e.g., Symptom Recognition, Test Interpretation), management (e.g., Lifestyle Reflections, Prevention), and general self-care. Key factors included motivation, trust in healthcare professionals, and integration of health behaviors into daily life. Barriers were low self-efficacy, poor symptom recognition, and inconsistent adherence.
Self-care in osteoporosis is a multidimensional and dynamic process influenced by individual beliefs, contextual factors, and support from healthcare professionals. Recognizing the variability in patients' self-care behaviors is essential to develop personalized education and support. Strengthening general health behaviors may enhance disease-specific self-care. This understanding can guide healthcare professionals in designing more effective, tailored care strategies.
To identify the barriers and facilitators in the implementation of fertility preservation (FP) shared decision-making (SDM) in oncology care.
Qualitative descriptive study.
Qualitative interviews with 16 female patients with cancer and seven healthcare providers were conducted between July 2022 and April 2024. Data were analyzed using directed content analysis, guided by the implementation science framework.
We identified 22 categories comprising 38 codes as barriers to SDM implementation and 17 categories comprising 26 codes as facilitators. Findings revealed that, at the innovation level, accessibility, feasibility, interdisciplinary collaboration, and quality improvement efforts were decisive in the implementation of FP SDM. At the individual level, healthcare providers' awareness and attitudes towards FP and SDM, as well as patients' knowledge, attitudes, and capabilities in FP SDM, were crucial factors in the implementation of FP SDM. In social, economic, and organizational contexts, support from significant others, social awareness about FP, multidisciplinary care, financial assistance, and educational resources were determinants in implementing FP SDM.
Implementing FP SDM among female patients with cancer necessitates a strategic approach that considers barriers and facilitators. Educating and promoting FP SDM among the public and healthcare providers, combined with incentivizing policies, can enhance individual knowledge and awareness while achieving systemic improvements, facilitating its successful implementation.
This study provides insights into barriers and facilitators and proposes strategic approaches to enhancing FP SDM implementation, contributing to improved quality of life for cancer survivors and advancements in clinical practice.
Smoking is the leading cause of preventable deaths. The training of professionals on brief tobacco interventions (BTIs) increases the effectiveness of these interventions.
To assess the effectiveness of an online training program on BTI based on the 5As and 5Rs model in acquiring anti-tobacco brief advice competencies among nurses.
Quasi-experimental study with a pre-test and post-test design, with a control group and without random assignment. In the experimental group (EG), online training was provided in three sections: BTI theoretical content and methodology, clinical scenario videos, and feedback. Each scenario assessed the 5As and 5Rs as a validated instrument (BTI-Prof(C)). The control group (CG) only assessed the three videos of clinical scenarios. In both groups, competence was measured at the following points in time: T0 (before the training), T1 (at the end of the training), and T2 (after 90 days). The efficacy of the intervention was measured through a two-way ANOVA, and the variation rate was calculated from T0 to T1 and from T0 to T2.
236 nurses participated (157 EG; 79 CG). The mean age was 42.9 years, and 76.7% were women. There was a significant group*time interaction in the three cases, indicating that the online BTI training increases the competence of these professionals in clinical scenario 1 (F = 10.210; p ≤ 0.001; η 2 = 0.081), clinical scenario 2 (F = 6.235; p = 0.002; η 2 = 0.051), and clinical scenario 3 (F = 11.271; p ≤ 0.001; η 2 = 0.090).
A brief, asynchronous, and online intervention using standardized video-based cases is effective in improving nurses' BTI competence. This type of training can be a useful option for the National Health System as part of a global and continuous strategy for nurses to perform BTI.
An asynchronous online training program provides nurses with standardized, evidence-based tools to implement brief tobacco interventions in routine care, offering a scalable and practical solution to strengthen preventive strategies in health systems.
The climate crisis impacts global health and is exacerbated by the healthcare sector's emissions. Nurses, as the largest professional group, are key to promoting climate-resilient, low-carbon health systems. Integrating climate change and sustainable development into nursing education is crucial, yet gaps remain in understanding their representation in curricula and practice. This review examines the role of nursing in addressing climate change and sustainable development, focusing on their integration into education and related recommendations.
A narrative literature review was conducted to synthesize existing recent research on nursing, climate change, and sustainable development. No restrictions were applied to study design; however, studies published before 2017 were excluded.
A search was conducted in PubMed, CINAHL, and Google Scholar (January 2023, and updated in August 2024). Relevant studies were screened and duplicates removed. Data extraction followed inductive content analysis, with coding and categorization being undertaken collaboratively. MAXQDA PLUS 2022 was used for analysis, and new findings from the follow-up search were incorporated into existing categories or new ones were developed.
The review analyzed 33 articles on nursing's role in addressing climate change. Findings highlight gaps in knowledge, delayed responses, and the need for nurses to take on leadership roles. Education is crucial, yet curricula integration remains limited. Nurses must engage in advocacy, interdisciplinary collaboration, and policy development. Barriers include a lack of faculty awareness and overloaded curricula. A collective call for action urges nurses to embrace sustainability, strengthen research, and lead in achieving climate resilience.
This review highlights the need to integrate climate change and sustainable development into nursing education and practice. Nurses are vital to public health and to addressing climate change, but education gaps hinder their potential. Future research should focus on improving curricula, exploring Advanced Practice Nursing leadership roles, and addressing healthcare system challenges.
Integrating Sustainable Development and the Climate Crisis into nursing education and practice is crucial to preparing nurses for the health challenges posed by environmental changes, as well as for ensuring effective patient care, disaster response, and policy advocacy. Their integration is a process and should be viewed as being a consequence of the delayed responses, as identified in this review. This process should specifically address the identified gaps, such as the lack of basic knowledge concerning climate change and sustainable development, as well as learning to take on leadership roles in practice. More specifically, taking a leadership role includes both acting as a knowledge multiplier and increasing the health literacy of the general population.
Artificial Intelligence is revolutionizing healthcare by addressing complex challenges and enhancing patient care. AI technologies, such as machine learning, natural language processing, and predictive analytics, offer significant potential to impact nursing practice and patient outcomes.
This systematic review aims to assess the impact of Artificial Intelligence applications in healthcare on nursing practice and patient outcomes. The goal is to evaluate the effectiveness of these technologies in improving nursing efficiency and patient care and to identify areas requiring further research.
This review, conducted in August 2024, followed PRISMA guidelines. We searched PubMed, GOOGLE SCHOLAR, and Web of Science for studies published up to August 2024. The inclusion criteria were original research on AI in nursing and healthcare practice published in English. A two-stage screening process was used to select relevant studies, which were then analyzed for their impact on nursing practice and patient outcomes.
A total of 5975 studies were surveyed from the previously mentioned databases, which met the inclusion criteria. Findings show that AI applications, including machine learning, robotic process automation, and natural language processing, have improved diagnostic accuracy, patient management, and operational efficiency. Machine learning enhanced disease detection, reduced administrative tasks for nurses, NLP improved documentation accuracy, and physical robots increased patient safety and comfort. Challenges identified include data privacy concerns, integration into existing workflows, and methodological variability.
AI technologies have substantially improved nursing practice and patient outcomes. Addressing challenges related to data privacy and integration, as well as standardizing methodologies, is essential for optimizing AI's potential in healthcare. Further research is needed to explore the long-term impacts, cost-effectiveness, and ethical implications of Artificial Intelligence in this field.
Artificial Intelligence (AI) is revolutionizing healthcare by enhancing nursing practices and improving patient outcomes. Tools such as Clinical Decision Support Systems (CDSS), predictive analytics, robotic process automation (RPA), and remote monitoring empower nurses to make informed decisions, optimize workflows, and monitor patients more effectively. AI enhances decision-making, boosts efficiency, and facilitates personalized care, while aiding in early detection and real-time data analysis. It also contributes to better nurse education and patient safety by minimizing errors and enabling remote consultations. However, for AI to be successfully integrated into healthcare, it is essential to tackle challenges related to training, ethical considerations, and data privacy to guarantee its effective implementation and positive impact on the quality and safety of healthcare.
As healthcare systems confront rising demands and workforce shortages, advanced practice nursing (APN) has emerged globally as a vital strategy to improve care delivery and address systemic gaps, particularly in primary care facilities in low- and middle-income countries like the Philippines.
Qualitative case study.
This study was conducted in a rural setting in the Philippines and draws on a preceding mixed-methods case study that explored task shifting and advanced nursing practice in primary care facilities. Using purposeful sampling, 41 nurses, physicians, academics, policymakers, and recipients of care participated in interviews and focus group discussions. Qualitative data were thematically analyzed in ATLAS.ti, and quantitative data were descriptively analyzed in JASP. Findings were integrated into the APN framework tailored to primary care in low- and middle-income countries (LMICs).
Although the Philippines lacks a formal APN policy, nurses informally fulfill many advanced practice roles aligned with Hamric's model, particularly in direct patient care, leadership, collaboration, and evidence-based practice. Key enabling competencies include health promotion, systems thinking, and policy implementation—environmental barriers such as a lack of regulatory frameworks, educational pathways, and financing limit APN institutionalization.
This study proposes a contextualized advanced practice nursing (APN) model, which is relevant for LMICs, particularly in primary care facilities facing workforce shortages and rising NCD burdens. To institutionalize APN roles, key reforms should include investments in education, certification, financing, and regulation. Settings implementing initiatives to attain universal health coverage can serve as entry points for recognizing APN functions through competency-based systems.
The study proposes a contextualized APN framework for low-resource settings, showing that formalizing expanded nursing roles through education and certification can enhance access to quality care and advance UHC in underserved areas.
With ambient listening systems increasingly adopted in healthcare, analyzing clinician-patient conversations has become essential. The Omaha System is a standardized terminology for documenting patient care, classifying health problems into four domains across 42 problems and 377 signs/symptoms. Manually identifying and mapping these problems is time-consuming and labor-intensive. This study aims to automate health problem identification from clinician-patient conversations using large language models (LLMs) with retrieval-augmented generation (RAG).
Using the Omaha System framework, we analyzed 5118 utterances from 22 clinician-patient encounters in home healthcare. RAG-enhanced LLMs detected health problems and mapped them to Omaha System terminology. We evaluated different model configurations, including embedding models, context window sizes, parameter settings (top k, top p), and prompting strategies (zero-shot, few-shot, and chain-of-thought). Three LLMs—Llama 3.1-8B-Instruct, GPT-4o-mini, and GPT-o3-mini—were compared using precision, recall, and F1-score against expert annotations.
The optimal configuration used a 1-utterance context window, top k = 15, top p = 0.6, and few-shot learning with chain-of-thought prompting. GPT-4o-mini achieved the highest F1-score (0.90) for both problem and sign/symptom identification, followed by GPT-o3-mini (0.83/0.82), while Llama 3.1-8B-Instruct performed worst (0.73/0.72).
Using the Omaha System, LLMs with RAG effectively automate health problem identification in clinical conversations. This approach can enhance documentation completeness, reduce documentation burden, and potentially improve patient outcomes through more comprehensive problem identification, translating into tangible improvements in clinical efficiency and care delivery.
Automating health problem identification from clinical conversations can improve documentation accuracy, reduce burden, and ensure alignment with standardized frameworks like the Omaha System, enhancing care quality and continuity in home healthcare.
Patients with advanced cancer can suffer from serious distress like death anxiety and depression, in addition to facing a reduced quality of life. Death education interventions have been shown to improve these outcomes, but their effectiveness remains unclear, especially in the advanced stages.
This meta-analysis aimed to examine the efficacy of death education interventions on death anxiety, depression, and quality of life in advanced cancer sufferers, and to explore the influence of the intervention site, duration, the age of participants, and dyadic relationships with caregivers on the effectiveness of these interventions.
A meta-analysis of randomized controlled trials was performed.
A systematic search of 10 electronic databases identified 19 eligible RCTs with 1531 participants. Data were extracted and analyzed via Review Manager 5.4. Subgroup analyses were performed on the basis of the intervention site, duration, age of participants, and presence of caregivers.
In comparison to the control intervention, the death education intervention notably alleviated death anxiety (SMD = −2.11, 95% CI: −5.91 to −0.89, p = 0.008) and depression (SMD = −0.45, 95% CI: −0.72 to −0.18, p = 0.001). Quality of life (SMD = 0.86, 95% CI: 0.39–1.33, p = 0.0003) was also significantly improved. Subgroup analyses revealed that interventions with longer durations, conducted in professional settings, and targeting younger patients were more likely to be effective in reducing depression and enhancing the quality of life. Interventions without family companionship were more effective in improving depression, while interventions with family companionship were more effective in improving quality of life.
Death education interventions are effective at improving death anxiety, depression, and quality of life in patients with advanced cancer. Tailoring interventions to individual features and cultural backgrounds is crucial to achieving the best effect.
Death education is an effective and important intervention measure that can help patients with advanced cancer better cope with death anxiety and depressive emotions and improve their quality of life. Clinical medical workers should select appropriate death education programs based on the specific conditions of patients and provide necessary support and guidance.
CRD42024565376
Dementia resulting from type 2 diabetes mellitus (T2DM) complications significantly impacts older adults' quality of life, increasing suffering for both patients and their families. Numerous studies have identified self-management as a key factor in adopting appropriate health behaviors to prevent diabetes-related complications. However, internationally, there is insufficient empirical evidence for individual and family process factors predicting dementia prevention behaviors in older adults with T2DM. Therefore, we aimed to explore how dementia-preventive self-management behaviors (outcome dimension) are related to contextual and process dimensions based on the Individual and Family Self-Management Theory (IFSMT).
A cross-sectional observational study.
The 444 older adults with T2DM from six community hospitals in Chiang Mai completed valid and reliable self-reported measures, including a Socio-demographic Questionnaire, the Dementia Prevention of Individual and Family Self-Management Process Questionnaire (DP-IFSM-PQ), and the Dementia Preventive Self-Management Behavior Questionnaire (DPSMBQ). Data were analyzed using bivariate correlations, partial correlations, and multivariate linear regression with the stepwise method.
Most participants exhibited high levels of individual and family self-management processes and dementia-preventive self-management behaviors. Bivariate and partial correlation analyses revealed a significant association between DP-IFSM-PQ and DPSMBQ scores. Stepwise multiple linear regression identified self-efficacy, a subdomain of DP-IFSM-PQ, as the strongest predictor of DPSMBQ scores. Other significant predictors included awareness of dementia prevention among family members, neighbors, and the community; family income sufficiency; history of comorbidities; distance to the hospital; and knowledge and beliefs (a subdomain of the DP-IFSM-PQ). The regression model was statistically significant (F [1, 437] = 46.662, p = 0.000, Adjusted R 2 = 0.382).
Self-efficacy and knowledge and beliefs, based on IFSMT, are key predictors of dementia-preventive behaviors among older adults with T2DM. These predictors could be used as potential intervention components in a subsequent co-design study for promoting dementia preventive self-management behaviors in older adults with T2DM. The results also reinforce the importance of family members and healthcare providers in supporting older adults with T2DM to enhance their dementia prevention behaviors.
Socially assistive robots (SARs) have been used in group interventions for older adults; however, their effectiveness remains unclear. This systematic review aimed to synthesize evidence on the efficacy of group interventions with SARs on various outcomes (physical, cognitive, psychological, quality of life, therapeutic engagement, and sociality) for older adults, and the factors that influence their effectiveness.
A literature search was conducted using five databases (Web of Science, PubMed, Scopus, PsycINFO, and MEDLINE) in October 2024. The research team selected and analyzed the studies applying a narrative synthesis.
In all, 25 articles were identified, 15 of which were deemed of good quality. We found that companion robots are commonly used in group interventions for older adults that consist of physical, cognitive, and combined physical and cognitive activities. Insufficient evidence was identified on the effectiveness of physical interventions and groups with physical and cognitive activities on health outcomes (i.e., physical, cognitive, psychological, and quality of life). Regarding the cognitive group interventions, positive physical outcomes (i.e., improved sleep quality, decreased pulse rate, and increased pulse oximetry), improved cognitive function, positive psychological outcomes (i.e., decreased agitation, depression, anxiety, and loneliness, and increased positive emotions) were found; however, the positive effects in terms of cognitive level and certain psychological outcomes were comparable to the control groups. Mixed results were reported for quality of life in older adults. Across the three types of interventions, robots facilitated engagement and increased the sociality of most older adults. The effectiveness depended on the cognitive function of the older adults, the presence of staff, the type of robot, and the schedule of the interventions.
Research gaps have been identified, and more rigorous studies investigating the effectiveness of different types of group interventions in older adults are needed before applying SARs in group interventions on a large scale.
Given the importance of group interventions in nursing care of older adults, healthcare professionals can use socially assistive robots in such interventions to assist in caring for older adults.
Older adults may experience a wish to die in the context of deteriorating health, a loss of autonomy, loneliness, or depression. Home care workers may likewise experience burden or symptoms of depression as a result of prolonged contact with this physical and emotional suffering. Training initiatives that can support the well-being of home care workers are therefore important.
To describe the typical profile of older adults who express a wish to die to their home care worker, and to examine whether a psycho-educational intervention for care workers exploring the end-of-life process and self-care strategies had an impact on the older adult's wish to die and on the care worker's perceived burden and depressive symptoms.
Quasi-experimental, longitudinal study involving non-randomized experimental and control groups and follow-up at 3–6 months post-intervention.
At the start of the study, all care workers (n = 126) provided sociodemographic information (age, gender) for themselves and the care recipient, and completed the Karnofsky Performance Status scale and the Assessment of the Frequency and Extent of the Desire to Die (AFEDD) interview to provide a baseline measure of the care recipient's functional status and wish to die. They also completed the Beck Depression Inventory (BDI) and Zarit Burden Interview (ZBI) as a measure of their own perceived burden and depressive symptoms. The AFEDD, BDI, and ZBI were completed again by care workers at 3 and 6 months post-intervention.
The typical profile of care recipients was a woman aged 85.5 years who required considerable support and assistance and who had at least occasionally experienced a wish to die, although these thoughts were not always verbalized. Scores on the AFEDD remained relatively stable over the follow-up period in both the control and experimental groups. There was no significant association between the older adult's wish to die and depressive symptoms in the care worker across the study period. However, a positive and significant correlation between a wish to die in the older adult and perceived burden in the care worker was observed at 6 months post-intervention in both the total sample (p = 0.032) and among controls (p = 0.028). By contrast, this significant association was not found for care workers in the experimental group (p = 0.376), suggesting that the psycho-educational intervention may have had a protective effect.
Although further studies are needed to corroborate and extend these findings, the results suggest that psycho-educational interventions aimed at increasing home care workers' understanding of the end-of-life process and which introduce them to self-care strategies may help to reduce their perceived burden when the older person for whom they are caring expresses a wish to die.
Home care workers may find it challenging to care for an older adult who expresses a wish to die. Psycho-educational interventions that enhance care workers' understanding of the end-of-life process and teach them self-care strategies could help to support their well-being and their ability to provide adequate care.
Pregnancy can cause stress for couples, potentially leading to anxiety. However, most studies on antepartum anxiety focus on expectant mothers, ignoring the expectant fathers and the stress transmission between couples. We aim to examine the mediation of dyadic coping between antepartum anxiety and stress in expectant mothers and fathers.
We implemented a cross-sectional study in Guangzhou, China, from October 2023 to January 2024.
Three-hundred and twenty-nine Chinese pregnant couples completed the Perceived Stress Scale, the Dyadic Coping Inventory, and the State–Trait Anxiety Inventory. The actor-partner interdependence mediation model was used for data analysis.
Expectant mothers experienced antepartum anxiety symptoms at a rate of 42.6%, while the rate for expectant fathers was 32.5%. Regarding the actor effects, stress was positively associated with antepartum anxiety in expectant mothers (β = 0.66, 95% confidence interval CI [0.56, 0.74]) and fathers (β = 0.58, 95% CI [0.42, 0.70]), with dyadic coping acting as a mediator (expectant mothers: β = 0.08, 95% CI [0.03, 0.14]; fathers: β = 0.11, 95% CI [0.04, 0.19]). Regarding the partner effects, maternal dyadic coping was positively associated with paternal stress (β = 0.10, 95% CI [0.01, 0.19]).
The study highlights the interplay of stress, dyadic coping, and antepartum anxiety in expectant mothers and fathers, emphasizing the need to assess their antepartum anxiety and implement couple-centered interventions to enhance their psychological well-being during the first trimester of pregnancy.
This study highlights the importance of assessing antepartum anxiety in both expectant mothers and fathers, emphasizing the mediation of dyadic coping in reducing stress and anxiety. The findings support the integration of couple-centered mental health interventions into routine antepartum care to enhance psychological well-being during pregnancy.
The way communication is conducted directly influences the professional–patient relationship, how patients cope with their diagnosis, and their sense of hope throughout treatment. This study aims to map the literature on strategies that healthcare professionals can use to promote hope in communication with pediatric patients and their families in the context of chronic illness. Based on this objective, the study highlights an algorithm to assist healthcare professionals in instilling hope in this population through communication.
Scoping review.
This systematized review was conducted using the databases PubMed, LILACS, PsycInfo, Embase, CINAHL, and Scopus, employing the PCC framework and the Boolean operators AND and OR. The time frame was limited to the last 20 years (2004–2024). A total of 734 studies were identified across the databases, with an additional four retrieved through manual citation searches, resulting in 19 articles included in the final sample.
The findings highlight three key pillars for promoting hope in communication: (1) careful preparation for information delivery, which involves identifying the diverse needs of families and creating a physically comfortable and emotionally supportive environment; (2) providing information and emphasizing how it is presented—considering content, clarity, honesty, empathy, and adaptation to the recipient's specific needs; and (3) follow-up after information delivery, ensuring emotional support and active, skilled listening.
Interpersonal communication between the healthcare professional, the patient, and the family was mainly focused on the transmission of information about the disease and treatment in a clear and empathetic manner, considering who is receiving the information and how the information is interpreted.
This review provides guidance for healthcare professionals in implementing communication strategies that foster hope in the context of pediatric chronic illness. Additionally, this guide may serve as a model for training students and healthcare professionals. Further research is needed to implement and explore additional effective communication strategies for this population across diverse cultural settings.
FreshRSS 