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Stroke is a global health concern. A timely response to a stroke can help reduce morbidity and mortality. However, barriers to timely response include poor recognition of stroke symptoms. Stroke symptom messages are designed to increase stroke recognition and encourage individuals to seek urgent medical assistance. The Face, Arm, Speech, Time (FAST) and Balance, Eyes, Face, Arm, Speech, Time (BE FAST) are commonly used stroke symptom messages shown to improve stroke symptom recognition and response. However, cultural factors and language differences may limit the effectiveness of stroke symptom messages and their acceptability in different countries and contexts. There has not been a comprehensive examination of the stroke symptom messages used worldwide and how these messages have been adapted in various settings.
We explored what stroke response messages are being used globally, and the contextual factors that influence the adoption of a stroke response mnemonic in different settings.
A 14-item survey was disseminated by the World Stroke Organization to its networks. The survey contained open- and closed-ended questions and allowed uploading relevant stroke symptom campaign materials. The survey was analyzed using descriptive statistics and a content analysis.
All except one survey respondent used a stroke symptom message. Fifteen respondents (27%) reported they did not translate their stroke awareness messaging. Of these 15 respondents, they used the English versions of FAST (n = 8), BE FAST (n = 4), and both FAST and BE FAST (n = 3). Forty respondents (71%) reported that they/their organization used an acronym to raise public awareness of the signs/symptoms of stroke that was different from FAST or BE FAST (English), many of which were direct or indirect translations or influenced by FAST and BE FAST. Survey responses shared insights and recommendations related to the content, tailoring and dissemination of stroke symptom messages.
Study findings highlight the global use of stroke symptom messages and their contextual adaptations to fit diverse settings and contexts. The challenges in applying universal or commonly used stroke symptom messages to different contexts were highlighted.
Nurses could have a key role in raising awareness of stroke symptoms and the development of locally adapted stroke symptom messages.
Creating a healthy work environment requires balancing organizational goals with ethical responsibilities, where head nurses' ethical leadership can shape staff outcomes by mitigating work–family conflicts and promoting nurses' well-being, retention, and patient safety. This study aims to analyze the mediating role of work–family between head nurses' ethical leadership and nurses' reported errors, turnover intention, and physical and mental health.
Nationwide Multicenter cross-sectional study.
Validated self-report scales were used to assess nurses' perceptions of head nurses' ethical leadership, work–family conflict, error, turnover intention, physical and mental health. Descriptive and inferential analyses were conducted. Structural equation modeling examined the relationships among these variables based on Della Bella's and Fiorini's framework.
Data from 409 nurses across seven Italian hospitals was analyzed. The structural equation model showed an excellent fit. Head nurses' Ethical leadership was negatively associated with work–family conflicts, turnover intention, and errors, and positively associated with nurses' health. Work–family conflicts were significantly linked to turnover intention, errors, and nurses' health. Work–family conflicts mediate the relation between ethical leadership and turnover intention, errors, and nurses' health.
Promoting healthy work environments is crucial for nurses', patients', and organizations' well-being. Ethical leadership helps achieve this condition by reducing work–family conflicts, fostering nurses' well-being, decreasing turnover intention, and improving care quality. Disseminating ethical leadership programs and integrating with work–life balance policies can therefore strengthen both staff retention and organizational outcomes.
Ethical leadership can foster patient care, reduce turnover intention and errors, and improve nurses' well-being. Therefore, maintaining employee performance and organizational results requires integrating work–life balance policies with ethical leadership development programs.
The study adhered to The Strengthening the Reporting of Observational Studies in Epidemiology checklist.
This study did not include patient or public involvement.
The study was preregistered on the Open Science Framework https://osf.io/8jk37/overview.
This study did not include patient or public involvement in its design, conduct, or reporting.
Healthcare professionals are expected to provide holistic care to their patients without discrimination based on factors such as religion, language, age, gender, and race.
It is a cross-sectional descriptive study.
The study aimed to examine the discriminatory attitudes of nurses and physicians working in hospitals in Sanliurfa and to define whether the personal and professional variables predict discriminatory attitudes among them.
The STROBE reporting method, which is one of the EQUATOR guidelines, was followed. Data were collected from a total of 376 physicians and nurses through online platforms between March and June 2020 via the information form and the Discrimination Attitude Scale.
The discriminatory attitudes of the nurses and physicians participating in the study were above average. The total discriminatory attitudes scores of the participants varied according to sex, income levels, profession, hospital experience, and unit (p < 0.05). In addition, sex, profession and unit variables predicted the total discriminatory attitudes of nurses and physicians (p < 0.05).
Although nurses' and physicians' discriminatory attitudes scores were generally higher, the highest mean score was in the subscale “discrimination against other nationalities.” Sex, profession, and unit variables predicted the total discriminatory attitudes of nurses and physicians. Further quantitative and qualitative research is needed to understand the reasons for the highest discriminatory attitudes towards other nationalities among healthcare professionals, to overcome this issue.
Nursing or healthcare managers, as well as policymakers, may consider the predictive variables when staffing and training nurses and physicians working in similar regions and conditions.
Assess US registered nurse genomic competency.
Administered the Genetics and Genomics Nursing Practice Survey (GGNPS).
GGNPS assesses genomic knowledge, skills, attitudes, confidence, and utilization in nursing practice. Distributed by the American Nurses Association via email and online to US registered nurses. Results are analyzed using descriptive statistics and compared to 2010 data.
1065 registered nurses responded. Most (41%) were Master's prepared, actively seeing patients (51%) and 66% considered it very important to learn more about genomics. Most (55%) reported their genomic knowledge was poor yet 51% reported a patient initiated a genetic discussion with them in the past 3 months. 66% completed all knowledge score items with a median score of 9/12, no change from 2010. Only 26% had heard of the Essential Competencies. Most reported no genomic curricular content (64%); had not attended a genomic course since licensure (64%); intended to learn more about genomics (70%); and would attend a course on their own time (79%).
Nurses felt genomics was important but have capacity deficits. Despite genomic discoveries and evidence-based practice guidelines that impact healthcare quality and safety, 20 years after the Genomic Competencies were established (2005) nursing genomic practice capacity remains low.
Genomics is critical to the safe, quality nursing practice regardless of the level of academic training, clinical role, or specialty.
To examine the paradox of representation without power in nursing leadership and to highlight how gendered hierarchies persist in academic, clinical, and policy arenas despite nursing's predominantly female composition.
Existing systems of evaluation and promotion often reproduce inequities by undervaluing relational and collaborative leadership styles—forms of leadership intrinsic to nursing practice. This commentary draws on global and contextual perspectives to advocate for accreditation and institutional metrics that integrate equity indicators and recognize inclusive leadership as a marker of excellence.
Advancing gender equity in leadership is both an ethical and strategic imperative. Embedding equity education and inclusive leadership development within nursing curricula from the earliest stages of professional formation is essential to reshape the future of nursing leadership.
Promoting gender equity in leadership will strengthen nursing's contribution to health systems, enhance organizational resilience, and advance equitable patient care.
This article challenges the tendency to frame diminished confidence and ethical uncertainty among nurses as individual shortcomings. While the need for up-to-date knowledge and moral clarity is undeniable, this piece argues that systemic factors—such as inadequate institutional support, unsafe staffing, and lack of access to continuing education—play a significant role in undermining nurses' ability to act ethically and confidently. Drawing from global case examples, including the Ebola crisis and the COVID-19 pandemic, this article highlights how moral distress often stems not from ignorance or weakness, but from structural barriers and ethical overload.
Sensory balance is the individual's ability to regulate internal and external sensory stimuli to remain in a functional and balanced state.
This study aims to explore in depth the experiences of psychiatric nurses caring for trauma victims in building sensory balance and well-being.
Psychiatric nurses caring for trauma victims may be constantly exposed to intense sensory stimuli such as yelling and agitation. It is known that post-traumatic stress disorder and burnout are seen in nurses caring for these individuals; however, it is noteworthy that studies on how this process is reflected sensoryly in individuals are limited.
Snowball sampling method was used in this qualitative phenomenological study. In-depth interviews were conducted with 14 volunteer psychiatric nurses caring for trauma victims. Data were collected using a semi-structured interview form and analyzed using Colaizzi's method. COREQ guidelines were adhered to throughout the research process.
Four categories and a total of eight themes were obtained from the in-depth interviews. “Traces of Traumatic Contact, Emotional Armor and Inner Distance, Transformation through Exhaustion, Institutional Silence and Seeking Solidarity”.
This study shows that psychiatric nurses caring for trauma victims are both professionally and individually traumatized and face the risk of losing their identity. It has also been found that nurses withdraw both sensorially and emotionally and experience burnout. But in some cases this process transforms into the development of awareness and maturity. It was also found that despite adverse working conditions, contact with nature, silence and collegial solidarity played a protective role in rebuilding well-being.
This study addresses in depth the sensory, emotional and identity impacts experienced by psychiatric nurses caring for trauma victims and draws attention to the effects of these conditions on the process of well-being construction. The results of the study provide important points for the development of education, self-care and institutional support mechanisms to support nurses' well-being.
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.
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.
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