JMIR nursing最新文献

Background: In 2017, Israel's health organizations established intraorganizational social media communities, believing that they would serve as a tool that would enable people to share experiences across regional boundaries. However, conducting preliminary studies and analyzing the findings to determine how they affected employees' experience was never part of this effort.

Objective: This study examined the impact of an intraorganizational digital community on nurses' professional identities and practices within a large health care organization.

Methods: Using a qualitative descriptive approach, semistructured interviews were conducted with 20 nurses from various specialties and regions participating in an intraorganizational nurses' community on Facebook.

Results: The findings showed that the intraorganizational community fostered a strong sense of belonging, emotional support, and professional development among its members. Participants talked about having a sense of community, much like being a member of a family, where they could confide in one another, ask for help and advice, and receive support. Enriched professional knowledge, self-efficacy, and pride in the nursing profession were all associated with active involvement in the community. The complex interactions of social media use in a hierarchical health care system were emphatically acknowledged by addressing challenges, including information overflow and concerns about sustaining a professional persona in a public digital domain.

Conclusions: Overall, the study illustrated how crucial it is for health care organizations to actively manage potential negative consequences while using the benefits of intraorganizational digital networks, such as improving supportive relationships and ongoing shared learning. This study contributes to the growing body of knowledge regarding the crossroad between social media and health care, offering insights into developing strategies to promote a supportive and connected nursing workforce. The implications are particularly relevant for organizations seeking to strengthen nurse well-being and professional development through innovative digital tools. Future research should include quantitative studies to assess an intraorganizational platform's influence on outcomes such as nurses' sense of community, professional identity, self-efficacy retention, and job satisfaction.

Background: The COVID-19 pandemic exposed systemic vulnerabilities in public health infrastructure, underscoring the urgency for innovation in disease surveillance and emergency response. Artificial intelligence (AI) has emerged as a promising tool to enhance the accuracy, efficiency, and scalability of public health interventions. Yet, there remains a limited understanding of how AI has been applied in real-world infectious disease control and who is contributing to its development and implementation.

Objective: This scoping review aimed to map current applications of AI in public health practice for infectious disease control since 2020. Specifically, it examined (1) the types of AI tools in use, (2) their purposes and implementation contexts, and (3) the professional and institutional actors leading these efforts, including the role of nurses.

Methods: Using the Joanna Briggs Institute's population, concept, and context framework, a structured search in Ovid MEDLINE was conducted, which was guided by the "5Cs" framework for health emergency preparedness from the World Health Organization (WHO). The search focused on English-language, peer-reviewed studies from 2020 that used AI tools for infectious disease control within real-world public health practice. Nonoriginal articles, simulation-only studies, and studies that lacked real-world implementation were excluded.

Results: Out of 600 screened studies in Ovid MEDLINE, 10 met the inclusion criteria. Two major AI types were identified: machine learning (ML) algorithms and language-based tools such as chatbots and large language models. ML tools supported outbreak detection, risk stratification, and resource allocation, while language-based tools promoted health communication, particularly around immunization and HIV prevention. Studies were conducted in a diverse range of countries, including several low- and middle-income countries, and used national datasets or surveillance systems. Despite nurses comprising half of the global health workforce, no nursing-affiliated authors were found among first or corresponding authors, and no nurses were represented in the broader authorship of the included studies.

Conclusions: AI technologies are being increasingly applied to support public health responses to infectious diseases, with applications ranging from predictive analytics to real-time public engagement. However, adoption remains limited in scale, scope, and professional diversity. The near-total absence of nursing participation in AI-related public health research is particularly striking and represents a missed opportunity for inclusive innovation. Strengthening implementation research and advancing informatics education among nursing professionals are critical next steps to ensure that AI tools reflect the realities of public health practice and promote equitable outcomes.

Background: eHealth technologies have shown promise in improving the accessibility and quality of nursing research and practice. Little is known about nurses' perception of eHealth technology that are prerequisites for the implementation of eHealth-based nursing care.

Objective: We aimed to confirm the factor structure and examine the validity and reliability of the novel 19-item Perception of eHealth Technology Scale in Chinese Brief (PETS-C Brief) in Chinese nurses. The associations of sociodemographic and working-related characteristics with PETS-C Brief scores were investigated.

Methods: Participants were 1409 nurses (96.8% female; mean age 34.6, SD 8.6 y) working in hospital or community settings in Shanghai, China. Confirmatory factor analysis was conducted to verify the previously reported four-factor structure of PETS-C Brief. Cronbach α was calculated for internal consistency reliability. One-month test-retest reliability was assessed in 123 participants completing the one-month follow-up survey. Associations of sociodemographic and working-related characteristics (ie, years of employment, professional title, and setting) with PETS-C Brief scores were analyzed using multivariable linear regression. Known-group validity was assessed by examining the associations of age and educational attainment with PETS-C Brief scores.

Results: The goodness-of-fit of the four-factor PETS-C Brief was shown to be acceptable (comparative fit index [CFI]=0.95, standardized root mean squared residual [SRMR]=0.065, root mean square error of approximation [RMSEA]=0.074). The scale showed a good internal consistency reliability (Cronbach α=0.91) and one-month test-retest reliability (intraclass correlation coefficient=0.68, 95% CI: 0.55, 0.78). Known-group validity was supported by the inverse association of age with PETS-C Brief scores (P=.002) and positive association of educational attainment with PETS-C Brief scores (P for trend=.043). No significant associations were observed between working-related characteristics and PETS-C Brief scores.

Conclusions: Our validation study supported the four-factor structure of PETS-C Brief with satisfactory validity and reliability in Chinese nurses, suggesting the scale could be deployed for assessing perception of eHealth technology. Future studies with larger sample, random sampling, and in other cultural settings are warranted to increase the generalizability.

Background: Hypertension is a prevalent concern among older adults, often leading to complex cardiovascular complications when uncontrolled. Telenursing technology facilitates self-management, and the integration of domain-specific ontology allows real-time interpretation of behavioral and biometric data to provide personalized recommendations, enhancing patient engagement and self-care.

Objective: This study aimed to examine the within-group and between-group effects of self-health monitoring using smart devices combined with ontology technology on hypertension-controlling behavior and mean arterial pressure among older adults with uncontrolled hypertension.

Methods: The quasi-experimental design was conducted with 91 older adults in Bangkok, Thailand (46 experimental and 45 comparison participants). Participants in the experimental group used the "HT GeriCare@STOU" app on smartphones, linked to smartwatches for blood pressure monitoring, step count, and sleep pattern, with telenursing support via video calls. Data on hypertension-controlling behavior were collected using a validated questionnaire (Cronbach α=0.83; content validity index=0.98). Descriptive statistics and t tests were used to analyze within-group and between-group differences.

Results: Within-group analysis revealed that experimental participants showed improved hypertension-controlling behavior and reduced mean arterial pressure after the program. Between-group comparisons indicated that mean arterial pressure in the experimental group was significantly lower than in the comparison group (P<.05), although hypertension-controlling behavior did not differ significantly between groups. Older adult participants and nurses reported high satisfaction, noting that real-time feedback increased awareness of blood pressure and motivated independent health behavior adjustments.

Conclusions: Self-health monitoring using smart devices integrated with ontology technology effectively improved physiological outcomes and supported self-management in older adults with uncontrolled hypertension. The ontology framework enabled personalized, real-time decision support, highlighting its novelty, and potential to enhance nursing practice. Future studies with larger samples and longer follow-up are recommended to further evaluate the intervention's effectiveness and scalability.

Background: Clinical simulation with standardized patients provides nursing students with their first approach to care in a safe and realistic environment. This type of experience arouses intense emotions and supports the development of key competencies.

Objective: This study aimed to explore the perceptions of nursing students during their first contact with care through simulation experiences with standardized patients.

Methods: We conducted a qualitative descriptive phenomenological study using focus groups and reflective narratives with a sample of 59 students. A thematic analysis was performed using ATLAS.ti (version 24; Scientific Software Development GmbH).

Results: Three thematic blocks, along with their categories and subcategories, were identified: (T1) first contact with simulation, (T2) learning and competencies, and (T3) preparation for clinical practice.

Conclusions: Clinical simulation has a profound impact on nursing education by offering a safe and realistic environment in which to learn from experience. Emotions, teamwork, and human interaction enrich learning and strengthen professional identity. This approach supports the integration of technical knowledge and relational skills. The results support the inclusion of active and humanized methodologies in training plans.

Background: African Americans are disproportionately impacted by congestive heart failure (CHF). The impact includes a two and a half times greater hospitalization rate and a fourth of a day longer length of hospitalization than Caucasians, of which nursing care has been associated with nearly a 30% decrease in hospitalizations and readmissions. Prior studies have demonstrated that registered nurses (RNs), working in conjunction with electronic health record systems (EHRs) to conduct care tasks, may optimize length of stay in African Americans with CHF.

Objective: The objective of the study was to identify the needs of RNs who performed socio-technical tasks, the perceived importance of these socio-technical tasks, and the perceived performance of these tasks by RNs, in relation to the length of stay of their African American patients with CHF.

Methods: The study employed an observational, cross-sectional survey design in RNs who were randomly selected from a total population of 3,498 RNs who provided care to 22,703 African Americans with CHF within 113,543 heart failure hospitalizations between January 1, 2015, and January 1, 2024. The RNs were retrospectively stratified into two groups based on EHR data: those whose African American patients had a mean length of stay of 10 days or less (Group A) and those whose mean length of stay was greater than 10 days (Group B). Descriptive statistics, Cohen's d, and a two-sided unpaired t-test were used to analyze the data.

Results: The total sample of 200 RNs responded to the survey (100% survey completion rate). Group A (100 RNs) reported the least important task as drawing conclusions about how to use the EHR to care for African Americans (Mean=4.66, SD=1.82). The least important task in Group B (100 RNs) was reading published research on African Americans (mean=4.88, SD=1.70). Group A reported performing best in caring for African American patients (Mean=5.61, SD=1.44). Group B reported performing best at caring for all patients (Mean=5.86, SD=1.04). A total of seventeen significant socio-technical needs were identified among groups. Two socio-technical needs were unique to Group B: caring for patients (i.e., the full scope of social and technological processes in nursing care) (Cohen's d=0.32, 95% CI: 0.04,0.59, P=.04) and working with information related to a patient's CHF in the EHR (e.g., laboratory results, discharge summaries, or radiographic images) to care for the patient (Cohen's d=0.33, 95% CI: 0.05,0.61, P=.03).

Conclusions: Lengths of patient stay may be reduced by identifying and addressing socio-technical needs through targeted training, nursing care interventions, and RN-led risk stratification guidelines for working with EHRs to reduce lengths of stay in those who are disproportionately impacted by CHF.

Clinicaltrial: N/a.