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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.
Smoking is a major global health problem. It kills more than half of the users. At least 1.18 billion people smoked cigarettes every day as of 2020. Although many interventions for tobacco smoking cessation have been implemented, their effectiveness remains unclear. This study aimed to assess the long-term effectiveness of various smoking cessation interventions in adults.
We conducted a systematic review and meta-analysis of randomized controlled trials reporting long-term outcomes.
Evidence searches were conducted in the Cochrane Library, Embase, Medline-OVID, PubMed, Web of Science, and Clinicaltrials.gov. Two researchers searched until August 2023 without restrictions on country, language, or year of publication. The risk ratio (RR) for continuous abstinence was obtained through biochemical verification at measurements ≥ 6 months post-intervention. Data were extracted and assessed for quality using Risk of Bias 2. Meta-analysis was carried out using a random effects model. Subgroup analyses and meta-regression were performed to explore moderator variables. Sensitivity and publication bias analyses were also performed.
Twenty-two effect sizes from 13 studies showed that tobacco smoking cessation interventions increased continuous abstinence by 2.5 times (RR 3.52; 95% CI; 2.19–5.65). The highest ratio was in the behavioral intervention (RR 7.83) with more than 6 months of therapy (RR 10.57). The tobacco smoking cessation intervention worked better in 55–64 years (RR 7.29), especially in Asia (RR 10.08). The intervention was more effective for female respondents (RR 4.21) and combination therapy format (RR 3.82). However, meta-regression showed that differences in gender and therapy format did not significantly influence the effectiveness of tobacco smoking cessation interventions in adults (p values 0.2748 and 0.8769). Sensitivity analysis (p-value 0.0025) further strengthens the evidence of the conclusions and credibility of the findings.
Behavioral therapy lasting more than 6 months was the most successful tobacco smoking cessation intervention in respondents aged 55–64 years, especially when implemented in Asia. Although not significant, therapies delivered in combination formats, especially in women, have the potential to increase continuous abstinence for adults. These findings provide important evidence for developing effective prevention and treatment strategies for long-term smoking cessation concerning the type, format, and total of therapy.
Approximately 25% of the Brazilian population suffers from mental disorders, a prevalence exacerbated by systemic and cultural factors such as socioeconomic inequalities, underfunded mental health services, regional disparities, and persistent stigma. These conditions significantly impact hospital care. Nurses, due to their direct contact with these patients, face challenges ranging from managing physical conditions to handling verbal aggression and psychiatric crises. This study aimed to assess the scientific evidence regarding nursing care for hospitalized patients with psychiatric disorders.
A systematic review with a mixed-methods approach was conducted, registered in PROSPERO (#CRD42022359288) and guided by PRISMA standards. Databases, such as MEDLINE, LILACS, PubMed, Web of Science, Scopus, and BDEnf, were searched using keywords like “Mental disorder,” “Psychiatric health,” “Nursing care,” and “Hospital.” Methodological quality was assessed using JBI and SQUIRE tools. The integration of quantitative and qualitative components occurred through meta-aggregation of qualitative data and frequency-based coding of quantitative themes, allowing thematic convergence across study designs.
Six studies were included. Meta-aggregation revealed frequent terms, such as “Nurse,” “Emergency,” “Screening,” “Patient,” and “Care.” Similarity analysis linked “Nurse” with “perception” and “experience” and “Emergency” with “Screening” and “Mental health,” highlighting the importance of experience and training. Five categories emerged: (1) professional experience (19.05%, showing skill gaps despite experience); (2) caring process (19.05%, stressing efficient screening); (3) barriers and challenges (19.05%, revealing difficulty with comorbidities); (4) training process (19.05%, identifying training deficiencies); and (5) therapeutic interventions (23.81%, discussing restraint use). These percentages refer to the proportional frequency of themes identified across the total number of studies analyzed. For thematic classification, only statistically significant chi-square values (p < 0.05) were considered in the grouping of content.
Nursing care for psychiatric patients in hospitals faces challenges like insufficient training and difficulty managing psychiatric comorbidities. Recommendations include incorporating structured mental health content into nursing curricula and hospital-based continuing education programs. These strategies may guide future healthcare policies in Brazil by improving patient safety, reducing hospital readmissions, and promoting more humane, evidence-based therapeutic interventions.
The findings emphasize the urgent need for targeted education and training to improve nursing care for psychiatric patients in hospital settings.
Amid a global nurse staffing crisis, in 2019 Scotland legislated the Health and Care (Staffing) (Scotland) Act to address health care workforce challenges. Instead of requiring patient-to-nurse ratios as legislated elsewhere, this act requires staffing decisions according to guiding principles, duties, and a common staffing method. Measuring variation in hospitals' adherence to the act's provisions at baseline is important for policymakers to evaluate fulfillment of the act's requirements and goals. Results will inform policymakers about which provisions are achieved at baseline and which require support for employers to achieve. The purpose of the study was to establish the baseline of nurse staffing standards in Scotland at April 2024 implementation of the Act. Nurse reports of quality, safety, and their intent to leave were measured to complement assessment of the implementation status.
A cross-sectional study design was used. A convenience sample of registered nurses and nursing support workers was recruited through professional organizations and trade unions. Nurses were invited to complete an online survey between May 1 and July 31, 2024. The survey content included demographic and professional characteristics, international nursing metrics, the Act's provisions, and job intentions. Descriptive statistics were calculated to describe the sample, act's provisions, and nurses' job intentions.
The sample comprised 1870 nurses, of whom 93% were registered nurses, from all regions with characteristics reflecting the Scottish nursing workforce. Regarding the act's provisions, 9% reported that nursing staffing is appropriate to provide safe, high-quality care every shift. Similarly, few nurses reported that the quality of care was excellent (17%) or graded safety an A (10%). Most nurses disagreed that current staffing levels met the eight guiding principles. Most nurses reported that the common staffing method and duties regarding real-time staffing decisions were followed at best occasionally. Nearly half of nurses (45%) intend to stay in their current job over the next year. Among those intending to leave their current job, about half plan to leave the profession through retirement or another unspecified job change. The other half plan to seek another similar nursing job or promotion.
Few nurses report that the act's overarching goal is being met at the point of implementation. Although most nurses see nursing as a long-term career, workforce disruption is anticipated through routine turnover, promotion, or retirement, requiring workforce retention policies. Whether the act's complex provisions can be achieved and its goals fulfilled may not reverse the trend of exiting nurses. The complexity of the approach will be a challenge to achieving the objective of safe staffing. Therefore, this approach to achieving safe staffing may be too complex to be recommended widely. These remain urgent questions for Scottish policymakers, nurse leaders, and researchers.
Family caregivers of children receiving pediatric palliative care (PPC) play a crucial role in their care and wellbeing, especially during the early stages of life.
To explore the experience of family caregivers of children aged 1–23 months who are receiving pediatric palliative care (PPC).
A systematic review of qualitative studies was conducted using the databases PubMed, Scopus, Web of Science, CINAHL, PsycINFO, and Cuiden. The studies were appraised using the Critical Appraisal Skills Programme tool. The selected studies were synthesized using Noblit and Hare's meta-ethnographic method.
Eleven studies, 169 themes, 36 metaphors and four main themes were identified. Caregivers develop coping strategies related to meaning-making, faith, maintaining hope, and decision-making abilities. They perceive limited time with the child due to structural constraints and the child's deteriorating health, which sometimes prevents them from recognizing their child's identity. Caregivers strive to remain united and rebuild the daily family life they long for, but face challenges related to self-care, maintaining employment, and caring for siblings and their partner. In many cases, they are unsatisfied with the care they receive, attributed to a lack of technical training and understanding of the principles of pediatric palliative care (PPC) by healthcare staff, poor communication skills, and inadequate coordination. Caregivers highlight the role of nurses and the PPC team, advanced care planning, and post-mortem care as positive aspects.
Caregivers' experiences reveal coping strategies, active decision-making, constant challenges, healthcare interactions, and a need for improved comprehensive support.
This study underscores the importance of addressing the unique needs of family caregivers of children aged 1–23 months receiving pediatric palliative care (PPC), highlighting their struggles with social isolation, neglected self-care, and disrupted family life. Healthcare providers should prioritize age-specific approaches to PPC, focusing on improving communication, care coordination, and understanding of palliative care principles to better support these caregivers.
Menopause is associated with significant physical, psychosocial, and emotional changes that can negatively affect women's quality of life (QoL). In response to this, psychological interventions like mindfulness-based interventions have shown promise in alleviating menopausal symptoms and improving psychological well-being.
A comprehensive randomized controlled trial was conducted from May to August 2024 at Damanhour University, Egypt. One hundred and twenty menopausal women were randomly assigned to either the intervention group (n = 60), which participated in seven mindfulness sessions, or the control group (n = 60), which received general health education. Pre and postintervention data were collected using the Menopause-Specific QoL questionnaire, the Depression Anxiety Stress Scale-21, and the Mindful Attention Awareness Scale. Independent samples t-tests were performed to compare groups, while paired t-tests assessed within-group changes post-intervention. Effect sizes were calculated using Cohen's d, ensuring a robust and reliable data analysis.
The intervention group showed significant improvements across all domains of menopause-specific QoL, including vasomotor (d = 0.788, p < 0.01), psychosocial (d = 1.042, p < 0.01), physical (d = 0.809, p < 0.01), and sexual (d = 0.794, p < 0.01). Additionally, significant reductions were observed in anxiety (d = 1.221, p < 0.01), stress (d = 1.030, p < 0.01), and depression (d = 0.880, p < 0.01), along with a significant increase in mindfulness (d = 1.335, p < 0.01) postintervention.
The MBIS significantly improved menopause-specific QoL and reduced anxiety, stress, and depression while enhancing mindfulness in menopausal women. These findings suggest that mindfulness-based interventions could be game changers in managing menopausal symptoms and improving overall psychological well-being, offering hope for a better QoL for menopausal women.
The research will primarily impact healthcare providers working with menopausal women, particularly those offering psychological support or nonpharmacological treatments. It also impacts menopausal women themselves by providing evidence-based intervention options that could alleviate menopausal symptoms. Furthermore, researchers and policymakers focusing on women's health and mental well-being may use these findings to inform future studies and healthcare strategies.
Women from Damanhur University.
This trial was registered with the ClinicalTrials.gov database under the registration number NCT06421909
To determine the correlation between preoperative health education and the emotions of lung cancer patients, artificial intelligence software was used.
This was a cross-sectional study.
This study included 210 lung cancer patients from Sun Yat-sen University Cancer Center and examined the impact of health education on patient emotions using an AI-based emotion analysis tool.
This study indicated a significant relationship between the tone and emotional content of health education materials and patient emotions. Specifically, educational materials with an explanatory tone and negative sentiment appeared to impact patients' emotional states.
Quality improvements in health education can potentially benefit lung cancer patients' emotional well-being by minimizing the use of both explanatory tone and negative sentiment in educational content.
This research suggests that the careful crafting of health education materials, taking into consideration tone and emotional expressions, can have a tangible positive effect on the emotional state of lung cancer patients.
The study was reported in accordance with the STROBE guidelines.
No patients, service users, caregivers, or members of the public were involved in the design, conduct, collection, analysis, or interpretation of the data for this study, nor were they involved in writing the manuscript.
Little is known about the range and frequency of symptoms among older adult home healthcare patients with urinary incontinence, as this information is predominantly contained in clinical notes. Natural language processing can uncover symptom information among older adults with urinary incontinence to promote holistic, equitable care.
We conducted a secondary analysis of cross-sectional data collected between January 1, 2015, and December 31, 2017, from the largest HHC agency in the Northeastern United States. We aimed to develop and test a natural language processing algorithm to extract symptom information from clinical notes for older adults with urinary incontinence and analyze differences in symptom documentation by race or ethnicity.
Symptoms were identified through expert clinician-driven Delphi survey rounds. We developed a natural language processing algorithm for symptom identification in clinical notes, examined symptom documentation frequencies, and analyzed differences in symptom documentation by race or ethnicity using chi-squared tests and logistic regression models.
In total, 39,179 home healthcare episodes containing 1,098,419 clinical notes for 29,981 distinct patients were included. Nearly 40% of the sample represented racially or ethnically minoritized groups (i.e., 18% Black, 14% Hispanic, 7% Asian/Pacific Islander, 0.3% multi-racial, and 0.2% Native American). Based on expert clinician-driven Delphi survey rounds, the following symptoms were identified: anxiety, dizziness, constipation, syncope, tachycardia, urinary frequency/urgency, urinary hesitancy/retention, and vision impairment/blurred vision. The natural language processing algorithm achieved excellent performance (average precision of 0.92). Approximately 29% of home healthcare episodes had symptom information documented. Compared to home healthcare episodes for White patients, home healthcare episodes for Asian/Pacific Islander (odds ratio = 0.74, 95% confidence interval [0.67–0.80], p < 0.001), Black (odds ratio = 0.69, 95% confidence interval [0.64–0.73], p < 0.001), and Hispanic (odds ratio = 0.91, 95% confidence interval [0.85–0.97], p < 0.01) patients were less likely to have any symptoms documented in clinical notes.
We found multidimensional symptoms and differences in symptom documentation among a diverse cohort of older adults with urinary incontinence, underscoring the need for comprehensive assessments by clinicians. Future research should apply natural language processing to other data sources and investigate symptom clusters to inform holistic care strategies for diverse populations.
Knowledge of symptoms of older adult home healthcare patients with urinary incontinence can facilitate comprehensive assessments, health equity, and improved outcomes.
The healthcare industry increasingly values high-quality and personalized care. Patients with heart failure (HF) receiving home health care (HHC) often experience hospitalizations due to worsening symptoms and comorbidities. Therefore, close symptom monitoring and timely intervention based on risk prediction could help HHC clinicians prevent emergency department (ED) visits and hospitalizations. This study aims to (1) describe important variables associated with a higher risk of ED visits and hospitalizations in HF patients receiving HHC; (2) map data requirements of a clinical decision support (CDS) tool to the exchangeable data standard for integrating a CDS tool into the care of patients with HF; (3) outline a pipeline for developing a real-time artificial intelligence (AI)-based CDS tool.
We used patient data from a large HHC organization in the Northeastern US to determine the factors that can predict ED visits and hospitalizations among patients with HF in HHC (9362 patients in 12,223 care episodes). We examined vital signs, HHC visit details (e.g., the purpose of the visit), and clinical note–derived variables. The study identified critical factors that can predict ED visits and hospitalizations and used these findings to suggest a practical CDS tool for nurses. The tool's proposed design includes a system that can analyze data quickly to offer timely advice to healthcare clinicians.
Our research showed that the length of time since a patient was admitted to HHC and how recently they have shown symptoms of HF were significant factors predicting an adverse event. Additionally, we found this information from the last few HHC visits before the occurrence of an ED visit or hospitalization were particularly important in the prediction. One hundred percent of clinical demographic profiles from the Outcome and Assessment Information Set variables were mapped to the exchangeable data standard, while natural language processing–driven variables couldn't be mapped due to their nature, as they are generated from unstructured data. The suggested CDS tool alerts nurses about newly emerging or rising risks, helping them make informed decisions.
This study discusses the creation of a time-series risk prediction model and its potential CDS applications within HHC, aiming to enhance patient outcomes, streamline resource utilization, and improve the quality of care for individuals with HF.
This study provides a detailed plan for a CDS tool that uses the latest AI technology designed to aid nurses in their day-to-day HHC service. Our proposed CDS tool includes an alert system that serves as a guard rail to prevent ED visits and hospitalizations. This tool can potentially improve how nurses make decisions and improve patient outcomes by providing early warnings about ED visits and hospitalizations.
To identify the current presence of stereotypes about the nursing profession in Italy and to understand how gendered processes and modalities are regulated and expressed in the physician-nurse dyad, and the implications for professional identity and autonomy.
Qualitative multimethod design.
Forty-five interviews were conducted with nurses and physicians. The collected qualitative data underwent automatic textual data analysis using a multidimensional exploratory approach and a gender framework analysis.
In Italy, nurses' roles are still associated with gender stereotypes stemming from the predominant male culture, which affects sexual and gender identity, the division of labor, and access to career paths. This leads to disadvantages in the nursing profession, which is heavily dominated by women.
Biological differences between sexes generate an unconscious yet shared symbolic gender order composed of negative stereotypes that influence nurses' professional roles and activities. They follow behaviors that enter the work routine and institutionalize organizational processes. These effects are also seen in the asymmetric, limited, and reciprocal interprofessional relationships between male physicians and female nurses, where the former hinders the latter's professional autonomy and access to top positions.
This survey raises awareness of gender issues and stimulates reflection. It also enables health and nursing organizations to take action to raise gender awareness and education by countering the image of a non-autonomous profession. The analysis of gender processes allows us to identify interventions that can counteract forms of oppression in the work environment that lead to the emergence of nursing as a non-autonomous profession.
Vaccine hesitancy is a complex issue of global concern. As nurses play a vital role in delivering patient care and shaping public opinions on vaccines, interventions to address vaccine hesitancy in nursing are imperative. As such, identifying profiles of characteristics and attitudes contributing to hesitancy may help identify specific areas of focus to target tailored global vaccination uptake campaigns. The purpose of this study was to profile the characteristics and attitudes contributing to hesitancy toward COVID-19 and Influenza vaccines in the nursing community.
This multisite, cross-sectional study recruited 1967 registered nurses and 1230 nursing students from the United Kingdom, Finland, and Italy between March and September 2023.
Data collection involved an online survey adopting the Vaccination Attitudes Examination (VAX) Scale, the Bergen Social Media Addiction Scale, and questions pertaining to sociodemographic and occupational characteristics. A k-means cluster analysis was used to identify various clusters of hesitancy based on the VAX Scale. One-way ANOVA and chi-square tests were used to identify significant differences in sociodemographic characteristics, occupational factors, vaccination attitudes, and social media usage between the clusters.
Three distinct clusters were identified. Profile A showed high vaccine confidence, profile B displayed slight hesitancy, and profile C reported high levels of hesitancy. In profile C, higher levels of vaccine hesitancy were identified in younger, less experienced nurses with lower educational attainment. While older nurses with higher educational attainment, who were in senior roles, were more vaccine-confident and had a consistent history of accepting the Influenza and COVID-19 vaccinations (profile A). The study found Italian nurses highly hesitant (profile C), British nurses highly confident (profile A), and Finnish nurses evenly distributed between confident, slightly hesitant, and highly hesitant (profiles A, B, and C, respectively). In addition, more frequent usage of Instagram and TikTok was associated with vaccine hesitancy (profiles B and C), and LinkedIn and X were more common among vaccine-confident individuals (profile A).
This study has identified specific sociodemographic and occupational factors that are related to vaccine hesitancy in an international sample of nurses. Additionally, attitudes contributing to hesitancy were identified, with worries about unforeseen future effects of the vaccine being identified as a critical attitude that may undermine confidence and increase hesitancy in nursing. This study also sheds light on the influence that social media platforms have on vaccine hesitancy and, as such, indicates which platforms are effective to disseminate vaccination campaigns to global nursing communities.
Global vaccination campaigns should focus on specific profiles and clusters to promote vaccination in the international nursing community. Empowering nurses early in their careers will help to instill positive vaccination behaviors, ensuring a sustained uptake of vaccinations throughout the individual's career and beyond, with an impact on promoting vaccination at the public health level as well.
Home healthcare (HHC) enables patients to receive healthcare services within their homes to manage chronic conditions and recover from illnesses. Recent research has identified disparities in HHC based on race or ethnicity. Social determinants of health (SDOH) describe the external factors influencing a patient's health, such as access to care and social support. Individuals from racially or ethnically minoritized communities are known to be disproportionately affected by SDOH. Existing evidence suggests that SDOH are documented in clinical notes. However, no prior study has investigated the documentation of SDOH across individuals from different racial or ethnic backgrounds in the HHC setting. This study aimed to (1) describe frequencies of SDOH documented in clinical notes by race or ethnicity and (2) determine associations between race or ethnicity and SDOH documentation.
Retrospective data analysis.
We conducted a cross-sectional secondary data analysis of 86,866 HHC episodes representing 65,693 unique patients from one large HHC agency in New York collected between January 1, 2015, and December 31, 2017. We reported the frequency of six SDOH (physical environment, social environment, housing and economic circumstances, food insecurity, access to care, and education and literacy) documented in clinical notes across individuals reported as Asian/Pacific Islander, Black, Hispanic, multi-racial, Native American, or White. We analyzed differences in SDOH documentation by race or ethnicity using logistic regression models.
Compared to patients reported as White, patients across other racial or ethnic groups had higher frequencies of SDOH documented in their clinical notes. Our results suggest that race or ethnicity is associated with SDOH documentation in HHC.
As the study of SDOH in HHC continues to evolve, our results provide a foundation to evaluate social information in the HHC setting and understand how it influences the quality of care provided.
The results of this exploratory study can help clinicians understand the differences in SDOH across individuals from different racial and ethnic groups and serve as a foundation for future research aimed at fostering more inclusive HHC documentation practices.
Investigations about the interrelationships of nurses' safety climate, quality of care, and standard precautions (SP) adherence and compliance remain particularly scarce in the literature. Thus, we tested a model of the associations between nurses' safety climate, quality of care, and the factors influencing adherence and compliance with SPs utilizing the structural equation modeling (SEM) approach.
Cross-sectional design complying with STROBE guidelines.
Using convenience sampling, nurses (n = 730) from the Philippines were recruited. Data were collected between April and September 2022 using four validated self-report measures. Spearman Rho, mediation and path analyses, and SEM were employed for data analysis.
Acceptable model fit indices were shown by the emerging model. The safety climate is positively associated with quality of care and factors influencing adherence to and compliance with SPs. Quality of care directly affected factors influencing adherence to SPs. The factors influencing adherence to SPs directly affected SP compliance. Quality of care mediated between safety climate and the factors influencing adherence to SPs. Factors influencing adherence to SPs mediated between safety climate, quality of care, and SP compliance.
The study's variables are not distinct but overlapping nursing concepts that must be examined collectively. Nurse administrators can utilize the emerging model to formulate strategies and regulations for evaluating and enhancing nurses' safety climate, quality of care, and SP adherence and compliance.
Our findings may impact policymaking, organizational, and individual levels to improve nurses' clinical practice.
This study had no patient contribution or public funding.
The output of scholarly publications in scientific literature has increased exponentially in recent years. This increase in literature has been accompanied by an increase in retractions. Although some of these may be attributed to publishing errors, many are the result of unsavory research practices. The purposes of this study were to identify the number of retracted articles in nursing and reasons for the retractions, analyze the retraction notices, and determine the length of time for an article in nursing to be retracted.
This was an exploratory study.
A search of PubMed/MEDLINE, the Cumulative Index to Nursing and Allied Health Literature, and Retraction Watch databases was conducted to identify retracted articles in nursing and their retraction notices.
Between 1997 and 2022, 123 articles published in the nursing literature were retracted. Ten different reasons for retraction were used to categorize these articles with one-third of the retractions (n = 37, 30.1%) not specifying a reason. Sixty-eight percent (n = 77) were retracted because of an actual or a potential ethical concern: duplicate publication, data issues, plagiarism, authorship issues, and copyright.
Nurses rely on nursing-specific scholarly literature as evidence for clinical decisions. The findings demonstrated that retractions are increasing within published nursing literature. In addition, it was evident that retraction notices do not prevent previously published work from being cited. This study addressed a gap in knowledge about article retractions specific to nursing.
To explore the impact of 12 American Nurses Association recognized standardized nursing terminologies (SNTs) on patient and organizational outcomes.
Previous studies reported an effect of SNTs on outcomes, but no previous frameworks nor meta-analyses were found.
Systematic review and meta-analyses.
PubMed, Scopus, CINAHL, and OpenGrey databases were last consulted in July 2021. All abstracts and full texts were screened independently by two researchers. The review included primary quantitative studies that reported an association between recognized SNTs and outcomes. Two reviewers independently assessed the risk of bias and certainty of evidence for each meta-analyzed outcome using the “Grading of Recommendations, Assessment, Development and Evaluation” (GRADE) approach.
Fifty-three reports were included. NANDA-NIC-NOC and Omaha System were the most frequently reported SNTs used in the studies. Risk of bias in randomized controlled trials and not-randomized controlled trials ranged from high to unclear, this risk was low in cross-sectional studies. The number of nursing diagnoses NANDA-I moderately correlated with the intensive care unit length of stay (r = 0.38; 95% CI = 0.31–0.44). Using the Omaha System nurse-led transitional care program showed a large increase in both knowledge (d = 1.21; 95% CI = 0.97–1.44) and self-efficacy (d = 1.23; 95% CI = 0.97–1.48), while a reduction on the readmission rate (OR = 0.46; 95% CI = 0.09–0.83). Nursing diagnoses were found to be useful predictors for organizational (length of stay) and patients' outcomes (mortality, quality of life). The GRADE indicated that the certainty of evidence was rated from very low to low.
Studies using SNTs demonstrated significant improvement and prediction power in several patients' and organizational outcomes. Further high-quality research is required to increase the certainty of evidence of these relationships.
SNTs should be considered by healthcare policymakers to improve nursing care and as essential reporting data about patient's nursing complexity to guide reimbursement criteria.
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