Conectar
To comprehend the current research hotspots and emerging trends in big data research within the global nursing domain.
Bibliometric analysis.
The quality articles for analysis indexed by the science core collection were obtained from the Web of Science database as of February 10, 2023.The descriptive, visual analysis and text mining were realized by CiteSpace and VOSviewer.
The research on big data in the nursing field has experienced steady growth over the past decade. A total of 45 core authors and 17 core journals around the world have contributed to this field. The author's keyword analysis has revealed five distinct clusters of research focus. These encompass machine/deep learning and artificial intelligence, natural language processing, big data analytics and data science, IoT and cloud computing, and the development of prediction models through data mining. Furthermore, a comparative examination was conducted with data spanning from 1980 to 2016, and an extended analysis was performed covering the years from 1980 to 2019. This bibliometric mapping comparison allowed for the identification of prevailing research trends and the pinpointing of potential future research hotspots within the field.
The fusion of data mining and nursing research has steadily advanced and become more refined over time. Technologically, it has expanded from initial natural language processing to encompass machine learning, deep learning, artificial intelligence, and data mining approach that amalgamates multiple technologies. Professionally, it has progressed from addressing patient safety and pressure ulcers to encompassing chronic diseases, critical care, emergency response, community and nursing home settings, and specific diseases (Cardiovascular diseases, diabetes, stroke, etc.). The convergence of IoT, cloud computing, fog computing, and big data processing has opened new avenues for research in geriatric nursing management and community care. However, a global imbalance exists in utilizing big data in nursing research, emphasizing the need to enhance data science literacy among clinical staff worldwide to advance this field.
This study focused on the thematic trends and evolution of research on the big data in nursing research. Moreover, this study may contribute to the understanding of researchers, journals, and countries around the world and generate the possible collaborations of them to promote the development of big data in nursing science.
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.
Research on structural empowerment has typically adopted a variable-centered perspective, which is not ideal to study the combined effects of structural empowerment components. This person-centered investigation aims to enhance our knowledge about the configurations, or profiles, of healthcare employees' perceptions of the structural empowerment dimensions present in their workplace (opportunity, information, support, and resources). Furthermore, this study considers the replicability and stability of these profiles over a period of 2 years, and their outcomes (perceived quality of care, and positive and negative affect).
Participants completed the same self-reported questionnaires twice, 2 years apart.
A sample of 633 healthcare employees (including a majority of nurses and nursing assistants) participated. Latent transition analyses were performed.
Five profiles were identified: Low Empowerment, High Information, Normative, Moderately High Empowerment, and High Empowerment. Membership into the Normative and Moderately High Empowerment profiles demonstrated a high level of stability over time (79.1% to 83.2%). Membership in the other profiles was either moderately stable (43.5% for the High Empowerment profile) or relatively unstable (19.7% to 20.4% for the Low Empowerment and High Information profiles) over time. More desirable outcomes (i.e., higher positive affect and quality of care, and lower negative affect) were observed in the High Empowerment profile.
These results highlight the benefits of high structural empowerment, in line with prior studies suggesting that structural empowerment can act as a strong organizational resource capable of enhancing the functioning of healthcare professionals. These findings additionally demonstrate that profiles characterized by the highest or lowest levels of structural empowerment were less stable over time than those characterized by more moderate levels.
From an intervention perspective, organizations and managers should pay special attention to employees perceiving low levels of structural empowerment, as they experience the worst outcomes. In addition, they should try to maintain high levels of structural empowerment within the High Empowerment profile, as this profile is associated with the most desirable consequences. Such attention should be fruitful, considering the instability of the High Empowerment and Low Empowerment profiles over time.
NCT04010773 on ClinicalTrials.gov (4 July, 2019).
Intimate partner violence (IPV) is associated with multiple adverse health consequences. Nurses (including midwives) are well positioned to identify patients subjected to IPV, and provide care, support, and referrals. However, studies about nursing response to IPV are limited especially in low- and middle-income countries (LMICs). The study aimed to examine nurses' perceived preparedness and opinions toward IPV and to identify barriers and facilitators in responding to IPV.
An explanatory sequential mixed-methods study was conducted by collecting quantitative data first and explaining the quantitative findings with qualitative data.
The study was conducted in two tertiary general hospitals in northeastern (Shenyang city) and southwestern (Chengdu city) China with 1500 and 1800 beds, respectively. A total of 1071 survey respondents (1039 female [97.0%]) and 43 interview participants (34 female [79.1%]) were included in the study. An online survey was administered from September 3 to 23, 2020, using two validated scales from the Physician Readiness to Manage Intimate Partner Violence Survey. In-depth, semistructured interviews were conducted from September 15 to December 23, 2020, guided by the Consolidated Framework for Implementation Research.
The survey respondents largely agreed with feeling prepared to manage IPV, e.g., respond to discourses (544 [50.8%] of 1071) and report to police (704 [65.7%] of 1071). The findings of surveyed opinions (i.e., Response competencies; Routine practice; Actual activities; Professionals; Victims; Alcohol/drugs) were mixed and intertwined with social desirability bias. The quantitative and qualitative data were consistent, contradicted, and supplemented. Key qualitative findings were revealed that may explain the quantitative results, including lack of actual preparedness, absence of IPV-related education, training, or practice, and socially desirable responses (especially those pertaining to China's Anti-domestic Violence Law). Commonly reported barriers (e.g., patients' reluctance to disclose; time constraints) and facilitators (e.g., patients' strong need for help; female nurses' gender advantage), as well as previously unreported barriers (e.g., IPV may become a workplace taboo if there are healthcare professionals known as victims/perpetrators of IPV) and facilitators (e.g., nurses' responses can largely meet the first-line support requirements even without formal education or training on IPV) were identified.
Nurses may play a unique and important role in responding to IPV in LMICs where recognition is limited, education and training are absent, policies are lacking, and resources are scarce. Our findings support World Health Organization recommendations for selective screening.
The study highlights the great potential of nurses for IPV prevention and intervention especially in LMICs. The identified barriers and facilitators are important evidence for developing multifaceted interventions to address IPV in the health sector.
The exploration of conceptual equivalence within the process of the cross-cultural adaptation of tools is usually neglected as it generally assumed that the theoretical construct of a tool is conceptualized in the same way in both the original and target culture. This article attempts to throw light on the contribution of the evaluation of conceptual equivalence to the process of adaptation, and for tool development. To illustrate this premise, the example of the cross-cultural adaptation of the Patients' Perception of Feeling Known by their Nurses (PPFKN) Scale is presented.
An adapted version of the Sousa and Rojjanasrirat (Journal of Evaluation in Clinical Practice, 2011, 17(2), 268–274) guidelines was used to translate and culturally adapt the PPFKN Scale to Spanish language and culture. A qualitative descriptive study was added to the traditional process of translation and pilot study to explore the concept in the target culture and recognize conceptual equivalence.
Experts in the tool concept, bilingual translators and the author of the tool participated in the translation of the original tool into Spanish. A pilot study of the Spanish version with a sample of 44 patients and a panel of six experts from different fields evaluated its clarity and relevance. In addition, seven patients participated in a descriptive qualitative study using semi-structured individual interviews to explore the phenomenon in the new culture. A content analysis following the Miles, Huberman & Saldaña (Qualitative data analysis, a methods sourcebook, 2014) approach was used to analyze qualitative data.
The cross-cultural translation and adaptation of the PPFKN scale into Spanish required a thorough revision. More than half of the items needed discussions to reach consensus regarding the most appropriate Spanish term. In addition, the study confirmed the four attributes of the concept identified in the American context and allowed for new insights within those attributes to appear. Those aspects reflected characteristics of the phenomenon of being known in the Spanish context and were added to the tool in the format of 10 new items.
A comprehensive cross-cultural adaptation of tools should incorporate, together with the study of linguistic and semantic equivalence, the analysis of the conceptual equivalence of the phenomenon in both contexts. The identification, acknowledgment and study of the conceptual differences between two cultures in relation to a phenomenon becomes an opportunity for deeper study of the phenomenon in both cultures, for understanding of their richness and depth, and for the proposal of changes that may enhance the content validity of the tool.
The evaluation of conceptual equivalence of tools within the process of cross-cultural adaptation will make it possible for target cultures to rely on tools both theoretically sound and significant. Specifically, the cross-cultural adaptation of the PPFKN scale has facilitated the design of a Spanish version of the tool that is linguistically, semantically and theoretically congruent with Spanish culture. The PPFKN Scale is a powerful indicator that evidences nursing care contribution to the patient's experience.
Existing literature suggests that transgender women (TW) may be at high risk for adverse mental health due to stress attributed to combined experiences of stigma and complex social and structural vulnerabilities. Little research has examined how these co-occurring experiences relate to mental health. We aimed to test a theoretically driven conceptual model of relationships between stigma, social and structural vulnerabilities, and mental health to inform future intervention tailoring.
Partial least square path modeling followed by response-based unit segmentation was used to identify homogenous clusters in a diverse community sample of United States (US)-based TW (N = 1418; 46.2% White non-Hispanic). This approach examined associations between latent constructs of stigma (polyvictimization and discrimination), social and structural vulnerabilities (housing and food insecurity, unemployment, sex work, social support, and substance use), and mental health (post-traumatic stress and psychological distress).
The final conceptual model defined the structural relationship between the variables of interest within stigma, vulnerability, and mental health. Six clusters were identified within this structural framework which suggests that racism, ethnicism, and geography may be related to mental health inequities among TW.
Our findings around the impact of racism, ethnicism, and geography reflect the existing literature, which unfortunately shows us that little change has occurred in the last decade for TW of color in the Southern US; however, the strength of our evidence (related to sampling structure and sample size) and type of analyses (accounting for co-occurring predictors of health, i.e., stigma and complex vulnerabilities, reflecting that of real-world patients) is a novel and necessary addition to the literature. Findings suggest that health interventions designed to offset the negative effects of stigma must include anti-racist approaches with components to reduce or eliminate barriers to resources that contribute to social and structural vulnerabilities among TW. Herein we provide detailed recommendations to guide primary, secondary, and tertiary prevention efforts.
This study demonstrated the importance of considering stigma and complex social and structural vulnerabilities during clinical care and design of mental health interventions for transgender women who are experiencing post-traumatic stress disorder and psychological distress. Specifically, interventions should take an anti-racist approach and would benefit from incorporating social support-building activities.
FreshRSS 