Conectar
by Se Min Kim, Namu Park, Hye Bin Park, JuKyung Lee, Changho Chun, Kyung Hoon Kim, Jong Seob Choi, Hyung Jin Kim, Sekyu Choi, Jung Hyun Lee
Triple-negative breast cancer (TNBC) demands urgent attention for the development of effective treatment strategies due to its aggressiveness and limited therapeutic options [1]. This research is primarily focused on identifying new biomarkers vital for immunotherapy, with the aim of developing tailored treatments specifically for TNBC, such as those targeting the PD-1/PD-L1 pathway. To achieve this, the study places a strong emphasis on investigating Ig genes, a characteristic of immune checkpoint inhibitors, particularly genes expressing Ig-like domains with altered expression levels induced by "cancer deformation," a condition associated with cancer malignancy. Human cells can express approximately 800 Ig family genes, yet only a few Ig genes, including PD-1 and PD-L1, have been developed into immunotherapy drugs thus far. Therefore, we investigated the Ig genes that were either upregulated or downregulated by the artificial metastatic environment in TNBC cell line. As a result, we confirmed the upregulation of approximately 13 Ig genes and validated them using qPCR. In summary, our study proposes an approach for identifying new biomarkers applicable to future immunotherapies aimed at addressing challenging cases of TNBC where conventional treatments fall short.Social media use has grown in importance and prevalence, with its estimated number of users at 4.9 billion worldwide. Social media use research has revealed positive and negative impacts on users' mental health and well-being. However, such impacts among adults have not been examined in any reviews.
A scoping review was conducted based on the framework by Arksey and O'Malley and reported based on the PRISMA-ScR guidelines. Eight databases were searched from 2005 to December 2021. Articles were included after being reviewed by three independent teams, with discrepancies resolved through consensus with the senior author. Publication-related information (i.e., authors, year of publication, aims, study population, methodology, interventions, comparisons, outcome measures and key findings) were extracted from each study. Thematic analysis was conducted to answer the research questions.
Among the 114 eligible articles, young adults (69.6%) represented the main age group. Most studies (78.6%) focused on the negative impacts of social media use on mental health and well-being, with nearly a third (32.1%) assessing such impacts on depression. Notably, this scoping review found that more than three-quarters (78.6%) of the included studies revealed that excessive and passive social media use would increase depression, anxiety, mood, and loneliness. Nevertheless, a third (33.0%) also reported positive impacts, where positive and purposeful use of social media would contribute to improvements in mental health and well-being, such as increased perceived social support and enjoyment.
This review has provided an overview of the existing knowledge on how social media use would affect adults and identified areas of research that merit investigations in future studies. More attention should be given to maximizing the positive impacts of social media use on mental health and well-being among adults.
To investigate spillover effects of organizational support for patient and workplace safety on safety outcomes and to examine the mediating role of safety compliance in these relationships.
A cross-sectional, correlational survey design.
This study analysed data from 1255 nurses in 34 Korean hospitals. A structured questionnaire was used including items from the Hospital Survey on Patient Safety Culture and Safety Compliance scales. Data were collected between February and June 2022. We employed structural equation modelling (SEM) for analysis with a significance level set at 0.05.
Organizational support for patient and workplace safety showed direct impacts on patient and workplace safety outcomes. Findings supported our hypotheses regarding spillover effects, as organizational support for patient safety was related to enhanced workplace safety and organizational support for workplace safety was associated with improved patient safety. SEM analysis showed safety compliance's mediating role. When the distribution of serial indirect effects was examined, three out of eight indirect pathways were statistically significant.
Improving organizational support for patient safety can lead to better workplace safety outcome, and enhancing support for workplace safety can result in better patient safety outcome. Given this mutually beneficial relationship, healthcare organizations should simultaneously promote safety in both areas rather than focusing on just one.
Study results highlight the need to recognize the interconnected nature of patient and workplace safety in order to achieve better overall safety outcomes.
This study shows that organizational safety efforts for patients and workers are interconnected and mutually beneficial. The study's results have both theoretical and practical implications in demonstrating that organizational support for both patient and workplace safety plays a strong role in promoting nurses' safety compliance and improving overall safety outcomes.
STROBE checklist.
No patient or public contribution.
This study aims to investigate the epidemiological characteristics of COVID-19 infection among healthcare workers, including the severity, duration of infection, post-infection symptoms and related influencing factors.
A self-administered questionnaire was utilized to assess the post-infection status of primary healthcare workers in Jiangsu Province. The questionnaire collected information on demographic characteristics, lifestyle habits, post-infection clinical manifestations, work environment and recovery time of the respondents. Customized outcome events were selected as dependent variables and logistic regression models were employed to analyse the risk factors. Phi-coefficient was used to describe the relationship between post-infection symptoms.
The analysis revealed that several factors, such as female, older age, obesity, previous medical history, exposure to high-risk environments and stress, were associated with a higher likelihood of experiencing more severe outcomes. On the other hand, vaccination and regular exercise were found to contribute to an earlier resolution of the infection. Among the post-infection symptoms, cough, malaise and muscle aches were the most frequently reported. Overall, there was a weak association among symptoms persisting beyond 14 days, with only cough and malaise, malaise and dizziness and headache showing a stronger correlation.
The study findings indicate that the overall severity of the first wave of infection, following the complete lifting of restrictions in China, was low. The impact on primary healthcare workers was limited, and the post-infection symptoms exhibited similarity to those observed in other countries. It is important to highlight that these conclusions are specifically relevant to the population infected with the Omicron variant.
This study helps to grasp the impacts of the first wave of COVID-19 infections on healthcare workers in China after the national lockdown was lifted.
Primary healthcare workers in Jiangsu Province, including doctors, nurses, pharmacists and other personnel from primary healthcare units such as community health service centres and health centres.
Cancer screening is a pivotal method for reducing mortality from disease, but the screening coverage is still lower than expected. Telehealth interventions demonstrated significant benefits in cancer care, yet there is currently no consensus on their impact on facilitating cancer screening or on the most effective remote technology.
A network meta-analysis was conducted to detect the impact of telehealth interventions on cancer screening and to identify the most effective teletechnologies.
Six English databases were searched from inception until July 2023 to yield relevant randomized controlled trials (RCTs). Two individual authors completed the literature selection, data extraction, and methodological evaluations using the Cochrane Risk of Bias tool. Traditional pairwise analysis and network meta-analysis were performed to identify the overall effects and compare different teletechnologies.
Thirty-four eligible RCTs involving 131,644 participants were enrolled. Overall, telehealth interventions showed statistically significant effects on the improvement of cancer screening. Subgroup analyses revealed that telehealth interventions were most effective for breast and cervical cancer screening, and rural populations also experienced benefits, but there was no improvement in screening for older adults. The network meta-analysis indicated that mobile applications, video plus telephone, and text message plus telephone were associated with more obvious improvements in screening than other teletechnologies.
Our study identified that telehealth interventions were effective for the completion of cancer screening and clarified the exact impact of telehealth on different cancer types, ages, and rural populations. Mobile applications, video plus telephone, and text message plus telephone are the three forms of teletechnologies most likely to improve cancer screening. More well-designed RCTs involving direct comparisons of different teletechnologies are needed in the future.
Telehealth interventions should be encouraged to facilitate cancer screening, and the selection of the optimal teletechnology based on the characteristics of the population is also necessary.
As of now, a model for predicting the survival of patients with out-of-hospital cardiac arrest has not been established. This study aimed to develop a model for identifying predictors of survival over time in patients with out-of-hospital cardiac arrest during their stay in the emergency department, using ensemble-based machine learning. A total of 26 013 patients from the Korean nationwide out-of-hospital cardiac arrest registry were enrolled between January 1 and December 31, 2019. Our model, comprising 38 variables, was developed using the Survival Quilts model to improve predictive performance. We found that changes in important variables of patients with out-of-hospital cardiac arrest were observed 10 minutes after arrival at the emergency department. The important score of the predictors showed that the influence of patient age decreased, moving from the highest rank to the fifth. In contrast, the significance of reperfusion attempts increased, moving from the fourth to the highest rank. Our research suggests that the ensemble-based machine learning model, particularly the Survival Quilts, offers a promising approach for predicting survival in patients with out-of-hospital cardiac arrest. The Survival Quilts model may potentially assist emergency department staff in making informed decisions quickly, reducing preventable deaths. The aim of this research is to explore the therapeutic efficacy of platelet-rich plasma (PRP) on the cutaneous ulceration of diabetes mellitus (DM). From the beginning of the database until January 2024, we looked through several databases to obtain randomised, controlled PRP studies to treat the wound healing of DM in adult patients. The Cochrane Collaboration's Risk-Of-Bias Instrument was used to evaluate the risk of bias in randomised, controlled studies. Funnel plots, sensitivity analyses and Egger regression tests were employed to determine the reliability and effectiveness of the meta-analyses. Depending on the degree of heterogeneity, a fixed or random effect model has been used. The statistical significance was determined to be below 0.05. Altogether 281 trials were collected from the database and entered into Endnote Software for screening, and 15 trials were analysed. It was found that PRP was associated with a higher rate of wound healing (OR, 3.23; 95% CI, 2.42, 4.31 p < 0.0001). PRP was associated with a reduction in the risk of post-operative wound infection (OR, 0.46; 95% CI, 0.21, 0.99 p = 0.05). PRP was associated with a reduction in the risk of amputations amongst those with DM (OR, 0.50; 95% CI, 0.30, 0.84 p = 0.009). Overall, PRP treatment for DM is expected to improve the rate of wound healing, decrease the risk of wound infection and decrease the risk of amputations.
Hyperbaric oxygen therapy (HBOT) has been used in patients with diabetic foot ulcers (DFU) for many years, but its clinical efficacy is still controversial. Therefore, this study explored the efficacy of HBOT applied to DFU by means of meta-analysis. PubMed, Cochrane Library, Embase, CNKI and Wanfang databases were searched, from database inception to October 2023, and published randomised controlled trials (RCTs) of HBOT in DFU were collected. Two investigators independently screened the collected literature, extracted relevant data and assessed the quality of the literature. Review Manager 5.4 software was applied for data analysis. Twenty-nine RCTs with 1764 patients were included. According to the combined results, when compared with conventional treatment, HBOT significantly increased the complete healing rate of DFUs (46.76% vs. 24.46%, odds ratio [OR]: 2.83, 95% CI: 2.29–3.51, p < 0.00001) and decreased the amputation rate (26.03% vs. 45.00%, OR: 0.41, 95% CI: 0.18–0.95, p = 0.04), but the incidence of adverse events was significantly higher in patients (17.37% vs. 8.27%, OR: 2.49, 95% CI: 1.35–4.57, p = 0.003), whereas there was no significant difference in the mortality (6.96% vs. 12.71%, OR: 0.52, 95% CI: 0.21–1.28, p = 0.16). Our results suggest that HBOT is effective in increasing the complete healing rate and decreasing the amputation rate in patients with DFUs, but increases the incidence of adverse events, while it has no significant effect on mortality.
Diabetic Foot Ulcers (DFUs) are a major complication of diabetes, often leading to amputation. Understanding the relationship between haematological inflammatory markers and the incidence of amputation in DFU patients with infectious complications is crucial for improving management and outcomes. This retrospective study, conducted from May 2020 to October 2022, involved 109 patients with DFUs, categorised into amputation (AM) and non-amputation (NAM) groups. Patients were evaluated for various factors, including demographic data, DFU duration, and blood parameters such as haemoglobin A1c (HbA1c), haemoglobin (Hb), albumin (ALB), white blood cell count (WBC), erythrocyte sedimentation rate (ESR), procalcitonin (PCT), C-reactive protein (CRP), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR). Statistical analyses were performed using independent sample t-tests, Mann–Whitney U test and logistic regression. The univariate analysis showed no significant difference in BMI, DM duration or DFU duration between groups. However, significant differences were noted in PCT, Hb, ESR, ALB, HbA1c and WBC levels, and in inflammatory ratios (NLR, PLR and LMR). Multivariate logistic regression identified CRP, NLR and PLR as independent risk factors for amputation. The study highlights CRP, PLR and NLR as key independent risk factors for amputation in patients with DFUs. These easily obtainable markers from routine blood tests can effectively aid in predicting the risk of osteomyelitis and amputation, enhancing clinical decision making and patient care strategies.
The global burden of type 2 diabetes (T2D) is growing, and the age of onset is widening, resulting in increasing numbers of young adults and elderly patients with T2D. Age-specific diabetes care needs have yet to be fully explored.
This study examined (1) differences in patient-reported and clinical characteristics by age group and (2) the effect of age on two proxy measures assessing psychological health and self-care adherence after adjusting for potential mediators.
A cross-sectional, correlational design was used. Adults with type 2 diabetes (T2D) were recruited from a university hospital in Korea between 2019 and 2020. Participants were divided into four groups based on years of age (40s and younger group [n = 27]; 50s group [n = 47]; 60s group [n = 54]; and 70s and older group [n = 48]) to compare patient-reported and clinical characteristics. Chi-square tests, ANOVA, Kruskal-Wallis tests, and logistic regression analysis were performed to assess group differences and effect of age on psychological health and self-care adherence.
Of 178 participants, two-thirds were men (n = 114; 64.41%). The mean ages in the 40s and younger, 50s, 60s, and 70s and older groups were 39.4, 54.7, 63.9, and 76.0 years, respectively. There were significant differences in patient-reported and clinical characteristics by age group. The youngest group reported the poorest psychological health and self-care behaviors. Although the oldest group showed the poorest physical functioning, this group also showed the highest self-care adherence and the best psychological health. Regarding clinical characteristics, traditional diabetes-related blood test results showed no significant group differences.
Age-specific diabetes care needs were identified in adults with T2D. Interventions to improve psychological health and priming effects of behavioral adherence need to be developed. Furthermore, meticulous investigation to detect potential complications early is essential in adults with T2D.
To investigate the factors that facilitate or hinder nurses in providing patient education.
A mixed-method systematic review.
Six databases (Cochrane Library, PubMed, EMBASE, Web of Science, MEDLINE and ERIC) were systematically searched for relevant publications.
The study was conducted following the JBI for mixed-method systematic reviews, and the reporting followed the PRISMA guideline. Two researchers independently performed literature screening, literature evaluation, data extraction and synthesis. PROSPERO registration number: CRD42023427451.
Twenty-six eligible articles were included, including 15 quantitative articles, 10 qualitative articles and 2 mixed-methods articles. The resultant synthesis of key findings led to the identification of these barriers and facilitators, categorised into five distinct levels: nurse-related factors, organisational factors, patient-related factors, the nurse–patient relationship and interdisciplinary collaboration.
The findings highlight the factors that facilitate or hinder nurses in providing patient education, suggesting that multifaceted interventions can enhance the practice of patient education in nursing and support the development of appropriate patient education guidelines or public policies.
This review delineates the facilitators and barriers influencing nurses' provision of patient education, offering an initial framework for nursing managers to craft interventions aimed at enhancing the quality of patient education provided by nurses, consequently elevating the overall quality of nursing.
To assess the prognostic accuracy of the surprise question (SQ) when used by nurses working in hospital wards to determine 1-year mortality in acutely hospitalised older patients.
The predictive accuracy of the SQ, when used by general nurses caring for older hospitalised patients, has not been comprehensively studied.
A prospective cohort study.
This cohort study recruited consecutive 10,139 older patients (aged ≥65 years) who were admitted to Taipei City Hospital and were evaluated for the needs of palliative care in 2015. All patients were followed up for 12 months or until their death. The c-statistic value was calculated to indicate the predictive accuracy of the SQ and Palliative Care Screening Tool (PCST).
Of all participants, 18.8% and 18.6% had a SQ response of ‘no’ and a PCST score ≥4, respectively. After controlling for other covariates, an SQ response of ‘no’ (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.83–2.31) and a PCST score ≥4 (AHR = 1.50; 95% CI: 1.29–1.75) were found to be the independent predictors for patients' 12-month mortality. The C-statistic values of the SQ and the PCST at recognising patients in their last year of life were .663 and .670, respectively. Moreover, there was moderate concordance (k = .44) between the SQ and the PCST in predicting 12-month mortality.
SQ response of ‘no’ and a PCST score ≥4 were independent predictors of 12-month mortality in older patients.
The SQ, when used by nurses working in hospital wards, is effective in identifying older patients nearing the end of life, as well as in providing advance care planning for patients.
Patients' palliative care needs at admission were assessed by general nurses using the SQ and PCST.
To assess the effectiveness of different nonpharmacological treatments for severe radiation-induced oral mucositis in patients with head and neck cancer.
Radiation-induced oral mucositis is highly prevalent in patients with head and neck cancer. Current medications for radiation-induced oral mucositis are limited in effectiveness and susceptible to side effects, and while there is an increasing adoption of nonpharmacological interventions, the optimal one remains unclear.
Systematic review and network meta-analysis based on the PRISMA-NMA guidelines.
Six databases were searched. Two authors independently performed the literature screening, data extraction and methodological quality assessment of the included studies. Traditional pairwise meta-analysis was performed by R Studio. A network meta-analysis was then conducted to assess the effects of nonpharmacological interventions for severe radiation-induced oral mucositis in patients with head and neck cancer.
Fifty-two studies involving seven types of nonpharmacological interventions were enrolled. The network meta-analysis indicated that natural plant-based therapies might be the most effective, health education interventions might be the second most effective, and honey might be the third most effective interventions for reducing the incidence of severe radiation-induced oral mucositis. For reducing the incidence of severe oral mucositis-related pain, the pairwise meta-analysis showed that only natural plant-based therapies and health education interventions were effective.
Nonpharmacological interventions are effective in the management of severe radiation-induced oral mucositis among patients with head and neck cancer.
Nonpharmacological interventions are a category of safe and effective adjunctive therapies that should be encouraged in clinical practice.
CRD42023400745.
This study aims to investigate the current situation of needlestick injuries (NSIs) of clinical nurses and identify associated factors by using the theoretical framework of the human factors analysis and classification system (HFACS).
A nationwide cross-sectional survey was conducted.
Multi-stage sampling was used to investigate 3336 nurses in 14 Chinese hospitals. Descriptive statistics and univariate and multivariate logistic regression were employed to reveal the rate of NSIs and their associated factors.
A total of 970 nurses (29.1%) reported having experienced at least one NSI in the past year. The multivariate logistic regression analysis showed that good hospital safety climate and clinical nurses in intensive care unit (ICU) and emergency department had protective effects against NSIs compared with nurses in internal medicine department. The nurse, senior nurse, and nurse in charge have significantly increased the risk for NSIs compared with the associate chief nurse or above. Patients with poor vision but wearing glasses and poor vision but not wearing glasses were more prone to have NSIs. Working in the operating room compared with internal medicine, average weekly working time of >45 h compared with ≤40 h and poor general health led to increased risk of NSIs.
The rate of NSIs in clinical nurses was high in China. Individual factors including professional title, department, visual acuity and general mental health and organisational factors including weekly working hours and hospital safety atmosphere were significantly correlated with the occurrence of NSIs.
Nursing managers should focused on physical and psychological conditions of clinical nurses, and organisational support is required to enhance the hospital safety atmosphere.
Contributions from patients or the public are irrelevant because this study aims to explore current situation and factors associated with NSIs in clinical nurses.
To compare the effectiveness of non-pharmacological interventions in enhancing sleep quality in older people.
Sleep problems in older adults have become increasingly prominent. Sleep problems not only affect the health and quality of life of older people, but also the range of chronic diseases caused by sleep problems also impose a huge burden on social services and health care. Non-pharmacological interventions are an effective alternative to pharmacological therapies, but it is unclear which non-pharmacological therapies are most effective in enhancing sleep quality in older adults.
A systematic review and network meta-analysis based on PRISMA-NMA.
A total of seven databases were searched from the establishment of the database to March 2023. After literature screening and data extraction, the Cochrane Bias assessment tool 2.0 version of randomised controlled trials (RCTs) was used to evaluate literature quality. A network meta-analysis was performed to evaluate the relative efficacy of the non-pharmacological interventions on sleep quality.
A total of 71 RCTs involving nine non-pharmacological interventions were included. The results of the network meta-analysis showed that the joint intervention may be the most effective non-pharmacological intervention to enhance sleep quality in older adults.
This study confirms that non-pharmacological interventions can improve sleep quality in older adults. The use of non-pharmacological interventions can be promoted by healthcare professionals in the future to improve the quality of sleep and thus the physical and mental health of older people.
This evidence suggests that joint interventions may be most effective. Therefore, in the future, a combination of non-pharmacological interventions could be used to maximise their effectiveness in improving sleep quality in older people and promoting healthy aging.
No patient or public contribution is not applicable to this study.
The emergence of novel infectious diseases has amplified the urgent need for effective prevention strategies, especially ones targeting vulnerable populations such as children. Factors such as the high incidence of both emerging and existing infectious diseases, delays in vaccinations, and routine exposure in communal settings heighten children's susceptibility to infections. Despite this pressing need, a comprehensive exploration of research trends in this domain remains lacking. This study aims to address this gap by employing text mining and modeling techniques to conduct a comprehensive analysis of the existing literature, thereby identifying emerging research trends in infectious disease prevention among children.
A cross-sectional text mining approach was adopted, focusing on journal articles published between January 1, 2003, and August 31, 2022. These articles, related to infectious disease prevention in children, were sourced from databases such as PubMed, CINAHL, MEDLINE (Ovid), Scopus, and Korean RISS. The data underwent preprocessing using the Natural Language Toolkit (NLTK) in Python, with a semantic network analysis and topic modeling conducted using R software.
The final dataset comprised 509 journal articles extracted from multiple databases. The study began with a word frequency analysis to pinpoint relevant themes, subsequently visualized through a word cloud. Dominant terms encompassed “vaccination,” “adolescent,” “infant,” “parent,” “family,” “school,” “country,” “household,” “community,” “HIV,” “HPV,” “COVID-19,” “influenza,” and “diarrhea.” The semantic analysis identified “age” as a key term across infection, control, and intervention discussions. Notably, the relationship between “hand” and “handwashing” was prominent, especially in educational contexts linked with “school” and “absence.” Latent Dirichlet Allocation (LDA) topic modeling further delineated seven topics related to infectious disease prevention for children, encompassing (1) educational programs, (2) vaccination efforts, (3) family-level responses, (4) care for immunocompromised individuals, (5) country-specific responses, (6) school-based strategies, and (7) persistent threats from established infectious diseases.
The study emphasizes the indispensable role of personalized interventions tailored for various child demographics, highlighting the pivotal contributions of both parental guidance and school participation.
The study provides insights into the complex public health challenges associated with preventing and managing infectious diseases in children. The insights derived could inform the formulation of evidence-based public health policies, steering practical interventions and fostering interdisciplinary synergy for holistic prevention strategies.
This study aimed to explore digital literacy among community-dwelling older adults in urban South Korea. A semistructured interview guide was developed using the Digital Competence ( 2.0 framework, which emphasizes the competencies for full digital participation in five categories: information and data literacy, communication and collaboration, content creation, safety, and problem-solving. The data were analyzed using combined inductive and deductive content analysis. Inductive analysis identified three main categories: perceived ability to use digital technology, responses to digital technology, and contextual factors. In the results of deductive analysis, participants reported varying abilities in using digital technologies for information and data literacy, communication or collaboration, and problem-solving. However, their abilities were limited in handling the safety or security of digital technology and lacked in creating digital content. Responses to digital technology contain subcategories of perception (positive or negative) and behavior (trying or avoidance). Regarding contextual factors, aging-related physical and cognitive changes were identified as barriers to digital literacy. The influence of families or peers was viewed as both a facilitator and a barrier. Our participants recognized the importance of using digital devices to keep up with the trend of digitalization, but their digital literacy was mostly limited to relatively simple levels. Game-based virtual reality simulation programs can capitalize on the advantages of non–face-to-face education while effectively stimulating the interest of trainees and improving training efficiency. This study aimed to develop a game-based virtual reality simulation program for nervous system assessment and to evaluate the effects of the program on the learning attitudes of nursing students. Using a one-group pretest-posttest design, 41 senior nursing students were enrolled, and their learning attitudes (self-directed learning attitude, academic self-efficacy, flow-learning experience, and learning presence) were evaluated. The effect of the program was statistically significant in self-directed learning attitude (t = −2.27, P = .027) and learning presence (t = −3.07, P = .003), but the difference was not statistically significant in academic self-efficacy (t = −1.97, P = .054) and learning flow (t = −0.74, P = .459). The virtual gaming simulation program can be used to effectively replace field training in situations wherein field training is limited, such as during the COVID-19 pandemic. The poor usability of electronic health records contributes to increased nurses' workload, workarounds, and potential threats to patient safety. Understanding nurses' perceptions of electronic health record usability and incorporating human factors engineering principles are essential for improving electronic health records and aligning them with nursing workflows. This review aimed to synthesize studies focused on nurses' perceived electronic health record usability and categorize the findings in alignment with three human factor goals: satisfaction, performance, and safety. This systematic review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis. Five hundred forty-nine studies were identified from January 2009 to June 2023. Twenty-one studies were included in this review. The majority of the studies utilized reliable and validated questionnaires (n = 15) to capture the viewpoints of hospital-based nurses (n = 20). When categorizing usability-related findings according to the goals of good human factor design, namely, improving satisfaction, performance, and safety, studies used performance-related measures most. Only four studies measured safety-related aspects of electronic health record usability. Electronic health record redesign is necessary to improve nurses' perceptions of electronic health record usability, but future efforts should systematically address all three goals of good human factor design. 
FreshRSS 