Conectar
The home-based primary care cohort was set up to identify the characteristics of Home-Based Primary Care (HBPC) users across three domains: health-related information, utility of healthcare service and care-related information.
A total of 407 patients enrolled in five HBPC centres were recruited between January 2023 and March 2024. The baseline survey was conducted among 332 participants who provided informed consent for both study participation and home visits. The second wave of data collection is scheduled to take place 6 months after enrolment, while the third wave will be conducted 12 months post-enrolment. During each home visit, trained interviewers administered structured survey questionnaires. On completion of the 12-month follow-up period, the dataset will include survey data, intervention records from the five participating HBPC centres, home mortality status and institutionalisation risk linked to each participant.
This study examines HBPC in Korea, integrating the Widely Integrated Services in Home model with the long-term care insurance system. Among participants, 30.1% lived alone, and 74.1% were homebound, showing similarities to findings from a US HBPC study. Analysing cohort data, this study evaluates the impact of HBPC on healthcare utilisation, aligning with international findings on reduced hospitalisations and costs. As the first HBPC effectiveness study in Korea, it highlights its role in enhancing care for homebound older adults and shaping national health policies.
Data on the number of interventions by profession, institutionalisation and hospitalisation status and duration, and death at home occurrence are being separately collected from five HBPC centres and will be included in the analysis. The analysis will examine associations between these variables to identify risk factors influencing institutionalisation. Additionally, this study plans to link the dataset with the National Health Insurance Service-Senior (NHIS-Senior) customised cohort for further analysis.
Methotrexate (MTX) effectively controls rheumatoid arthritis (RA) but often leads to side effects (SE) such as gastrointestinal (GI) issues, liver toxicity and bone marrow suppression. To develop clinically interpretable machine learning (ML) models that accurately predict MTX-related SE in patients with RA taking MTX. The aim was to enhance predictive accuracy and to identify patient-specific risk factors using explainable artificial intelligence (XAI), thereby enabling transparent clinical interpretation. We specifically sought to address the unmet need for individualised risk stratification using real-world, multicentre observational data.
Retrospective case-control study.
Across 23 rheumatology clinics in South Korea, based on data from a nationwide multicentre cohort.
A total of 5077 patients with RA were initially enrolled from the Korean Observational Study Network for Arthritis. After excluding those with missing clinical, demographic or prescription data and those not receiving MTX, 2375 patients remained eligible. Among these, 1654 and 1218 patients were included in the overall SE and GI SE analysis groups, respectively, after 1:1 propensity score matching. All patients were aged ≥18 years and met the 1987 American College of Rheumatology classification criteria.
The primary outcome was the presence of SE in patients with RA taking MTX, categorised into overall SE and GI SE, based on standardised patient questionnaires and clinical assessments. The secondary outcome was the identification of key predictors using SHapley Additive exPlanations (SHAP) to enhance the interpretability of ML predictions.
Among six ML classifiers, extreme gradient boosting demonstrated the highest performance in predicting overall SE (area under the curve (AUC) 0.781, F1 score 0.672, area under the precision-recall curve (AUPRC) 0.757) and GI SE (AUC 0.701, F1 score 0.690, AUPRC 0.670). SHAP analysis identified key predictive features including age, physician visual analogue scale score, alanine aminotransferase, Health Assessment Questionnaire score, celecoxib use and drug adherence. Logistic regression confirmed statistical significance for multiple variables (eg, OR 4.63; 95% CI 1.41 to 20.90 for non-adherence >30 days; OR 1.45; 95% CI 1.14 to 1.85 for celecoxib use). DeLong’s test indicated that boosting models significantly outperformed support vector machine (p
Interpretable ML models using real-world clinical data can accurately predict SE in patients with RA taking MTX. These models may facilitate early identification of high-risk individuals and inform personalised treatment strategies. Integration into clinical decision support systems could improve MTX safety monitoring. Further prospective validation in external cohorts is warranted.
by Yoo Kyung Choi, Seok Hyun Son, Hong Seok Jang, In-Ho Kim, Sea-Won Lee, Soo-Yoon Sung
BackgroundRadiotherapy for locally advanced esophageal cancer can induce lymphopenia, potentially worsening outcomes. This study examines the association between clinical outcomes and the effective dose to the immune cells (EDIC), a measure of lymphocyte radiation exposure.
MethodsWe retrospectively analyzed 107 patients with locally advanced esophageal squamous cell carcinoma treated with definitive concurrent chemoradiotherapy (CCRT). The EDIC was calculated based on the mean lung dose, mean heart dose, and integral total body dose using established models. Patients were stratified into high (n = 42) and low (n = 65) effective dose to the immune cells (EDIC) groups using a cut-off value of 4.28 Gy. Survival outcomes, including overall survival (OS), progression-free survival (PFS), locoregional failure-free survival (LRFS), and distant metastasis-free survival (DMFS), were assessed.
ResultsThe 5-year OS and PFS rates were significantly lower in the high EDIC group than in the low EDIC group (51.9% vs. 66.6%, p = 0.043; 20.8% vs. 31.8%, p = 0.002, respectively). Multivariate analysis identified high EDIC as an independent predictor of poorer OS (hazard ratio (HR): 2.06, 95% confidence interval (CI): 1.1–3.86, p = 0.024) and PFS (HR: 1.7, 95% CI: 1.04–2.78, p = 0.034). Similarly, the 5-year LRFS and DMFS rates were significantly lower in the high EDIC group than in the low EDIC group (24.1% vs. 34.9%, p = 0.003; 29.0% vs. 44.0%, p = 0.018, respectively).
ConclusionA higher EDIC is an independent predictor of poor survival in patients with esophageal squamous cell carcinoma undergoing CCRT. Reducing radiation exposure to the immune system through optimized radiation planning and lymphocyte-sparing techniques may improve patient outcomes.
To investigate the frequency and associated factors of interruptions initiated by human and environmental sources during the medication administration process among nurses in South Korea.
A cross-sectional descriptive study.
Data were collected from January to March 2022 through an online survey administered to nurses working in tertiary hospitals in South Korea. The survey assessed interruptions during the medication administration process, nursing work environments and organisational culture. Descriptive statistics and regression analysis were used to identify factors associated with interruptions.
Human-initiated interruptions were more frequent than those initiated by environmental sources. Human-initiated interruptions increased with a higher patient load and a relation-oriented organisational culture but decreased with adequate staffing and resources, as well as an innovation-oriented culture. Environment-initiated interruptions were more frequent in settings with a task-oriented culture and less frequent among female nurses.
The findings highlight the importance of understanding the distinct characteristics of interruptions and developing targeted strategies based on their sources and contributing factors. Creating supportive environments and fostering an organisational culture that actively prevents unnecessary interruptions are essential for enhancing medication safety and workflow efficiency.
To apply these findings in clinical practice, it is necessary to allocate staffing resources appropriately to reduce interruptions. Providing education on the importance of maintaining uninterrupted medication administration processes is essential to reduce human-initiated interruptions.
This study provides practical evidence that organisational culture and staffing are associated with interruptions in clinical nursing practice. Nurse managers should apply these findings by promoting staffing adequacy and fostering a collaborative, innovative environment that encourages continuous improvement and openness to change. Tailored strategies that reflect the specific characteristics of different types of interruptions can help reduce their occurrence and improve medication safety.
STROBE checklist.
No patient or public contribution.
It is well-known that the implementation of evidence into clinical practice is complex and challenging. The integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework conceptualizes successful implementation of evidence into practice. As the implementation of the mentoring programme proved to be a challenge, it seemed valuable to retrospectively study the implementation process using a framework like the i-PARIHS.
The aim of this study was to evaluate implementation of a multifaceted mentoring programme for bedside nurses using the i-PARIHS framework, to identify factors that influenced the implementation.
A secondary analysis of qualitative data using the i-PARIHS framework as the theoretical lens.
A directed content analysis was performed, driven theoretically by the i-PARIHS framework. The analysis focused separately on (a) characteristics of the innovation and (b) successful and hindering factors in the implementation process.
The results showed that successful factors influencing implementation of the mentoring programme included supportive and actively involved formal leaders and supervisors at the unit level. A major hindering factor was lack of resources in the form of personnel, time and money. A lack of facilitators, particularly experienced facilitators, throughout the organization hindered implementation. The i-PARIHS framework offered a structured how-to guide to identify factors that influenced the implementation process.
Implementation of the mentoring programme was a challenge for the organization. Investment into implementation should continue, with a more structured facilitation process. A structured and prioritized management system, including supportive leadership at the unit level, should be established by the hospital board.
There is a need for experienced facilitators throughout the organization. This is crucial to achieve sustainability in the mentoring programme and ensure that the large investments of staff resources and money do not fizzle out.
Implementing a mentoring programme for nurses in a large university hospital proved to be a challenge. Therefore, it seemed valuable to retrospectively study the implementation process using a framework like the i-PARIHS.
A lack of facilitators, particularly experienced facilitators, throughout the organization hindered the implementation. The i-PARIHS framework offered a structured how-to guide to identify factors that influenced the implementation process.
Our findings are important for leaders on all levels in a hospital setting, including the hospital board, heads of departments and nurse managers.
Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups is used.
No patient or public contribution.
Despite growing concerns regarding the impact of smartphone use on adolescents' lifestyle, there is a notable lack of studies utilising national data to explore how smartphone use influences eating habits in this age group. We aimed to investigate the association between smartphone screen time and fast food intake using representative data from Korean adolescents.
Cross-sectional survey.
This cross-sectional analysis used data from the 2017 Korean Youth Risk Behavior Web-based Survey (KYRBS). We used Poisson regression to directly estimate prevalence ratios (PRs) rather than using logistic regression as odds ratios (ORs) tend to overestimate PRs when the outcome is common. Smartphone screen time was categorised into four groups based on the daily time spent using smartphones:
Data from 39 753 individuals were included.
The primary outcome was the frequency of fast food intake, assessed via a self-reported survey that asked: "In the past 7 days, how often did you eat fast food such as pizza, hamburgers, fried chicken, or drink carbonated beverages?". Participants were categorised into two groups based on their median intake: infrequent (≤2 times/week) and frequent (≥3 times/week).
Among 39 753 adolescents, 19 273 reported frequent fast food intake (10 162 (51.9%) boys, 9111 (45.1%) girls), while 20 480 reported infrequent intake (9409 (48.1%) boys, 11 071 (54.9%) girls). The probabilities that adolescents who used smartphones for 6 hours daily would have frequent fast food intake were 1.29 times (95% CI: 1.28 to 1.30) among boys, and 1.43 times (95% CI: 1.42 to 1.44) higher among girls, compared with adolescents who used smartphones for 2 hours daily.
The association between prolonged smartphone screen time and frequent fast food intake in adolescents suggests the need for targeted interventions addressing digital media use to promote healthier eating behaviors.
To identify the barriers and facilitators in the implementation of fertility preservation (FP) shared decision-making (SDM) in oncology care.
Qualitative descriptive study.
Qualitative interviews with 16 female patients with cancer and seven healthcare providers were conducted between July 2022 and April 2024. Data were analyzed using directed content analysis, guided by the implementation science framework.
We identified 22 categories comprising 38 codes as barriers to SDM implementation and 17 categories comprising 26 codes as facilitators. Findings revealed that, at the innovation level, accessibility, feasibility, interdisciplinary collaboration, and quality improvement efforts were decisive in the implementation of FP SDM. At the individual level, healthcare providers' awareness and attitudes towards FP and SDM, as well as patients' knowledge, attitudes, and capabilities in FP SDM, were crucial factors in the implementation of FP SDM. In social, economic, and organizational contexts, support from significant others, social awareness about FP, multidisciplinary care, financial assistance, and educational resources were determinants in implementing FP SDM.
Implementing FP SDM among female patients with cancer necessitates a strategic approach that considers barriers and facilitators. Educating and promoting FP SDM among the public and healthcare providers, combined with incentivizing policies, can enhance individual knowledge and awareness while achieving systemic improvements, facilitating its successful implementation.
This study provides insights into barriers and facilitators and proposes strategic approaches to enhancing FP SDM implementation, contributing to improved quality of life for cancer survivors and advancements in clinical practice.
by Dong Min Jung, Yong Jae Kwon, Yong Wan Cho, Jong Geol Baek, Dong Jae Jang, Yongdo Yun, Seok-Ho Lee, Gahee Son, Hyunjong Yoo, Min Cheol Han, Jin Sung Kim
Volumetric modulated arc therapy (VMAT) for lung cancer involves complex multileaf collimator (MLC) motion, which increases sensitivity to interplay effects with tumour motion. Current dynamic conformal arc methods address this issue but may limit the achievable dose distribution optimisation compared with standard VMAT. This study examined the clinical utility of a VMAT technique with monitor unit limits (VMATliMU) to mimic conformal arc delivery and reduce interplay effects while maintaining plan quality. VMATliMU was implemented by applying monitor unit limitations during VMAT reoptimisation to minimise MLC encroachment into target volumes. Using mesh-type reference computational phantom CT images, treatment plans were generated for a simulated stage I lung cancer case prescribed to 45 Gy in three fractions. VMATliMU, conventional VMAT, VMAT with leaf speed limitations, dynamic conformal arc therapy, and constant dynamic conformal arc therapy were compared. Plans were optimised for multiple isodose line prescriptions (50%, 60%, 70%, 80%, and 90%) to investigate the impact of dose distribution. Evaluation parameters included MLC positional accuracy using area difference ratios, dosimetric indices, gradient metrics, and organ-at-risk doses. VMATliMU prevented MLC encroachment into the internal target volume across 60%–90% isodose lines, showing superior MLC accuracy compared with other methods. At the challenging 50% isodose line, VMATliMU had 4.5 times less intrusion than VMAT with leaf speed limits. VMAT plans had better dosimetric indices than dynamic conformal arc plans. VMATliMU reduced monitor units by 5.1%–19.2% across prescriptions. All plans met the clinical dose constraints, with the aortic arch below tolerance and acceptable lung doses. VMATliMU combines VMAT’s dosimetric benefits with the dynamic conformal arcs’s simplicity, minimising MLC encroachment while maintaining plan quality. Reduced monitor units lower low-dose exposure, treatment time, and interplay effects. VMATliMU is usable in existing planners with monitor unit limits, offering a practical solution for lung stereotactic body radiation therapy.Infertility resulting from cancer treatment is known to be a major factor that reduces the quality of life of young cancer survivors. However, discussions and decision-making about fertility preservation before cancer treatment have been insufficient owing to barriers in the clinical field. In addition, selecting a fertility preservation option requires a complex decision-making process that considers not only medical information but also the patient’s values and preferences. Hence, an environment that more easily supports patient decision-making about fertility preservation needs to be created. Therefore, this protocol will develop and test a web-based decision aid (DA) for fertility preservation among young patients with cancer, considering patient preferences and values, evaluate acceptability and usability of the developed DA and assess its effectiveness.
This protocol outlines the development of a web-based DA for fertility preservation targeting females of reproductive age diagnosed with cancer. It includes alpha testing to evaluate the usability and acceptability of the DA, as well as beta testing to assess its effectiveness outside of clinical settings, both based on an online survey. The web-based DA for fertility preservation consists of three modules: 1) an information collection module, 2) an option suggestion module and 3) a value communication module. The information collection module collects information essential to select appropriate fertility preservation options. The option suggestion module returns all applicable fertility preservation options based on the patient’s characteristics, which are essential for determining the appropriate option, such as menarche status and desire for pregnancy. The value communication module provides information on the extent to which each fertility preservation option satisfies the patient’s values and preferences. After the development of the DA, a small group of young patients with cancer (n=10) and health providers (n=5) will be asked to use this web-based DA for fertility preservation and assess the acceptability and usability of this DA based on a survey (alpha-testing). By reflecting the feedback of acceptability and usability testing, the DA will be updated for improvement, and clinical field testing (beta-testing pilot trial) will be performed using the updated DA. Beta-testing will be conducted on young patients with cancer (aged 18–40 years) before they receive any curative cancer treatment (n=32). These patients with cancer will be randomly allocated to the DA group (intervention group) or the usual care group (control group). The DA group will use the web-based DA before treatment, and the control group will not have access to the web-based DA and will be asked to decide whether to consult a fertility preservation specialist. The primary outcome of the beta testing will be the level of decisional conflict, and the secondary outcomes will include knowledge, decision self-efficacy, decision readiness, depression severity, quality of life, counselling on fertility preservation and decision-making about fertility preservation. Outcomes, including decisional conflict, knowledge, decision self-efficacy, quality of life and depression severity, will be measured before the intervention (T0), 1 week after the intervention (T1) and 1 month after the intervention (T2). The readiness for decision-making will be assessed at T1 for the intervention group only. Counselling on fertility preservation and decision-making about fertility preservation will be assessed once after testing (T2) for both the intervention and control groups.
The study will be conducted in accordance with ethical standards and was approved by the Institutional Review Board at the National Cancer Centre, Korea (IRB No. NCC2024-0050). All study participants will provide written informed consent before participation. The results generated from this study will be presented at conferences or scientific meetings and disseminated through publication in a peer-reviewed journal.
NCT07038174 (beta-testing phase).
Identifying patients with chest pain potentially due to acute coronary syndrome (ACS) early is crucial for triage nurses. They need a reliable, validated screening tool.
This study aims to develop an initial screening scale to detect ACS in patients presenting with chest pain in the emergency department.
We analyzed electronic medical records of 3131 chest pain patients from 103,041 emergency department visits between January 2018 and December 2019. ACS diagnosis was confirmed by cardiologists through clinical symptoms, electrocardiograms, and cardiac enzyme levels. The study proceeded in four stages: (1) identifying potential ACS predictors through a literature review, (2) validating these predictors with experts, (3) comparing data between ACS and non-ACS patients and (4) developing a screening scale based on identified predictors. Statistical methods included univariate analysis and binary logistic regression. The scale's accuracy was assessed using ROC curve analysis and compared to existing tools.
Eight significant ACS predictors were identified: male sex, age over 49 for males and over 65 for females, typical symptoms, initial pain scale score of 6 or higher, pain duration of at least 10 min, history of ACS, hypertension, and dyslipidemia. Each predictor was scored, with typical symptoms and severe pain receiving higher scores, totaling up to 10 points. A score of 6 or more indicated high ACS risk, demonstrating accuracy comparable to the HEART and TIMI score systems.
This study developed a new ACS screening scale for use by triage nurses in emergency departments. This scale can facilitate early detection and intervention for patients at high risk of ACS.
To investigate fundamental care delivery regarding oral care in a surgical context, and to compare patients' self-reported oral health with registered nurse assessments.
A descriptive and comparative study, with a consecutive selection.
A patient oral health rating tool, including questions about performed oral care, was distributed to patients (n = 50), at four surgical wards in Sweden. The response rate was 72%. Oral health status was assessed by a registered nurse using the Revised Oral Assessment Guide (ROAG), and a comparison between patient and registered nurse assessment was performed by calculating Cohen's kappa coefficient and percentage agreement.
Patients (38%) reported severe oral symptoms, mostly dry lips and not an adequate amount of saliva, and 80% were not offered help with oral care. ROAG assessments revealed that 74% had problems with oral health. Almost half of the patients (48%) needed assistance with oral care but only 10% received help. Registered nurses assessed the patient's oral health as worse than the patient's self-assessment did.
There are deficiencies in fundamental care delivery regarding oral care in a surgical care context. Oral health assessments need to be performed by registered nurses. Routines for systematic oral assessments and for oral care need to be implemented by nurse managers to ensure that patients' fundamental care needs are fulfilled.
Oral health assessments need to be performed regularly by registered nurses since it is insufficient that patients self-assess their oral health. Nurse managers need to provide and implement routines for nurse assessments and oral care in surgical care contexts.
There are deficiencies in patients' oral health and oral care, and registered nurses need to perform oral health assessments. Nurse managers need to implement routines for registered nurse assessments and oral care.
Patients admitted to a surgical ward were included in the study after being screened for inclusion criteria. After participants signed informed consent, they filled in a questionnaire about oral health and oral care, and a registered nurse performed an oral health assessment.
This study was carried out according to the STROBE checklist.
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