Patient Information Research Articles

A review of clinical ethics consultations in a regional healthcare system over a two-year timeframe

BackgroundClinical Ethics Consultations (CECs) are used by healthcare systems to offer healthcare practitioners a structured level of support to approach ethical questions. The objective of this study was to detail the elements of surveyed CECs and offer guidance in the approach to future ethics consultations at a regional healthcare system.MethodsThis cohort study has a qualitative and quantitative retrospective approach, surveying ethics consultations through the dates of 4/27/22 to 4/26/24. A documentary sheet was created, and information was entered via online data-gathering forms. The cases are from a range of specialties within a regional healthcare system servicing Minnesota, Wisconsin, and North Dakota.Results103 CECs were performed within the study period across the regional healthcare system. Consultations were identified through retrospective review of the internal CEC database, and patient information was collected through the medical record. Decision-making was often performed by a substitute decision-maker (N = 54), occurring in 70.1% of cases with known decision makers. CECs were documented in an ethics-specific note in the patient medical record in 37 of 82 (45.1%) documented patient cases. It was common for physicians to mention the ethics consultation in their patient notes, occuring in 51 of 82 (62.2%) of documented patient cases. Age was recorded in 92.0% (N = 91) of unique patient cases; the median age was 62 years. Ethical questions concerning end-of-life care were the most common cause for consultation (N = 35, 34%), and CECs were most commonly requested in general medicine or hospitalist departments (N = 38, 45.2%). Most consultations resulted in resolution at time of initial consultation with the ethics call team.ConclusionsRecommendations for increased frequency and timing of policy review are given based on the results of the data presented. Using interpretation of the CECs in this study, we offer recommendations towards the use and documentation of ethics consultations in the era of open notes, open the door towards areas of future research, and ultimately promote use of CECs for more favorable patient outcomes.

Evolving HIV service delivery: scalability of pharmacist-led care

Abstract Introduction With declining healthcare budgets and numbers of HIV medical trainees1, workforce innovation is crucial to sustain delivery of HIV care. Since local introduction of an advanced pharmacist practitioner (APP) role, we have demonstrated the ability of pharmacists to provide holistic care to people living with HIV, including those with complex medical needs. Scaling up pharmacist-led care may be a potential solution to sustain service delivery2 whilst addressing the needs of an ageing cohort3. Further APP clinics were introduced with consultant support and supervision. Aim We aim to evaluate the impact and outcomes of these APP clinics. Method Prospective data collection of consultations conducted by four pharmacist practitioners (PP) across four HIV clinics between January to December 2023. Surveys were distributed after the appointment to capture service users’ opinions on the pharmacists’ role and care provided. Ethical approval was not required as this does not constitute as research. This was registered as a service evaluation with the research and innovation team at Chelsea and Westminster NHS Foundation Trust. All patient information is anonymised. Results A total of 634 consultations (513 individuals) within 170 clinical sessions were conducted during the 12 month period: 585 (92%) in person; 176 (34%) female; median age 52 (IQR 43-58); 233 (45%) non-white ethnicity; mean number of co-morbidities 2 (0-8); 87 (17%) had more than 5 co-medications (0-21); 87% virologically suppressed [viral load (VL) <50cp/mL]. Of 55 individuals seen with detectable VL, 32 (58%) resuppressed within 6 months. PPs have made 522 interventions and investigations in total, for example 147 referrals to other specialities such as dietitians and mental health services, 112 imaging requested (e.g DEXA and liver ultrasounds) and 99 initiation or switching of antiretroviral therapy (ART). Following investigations, 44 new medical conditions were identified and managed by the PPs which included namely 18 cases of micronutrient deficiencies, 8 cases of skin conditions and 6 cases of metabolic disorders. From the survey, 55% (30/55) of service users were aware that pharmacists could review their overall health. All (100%) respondents felt that the quality of care received met or exceeded expectations and 54 (98%) would attend a pharmacist-led appointment in future. Discussion/Conclusion We have previously successfully demonstrated implementation of pharmacist practitioner clinics as a novel way of utilising and developing the pharmacist workforce. We demonstrate scalability of this service delivery model in our large, urban multi-site centre by successfully increasing the number of pharmacist practitioner clinics from three clinics to six clinics week. The positive feedback from service users indicates high acceptability of this model. HIV services may consider investment into mobilising senior pharmacists to facilitate expansion of this advanced practitioner role in order to address increasing levels of co-morbidities, polypharmacy and complex medical needs observed in our ageing population. The knowledge base of HIV pharmacists means they are ideally placed to facilitate communication across sectors, specialties and disciplines. Future development plans include expanding to other specialist areas such as HIV pre-exposure prophylaxis, contraception, gender health and research delivery and enhanced skills such as phlebotomy, injectable ART administration.

Risk-Prediction Model of Restenosis after Endovascular Treatment for Peripheral Arterial Disease: A Systematic Review and Meta-analysis

Background: Peripheral artery disease (PAD) patients after endovascular treatment (EVT) have a relatively high restenosis rate. However, this risk can be mitigated through precise risk assessment and individualized self-management intervention plans. Moreover, the number of predictive models for restenosis risk in PAD patients after EVT is gradually increasing, yet these results of study exhibit certain discrepancies, raising uncertainties regarding the quality and applicability in clinical practice and future research. Objective: The objective of this study was to systematically evaluate risk-predictive models for restenosis in patients with PAD after EVT. Methods: A systematic review and meta-analysis of predictive model construction and validation using observational studies was undertaken. The China National Knowledge Infrastructure, China Science and Technology Journal Database, Wanfang Database, SinoMed, PubMed, Web of Science, Embase, and the Cochrane Library were searched from inception to January 1, 2024. Two researchers independently conducted literature screening and data extraction, encompassing study design, data sources, outcome definition, sample size, predictive factors, model development, and performance. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was used for risk of bias and applicability assessment of the models. Results: A total of 4275 studies were retrieved, ultimately resulting in the inclusion of 7 articles comprising 7 predictive models for restenosis in PAD patients after EVT, with a restenosis incidence ranging from 21.8% to 39.7%. The total sample size of the included models ranged from 137 to 1578 cases, with logistic regression analysis being the most commonly used modeling method. All models were built using R software. Only 2 models underwent external validation, and the reported area under the curve ranged from 0.728 to 0.864. The summary area-under-the-curve statistic was 0.80 (95% confidence interval [CI], 0.74-0.86), with an approximate prediction interval of 0.80 (95% CI, 0.62-0.91) . The number of included predictive factors ranged from 3 to 10, with the most common factors being age, Trans-Atlantic Inter-Society Consensus Ⅱ classification, hypertension, diabetes, high-sensitivity C-reactive protein, and surgical approach. All studies exhibited high risk of bias, primarily attributed to inappropriate sources of data and poor reporting of the analysis domain. Conclusion: Predictive models for restenosis after EVT in PAD patients demonstrate overall good predictive performance but are still in the developmental stage with higher risk of bias. Future studies should follow the TRIPOD statement, focusing on the development of new models with larger samples, rigorous study designs, and multicenter external validation. Clinical Impact This systematic review adheres to the PRISMA 2020 statement, offering the most recent systematic assessment of risk prediction models for restenosis following endovascular treatment in peripheral arterial disease.The newly developed PROBAST tool was employed to assess the risk of bias and the applicability of the existing evidence.This review emphasizes the practical utility, limitations of the current evidence, and recommendations for future research, with the goal of providing valuable information for clinicians and patients in their decision-making process, while also supporting the advancement of future research endeavors.

Thyroid hormones and prognosis in adults with status epilepticus: a retrospective study

ObjectivesThyroid hormone levels have been indicated to be associated with the functional outcome in critical illness. However, the studies on thyroid hormones and status epilepticus (SE) are rare. This study aimed to evaluate the predictive value of serum thyroid hormone levels on admission for unfavorable outcome in adult patients with SE.MethodsWe investigated and validated the predictive value of serum thyroid hormone levels on admission for the prognosis of adult SE patients. We extracted the clinical information and outcomes of patients. Modified Rankin scale (mRS) scores were applied to assess the patients’ functional outcome, and mortality at 30 days after SE onset was identified. Serum levels of thyroid hormones including free thyroxin (FT4), free triiodothyronine (FT3) and thyroid-stimulating hormone (TSH) were detected on admission.ResultsWe first analyzed the discovery cohort of 87 patients with SE. We found that 35.6% (31/87) of the patients had a poor outcome at discharge, and 18.4% (16/87) of the patients died during hospital stay and at 30-day follow up. The serum FT3 levels in the non-survivors group were significantly lower than those in the survivors group. Low T3 syndrome occurred in 29.9% (26/87) of SE cases and patients with low T3 syndrome were more likely to have unfavorable outcomes. Furthermore, we observed similar results in the external cohort, which validated our findings.ConclusionsSerum FT3 levels measured on admission are independently associated with 30-day mortality in SE patients. Additionally, low T3 syndrome may be a promising candidate for predicting SE prognosis.

Development of a framework of interpersonal communication skills for MPharm students: a UK eDelphi study

Abstract Introduction The importance of communication skills for pharmacists in their daily activities, particularly in patient-centred care, is paramount. Effective healthcare, including complex tasks such as health promotion and medication reviews, heavily relies on quality communication. The GPhC emphasises the importance of graduates being able to employ communication skills in various settings1 although consensus on essential communication competencies in student pharmacist education is lacking. Aim To achieve consensus on a framework of interpersonal communication competencies for MPharm students. Method With approval from Keele University’s Research Ethics Committee, a draft interpersonal communication competency framework was developed after thorough literature review. Panellists with an interest in pharmacy education (including graduates, pharmacists and non-pharmacists) were invited to participate in an online three-round modified eDelphi study. Round 1 involved participants reviewing the draft framework, providing feedback on competency relevance/ wording and identifying missing competencies. Round 2 evaluated an updated framework for competency importance, with competencies needing 80% agreement to achieve consensus. Competencies without consensus underwent Round 3 review. Feedback was provided after each round. Results Panellists from across UK came from diverse pharmacy sectors like community, hospital, primary care, academia, industry, regulatory and education. In addition, there was as considerable participant experience, knowledge and expertise, which contributed distinct insights and viewpoints. The draft framework comprised 123 competencies across four Domains: Generic Communication (sub-divided into: organisation of an encounter, initiating and closing discussions, verbal and non-verbal communication, encouragement of person involvement, and adjusting communication based on contextual or cultural factors); Patient-Specific Communication (sub-divided into: gathering patient information and shared decision making); Peer Communication, and Other Communication (e.g., written). In total, 56, 49, and 47 participants completed each of the three consecutive rounds. In Round 1, over 500 comments prompted considerable amendments, including competency additions, removals, and mergers. This led to 126 competencies being rated for importance in Round 2 and 120 competencies (95%) were deemed important by at least 80% of eDelphi participants. Alongside competency ratings, an additional 130 comments were received, offering constructive insights. Six competencies that failed to achieve consensus in Round 2 underwent review again in Round 3. Subsequently, three more competencies failed to achieve consensus, resulting in a final agreed-upon framework of 123 competencies. Discussion This is the first competency framework developed for pharmacy student education. This study underscores the importance of interpersonal communication skills in pharmacy education and the experience of participants enriched the study, providing diverse and essential perspectives that were crucial in defining these competencies. The robustness of the iterative eDelphi process was instrumental in refining these competencies through multiple rounds. Although most competencies achieved consensus, a few contentious competencies underscored the challenges of aligning participant perspectives. The finalised framework, grounded in evidence-based development and stakeholder involvement, potentially serves as a flexible foundation for structuring pharmacy education curricula, but the scope of the study may face limitations, with the range of competencies either being too broad or too narrow, which could make implementation a challenge. Future research could focus on assessing these competencies across diverse healthcare settings. Reference 1. General Pharmaceutical Council, (2017). Standards for pharmacy professionals. Retrieved from https://www.pharmacyregulation.org/sites/default/files/standards_for_pharmacy_professionals_may_2017_0.pdf.

Anti-Sp4 and Anti-CCAR1 autoantibodies in UK vs. US patients with adult and juvenile-onset anti-TIF1ƴ-positive myositis

Anti-Sp4 and Anti-CCAR1 autoantibodies in UK vs. US patients with adult and juvenile-onset anti-TIF1ƴ-positive myositis

Utilization of Artificial Intelligence in the Creation of Patient Information on Laryngology Topics.

To evaluate and compare the readability and quality of patient information generated by Chat-Generative Pre-Trained Transformer-3.5 (ChatGPT) and the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) using validated instruments including Flesch-Kincaid Grade Level (FKGL), Flesch Reading Ease, DISCERN, and Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P). ENTHealth.org and ChatGPT-3.5 were queried for patient information on laryngology topics. ChatGPT-3.5 was queried twice for a given topic to evaluate for reliability. This generated three de-identified text documents for each topic: one from AAO-HNS and two from ChatGPT (ChatGPT Output 1, ChatGPT Output 2). Grade level and reading ease were compared between the three sources using a one-way analysis of variance and Tukey's post hoc test. Independent t-tests were used to compare DISCERN and PEMAT understandability and actionability scores between AAO-HNS and ChatGPT Output 1. Material generated from ChatGPT Output 1 and ChatGPT Output 2 were at least two reading grade levels higher than that of material from AAO-HNS (p < 0.001). Regarding reading ease, ChatGPT Output 1 and ChatGPT Output 2 documents had significantly lower mean scores compared to AAO-HNS (p < 0.001). Moreover, ChatGPT Output 1 material on vocal cord paralysis had a lower PEMAT-P understandability compared to that of AAO-HNS material (p > 0.05). Patient information on the ENTHealth.org website for select laryngology topics was, on average, of a lower grade level and higher reading ease compared to that produced by ChatGPT, but interestingly with largely no difference in the quality of information provided. NA Laryngoscope, 2024.

Ảnh hưởng của bệnh đi kèm trên kết cục đột quỵ thiếu máu não cấp

Background: Comorbidities that help predict poor outcomes in patients with acute ischemic stroke play a part in treatment planning and provide necessary information for patients and their families. Objective: Identify comorbidities that can predict poor outcomes 90 days after the onset of acute ischemic stroke. Subjects and methods: Prospective study including 150 acute ischemic stroke patients at Trieu An Hospital, Ho Chi Minh City. Subjects recruited upon admission were collected NIHSS score and comorbidities. Subjects had modified Rankin scores collected 90 days after disease onset. Univariate analysis and multivariate regression analysis were used to determine the role of variables on stroke outcomes. Results: The mean age was 65, male accounts for 62.0%. There were 8 factors univariately associated with poor outcome after 90 days of acute ischemic stroke onset: NIHSS, age, atrial fibrillation, valvular heart disease, coronary artery disease, heart failure, extracranial atherosclerosis and dementia. Among them, dementia is an independent prognostic factor for poor outcomes through multivariate analysis. The number of comorbidities is closely related to poor outcomes, the number of comorbidities ≥ 3 predicts patients with poor outcomes after 90 days of disease onset with a sensitivity of 96.6%; Specificity was 88.0%; The area under the curve was 96.3%. Conclusion: In acute ischemic stroke patients with comorbidities ≥ 3, the patient's prognosis is poor. In addition, dementia is an independent prognostic factor of poor outcome after 90 days from disease onset.

Enhanced predictability and interpretability of COVID-19 severity based on SARS-CoV-2 genomic diversity: a comprehensive study encompassing four years of data.

Despite the end of the global Coronavirus Disease 2019 (COVID-19) pandemic, the risk factors for COVID-19 severity continue to be a pivotal area of research. Specifically, studying the impact of the genomic diversity of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) on COVID-19 severity is crucial for predicting severe outcomes. Therefore, this study aimed to investigate the impact of the SARS-CoV-2 genome sequence, genotype, patient age, gender, and vaccination status on the severity of COVID-19, and to develop accurate and robust prediction models. The training set (n = 12,038), primary testing set (n = 4,006), and secondary testing set (n = 2,845) consist of SARS-CoV-2 genome sequences with patient information, which were obtained from Global Initiative on Sharing all Individual Data (GISAID) spanning over four years. Four machine learning methods were employed to construct prediction models. By extracting SARS-CoV-2 genomic features, optimizing model parameters, and integrating models, this study improved the prediction accuracy. Furthermore, Shapley Additive exPlanes (SHAP) was applied to analyze the interpretability of the model and to identify risk factors, providing insights for the management of severe cases. The proposed ensemble model achieved an F-score of 88.842% and an Area Under the Curve (AUC) of 0.956 on the global testing dataset. In addition to factors such as patient age, gender, and vaccination status, over 40 amino acid site mutation characteristics were identified to have a significant impact on the severity of COVID-19. This work has the potential to facilitate the early identification of COVID-19 patients with high risks of severe illness, thus effectively reducing the rates of severe cases and mortality.

Elephantiasis and its cure: case report

Introduction: Lymphedema is a clinical condition stemming from a lymphatic system failure. The insufficiency of the lymphatic system can causes the abnormal accumulation of protein-rich fluid in the interstitial, which triggers a adverse consequence such a and fibrosis. This study describes a case of a patient who has been cured of elephantiasis for ten years but continues to have lymphedema. Description case: Patient information: A 78-year-old woman had a history of bilateral lower limb lymphedema, clinical diagnosis that had been worsening throughout her life bilateral despite undergoing treatment and had progressed to stage III (elephantiasis). Clinical findings: The patient was sent to the Clínica Godoy-Sao Jose do Rio Preto-Brazil ten years ago and reported having undergone several forms of treatment, but without impeding the progression of the condition. Therapeutic intervention: The patient was submitted to intensive treatment for three weeks, during which time a 21-kilogram reduction in weight and a 66-cm reduction in circumference occurred. After three weeks, the patient began undergoing treatment at home with laced compression stockings. At the follow-up evaluation, electrical bioimpedance analysis, perimeter measurements and volumetry were performed, which revealed the reduction in lymphedema to standards of normality. The patient has completed 10 years of treatment and has maintained the results using compression stockings. Conclusion: Elephantiasis is curable, but lymphedema is not. Like any other chronic disease, constant treatment is needed to maintain the results.

Artificial Intelligence Chatbots (ChatGPT and Google Gemini) Versus Traditional Patient Information Leaflets for Local Anesthesia in Eye Surgery: Correspondence

Artificial Intelligence Chatbots (ChatGPT and Google Gemini) Versus Traditional Patient Information Leaflets for Local Anesthesia in Eye Surgery: Correspondence

Remote Foot Temperature Monitoring Among Veterans: Large Observational Study of Noncompliance and Its Correlates.

In-home remote foot temperature monitoring (RTM) holds promise as a method to reduce foot ulceration in high-risk patients with diabetes. Few studies have evaluated adherence to this method or evaluated the factors associated with noncompliance. The aims of this study were to estimate noncompliance in patients who were enrolled in RTM nationwide across Department of Veterans Affairs (VA) and to evaluate characteristics associated with noncompliance. We conducted an observational study including 1137 patients in the VA who were enrolled in RTM between January 2019 and June 2021, with follow-up through October 2021. Patient information was obtained from the VA's electronic health record and RTM use was obtained from the company. Noncompliance was defined as using the mat <2 days per week for ≥4 of the 12 months of follow-up. Using a multivariable model, we calculated odds ratios (ORs) and 95% CIs for associations between various factors and noncompliance and compared using Akaike information criterion statistics, a measure of model fit. The sample was predominantly male (n=1125, 98.94%) ; 21.1% (n=230) were Black and 75.7% (n=825) were White. Overall, 37.6% (428/1137) of patients were classified as noncompliant. In the multivariable model, an intermediate area deprivation index was statistically significantly and inversely associated with noncompliance (area deprivation index 50-74 vs 1-24; OR 0.56, 95% CI 0.35-0.89); factors significantly and positively associated with noncompliance included recent history of osteomyelitis (OR 1.44, 95% CI 1.06-1.97), Gagne comorbidity index score ≥4 (vs ≤0; OR 1.81, 95% CI 1.15-2.83), telehealth encounters (28+ vs <6; OR 1.70, 95% CI 1.02-2.84), hemoglobin A1c≥10 (vs <5.7; OR 2.67, 95% CI 1.27-5.58), and current smoking (OR 2.06, 95% CI 1.32-3.20). Based on Akaike information criterion differences, the strongest factors associated with noncompliance were behavioral factors (poor glucose control [as measured by hemoglobin A1c] and smoking), and to a lesser extent, factors such as a recent history of osteomyelitis and an elevated Gagne comorbidity index, indicating a high comorbidity burden. To reduce the risk of ulcer recurrence and amputation, proactively providing additional support for self-monitoring to patients with characteristics identified in this study (poor glucose control, current smoking, high comorbidity burden) may be helpful. Furthermore, research is needed to better understand barriers to use, and whether the addition of design features, reminders, or incentives may reduce noncompliance and the risk of foot ulcers.

An Integrated Multimodal-Based CAD System for Breast Cancer Diagnosis

Breast cancer has been one of the main causes of death among women recently, and it has been the focus of attention of many specialists and researchers in the health field. Because of its seriousness and spread speed, breast cancer-resisting methods, early diagnosis, diagnosis, and treatment have been the points of research discussion. Many computers-aided diagnosis (CAD) systems have been proposed to reduce the load on physicians and increase the accuracy of breast tumor diagnosis. To the best of our knowledge, combining patient information, including medical history, breast density, age, and other factors, with mammogram features from both breasts in craniocaudal (CC) and mediolateral oblique (MLO) views has not been previously investigated for breast tumor classification. In this paper, we investigated the effectiveness of using those inputs by comparing two combination approaches. The soft voting approach, produced from statistical information-based models (decision tree, random forest, K-nearest neighbor, Gaussian naive Bayes, gradient boosting, and MLP) and an image-based model (CNN), achieved 90% accuracy. Additionally, concatenating statistical and image-based features in a deep learning model achieved 93% accuracy. We found that it produced promising results that would enhance the CAD systems. As a result, this study finds that using both sides of mammograms outperformed the result of using only the infected side. In addition, integrating the mammogram features with statistical information enhanced the accuracy of the tumor classification. Our findings, based on a novel dataset, incorporate both patient information and four-view mammogram images, covering multiple classes: normal, benign, and malignant.

ChatGPT as a Source for Patient Information on Patellofemoral Surgery—A Comparative Study Amongst Laymen, Doctors, and Experts

Introduction: In November 2022, OpenAI launched ChatGPT for public use through a free online platform. ChatGPT is an artificial intelligence (AI) chatbot trained on a broad dataset encompassing a wide range of topics, including medical literature. The usability in the medical field and the quality of AI-generated responses are widely discussed and are the subject of current investigations. Patellofemoral pain is one of the most common conditions among young adults, often prompting patients to seek advice. This study examines the quality of ChatGPT as a source of information regarding patellofemoral conditions and surgery, hypothesizing that there will be differences in the evaluation of responses generated by ChatGPT between populations with different levels of expertise in patellofemoral disorders. Methods: A comparison was conducted between laymen, doctors (non-orthopedic), and experts in patellofemoral disorders based on a list of 12 questions. These questions were divided into descriptive and recommendatory categories, with each category further split into basic and advanced content. Questions were used to prompt ChatGPT in April 2024 using the ChatGPT 4.0 engine, and answers were evaluated using a custom tool inspired by the Ensuring Quality Information for Patients (EQIP) instrument. Evaluations were performed independently by laymen, non-orthopedic doctors, and experts, with the results statistically analyzed using a Mann–Whitney U Test. A p-value of less than 0.05 was considered statistically significant. Results: The study included data from seventeen participants: four experts in patellofemoral disorders, seven non-orthopedic doctors, and six laymen. Experts rated the answers lower on average compared to non-experts. Significant differences were observed in the ratings of descriptive answers with increasing complexity. The average score for experts was 29.3 ± 5.8, whereas non-experts averaged 35.3 ± 5.7. For recommendatory answers, experts also gave lower ratings, particularly for more complex questions. Conclusion: ChatGPT provides good quality answers to questions concerning patellofemoral disorders, although questions with higher complexity were rated lower by patellofemoral experts compared to non-experts. This study emphasizes the potential of ChatGPT as a complementary tool for patient information on patellofemoral disorders, although the quality of the answers fluctuates with the complexity of the questions, which might not be recognized by non-experts. The lack of personalized recommendations and the problem of “AI hallucinations” remain a challenge. Human expertise and judgement, especially from trained healthcare experts, remain irreplaceable.

Online video versus face-to-face patient-surgeon consultation: a systematic review.

Online video consultation (OVC) is increasingly used in patient-surgeon pre-surgical and follow-up consultation but a comprehensive review assessing its benefits and downsides as compared to face-to-face (F2F) consultation is currently lacking. This systematic review evaluated the effectiveness of OVC as compared to F2F consultation. A literature search (Ovid/Medline, Embase, and Clarivate Analytics/Web of Science Core Collection) was conducted including studies comparing efficacy, patient and surgeon satisfaction, and information recall between OVC and F2F patient-surgeon consultation (inception-December 4, 2023). Out of 1021 studies, 14 studies with 13,564 patients met the eligibility criteria, consisting of seven RCTs, three prospective, and four retrospective studies. Various types of surgical consultations were evaluated, including new referrals, routine follow-ups, postoperative follow-ups, and mixed consultations (both pre- and postoperative). None of the randomized trials exclusively compared OVC with F2F consultations in the high-demand preoperative setting, or assessed patient information recall. Efficacy outcomes were reported by seven studies. Among these, three RCTs showed that OVC improved efficacy in terms of waiting time (8.2 vs. 20.7 min, P = 0.01) and total appointment time (24 vs 71 min, P = 0.001, and 21.9 vs. 154.8 min, P = 0.001). Patient satisfaction was reported by 10 studies. Regarding patient satisfaction, one "mixed design" study favoured OVC (92% vs. 63%, P = 0.04), while eight studies reported similar outcomes. This systematic review identified some benefits of OVC such as shorter waiting and total appointment times as compared to F2F patient-surgeon consultation, although the true value of OVC remains unknown due to the limited available evidence. Future pragmatic RCTs are needed, which should include the pre-surgical consultation and assess patient information recall.

Management of inoperable malignant bowel obstruction using the 4-step BOUNCED diet.

Malignant bowel obstruction (MBO) presents with multiple symptoms. The 4-step BOUNCED diet educates patients to self-manage oral intake according to symptoms. It includes clear fluids, thin liquids, purée and soft, sloppy foods, which are low in fibre. This mixed methods single-arm feasibility study aimed to establish if the diet could reduce MBO symptoms in patients with inoperable colorectal and gynaecological malignancies. The secondary objectives were to investigate if it was easily followed, improved quality of life (QOL) and reduced hospital admissions. Patients able to tolerate an oral diet with one or more symptoms (pain, bloating, early satiety, nausea and vomiting) were eligible. Following informed consent, an oncology dietitian took a diet history and determined which step of the diet they needed to follow using a detailed patient information leaflet. Patients remained on the trial for 28 days. Symptom and QOL data were collected on Days 1 and 28 using the Memorial Symptom Assessment Scale and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC-QLQ-C30) questionnaires. Thirty patients (24 female, 6 male) aged 18-85 years consented from March 2021 to November 2022. Twenty-six participants completed the trial and 25 found the diet very easy or easy to understand. There was a significant reduction in pain from 96% on Day 1 to 63% on Day 28 (p = 0.004). The mean increase of EORTC global health status/QOL was 23.5 points, 95% CI (12.4-32.5) (p ≤ 0.001). There was a significant difference between number of admissions (p = 0.018) and bed days (p = 0.004) in the 28 days prior to consent compared to the trial period. A modified consistency low-fibre diet is easily followed, may reduce symptoms of MBO, admissions to hospital and improve QOL.

Charting a course: Use of Electronic Health Records in skills‐based pharmacy education

AbstractIntroductionCompetent navigation of an electronic health record (EHR) has become a critical skill for health professionals, and pharmacists need to be adept in EHR utilization given the extent of EHR involvement in routine medication management. Limited data exists related to current approaches to teaching EHR skills in pre‐Advanced Pharmacy Practice Experiences (pre‐APPE) pharmacy curricula.ObjectivesThe purpose of this study was to describe activities, utilization, and barriers to implementation of teaching EHRs (tEHRs) into pharmacy curricula in skills‐based courses.MethodsFaculty members of the Big Ten Academic Alliance Skills‐Based Education and Assessment Collaborative (BTAA‐SBEAC) were surveyed. The questionnaire included open‐ended questions related to tEHR type, curriculum placement, and current use of tEHRs, as well as barriers to incorporation of tEHRs in the curriculum. Inductive content analysis was used to evaluate qualitative responses.ResultsA representative from all 10 colleges within the BTAA responded. Most programs focused on EHR teaching in the second and third years of the curriculum. All respondents reported having access to a tEHR for internal case building. The tEHR was used by all institutions to allow students to practice in gathering patient information as the first step in the Pharmacists' Patient Care Process. Other activities commonly performed using the tEHR included patient care documentation, medication order verification, prescription processing, and medication reconciliation. Faculty time and cost were barriers identified for successful tEHR implementation.ConclusionMultiple skills are taught through the utilization of a tEHR among the colleges within the BTAA. These activities vary between institutions, and barriers exist that limit expansion and consistent integration across a skills‐based curriculum. Recognition of EHR utilization as an essential pharmacy skill can allow for development of formalized learning outcomes, leading to better support and integration throughout skills‐based courses.

Analysis of clinicopathological factors associate with the visibility of early gastric cancer in endoscopic examination and usefulness of linked color imaging: A multicenter prospective study.

This study investigated clinicopathological factors associated with the visibility of early gastric cancer and the efficacy of linked color imaging. Patients with early gastric cancer who underwent endoscopic treatment between April 2021 and July 2022 were enrolled. All cases underwent white light imaging and linked color imaging. Three experts evaluated lesion visibility using a visual analog scale. A mean score ≥3 on white light imaging was defined as "good visibility", and <3 as "poor visibility". We extracted patient information and endoscopic and pathological data for the lesion and background mucosa, analyzed factors associated with the visibility of early gastric cancer, and compared visibility between white light imaging and linked color imaging. Ninety-seven lesions were analyzed, with good visibility in 49 and poor visibility in 48. Multivariate analysis revealed small lesion size (odds ratio 1.89) and presence of endoscopic intestinal metaplasia (odds ratio 0.49) as significantly associated with the poor visibility of early gastric cancer. Mean visibility score was significantly higher for linked color imaging (P<0.001). Mean score for linked color imaging was significantly higher in the poor visibility group (P<0.001), but not significantly different in the good visibility group (P = 0.292). Mean score was significantly higher with linked color imaging in cases with endoscopic intestinal metaplasia (P = 0.0496) and lesions <20 mm in diameter (<10 mm, P = 0.002; 10-20 mm, P = 0.004). Lesion size and endoscopic intestinal metaplasia are associated with the visibility of early gastric cancer in white light imaging. Linked color imaging improves visibility of gastric cancer with these factors.

Study on virtual tooth image generation utilizing CF-fill and Pix2pix for data augmentation.

Traditional dental prosthetics require a significant amount of work, labor, and time. To simplify the process, a method to convert teeth scan images, scanned using an intraoral scanner, into 3D images for design was developed. Furthermore, several studies have used deep learning to automate dental prosthetic processes. Tooth images are required to train deep learning models, but they are difficult to use in research because they contain personal patient information. Therefore, we propose a method for generating virtual tooth images using image-to-image translation (pix2pix) and contextual reconstruction fill (CR-Fill). Various virtual images can be generated using pix2pix, and the images are used as training images for CR-Fill to compare the real image with the virtual image to ensure that the teeth are well-shaped and meaningful. The experimental results demonstrate that the images generated by the proposed method are similar to actual images. In addition, only using virtual images as training data did not perform well; however, using both real and virtual images as training data yielded nearly identical results to using only real images as training data.

Implementing an intelligent diagnosis and treatment system for in-hospital cardiac arrest in the Utstein style: a multi-center case study

BackgroundCardiac arrest presents a variety of causes and complexities, making it challenging to develop targeted treatment plans. Often, the original data are either inadequate or lack essential patient information. In this study, we introduce an intelligent system for diagnosing and treating in-hospital cardiac arrest (IHCA), aimed at improving the success rate of cardiopulmonary resuscitation and restoring spontaneous circulation.MethodsTo compensate for insufficient or incomplete data, a hybrid mega trend diffusion method was used to generate virtual samples, enhancing system performance. The core of the system is a modified episodic deep reinforcement learning module, which facilitates the diagnosis and treatment process while improving sample efficiency. Uncertainty analysis was performed using Monte Carlo simulations, and dependencies between different parameters were assessed using regular vine copula. The system's effectiveness was evaluated using ten years of data from Utstein-style IHCA registries across seven hospitals in China's Hebei Province.ResultsThe system demonstrated improved performance compared to other models, particularly in scenarios with inadequate data or missing patient information. The average reward scores in two key stages increased by 2.3–9 and 9.9–23, respectively.ConclusionsThe intelligent diagnosis and treatment effectively addresses IHCA, providing reliable diagnosis and treatment plans in IHCA scenarios. Moreover, it can effectively induce cardiopulmonary resuscitation and restoration of spontaneous circulation processes even when original data are insufficient or basic patient information is missing.