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opencc-zeroDec 2015View details →

Data from: Medical expenditure for chronic diseases in Mexico: the case of selected diagnoses treated by the largest care providers

Background: Chronic diseases (CD) are a public health emergency in Mexico. Despite concern regarding the financial burden of CDs in the country, economic studies have focused only on diabetes, hypertension, and cancer. Furthermore, these estimated financial burdens were based on hypothetical epidemiology models or ideal healthcare scenarios. The present study estimates the annual expenditure per patient and the financial burden for the nine most prevalent CDs, excluding cancer, for each of the two largest public health providers in the country: the Ministry of Health (MoH) and the Mexican Institute of Social Security (IMSS). Methods: Using the Mexican National Health and Nutrition Survey 2012 (ENSANUT) as the main source of data, health services consumption related to CDs was obtained from patient reports. Unit costs for each provided health service (e.g. consultation, drugs, hospitalization) were obtained from official reports. Prevalence data was obtained from the published literature. Annual expenditure due to health services consumption was calculated by multiplying the quantity of services consumed by the unit cost of each health service. Results: The most expensive CD in both health institutions was chronic kidney disease (CKD), with an annual unit cost for MoH per patient of US$ 8,966 while for IMSS the expenditure was US$ 9,091. Four CDs (CKD, arterial hypertension, type 2 diabetes, and chronic ischemic heart disease) accounted for 88% of the total CDs financial burden (US$ 1.42 billion) in MoH and 85% (US$ 3.96 billion) in IMSS. The financial burden of the nine CDs analyzed represents 8% and 25% of the total annual MoH and IMSS health expenditure, respectively. Conclusions/Significance: The financial burden from the nine most prevalent CDs, excluding cancer, is already high in Mexico. This finding by itself argues for the need to improve health promotion and disease detection, diagnosis, and treatment to ensure CD primary and secondary prevention. If the status quo remains, the financial burden could be higher.

opencc-zeroSep 2021View details →

Anti-seizure medication use during pregnancy and risk of ASD and ADHD in children

Objective: To determine whether children born to women who use anti-seizure medications (ASMs) during pregnancy have higher risk of autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) independent of confounding factors. Methods: We used Swedish-register data (n=14,614 children born 1996-2011 and followed through 2013) to examine associations in children of women with epilepsy, using the largest sample to date and adjusting for a range of measured confounders. We examined maternal-reported first-trimester use of any ASM (22.7%); and the three most commonly reported individual drugs (valproic acid, 4.8%; lamotrigine, 6.8%; and carbamazepine, 9.7%). We identified ASD with ICD-10 diagnoses and ADHD with ICD-10 diagnoses or filled prescriptions of ADHD medication. Results: Examination of individual drugs revealed that after adjustment for confounding, use of valproic acid was associated with ASD (Hazard Ratio=2.30, 95%CI=1.53-3.47) and ADHD (HR=1.74, 95%CI=1.28-2.38). Whereas a small, non-statistically significant association with ASD (HR=1.25, 95%CI=0.88-1.79) and ADHD (HR=1.18, 95%CI=0.91-1.52) remained for reported use of carbamazepine, confounding explained all of the associations with lamotrigine (HRASD=0.86, 95%CI=0.67-1.53; HRADHD=1.01, 95%CI=0.67-1.53). Conclusions: We found no evidence of risk related to exposure to lamotrigine, whereas we observed elevated risk of ASD and ADHD related to maternal use of valproic acid. Associations with carbamazepine were weak and not statistically significant. Our findings add to a growing body of evidence that suggest that certain ASMs may be safer than others in pregnancy.

opencc-zeroSep 2021View details →

Evaluating the educational effectiveness of a structured, simulator-assisted, peer-led training on cardiovascular physical examination in third-year medical students: A randomized, controlled trial

Background: Previous research suggests that cardiac examination skills in undergraduate medical students frequently need improvement. There are different ways to enhance physical examination (PE) skills such as simulator-based training or peer-assisted learning (PAL). Aim: The aim of this study was to evaluate the effectiveness of a structured, simulator-assisted, peer-led training on cardiovascular PE. Methods: Participants were third-year medical students at Leipzig University Faculty of Medicine. Students were randomly assigned to an intervention group (IG) and a control group (CG). In addition to standard curricular training, IG received a peer-led, simulator-based training in cardiac PE. Participant performance in cardiac PE was assessed using a standardized checklist with a maximum of 25 points. Primary outcome was assessed via checklist point distribution. Results: 89 students were randomised to either CG (n = 43) or IG (n = 46) with 70 completing the study. Overall, IG students performed significantly better than CG students did (max. points: 25, IG M ± SD in IG was 17 ± 3, in CG 12 ± 4, p < .0001). Simple mistakes such as not using the stethoscope correctly were more frequent in CG students. Prior experience did not lead to a significant difference in performance. Conclusions: Structured, peer-led and simulator-assisted teaching sessions improve cardiac PE skills in this setting compared to control students that did not receive this training.

opencc-by-4.0Oct 2021View details →

Additional File 1 and Notebook Code for "Machine learning approaches for hospital acquired pressure injuries: a retrospective study of electronic medical records"

Supplementary materials (Pressure_Injuries_Additional_File_1_final_double_blind.pdf) and Jupyter Notebook code (HAPI_Prediction_Script.pdf) developed as supplement for study "Machine learning approaches for hospital acquired pressure injuries: a retrospective study of electronic medical records".

opencc-by-4.0Dec 2018View details →

Medical-Translator

[PlanTL/medicine/neural machine translation/translation models] The files needed to use the Neural Machine Translation system for the Biomedical Domain. The available language directions for translation are: English to Spanish, Spanish to English, English to Portuguese, Portuguese to English, Spanish to Portuguese and Portuguese to Spanish.

opencc-zeroNov 2022View details →

Study of the medical service efficiency of county-level public general hospitals based on medical quality constraints: A cross-sectional study

Objectives: Since the new medical reform in 2009, county-level hospitals in China have achieved rapid development, but health resource waste and shortage issues still exist. Design: We applied the Meta-frontier and SBM-undesirable(Slacks-based Measurement-undesirable) DEA(Data Envelopment Analysis) model to measure the medical service efficiency with or without medical quality constraints of the county-level public general hospitals (CPGHs). The assessment includes four inputs, three desirable outputs, and one undesirable output. We conducted the assessment via Max-DEA V.8.19 software. Moreover, we analyze the factors affecting CPGHs' medical service efficiency based on the FRM model. Setting: A total of 77 sample CPGHs were selected from Shanxi province in China from 2013 to 2018. Results: The results of this study showed that the efficiency level of county-level public hospitals in Shanxi Province is relatively low overall (the mean value of efficiency is 0.61 without quality constraints and 0.63 under quality constraints). This showed that ignoring medical quality constraints will result in lower efficiency and lower health resource utilization for high-medical-quality hospitals. The medical service efficiency of CPGHs differs greatly among different regions. Under the meta-frontier, the hospitals in the central region had the highest efficiency (efficiency score 0.70), followed by those in the south (efficiency score 0.63), and the hospitals in the north had the lowest efficiency (efficiency score 0.54). Factors that have larger impacts on the service efficiency of county public hospitals are the average length of hospital stay, per capita disposable income and financial subsidy income. Conclusions: To improve CPGHs' medical service efficiency, the government should increase investment in the northern region, and hospitals should improve the management level and allocate human resources rationally.

opencc-zeroDec 2022View details →

Effects of medication intake on the risk of haemorrhage in patients with sporadic cerebral cavernous malformations

Objective: Recurrent intracerebral hemorrhage (ICH) poses a high risk for patients with cerebral cavernous malformations (CCMs). This study aimed to assess the influence of medication intake on hemorrhage risk in sporadic CCMs. Results: A total of 1116 patients with CCM were included. Logistic regression analysis showed a significant correlation (OR: 0.520, 95% CI: 0.284–0.951, p = 0.034) between antithrombotic therapy and ICH as a mode of presentation. Cox regression analysis revealed no significant correlation between medication intake and occurrence of (re-)hemorrhage (hazard ratios: betablockers 1.270 [95% CI: 0.703–2.293], statins 0.543 [95% CI: 0.194–1.526], antithrombotic therapy 0.507 [95% CI: 0.182–1.410], and thyroid hormones 0.834 [95% CI: 0.378–1.839]). Conclusion: In this observational study, antithrombotic treatment was associated with the tendency to a lower rate of ICH as a mode of presentation n a large cohort of patients with sporadic CCM. Intake of beta blockers, statins, and thyroid hormones had no eect on hemorrhage as a mode of presentation. During the 5-year follow-up period, none of the drugs aected the further risk Q7 of (re-)hemorrhage.

openapache2.0Feb 2023View details →

NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization

Accessing medical literature is difficult for laypeople as the content is written for specialists and contains medical jargon. Automated text simplification methods offer a potential means to address this issue. In this work, we propose a summarize-then-simplify two-stage strategy, which we call NapSS, identifying the relevant content to simplify while ensuring that the original narrative flow is preserved. In this approach, we first generate reference summaries via sentence matching between the original and the simplified abstracts. These summaries are then used to train an extractive summarizer, learning the most relevant content to be simplified. Then, to ensure the narrative consistency of the simplified text, we synthesize auxiliary narrative prompts combining key phrases derived from the syntactical analyses of the original text. Our model achieves results significantly better than the seq2seq baseline on an English medical corpus, yielding 3%~4% absolute improvements in terms of lexical similarity, and providing a further 1.1% improvement of SARI score when combined with the baseline. We also highlight shortcomings of existing evaluation methods, and introduce new metrics that take into account both lexical and high-level semantic similarity. A human evaluation conducted on a random sample of the test set further establishes the effectiveness of the proposed approach.

opencc-zeroApr 2023View details →

Use of the Electronic Medical Record to screen for high-risk geriatric patients in the Emergency Department

Introduction Older adults with multi-morbidities have the highest rate of ED usage. These patients are typically on numerous medications, may have underlying dementia, and often present with falls and delirium. Identifying these high-risk older adults for possible intervention is challenging in the ED setting since available screening methods are manual and resource-intensive. The objective is to study the feasibility of using the Electronic Medical Record (EMR) for identifying high-risk older adults in Emergency Department (ED). Study Setting Academic ED with 67,000 total and 24% geriatric (age ≥ 65 years) annual visits, American College of Emergency Physician (ACEP) accredited Level 1 Geriatric Emergency Department with ED-based geriatric consultation program. Materials and Methods This is a feasibility study incorporating criteria from existing manual geriatric screening instruments and the 4M framework into an automated EMR screen to identify high-risk geriatric patients. ED providers were then alerted by an EMR Best Practice Alert (BPA) if high-risk status was identified. Initial development and impact on geriatric ED consults are reported. Results During the study period, 7,450 patient encounters occurred; 1,836 (24.6%) encounters involved patients who were 65 years or older. 1398 (76.1%) high-risk ED encounters resulted in BPA alerts using the EMR automated screen. BPA alerts resulted in 82 (5.9%) geriatric evaluations. Conclusion Using the EMR to automate screening for older adults for high-risk geriatric conditions in the ED is feasible. An automated EMR screen with a BPA to ED providers identified a well-defined cohort of older patients appropriate for further ED geriatric evaluation.

opencc-by-4.0Aug 2022View details →

Leadership Competency - a Cross Sectional Study with Medical Graduates in a University of China from the Transformational Perspective

A total of 851 medical graduate freshmen from seven hospitals affiliated to Capital Medical University (CMU) participated in this study. A survey was conducted to assess their leadership competency from three different perspectives using Socially Responsible Leadership Scale (SRLS), Emotionally Intelligent Leadership for students Inventory (EILI) and the Student Leadership Practices Inventory (SLPI).

opencc-by-4.0Apr 2023View details →

Effectiveness of Using 2D Atlas and 3D PDF as a Teaching Tool in Anatomy Lectures in Initial Learner Medical Students: A Randomized Controlled Trial

Dataset Info 1) Immediate Test # The first row of the dataset identifies the columns. # The first column represents the participant ids. # The second column represents the participants' assigned group. # The third column represents represents the genders of participants (1: Female, 2: Male) # The fourth column represents the years of participants' in their six-year-long medical schools (1: Year-1 students, 2: Year-2 students). # The fifth column represents participants' repeating year status. (0: No, 1: Yes) # The sixth to the fifteenth columns (liver_q1_max2points to liver_q10_max2points) represent the scores in the first to tenth questions of the liver test. Maximum points of the questions can be seen on the first row of the relevant column. # The sixteenth column (livertotalscore_max20points) represents the total score in the liver test. # The seventeenth to the thirty fifth columns (genitalia_q1_max3points to genitalia_q19_max2points) represent the scores in the first to nineteenth questions of the genitalia test. Maximum points of the questions can be seen on the first row of the relevant column. # The thirty sixth column (genitaliatotalscore_max40points) represents the total score in the genitalia test.   2) Delayed Test # The first row of the dataset identifies the columns. # The first column represents the participant ids. # The second column represents the participants' assigned group. # The third column represents represents the genders of participants (1: Female, 2: Male) # The fourth column represents the years of participants' in their six-year-long medical schools (1: Year-1 students, 2: Year-2 students). # The fifth column represents participants' repeating year status. (0: No, 1: Yes) # The sixth to the fifteenth columns (liver_q1_max2points to liver_q10_max2points) represent the scores in the first to tenth questions of the liver test. Maximum points of the questions can be seen on the first row of the relevant column. # The sixteenth column (livertotalscore_max20points) represents the total score in the liver test. # The seventeenth to the thirty fifth columns (genitalia_q1_max3points to genitalia_q19_max2points) represent the scores in the first to nineteenth questions of the genitalia test. Maximum points of the questions can be seen on the first row of the relevant column. # The thirty sixth column (genitaliatotalscore_max40points) represents the total score in the genitalia test.

opencc-by-4.0May 2023View details →

Current situation of the hospitalization of persons without family in Japan and related medical challenges

This study aims to determine the approximate number of hospitalizations of persons without family and the medical challenges they encounter in hospitals across Japan. Self-administered questionnaires were mailed to 4,000 randomly selected hospitals nationwide to investigate the actual conditions and problems, decision-making processes, and use of the government-recommended Guidelines for the hospitalization of, and decision-making support for, persons without family.

opencc-by-4.0May 2023View details →

Adsorbed polymer conjugates to adaptively inhibit blood coagulation activation by medical membranes

Dataset to the manuscript 'Adsorbed polymer conjugates to adaptively inhibit blood coagulation activation by medical membranes' Tina Helmecke, Dominik Hahn, André Ruland, Mikhail V. Tsurkan, Manfred F. Maitz, Carsten Werner

opencc-by-3.0-usJun 2023View details →

Distance learning and face-to-face learning in medical PBL course during COVID-19 pandemic: an investigation and teaching experience

Our research provides an experience for the PBL class focusing on discussion and communication. In the post-pandemic era, whether face-to-face or distance learning, classes should be adjusted properly to let students conduct effective communication in time.

opencc-by-4.0Jun 2023View details →

PubChem Compound TOC: Drug and Medication Information

ABSTRACT: PubChem, a widely used chemical information resource, has undergone notable transformations in the last two years. Over 120 data sources have been incorporated into PubChem, enriching its data repository. Key highlights of the updates include the integration of Google Patents data, which significantly expanded the PubChem Patent collection's coverage. Additionally, new data collections for Cell Line and Taxonomy were introduced, offering convenient access to chemical information based on specific cell lines and taxa. The bioassay data model was updated to enhance its functionality. Moreover, PubChem's programmatic access protocols, PUG-REST and PUG-View, received enhancements, including support for target-centric data download and the 'standardize' option for returning standardized chemical structures. Furthermore, PubChemRDF underwent a substantial update. This paper presents a comprehensive overview of these transformative changes. Instruction: Data underwent a cleaning process involving the removal of duplicates. Collaboratively with my colleague, we identified and eliminated redundant columns from the dataset. Additionally, we successfully modified the names of certain columns to enhance clarity and eliminate redundancy. Inspiration: The dataset was uploaded to UBRITE for "DGR_DEPOT" summer 2023 team project Acknowledgements: Sunghwan Kim, Jie Chen, Tiejun Cheng, Asta Gindulyte, Jia He, Siqian He, Qingliang Li, Benjamin A Shoemaker, Paul A Thiessen, Bo Yu, Leonid Zaslavsky, Jian Zhang, Evan E Bolton Kim, Sunghwan et al. “PubChem 2023 update.” Nucleic Acids Res. vol. 51,D1 (2023): D1373-D1380. <a href="https://doi.org/10.1093/nar/gkac956">doi:10.1093/nar/gkac956</a> UBRITE LAST UPDATED July 1, 2023

opencc-by-4.0Oct 2023View details →

Components related to ethical decision making in medical science students: A structural equation model

Open the record for dataset details and reuse information.

restrictedIPD-UNDECIDEDFeb 2026View details →

My MediHealth: A Paradigm for Children-centered Medication Management

ClinicalTrials.gov study NCT01730235. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

Impact of Training of GPs on Adherence of Hypertensive Individuals to Antihypertensive Medication

ClinicalTrials.gov study NCT00330408. IPD Sharing: Not stated. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

Comparative Effectiveness of Palliative Surgery Versus Additional Anti-Seizure Medications for Lennox-Gastaut Syndrome

ClinicalTrials.gov study NCT05374824. IPD Sharing: NO. Countries: 1. Publications: 1.