Assessing print and electronic use of reference/core medical textbooks.
Ontology highlight
ABSTRACT:
SUBMITTER: Ugaz AG
PROVIDER: S-EPMC2268228 | biostudies-literature | 2008 Apr
REPOSITORIES: biostudies-literature
Publications
Assessing print and electronic use of reference/core medical textbooks.
Journal of the Medical Library Association : JMLA 20080401 2
Similar Datasets
Project description:electronic Medical Records & Genomics (eMERGE)
| PRJNA158491 | ENA
Project description:Despite medical Spanish program proliferation to teach clinicians the language skills to communicate effectively with Spanish-speaking patients, course material selection remains a challenge. We conducted a scoping review to systematically identify medical Spanish textbooks, evaluate utility, and identify gaps. On average, language reviewers scored books lower than medical reviewers. Medical and language professionals present complementary perspectives to evaluating medical Spanish educational materials.Supplementary informationThe online version contains supplementary material available at 10.1007/s40670-021-01333-8.
| S-EPMC8368469 | biostudies-literature
Project description:To characterize patterns of electronic medical record (EMR) use at pediatric primary care acute visits.Direct observational study of 529 acute visits with 27 experienced pediatric clinician users.For each 20 s interval and at each stage of the visit according to the Davis Observation Code, we recorded whether the physician was communicating with the family only, using the computer while communicating, or using the computer without communication. Regression models assessed the impact of clinician, patient and visit characteristics on overall visit length, time spent interacting with families, and time spent using the computer while interacting.The mean overall visit length was 11:30 (min:sec) with 9:06 spent in the exam room. Clinicians used the EMR during 27% of exam room time and at all stages of the visit (interacting, chatting, and building rapport; history taking; formulation of the diagnosis and treatment plan; and discussing prevention) except the physical exam. Communication with the family accompanied 70% of EMR use. In regression models, computer documentation outside the exam room was associated with visits that were 11% longer (p=0.001), and female clinicians spent more time using the computer while communicating (p=0.003).The 12 study practices shared one EMR.Among pediatric clinicians with EMR experience, conversation accompanies most EMR use. Our results suggest that efforts to improve EMR usability and clinician EMR training should focus on use in the context of doctor-patient communication. Further study of the impact of documentation inside versus outside the exam room on productivity is warranted.
| S-EPMC3005866 | biostudies-other
Project description:Many molecular biology and biochemistry instructors have altered their classroom behavior in favor of evidence-based, active learning instructional strategies. Overwhelming evidence confirms that lecture-only classrooms are detrimental to student learning outcomes, but we know less about the impact textbooks have on students outside the classroom. Two influential projects, the AP Biology redesign and Vision and Change, called for extensive restructuring of course content and hoped that textbooks would be restructured accordingly. This study evaluated all figures and tables from two introductory biology textbooks to quantify how well they implement recommendations from Vision and Change and AP Biology redesign. We documented significant differences among figures and tables when looking for experimental data, questions for students to answer, and quantitative interpretation. Using think-aloud interviews, we interrogated whether students engage differently with figures from the two textbooks. When figures provided take-home messages, students relied on written text rather than analyzing the graphical information for their understanding. Students frequently employed words from summaries within the figures to construct "inflated explanations" that mimicked comprehension.
| S-EPMC8248048 | biostudies-literature
Project description:BackgroundMeasuring the appropriateness of antibiotic use is crucial for antibiotic stewardship (ABS) programmes to identify targets for interventions.ObjectivesTo assess the technical feasibility of converting electronic medical record (EMR) data into ABS indicators.MethodsIn this observational feasibility study covering a period of 2 years, the EMRs of patients hospitalized at a large non-university hospital network and receiving at least one dose of a systemic antibiotic were included. ABS indicators measuring steps in the process of antibiotic prescription proposed by the literature were collected and rephrased or defined more specifically to be calculable if needed. Algorithms were programmed in R to convert EMR data into ABS indicators. The indicators were visualized in an interactive dashboard and the plausibility of each output value was assessed.ResultsIn total, data from 25 337 hospitalizations from 20 723 individual patients were analysed and visualized in an interactive dashboard. Algorithms could be programmed to compute 89% (25/28) of all pre-selected indicators assessing treatment decisions automatically out of EMR data, with good data quality for 46% (13/28) of these indicators. According to the data quality observed, the most important issues were (i) missing or meaningless information on indication (e.g. 'mild infection') and (ii) data processing issues such as insufficiently categorized metadata.ConclusionsThe calculation of indicators assessing treatment decisions from EMRs was feasible. However, better data structure and processing within EMR systems are crucial for improving the validity of the results.
| S-EPMC10477111 | biostudies-literature
Project description:BackgroundPrevious studies have assessed note quality and the use of electronic medical record (EMR) as a part of medical training. However, a generalized and user-friendly note quality assessment tool is required for quick clinical assessment. We held a medical record writing competition and developed a checklist for assessing the note quality of participants' medical records. Using the checklist, this study aims to explore note quality between residents of different specialties and offer pedagogical implications.MethodsThe authors created an inpatient checklist that examined fundamental EMR requirements through six note types and twenty items. A total of 149 records created by residents from 32 departments/stations were randomly selected. Seven senior physicians rated the EMRs using a checklist. Medical records were grouped as general medicine, surgery, paediatric, obstetrics and gynaecology, and other departments. The overall and group performances were analysed using analysis of variance (ANOVA).ResultsOverall performance was rated as fair to good. Regarding the six note types, discharge notes (0.81) gained the highest scores, followed by admission notes (0.79), problem list (0.73), overall performance (0.73), progress notes (0.71), and weekly summaries (0.66). Among the five groups, other departments (80.20) had the highest total score, followed by obstetrics and gynaecology (78.02), paediatrics (77.47), general medicine (75.58), and surgery (73.92).ConclusionsThis study suggested that duplication in medical notes and the documentation abilities of residents affect the quality of medical records in different departments. Further research is required to apply the insights obtained in this study to improve the quality of notes and, thereby, the effectiveness of resident training.
| S-EPMC8590775 | biostudies-literature
Project description:BackgroundThe increased use of electronic medical records (EMRs) in Canadian primary health care practice has resulted in an expansion of the availability of EMR data. Potential users of these data need to understand their quality in relation to the uses to which they are applied. Herein, we propose a basic model for assessing primary health care EMR data quality, comprising a set of data quality measures within four domains. We describe the process of developing and testing this set of measures, share the results of applying these measures in three EMR-derived datasets, and discuss what this reveals about the measures and EMR data quality. The model is offered as a starting point from which data users can refine their own approach, based on their own needs.MethodsUsing an iterative process, measures of EMR data quality were created within four domains: comparability; completeness; correctness; and currency. We used a series of process steps to develop the measures. The measures were then operationalized, and tested within three datasets created from different EMR software products.ResultsA set of eleven final measures were created. We were not able to calculate results for several measures in one dataset because of the way the data were collected in that specific EMR. Overall, we found variability in the results of testing the measures (e.g. sensitivity values were highest for diabetes, and lowest for obesity), among datasets (e.g. recording of height), and by patient age and sex (e.g. recording of blood pressure, height and weight).ConclusionsThis paper proposes a basic model for assessing primary health care EMR data quality. We developed and tested multiple measures of data quality, within four domains, in three different EMR-derived primary health care datasets. The results of testing these measures indicated that not all measures could be utilized in all datasets, and illustrated variability in data quality. This is one step forward in creating a standard set of measures of data quality. Nonetheless, each project has unique challenges, and therefore requires its own data quality assessment before proceeding.
| S-EPMC6373085 | biostudies-literature
Project description:Background: The microbiome is increasingly being linked to cancer risk. Little is known about the lung and oral cavity microbiomes in healthy smokers (SM), and even less for electronic cigarette (EC) users, compared healthy never-smokers (NS). Methods: In a cross-sectional pilot study of SM (N=8), EC users (N=10) and NS (N=10) saliva and bronchoscopy-collected bronchoalveolar lavage samples were collected. Bacteria species were identified through metatranscriptome profiling by RNA-sequencing to study associations with the lung and oral microbiome. Pairwise comparisons and linear modeling was assessed with false discovery rates <0.1. Results: Total bacterial load was similar for the SM, EC users and NS, and there was no differences in the bacterial diversity across groups. In the lung, there were 44 bacterial species that were statistically significantly different for SM/NS, 80% of which were decreased in the SM. There were 12 bacterial species that were different for SM/EC users, all of which were decreased, 10 of which were also identified in the SM/NS comparison. The 2 bacterial species unique to SM/EC comparison were Neisseria sp. KEM232 and Curvibacter sp. AEP1-3. From the top 5 decreased species in SM/EC, 3 were also identified in the SM/NS comparison (Neisseria elongata, Neisseria sicca, and Haemophilus parainfluenzae) and 2 of these were unique to the SM/EC comparison (Neisseria zoodegmatis and Ottowia sp. oral taxon 894). There were 8 species increased in SM compared to NS, none of which are known to be clinically significant. In the oral microbiome, 152 bacteria species were differentially abundant for the SM/NS analysis, and only 17 for the EC/NS comparison, all which were also present in SM/NS comparisons. There were 21 bacteria that were differentially abundant in both the lung and oral cavity for SM and NS, 95% also were decreased in the SM. Conclusion: Smoking and EC use do not appear to materially affect the lung microbiome, although differences are noted of unclear clinical significance. Most differentially abundant bacteria decreased, which may be due to a toxic effect of cigarette smoke, including a change in humidity or heating. Given the low number of overlapping oral and lung microbes, the oral microbiome does not appear to be a good surrogate for smoking-related effects in the lung.
2022-07-13 | GSE180785 | GEO
Project description: Not available
| S-EPMC1773050 | biostudies-literature
Project description:ObjectivesThe purpose of the Health Sciences Library System (HSLS) electronic book (e-book) study was to assess use, and factors affecting use, of e-books by all patron groups of an academic health sciences library serving both university and health system-affiliated patrons.MethodsA web-based survey was distributed to a random sample (n=5,292) of holders of library remote access passwords. A total of 871 completed and 108 partially completed surveys were received, for an approximate response rate of 16.5%-18.5%, with all user groups represented. Descriptive and chi-square analysis was done using SPSS 17.ResultsLibrary e-books were used by 55.4% of respondents. Use by role varied: 21.3% of faculty reported having assigned all or part of an e-book for class readings, while 86% of interns, residents, and fellows reported using an e-book to support clinical care. Respondents preferred print for textbooks and manuals and electronic format for research protocols, pharmaceutical, and reference books, but indicated high flexibility about format choice. They rated printing and saving e-book content as more important than annotation, highlighting, and bookmarking features.ConclusionsRespondents' willingness to use alternate formats, if convenient, suggests that libraries can selectively reduce title duplication between print and e-books and still support library user information needs, especially if publishers provide features that users want. Marketing and user education may increase use of e-book collections.
| S-EPMC3133903 | biostudies-literature