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Biomedical subjects

Michael L Astion

Publications and source records attributed to Michael L Astion.

9 recordsLinked to original sources

Online database for documenting clinical pathology resident education.

BACKGROUND: Training of clinical pathologists is evolving and must now address the 6 core competencies described by the Accreditation Council for Graduate Medical Education (ACGME), which include patient care. A substantial portion of the patient care performed by the clinical pathology resident takes place while the resident is on call for the laboratory, a practice that provides the resident with clinical experience and assists the laboratory in providing quality service to clinicians in the hospital and surrounding community. Documenting the educational value of these on-call experiences and providing evidence of competence is difficult for residency directors. An online database of these calls, entered by residents and reviewed by faculty, would provide a mechanism for documenting and improving the education of clinical pathology residents. METHODS: With Microsoft Access we developed an online database that uses active server pages and secure sockets layer encryption to document calls to the clinical pathology resident. Using the data collected, we evaluated the efficacy of 3 interventions aimed at improving resident education. RESULTS: The database facilitated the documentation of more than 4 700 calls in the first 21 months it was online, provided archived resident-generated data to assist in serving clients, and demonstrated that 2 interventions aimed at improving resident education were successful. CONCLUSIONS: We have developed a secure online database, accessible from any computer with Internet access, that can be used to easily document clinical pathology resident education and competency.

Clinical Competence↗

A 2-year study of Gram stain competency assessment in 40 clinical laboratories.

We used a computer-based competency assessment tool for Gram stain interpretation to assess the performance of 278 laboratory staff from 40 laboratories on 40 multiple-choice questions. We report test reliability, mean scores, median, item difficulty, discrimination, and analysis of the highest- and lowest-scoring questions. The questions were reliable (KR-20 coefficient, 0.80). Overall mean score was 88% (range, 63%-98%). When categorized by cell type, the means were host cells, 93%; other cells (eg, yeast), 92%; gram-positive, 90%; and gram-negative, 88%. When categorized by type of interpretation, the means were other (eg, underdecolorization), 92%; identify by structure (eg, bacterial morphologic features), 91%; and identify by name (eg, genus and species), 87%. Of the 6 highest-scoring questions (mean scores, > or = 99%) 5 were identify by structure and 1 was identify by name. Of the 6 lowest-scoring questions (mean scores, < 75%) 5 were gram-negative and 1 was host cells. By type of interpretation, 2 were identify by structure and 4 were identify by name. Computer-based Gram stain competency assessment examinations are reliable. Our analysis helps laboratories identify areas for continuing education in Gram stain interpretation and will direct future revisions of the tests.

Computer-Assisted Instruction↗

Clinical impact associated with corrected results in clinical microbiology testing.

We developed a strategy to determine the clinical impact associated with errors in clinical microbiology testing. Over a 9-month period, we used a sequential three-stage method to prospectively evaluate 480 consecutive corrected microbiology laboratory reports. The three stages were physician review of the corrected report, medical record review, and interview with the clinician(s) taking care of the patient. Of the 480 corrected reports, 301 (62.7%) were ruled out for significant clinical impact by physician review and an additional 25 cases (5.2%) were ruled out for clinical impact by medical record review. This left 154 cases (32.1%) that required clinician interview to determine clinical impact. The clinician interview revealed that 32 (6.7%) of the corrected reports were associated with adverse clinical impact. Of these 32 cases, 19 (59.4%) involved delayed therapy, 8 (25.0%) involved unnecessary therapy, 8 (25.0%) were associated with inappropriate therapy, and 4 (12.5%) were associated with an increased level of care. The laboratory was entirely responsible for the error in 28 (87.5%) of the 32 cases and partially responsible in the other 4 cases (12.5%). Twenty-six (81.3%) of the 32 cases involved potentially preventable analytic errors that were due to lack of knowledge (cognitive error). In summary, we used evaluation of corrected reports to identify laboratory errors with adverse clinical impact, and most of the errors were amenable to laboratory-based interventions. Our method has the potential to be implemented in other laboratory settings to identify and characterize errors that impact patient safety.

Bacteria↗

Toward complete and accurate reporting of studies of diagnostic accuracy. The STARD initiative.

Our objective was to improve the accuracy and completeness of reporting of studies of diagnostic accuracy, to allow readers to assess the potential for bias in the study, and to evaluate its generalizability. The Standards for Reporting of Diagnostic Accuracy Steering Committee searched the literature to identify publications on the appropriate conduct and reporting of diagnostic studies and extracted potential items into an extensive list. Researchers, editors, and members of professional organizations shortened this list during a 2-day consensus meeting with the goal of developing a checklist and a generic flow diagram for studies of diagnostic accuracy. The search for published guidelines regarding diagnostic research yielded 33 previously published checklists, from which we extracted a list of 75 potential items. At the consensus meeting, participants shortened the list to a 25-item checklist, using evidence whenever available. A prototypical flow diagram provides information about the method of patient recruitment, the order of test execution, and the numbers of patients undergoing the test under evaluation, the reference standard, or both. Evaluation of research depends on complete and accurate reporting. If medical journals adopt the checklist and the flow diagram, the quality of reporting of studies of diagnostic accuracy should improve, to the advantage of clinicians, researchers, reviewers, journals, and the public.

Algorithms↗

Using interactive software to teach image-based clinical laboratory tests in developing countries: a pilot trial in Nepal.

This study explores the feasibility of using computer tutorials to train laboratory personnel in Nepal. Training incorporated three software programs that teach microscope-based laboratory tests (peripheral blood smears, urinalysis, Gram stains). Forty-seven participants attended training sessions and completed a questionnaire. The participants' overall perception was: 1) the software was superior to formal lectures for learning image-based laboratory tests (43 participants, 92%); 2) the software would enhance job performance (43 participants, 92%); 3) more subjects should be taught using software (40 participants, 85%); and 4) the software helped participants learn new materials (38 participants, 81%). Considering that 79% of the participants were novice computer users, it is noteworthy that 38 (81%) participants thought the method of instruction was easy to understand. Factors contributing to learning included: 1) the resemblance of the computer images to actual microscope images derived from patient samples (37 participants, 68%); 2) the use of multiple examples of cells and other microscopic structures (28 participants, 60%); 3) the ability to interact with images and animations (23 participants, 49%); 4) the step-by-step explanation of laboratory techniques (21 participants, 45%); and 5) the self-pacing of the tutorial (12 participants, 26%). Overall, the pilot study suggests that educational software could help train clinical laboratory personnel in developing countries.

Adolescent↗

Characteristics of educational software use in 106 clinical laboratories.

The University of Washington, Seattle, has developed educational software for clinical laboratories. We used a 32-question survey to study software implementation. Of 106 clinical laboratories (response rate, 60%) that purchased the software and completed the survey, 89 laboratories (84%) that reported using the software formed the basis for the study. The most common software users were laboratory personnel, followed by medical technologist or medical laboratory technician students, residents, and medical students; the mean (SD) number of personnel categories using the software per laboratory was 1.8 (0.8). The most common reasons for use were initial instruction, cross-training, and competency assessment. The most frequent setting for software use was an area where laboratory testing occurred, followed by a dedicated training location, a location chosen by the employee, a classroom, and a distance learning mode. On a scale of 1 (poor) to 5 (excellent), the average satisfaction rating as an instructional tool was 4.4 and as a competency assessment tool, 4.2. Compared with laboratories in hospitals with 400 beds or fewer, laboratories in hospitals with more than 400 beds used the software for more categories of users (P = .008), had a higher proportion of laboratories using it for residents (P = .003), and had a higher proportion of laboratories with dedicated training areas (P = .02).

Clinical Laboratory Techniques↗