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Biomedical subjects

Roland M Grad

Publications and source records attributed to Roland M Grad.

4 recordsLinked to original sources

Impact of clinical information-retrieval technology on physicians: a literature review of quantitative, qualitative and mixed methods studies.

PURPOSE: This paper appraises empirical studies examining the impact of clinical information-retrieval technology on physicians and medical students. METHODS: The world literature was reviewed up to February 2004. Two reviewers independently identified studies by scrutinising 3368 and 3249 references from bibliographic databases. Additional studies were retrieved by hand searches, and by searching ISI Web of Science for citations of articles. Six hundred and five paper-based articles were assessed for relevance. Of those, 40 (6.6%) were independently appraised by two reviewers for relevance and methodological quality. These articles were quantitative, qualitative or of mixed methods, and 26 (4.3%) were retained for further analysis. For each retained article, two teams used content analysis to review extracted textual material (quantitative results and qualitative findings). RESULTS: Observational studies suggest that nearly one-third of searches using information-retrieval technology may have a positive impact on physicians. Two experimental and three laboratory studies do not reach consensus in support of a greater impact of this technology compared with other sources of information, notably printed educational material. Clinical information-retrieval technology may affect physicians, and further research is needed to examine its impact in everyday practice.

Attitude of Health Personnel↗

Assessing the impact of clinical information-retrieval technology in a family practice residency.

RATIONALE AND OBJECTIVE: Evidence-based sources of information do not integrate self-assessment tools to assess the impact of a users' search for clinical information. We present a method to evaluate evidence-based sources of information, by systematically assessing the impact of searches for clinical information in everyday practice. METHODS: We integrated an information management tool (InfoRetriever 2003) with an educational intervention in a cohort of 26 family medicine residents. An electronic impact assessment scale was used by these doctors to report the perceived impact of each item of information (each hit) retrieved on hand-held computer. We compared the types of impact associated with hits in two distinct categories: clinical decision support systems (CDSS) vs. clinical information-retrieval technology (CIRT). Information hits in CDSS were defined as any hit in the following InfoRetriever databases: Clinical Prediction Rules, History and Physical Exam diagnostic calculator and Diagnostic Test calculator. CIRT information hits were defined as any hit in: Abstracts of Cochrane Reviews, InfoPOEMs, evidence-based practice guideline summaries and the Griffith's 5 Minute Clinical Consult. RESULTS: The impact assessment questionnaire was linked to 5160 information hits. 4946 impact assessment questionnaires were answered (95.9%), and 2495 contained reports of impact (48.4%). Reports of positive impact on doctors were most frequently in the areas of learning and practice improvement. In comparison to CDSS, CIRT hits were more frequently associated with learning and recall. CDSS hits were more frequently associated with reports of practice improvement. CONCLUSIONS: Our new method permits systematic and comparative assessment of impact associated with distinct categories of information.

Cohort Studies↗

A new impact assessment method to evaluate knowledge resources.

RATIONALE: Methods to systematically measure the impact of knowledge resources on health professionals would enhance evaluation of these resources in the real world. OBJECTIVE: To propose a new impact assessment method. BACKGROUND: We demonstrated the feasibility of combining a 4-level scale with Computerized Ecological Momentary Assessment (CEMA) for efficiently measuring the impact of a knowledge resource. METHOD: We critically reviewed the world literature regarding the impact of clinical information-retrieval technology on trainees and doctors, and retained 26 papers for qualitative content analysis. FINDINGS: Of those, 21 use a nominal scale (yes/no), none systematically measures the impact of searches for information outside of a laboratory setting, and none uses an ordinal scale. The literature supports the proposed levels of impact, and suggests a fifth level. CONCLUSION: A new impact assessment method is proposed, which combines a 5-level revised scale and CEMA.

Databases as Topic↗

Effect of a PDA-assisted evidence-based medicine course on knowledge of common clinical problems.

BACKGROUND AND OBJECTIVES: It is not yet known if personal digital assistant (PDA)-assisted evidence-based medicine (EBM) courses in postgraduate training enhance knowledge of common clinical problems. This study's objective was to determine if PDA-assisted EBM training would improve clinical knowledge. METHODS: In a controlled trial, intervention group residents received InfoRetriever on a PDA coupled with an EBM course integrated within clinical rotations in family medicine. The effect of the intervention and the rate of use of InfoRetriever on a written test of knowledge were evaluated after adjusting for baseline knowledge scores. The test measured knowledge of primary care management of hypertension and diabetes as well as estimation of disease probability. RESULTS: There was no effect on first posttest knowledge scores of the intervention overall or of the rate with which participants had used InfoRetriever during the intervention. However, when intervention group residents retook the test with access to InfoRetriever while taking the knowledge test, scores increased 7.4% (+2.4 correct test questions). Access to InfoRetriever Clinical Prediction Rules on a PDA, however, had an unclear effect on residents' ability to estimate disease probability. CONCLUSIONS: There was no effect of a PDA-assisted EBM course on knowledge test scores, although using the PDA during the test results in higher scores. It is unclear if using PDA Clinical Prediction Rules can improve residents' estimates of disease probability.

Adult↗