Time filter

Source Type

Pluye P.,McGill University | Grad R.M.,McGill University | Johnson-Lafeur J.,Information Technology Primary Care Research Group ITPCRG | Ranikov V.G.,Information Technology Primary Care Research Group ITPCRG | And 2 more authors.
Annals of Family Medicine | Year: 2013

PURPOSE We wanted to describe family physicians' use of information from an electronic knowledge resource for answering clinical questions, and their perception of subsequent patient health outcomes; and to estimate the number needed to benefit from information (NNBI), defined as the number of patients for whom clinical information was retrieved for 1 to benefit. METHODS We undertook a mixed methods research study, combining quantitative longitudinal and qualitative research studies. Participants were 41 family physicians from primary care clinics across Canada. Physicians were given access to 1 electronic knowledge resource on handheld computer in 2008-2009. For the outcome assessment, participants rated their searches using a validated method. Rated searches were examined during interviews guided by log reports that included ratings. Cases were defined as clearly described searches where clinical information was used for a specific patient. For each case, interviewees described information-related patient health outcomes. For the mixed methods data analysis, quantitative and qualitative data were merged into clinical vignettes (each vignette describing a case). We then estimated the NNBI. RESULTS In 715 of 1,193 searches for information conducted during an average of 86 days, the search objective was directly linked to a patient. Of those searches, 188 were considered to be cases. In 53 cases, participants associated the use of information with at least 1 patient health benefit. This finding suggested an NNBI of 14 (715/53). CONCLUSION The NNBI may be used in further experimental research to compare electronic knowledge resources. A low NNBI can encourage clinicians to search for information more frequently. If all searches had benefits, the NNBI would be 1. In addition to patient benefits, learning and knowledge reinforcement outcomes are frequently reported.


Grad R.,McGill University | Pluye P.,McGill University | Granikov V.,Information Technology Primary Care Research Group ITPCRG | Johnson-Lafleur J.,Information Technology Primary Care Research Group ITPCRG | And 6 more authors.
Journal of the American Society for Information Science and Technology | Year: 2011

Inspired by the acquisition-cognition-application model (T. Saracevic & K.B. Kantor, 1997), we developed a tool called the Information Assessment Method to more clearly understand how physicians use clinical information. In primary healthcare, we conducted a naturalistic and longitudinal study of searches for clinical information. Forty-one family physicians received a handheld computer with the Information Assessment Method linked to one commercial electronic knowledge resource. Over an average of 320 days, 83% of 2,131 searches for clinical information were rated using the Information Assessment Method. Searches to address a clinical question, as well as the retrieval of relevant clinical information, were positively associated with the use of that information for a specific patient. Searches done out of curiosity were negatively associated with the use of clinical information. We found significant associations between specific types of cognitive impact and information use for a specific patient. For example, when the physician reported "My practice was changed and improved" as a result of this clinical information, the odds that information was used for a specific patient increased threefold. Our findings provide empirical data to support the applicability of the acquisition-cognition-application model, as operationalized through the Information Assessment Method, in primary healthcare. Capturing the use of research-based information in medicine opens the door to further study of the relationships between clinical information and health outcomes. © 2011 ASIS&T.

Loading Information Technology Primary Care Research Group ITPCRG collaborators
Loading Information Technology Primary Care Research Group ITPCRG collaborators