The effect of a mobile clinical decision support system on the diagnosis of obesity and overweight in acute and primary care encounters.

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dc.contributor.authorLee, Nam-Ju
dc.contributor.authorChen, Elizabeth S
dc.contributor.authorCurrie, Leanne M
dc.contributor.authorDonovan, Mary
dc.contributor.authorHall, Elizabeth K
dc.contributor.authorJia, Haomiao
dc.contributor.authorJohn, Rita Marie
dc.contributor.authorBakken, Suzanne
dc.date.accessioned2020-02-06T16:44:32Z
dc.date.available2020-02-06T16:44:32Z
dc.date.issued2009-08-26
dc.description.abstractThe purpose of the study was to compare the proportion of obesity related diagnoses in clinical encounters N 1874 documented by nurses using a personal digital assistant based log with and without obesity decision support features The experimental group encounters in the randomized controlled trial had significantly more P 000 obesity related diagnoses 11 3 than did the control group encounters 1 and a significantly lower false negative rate 24 5 vs 66 5 P 000 The study findings provide evidence that integration of a decision support feature that automatically calculates an obesity related diagnosis increases diagnoses and decreases missed diagnoses and suggest that such systems have the potential to improve the quality of obesity related care
dc.identifier.urihttp://dx.doi.org/10.1097/ANS.0b013e3181b0d6bf
dc.identifier.urihttps://lib.digitalsquare.io/xmlui/handle/123456789/3884
dc.relation.uriANS. Advances in nursing science
dc.titleThe effect of a mobile clinical decision support system on the diagnosis of obesity and overweight in acute and primary care encounters.en
dcterms.abstractThe purpose of the study was to compare the proportion of obesity related diagnoses in clinical encounters N 1874 documented by nurses using a personal digital assistant based log with and without obesity decision support features The experimental group encounters in the randomized controlled trial had significantly more P 000 obesity related diagnoses 11 3 than did the control group encounters 1 and a significantly lower false negative rate 24 5 vs 66 5 P 000 The study findings provide evidence that integration of a decision support feature that automatically calculates an obesity related diagnosis increases diagnoses and decreases missed diagnoses and suggest that such systems have the potential to improve the quality of obesity related care
dcterms.contributorLee, Nam-Ju
dcterms.contributorChen, Elizabeth S
dcterms.contributorCurrie, Leanne M
dcterms.contributorDonovan, Mary
dcterms.contributorHall, Elizabeth K
dcterms.contributorJia, Haomiao
dcterms.contributorJohn, Rita Marie
dcterms.contributorBakken, Suzanne
dcterms.identifierhttp://dx.doi.org/10.1097/ANS.0b013e3181b0d6bf
dcterms.relationANS. Advances in nursing science
dcterms.titleThe effect of a mobile clinical decision support system on the diagnosis of obesity and overweight in acute and primary care encounters.en
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