Browsing by Author "John, Rita Marie"
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- ItemThe effect of a mobile clinical decision support system on the diagnosis of obesity and overweight in acute and primary care encounters.(2009-08-26) Lee, Nam-Ju; Chen, Elizabeth S; Currie, Leanne M; Donovan, Mary; Hall, Elizabeth K; Jia, Haomiao; John, Rita Marie; Bakken, SuzanneThe 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
- ItemPredictors of depression screening rates of nurses receiving a personal digital assistant-based reminder to screen.(2010-07-09) Schnall, Rebecca; Currie, Leanne M; Jia, Haomiao; John, Rita Marie; Lee, Nam-Ju; Velez, Olivia; Bakken, SuzanneThe purpose of this study was to determine if race ethnicity payer type or nursing specialty affected depression screening rates in primary care settings in which nurses received a reminder to screen The sample comprised 4 160 encounters in which nurses enrolled in advanced practice training were prompted to screen for depression using the Patient Health Questionnaire PHQ 2 PHQ 9 integrated into a personal digital assistant based clinical decision support system for depression screening and management Nurses chose to screen in response to 52 5 of reminders Adjusted odds ratios showed that payer type and nurse specialty but not race ethnicity significantly predicted proportion of patients screened
- ItemPsychometric evaluation of the attitudes toward Handheld Decision Support Software Scale in a sample of nursing students.(2011-04-22) Schnall, Rebecca; Velez, Olivia; John, Rita Marie; Bakken, SuzanneValid measures of attitudes are an important component of developing and testing educational interventions aimed at improving technology acceptance The aim of this study was to assess the construct validity factor analysis and discriminant validity internal consistency reliability Cronbach and responsiveness independent samples t test of the Attitudes toward Handheld Decision Support Software Scale in a sample of 103 nursing students engaged in a set of curricular activities focused on enabling safe and evidence based nursing practice through the use of information technology Principal components factor analysis resulted in three factors ease of use and usefulness clinical support and barriers to use that explained 55 49 of the variance Internal consistency reliability estimates ranged from 61 to 82 Factor scores did not discriminate between nursing students who owned a PDA and those who did not There were no significant changes in factors scores over time responsiveness This study provides preliminary evidence for the factorial structure of the Handheld Decision Support Software Scale and internal consistency of two of the three factor scales Further exploration of the construct validity internal consistency and responsiveness is warranted