Browsing by Author "Jia, Haomiao"
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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
- ItemMeasuring health status and symptom burden using a web-based mHealth application in patients with heart failure.(0000-00-00) Baik, Dawon; Reading, Meghan; Jia, Haomiao; Grossman, Lisa V; Masterson Creber, RuthBACKGROUND Symptoms of heart failure markedly impair a patient s health status The aim of this study was to identify predictors of health status in a sample of racially and ethnically diverse patients with heart failure using a web based mobile health application mi Symptoms METHODS We conducted a cross sectional study at an urban academic medical center Patients with heart failure self reported symptoms using validated symptom instruments e g patient reported outcome measurement information system by way of the mobile health application mi Symptoms The primary study outcome was health status measured with the Kansas City cardiomyopathy questionnaire clinical summary score Data were analyzed using descriptive statistics and multiple linear regression RESULTS The mean age of the sample n 168 was 58 7 12 5 years 37 were women 36 were Black 36 identified as Hispanic Latino 48 were classified as New York Heart Association class III and 44 reported not having enough income to make ends meet Predictors of better health status in heart failure included higher physical function 0 89 p 0 001 and ability to participate in social roles and activities 0 58 p 0 002 and predictors of poorer health status were New York Heart Association class IV 11 68 p 0 006 and dyspnea 0 77 pUnder0 001 The predictors accounted for 73 of the variance in health status CONCLUSION Patient centered interventions should focus on modifiable risk factors that reduce dyspnea improve functional status and enhance engagement in social roles to improve the health status of patients with heart failure
- 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