BACKGROUND: Recognition of high blood pressure (BP) in children is poor, partly due to the need to compute age-sex-height referenced percentiles. This study examined the change in abnormal BP recognition before versus after the introduction of an electronic health record (EHR) app designed to calculate BP percentiles with a training lecture. METHODS AND RESULTS: Clinical data were extracted on all ambulatory, non-urgent encounters for children 3-18 years old seen in primary care, endocrinology, cardiology, or nephrology clinics at an urban, academic hospital in the year before and the year after app introduction. Outpatients with at least 1 BP above the age-gender-height referenced 90th percentile were included. Abnormal BP recognition was defined as a BP related ICD-9 code, referral to nephrology or cardiology, an echocardiogram or renal ultrasound to evaluate BP concern, or a follow-up primary care visit for BP monitoring. Multivariable adjusted logistic regression compared odds of recognition before and after app introduction. Of 78 768 clinical encounters, 3521 had abnormal BP in the pre- and 3358 in the post-app period. App use occurred in 13% of elevated BP visits. Overall, abnormal BP was recognized in 4.9% pre-app period visits and 7.1% of visits post-app (P < .0001). Recognition was significantly higher when the app was actually used (adjusted OR 3.17 95% CI 2.29-4.41, P < .001). Without app use recognition was not different. CONCLUSIONS: BP app advent modestly increased abnormal BP recognition in the entire cohort, but actual app use was associated with significantly higher recognition. Predictors of abnormal BP recognition deserve further scrutiny.
BACKGROUND: Recognition of high blood pressure (BP) in children is poor, partly due to the need to compute age-sex-height referenced percentiles. This study examined the change in abnormal BP recognition before versus after the introduction of an electronic health record (EHR) app designed to calculate BP percentiles with a training lecture. METHODS AND RESULTS: Clinical data were extracted on all ambulatory, non-urgent encounters for children 3-18 years old seen in primary care, endocrinology, cardiology, or nephrology clinics at an urban, academic hospital in the year before and the year after app introduction. Outpatients with at least 1 BP above the age-gender-height referenced 90th percentile were included. Abnormal BP recognition was defined as a BP related ICD-9 code, referral to nephrology or cardiology, an echocardiogram or renal ultrasound to evaluate BP concern, or a follow-up primary care visit for BP monitoring. Multivariable adjusted logistic regression compared odds of recognition before and after app introduction. Of 78 768 clinical encounters, 3521 had abnormal BP in the pre- and 3358 in the post-app period. App use occurred in 13% of elevated BP visits. Overall, abnormal BP was recognized in 4.9% pre-app period visits and 7.1% of visits post-app (P < .0001). Recognition was significantly higher when the app was actually used (adjusted OR 3.17 95% CI 2.29-4.41, P < .001). Without app use recognition was not different. CONCLUSIONS: BP app advent modestly increased abnormal BP recognition in the entire cohort, but actual app use was associated with significantly higher recognition. Predictors of abnormal BP recognition deserve further scrutiny.
Authors: Paul W Franks; Robert L Hanson; William C Knowler; Maurice L Sievers; Peter H Bennett; Helen C Looker Journal: N Engl J Med Date: 2010-02-11 Impact factor: 91.245
Authors: Brian K Kit; Elena Kuklina; Margaret D Carroll; Yechiam Ostchega; David S Freedman; Cynthia L Ogden Journal: JAMA Pediatr Date: 2015-03 Impact factor: 16.193
Authors: Jonna Juhola; Costan G Magnussen; Gerald S Berenson; Alison Venn; Trudy L Burns; Matthew A Sabin; Sathanur R Srinivasan; Stephen R Daniels; Patricia H Davis; Wei Chen; Mika Kähönen; Leena Taittonen; Elaine Urbina; Jorma S A Viikari; Terence Dwyer; Olli T Raitakari; Markus Juonala Journal: Circulation Date: 2013-06-18 Impact factor: 29.690
Authors: Kenneth D Mandl; Joshua C Mandel; Shawn N Murphy; Elmer Victor Bernstam; Rachel L Ramoni; David A Kreda; J Michael McCoy; Ben Adida; Isaac S Kohane Journal: J Am Med Inform Assoc Date: 2012-03-17 Impact factor: 4.497
Authors: Elyse O Kharbanda; Steve E Asche; Alan R Sinaiko; Heidi L Ekstrom; James D Nordin; Nancy E Sherwood; Patricia L Fontaine; Steven P Dehmer; Deepika Appana; Patrick O'Connor Journal: Pediatrics Date: 2018-02 Impact factor: 7.124
Authors: Kensaku Kawamoto; Polina Kukhareva; Julie H Shakib; Heidi Kramer; Salvador Rodriguez; Phillip B Warner; David Shields; Charlene Weir; Guilherme Del Fiol; Teresa Taft; Carole H Stipelman Journal: JAMA Netw Open Date: 2019-11-01
Authors: Kensaku Kawamoto; Polina V Kukhareva; Charlene Weir; Michael C Flynn; Claude J Nanjo; Douglas K Martin; Phillip B Warner; David E Shields; Salvador Rodriguez-Loya; Richard L Bradshaw; Ryan C Cornia; Thomas J Reese; Heidi S Kramer; Teresa Taft; Rebecca L Curran; Keaton L Morgan; Damian Borbolla; Maia Hightower; William J Turnbull; Michael B Strong; Wendy W Chapman; Travis Gregory; Carole H Stipelman; Julie H Shakib; Rachel Hess; Jonathan P Boltax; Joseph P Habboushe; Farrant Sakaguchi; Kyle M Turner; Scott P Narus; Shinji Tarumi; Wataru Takeuchi; Hideyuki Ban; David W Wetter; Cho Lam; Tanner J Caverly; Angela Fagerlin; Chuck Norlin; Daniel C Malone; Kimberly A Kaphingst; Wendy K Kohlmann; Benjamin S Brooke; Guilherme Del Fiol Journal: JAMIA Open Date: 2021-07-31