Presentation of body mass index within an electronic health record to improve weight assessment and counselling in children and adolescents.
ABSTRACT Assessment of weight and counselling on nutrition and physical activity is infrequently conducted during well child visits, despite recent expert recommendations.
We investigated whether automatic calculation of body mass index (BMI) in an electronic health record improved assessment of weight and counselling on nutrition and physical activity.
Retrospective review of well child visit records of children between two and 18 years of age (n =550) before and after implementation of an electronic health record system at an academic medical centre's paediatric clinic. Body mass index was automatically calculated and presented within the electronic health record. We measured clinicians' documentation of assessment of weight status, and assessment of and counselling for nutrition and physical activity risk factors.
Documentation of assessment of BMI and weight status did not increase. There were no consistent increases in assessment for or counselling on specific nutrition and physical activity behaviours, except with respect to high calorie food intake. Although overall assessment of physical activity decreased, physical activity counselling significantly increased. Documentation of the presence of high-risk family history increased significantly; the provision of counselling for high-risk family history did not show any corresponding increase. Patients with higher BMI percentile scores were more completely assessed for weight status. Completeness of weight status assessment was associated with increased counselling for nutrition and physical activity.
Passive changes, such as automatic calculation of BMI, are insufficient to result in systematic improvements in assessment of weight and counselling for nutrition and physical activity.
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ABSTRACT: "The Pregnancy and Health Profile," (PHP) is a free genetic risk assessment software tool for primary prenatal providers that collects patient-entered family (FHH), personal, and obstetrical health history, performs risk assessment, and presents the provider with clinical decision support during the prenatal encounter. The tool is freely available for download at www.hughesriskapps.net. We evaluated the implementation of PHP in four geographically diverse clinical sites. Retrospective chart reviews were conducted for patients seen prior to the study period and for patients who used the PHP to collect data on documentation of FHH, discussion of cystic fibrosis (CF) and hemoglobinopathy (HB) carrier screening, and CF and HB interventions (tests, referrals). Five hundred pre-implementation phase and 618 implementation phase charts were reviewed. Documentation of a 3-generation FHH or pedigree improved at three sites; patient race/ethnicity at three sites, father of the baby (FOB) race/ethnicity at all sites, and ancestry for the patient and FOB at three sites (P < 0.001-0001). CF counseling improved for implementation phase patients at one site (8% vs. 48%, P < 0.0001) and CF screening/referrals at two (2% vs. 14%, P < 0.0001; 6% vs. 14%; P = 0.05). Counseling and intervention rates did not increase for HB. This preliminary study suggests that the PHP can improve documentation of FHH, race, and ancestry, as well as the compliance with current CF counseling and intervention guidelines in some prenatal clinics. Future evaluation of the PHP should include testing in a larger number of clinical environments, assessment of additional performance measures, and evaluation of the system's overall clinical utility. © 2014 Wiley Periodicals, Inc.American Journal of Medical Genetics Part C Seminars in Medical Genetics 03/2014; 166(1). DOI:10.1002/ajmg.c.31389 · 3.54 Impact Factor
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ABSTRACT: Overweight and obesity are problems of tremendous public health importance, but clinicians often fail to discuss weight management with their patients. Electronic health records (EHRs) have improved quality of care for some conditions and could be an effective mechanism for helping clinicians address overweight and obesity. This review sought to summarize current evidence on the use of EHRs for assessment and management of overweight and obesity. The authors searched PubMed/MEDLINE, Cochrane Central Register of Controlled Trials, Embase, Web of Science, CINAHL, INSPEC, IEEE Explore, and the ACM Digital Library from their inception through August 15, 2012; analyses were conducted between September 2012 and March 2013. Eligible studies had to involve a new feature or a change in an existing feature within an EHR related to the identification, evaluation, or management of overweight and obesity. Included in the review were RCTs and nonrandomized controlled trials, pre-post studies with a historical control group, and descriptive studies. One reviewer screened all of the titles and abstracts. Citations that were potentially eligible were independently reviewed by two reviewers. Disagreements were resolved by consensus. Of the 1188 unique citations identified, 11 met the inclusion criteria. Seven of these studies were conducted in children and adolescents, and four were conducted in adults. Most of the studies were pre-post studies with a historical control group, and only three were RCTs. Most of the interventions included calculation, display, or plotting of BMI or BMI percentiles; fewer included other features. The majority of studies examined clinician performance outcomes; only two studies examined patient outcomes. Few studies have examined whether EHR-based tools can help clinicians address overweight and obesity, and further studies are needed to examine the effects of EHR features on weight-related outcomes in patients.American journal of preventive medicine 10/2013; 45(4):494-500. DOI:10.1016/j.amepre.2013.05.015 · 4.28 Impact Factor