Paula Otero, Pablo Durán, Débora Setton, Alfredo Eymann, Julio Busaniche, Julián Llera
{"title":"超重和肥胖儿童和青少年患病率与电子健康记录之间的不匹配:一项横断面研究","authors":"Paula Otero, Pablo Durán, Débora Setton, Alfredo Eymann, Julio Busaniche, Julián Llera","doi":"10.14236/jhi.v19i2.798","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The prevalence of obesity has increased dramatically in recent years. An electronic health record (EHR) can be used to identify and manage overweight and obesity by providing timely information.</p><p><strong>Objective: </strong>To estimate the prevalence of overweight and obesity using anthropometric data from an EHR and to compare it with the frequency of diagnoses of 'overweight' and 'obesity' registered by pediatricians.</p><p><strong>Methods: </strong>Cross-sectional, descriptive analytical study from a sample of records from children aged between 2 and 19 years who had at least one well-child visit registered in the EHR over the 24-month period between 2007 and 2008. The record of a diagnosis of overweight or obesity by physicians was compared with estimations based on body mass index (BMI; World Health Organization Growth Reference Data).</p><p><strong>Results: </strong>Of 14 743 patients aged 2-19 years, 22.1% were overweight and 9.8% were obese. By contrast, a diagnosis of overweight was registered in the EHR for 3.3% of patients, with a figure of 1.1% for obesity. The prevalence of overweight/obesity was lower in adolescents than in children and preschoolers. Based on BMI cut-off points, we found that only 11.5% of the overweight or obese patients had these diagnoses registered in the EHR. Referral to a nutritionist or endocrinolist, and the frequency of selected laboratory tests based on BMI categories vary between 11.8 and 52.5%.</p><p><strong>Conclusion: </strong>An EHR can contribute to the identification of a population at risk when there is a sub-registry of these diagnoses by primary care physicians.</p>","PeriodicalId":30591,"journal":{"name":"Informatics in Primary Care","volume":"19 2","pages":"75-82"},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Mismatch between the prevalence of overweight and obese children and adolescents and recording in electronic health records: a cross-sectional study.\",\"authors\":\"Paula Otero, Pablo Durán, Débora Setton, Alfredo Eymann, Julio Busaniche, Julián Llera\",\"doi\":\"10.14236/jhi.v19i2.798\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The prevalence of obesity has increased dramatically in recent years. An electronic health record (EHR) can be used to identify and manage overweight and obesity by providing timely information.</p><p><strong>Objective: </strong>To estimate the prevalence of overweight and obesity using anthropometric data from an EHR and to compare it with the frequency of diagnoses of 'overweight' and 'obesity' registered by pediatricians.</p><p><strong>Methods: </strong>Cross-sectional, descriptive analytical study from a sample of records from children aged between 2 and 19 years who had at least one well-child visit registered in the EHR over the 24-month period between 2007 and 2008. The record of a diagnosis of overweight or obesity by physicians was compared with estimations based on body mass index (BMI; World Health Organization Growth Reference Data).</p><p><strong>Results: </strong>Of 14 743 patients aged 2-19 years, 22.1% were overweight and 9.8% were obese. By contrast, a diagnosis of overweight was registered in the EHR for 3.3% of patients, with a figure of 1.1% for obesity. The prevalence of overweight/obesity was lower in adolescents than in children and preschoolers. Based on BMI cut-off points, we found that only 11.5% of the overweight or obese patients had these diagnoses registered in the EHR. Referral to a nutritionist or endocrinolist, and the frequency of selected laboratory tests based on BMI categories vary between 11.8 and 52.5%.</p><p><strong>Conclusion: </strong>An EHR can contribute to the identification of a population at risk when there is a sub-registry of these diagnoses by primary care physicians.</p>\",\"PeriodicalId\":30591,\"journal\":{\"name\":\"Informatics in Primary Care\",\"volume\":\"19 2\",\"pages\":\"75-82\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Informatics in Primary Care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14236/jhi.v19i2.798\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatics in Primary Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14236/jhi.v19i2.798","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mismatch between the prevalence of overweight and obese children and adolescents and recording in electronic health records: a cross-sectional study.
Background: The prevalence of obesity has increased dramatically in recent years. An electronic health record (EHR) can be used to identify and manage overweight and obesity by providing timely information.
Objective: To estimate the prevalence of overweight and obesity using anthropometric data from an EHR and to compare it with the frequency of diagnoses of 'overweight' and 'obesity' registered by pediatricians.
Methods: Cross-sectional, descriptive analytical study from a sample of records from children aged between 2 and 19 years who had at least one well-child visit registered in the EHR over the 24-month period between 2007 and 2008. The record of a diagnosis of overweight or obesity by physicians was compared with estimations based on body mass index (BMI; World Health Organization Growth Reference Data).
Results: Of 14 743 patients aged 2-19 years, 22.1% were overweight and 9.8% were obese. By contrast, a diagnosis of overweight was registered in the EHR for 3.3% of patients, with a figure of 1.1% for obesity. The prevalence of overweight/obesity was lower in adolescents than in children and preschoolers. Based on BMI cut-off points, we found that only 11.5% of the overweight or obese patients had these diagnoses registered in the EHR. Referral to a nutritionist or endocrinolist, and the frequency of selected laboratory tests based on BMI categories vary between 11.8 and 52.5%.
Conclusion: An EHR can contribute to the identification of a population at risk when there is a sub-registry of these diagnoses by primary care physicians.