Identifying and classifying children with chronic conditions using administrative data with the clinical risk group classification system.

نویسندگان

  • John M Neff
  • Virginia L Sharp
  • John Muldoon
  • Jeff Graham
  • Jean Popalisky
  • James C Gay
چکیده

OBJECTIVE To identify and categorize children with chronic health conditions using administrative data. METHODS The Clinical Risk Groups (CRGs) system is used to classify children, aged 0-18 years, in a mid-sized health plan into mutually exclusive categories and severity groups. Enrollees are categorized into 9 health status groups--healthy, significant acute, and 7 chronic conditions--and are then stratified by severity. Utilization is examined by category and severity level based on eligibility and claims files for calendar year 1999. Only children enrolled for at least 6 months (newborns at least 3 months) are included. RESULTS This analysis of 34544 children classifies 85.2% as healthy, including 19.6% with no claims; 5.2% with a significant acute illness; 4.6% with a minor chronic condition; and 4.9% with a moderate to catastrophic chronic condition. The average number of unique medical care encounters per child increases by chronic condition category and by severity level. Compared to national prevalence norms for selected conditions, CRGs do well in identifying patients who have conditions that require interaction with the health care system. CONCLUSIONS CRGs are a useful tool for identifying, classifying, and stratifying children with chronic health conditions. Enrollees can be grouped into categories for patient tracking, case management, and utilization.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Identifying and Classifying Children With Chronic Conditions Using Administrative Data

Objective.—To identify and categorize children with chronic health conditions using administrative data. Methods.—The Clinical Risk Groups (CRGs) system is used to classify children, aged 0–18 years, in a mid-sized health plan into mutually exclusive categories and severity groups. Enrollees are categorized into 9 health status groups— healthy, significant acute, and 7 chronic conditions—and ar...

متن کامل

Defining and categorizing the child welfare target group in Iran according to experts, laws, and policies

Abstract Introduction: Nowadays the concept of the child welfare system is defined in different countries due to the role of government and society in providing an appropriate context for the comprehensive development of children. The main role of the child welfare system is to ensure the safety and wellbeing of children and adolescents whose families do not meet or protect their needs. Also, ...

متن کامل

Defining and categorizing the child welfare target group in Iran according to experts, laws, and policies

Abstract Introduction: Nowadays the concept of the child welfare system is defined in different countries due to the role of government and society in providing an appropriate context for the comprehensive development of children. The main role of the child welfare system is to ensure the safety and wellbeing of children and adolescents whose families do not meet or protect their needs. Also, ...

متن کامل

Prevalence of High-Burden Medical Conditions Among Young and Middle-Aged Adults With Pediatric-Onset Medical Conditions: Findings From US Private and Public Administrative Claims Data

Adults with pediatric-onset medical conditions (POMCs) are susceptible to early development of high-burden medical conditions. However, research pertaining to this topic is lacking, which is vital information that could assist in health benefit planning and administration. The purpose of this study was to determine the prevalence of high-burden medical conditions among privately and publicly in...

متن کامل

ANFIS system: An algorithm for diagnosing and classifying the levels of depression in the elderly

Introduction: The diagnosis and classification of depression as the most common abnormal psychological disorder in the elderly has received less attention. The aim of the study was to use the ANFIS system to automatically process information in order to provide an appropriate algorithm for predicting the depression of the elderly. Method: The applied study was performed at the Gonbad Kavous Eld...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Ambulatory pediatrics : the official journal of the Ambulatory Pediatric Association

دوره 2 1  شماره 

صفحات  -

تاریخ انتشار 2002