Literature DB >> 15663878

Using survey data for diabetes surveillance among minority populations: a report of the Centers for Disease Control and Prevention's expert panel meeting.

Nilka Ríos Burrows, José Lojo, Michael M Engelgau, Linda S Geiss.   

Abstract

INTRODUCTION: Data on diabetes morbidity and mortality and the quality of care among U.S. minority populations are necessary to assess progress toward eliminating racial/ethnic disparities and to design and implement effective interventions. This paper summarizes the discussions and recommendations of an expert panel to address the use of survey data for diabetes surveillance among minority populations.
METHODS: The Centers for Disease Control and Prevention's Division of Diabetes Translation convened an expert panel of persons with survey experience and awareness of the problems in conducting health-related surveys among minority populations. Panel members were asked to 1) determine ways to enhance the ability of existing survey systems to address diabetes surveillance among minority populations; 2) identify survey systems that could be used to address surveillance needs; and 3) determine whether new minority-specific survey systems need to be developed.
RESULTS: Panel members concluded that, although no existing survey system is completely adequate for diabetes surveillance among minority populations, new systems should not be developed. They recommended 1) investigating the use of community-based surveys; 2) exploring the ability of national surveys to increase sample sizes and produce state-level estimates; and 3) encouraging government agencies and public health programs to coordinate and integrate diabetes-related survey data and share analytic methodology.
CONCLUSION: No existing survey is suitable for conducting minority-specific diabetes surveillance. Modifying and expanding existing surveys to establish a diabetes surveillance system of sentinel minority populations would be more feasible than developing a new one. Interagency coordination and collaboration will be critical in this effort.

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Year:  2004        PMID: 15663878      PMCID: PMC1183494     

Source DB:  PubMed          Journal:  Prev Chronic Dis        ISSN: 1545-1151            Impact factor:   2.830


Introduction

An estimated 17 million people in this country have diabetes, and of these, nearly 6 million are not aware of their condition (1). According to the American Diabetes Association, diabetes costs nearly $100 billion in direct medical care costs and indirect costs such as lost productivity (2). Appropriate preventive care practices could prevent or delay a large proportion of the costly and disabling consequences of diabetes (3). Compared with the general population, certain racial/ethnic communities, as well as older Americans and economically disadvantaged Americans, are disproportionately affected by diabetes and are at increased risk for some diabetes-related complications (4). Potential reasons for these groups being disproportionately affected include a greater prevalence of risk factors and comorbid conditions, inadequate access to medical care, and suboptimal diabetes-related preventive care. The Division of Diabetes Translation (DDT) at the Centers for Disease Control and Prevention (CDC) uses many data sources to conduct public health surveillance of diabetes and to estimate the burden of diabetes at the national and state levels. These data sources include surveys such as the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health Interview Survey (NHIS), administrative databases such as the U.S. Renal Data System, databases of the Health Care Financing Administration, and vital statistics data. However, several problems are associated with the use of these data in diabetes surveillance among minority populations: 1) surveys cannot reach all minority populations of interest; 2) administrative data sometimes do not include information on race and ethnicity; 3) small sample sizes of minority populations do not allow for accurate estimates of the diabetes burden at the state or community level; and 4) minority populations often are erroneously treated as homogeneous (for example, Mexican Americans, Cuban Americans, and other distinct ethnic groups are usually considered to be part of a homogenous group called "Hispanics"). In 1998, the Department of Health and Human Services' Initiative to Eliminate Racial and Ethnic Disparities in Health established as a national priority the elimination of racial and ethnic disparities in health outcomes among U.S. residents. Data for monitoring progress toward this objective, however, are lacking for many minority populations. Obtaining high-quality surveillance data on diabetes-related morbidity and mortality and quality of diabetes care among minority populations is thus important in identifying disparities and monitoring progress toward reducing these disparities. To discuss the use of survey data for the surveillance of diabetes among minority populations, DDT convened an expert panel meeting.

Methods

DDT organized and conducted the August 5–6, 2002, expert panel meeting. The panel consisted of 18 persons from agencies or organizations outside of DDT, most of whom had survey experience and were aware of the challenges in conducting surveys of health-related information among minority populations. Panel members represented 4 federal agencies, 4 university-affiliated institutions, 2 private nonprofit organizations, and one state health department (Table 1). Panel members were asked to help the CDC to 1) determine ways to enhance the ability of existing survey systems to address diabetes surveillance among minority populations; 2) identify survey systems that could be used, but currently were not being used, to address surveillance needs; and 3) determine whether new minority-specific survey systems need to be developed.
Table 1

Members of the Centers for Disease Control and Prevention's Expert Panel on Using Survey Data for Diabetes Surveillance Among Minority Populations, 2002

Centers for Disease Control and Prevention Other Federal Agencies University-affiliated Institution Private Nonprofit Organization State Health Department
Lawrence Barker, PhD Stephen J. Blumberg, PhD Nilka Ríos Burrows, MPH Michael M. Engelgau, MD, MS Clark Denny, PhDLinda S. Geiss, MA H. Wayne Giles, MD Howard Goldberg, PhD José Lojo, MPH Ali H. Mokdad, PhD Kathryn S. Porter, MD, MS Edward F. Tierney, MPH Elizabeth Zell, MStatKaren Beauregard, MHA, Agency for Healthcare Research and QualityCharlotte Steeh, PhD, Georgia State University, School of Policy StudiesHeather DH Mann, MA, National Indian Council on AgingRobert W. Indian, MS, Ohio Department of Health
Gerald S. Adler, MPhil, Centers for Medicare And Medicaid ServicesCarol-Ann Emmons, PhD University of Chicago, National Opinion Research CenterRobert Valdez, PhD, Rand Institute
Adrienne Oneto, MA, U.S. Census BureauDavid Weir, PhD, University of Michigan, Institute for Social Research
Elisa T. Lee, PhD, University of Oklahoma, Health Sciences Center

Results

The expert panel members identified numerous national, state, and community-based survey systems and discussed the systems' abilities to address the health information needs of minority populations (Table 2). Most of the identified surveys were cross-sectional in design and national in scope, administered either face-to-face or by telephone, and sponsored or supported by various federal agencies. The expert panel members noted several issues and problems associated with using national survey data for disease and risk factor surveillance. These included sample sizes for minority populations being too small, sampling being limited to the larger minority populations, discrete minority groups being treated as homogeneous rather than diverse populations, and national data being inadequate for estimating state and community problems.
Table 2

Description of National, State and Community-based Survey Systems Relevant to Addressing Health Information Needs of Minority Populations, Centers forDisease Control and Prevention, 2002

National Surveys Agencya Target Population Survey Design Survey Mode Frequency
American Community SurveyU.S. Census BureauCivilian, non-institutionalized household populationCross-sectionalMail, phone, personAnnual beginning in 2003
Health and Retirement StudyNIACivilian, non-institutionalized household population aged >50 yearsPanelPersonEvery 2 years
Medicare Current Beneficiary Survey (MCBS)CMSMedicare beneficiaries aged >64 yearsPanelPerson (computer-assisted)3 times/year for 4 years
Medical Expenditure Panel Survey (MEPS)AHRQCivilian, non-institutionalized household population and nursing home residentsPanelPerson (computer-assisted)Several times/year for 2 years
National Survey Family GrowthCDCCivilian, non-institutionalized population aged 15-44 yearsCross-sectionalPersonPeriodic
National Health Interview Survey (NHIS)CDCCivilian, non-institutionalized household populationCross-sectionalPersonAnnually
National Health and Nutrition Examination Survey (NHANES)CDCCivilian, non-institutionalized household populationCross-sectionalPersonPeriodic
Consumer Assessment of Health Plans Survey (CAHPS)AHRQPersons currently enrolled in health plansCross-sectionalPhone (computer-assisted)To be determined

AHRQ: Agency for Healthcare Research and Quality; CDC: Centers for Disease Control and Prevention; CMS: Centers for Medicare and Medicaid Services; NIA: National Institute on Aging.

Moreover, the panel questioned whether a national sample of specific minority populations could produce meaningful results given the diversity within these populations. State and community surveys share some of these same problems, but they have the advantage of access to local data, which have more immediate relevancy in planning and evaluating community-based interventions to improve public health. Although local surveys may have the greatest potential for targeting subgroups of minorities, data on such subgroups may not be generalizable to the larger minority populations. The panel members recognized that the list of surveys discussed as potential sources of data was probably not complete and recommended several strategies to identify additional survey systems that could be useful. These strategies included 1) a summary review of existing longitudinal studies and other relevant data; 2) a search of surveys sponsored by federal or public agencies other than the Department of Health and Human Services; and 3) a query of state health programs to establish an inventory of special surveys. Recognizing that diabetes is an important growing public health problem (5), the panel stressed that the inclusion of diabetes-related data in existing survey systems is critical. The panel highlighted the need to coordinate the diabetes surveillance efforts of survey systems by using uniform diabetes-related questions, sharing analytical techniques (such as pooling data), and promoting the standardization of measurement and analysis practices. The panel also discussed the need to examine survey content to ensure that surveys are capable of producing the thorough data necessary to design effective public health interventions. In addition to producing data on minority racial and ethnic groups, surveys also should produce data on other disadvantaged populations as measured by socioeconomic status, social capital, community resources, education, and access to or denial of health insurance, because these factors generally underlie many racial and ethnic disparities. Finally, the panel discussed the need to establish new minority-specific survey systems and concluded that developing and maintaining new survey systems would be too costly and time-consuming. Instead, the panel recommended expanding upon and enhancing existing survey systems at the state and local levels. Specifically, the panel recommended investigating the use of community-based surveys, such as those in the Racial and Ethnic Approaches to Community Health 2010 project, state- and local-specific surveys of the BRFSS, and the State and Local Area Integrated Telephone Survey. The panel also suggested modifying existing surveys by, for example, increasing sample size, adding supplementary content, sampling additional minority groups, and developing the capacity of national surveys such as NHIS to collect state and community-level data.

Discussion

Data on diabetes-related morbidity and mortality and quality of diabetes care among different U.S. minority populations are necessary to 1) assess progress toward eliminating racial/ethnic disparities in the health burden of diabetes, and 2) design and implement effective interventions for minority groups that are disproportionately affected by diabetes. No existing survey is suitable for conducting minority-specific diabetes surveillance. Modifying and expanding existing surveys to establish a diabetes surveillance system of sentinel minority populations, however, would be more feasible than developing a new one. Interagency coordination and collaboration will be critical in establishing such a system.
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2.  Diabetes trends in the U.S.: 1990-1998.

Authors:  A H Mokdad; E S Ford; B A Bowman; D E Nelson; M M Engelgau; F Vinicor; J S Marks
Journal:  Diabetes Care       Date:  2000-09       Impact factor: 19.112

3.  Economic consequences of diabetes mellitus in the U.S. in 1997. American Diabetes Association.

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  3 in total
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4.  State-based diabetes surveillance among minority populations.

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