우리나라 당뇨병의 역학적 규모와 당뇨병 관리현황 파악을 위한 표본설계의 평가 (An Evaluation of Sampling Design for Estimating an Epidemiologic Volume of Diabetes and for Assessing Present Status of Its Control in Korea)

서지정보

· 발행기관 : 대한예방의학회
· 수록지 정보 : 예방의학회지 / 42권 / 2호 / 135 ~ 142페이지
· 저자명 : 이지성, 김재용, 백세현, 이준영, 박이병

초록

Objectives : An appropriate sampling strategy for
estimating an epidemiologic volume of diabetes has been
evaluated through a simulation.
Methods : We analyzed about 250 million medical
insurance claims data submitted to the Health Insurance
Review & Assessment Service with diabetes as principal or
subsequent diagnoses, more than or equal to once per
year, in 2003. The database was re-constructed to a
patient-hospital profile that had 3,676,164 cases, and
then to a patient profile that consisted of 2,412,082
observations. The patient profile data was then used to test
the validity of a proposed sampling frame and methods of
sampling to develop diabetic-related epidemiologic indices.
Results : Simulation study showed that a use of a
stratified two-stage cluster sampling design with a total
sample size of 4,000 will provide an estimate of 57.04%
(95% prediction range, 49.83 - 64.24%) for a treatment
prescription rate of diabetes. The proposed sampling
design consists, at first, stratifying the area of the nation
into metropolitan/city/county and the types of hospital
into tertiary/secondary/primary/clinic with a proportion of
5:10:10:75. Hospitals were then randomly selected within
the strata as a primary sampling unit, followed by a random
selection of patients within the hospitals as a secondly
sampling unit. The difference between the estimate and the
parameter value was projected to be less than 0.3%.
Conclusions : The sampling scheme proposed will be
applied to a subsequent nationwide field survey not only for
estimating the epidemiologic volume of diabetes but also
for assessing the present status of nationwide diabetes
control.

영어초록

Objectives : An appropriate sampling strategy for
estimating an epidemiologic volume of diabetes has been
evaluated through a simulation.
Methods : We analyzed about 250 million medical
insurance claims data submitted to the Health Insurance
Review & Assessment Service with diabetes as principal or
subsequent diagnoses, more than or equal to once per
year, in 2003. The database was re-constructed to a
patient-hospital profile that had 3,676,164 cases, and
then to a patient profile that consisted of 2,412,082
observations. The patient profile data was then used to test
the validity of a proposed sampling frame and methods of
sampling to develop diabetic-related epidemiologic indices.
Results : Simulation study showed that a use of a
stratified two-stage cluster sampling design with a total
sample size of 4,000 will provide an estimate of 57.04%
(95% prediction range, 49.83 - 64.24%) for a treatment
prescription rate of diabetes. The proposed sampling
design consists, at first, stratifying the area of the nation
into metropolitan/city/county and the types of hospital
into tertiary/secondary/primary/clinic with a proportion of
5:10:10:75. Hospitals were then randomly selected within
the strata as a primary sampling unit, followed by a random
selection of patients within the hospitals as a secondly
sampling unit. The difference between the estimate and the
parameter value was projected to be less than 0.3%.
Conclusions : The sampling scheme proposed will be
applied to a subsequent nationwide field survey not only for
estimating the epidemiologic volume of diabetes but also
for assessing the present status of nationwide diabetes
control.

참고자료

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