Uses of ecologic studies in the assessment of intended treatment effects

被引:44
作者
Wen, SW
Kramer, MS
机构
[1] Hlth Canada, Lab Ctr Dis Control, Bur Reprod & Child Hlth, Ottawa, ON K1A 0L2, Canada
[2] McGill Univ, Fac Med, Dept Epidemiol & Biostat, Montreal, PQ, Canada
[3] McGill Univ, Fac Med, Dept Pediat, Montreal, PQ, Canada
关键词
treatment outcome; outcome assessment; analytic studies; confounding; ecological bias; epidemiologic methods;
D O I
10.1016/S0895-4356(98)00136-X
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Because of the potential for confounding by indication (disease severity) in individual-level observational studies of intended treatment effects, a treatment designed to prevent an adverse event may appear to cause it. We use a hypothetical example to show that despite substantial variation in the frequency of treatment among patients residing in different geographic areas, a constant area-specific mortality rate can be observed, indicating the absence of confounding by indication at the ecologic level. The advantage of ecologic over individual-level observational studies in the assessment of intended treatment effects holds even if variations in disease severity, socioeconomic status, and other unmeasured factors are taken into account, as long as treatment utilization is influenced by practice style in the local medical community independently of disease severity. Ecologic studies can suggest the need for changes in practice, help resolve ethical issues, and indicate priorities for randomized trials. J CLIN EPIDEMIOL 52;1;7-12, 1999. (C) 1999 Elsevier Science Inc.
引用
收藏
页码:7 / 12
页数:6
相关论文
共 32 条
[1]   A NEW METHOD OF CLASSIFYING PROGNOSTIC CO-MORBIDITY IN LONGITUDINAL-STUDIES - DEVELOPMENT AND VALIDATION [J].
CHARLSON, ME ;
POMPEI, P ;
ALES, KL ;
MACKENZIE, CR .
JOURNAL OF CHRONIC DISEASES, 1987, 40 (05) :373-383
[2]   PROBLEMS OF COMORBIDITY IN MORTALITY AFTER PROSTATECTOMY [J].
CONCATO, J ;
HORWITZ, RI ;
FEINSTEIN, AR ;
ELMORE, JG ;
SCHIFF, SF .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1992, 267 (08) :1077-1082
[3]  
DALEY J, 1994, RISK ADJUSTMENT MEAS, P199
[4]   ADAPTING A CLINICAL COMORBIDITY INDEX FOR USE WITH ICD-9-CM ADMINISTRATIVE DATABASES [J].
DEYO, RA ;
CHERKIN, DC ;
CIOL, MA .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1992, 45 (06) :613-619
[5]   CURRENT PROBLEMS AND FUTURE CHALLENGES IN RANDOMIZED CLINICAL-TRIALS [J].
FEINSTEIN, AR .
CIRCULATION, 1984, 70 (05) :767-774
[6]   ECOLOGICAL BIAS, CONFOUNDING, AND EFFECT MODIFICATION [J].
GREENLAND, S ;
MORGENSTERN, H .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 1989, 18 (01) :269-274
[7]   ECOLOGIC STUDIES - BIASES, MISCONCEPTIONS, AND COUNTEREXAMPLES [J].
GREENLAND, S ;
ROBINS, J .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1994, 139 (08) :747-760
[8]  
IEZZONI LI, 1994, RISK ADJUSTMENT MEAS, P1
[9]   THE EVOLUTION OF CLINICAL-PRACTICE AND TIME TRENDS IN DRUG EFFECTS [J].
JOSEPH, KS .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1994, 47 (06) :593-598
[10]   THE ECOLOGICAL EFFECTS OF INDIVIDUAL EXPOSURES AND NONLINEAR DISEASE DYNAMICS IN POPULATIONS [J].
KOOPMAN, JS ;
LONGINI, IM .
AMERICAN JOURNAL OF PUBLIC HEALTH, 1994, 84 (05) :836-842