Area-level predictors of use of prenatal care in diverse populations.
Patterns and predictors of the use of prenatal care in Hawaii were examined by census tract, taking into account summary measures of socioeconomic status, environmental conditions, and aggregated indicators of pregnancy-related risk characteristics of mothers. The objectives of the study were to identify those census tracts with high levels of inadequate use of prenatal care services; to develop a model, based on census tract characteristics, to explain observed geographic variations in the use of prenatal care services; and to identify for further investigation specific localities with unanticipated patterns of use. Data were drawn from 1980 census reports and vital statistics live birth files for the period 1979-87. Regression analysis was used to develop a model that was able to predict 61 percent of the census tract variation in the percentages of inadequate use of prenatal care services. Increased proportions of mothers of Japanese and other Asian-descent and of adults with more than high school education were associated with low levels of inadequate use of prenatal care services. Increased proportions of high parity-for-age risk and Samoan mothers were associated with higher levels of inadequate use. Census tract maps of actual and predicted percentages and studentized residual values were used to identify areas with high and low rates of inadequate use of prenatal care services. The area-level methods used are believed applicable to health care planning in other areas with ethnically or socioculturally diverse populations.
Kieffer
E
E
University of Michigan, Department of Public Health Policy and Administration, Ann Arbor 48109-2029.
Alexander
G R
GR
Mor
J
J
D003710:Demography; D004522:Educational Status; D004651:Employment / Q000706:statistics & numerical data; D004777:Environment; D005006:Ethnicity; D005191:Family Characteristics; D005260:Female; D005544:Forecasting; D006254:Hawaii / Q000453:epidemiology; D015438:Health Behavior / Q000208:ethnology; D006302:Health Services Research; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D008423:Maternal Age; D010298:Parity; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D011247:Pregnancy; D011256:Pregnancy Outcome; D011295:Prenatal Care / Q000706:statistics & numerical data*; D012044:Regression Analysis; D012111:Residence Characteristics; D017062:Small-Area Analysis; D012959:Socioeconomic Factors