Measuring adequacy of prenatal care: does missing visit information matter?

BACKGROUND: Kotelchuck's Adequacy of Prenatal Care Utilization (APNCU) Index is frequently used to classify levels of prenatal care. In the Finger Lakes Region (FLR) of upstate New York, prenatal care visit information late in pregnancy is often not documented on the birth certificate. We studied the extent of this missing information and its impact on the validity of regional APNCU scores. METHODS: We calculated the "weeks between" a mother's last prenatal care visit and her infant's date of birth. We adjusted the APNCU algorithm creating the Last Visit Adequacy of Prenatal Care (LV-APNC) Index using the last recorded prenatal care visit date as the end point of care and the expected number of visits at that time. We compared maternal characteristics by care level with each index, examining rates of reclassification and number of "weeks between" by birth hospital. Stuart-Maxwell, McNemar, chi-square, and t-tests were used to determine statistical significance. RESULTS: Based on 58,462 births, the mean "weeks between" was 2.8 weeks. Compared with their APNCU Index score, 42.4 percent of mothers were reclassified using the LV-APNC Index. Major movement occurred from Intermediate (APNCU) to Adequate or Adequate Plus (LV-APNC) leaving the Intermediate Care group a more at-risk group of mothers. Those with Adequate or Adequate Plus Care (LV-APNC) increased by 31.6 percent, surpassing the Healthy People 2020 objective. CONCLUSIONS: In the FLR, missing visit information at the end of pregnancy results in an underestimation of mothers' prenatal care. Future research is needed to determine the extent of this missing visit information on the national level.

Environmental risks and children's health: what can PRAMS tell us?

Environmental exposures during pregnancy have a lasting impact on children's health. We combined environmental and maternal risk factor survey data to inform efforts to protect children's health. We made recommendations for future use of such data. A modified version of the Pregnancy Risk Assessment Monitoring System (PRAMS) mail survey was conducted based on weighted sampling design with low-income and non-low income women in Monroe County, NY (1,022 respondents). A series of environmental questions were included in the questionnaire. Data were analyzed using Chi square tests and Poisson loglinear regression model to identify patterns in environmental health risk and sociodemographic characteristics. We identified women who rented their homes, had lower incomes, and lived in inner city zip codes as "high environmental health risk" (HEHR). HEHR respondents were more likely to report that a health care provider talked with them about lead and on average reported more behaviors to protect their children from lead poisoning. Combining environmental and perinatal risk factor data could yield important recommendations for medical practice, health education, and policy development. However, at present PRAMS gathers only limited and inconsistent environmental data. We found that existing PRAMS environmental questions are insufficient. Further work is needed to develop updated and more comprehensive environmental health survey questions and implement them consistently across the country.

Is the accuracy of prior preterm birth history biased by delivery characteristics?

To assess the sensitivity of birth certificates to preterm birth history and determine whether omissions are randomly or systemically biased. Subjects who experienced a preterm birth followed by a subsequent pregnancy were identified in a regional database. The variable "previous preterm birth" was abstracted from birth certificates of the subsequent pregnancy. Clinical characteristics were compared between subjects who were correctly versus incorrectly coded. 713 subjects were identified, of whom 65.5% were correctly coded in their subsequent pregnancy. Compared to correctly coded patients, patients who were not correctly identified tended to have late and non-recurrent preterm births or deliveries that were secondary to maternal or fetal indications. A recurrence of preterm birth in the subsequent pregnancy was also associated with correct coding. The overall sensitivity of birth certificates to preterm birth history is suboptimal. Omissions are not random, and are associated with obstetrical characteristics from both the current and prior deliveries. As a consequence, resulting associations may be flawed.