Identification of neonatal deaths in a large managed care organisation.

The neonatal (< 28 days) mortality rate (NMR) is one of the most commonly employed maternal and child health epidemiological measures. It is also being employed in quality measures ("report cards') used to assess the performance of health care organisations. The objectives were to (1) develop methods for the rapid quantification of the neonatal mortality rate in a multi-hospital system, the Kaiser Permanente Medical Care Program's Northern California Region (KPMCP NCR), (2) develop methods for generating facility-specific rates and case lists, and (3) ascertain the capture rates of the information sources available to us. Potential neonatal deaths were identified in the KPMCP NCR for the 1990 and 1991 calendar years from 3 sources: (1) clerical searches of local facility records, (2) electronic searches of the KPMCP NCR hospitalisation database, and (3) linking KPMCP electronic birth records to death certificate tapes. The medical records of all infants identified through these methods were reviewed. The neonatal mortality rate was calculated in three ways: (1) including all livebirths, (2) excluding births weighing < 500 g, and (3) adjusting for prematurity by increasing the follow-up period in preterm babies (these babies were included as neonatal deaths if they died up to 40 weeks corrected age + 27.9 days). A total of 352 records out of 64 469 birth records in the KPMCP NCR were reviewed. If one includes babies < 500 g, the neonatal mortality rate was 3.72/1000 livebirths; if these babies are excluded, the rate was 3.05/1000. Adjusting for prematurity increased these rates to 3.91/1000 and 3.24/1000, respectively. Accurate quantification of the neonatal mortality rate in a multi-hospital system requires the use of multiple information sources. Use of a single source can lead to varying rates of over- or under-estimation. It is possible to employ our methodology for both research and operational purposes.

Postdischarge utilization of medical services by high-risk infants: experience in a large managed care organization.

BACKGROUND: Infants discharged from intensive care nurseries are a high-risk infant (HRI) population known to have increased utilization of medical services. Most studies tracking HRIs have been based on data obtained from individual chart review or direct patient contact. Given the high cost of such studies, it is desirable to develop less costly methods to track such infants. OBJECTIVES: Our goals were: (1) to identify an HRI cohort at two neonatal intensive care units; (2) to identify a control group of infants not meeting HRI criteria; and (3) to measure outpatient and inpatient utilization in both controls using computerized files in a managed care organization. METHODS: Using California Children's Services criteria as our starting point, we established an HRI definition. From a 1-year birth cohort of 7579 infants at two facilities, we identified 250 infants meeting the HRI definition at two neonatal intensive care units during 1990. We then matched the HRIs with a cohort of 896 randomly selected control newborns (those not meeting the HRI definition). Using organizational computer files and state of California death certificate tapes, we followed these infants until February 28, 1992. We measured the number of hospitalizations, total number of hospital days, and total number of outpatient visits and expressed these outcomes as rates per person-year. We also measured postdischarge mortality. RESULTS: The rate of hospitalization in the HRI group was 6.07 times (95% confidence interval [CI], 4.74-7.77) that in the control group. The utilization of hospital days by the HRI population (hospital days per 1000 person-months) was 13.24 times higher (95% CI, 11.00-16.04). The outpatient visit rate was 1.40 times higher (95% CI, 1.36-1.45) in the HRI population. CONCLUSION: Our findings in a large managed care organization corroborate previous studies showing that hospitalization rates are significantly higher among HRIs. In our study population, outpatient utilization was significantly higher as well. Our study also demonstrates the feasibility of using computerized files to study outcomes in selected pediatric populations. These methods can be used for epidemiologic studies, interventional trials, and planning for resource allocation.

Risk factors for delayed immunization among children in an HMO.

OBJECTIVES: Improving the timely delivery of childhood immunizations has become a national imperative. This study aimed to identify nonfinancial predictors of delayed immunization among patients with good financial access to preventive care. METHODS: This prospective cohort study used telephone interviews and a computerized immunization tracking system to evaluate 13-month-old children (n = 530) in a regional group-model health maintenance organization. RESULTS: More than one third of parents interviewed did not know when the next immunization was due. Thirteen percent were late for the measles-mumps-rubella immunization, recommended at 15 months of age, by 90 days or more. Independent predictors of delayed immunization included having a larger number of children (odds ratio [OR] = 1.4, P < .01), not having a regular doctor (OR = 2.9, P < .05), not knowing when the shot was due (OR = 2.0, P < .01), and not worrying about the risks of shots (OR = 1.4, P < .05). CONCLUSIONS: Financial access alone does not guarantee timely childhood immunization. In managed care settings, which may cover increasing numbers of children under health care reform, interventions are needed to better inform parents of when immunizations are due.