Hospitalizations for severe complications of pregnancy, 1987-1992

Obstet Gynecol. 1997 Aug;90(2):225-9. doi: 10.1016/S0029-7844(97)00230-5.

Abstract

Objective: To compute ratios of severe pregnancy complications (the number of hospitalizations for pregnancy complications per 100 deliveries) and to examine factors associated with their prevalence.

Methods: Using population-based California hospital discharge data to estimate hospitalization ratios of pregnancy complications during 1987-1992, we defined cases by preselected pregnancy complication codes from the International Classification of Diseases, Ninth Revision, Clinical Modification, excluding induced abortions and delivery-associated complications. All hospital deliveries of liveborn or stillborn infants were included in our denominator. We examined ratios by age, race-ethnicity, payment source, total hospitalization charges, and length of hospital stay.

Results: There were 833,264 hospitalizations for pregnancy complications in California (25 complications per 100 deliveries), which included admissions for preterm labor (33%), genitourinary infection (16%), and pregnancy-induced hypertension (15%). Age-specific ratios were highest for women 14 years old and younger (38 per 100 deliveries) and lowest for women 25-29 years old (23 per 100 deliveries). Ratios of complications varied by race-ethnicity; black women had the highest (42 per 100 deliveries), and Asian-Pacific Islander women had the lowest (21 per 100 deliveries). Ratios were unaffected by payment source. In 1987, Medicaid charges were $118 million for 33% of the number of total hospitalizations for complications. In 1992, such Medicaid hospitalizations accounted for $356 million (49%) of the $734 million in total charges and for 183,295 (45%) of the 409,000 total hospital days.

Conclusion: Our results showed disparities in ratios of severe complications of pregnancy by age and race-ethnicity as well as a shift of financial burden to Medicaid. These findings suggest that such complications may be reduced by identifying risk factors and targeting high-risk groups.

MeSH terms

  • Adolescent
  • Adult
  • Age Factors
  • Black or African American / statistics & numerical data
  • California / epidemiology
  • Ethnicity / statistics & numerical data
  • Female
  • Hospital Charges / statistics & numerical data
  • Hospitalization / economics
  • Hospitalization / statistics & numerical data*
  • Humans
  • Length of Stay / economics
  • Length of Stay / statistics & numerical data
  • Medicaid / economics
  • Medicaid / statistics & numerical data
  • Pregnancy
  • Pregnancy Complications / economics
  • Pregnancy Complications / epidemiology*
  • Prevalence
  • Risk Factors
  • United States
  • White People / statistics & numerical data