ABSTRACT
OBJECTIVE: To estimate the incidence of anemia in pregnancy and compare the maternal and perinatal outcomes of women with and without anemia. METHODS: We conducted a population-based retrospective cohort study on all pregnant women in British Columbia who had a live birth or stillbirth at or after 20 weeks of gestation between 2004 and 2016. Women were diagnosed with anemia based on two criteria: third-trimester hemoglobin value or a delivery admission diagnosis of anemia (made before delivery). Anemia was categorized into no anemia (hemoglobin 11 g/dL or greater), mild (9-10.9 g/dL), moderate (7-8.9 g/dL), severe (less than 7 g/dL), or anemia of unspecified severity (with diagnosis made before delivery). Logistic regression was used to estimate adjusted odds ratios (aOR) and 95% CIs expressing the association between anemia and maternal and perinatal outcomes. RESULTS: Of 515,270 women in the study population, 65,906 (12.8%) had anemia: 11.8%, 0.43%, and 0.02% had mild, moderate, and severe anemia, respectively, and 0.58% had anemia of unspecified severity. Anemic women had longer hospitalization duration and more antenatal admissions, and rates of preeclampsia, placenta previa and cesarean delivery were higher among women with anemia. The intrapartum-postpartum blood transfusion rate was 5.1 per 1,000 among women without anemia, and higher among women with anemia (aOR 2.45, 95% CI 1.74-3.45 for mild anemia; 21.3, 95% CI 12.2-37.3 for moderate anemia; not analyzable for severe anemia; and 48.3, 95% CI 6.60-353.9 for anemia of unspecified severity). Anemia was associated with preterm birth (mild anemia, aOR 1.09, 95% CI 1.05-1.12; moderate anemia, aOR 2.26, 95% CI 2.02-2.54; anemia of unspecified severity, aOR 2.27, 95% CI 2.06-2.50), small-for-gestational-age live birth, low 5-minute Apgar score, neonatal death, and perinatal death. CONCLUSION: Maternal anemia in pregnancy represents a common and potentially reversible risk factor associated with antepartum, intrapartum, and postpartum maternal morbidity and perinatal morbidity and mortality.
Subject(s)
Anemia/epidemiology , Pregnancy Complications, Hematologic/epidemiology , Adult , Anemia/blood , Anemia/etiology , Anemia/mortality , British Columbia/epidemiology , Cohort Studies , Female , Hemoglobins , Humans , Incidence , Infant, Newborn , Perinatal Mortality , Pregnancy , Pregnancy Complications, Hematologic/blood , Pregnancy Complications, Hematologic/etiology , Pregnancy Complications, Hematologic/mortality , Pregnancy Outcome , Registries , Retrospective Studies , Risk Factors , Young AdultABSTRACT
OBJECTIVES: Develop pricing models for bundled payments that draw inputs from clinician-defined best practice standards and benchmarks set from regional variations in utilization. DATA: Health care utilization and claims data for a cohort of incident Ontario ischemic and hemorrhagic stroke episodes. Episodes of care are created by linking incident stroke hospitalizations with subsequent health service utilization across multiple datasets. STUDY DESIGN: Costs are estimated for episodes of care and constituent service components using setting-specific case mix methodologies and provincial fee schedules. Costs are estimated for five areas of potentially avoidable utilization, derived from best practice standards set by an expert panel of stroke clinicians. Alternative approaches for setting normative prices for stroke episodes are developed using measures of potentially avoidable utilization and benchmarks established by the best performing regions. PRINCIPAL FINDINGS: There are wide regional variations in the utilization of different health services within episodes of stroke care. Reconciling the best practice standards with regional utilization identifies significant amounts of potentially avoidable utilization. Normative pricing models for stroke episodes result in increasingly aggressive redistributions of funding. CONCLUSIONS: Bundled payment pilots to date have been based on the costs of historical service patterns, which effectively 'bake in' unwarranted and inefficient variations in utilization. This study demonstrates the feasibility of novel clinically informed episode pricing approaches that leverage these variations to target reductions in potentially avoidable utilization.