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Retrospective Use of Patients' Characteristics to Assess Variation in Prenatal Care Utilization.
Peahl, Alex F; Pennathur, Harini; Zacharek, Nicholas; Naccarato, Amanda; Heberle-Rose, Hannah; Goodman, Jordan; Smith, Roger D; Cohn, Amy; Stout, Molly J; Fendrick, A Mark; Moniz, Michelle H.
Afiliación
  • Peahl AF; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan.
  • Pennathur H; University of Michigan Institute for Healthcare Policy and Innovation, Ann Arbor, Michigan.
  • Zacharek N; Department of Obstetrics and Gynecology, University of Michigan Program on Women's Healthcare Effectiveness Research, Ann Arbor, Michigan.
  • Naccarato A; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan.
  • Heberle-Rose H; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan.
  • Goodman J; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan.
  • Smith RD; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan.
  • Cohn A; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan.
  • Stout MJ; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan.
  • Fendrick AM; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan.
  • Moniz MH; University of Michigan School of Public Health, Ann Arbor, Michigan.
Am J Perinatol ; 2023 Aug 14.
Article en En | MEDLINE | ID: mdl-37579763
OBJECTIVE: We used patients' medical and psychosocial risk factors to explore prenatal care utilization and health outcomes to inform prenatal care tailoring. STUDY DESIGN: This retrospective cohort study assessed patients who gave birth at an academic institution from January 1 to December 31, 2018, using electronic health record (EHR) data. Patients were categorized into four phenotypes based on medical/psychosocial risk factors available in the EHR: Completely low risk; High psychosocial risk only; High medical risk only; and Completely high risk. We examined patient characteristics, visit utilization, nonvisit utilization (e.g., phone calls), and outcomes (e.g., preterm birth, preeclampsia) across groups. RESULTS: Of 4,681 patients, the majority were age 18 to 35 (3,697, 79.0%), White (3,326, 70.9%), multiparous (3,263, 69.7%), and Completely high risk (2,752, 58.8%). More Black and Hispanic patients had psychosocial risk factors than White patients. Patients with psychosocial risk factors had fewer prenatal visits (10, interquartile range [IQR]: 8-12) than those without (11, IQR: 9-12). Patients with psychosocial risk factors experienced less time in prenatal care, more phone calls, and fewer EHR messages across the same medical risk group. Rates of preterm birth and gestational hypertension were incrementally higher with additional medical/psychosocial risk factors. CONCLUSION: Data readily available in the EHR can assess the compounding influence of medical/psychosocial risk factor on patients' care utilization and outcomes. KEY POINTS: · Medical and psychosocial needs in pregnancy can inform patient phenotypes and are associated with prenatal care use and outcomes.. · Patient phenotypes are associated with prenatal care use and outcomes.. · Patients with high psychosocial risk spent less time in prenatal care and had more phone calls in pregnancy.. · Tailored prenatal care models may proactively address differences in patient's needs..

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Am J Perinatol Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Am J Perinatol Año: 2023 Tipo del documento: Article