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Development of an Electronic Health Record-Based Clinical Decision Support Tool for Patients With Lynch Syndrome.
Lau-Min, Kelsey S; Bleznuck, Joseph; Wollack, Colin; McKenna, Danielle B; Long, Jessica M; Hubert, Anna P; Johnson, Mariah; Rochester, Shavon E; Constantino, Gillain; Dudzik, Christina; Doucette, Abigail; Wangensteen, Kirk; Domchek, Susan M; Landgraf, Jeffrey; Chen, Jessica; Nathanson, Katherine L; Katona, Bryson W.
Afiliação
  • Lau-Min KS; Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
  • Bleznuck J; Information Services Applications, Penn Medicine, University of Pennsylvania, Philadelphia, PA.
  • Wollack C; Information Services Applications, Penn Medicine, University of Pennsylvania, Philadelphia, PA.
  • McKenna DB; Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Long JM; Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Hubert AP; Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Johnson M; Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Rochester SE; Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Constantino G; Division of Gastroenterology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Dudzik C; Division of Gastroenterology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Doucette A; Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Wangensteen K; Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN.
  • Domchek SM; Division of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Landgraf J; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
  • Chen J; Information Services Applications, Penn Medicine, University of Pennsylvania, Philadelphia, PA.
  • Nathanson KL; Information Services Applications, Penn Medicine, University of Pennsylvania, Philadelphia, PA.
  • Katona BW; Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
JCO Clin Cancer Inform ; 7: e2300024, 2023 08.
Article em En | MEDLINE | ID: mdl-37639653
PURPOSE: To develop an electronic health record (EHR)-based clinical decision support (CDS) tool to promote guideline-recommended cancer risk management among patients with Lynch syndrome (LS), an inherited cancer syndrome that confers an increased risk of colorectal and other cancer types. MATERIALS AND METHODS: We conducted a cross-sectional study to determine the baseline prevalence and predictors of guideline-recommended colonic surveillance and annual genetics program visits among patients with LS. Multivariable log-binomial regressions estimated prevalence ratios (PRs) of cancer risk management adherence by baseline sociodemographic and clinical characteristics. These analyses provided rationale for the development of an EHR-based CDS tool to support patients and clinicians with LS-related endoscopic surveillance and annual genetics program visits. The CDS leverages an EHR platform linking discrete genetic data to LS Genomic Indicators, in turn driving downstream clinician- and patient-facing CDS. RESULTS: Among 323 patients with LS, cross-sectional adherence to colonic surveillance and annual genetics program visits was 69.3% and 55.4%, respectively. Patients with recent electronic patient portal use were more likely to be adherent to colonic surveillance (PR, 1.67; 95% CI, 1.11 to 2.52). Patients more recently diagnosed with LS were more likely to be adherent to annual genetics program visits (PR, 0.58; 95% CI, 0.44 to 0.76 for 2-4 years; PR, 0.62; 95% CI, 0.51 to 0.75 for ≥4 compared with <2 years). Our EHR-based CDS tool is now active for 421 patients with LS throughout our health system. CONCLUSION: We have successfully developed an EHR-based CDS tool to promote guideline-recommended cancer risk management among patients with LS.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais Hereditárias sem Polipose / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais Hereditárias sem Polipose / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article