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Reducing Unwarranted Oncology Care Variation Across a Clinically Integrated Network: A Collaborative Physician Engagement Strategy.
Richards, Jon M; Burgon, Trever B; Tamondong-Lachica, Diana; Bitran, Jacob D; Liangco, Wilfredo L; Paculdo, David R; Peabody, John W.
Afiliação
  • Richards JM; Advocate Health Care, Downers Grove, IL.
  • Burgon TB; QURE Healthcare, San Francisco, CA.
  • Tamondong-Lachica D; QURE Healthcare, San Francisco, CA.
  • Bitran JD; Advocate Health Care, Downers Grove, IL.
  • Liangco WL; QURE Healthcare, San Francisco, CA.
  • Paculdo DR; QURE Healthcare, San Francisco, CA.
  • Peabody JW; QURE Healthcare, San Francisco, CA.
J Oncol Pract ; 15(12): e1076-e1084, 2019 12.
Article em En | MEDLINE | ID: mdl-31573829
PURPOSE: Addressing unwarranted clinical variation in oncology is a high priority for health systems that aspire to ensure consistent levels of high-quality and cost-effective care. Efforts to improve clinical practice and standardize care have proven challenging. Advocate Physician Partners undertook a patient simulation-based practice measurement and feedback project that was focused on breast and lung cancer to engage oncologists in the care standardization process. METHODS: One hundred three medical oncologists cared for online simulated patients using the Clinical Performance and Value platform, receiving feedback on how their care decisions compared with evidence-based guidelines and their peers. We repeated this process every 4 months over six rounds, measuring changes in quality-of-care scores. We then compared simulated patient results with available patient-level claims data. RESULTS: Over the course of the project, overall quality-of-care scores improved 11.9% (P < .001). Diagnostic accuracy increased 6.7% (P < .001) and correlated with improved treatment scores, including a nearly 10-percentage point increase in evidence-based chemotherapy regimens (P = .009) and a 56% increase in addressing palliative needs for patients with late-stage disease (P < .001). Unnecessary test ordering declined 25% (P < .001). We compared these results with available patient data and observed concordance with the metastatic imaging workup order rate for early-stage breast cancer. As unnecessary workups declined in the simulations and became more closely aligned with evidence-based guidelines, we saw similar rates of decline in the patient-level data. CONCLUSION: This study demonstrates that an oncology care standardization system that combines simulated patients with serial feedback increases evidence-based and cost-effective clinical decisions in patient simulations and patient-level data.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Qualidade da Assistência à Saúde / Neoplasias da Mama / Análise Custo-Benefício / Oncologia Tipo de estudo: Guideline / Prognostic_studies Limite: Female / Humans Idioma: En Revista: J Oncol Pract Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Qualidade da Assistência à Saúde / Neoplasias da Mama / Análise Custo-Benefício / Oncologia Tipo de estudo: Guideline / Prognostic_studies Limite: Female / Humans Idioma: En Revista: J Oncol Pract Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos