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Quality of supportive care for patients with advanced lung cancer in the Veterans Health Administration.
Oishi, Sabine M; Antonio, Anna Liza M; Ryoo, Joan; Ordin, Diana L; Lorenz, Karl A; He, Ren; Asch, Steven M; Kim, Benjamin; Malin, Jennifer.
Afiliação
  • Oishi SM; Veterans Administration Greater Los Angeles Healthcare System, West Los Angeles, Los Angeles, California, USA. sabine.oishi@va.gov.
  • Antonio AL; Veterans Administration Greater Los Angeles Healthcare System, West Los Angeles, Los Angeles, California, USA; and Fielding School of Public Health, Department of Biostatistics, University of California, Los Angeles, California, USA.
  • Ryoo J; Department of Radiation Oncology, Kaiser Permanente Los Angeles Medical Center, Los Angeles, California, USA.
  • Ordin DL; Office of Informatics and Analytics, Veterans Health Administration, Washington, DC, USA.
  • Lorenz KA; Veterans Administration Greater Los Angeles Healthcare System, West Los Angeles, Los Angeles, California, USA.
  • He R; Fielding School of Public Health, Department of Biostatistics, University of California, Los Angeles, California, USA.
  • Asch SM; Veterans Administration Palo Alto Health Care System; Palo Alto, California, USA; and Division of General Medical Disciplines, Stanford University, Stanford, California, USA.
  • Kim B; Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, California, USA.
  • Malin J; Veterans Administration Greater Los Angeles Healthcare System, West Los Angeles, Los Angeles, California, USA; and Jonsson Comprehensive Cancer Center, University of California, Los Angeles, California, USA.
J Community Support Oncol ; 12(10): 361-9, 2014 Oct.
Article em En | MEDLINE | ID: mdl-25853258
BACKGROUND: Morbidity related to cancer and its treatment remains a significant source of human suffering and a challenge to the delivery of high-quality care. OBJECTIVES: To develop and apply quality indicators to evaluate quality of supportive care for advanced lung cancer in the Veterans Health Administration (VHA) and examine facility-level predictors of quality. METHODS: We evaluated supportive care quality using 12 quality indicators. Data were taken from VHA electronic health records for incident lung cancer cases occurring during 2007. Organizational characteristics of 111 VHA facilities were examined for association with receipt of care. LIMITATIONS: Not all supportive care was evaluated. Care processes identified as present at facilities may not have been applied to cohort patients. Facility-level results may be influenced by errors in attributing a patient's care to the correct facility. CONCLUSIONS: Quality indicators for supportive cancer care can be developed and applied in large evaluations using electronic health record review. This study confirmed high-quality supportive care, while identifying significant facility-level variation in VHA.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Community Support Oncol Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Community Support Oncol Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Estados Unidos