Journal of oncology practice · 2015
Escalation of oncologic services at the end of life among patients with gynecologic cancer at an urban, public hospital.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Wu Eijean, Rogers Anna, Ji Lingyun, Sposto Richard, Church Terry, Roman Lynda, Tripathy Debu, Lin Yvonne G
Аннотация
PURPOSE: Use of oncology-related services is increasingly scrutinized, yet precisely which services are actually rendered to patients, particularly at the end of life, is unknown. This study characterizes the end-of-life use of medical services by patients with gynecologic cancer at a safety-net hospital.
METHODS: Oncologic history and metrics of medical use (eg, hospitalizations, chemotherapy infusions, procedures) for patients with gynecologic oncology who died between December 2006 and February 2012 were evaluated. Mixed-effect regression models were used to test time effects and construct usage summaries.
RESULTS: Among 116 subjects, cervical cancer accounted for the most deaths (42%). The median age at diagnosis was 55 years; 63% were Hispanic, and 65% had advanced disease. Only 34% died in hospice care. The median times from do not resuscitate/do not intubate documentation and from last therapeutic intervention to death were 9 days and 55 days, respectively. Significant time effects for all services (eg, hospitalizations, diagnostics, procedures, treatments, clinic appointments) were detected during the patient's final year (P < .001), with the most dramatic changes occurring during the last 2 months. Patients with longer duration of continuity of care used significantly fewer resources toward the end of life.
CONCLUSION: To our knowledge, this is the first report enumerating medical services obtained by patients with gynecologic cancer in a large, public hospital during the end of life. Marked changes in interventions in the patient's final 2 months highlight the need for cost-effective, evidence-based metrics for delivering cancer care. Our data emphasize continuity of care as a significant determinant of oncologic resource use during this critical period.
METHODS: Oncologic history and metrics of medical use (eg, hospitalizations, chemotherapy infusions, procedures) for patients with gynecologic oncology who died between December 2006 and February 2012 were evaluated. Mixed-effect regression models were used to test time effects and construct usage summaries.
RESULTS: Among 116 subjects, cervical cancer accounted for the most deaths (42%). The median age at diagnosis was 55 years; 63% were Hispanic, and 65% had advanced disease. Only 34% died in hospice care. The median times from do not resuscitate/do not intubate documentation and from last therapeutic intervention to death were 9 days and 55 days, respectively. Significant time effects for all services (eg, hospitalizations, diagnostics, procedures, treatments, clinic appointments) were detected during the patient's final year (P < .001), with the most dramatic changes occurring during the last 2 months. Patients with longer duration of continuity of care used significantly fewer resources toward the end of life.
CONCLUSION: To our knowledge, this is the first report enumerating medical services obtained by patients with gynecologic cancer in a large, public hospital during the end of life. Marked changes in interventions in the patient's final 2 months highlight the need for cost-effective, evidence-based metrics for delivering cancer care. Our data emphasize continuity of care as a significant determinant of oncologic resource use during this critical period.