医学
介绍
缓和医疗
门诊部
心理干预
生活质量(医疗保健)
患者满意度
观察研究
家庭医学
外科
内科学
护理部
作者
Sabine Gill,Stine Hollegaard,Katrine R. Schønnemann
标识
DOI:10.1080/0284186x.2023.2212410
摘要
Background As earlier studies found that early onset specialized palliative care (ESPC) results in better quality of life (QoL), less hospitalization and chemotherapy toward end-of life, we implemented ESPC in our oncology outpatient clinic. The aim of this study was to describe reasons for referral, interventions performed and the satisfaction among the oncologic staff.Material and Methods The outpatient ESPC clinic was established in the department of oncology. Prespecified selected data was obtained from the patients records. All patients were asked to fill in a questionnaire concerning their symptoms and QOL. A survey among the oncologic personnel concerning their perception of the clinic was conducted. All data were consecutively collected in a share point database.Results We included 134 patients. The primary referral symptoms were pain (69%) or psychological/existential challenges (23%). 55% of patients filled in an EORTC questionnaire and rated a median (QoL) of 3.4. Interventions initiated were on based on the following symptoms: pain (70%), constipation (53%), nausea (15%), dyspnea (10%) and depression (7%). Median waiting time was 13 days. Of the 134 patients referred to the ESPC clinic 101 was admitted. Symptoms and problems were resolved in the ESPC clinic for 81 of the 101 admitted patients (80%), i.e., after one consultation for 25 patients and after a follow up course in the clinic for 56 patients. A survey among the staff at the Department of Oncology demonstrated a high degree of satisfaction with the ESPC clinic.Conclusions We report experiences from implementation of ESPC in our outpatient oncologic clinic, where 81 (80%) of the admitted patients could be finished after one or a few follow up contacts, as their symptoms had been resolved. There was a high degree of satisfaction with the clinic among the oncologic staff.
科研通智能强力驱动
Strongly Powered by AbleSci AI