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1.
Eur J Cancer Care (Engl) ; 31(6): e13551, 2022 Nov.
Article in English | MEDLINE | ID: mdl-35083780

ABSTRACT

OBJECTIVE: This prospective study aimed to evaluate the performance of the 'Surprise Question' (SQ) 'Would I be surprised if this patient died in the next 12 months?' in predicting survival of 12, 6, 3 and 1 month(s), respectively, in hospitalised patients with cancer. METHODS: In three hospitals, physicians were asked to answer SQs for 12/6/3/1 month(s) for inpatients with cancer. Sensitivity, specificity, positive and negative predictive values were calculated. RESULTS: A total of 783 patients were included, of whom 51% died in the 12-month period after inclusion. Sensitivity of the SQ predicting death within 12 months was 0.79, specificity was 0.66, the positive predictive value was 0.71 and the negative predictive value was 0.75. When the SQ concerned a shorter survival period, sensitivities and positive predictive values decreased, whereas specificities and negative predictive values increased. In multivariable logistic regression analysis, the SQ was significantly associated with mortality (OR 3.93, 95% CI 2.70-5.71, p < 0.01). CONCLUSIONS: The 12-month SQ predicts death in patients with cancer admitted to the hospital reasonably well. Shortening the timeframe decreases sensitivities and increases specificities. The four surprise questions may help to identify patients for whom palliative care is indicated.


Subject(s)
Neoplasms , Palliative Care , Humans , Prognosis , Prospective Studies , Hospitals
2.
Eur J Cancer Care (Engl) ; 29(3): e13198, 2020 May.
Article in English | MEDLINE | ID: mdl-31825156

ABSTRACT

BACKGROUND: Early palliative care team consultation has been shown to reduce costs of hospital care. The objective of this study was to investigate the association between palliative care team (PCT) consultation and the content and costs of hospital care in patients with advanced cancer. MATERIAL AND METHODS: A prospective, observational study was conducted in 12 Dutch hospitals. Patients with advanced cancer and an estimated life expectancy of less than 1 year were included. We compared hospital care during 3 months of follow-up for patients with and without PCT involvement. Propensity score matching was used to estimate the effect of PCTs on costs of hospital care. Additionally, gamma regression models were estimated to assess predictors of hospital costs. RESULTS: We included 535 patients of whom 126 received PCT consultation. Patients with PCT had a worse life expectancy (life expectancy <3 months: 62% vs. 31%, p < .01) and performance status (p < .01, e.g., WHO status higher than 2:54% vs. 28%) and more often had no more options for anti-tumour therapy (57% vs. 30%, p < .01). Hospital length of stay, use of most diagnostic procedures, medication and other therapeutic interventions were similar. The total mean hospital costs were €8,393 for patients with and €8,631 for patients without PCT consultation. Analyses using propensity scores to control for observed confounding showed no significant difference in hospital costs. CONCLUSIONS: PCT consultation for patients with cancer in Dutch hospitals often occurs late in the patients' disease trajectories, which might explain why we found no effect of PCT consultation on costs of hospital care. Earlier consultation could be beneficial to patients and reduce costs of care.


Subject(s)
Hospital Costs/statistics & numerical data , Length of Stay/economics , Neoplasms/therapy , Palliative Care , Referral and Consultation/statistics & numerical data , Aged , Antineoplastic Agents/economics , Antineoplastic Agents/therapeutic use , Case-Control Studies , Critical Care/economics , Critical Care/statistics & numerical data , Diagnostic Techniques and Procedures/economics , Diagnostic Techniques and Procedures/statistics & numerical data , Drug Costs/statistics & numerical data , Enteral Nutrition/economics , Enteral Nutrition/statistics & numerical data , Female , Functional Status , Hospices , Hospital Mortality , Humans , Length of Stay/statistics & numerical data , Life Expectancy , Male , Middle Aged , Neoplasms/diagnosis , Neoplasms/economics , Netherlands , Patient Discharge , Propensity Score , Prospective Studies , Respiration, Artificial/economics , Respiration, Artificial/statistics & numerical data , Survival Rate
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