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1.
JCO Glob Oncol ; 10: e2400063, 2024 Jul.
Article in English | MEDLINE | ID: mdl-38991187

ABSTRACT

PURPOSE: Most patients with cancer will be hospitalized throughout the disease course. However, most evidence on the causes and outcomes of these hospitalizations comes from administrative data or small retrospective studies from high-income countries. METHODS: This study is a retrospective cohort of patients with solid tumors hospitalized from February 1, 2021, to December 31, 2021, in a tertiary cancer center in São Paulo, Brazil. We collected data on cancer diagnosis, symptoms at admission, hospitalization diagnosis, and survival clinical outcomes during in-hospital stay (in-hospital mortality) and after discharge (readmission rates and overall survival [OS]). Progressive disease (PD) diagnosis during admission was retrieved from manual chart review if explicitly stated by the attending physician. We modeled in-hospital mortality and postdischarge OS with logistic regression and Cox proportional hazards models, respectively. RESULTS: A total of 3,726 unique unplanned admissions were identified. The most common symptoms at admission were pain (40.6%), nausea (16.8%), and dyspnea (16.1%). PD (34.0%), infection (31.1%), and cancer pain (13.4%) were the most frequent reasons for admission. The in-hospital mortality rate was 18.9%. Patients with PD had a high in-hospital mortality rate across all tumor groups and higher odds of in-hospital death (odds ratio, 3.5 [95% CI, 3.0 to 4.2]). The 7-, 30-, and 90-day readmission rates were 11.9%, 33.5%, and 54%, respectively. The postdischarge median OS (mOS) was 12.6 months (95% CI, 11.6 to 13.7). Poorer postdischarge survival was observed among patients with PD (mOS, 5 months v 18 months; P < .001; hazard ratio, 2.4 [95% CI, 2.1 to 2.6]). CONCLUSION: PD is a common diagnosis during unplanned hospitalizations and is associated with higher in-hospital mortality rates and poorer OS after discharge. Oncologists should be aware of the prognostic implications of PD during admission and align goals of care with their patients.


Subject(s)
Hospital Mortality , Hospitalization , Neoplasms , Humans , Neoplasms/mortality , Neoplasms/therapy , Neoplasms/epidemiology , Brazil/epidemiology , Male , Female , Retrospective Studies , Middle Aged , Aged , Hospitalization/statistics & numerical data , Disease Progression , Adult , Patient Readmission/statistics & numerical data
2.
Patient Educ Couns ; 100(3): 425-435, 2017 03.
Article in English | MEDLINE | ID: mdl-27765378

ABSTRACT

OBJECTIVE: To describe the range of decision aids (DAs) available to enable informed choice for older patients at the end of life and assess their effectiveness or acceptability. METHODS: Search strategy covered PubMed, Scopus, Ovid MEDLINE, EMBASE, EBM Reviews, CINAHL and PsycInfo between 1995 and 2015. The quality criteria framework endorsed by the International Patient Decision Aids Standards (IPDAS) was used to assess usefulness. RESULTS: Seventeen DA interventions for patients, their surrogates or health professionals were included. Half the DAs were designed for self-administration and few described use of facilitators for decision-making. TREATMENT: options and associated harms and benefits, and patient preferences were most commonly included. Patient values, treatment goals, numeric disease-specific prognostic information and financial implications of decisions were generally not covered. DAs at the end of life are generally acceptable by users, and appear to increase knowledge and reduce decisional conflict but this effectiveness is mainly based on low-level evidence. CONCLUSIONS: Continuing evaluation of DAs in routine practice to support advance care planning is worth exploring further. In particular, this would be useful for conditions such as cancer, or situations such as major surgery where prognostic data is known, or in dementia where concordance on primary goals of care between surrogates and the treating team can be improved. PRACTICE IMPLICATIONS: Given the sensitivities of end-of-life, self-administered DAs are inappropriate in this context and genuine informed decision-making cannot happen while those gaps in the instruments remain.


Subject(s)
Advance Care Planning , Choice Behavior , Decision Support Techniques , Patient Participation , Terminal Care , Aged , Aged, 80 and over , Decision Making , Humans
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