The high cost of bipolar disorder is driven primarily by indirect costs. Costs were strongly associated with mood episodes, hospitalisations and low GAF scores. This suggests that treatment that reduces the risk for relapses and hospitalizations and improve functioning may decrease both the societal cost of bipolar disorder and patient suffering.
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Aims Consistent improvements for overall survival (OS) have been reported for individuals with metastatic cancer. Swedish population-based registers allow national coverage and long follow-up time. The aim of this study was to estimate and explore long-term OS of individuals diagnosed with metastatic cancer using Swedish nationwide health registers. Methods Individuals with metastatic breast (MBC), non-small cell lung (MNSCLC), ovary (MOC) or colorectal cancer (MCRC) or metastatic malignant melanoma (MMM) were identified in the Swedish national cancer register and national patient registers. Survival was estimated and stratified by available variables. Potential cure fractions were estimated using mixture cure models. Results In total, approximately 69,000 individuals were identified. The most common cancers were MCRC (36.2%) and MNSCLC (29.5%). Men were more frequently diagnosed with MNSCLC, MCRC, and MMM compared to women. Except for MOC, about 50% of individuals were 70 years or older at diagnosis. Throughout the study period survival differed across cancers. The longest median OS was observed for individuals with MOC and MBC. At 10 years of follow-up, the survival curves flatten at a survival rate of approximately 10% for all cancers except MNSCLC. The youngest age groups had the longest median OS. Increased survival was also observed for individuals diagnosed in 2015 and 2018 compared to individuals diagnosed during earlier years. The estimated cure fractions were 4% for MBC, 1.5% for MNSCLC, 6.8% for MCRC, 8.6% for MOC and MMM. Conclusions Long-term survival has been assessed across all indications except for NSCLC.. The findings may be relevant for healthcare planning to meet the needs of future patients and potential long-term survivors.
OBJECTIVES: Depression is a major health problem. Previous studies on the cost of depression have mainly taken a primary care perspective. Such studies do not include all patients with depression, and should be completed by cost estimates from psychiatric care. The objectives of this study were to estimate the annual societal cost of depression per patient in psychiatric care in Sweden, and to relate costs to disease severity, depressive episodes, hospitalization, and patient functioning. METHODS: Retrospective resource use data in inpatient and outpatient care for 2006-2008, as well as ICD-10 diagnoses and Global Assessment of Functioning (GAF), were obtained from Northern Stockholm psychiatric clinic with a catchment area including 47% of the adult inhabitants in Stockholm city. This data set was combined with national register data on prescription pharmaceuticals and sick leave to estimate the societal cost of depression. RESULTS: The study included 10,593 patients (63% women). The average annual societal cost per patient was around USD 21,000 in 2006-2008. The largest cost item was indirect costs due to productivity losses (89%), and the second largest was outpatient care (6%). Patients with mild, moderate or severe depression had an average cost of approximately USD 18,000, USD 21,000, and USD 29,000, respectively. Total costs were significantly higher during depressive episodes, for patients with co-morbid psychosis or anxiety, for hospitalized patients, and for patients with low GAF scores. CONCLUSIONS:The largest share of societal costs for patients with depression in psychiatric care is indirect. The total costs were higher than previously reported from a primary care setting, and strongly related to hospitalization, episodes of active depression, and global functioning. This suggests that effective treatment and rehabilitation that avoid depressive episodes and hospitalization may not only improve patient health, but also reduce the societal cost of depression.
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