Patients with schizophrenia and breast cancer: Adjuvant radiation treatment.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e17506-e17506
Author(s):  
Lauren Davies ◽  
Kashif Abdullah ◽  
Radhakrishna Janardhan ◽  
Mark Hwang ◽  
Michael Farasatpour ◽  
...  

e17506 Background: Schizophrenia affects about 1% of subjects in all populations studied so far. It impairs medical care delivery. We sought to evaluate how patients with schizophrenia who are later diagnosed with breast carcinoma fare when adjuvant radiation therapy (ART) is indicated. Methods: We searched the Patient Treatment File (PTF) of the Department of Veterans Affairs (DVA) to identify subjects with schizophrenia who later developed breast carcinoma and were treated in DVA Medical Centers (DVAMCs) from 1999 - 2005. Chart-based clinical data from the DVAMCs where the subjects had been treated supplemented PTF data. Results: 42 patients had preexisting schizophrenia, later developed breast carcinoma, and were candidates for ART. There were 31 women (74%) and 11 men (26%). 27 of the 42 study subjects had records specifying TNM stage; 18 of the 27 (67%) had TNM stages III-IV. 31 subjects had records about compliance with indicated medical therapies; 24 (77%) had previously been non-compliant. 39 subjects had records regarding therapy delay; 20 (51%) had previously delayed medically indicated therapy. Of the 42 subjects who were candidates for ART based on TNM stage, we found data about the decision to recommend ART in 37; only 23 (26%) were offered ART and 3 of those 23 (26%) refused it. Of the 6 subjects who refused ART, 4 had been non-compliant with previous medically indicated care, 3 had delayed initial cancer treatment, 4 had documented suicidal ideation, and 2 had documented homicidal ideation before being offered ART. Conclusions: Subjects with schizophrenia and breast carcinoma often do not understand their illnesses well. They often do not comply with recommended standard therapies such as ART. Treatments that rely on ART are likely to be met with non-compliance. A history of non-compliance appears to be a predictor of non-compliance with ART. Our results should be of interest to caregivers because we describe ways to avoid suboptimal ART in patients with breast carcinoma. Breast-conserving multi-modality treatment with ART is frequently not appropriate; radical surgery is often preferable.

Author(s):  
Claudia Der-Martirosian ◽  
Karen Chu ◽  
Aram Dobalian

ABSTRACT Objectives: This brief report examines the shift from in-person care to US Department of Veterans Affairs (VA) telehealth services during 3 devastating hurricanes in 2017 (Harvey, Irma, and Maria). Methods: VA administrative data were used to analyze the number and percentage of telehealth services 30 d pre- and 30 d post- the 2017 hurricanes for 3 hurricane-impacted VA medical centers (VAMCs): Houston (Texas), Orlando (Florida), and San Juan (Puerto Rico). Results: All 3 VAMCs remained open during the hurricanes. For the Houston VAMC, during the first week post-Harvey, in-person patient visits decreased while telehealth visits increased substantially. Similarly, for the Orlando VAMC, during the 1-wk post-Irma, telehealth use increased substantially. For the San Juan VAMC, there were many interruptions in the use of telehealth due to many power outages, resulting in a modest increase in the use of telehealth post-Irma/Maria. The most commonly used telehealth services at Houston and Orlando VAMCs during the hurricanes were: primary care, triage, mental health, and home health. Conclusions: Telehealth has the potential to improve post-disaster access to and coordination of care. However, more information is needed to better understand how telehealth services can be used as a post-disaster health-care delivery tool, particularly for patients receiving care outside of systems such as VA.


1994 ◽  
Vol 51 (13) ◽  
pp. 1672-1675
Author(s):  
Carol E. Howard ◽  
Christi C. Capers ◽  
David T. Bess ◽  
Robert J. Anderson

1993 ◽  
Vol 6 (3) ◽  
pp. 178-190 ◽  
Author(s):  
Thomas W. Weiss ◽  
Carol M. Ashton ◽  
Nelda P. Wray

Time series analysis is one of the methods health services researchers, managers and planners have to examine and predict utilization over time. The focus of this study is univariate time series techniques, which model the change in a dependent variable over time, using time as the only independent variable. These techniques can be used with administrative healthcare databases, which typically contain reliable, time-specific utilization variables, but may lack adequate numbers of variables needed for behavioral or economic modeling. The inpatient discharge database of the Department of Veterans Affairs, the Patient Treatment File, was used to calculate monthly time series over a six-year period for the nation and across US Census Bureau regions for three hospital utilization indicators: Average length of stay, discharge rate, and multiple stay ratio, a measure of readmissions. The first purpose of this study was to determine the accuracy of forecasting these indicators 24 months into the future using five univariate time series techniques. In almost all cases, techniques were able to forecast the magnitude and direction of future utilization within a 10% mean monthly error. The second purpose of the study was to describe time series of the three hospital utilization indicators. This approach raised several questions concerning Department of Veterans Affairs hospital utilization.


Sign in / Sign up

Export Citation Format

Share Document