Introduction: Accurate data capture is integral for research and quality improvement efforts. Unfortunately, limited guidance for defining and documenting regional anesthesia has resulted in wide variation in documentation practices, even within individual hospitals, which can lead to missing and inaccurate data. This cross-sectional study sought to evaluate the performance of a natural language processing (NLP)-based algorithm developed to identify regional anesthesia within unstructured clinical notes.
View Article and Find Full Text PDFImportance: Care transition models are structured approaches used to ensure the smooth transfer of patients between health care settings or levels of care, but none currently are tailored to the surgical patient. Tailoring care transition models to the unique needs of surgical patients may lead to significant improvements in surgical outcomes and reduced care fragmentation. The first step to developing surgical care transition models is to understand the surgical discharge process.
View Article and Find Full Text PDFObjective: This work aimed to assess the therapeutic and economic benefits of service dogs versus emotional support dogs for veterans with posttraumatic stress disorder (PTSD).
Methods: Veterans with PTSD (N=227) participating in a multicenter trial were randomly assigned to receive a service or emotional support dog; 181 veterans received a dog and were followed up for 18 months. Primary outcomes included overall functioning (assessed with World Health Organization Disability Assessment Scale II [WHODAS 2.
Objective: Designing practical decision support tools and other health care technology in health services research relies on a clear understanding of the cognitive processes that underlie the use of these tools. Unfortunately, methods to explore cognitive processes are rarely used in health services research. Thus, the objective of this manuscript is to introduce cognitive task analysis (CTA), a family of methods to study cognitive processes involved in completing a task, to a health services research audience.
View Article and Find Full Text PDFBackground/objectives: To evaluate differences in end-of-life cost trajectories for cancer patients treated through Medicare versus by the Veterans Health Administration (VA).
Design: A retrospective analysis of VA and Medicare administrative data from FY 2010 to 2014. We employed three-level generalized estimating equations to evaluate monthly cost trajectories experienced by patients in their last year of life, with patients nested within hospital referral region.
Objective: Compare comorbidity identification in Medicare and Veterans Health Administration (VA) data for the purposes of risk adjustment.
Data Sources: Analysis of Medicare and VA datasets for dually-enrolled Veterans receiving care in both settings, fiscal years 2010-2014.
Study Design: A retrospective analysis of administrative data for a national sample of cancer decedents.
Background: The Centers for Medicare and Medicaid Services (CMS) has released quality measures regarding potentially avoidable hospitalizations visits in the 30 days after receipt of outpatient chemotherapy. This study evaluated the proportions of patients treated by Medicare-reimbursed clinicians and Veterans Health Administration (VA) clinicians who experienced avoidable acute care in order to evaluate differences in health system performance.
Methods: This retrospective evaluation of Medicare and VA administrative data used a cohort of cancer decedents (fiscal years 2010-2014).
Importance: Despite recommendations to reduce intensive medical treatment at the end of life, many patients with cancer continue to receive such services.
Objective: To quantify expected beneficiary and health system costs incurred in association with receipt of intensive medical services in the last month of life.
Design, Setting, And Participants: This retrospective cohort study used data collected nationally from Medicare and the Veterans Health Administration for care provided in fiscal years 2010 to 2014.