An Overview of Major Health Information Technology, Public Health, Medicaid, and COBRA Provisions of the American Recovery and Reinvestment Act of 2009

A detailed side-by-side analysis of the individual components of the American Recovery and Reinvestment Act of 2009 (ARRA), signed into law on February 17, 2009. One of the most sweeping pieces of economic legislation ever enacted, ARRA not only provides hundreds of billions of dollars in new health and health care spending but also makes comprehensive reforms in health law and policy, particularly in the area of health information law, including health information technology (HIT) adoption and health information privacy

An Overview of Major Health Provisions Contained in the American Recovery and Reinvestment Act of 2009

On February 17, 2009, President Barack Obama signed the American Recovery and Reinvestment Act of 2009 (ARRA) into law. One of the most sweeping pieces of economic legislation ever enacted, ARRA not only provides hundreds of billions of dollars in new health and health care spending but also makes comprehensive reforms in health law and policy, particularly in the area of health information law, including health information technology (HIT) adoption and health information privacy

Cancer patient preferences for communication of prognosis in the metastatic setting

PURPOSE: To identify preferences for and predictors of prognostic information among patients with incurable metastatic cancer. PATIENTS AND METHODS: One hundred twenty-six metastatic cancer patients seeing 30 oncologists at 12 outpatient clinics in New South Wales, Australia, participated in the study. Patients were diagnosed with incurable metastatic disease within 6 weeks to 6 months of recruitment. Patients completed a survey eliciting their preferences for prognostic information, including type, quantity, mode, and timing of presentation; anxiety and depression levels; and information and involvement preferences. RESULTS: More than 95% of patients wanted information about side effects, symptoms, and treatment options. The majority wanted to know longest survival time with treatment (85%), 5-year survival rates (80%), and average survival (81%). Words and numbers were preferred over pie charts or graphs. Fifty-nine percent (59%) wanted to discuss expected survival when first diagnosed with metastatic disease. Thirty-eight percent and 44% wanted to negotiate when expected survival and dying, respectively, were discussed. Patients with higher depression scores were more likely to want to know shortest time to live without treatment (P = .047) and average survival (P = .049). Lower depression levels were significantly associated with never wanting to discuss expected survival (P = .03). Patients with an expected survival of years were more likely to want to discuss life expectancy when first diagnosed with metastases (P = .02). CONCLUSION: Most metastatic cancer patients want detailed prognostic information but prefer to negotiate the extent, format, and timing of the information they receive from their oncologists.<br /

Psychological impact of comprehensive tumor genomic profiling results for advances cancer patients

Objective Comprehensive tumor genomic profiling (CTGP) is increasingly used to personalize treatments, providing hope, but potentially disappointment, for patients. We explored psychological outcomes in patients with advanced, incurable cancer, after receiving CTGP results. Methods Participants with advanced, incurable cancer (n = 560, mean age 56, 43% university educated) in this longitudinal substudy of the Molecular Screening and Therapeutics Program (MoST), completed questionnaires before and after receiving CGP results. MoST participants, recruited from Australian oncology clinics, undergo CTGP, and if there are actionable findings, are offered treatment in a related therapeutic trial if available. Results Patients who received actionable results, (n = 356, 64%) had lower gene-related distress (MICRA) (p \u3c 0.001) and Impact of Events scores (p = 0.039) than patients with non-actionable results. Those with actionable results offered ensured access to tailored treatment (n = 151) reported lower anxiety (p = 0.002) and depressive symptoms (p = 0.01) and greater hope (p = 0.002) than those not offered. Positive attitudes towards uncertainty and higher self-efficacy for coping with results were associated with lower psychological distress and uncertainty, and higher hope and satisfaction with the decision to have CTGP (ps=0.001–0.047). Those with higher knowledge reported greater anxiety (p = 0.034). Conclusion Receiving a non-actionable CTGP result, or an actionable result without ensured access to treatment, may cause increased distress in advanced cancer patients. Coping style was also associated with distress. Practice implications Pre-testing assessment and counseling addressing attitudes toward uncertainty and self-efficacy, and post-CTGP result support for patients receiving a non-actionable result or who receive an actionable results without ensured access to treatment, may benefit patients

Psychological outcomes in advanced cancer patients after receiving genomic tumor profiling results

Background: Comprehensive tumor genomic profiling (CGP) offers hope for personalized treatment for cancer patients when other treatment options have been exhausted. However, receipt of nonactionable or ambiguous results could be an ongoing source of distress. We investigated patterns of hope, anxiety, depression, and CGP-specific anxiety in advanced cancer patients after receiving CGP results and 2–3months later. Method: Participants were enrolled in a longitudinal psychosocial substudy, embedded in the Molecular Screening and Therapeutics Program, and had advanced solid cancers of any histological type with sufficient and accessible tissue for CGP. At T0 (before receiving CGP results), 1,431 participants completed sociodemographic, disease and psychosocial measures. At T1 (1–4 weeks after receiving CGP results) and T2 (2–3 months post-T1), 374 participants completed psychological outcome measures. Predictors of outcomes at T2 were identified using multinomial logistic regression. Results: Approximately 75% of participants did not experience significant hopelessness or distress at T1 and T2.Hope decreased by T2, yet general anxiety and CGP-specific anxiety also decreased. Receiving actionable results did not impact psychological outcomes at T2. At T2, lower hope, and higher anxiety, depression and CGP-specific anxiety were associated with lower self-efficacy. Psychological and demo-graphic factors (age, socioeconomic status, language, medical occupation, urban living, family history of cancer) independently predicted one or more psychological trajectories. Worse health status and perceived susceptibility to cancer progression predicted hope and anxiety trajectories. Conclusion: Further research on interventions to best support patients undergoing CGP with high anxiety, hopelessness, fear of cancer progression, and poorer health is urgently needed

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.

MotivationElectronic health records (EHRs) are quickly becoming omnipresent in healthcare, but interoperability issues and technical demands limit their use for biomedical and clinical research. Interactive and flexible software that interfaces directly with EHR data structured around a common data model (CDM) could accelerate more EHR-based research by making the data more accessible to researchers who lack computational expertise and/or domain knowledge.ResultsWe present PatientExploreR, an extensible application built on the R/Shiny framework that interfaces with a relational database of EHR data in the Observational Medical Outcomes Partnership CDM format. PatientExploreR produces patient-level interactive and dynamic reports and facilitates visualization of clinical data without any programming required. It allows researchers to easily construct and export patient cohorts from the EHR for analysis with other software. This application could enable easier exploration of patient-level data for physicians and researchers. PatientExploreR can incorporate EHR data from any institution that employs the CDM for users with approved access. The software code is free and open source under the MIT license, enabling institutions to install and users to expand and modify the application for their own purposes.Availability and implementationPatientExploreR can be freely obtained from GitHub: https://github.com/BenGlicksberg/PatientExploreR. We provide instructions for how researchers with approved access to their institutional EHR can use this package. We also release an open sandbox server of synthesized patient data for users without EHR access to explore: http://patientexplorer.ucsf.edu.Supplementary informationSupplementary data are available at Bioinformatics online

Advanced cancer patient preferences for receiving molecular profiling results

Objective: This study aimed to discern preferences for receiving somatic molecular profiling (MP) results in cancer patients who have given consent to undergo testing. Methods: We conducted a mixed‐methods study to explore patients’ views on which MP results they would like to receive and why. Advanced cancer patients (n=1299) completed questionnaires after giving consent to participate in a parent genomics study and undergoing MP. A subset of patients (n=20) participated in qualitative interviews. Results: Almost all (96%) participants were interested in receiving results which would direct cancer treatment (i.e. were actionable). A smaller majority wanted to access results which were not actionable (64%) or were variants of unknown significance (60%). Most (86%) were interested in finding out about germline findings, though not as a priority. Themes identified in interview data were: 1) Cancer is the focus; 2) Trust in clinicians; and 3) Respect for a right not to know. Conclusions: The majority of advanced cancer patients undergoing MP prioritised results which would lead to treatment options. They trusted their oncologists to help them navigate the results return process. While there was interest in knowing about other results, this was a lesser priority. Nevertheless, given high levels of interest in receiving all results, ethical aspects of not providing uninformative results requires further research, including a consideration of patient rationales for desiring this information and what health professionals can and should do to support patients in the absence of meaningful information being available. This article is protected by copyright. All rights reserved

The essential role of multi-point measurements in investigations of turbulence, three-dimensional structure, and dynamics: the solar wind beyond single scale and the Taylor Hypothesis

Space plasmas are three-dimensional dynamic entities. Except under very special circumstances, their structure in space and their behavior in time are not related in any simple way. Therefore, single spacecraft in situ measurements cannot unambiguously unravel the full space-time structure of the heliospheric plasmas of interest in the inner heliosphere, in the Geospace environment, or the outer heliosphere. This shortcoming leaves numerous central questions incompletely answered. Deficiencies remain in at least two important subjects, Space Weather and fundamental plasma turbulence theory, due to a lack of a more complete understanding of the space-time structure of dynamic plasmas. Only with multispacecraft measurements over suitable spans of spatial separation and temporal duration can these ambiguities be resolved. We note that these characterizations apply to turbulence across a wide range of scales, and also equally well to shocks, flux ropes, magnetic clouds, current sheets, stream interactions, etc. In the following, we will describe the basic requirements for resolving space-time structure in general, using turbulence' as both an example and a principal target or study. Several types of missions are suggested to resolve space-time structure throughout the Heliosphere.Comment: White Paper submitted to: Decadal Survey for Solar and Space Physics (Heliophysics) 2024-2033. arXiv admin note: substantial text overlap with arXiv:1903.0689