Transfer of Information from Personal Health Records: A Survey of Veterans Using My HealtheVet

Abstract Objective: Personal health records provide patients with ownership of their health information and allow them to share information with multiple healthcare providers. However, the usefulness of these records relies on patients understanding and using their records appropriately. My HealtheVet is a Web-based patient portal containing a personal health record administered by the Veterans Health Administration. The goal of this study was to explore veterans' interest and use of My HealtheVet to transfer and share information as well as to identify opportunities to increase veteran use of the My HealtheVet functions. Materials and Methods: Two waves of data were collected in 2010 through an American Customer Satisfaction Index Web-based survey. A random sample of veterans using My HealtheVet was invited to participate in the survey conducted on the My HealtheVet portal through a Web-based pop-up browser window. Results: Wave One results (n=25,898) found that 41% of veterans reported printing information, 21% reported saving information electronically, and only 4% ever sent information from My HealtheVet to another person. In Wave Two (n=18,471), 30% reported self-entering medication information, with 18% sharing this information with their Veterans Affairs (VA) provider and 9.6% sharing with their non-VA provider. Conclusion: Although veterans are transferring important medical information from their personal health records, increased education and awareness are needed to increase use. Personal health records have the potential to improve continuity of care. However, more research is needed on both the barriers to adoption as well as the actual impact on patient health outcomes and well-being.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/98490/1/tmj%2E2011%2E0109.pd

A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews

BACKGROUND: Many health care systems now allow patients to access their electronic health record (EHR) notes online through patient portals. Medical jargon in EHR notes can confuse patients, which may interfere with potential benefits of patient access to EHR notes. OBJECTIVE: The aim of this study was to develop and evaluate the usability and content quality of NoteAid, a Web-based natural language processing system that links medical terms in EHR notes to lay definitions, that is, definitions easily understood by lay people. METHODS: NoteAid incorporates two core components: CoDeMed, a lexical resource of lay definitions for medical terms, and MedLink, a computational unit that links medical terms to lay definitions. We developed innovative computational methods, including an adapted distant supervision algorithm to prioritize medical terms important for EHR comprehension to facilitate the effort of building CoDeMed. Ten physician domain experts evaluated the user interface and content quality of NoteAid. The evaluation protocol included a cognitive walkthrough session and a postsession questionnaire. Physician feedback sessions were audio-recorded. We used standard content analysis methods to analyze qualitative data from these sessions. RESULTS: Physician feedback was mixed. Positive feedback on NoteAid included (1) Easy to use, (2) Good visual display, (3) Satisfactory system speed, and (4) Adequate lay definitions. Opportunities for improvement arising from evaluation sessions and feedback included (1) improving the display of definitions for partially matched terms, (2) including more medical terms in CoDeMed, (3) improving the handling of terms whose definitions vary depending on different contexts, and (4) standardizing the scope of definitions for medicines. On the basis of these results, we have improved NoteAid\u27s user interface and a number of definitions, and added 4502 more definitions in CoDeMed. CONCLUSIONS: Physician evaluation yielded useful feedback for content validation and refinement of this innovative tool that has the potential to improve patient EHR comprehension and experience using patient portals. Future ongoing work will develop algorithms to handle ambiguous medical terms and test and evaluate NoteAid with patients

Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review

BACKGROUND: Self-management is essential to caring for high-need, high-cost (HNHC) populations. Advances in mobile phone technology coupled with increased availability and adoption of health-focused mobile apps have made self-management more achievable, but the extent and quality of the literature supporting their use is not well defined. OBJECTIVE: The purpose of this review was to assess the breadth, quality, bias, and types of outcomes measured in the literature supporting the use of apps targeting HNHC populations. METHODS: Data sources included articles in PubMed and MEDLINE (National Center for Biotechnology Information), EMBASE (Elsevier), the Cochrane Central Register of Controlled Trials (EBSCO), Web of Science (Thomson Reuters), and the NTIS (National Technical Information Service) Bibliographic Database (EBSCO) published since 2008. We selected studies involving use of patient-facing iOS or Android mobile health apps. Extraction was performed by 1 reviewer; 40 randomly selected articles were evaluated by 2 reviewers to assess agreement. RESULTS: Our final analysis included 175 studies. The populations most commonly targeted by apps included patients with obesity, physical handicaps, diabetes, older age, and dementia. Only 30.3% (53/175) of the apps studied in the reviewed literature were identifiable and available to the public through app stores. Many of the studies were cross-sectional analyses (42.9%, 75/175), small (median number of participants=31, interquartile range 11.0-207.2, maximum 11,690), or performed by an app\u27s developers (61.1%, 107/175). Of the 175 studies, only 36 (20.6%, 36/175) studies evaluated a clinical outcome. CONCLUSIONS: Most apps described in the literature could not be located on the iOS or Android app stores, and existing research does not robustly evaluate the potential of mobile apps. Whereas apps may be useful in patients with chronic conditions, data do not support this yet. Although we had 2-3 reviewers to screen and assess abstract eligibility, only 1 reviewer abstracted the data. This is one limitation of our study. With respect to the 40 articles (22.9%, 40/175) that were assigned to 2 reviewers (of which 3 articles were excluded), inter-rater agreement was significant on the majority of items (17 of 30) but fair-to-moderate on others

Humanism in telemedicine: Connecting through virtual visits during the COVID-19 pandemic

The COVID-19 pandemic is spurring the massive deployment of telemedicine to prevent risk of infection and address healthcare workforce demands. In primary care, many visits have shifted from in-person to telemedicine, introducing a potential barrier to the human connection that is central to clinical care. We adapted existing frameworks that seek to foster humanism in clinical care-the Four Habits Model and Presence 5-to the virtual care context. Reconceptualizing these frameworks to video visits in particular yields strategies for four phases of the visit - (1) Before the Visit: Set up for Success, (2) Beginning the Visit: Establish a Connection, (3) Throughout the Visit: Invest in the Relationship and the Patient's Story, and (4) Completing the Visit: End on a Meaningful Note. Adopting explicit humanistic practices can help clinicians foster meaningful connections with patients through video visits amidst this challenging pandemic and in the future as telemedicine becomes more widely integrated into clinical care.This study was supported by a grant from the Gordon and Betty Moore Foundation (#6382; PIs Donna Zulman and Abraham Verghese). Megha Shankar is supported by a VA Office of Academic Affairs Advanced Fellowship in Health Services Research. The views expressed herein are those of the authors and do not necessarily reflect the views of the Department of Veterans Affairs, the Gordon and Betty Moore Foundation, or Stanford University School of Medicine.https://deepblue.lib.umich.edu/bitstream/2027.42/154738/1/Shankar article file.pdfDescription of Shankar article file.pdf : Main articl

The Shared Health Appointments and Reciprocal Enhanced Support (SHARES) study: study protocol for a randomized trial

Abstract Background Diabetes shared medical appointments (SMAs) and reciprocal peer support programs have been found in efficacy trials to help adults with diabetes improve their self-management and achieve short-term gains in clinical and patient-centered outcomes. In order to translate this evidence to system-level interventions, there is a need for large-scale, pragmatic trials that examine the effectiveness, implementation, and costs of SMAs and reciprocal peer support across diverse settings. Methods The Shared Health Appointments and Reciprocal Enhanced Support (SHARES) study is a multisite, cluster randomized trial that is evaluating the effectiveness and implementation of SMAs with and without an additional reciprocal Peer-to-Peer (P2P) support program, when compared to usual care. The P2P program comprises periodic peer support group sessions and telephone contact between SMA participant pairs to promote more effective diabetes self-management. We will examine outcomes across three different treatment groups: (1) SMAs, (2) SMAs plus P2P, and (3) usual care. We will collect and analyze data over a 2.5-year implementation period at five geographically diverse Veterans Affairs (VA) health systems. The primary outcome is the relative change in hemoglobin A1c over time. Secondary outcomes are changes in systolic blood pressure, antihypertensive medication use, statin use, and insulin initiation over the study period. The unit of analysis is the individual, adjusted by the individual’s SMA group (the cluster). We will use mixed methods to rigorously evaluate processes and costs of implementing these programs in each of the clinic settings. Discussion We hypothesize that patients will experience improved outcomes immediately following participation in SMAs and that augmenting SMAs with reciprocal peer support will help to maintain these gains over time. The results of this study will be among the first to examine the effects of diabetes SMAs alone and in conjunction with P2P in a range of real-life clinical settings. In addition, the study will provide important information on contextual factors associated with successful program implementation. Trial registration ClinicalTrials.gov, ID: NCT02132676 . Registered on 21 August 2013.https://deepblue.lib.umich.edu/bitstream/2027.42/136794/1/13063_2017_Article_1959.pd

Research priorities in geriatric palliative care: multimorbidity.

With global aging and scientific advances extending survival, the number of adults experiencing multiple chronic conditions has grown substantially and is projected to increase by another third between 2000 and 2030. Among the many challenges posed by multimorbidity, some of the most pressing include how to characterize and measure comorbid conditions, understand symptoms and illness burden, and provide person-centered care in the context of competing health care priorities and increasing complexity. In this white paper emanating from a National Institute on Aging supported conference to discuss research gaps at the geriatrics-palliative care interface, the authors review common definitions of multimorbidity; describe the association between multimorbidity and quality of life, functional status, quality of care, and health care utilization; note content and methodological gaps in multimorbidity evidence; and make recommendations regarding research priorities in this area of expanding public health impact

Research priorities in geriatric palliative care: multimorbidity.

With global aging and scientific advances extending survival, the number of adults experiencing multiple chronic conditions has grown substantially and is projected to increase by another third between 2000 and 2030. Among the many challenges posed by multimorbidity, some of the most pressing include how to characterize and measure comorbid conditions, understand symptoms and illness burden, and provide person-centered care in the context of competing health care priorities and increasing complexity. In this white paper emanating from a National Institute on Aging supported conference to discuss research gaps at the geriatrics-palliative care interface, the authors review common definitions of multimorbidity; describe the association between multimorbidity and quality of life, functional status, quality of care, and health care utilization; note content and methodological gaps in multimorbidity evidence; and make recommendations regarding research priorities in this area of expanding public health impact

Research Priorities in Geriatric Palliative Care: Multimorbidity

With global aging and scientific advances extending survival, the number of adults experiencing multiple chronic conditions has grown substantially and is projected to increase by another third between 2000 and 2030. Among the many challenges posed by multimorbidity, some of the most pressing include how to characterize and measure comorbid conditions, understand symptoms and illness burden, and provide person-centered care in the context of competing health care priorities and increasing complexity. In this white paper emanating from a National Institute on Aging supported conference to discuss research gaps at the geriatrics–palliative care interface, the authors review common definitions of multimorbidity; describe the association between multimorbidity and quality of life, functional status, quality of care, and health care utilization; note content and methodological gaps in multimorbidity evidence; and make recommendations regarding research priorities in this area of expanding public health impact

The Relative Merits of Population-Based and Targeted Prevention Strategies

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72973/1/j.1468-0009.2008.00534.x.pd