Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial

BACKGROUND: Coordination of care, especially after a patient experiences an acute care event, is a challenge for many health systems. Event notification is a form of health information exchange (HIE) which has the potential to support care coordination by alerting primary care providers when a patient experiences an acute care event. While promising, there exists little evidence on the impact of event notification in support of reengagement into primary care. The objectives of this study are to 1) examine the effectiveness of event notification on health outcomes for older adults who experience acute care events, and 2) compare approaches to how providers respond to event notifications. METHODS: In a cluster randomized trial conducted across two medical centers within the U.S. Veterans Health Administration (VHA) system, we plan to enroll older patients (≥ 65 years of age) who utilize both VHA and non-VHA providers. Patients will be enrolled into one of three arms: 1) usual care; 2) event notifications only; or 3) event notifications plus a care transitions intervention. In the event notification arms, following a non-VHA acute care encounter, an HIE-based intervention will send an event notification to VHA providers. Patients in the event notification plus care transitions arm will also receive 30 days of care transition support from a social worker. The primary outcome measure is 90-day readmission rate. Secondary outcomes will be high risk medication discrepancies as well as care transitions processes within the VHA health system. Qualitative assessments of the intervention will inform VHA system-wide implementation. DISCUSSION: While HIE has been evaluated in other contexts, little evidence exists on HIE-enabled event notification interventions. Furthermore, this trial offers the opportunity to examine the use of event notifications that trigger a care transitions intervention to further support coordination of care. TRIAL REGISTRATION: ClinicalTrials.gov NCT02689076. "Regional Data Exchange to Improve Care for Veterans After Non-VA Hospitalization." Registered 23 February 2016

Strategic Intelligence Monitor on Personal Health Systems Phase 3 (SIMPHS3).Veterans Health Administration (USA). Case Study Report

The Veterans Health Administration (VHA) is an agency of the United States Department of Veterans’ Affairs (this Department that has the 3rd largest budget among departments of the US administration). The medical assistance program implemented by the VHA is the largest integrated care system in the US (consisting of 150 medical centres and nearly 1,700 facilities comprising community-based outpatient clinics, community living centres, Veterans’ Centres and domiciliary assistance). It provides comprehensive care to almost 9 million veterans every year. The VHA is centrally administered and fully integrated; its services are funded and provided by the federal government. Therefore the VHA works both as a provider and payer, a rather unusual feature in the US health care structure. In fact, VHA is the only truly national health care system in the US, with hospitals or other facilities in every state and major metropolitan area of the country, as well as in Puerto Rico, the Virgin Islands, Guam, American Samoa and the Philippines. The VHA network is divided into 23 Veterans Integrated Service Networks, or VISNs, i.e. regional systems of care working together to better meet local health care needs and provide greater access to care.JRC.J.3-Information Societ

Maintaining Nurses\u27 Currency in Informatics

Technology has changed how registered nurses (RNs) provide care at the bedside. As more technologies are utilized to improve quality of care, safety of care, maximize efficiencies, and decrease costs of care, one must question how well the information technologies (IT) are fully integrated and utilized by the front-line bedside nurse in his or her practice. Despite the pervasiveness of IT in healthcare, there is a paucity of literature on how Chief Nursing Officers (CNOs) assure the ongoing education and training for nurses to maintain IT competencies in the practice environment. From this author’s lived experience as a CNO, it is imperative to gain a better understanding of how to maintain nurses full use of IT capabilities in the electronic health record (EHR) to provide safe, quality care. This Doctor of Nursing project developed an ongoing EHR training program, for staff nurses, that was hard-wired into the organization’s educational plan. Additionally, this project was designed to increase nurses’ confidence to more effectively and efficiently navigate through the EHR and locate desired information in a timely manner for providing optimal clinical care. This DNP project identified, organized, and streamlined current resources into a sustained, multifaceted ongoing training program. Materials, guides, and lesson plans were presented in a module format with multiple educational classes offered. The “Post-Training Only Evaluation Survey Template” instrument, developed by the Northwest Center for Public Health Practice from the University of Washington, was used to assess nurses’ ability to navigate pertinent clinical information post training. The survey tool provided feedback to the project sponsor to help identify areas where the course content did not improve the trainees’ efficiency and effectiveness in using the EHR. This project provided information that will be helpful in developing future trainings and will be adopted by the facility for use by other disciplines and units. Literature provided little guidance on how to maintain nurses’ competencies in IT in the practice environment. This project served as a foundation for altering future trainings in IT, including the EHR, to better meet the needs of registered nurses. Chief Nursing Officers can foster ongoing IT learning through providing supportive processes that empower nurses to acquire the knowledge and skills to be effective in their roles

Addressing the Health Needs of Rural Native Veterans: Assessment and Recommendations

Native Veterans comprise unique populations within the VeteransAdministration (VA) system of care and represent a proud tradition of military service. Limited healthcare data available on rural Native veterans indicate significant disparities in access to care and health status compared with other populations. This article provides an assessment of current challenges, barriers, and issues related to addressing the healthcare needs of rural Native veterans and offers recommendations to improve healthcare for this special population. To meet the needs of rural Native veterans it will be important to: conduct needs assessments to gather important health data about rural Native veterans; develop a clearinghouse of information on and for rural Native veterans and disseminate this information widely; develop strategies to enhance transportation policies and provisions; expand the use of technology and outreach; work toward increasing cultural competence among VA employees; and improve the availability of traditional healing services

Organizational factors and depression management in community-based primary care settings

Abstract Background Evidence-based quality improvement models for depression have not been fully implemented in routine primary care settings. To date, few studies have examined the organizational factors associated with depression management in real-world primary care practice. To successfully implement quality improvement models for depression, there must be a better understanding of the relevant organizational structure and processes of the primary care setting. The objective of this study is to describe these organizational features of routine primary care practice, and the organization of depression care, using survey questions derived from an evidence-based framework. Methods We used this framework to implement a survey of 27 practices comprised of 49 unique offices within a large primary care practice network in western Pennsylvania. Survey questions addressed practice structure (e.g., human resources, leadership, information technology (IT) infrastructure, and external incentives) and process features (e.g., staff performance, degree of integrated depression care, and IT performance). Results The results of our survey demonstrated substantial variation across the practice network of organizational factors pertinent to implementation of evidence-based depression management. Notably, quality improvement capability and IT infrastructure were widespread, but specific application to depression care differed between practices, as did coordination and communication tasks surrounding depression treatment. Conclusions The primary care practices in the network that we surveyed are at differing stages in their organization and implementation of evidence-based depression management. Practical surveys such as this may serve to better direct implementation of these quality improvement strategies for depression by improving understanding of the organizational barriers and facilitators that exist within both practices and practice networks. In addition, survey information can inform efforts of individual primary care practices in customizing intervention strategies to improve depression management.http://deepblue.lib.umich.edu/bitstream/2027.42/78269/1/1748-5908-4-84.xmlhttp://deepblue.lib.umich.edu/bitstream/2027.42/78269/2/1748-5908-4-84-S1.PDFhttp://deepblue.lib.umich.edu/bitstream/2027.42/78269/3/1748-5908-4-84.pdfPeer Reviewe

The Evolution of Elderly Telehealth and Health Informatics

Many elderly individuals experience memory loss and often dementia as they age. This causes problems for the elderly due to diminished skills and increase in medical problems and natural decline. The Veterans Health Administration (VHA) introduced a national home telehealth program, Care Coordination/Home Telehealth (CCHT). Its purpose was to coordinate the care of veteran patients with chronic conditions and avoid their unnecessary admission to long-term institutional care. Such programs are cost-effective. Long-term care insurance companies are likely to cover these services. Home care and nursing home corporations are following the VHA’s lead. We have recently witnessed significant advances in technology. Internet and mobile applications have opened a new world, providing information and opportunities for individuals to learn more information about illness and at a much faster rate. Smart home technology has evolved. Elderly patients often encounter difficulties using these technologies. Despite the advances in telehealth and telemedicine and the evolution of the technology, many individuals cannot afford the treatment or the technology. These same individuals and families are part of the digital divide, and they have not embraced the new technology. Federal programs have been developed and implemented to help this portion of the population

Dual Use of a Patient Portal and Clinical Video Telehealth by Veterans with Mental Health Diagnoses: Retrospective, Cross-Sectional Analysis

BACKGROUND: Access to mental health care is challenging. The Veterans Health Administration (VHA) has been addressing these challenges through technological innovations including the implementation of Clinical Video Telehealth, two-way interactive and synchronous videoconferencing between a provider and a patient, and an electronic patient portal and personal health record, My HealtheVet. OBJECTIVE: This study aimed to describe early adoption and use of My HealtheVet and Clinical Video Telehealth among VHA users with mental health diagnoses. METHODS: We conducted a retrospective, cross-sectional analysis of early My HealtheVet adoption and Clinical Video Telehealth engagement among veterans with one or more mental health diagnoses who were VHA users from 2007 to 2012. We categorized veterans into four electronic health (eHealth) technology use groups: My HealtheVet only, Clinical Video Telehealth only, dual users who used both, and nonusers of either. We examined demographic characteristics and mental health diagnoses by group. We explored My HealtheVet feature use among My HealtheVet adopters. We then explored predictors of My HealtheVet adoption, Clinical Video Telehealth engagement, and dual use using multivariate logistic regression. RESULTS: Among 2.17 million veterans with one or more mental health diagnoses, 1.51% (32,723/2,171,325) were dual users, and 71.72% (1,557,218/2,171,325) were nonusers of both My HealtheVet and Clinical Video Telehealth. African American and Latino patients were significantly less likely to engage in Clinical Video Telehealth or use My HealtheVet compared with white patients. Low-income patients who met the criteria for free care were significantly less likely to be My HealtheVet or dual users than those who did not. The odds of Clinical Video Telehealth engagement and dual use decreased with increasing age. Women were more likely than men to be My HealtheVet or dual users but less likely than men to be Clinical Video Telehealth users. Patients with schizophrenia or schizoaffective disorder were significantly less likely to be My HealtheVet or dual users than those with other mental health diagnoses (odds ratio, OR 0.50, CI 0.47-0.53 and OR 0.75, CI 0.69-0.80, respectively). Dual users were younger (53.08 years, SD 13.7, vs 60.11 years, SD 15.83), more likely to be white, and less likely to be low-income than the overall cohort. Although rural patients had 17% lower odds of My HealtheVet adoption compared with urban patients (OR 0.83, 95% CI 0.80-0.87), they were substantially more likely than their urban counterparts to engage in Clinical Video Telehealth and dual use (OR 2.45, 95% CI 1.95-3.09 for Clinical Video Telehealth and OR 2.11, 95% CI 1.81-2.47 for dual use). CONCLUSIONS: During this study (2007-2012), use of these technologies was low, leaving much potential for growth. There were sociodemographic disparities in access to My HealtheVet and Clinical Video Telehealth and in dual use of these technologies. There was also variation based on types of mental health diagnosis. More research is needed to ensure that these and other patient-facing eHealth technologies are accessible and effectively used by all vulnerable patients

Supporting the Implementation of Connected Care Technologies in the Veterans Health Administration: Cross-Sectional Survey Findings from the Veterans Engagement with Technology Collaborative (VET-C) Cohort

BACKGROUND: Widespread adoption, use, and integration of patient-facing technologies into the workflow of health care systems has been slow, thus limiting the realization of their potential. A growing body of work has focused on how best to promote adoption and use of these technologies and measure their impacts on processes of care and outcomes. This body of work currently suffers from limitations (eg, cross-sectional analyses, limited patient-generated data linked with clinical records) and would benefit from institutional infrastructure to enhance available data and integrate the voice of the patient into implementation and evaluation efforts. OBJECTIVE: The Veterans Health Administration (VHA) has launched an initiative called the Veterans Engagement with Technology Collaborative cohort to directly address these challenges. This paper reports the process by which the cohort was developed and describes the baseline data being collected from cohort members. The overarching goal of the Veterans Engagement with Technology Collaborative cohort is to directly engage veterans in the evaluation of new VHA patient-facing technologies and in so doing, to create new infrastructure to support related quality improvement and evaluation activities. METHODS: Inclusion criteria for veterans to be eligible for membership in the cohort included being an active user of VHA health care services, having a mobile phone, and being an established user of existing VHA patient-facing technologies as represented by use of the secure messaging feature of VHA\u27s patient portal. Between 2017 and 2018, we recruited veterans who met these criteria and administered a survey to them over the telephone. RESULTS: The majority of participants (N=2727) were male (2268/2727, 83.2%), White (2226/2727, 81.6%), living in their own apartment or house (2519/2696, 93.4%), and had completed some college (1176/2701, 43.5%) or an advanced degree (1178/2701, 43.6%). Cohort members were 59.9 years old, on average. The majority self-reported their health status as being good (1055/2725, 38.7%) or very good (524/2725, 19.2%). Most cohort members owned a personal computer (2609/2725, 95.7%), tablet computer (1616/2716, 59.5%), and/or smartphone (2438/2722, 89.6%). CONCLUSIONS: The Veterans Engagement with Technology Collaborative cohort is an example of a VHA learning health care system initiative designed to support the data-driven implementation of patient-facing technologies into practice and measurement of their impacts. With this initiative, VHA is building capacity for future, rapid, rigorous evaluation and quality improvement efforts to enhance understanding of the adoption, use, and impact of patient-facing technologies

Computerised Clinical Reminders Use in an Integrated Healthcare System

Objective: To examine levels of routine computerised clinical reminder use in a nationwide sample of primary care physicians and to identify factors influencing reminder use. Design: Cross-sectional using a self-administered questionnaire. Setting: The United States Veterans Health Administration. Methods: Survey responses from 461 VHA primary care physicians sampled from across the Veterans Health Administration were sampled and analysed. We asked physicians how many computerised clinical reminders they use per patient per visit and when they typically use computerised clinical reminders in their clinics. Measured physician characteristics included age, gender, year of medical degree, number of days in clinic per week, and attitudes towards computerised clinical reminders (measured on Likert-like scales). We used multivariable linear regression to determine factors associated with greater use of computerised clinical reminders per patient per visit. Results: Average computerised clinical reminder use per patient visit was 4.2 (SD = 2.5). Eightysix percent of physicians resolve reminders during the visit. In a multivariable regression model, a higher score on the team factors scale is associated with use of more reminders (increase of 0.24 reminders for each unit increase on the team factors scale, or one extra reminder for each four unit increase in the team factor scale). Working more days in clinic is associated with use of more reminders per patient visit (increase of 0.13 reminders for each extra half-day of clinic per week, or about one additional reminder for physicians working ten half-days per week versus physicians working two half-days per week). Academic facility affiliation is associated with one less reminder used per patient visit as compared with no affiliation. Conclusions: Most United States Veterans Health Administration primary care physicians use computerised clinical reminders, typically during the patient visit. Strategies to increase reminder use should focus on improving physicians’ understanding of their role in completing reminder-related tasks and improving usability for users such as physicians who work in clinic less frequently

Standardized Automated Notification Process for Safe and Effective Management of Test Result Delivery in a VA Faciliity.

D.N.P. Thesis. University of Hawaiʻi at Mānoa 2017