Joshua R. Vest
Indiana University
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Journal of the American Medical Informatics Association | 2010
Joshua R. Vest; Larry Gamm
Recent federal policies and actions support the adoption of health information exchange (HIE) in order to improve healthcare by addressing fragmented personal health information. However, concerted efforts at facilitating HIE have existed for over two decades in this country. The lessons of these experiences include a recurrence of barriers and challenges beyond those associated with technology. Without new strategies, the current support and methods of facilitating HIE may not address these barriers.
Implementation Science | 2009
Joshua R. Vest; Larry Gamm
BackgroundU.S. healthcare organizations are confronted with numerous and varied transformational strategies promising improvements along all dimensions of quality and performance. This article examines the peer-reviewed literature from the U.S. for evidence of effectiveness among three current popular transformational strategies: Six Sigma, Lean/Toyota Production System, and Studers Hardwiring Excellence.MethodsThe English language health, healthcare management, and organizational science literature (up to December 2007) indexed in Medline, Web of Science, ABI/Inform, Cochrane Library, CINAHL, and ERIC was reviewed for studies on the aforementioned transformation strategies in healthcare settings. Articles were included if they: appeared in a peer-reviewed journal; described a specific intervention; were not classified as a pilot study; provided quantitative data; and were not review articles. Nine references on Six Sigma, nine on Lean/Toyota Production System, and one on StuderGroup meet the studys eligibility criteria.ResultsThe reviewed studies universally concluded the implementations of these transformation strategies were successful in improving a variety of healthcare related processes and outcomes. Additionally, the existing literature reflects a wide application of these transformation strategies in terms of both settings and problems. However, despite these positive features, the vast majority had methodological limitations that might undermine the validity of the results. Common features included: weak study designs, inappropriate analyses, and failures to rule out alternative hypotheses. Furthermore, frequently absent was any attention to changes in organizational culture or substantial evidence of lasting effects from these efforts.ConclusionDespite the current popularity of these strategies, few studies meet the inclusion criteria for this review. Furthermore, each could have been improved substantially in order to ensure the validity of the conclusions, demonstrate sustainability, investigate changes in organizational culture, or even how one strategy interfaced with other concurrent and subsequent transformation efforts. While informative results can be gleaned from less rigorous studies, improved design and analysis can more effectively guide healthcare leaders who are motivated to transform their organizations and convince others of the need to employ such strategies. Demanding more exacting evaluation of projects consultants, or partnerships with health management researchers in academic settings, can support such efforts.
Implementation Science | 2010
Joshua R. Vest; Larry Gamm; Brock A Oxford; Martha I Gonzalez; Kevin M Slawson
BackgroundHospital readmissions are a leading topic of healthcare policy and practice reform because they are common, costly, and potentially avoidable events. Hospitals face the prospect of reduced or eliminated reimbursement for an increasing number of preventable readmissions under nationwide cost savings and quality improvement efforts. To meet the current changes and future expectations, organizations are looking for potential strategies to reduce readmissions. We undertook a systematic review of the literature to determine what factors are associated with preventable readmissions.MethodsWe conducted a review of the English language medicine, health, and health services research literature (2000 to 2009) for research studies dealing with unplanned, avoidable, preventable, or early readmissions. Each of these modifying terms was included in keyword searches of readmissions or rehospitalizations in Medline, ISI, CINAHL, The Cochrane Library, ProQuest Health Management, and PAIS International. Results were limited to US adult populations.ResultsThe review included 37 studies with significant variation in index conditions, readmitting conditions, timeframe, and terminology. Studies of cardiovascular-related readmissions were most common, followed by all cause readmissions, other surgical procedures, and other specific-conditions. Patient-level indicators of general ill health or complexity were the commonly identified risk factors. While more than one study demonstrated preventable readmissions vary by hospital, identification of many specific organizational level characteristics was lacking.ConclusionsThe current literature on preventable readmissions in the US contains evidence from a variety of patient populations, geographical locations, healthcare settings, study designs, clinical and theoretical perspectives, and conditions. However, definitional variations, clear gaps, and methodological challenges limit translation of this literature into guidance for the operation and management of healthcare organizations. We recommend that those organizations that propose to reward reductions in preventable readmissions invest in additional research across multiple hospitals in order to fill this serious gap in knowledge of great potential value to payers, providers, and patients.
Journal of the American Medical Informatics Association | 2011
Joshua R. Vest; Hongwei Zhao; Jon Jaspserson; Larry Gamm; Robert L. Ohsfeldt
OBJECTIVE Health information exchange (HIE) is the process of electronically sharing patient-level information between providers. However, where implemented, reports indicate HIE system usage is low. The aim of this study was to determine the factors associated with different types of HIE usage. DESIGN Cross-sectional analysis of clinical data from emergency room encounters included in an operational HIE effort linked to system user logs using crossed random-intercept logistic regression. MEASUREMENTS Independent variables included factors indicative of information needs. System usage was measured as none, basic usage, or a novel pattern of usage. RESULTS The system was accessed for 2.3% of all encounters (6142 out of 271,305). Novel usage patterns were more likely for more complex patients. The odds of HIE usage were lower in the face of time constraints. In contrast to expectations, system usage was lower when the patient was unfamiliar to the facility. LIMITATIONS Because of differences between HIE efforts and the fact that not all types of HIE usage (ie, public health) could be included in the analysis, results are limited in terms of generalizablity. CONCLUSIONS This study of actual HIE system usage identifies patients and circumstances in which HIE is more likely to be used and factors that are likely to discourage usage. The paper explores the implications of the findings for system redesign, information integration across exchange partners, and for meaningful usage criteria emerging from provisions of the Health Information Technology for Economic & Clinical Health Act.
Journal of Medical Systems | 2009
Joshua R. Vest
Health information exchange (HIE) makes previously inaccessible data available to clinicians, resulting in more complete information. This study tested the hypotheses that HIE information access reduced emergency room visits and inpatient hospitalizations for ambulatory care sensitive conditions among medically indigent adults. HIE access was quantified by how frequently system users’ accessed patients’ data. Encounter counts were modeled using zero inflated binomial regression. HIE was not accessed for 43% of individuals. Patient factors associated with accessed data included: prior utilization, chronic conditions, and age. Higher levels of information access were significantly associated with increased counts of all encounter types. Results indicate system users were more likely to access HIE for patients for whom the information might be considered most beneficial. Ultimately, these results imply that HIE information access did not transform care in the ways many would expect. Expectations in utilization reductions, however logical, may have to be reevaluated or postponed.
Health Affairs | 2015
Saurabh Rahurkar; Joshua R. Vest; Nir Menachemi
Health information exchange (HIE), which is the transfer of electronic information such as laboratory results, clinical summaries, and medication lists, is believed to boost efficiency, reduce health care costs, and improve outcomes for patients. Stimulated by federal financial incentives, about two-thirds of hospitals and almost half of physician practices are now engaged in some type of HIE with outside organizations. To determine how HIE has affected such health care measures as cost, service use, and quality, we identified twenty-seven scientific studies, extracted selected characteristics from each, and meta-analyzed these characteristics for trends. Overall, 57 percent of published analyses reported some benefit from HIE. However, articles employing study designs having strong internal validity, such as randomized controlled trials or quasi-experiments, were significantly less likely than others to associate HIE with benefits. Among six articles with strong internal validity, one study reported paradoxical negative effects, three studies found no effect, and two studies reported that HIE led to benefits. Furthermore, these two studies had narrower focuses than the others. Overall, little generalizable evidence currently exists regarding benefits attributable to HIE.
Journal of Medical Systems | 2013
Joshua R. Vest; Thomas R. Campion; Rainu Kaushal
Health information exchange (HIE) is a promising approach to improving the cost and quality of healthcare. We sought to identify the strengths and weaknesses of organizational models to achieve exchange, and what can be done to ensure the sustainability and effectiveness of exchange efforts. We interviewed state and national health informatics policy experts (n = 17). Data were collected as part of an evaluation of the Health Care Efficiency and Affordability Law for New Yorkers (HEAL NY) program and included respondents from both the private and public sectors. Data were analyzed using a general inductive and comparative approach with open coding of themes. Interviewees generally viewed HIE as a public or societal good to be valued. However, they identified challenges with the regional health information organization (RHIO) model of facilitating exchange including: economics, organizational issues, and geography. RHIOs were contrasted against alternative methods of exchange such as Direct, enterprise HIE, and vendor-mediated exchange. HIE is a difficult undertaking due to political and economic reasons. Alternatives to the RHIO model have features that may be more attractive to participants, but may be of less public benefit. Using states as intermediaries and mandating exchange under public health law may avoid the challenges facing exchange efforts. Moving forward, policies will have to address the shortcomings of each HIE model to ensure information is effectively shared between providers to maximize health benefits.
Medical Care Research and Review | 2010
Joshua R. Vest; Jane N. Bolin; Thomas R. Miller; Larry Gamm; Thomas E. Siegrist; Luis E. Martinez
The medical home is a potentially transformative strategy to address issues of access, quality, and efficiency in the delivery of health care in the United States. While numerous organizations support a physician-driven definition, it is by no means the universally accepted definition. Several professional groups, payers, and researchers have offered differing, or nuanced, definitions of medical homes. This lack of consensus has contributed to uncertainty among providers about the medical home. We conducted a systematic review of the literature on the medical home and identified 29 professional, government, and academic sources offering definitions. While consensus appears to exist around a core of selected features, the medical home means different things to different people. The variation in definitions can be partly explained by the obligation of organizations to their members and whether the focus is on the patient or provider. Differences in definitions have implications at both the policy and practice levels.
Applied Clinical Informatics | 2014
Joshua R. Vest; Lisa M. Kern; Thomas R. Campion; Michael Silver; Rainu Kaushal
OBJECTIVE Relevant patient information is frequently difficult to obtain in emergency department (ED) visits. Improved provider access to previously inaccessible patient information may improve the quality of care and reduce hospital admissions. Health information exchange (HIE) systems enable access to longitudinal, community-wide patient information at the point of care. However, the ability of HIE to avert admissions is not well demonstrated. We sought to determine if HIE system usage is correlated with a reduction in admissions via the ED. METHODS We identified 15,645 adults from New York State with an ED visit during a 6-month period, all of whom consented to have their information accessible in the HIE system, and were continuously enrolled in two area health plans. Using claims we determined if the ED encounter resulted in an admission. We used the HIEs system log files to determine usage during the encounter. We determined the association between HIE system use and the likelihood of admission to the hospital from the ED and potential cost savings. RESULTS The HIE system was accessed during 2.4% of encounters. The odds of an admission were 30% lower when the system was accessed after controlling for confounding (odds ratio = 0.70; 95%C I= 0.52, 0.95). The annual savings in the sample was
Journal of the American Medical Informatics Association | 2015
Joshua R. Vest; Lisa M. Kern; Michael Silver; Rainu Kaushal
357,000. CONCLUSION These findings suggest that the use of an HIE system may reduce hospitalizations from the ED with resultant cost savings. This is an important outcome given the substantial financial investment in interventions designed to improve provider access to patient information in the US.