Timothy R. Huerta

Hospital IT adoption strategies associated with implementation success: implications for achieving meaningful use.

EXECUTIVE SUMMARY Health systems are facing significant pressure to either implement health information technology (HIT) systems that have “certified” electronic health record applications and that fulfill the federal governments definition of “meaningful use” or risk substantial financial penalties in the near future. To this end, hospitals have adopted one of three strategies, described as “best of breed,” “best of suite,” and “single vendor,” to meet organizational and regulatory demands. The single‐vendor strategy is used by the simple majority of U.S. hospitals, but is it the most effective mode for achieving full implementation? Moreover, what are the implications of adopting this strategy for achieving meaningful use? The simple answer to the first question is that the hospitals using the hybrid best of suite strategy had fully implemented HIT systems in significantly greater proportions than did hospitals employing either of the other strategies. Nonprofit and system‐affiliated hospitals were more likely to have fully implemented their HIT systems. In addition, increased health maintenance organization market penetration rates were positively correlated with complete implementation rates. These results have ongoing implications for achieving meaningful use in the near term. The federal governments rewards and incentives program related to the meaningful use of HIT in hospitals has created an organizational imperative to implement such systems. For hospitals that have not begun systemwide implementation, pursuing a best of suite strategy may provide the greatest chance for achieving all or some of the meaningful use targets in the near term or at least avoiding future penalties scheduled to begin in 2015.

Effective US health system websites: establishing benchmarks and standards for effective consumer engagement.

EXECUTIVE SUMMARY Hospitals and health systems are playing increasingly important roles as care coordination hubs and consumer information sources. In particular, the accountable care organization (ACO) and medical home models promoted in the Affordable Care Act place hospitals at the center of many activities related to health information exchange. Therefore, it is important for these organizations to have effective websites, and the need for a social media presence to connect with consumers is growing quickly. The purpose of this study is to assess the websites of hospitals and health systems on four dimensions: accessibility, content, marketing, and technology. In addition, an overall score is calculated to identify the top 25 hospital and health system websites. Specific website elements that healthcare managers can inspect visually are described for each dimension in the discussion section. Generally, hospital and health system websites can be more effective from an end users perspective. In particular, hospitals and health systems lagged on the accessibility scale that measures the education level required to understand the language used on a site. The scale also assesses the extent to which web pages are designed for ease of movement from page to page using embedded links. Given that healthcare consumers come from every demographic and stratum of society, it is important that user‐friendliness be optimized for a broadly defined audience. Hospital and health system websites can also be improved on the technology scale, as many sites do not return clear descriptions of links to search engines such as Google and Bing that use webcrawlers to collect information.

Assessing Differences Between Physicians' Realized and Anticipated Gains from Electronic Health Record Adoption

Return on investment (ROI) concerns related to Electronic Health Records (EHRs) are a major barrier to the technology’s adoption. Physicians generally rely upon early adopters to vet new technologies prior to putting them into widespread use. Therefore, early adopters’ experiences with EHRs play a major role in determining future adoption patterns. The paper’s purposes are: (1) to map the EHR value streams that define the ROI calculation; and (2) to compare Current Users’ and Intended Adopters’ perceived value streams to identify similarities, differences and governing constructs. Primary data was collected by the Texas Medical Association, which surveyed 1,772 physicians on their use and perceptions of practice gains from EHR adoption. Using Bayesian Belief Network Modeling, value streams are constructed for both current EHR users and Intended Adopters. Current Users and Intended Adopters differ significantly in their perceptions of the EHR value stream. Intended Adopters’ value stream displays complex relationships among the potential gains compared to the simpler, linear relationship that Current Users identified. The Current Users identify “Reduced Medical Records Costs” as the gain that governs the value stream while Intended Adopters believe “Reduced Charge Capture Costs” define the value stream’s starting point. Current Users’ versus Intended Adopters’ assessments of EHR benefits differ significantly and qualitatively from one another.

Personal Health Record Use in the United States: Forecasting Future Adoption Levels

Background Personal health records (PHRs) offer a tremendous opportunity to generate consumer support in pursing the triple aim of reducing costs, increasing access, and improving care quality. Moreover, surveys in the United States indicate that consumers want Web-based access to their medical records. However, concerns that consumers’ low health information literacy levels and physicians’ resistance to sharing notes will limit PHRs’ utility to a relatively small portion of the population have reduced both the product innovation and policy imperatives. Objective The purpose of our study was 3-fold: first, to report on US consumers’ current level of PHR activity; second, to describe the roles of imitation and innovation influence factors in determining PHR adoption rates; and third, to forecast future PHR diffusion uptake among US consumers under 3 scenarios. Methods We used secondary data from the Health Information National Trends Survey (HINTS) of US citizens for the survey years 2008, 2011, and 2013. Applying technology diffusion theory and Bass modeling, we evaluated 3 future PHR adoption scenarios by varying the introduction dates. Results All models displayed the characteristic diffusion S-curve indicating that the PHR technology is likely to achieve significant market penetration ahead of meaningful use goals. The best-performing model indicates that PHR adoption will exceed 75% by 2020. Therefore, the meaningful use program targets for PHR adoption are below the rates likely to occur without an intervention. Conclusions The promise of improved care quality and cost savings through better consumer engagement prompted the US Institute of Medicine to call for universal PHR adoption in 1999. The PHR products available as of 2014 are likely to meet and exceed meaningful use stage 3 targets before 2020 without any incentive. Therefore, more ambitious uptake and functionality availability should be incorporated into future goals.

Transdisciplinarity Among Tobacco Harm-Reduction Researchers : A Network Analytic Approach

Progress in tobacco control and other areas of health research is thought to be heavily influenced by the extent to which researchers are able to work with each other not only within, but also across disciplines. This study provides an examination of the extent to which researchers in the area of tobacco harm reduction work together. Specifically, data were collected in 2005 from a national group of 67 top tobacco-control researchers from eight broadly defined disciplines representing 17 areas of expertise. Network analysis was utilized to examine the extent to which these researchers were engaged in research that was interdisciplinary or transdisciplinary, based on the outcome or product attained. Findings revealed that interdisciplinary network ties were much denser than transdisciplinary ties, but researchers in some disciplines were more likely to work across disciplines than others, especially when synergistic outcomes resulted. The study demonstrates for the first time how tobacco-control researchers work together, providing direction for policy officials seeking to encourage greater transdisciplinarity. The study also demonstrates the value of network-analysis methods for understanding research relationships in one important area of health care.

Trends in E-Cigarette Awareness and Perceived Harmfulness in the U.S.

INTRODUCTION Electronic cigarettes (e-cigarettes) are gaining in popularity as an alternative to regular cigarettes, as they are viewed as potentially less harmful. However, it remains unclear how awareness about e-cigarettes is permeating through the general U.S. POPULATION This study seeks to extend previous research and examine trends in e-cigarette awareness and perceived harmfulness, and their association with smoking-cessation efforts. METHODS Data from three cycles (2012, 2013, and 2014) of the Health Information National Trends Survey were combined into a single data set. Controlling for survey year, multivariate logit models were used to determine the association between demographic characteristics and e-cigarette awareness, perceived harmfulness, quit attempts, and quit intentions. Data were analyzed in 2015. RESULTS Awareness of e-cigarettes increased from 77.1% in 2012 to 94.3% in 2014. Controlling for demographic characteristics, e-cigarette awareness significantly increased in both 2013 and 2014, relative to 2012. Perception that e-cigarettes were less harmful than regular cigarettes declined from 50.7% in 2012 to 43.1% in 2014. Among smokers, no relationship was observed between e-cigarette awareness and past-year quit attempts or quit intentions, but those that viewed e-cigarettes as less harmful were less likely to have a past-year quit attempt. CONCLUSIONS These analyses reveal a continued increase in overall public awareness of e-cigarettes and shifting harm perceptions relative to regular cigarettes. New regulatory oversight by the U.S. Food and Drug Administration may have major effects on both dimensions, which are worth continued monitoring.

Evaluating the Science of Discovery in Complex Health Systems.

Complex health problems such as chronic disease or pandemics require knowledge that transcends disciplinary boundaries to generate solutions. Such transdisciplinary discovery requires researchers to work and collaborate across boundaries, combining elements of basic and applied science. At the same time, calls for more interdisciplinary health science acknowledge that there are few metrics to evaluate the products associated with these new ways of working. The Research on Academic Research (RoAR) initiative was established to evaluate the process of discovery and impact of collaboration that emerged through the Life Sciences Institute (LSI) at the University of British Columbia, a state-of-the-art facility designed to support researchers—self-organized around specific health problems rather than disciplines. A logic model depicting the factors influencing such collaboration is presented along with a multimethod evaluation plan to assist understanding of the discovery process in this new environment and develop new metrics for assessing collaborative impact.

Hospital Website Rankings in the United States: Expanding Benchmarks and Standards for Effective Consumer Engagement

Background Passage of the Patient Protection and Affordable Care Act (ACA) increased the roles hospitals and health systems play in care delivery and led to a wave of consolidation of medical groups and hospitals. As such, the traditional patient interaction with an independent medical provider is becoming far less common, replaced by frequent interactions with integrated medical groups and health systems. It is thus increasingly important for these organizations to have an effective social media presence. Moreover, in the age of the informed consumer, patients desire a readily accessible, electronic interface to initiate contact, making a well-designed website and social media strategy critical features of the modern health care organization. Objective The purpose of this study was to assess the Web presence of hospitals and their health systems on five dimensions: accessibility, content, marketing, technology, and usability. In addition, an overall ranking was calculated to identify the top 100 hospital and health system websites. Methods A total of 2407 unique Web domains covering 2785 hospital facilities or their parent organizations were identified and matched against the 2009 American Hospital Association (AHA) Annual Survey. This is a four-fold improvement in prior research and represents what the authors believe to be a census assessment of the online presence of US hospitals and their health systems. Each of the five dimensions was investigated with an automated content analysis using a suite of tools. Scores on the dimensions are reported on a range from 0 to 10, with a higher score on any given dimension representing better comparative performance. Rankings on each dimension and an average ranking are provided for the top 100 hospitals. Results The mean score on the usability dimension, meant to rate overall website quality, was 5.16 (SD 1.43), with the highest score of 8 shared by only 5 hospitals. Mean scores on other dimensions were between 4.43 (SD 2.19) and 6.49 (SD 0.96). Based on these scores, rank order calculations for the top 100 websites are presented. Additionally, a link to raw data, including AHA ID, is provided to enable researchers and practitioners the ability to further explore relationships to other dynamics in health care. Conclusions This census assessment of US hospitals and their health systems provides a clear indication of the state of the sector. While stakeholder engagement is core to most discussions of the role that hospitals must play in relation to communities, management of an online presence has not been recognized as a core competency fundamental to care delivery. Yet, social media management and network engagement are skills that exist at the confluence of marketing and technical prowess. This paper presents performance guidelines evaluated against best-demonstrated practice or independent standards to facilitate improvement of the sector’s use of websites and social media.

Hospital Characteristics Associated With Achievement of Meaningful Use

EXECUTIVE SUMMARY The objective of this study was to identify factors associated with hospitals that achieved the Medicare meaningful use incentive thresholds for payment under the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009. We employed a cross‐sectional design using data from the 2011 American Hospital Association Annual Survey, including the Information Technology Supplement; the Centers for Medicare & Medicaid Services report of hospitals receiving meaningful use payments; and the Health Resources and Services Administrations Area Resource File. We used a lagged value from 2010 to determine electronic health record (EHR) adoption. Our methods were a descriptive analysis and logistic regression to examine how various hospital characteristics are associated with the achievement of Medicare meaningful use incentives. Overall, 1,769 (38%) of 4,683 potentially eligible hospitals achieved meaningful use incentive thresholds by the end of 2012. Characteristics associated with organizations that received incentive payments were having an EHR in place in 2010, having a larger bed size, having a single health information technology vendor, obtaining Joint Commission accreditation, operating under for‐profit status, having Medicare share of inpatient days in the middle two quartiles, being eligible for Medicaid incentives, and being located in the Middle Atlantic or South Atlantic census region. Characteristics associated with not receiving incentive payments were being a member of a hospital system and being located in the Mountain or Pacific census region. Thus far, little evidence suggests that the HITECH incentive program has enticed hospitals without an EHR system to adopt meaningful use criteria. Policy makers should consider modifying the incentive program to accelerate the adoption of and meaningful use in hospitals without EHRs.

Evidence-based management of ambulatory electronic health record system implementation: An assessment of conceptual support and qualitative evidence

OBJECTIVES While electronic health record (EHR) systems have potential to drive improvements in healthcare, a majority of EHR implementations fall short of expectations. Shortcomings in implementations are often due to organizational issues around the implementation process rather than technological problems. Evidence from both the information technology and healthcare management literature can be applied to improve the likelihood of implementation success, but the translation of this evidence into practice has not been widespread. Our objective was to comprehensively study and synthesize best practices for managing ambulatory EHR system implementation in healthcare organizations, highlighting applicable management theories and successful strategies. METHODS We held 45 interviews with key informants in six U.S. healthcare organizations purposively selected based on reported success with ambulatory EHR implementation. We also conducted six focus groups comprised of 37 physicians. Interview and focus group transcripts were analyzed using both deductive and inductive methods to answer research questions and explore emergent themes. RESULTS We suggest that successful management of ambulatory EHR implementation can be guided by the Plan-Do-Study-Act (PDSA) quality improvement (QI) model. While participants did not acknowledge nor emphasize use of this model, we found evidence that successful implementation practices could be framed using the PDSA model. Additionally, successful sites had three strategies in common: 1) use of evidence from published health information technology (HIT) literature emphasizing implementation facilitators; 2) focusing on workflow; and 3) incorporating critical management factors that facilitate implementation. CONCLUSIONS Organizations seeking to improve ambulatory EHR implementation processes can use frameworks such as the PDSA QI model to guide efforts and provide a means to formally accommodate new evidence over time. Implementing formal management strategies and incorporating new evidence through the PDSA model is a key element of evidence-based management and a crucial way for organizations to position themselves to proactively address implementation and use challenges before they are exacerbated.