Summary points
What was already known on the topic
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The number of hospitals and providers exchanging healthcare data has increased significantly since 2009.
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Prior systematic reviews of HIE focused on
Patients in the US often receive care from multiple providers who practice in unaffiliated organizations. The result is that the patient’s clinical record can be fragmented and incomplete in any one given location. Health information exchange (HIE) is the process of electronically exchanging clinical information across organizational boundaries and seeks to remedy this fragmentation [1]. This exchange occurs among health care providers, across the boundaries of health care institutions, health data repositories, states and countries, typically not within a single organization or among affiliated providers, while protecting the integrity, privacy, and security of the information. Some projections have estimated that HIE effectiveness may manifest in billions of dollars of savings per year all the while improving quality of care [2]. Outside of the US, HIE is also important in other countries with advanced health care systems [3], [4].
The US government as well as other national governments are making substantial investments to further the growth of HIE. Many local governments and individual health organizations are also following suit. As part of the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, substantial funding for the creation of HIE was made available and there has been marked growth in HIEs in the US [5].
Since 2009, the number of hospitals and providers exchanging data has sharply increased but perceived barriers to use has not been well described [6]. While organizational involvement and capacity for HIE are increasing, the data about actual use of accessible HIE have been limited and suggest that HIE is still not integrated into usual care [6]. Health professionals are the primary users of HIE systems but little is known about their perceptions of such systems and the barriers they face [6]. A system that the users find slow, confusing and awkward is likely to see little adoption by front-line providers. This article expands on the work conducted as part of a larger systematic review conducted under the auspices of the Agency for Healthcare Research and Quality (AHRQ) and registered as PROSPERO Registry No. CRD42014013285 [6]. The purpose of this article is to describe the current evidence on perceived barriers/facilitators to HIE use. Prior reviews focused on barriers to HIE adoption and implementation, primarily in the US [7], [8], [9].
HIE was defined as the electronic sharing of clinical information among users to facilitate care coordination and transitions across settings. This excludes exchange of predominantly paper-based information [6]. A standard protocol for the review was developed that incorporated input from key informants and a technical expert panel [10]. Detailed methods and search strategies for the larger review can be found in the technical report [6]. We used the bibliographies of prior reviews [7], [8], [9]
We identified nine multiple site case studies [11], [12], [13], [14], [15], [16], [17], [18], [19], 11 cross-sectional studies [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], and two before-after studies [31], [32]. Fig. 1 depicts the search selection process for the full report [6] and the lower levels of the figure focus on the subset of studies that addressed facilitators and barriers to use (n = 22). All but five [21], [25], [26], [27], [32] of the studies described
As part of a systematic review we included 19 studies evaluating perceived barriers and facilitators to HIE use. We found three main themes that hindered or facilitated HIE use: completeness of information, organization and workflow, technology and user needs. Incomplete patient data was consistently mentioned in the studies conducted in the US but not mentioned in the few studies conducted outside of the US. Culturally, individualism and privacy is more highly emphasized in the US than in
Barriers and facilitators fell under three broad themes: completeness of information, organization and workflow, technology and user needs. Sites with proxy users (e.g., nurses, registrars) in the workflow reported the highest HIE use. The evidence was inadequate to compare barriers to HIE use by type of function (query-based or pull vs. directed or pushed exchange) or by type of architecture (centralized or not). Understanding optimal functionality of HIE is challenged by the lack of
None.
AHRQ funded the review but had no role in study selection, quality assessment, or synthesis. The investigators are solely responsible for the content.
This project was funded under Contract No. 290-2012-00014-I, Task Order 11, from the Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services. The authors of this report are responsible for its content. Statements in the report should not be construed as endorsement by the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services. SK’s was also supported by the National Library of Medicine of the National Institutes of Health
All authors made contributions to all of the following: (1) the conception and design of the study, or acquisition of data, or analysis and interpretation of data, (2) drafting the article or revising it critically for important intellectual content, (3) final approval of the version that was submitted. Summary points What was already known on the topic The number of hospitals and providers exchanging healthcare data has increased significantly since 2009. Prior systematic reviews of HIE focused on
The authors gratefully acknowledge the following individuals for their contributions to this project: Andrew Hamilton, M.L.S., M.S., for conducting literature searches and Spencer Dandy, B.S., for assistance with preparing this manuscript (all are located at the Oregon Health & Science University); and Jon White, M.D., Task Order Officer (TOO) at the Agency for Healthcare Research and Quality (AHRQ).
Fear of loss of productivity and being inability to provide care results has seen healthcare providers prefer to continue working on legacy systems than adopt smart healthcare strategies that may hinder data transfer and disrupt workflows. Eden et al. (2016) explain that lack of data and terminology standards greatly affects the adoption of smart healthcare strategies. Some providers or clinicians prefer more information whilst others prefer lesser information to avoid having to scroll down several pages to complete a task.