Implementing Evidence-Based Screening and Counseling for Unhealthy Alcohol Use with Epic-Based Electronic Health Record Tools

Use of Epic Electronic Health Record System for Health Care Research: Scoping Review

BACKGROUND

Electronic health records (EHRs) enable health data exchange across interconnected systems from varied settings. Epic is among the 5 leading EHR providers and is the most adopted EHR system across the globe. Despite its global reach, there is a gap in the literature detailing how EHR systems such as Epic have been used for health care research.

OBJECTIVE

The objective of this scoping review is to synthesize the available literature on use cases of the Epic EHR for research in various areas of clinical and health sciences.

METHODS

We used established scoping review methods and searched 9 major information repositories, including databases and gray literature sources. To categorize the research data, we developed detailed criteria for 5 major research domains to present the results.

RESULTS

We present a comprehensive picture of the method types in 5 research domains. A total of 4669 articles were screened by 2 independent reviewers at each stage, while 206 articles were abstracted. Most studies were from the United States, with a sharp increase in volume from the year 2015 onwards. Most articles focused on clinical care, health services research and clinical decision support. Among research designs, most studies used longitudinal designs, followed by interventional studies implemented at single sites in adult populations. Important facilitators and barriers to the use of Epic and EHRs in general were identified. Important lessons to the use of Epic and other EHRs for research purposes were also synthesized.

CONCLUSIONS

The Epic EHR provides a wide variety of functions that are helpful toward research in several domains, including clinical and population health, quality improvement, and the development of clinical decision support tools. As Epic is reported to be the most globally adopted EHR, researchers can take advantage of its various system features, including pooled data, integration of modules and developing decision support tools. Such research opportunities afforded by the system can contribute to improving quality of care, building health system efficiencies, and conducting population-level studies. Although this review is limited to the Epic EHR system, the larger lessons are generalizable to other EHRs.

Evidence-Based Quality Improvement: a Scoping Review of the Literature

BACKGROUND

Quality improvement (QI) initiatives often reflect approaches based on anecdotal evidence, but it is unclear how initiatives can best incorporate scientific literature and methods into the QI process. Review of studies of QI initiatives that aim to systematically incorporate evidence review (termed evidence-based quality improvement (EBQI)) may provide a basis for further methodological development.

METHODS

In this scoping review (registration: https://osf.io/hr5bj ) of EBQI, we searched the databases PubMed, CINAHL, and SCOPUS. The review addressed three central questions: How is EBQI defined? How is evidence used to inform evidence-informed QI initiatives? What is the effectiveness of EBQI?

RESULTS

We identified 211 publications meeting inclusion criteria. In total, 170 publications explicitly used the term "EBQI." Published definitions emphasized relying on evidence throughout the QI process. We reviewed a subset of 67 evaluations of QI initiatives in primary care, including both studies that used the term "EBQI" with those that described an evidence-based initiative without using EBQI terminology. The most frequently reported EBQI components included use of evidence to identify previously tested effective QI interventions; engaging stakeholders; iterative intervention development; partnering with frontline clinicians; and data-driven evaluation of the QI intervention. Effectiveness estimates were positive but varied in size in ten studies that provided data on patient health outcomes.

CONCLUSIONS

EBQI is a promising strategy for integrating relevant prior scientific findings and methods systematically in the QI process, from the initial developmental phase of the IQ initiative through to its evaluation. Future QI researchers and practitioners can use these findings as the basis for further development of QI initiatives.

Alcoholism and American healthcare: The case for a patient safety approach

Alcoholism, more professionally termed alcohol use disorder (AUD), is a widespread and costly behavioral health condition. The aims of this paper are draw attention to systemic gaps in care for patients with AUD and advocate for patient safety leaders to partner with both the mainstream medical and substance abuse treatment communities to reduce harm in this patient population. The authors performed a narrative review of the literature on the current state of AUD treatment and patient safety, finding extensive evidence that patients with AUD usually go undiagnosed, unreferred and untreated. When they do receive AUD treatment, little evidence was found to indicate that a patient safety approach is incorporated into their care. Behavioral medicine is virgin territory for the patient safety movement. Medical care and behavioral medicine in the United States currently constitute two separate and unequal systems generally lacking in pathways of communication or care coordination for AUD patients. Significant barriers include institutional culture, individual and systemic bias against those with AUD, and health care infrastructure, especially the separation of medical and behavioral treatment. It is the authors’ conclusion that care of patients with AUD is unsafe. We advocate for the patient safety approach common in American hospitals to be extended to AUD treatment. Experienced patient safety leaders are in the strongest position to initiate collaboration between the mainstream medical and substance abuse treatment communities to reduce harm for this patient population.

Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review

Background

Disease prevention is a central aspect of primary care practice and is comprised of primary (eg, vaccinations), secondary (eg, screenings), tertiary (eg, chronic condition monitoring), and quaternary (eg, prevention of overmedicalization) levels. Despite rapid digital transformation of primary care practices, digital health interventions (DHIs) in preventive care have yet to be systematically evaluated.

Objective

This review aimed to identify and describe the scope and use of current DHIs for preventive care in primary care settings.

Methods

A scoping review to identify literature published from 2014 to 2020 was conducted across multiple databases using keywords and Medical Subject Headings terms covering primary care professionals, prevention and care management, and digital health. A subgroup analysis identified relevant studies conducted in US primary care settings, excluding DHIs that use the electronic health record (EHR) as a retrospective data capture tool. Technology descriptions, outcomes (eg, health care performance and implementation science), and study quality as per Oxford levels of evidence were abstracted.

Results

The search yielded 5274 citations, of which 1060 full-text articles were identified. Following a subgroup analysis, 241 articles met the inclusion criteria. Studies primarily examined DHIs among health information technologies, including EHRs (166/241, 68.9%), clinical decision support (88/241, 36.5%), telehealth (88/241, 36.5%), and multiple technologies (154/241, 63.9%). DHIs were predominantly used for tertiary prevention (131/241, 54.4%). Of the core primary care functions, comprehensiveness was addressed most frequently (213/241, 88.4%). DHI users were providers (205/241, 85.1%), patients (111/241, 46.1%), or multiple types (89/241, 36.9%). Reported outcomes were primarily clinical (179/241, 70.1%), and statistically significant improvements were common (192/241, 79.7%). Results were summarized across the following 5 topics for the most novel/distinct DHIs: population-centered, patient-centered, care access expansion, panel-centered (dashboarding), and application-driven DHIs. The quality of the included studies was moderate to low.

Conclusions

Preventive DHIs in primary care settings demonstrated meaningful improvements in both clinical and nonclinical outcomes, and across user types; however, adoption and implementation in the US were limited primarily to EHR platforms, and users were mainly clinicians receiving alerts regarding care management for their patients. Evaluations of negative results, effects on health disparities, and many other gaps remain to be explored.

AHRQ EPC Series on Improving Translation of Evidence: Use of a Clinical Pathway for C. Difficile Treatment to Facilitate the Translation of Research Findings into Practice

BACKGROUND

In 2018 the Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) Program issued a call for strategies to disseminate AHRQ EPC systematic reviews. In this pilot, findings from the 2016 AHRQ EPC report on Clostridioides difficile infection were translated into a treatment pathway and disseminated via a cloud-based platform and electronic health record (EHR).

METHODS

An existing 10-step framework was used for developing and disseminating evidence-based clinical pathways. The development of the EHR intervention was informed by the Five Rights model for clinical decision support and human-computer interaction design heuristics. The researchers used observations and time measurements to describe the impact of the EPC report on pathway development and examined provider adoption using counts of pathway views.

RESULTS

Two main themes emerged: (1) discrepancies between the EPC report and existing guidelines prompted critical discussions about available treatments, and (2) lack of guideline and pathway syntheses in the EPC report necessitated a rapid literature review. Pathway development required 340 hours: 205 for the rapid literature review, 63 for pathway development and EHR intervention design, and 5 for technical implementation of the intervention. Pathways were viewed 1,069 times through the cloud-based platform and 47 times through a hyperlink embedded in key EHR ordering screens.

CONCLUSION

Pathways can be an approach for disseminating AHRQ EPC report findings within health care systems; however, reports should include guideline and pathway syntheses to meet their full potential. Embedding hyperlinks to pathway content within the EHR may be a viable and low-effort solution for promoting awareness of evidence-based resources.