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A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination.

ABSTRACT: BACKGROUND:COVID-19 is a global pandemic that is affecting more than 200 countries worldwide. Efficient diagnosis and treatment are crucial to combat the disease. Computer-interpretable guidelines (CIGs) can aid the broad global adoption of evidence-based diagnosis and treatment knowledge. However, currently, no internationally shareable CIG exists. OBJECTIVE:The aim of this study was to establish a rapid CIG development and dissemination approach and apply it to develop a shareable CIG for COVID-19. METHODS:A 6-step rapid CIG development and dissemination approach was designed and applied. Processes, roles, and deliverable artifacts were specified in this approach to eliminate ambiguities during development of the CIG. The Guideline Definition Language (GDL) was used to capture the clinical rules. A CIG for COVID-19 was developed by translating, interpreting, annotating, extracting, and formalizing the Chinese COVID-19 diagnosis and treatment guideline. A prototype application was implemented to validate the CIG. RESULTS:We used 27 archetypes for the COVID-19 guideline. We developed 18 GDL rules to cover the diagnosis and treatment suggestion algorithms in the narrative guideline. The CIG was further translated to object data model and Drools rules to facilitate its use by people who do not employ the non-openEHR archetype. The prototype application validated the correctness of the CIG with a public data set. Both the GDL rules and Drools rules have been disseminated on GitHub. CONCLUSIONS:Our rapid CIG development and dissemination approach accelerated the pace of COVID-19 CIG development. A validated COVID-19 CIG is now available to the public.

SUBMITTER: Nan S

PROVIDER: S-EPMC7546731 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination.

Nan Shan S Tang Tianhua T Feng Hongshuo H Wang Yijie Y Li Mengyang M Lu Xudong X Duan Huilong H

JMIR medical informatics 20201001 10

<h4>Background</h4>COVID-19 is a global pandemic that is affecting more than 200 countries worldwide. Efficient diagnosis and treatment are crucial to combat the disease. Computer-interpretable guidelines (CIGs) can aid the broad global adoption of evidence-based diagnosis and treatment knowledge. However, currently, no internationally shareable CIG exists.<h4>Objective</h4>The aim of this study was to establish a rapid CIG development and dissemination approach and apply it to develop a shareab ...[more]

PMID: 32931443

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Project description:ProblemThe most effective way to train clinicians to safely don and doff personal protective equipment (PPE) and perform aerosol-generating procedures (AGPs), such as intubations, is unknown when clinician educators are unavailable, as they have been during the COVID-19 pandemic. Proper PPE and airway management techniques are critical to prevent the transmission of respiratory illnesses such as COVID-19.ApproachIn March 2020, the authors implemented a structured train-the-trainers curriculum to teach PPE techniques and a modified airway management algorithm for suspected COVID-19 patients. A single emergency medicine physician trainer taught 17 subsequent emergency medicine and critical care physician trainers the proper PPE and airway management techniques. The initial trainer and 7 of the subsequent trainers then instructed 99 other emergency medicine resident and attending physicians using in situ simulation. Trainers and learners completed retrospective pre-post surveys to assess their comfort teaching the material and performing the techniques, respectively.OutcomesThe surveys demonstrated a significant increase in the trainers' comfort in teaching simulation-based education, from 4.00 to 4.53 on a 5-point Likert scale (P < .005), and in teaching the airway management techniques through simulation, from 2.47 to 4.47 (P < .001). There was no difference in the change in comfort level between those learners who were taught by the initial trainer and those who were taught by the subsequent trainers. These results suggest that the subsequent trainers were as effective in teaching the simulation material as the initial trainer.Next stepsWork is ongoing to investigate clinician- and patient-specific outcomes, including PPE adherence, appropriate AGP performance, complication rate, and learners' skill retention. Future work will focus on implementing similar train-the-trainers strategies for other health professions, specialties, and high-risk or rare procedures.

Project description:BackgroundDespite the growing availability of clinical practice guidelines since the early 1990's, little is known about how guideline development and dissemination may have changed over time in Canada. This study compares Canadian guideline development, dissemination, and evaluation in two six year periods from 1994-1999 and 2000-2005.MethodsSurvey of guideline developers who submitted their clinical practice guidelines to the Canadian Medical Association Infobase (a Canadian guideline repository) between 1994 and 2005. Survey items included information about the developers, aspects of guideline development, and dissemination and evaluation activities.ResultsSurveys were sent to the developers of 2341 guidelines in the CMA Infobase over the 12 year period, 1664 surveys were returned (response rate 71%). Of these, 730 unique guidelines were released from 1994-1999, and 630 were released from 2000-2005. Compared to the earlier period, more recent guidelines were being produced in English only. There has been little change in the type of organizations developing guidelines with most developed by provincial and national organizations. In the recent period, developers were more likely to report using computerized search strategies (94% versus 88%), publishing the search strategy (42% versus 34%), reaching consensus using open discussion (95% versus 78%), and evaluating effectiveness of the dissemination strategies (12% versus 6%) and the impact of the CPGs on health outcomes (24% versus 5%). Recent guidelines were less likely to be based on literature reviews (94% versus 99.6%) and were disseminated using fewer strategies (mean 4.78 versus 4.12).ConclusionGiven that guideline development processes have improved in some areas over the past 12 years yet not in others, ongoing monitoring of guideline quality is required. Guidelines produced more recently in Canada are less likely to be based on a review of the evidence and only about half discuss levels of evidence underlying recommendations. Guideline dissemination and implementation activities have actually decreased. Unfortunately, the potential positive impact on patient health outcomes will not be realized until the recommendations are adopted and acted upon.

Dataset Information

A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination.

Publications

A Computer-Interpretable Guideline for COVID-19: Rapid Development and Dissemination.

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