Dataset Information

An Implementation Science Framework to Develop a Clinical Decision Support Tool for Familial Hypercholesterolemia.

ABSTRACT: Electronic health record (EHR)-based clinical decision support (CDS) can address the low awareness and undertreatment of familial hypercholesterolemia (FH), a disorder associated with a markedly increased risk of coronary heart disease. We aimed to incorporate provider perspectives into the development and implementation of a CDS tool for FH. An implementation science framework and a user-centered design process were used to create a CDS tool for FH. Primary care physicians and specialist physicians participated in qualitative interviews, usability testing and an implementation survey. The CDS was configured in two formats-a best practice alert (BPA) and an in-basket message and subsequently deployed in the EHR in silent mode. The key themes that emerged from the analysis of interview transcripts included understanding and awareness of FH, clinical workflow, physician preferences and value of CDS tools, perspectives on patient needs and values and dissemination and implementation. Recommendations related to usability included preferred CDS format and placement, content, timing and frequency, and level of alert urgency/prioritization. In response to the survey, 84.6% of physicians agreed that the CDS would improve early FH diagnosis and 92.3% agreed that it would help them identify and manage FH patients. Physician feedback led to iterative CDS refinement. In summary, we developed a CDS tool for FH using an implementation science framework and physician feedback. Initial deployment revealed a significant burden of FH and the potential for the CDS tool to have a large impact.

SUBMITTER: Bangash H

PROVIDER: S-EPMC7565418 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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An Implementation Science Framework to Develop a Clinical Decision Support Tool for Familial Hypercholesterolemia.

Bangash Hana H Pencille Laurie L Gundelach Justin H JH Makkawy Ahmed A Sutton Joseph J Makkawy Lenae L Dikilitas Ozan O Kopecky Stephen S Freimuth Robert R Caraballo Pedro J PJ Kullo Iftikhar J IJ

Journal of personalized medicine 20200723 3

Electronic health record (EHR)-based clinical decision support (CDS) can address the low awareness and undertreatment of familial hypercholesterolemia (FH), a disorder associated with a markedly increased risk of coronary heart disease. We aimed to incorporate provider perspectives into the development and implementation of a CDS tool for FH. An implementation science framework and a user-centered design process were used to create a CDS tool for FH. Primary care physicians and specialist physic ...[more]

PMID: 32717811

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Project description:BackgroundIn this paper we describe the use of the Consolidated Framework for Implementation Research (CFIR) to study implementation of a web-based, point-of-care, EHR-linked clinical decision support (CDS) tool designed to identify and provide care recommendations for adults with prediabetes (Pre-D CDS).MethodsAs part of a large NIH-funded clinic-randomized trial, we identified a convenience sample of interview participants from 22 primary care clinics in Minnesota, North Dakota, and Wisconsin that were randomly allocated to receive or not receive a web-based EHR-integrated prediabetes CDS intervention. Participants included 11 clinicians, 6 rooming staff, and 7 nurse or clinic managers recruited by study staff to participate in telephone interviews conducted by an expert in qualitative methods. Interviews were recorded and transcribed, and data analysis was conducted using a constructivist version of grounded theory.ResultsImplementing a prediabetes CDS tool into primary care clinics was useful and well received. The intervention was integrated with clinic workflows, supported primary care clinicians in clearly communicating prediabetes risk and management options with patients, and in identifying actionable care opportunities. The main barriers to CDS use were time and competing priorities. Finally, while the implementation process worked well, opportunities remain in engaging the care team more broadly in CDS use.ConclusionsThe use of CDS tools for engaging patients and providers in care improvement opportunities for prediabetes is a promising and potentially effective strategy in primary care settings. A workflow that incorporates the whole care team in the use of such tools may optimize the implementation of CDS tools like these in primary care settings. Trial registration Name of the registry: Clinicaltrial.gov.Trial registration numberNCT02759055. Date of registration: 05/03/2016. URL of trial registry record: https://clinicaltrials.gov/ct2/show/NCT02759055 Prospectively registered.

Project description:BackgroundPractice facilitation is a method used to address the complexity associated with implementation of innovations into primary care. To provide support, we propose that the i-PARIHS (Integrated Promoting Action on Research Implementation in Health Services) framework could support practice facilitators. The i-PARIHS framework positions facilitation as a core element for successful implementation. Therefore, the aim of this study was to provide support to practice facilitators whilst simultaneously gaining feedback on what facilitators in practice need in regard to support with operationalising the i-PARIHS framework in practice.MethodsThis study involved the delivery of a 1-h workshop on the i-PARIHS framework at the 2018 International Conference on Practice Facilitation. The authors provided an overview of the i-PARIHS framework, how it can be used to support the facilitation of innovations into practice, and finally, attendees worked through facilitation scenarios and applied an i-PARIHS resource. At the end of the workshop, attendees were invited to participant in the research component, by completing a post-workshop survey on the workshop content and the i-PARIHS resource.ResultsParticipants were highly engaged and enthusiastic about the workshop. Participants reported that an introduction to implementation frameworks was valuable and the example of how the i-PARIHS framework had been used in a previous project was helpful. Overall, this study identifies how framework informed facilitation helped participants feel more equipped to conduct systematic facilitation and that the development of i-PARIHS resources would be helpful in their everyday work.ConclusionsThis study demonstrates that the existence of implementation frameworks is not sufficient to provide support to those who facilitate in the real world. The current study introduced practice facilitators to the i-PARIHS framework, and the findings demonstrate the need to develop and refine existing i-PARIHS resources to support facilitation. Specifically, the next steps stemming from this study will be to (i) continue to utilize workshops for sharing and refining tools, (ii) allocate development efforts to tools that assist with planning, (iii) focus on tool provision mechanisms that keep user-friendliness in mind, and (iv) translate the i-PARIHS facilitation checklist from academic language into more practical and user-friendly language.

Project description:BackgroundThe emergency department is a critical juncture in the trajectory of care of patients with serious, life-limiting illness. Implementation of a clinical decision support (CDS) tool automates identification of older adults who may benefit from palliative care instead of relying upon providers to identify such patients, thus improving quality of care by assisting providers with adhering to guidelines. The Primary Palliative Care for Emergency Medicine (PRIM-ER) study aims to optimize the use of the electronic health record by creating a CDS tool to identify high risk patients most likely to benefit from primary palliative care and provide point-of-care clinical recommendations.MethodsA clinical decision support tool entitled Emergency Department Supportive Care Clinical Decision Support (Support-ED) was developed as part of an institutionally-sponsored value based medicine initiative at the Ronald O. Perelman Department of Emergency Medicine at NYU Langone Health. A multidisciplinary approach was used to develop Support-ED including: a scoping review of ED palliative care screening tools; launch of a workgroup to identify patient screening criteria and appropriate referral services; initial design and usability testing via the standard System Usability Scale questionnaire, education of the ED workforce on the Support-ED background, purpose and use, and; creation of a dashboard for monitoring and feedback.ResultsThe scoping review identified the Palliative Care and Rapid Emergency Screening (P-CaRES) survey as a validated instrument in which to adapt and apply for the creation of the CDS tool. The multidisciplinary workshops identified two primary objectives of the CDS: to identify patients with indicators of serious life limiting illness, and to assist with referrals to services such as palliative care or social work. Additionally, the iterative design process yielded three specific patient scenarios that trigger a clinical alert to fire, including: 1) when an advance care planning document was present, 2) when a patient had a previous disposition to hospice, and 3) when historical and/or current clinical data points identify a serious life-limiting illness without an advance care planning document present. Monitoring and feedback indicated a need for several modifications to improve CDS functionality.ConclusionsCDS can be an effective tool in the implementation of primary palliative care quality improvement best practices. Health systems should thoughtfully consider tailoring their CDSs in order to adapt to their unique workflows and environments. The findings of this research can assist health systems in effectively integrating a primary palliative care CDS system seamlessly into their processes of care.Trial registrationClinicalTrials.gov Identifier: NCT03424109. Registered 6 February 2018, Grant Number: AT009844-01.

Dataset Information

An Implementation Science Framework to Develop a Clinical Decision Support Tool for Familial Hypercholesterolemia.

Publications

An Implementation Science Framework to Develop a Clinical Decision Support Tool for Familial Hypercholesterolemia.

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