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Bangash H, Saadatagah S, Naderian M, Hamed ME, Alhalabi L, Sherafati A, Sutton J, Elsekaily O, Mir A, Gundelach JH, Gibbons D, Johnsen P, Wood-Wentz CM, Smith CY, Caraballo PJ, Bailey KR, Kullo IJ. Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels. NPJ Digit Med 2024; 7:73. [PMID: 38499608 PMCID: PMC10948900 DOI: 10.1038/s41746-024-01069-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/29/2024] [Indexed: 03/20/2024] Open
Abstract
Severe hypercholesterolemia/possible familial hypercholesterolemia (FH) is relatively common but underdiagnosed and undertreated. We investigated whether implementing clinical decision support (CDS) was associated with lower low-density lipoprotein cholesterol (LDL-C) in patients with severe hypercholesterolemia/possible FH (LDL-C ≥ 190 mg/dL). As part of a pre-post implementation study, a CDS alert was deployed in the electronic health record (EHR) in a large health system comprising 3 main sites, 16 hospitals and 53 clinics. Data were collected for 3 months before ('silent mode') and after ('active mode') its implementation. Clinicians were only able to view the alert in the EHR during active mode. We matched individuals 1:1 in both modes, based on age, sex, and baseline lipid lowering therapy (LLT). The primary outcome was difference in LDL-C between the two groups and the secondary outcome was initiation/intensification of LLT after alert trigger. We identified 800 matched patients in each mode (mean ± SD age 56.1 ± 11.8 y vs. 55.9 ± 11.8 y; 36.0% male in both groups; mean ± SD initial LDL-C 211.3 ± 27.4 mg/dL vs. 209.8 ± 23.9 mg/dL; 11.2% on LLT at baseline in each group). LDL-C levels were 6.6 mg/dL lower (95% CI, -10.7 to -2.5; P = 0.002) in active vs. silent mode. The odds of high-intensity statin use (OR, 1.78; 95% CI, 1.41-2.23; P < 0.001) and LLT initiation/intensification (OR, 1.30, 95% CI, 1.06-1.58, P = 0.01) were higher in active vs. silent mode. Implementation of a CDS was associated with lowering of LDL-C levels in patients with severe hypercholesterolemia/possible FH, likely due to higher rates of clinician led LLT initiation/intensification.
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Affiliation(s)
- Hana Bangash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Marwan E Hamed
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lubna Alhalabi
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Alborz Sherafati
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Joseph Sutton
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Omar Elsekaily
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ali Mir
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Daniel Gibbons
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Paul Johnsen
- Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | | | - Carin Y Smith
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Pedro J Caraballo
- Department of General Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kent R Bailey
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
- Gonda Vascular Center, Mayo Clinic, Rochester, MN, USA.
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Bangash H, Elsekaily O, Saadatagah S, Sutton J, Johnsen P, Gundelach JH, Kamzabek A, Freimuth R, Caraballo PJ, Kullo IJ. Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia. J Pers Med 2023; 13:929. [PMID: 37373918 DOI: 10.3390/jpm13060929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/24/2023] [Accepted: 05/28/2023] [Indexed: 06/29/2023] Open
Abstract
Familial Hypercholesterolemia (FH) is underdiagnosed in the United States. Clinical decision support (CDS) could increase FH detection once implemented in clinical workflows. We deployed CDS for FH at an academic medical center and sought clinician insights using an implementation survey. In November 2020, the FH CDS was deployed in the electronic health record at all Mayo Clinic sites in two formats: a best practice advisory (BPA) and an in-basket alert. Over three months, 104 clinicians participated in the survey (response rate 11.1%). Most clinicians (81%) agreed that CDS implementation was a good option for identifying FH patients; 78% recognized the importance of implementing the tool in practice, and 72% agreed it would improve early diagnosis of FH. In comparing the two alert formats, clinicians found the in-basket alert more acceptable (p = 0.036) and more feasible (p = 0.042) than the BPA. Overall, clinicians favored implementing the FH CDS in clinical practice and provided feedback that led to iterative refinement of the tool. Such a tool can potentially increase FH detection and optimize patient management.
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Affiliation(s)
- Hana Bangash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Omar Elsekaily
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Joseph Sutton
- Department of Information Technology, Mayo Clinic, Rochester, MN 55905, USA
| | - Paul Johnsen
- Department of Information Technology, Mayo Clinic, Rochester, MN 55905, USA
| | - Justin H Gundelach
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Arailym Kamzabek
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Robert Freimuth
- Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN 55905, USA
| | - Pedro J Caraballo
- Department of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA
- Gonda Vascular Center, Mayo Clinic, Rochester, MN 55905, USA
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Bangash H, Makkawy A, Gundelach JH, Miller AA, Jacobson KA, Kullo IJ. Web-Based Tool (FH Family Share) to Increase Uptake of Cascade Testing for Familial Hypercholesterolemia: Development and Evaluation. JMIR Hum Factors 2022; 9:e32568. [PMID: 35166678 PMCID: PMC8889478 DOI: 10.2196/32568] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/29/2021] [Accepted: 11/07/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Familial hypercholesterolemia, a prevalent genetic disorder, remains significantly underdiagnosed in the United States. Cascade testing, wherein individuals diagnosed with familial hypercholesterolemia- probands-contact their family members to inform them of their risk for familial hypercholesterolemia, has low uptake in the United States. Digital tools are needed to facilitate communication between familial hypercholesterolemia probands and their family members and to promote sharing of familial hypercholesterolemia-related risk information. OBJECTIVE We aimed to create and evaluate a web-based tool designed to enhance familial communication and promote cascade testing for familial hypercholesterolemia. METHODS A hybrid type 1 implementation science framework and a user-centered design process were used to develop an interactive web-based tool-FH Family Share-that enables familial hypercholesterolemia probands to communicate information about their familial hypercholesterolemia diagnosis with at-risk relatives. Probands can also use the tool to draw a family pedigree and learn more about familial hypercholesterolemia through education modules and curated knowledge resources. Usability guidelines and standards were taken into account during the design and development of the tool. The initial prototype underwent a cognitive walkthrough, which was followed by usability testing with key stakeholders including genetic counselors and patients with familial hypercholesterolemia. Participants navigated the prototype using the think-aloud technique, and their feedback was used to refine features of the tool. RESULTS Key themes that emerged from the cognitive walkthrough were design, format, navigation, terminology, instructions, and learnability. Expert feedback from the cognitive walkthrough resulted in a rebuild of the web-based tool to align it with institutional standards. Usability testing with genetic counselors and patients with familial hypercholesterolemia provided insights on user experience, satisfaction and interface design and highlighted specific modifications that were made to refine the features of FH Family Share. Genetic counselors and patients with familial hypercholesterolemia suggested inclusion of the following features in the web-based tool: (1) a letter-to-family-member email template, (2) education modules, and (3) knowledge resources. Surveys revealed that 6 of 9 (67%) genetic counselors found information within FH Family Share very easy to find, and 5 of 9 (56%) genetic counselors found information very easy to understand; 5 of 9 (56%) patients found information very easy to find within the website, and 7 of 9 (78%) patients found information very easy to understand. All genetic counselors and patients indicated that FH Family Share was a resource worth returning to. CONCLUSIONS FH Family Share facilitates communication between probands and their relatives. Once informed, at-risk family members have the option to seek testing and treatment for familial hypercholesterolemia.
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Affiliation(s)
| | - Ahmed Makkawy
- Saharafox Creative Agency, Rochester, MN, United States
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