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Learnings from Implementation Strategies to Improve Lipid Management
Nick S R Lan1,2,3, Ruofei Trophy Chen4, Girish Dwivedi5,6,7
1Department of Cardiology, Fiona Stanley Hospital, Perth, WA, Australia. nick.lan@uwa.edu.au.
Insights
Optimizing lipid management requires multifaceted strategies targeting clinicians and patients. Implementation science can guide future research on improving cardiovascular risk reduction through better low-density lipoprotein (LDL)-cholesterol control.
Area of Science:
- Cardiovascular Medicine
- Implementation Science
- Health Services Research
Background:
- Lowering low-density lipoprotein (LDL)-cholesterol is crucial for reducing cardiovascular risk.
- Current guidelines recommend LDL-cholesterol goals, yet many high-risk patients do not achieve them or receive adequate therapy.
- Real-world studies indicate a gap in achieving optimal lipid management and therapy intensity.
Purpose of the Study:
- To review recent implementation strategies for optimizing lipid management in clinical practice.
- To discuss approaches for improving patient attainment of LDL-cholesterol goals and therapy adherence.
Main Methods:
- Review of contemporary real-world studies on lipid management implementation.
- Analysis of clinician-level interventions, including team-based care and decision support.
- Evaluation of patient-focused strategies for adherence and system-level approaches like EHRs and telehealth.
Main Results:
- Multidisciplinary care, pharmacist/nurse-led interventions, and educational initiatives show promise at the clinician level.
- Patient education, shared decision-making, and behavioral support improve adherence.
- Electronic health records and telehealth models offer cost-effective ways to identify patients and improve access to care.
Conclusions:
- Multifaceted strategies addressing clinician, patient, and system factors are effective for improving lipid management.
- Future research should incorporate implementation science frameworks to assess long-term outcomes, sustainability, and scalability.
- Understanding barriers and facilitators is key for broader application of successful strategies.
Purpose Of Review:
Lowering low-density lipoprotein (LDL)-cholesterol reduces cardiovascular risk. International lipid management guidelines recommend LDL-cholesterol goals or thresholds for initiating lipid-lowering therapy. However, contemporary real-world studies have shown that many high- and very high-risk patients are not attaining LDL-cholesterol goals and are not receiving intensive lipid-lowering therapies. In this review, recent examples of implementation strategies for optimising lipid management are discussed.
Recent Findings:
Implementation studies are heterogenous in their strategies and design. At the clinician level, multidisciplinary team-based care (including multidisciplinary lipid clinics), pharmacist- or nurse-led interventions, decision-support algorithms or protocols, and educational initiatives have shown potential to improve lipid management. Various strategies to improve patient adherence to lipid-lowering therapies have demonstrated at least short-term efficacy, including education, shared decision-making, behavioural support and nudges. Electronic health records can be leveraged at low cost to identify patients requiring initiation or intensification of lipid-lowering therapies, but the optimal method of integrating automated alerts or nudges to influence decision-making requires further research. Moreover, telehealth and remote care delivery models can improve access to healthcare and facilitate lipid-lowering. Multifaceted strategies with a systematic approach to targeting clinician, patient and system related factors can be successful in improving lipid management. Future implementation research should evaluate longer-term outcomes and follow implementation science theories, models and/or frameworks at all stages. By doing so, ongoing implementation studies will help researchers better understand the impact, sustainability and scalability of strategies, and where barriers and facilitators to lipid management may exist in other contexts.
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