Maximizing LDL management: The power of EHR alerts and patient follow-up

IF 3.6 3区医学 Q2 PHARMACOLOGY & PHARMACY

Journal of clinical lipidology Pub Date : 2025-05-01 DOI:10.1016/j.jacl.2025.04.023

Mazhar Afaq MD, Katie Coons MBA, Tara Kelly MSN, Zaydan Ahmed, Mohammed Abualenain MD

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引用次数: 0

Abstract

Background/Synopsis

Previous studies have shown that automated electronic health record (EHR) alerts alone do not significantly improve lipid profiles in patients with hyperlipidemia. Our study suggests additional patient engagement strategies may be necessary to optimize LDL management. Personalized follow-up interventions, such as phone calls, may enhance adherence to treatment plans and improve lipid control outcomes.

Objective/Purpose

This study evaluates the effectiveness of combining follow-up phone calls with automated EHR alerts containing guideline-based lipid management recommendations to improve LDL outcomes in an outpatient setting.

Methods

A total of 250 patients were analyzed between October 2022 and October 2023. Baseline and post-intervention LDL levels, along with demographic variables (age, sex, race, and ethnicity), were collected. Statistical analyses included correlation tests, t-tests, and regression modeling to assess the impact of baseline LDL, age, and sex on post-intervention LDL changes.

Results

A moderate negative correlation was observed between baseline LDL levels and LDL reduction (r = -0.517), indicating that patients with higher initial LDL experienced greater reductions. The study population was 56% male, with a mean age of 68 years (SD 11). Neither age (r = 0.007) nor sex (p = 0.362) significantly influenced LDL changes. Regression analysis showed that baseline LDL accounted for 26.9% of the variation in LDL reduction (p < 0.001), suggesting that patients with higher initial LDL benefited the most from the intervention.

Conclusions

The integration of follow-up phone calls with automated EHR alerts may enhance LDL management, particularly in patients with elevated baseline LDL levels. Age and sex had minimal impact on LDL reduction. These findings highlight the potential benefits of combining digital health interventions with direct patient engagement to optimize lipid control. Future studies should explore the long-term impact and cost-effectiveness of this combined approach.

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最大化LDL管理：EHR警报和患者随访的力量

背景/简介先前的研究表明，自动电子健康记录（EHR）警报本身并不能显著改善高脂血症患者的脂质谱。我们的研究表明，可能需要额外的患者参与策略来优化LDL管理。个性化的随访干预，如电话，可能会加强对治疗计划的依从性，并改善血脂控制的结果。目的/目的本研究评估了将随访电话与包含基于指南的脂质管理建议的自动电子病历警报相结合以改善门诊低密度脂蛋白结局的有效性。方法对2022年10月至2023年10月期间的250例患者进行分析。收集基线和干预后LDL水平，以及人口统计学变量（年龄、性别、种族和民族）。统计分析包括相关检验、t检验和回归模型，以评估基线LDL、年龄和性别对干预后LDL变化的影响。结果基线LDL水平与LDL降低呈中度负相关（r = -0.517），表明初始LDL水平越高的患者LDL降低程度越高。研究人群中56%为男性，平均年龄68岁（SD 11）。年龄（r = 0.007）和性别（p = 0.362）对LDL变化均无显著影响。回归分析显示，基线LDL占LDL降低变化的26.9% (p <；0.001)，表明初始LDL较高的患者从干预中获益最多。结论：将随访电话与自动电子病历警报相结合可以加强LDL管理，特别是在基线LDL水平升高的患者中。年龄和性别对降低LDL的影响最小。这些发现强调了将数字健康干预与患者直接参与相结合以优化血脂控制的潜在益处。未来的研究应探讨这种综合方法的长期影响和成本效益。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of clinical lipidology 医学-药学

CiteScore

7.00

自引率

6.80%

发文量

209

审稿时长

49 days

期刊介绍： Because the scope of clinical lipidology is broad, the topics addressed by the Journal are equally diverse. Typical articles explore lipidology as it is practiced in the treatment setting, recent developments in pharmacological research, reports of treatment and trials, case studies, the impact of lifestyle modification, and similar academic material of interest to the practitioner. Sections of Journal of clinical lipidology will address pioneering studies and the clinicians who conduct them, case studies, ethical standards and conduct, professional guidance such as ATP and NCEP, editorial commentary, letters from readers, National Lipid Association (NLA) news and upcoming event information, as well as abstracts from the NLA annual scientific sessions and the scientific forums held by its chapters, when appropriate.