Unknown

Dataset Information

0

Low-Density Lipoprotein Cholesterol Target Attainment in Patients With Established Cardiovascular Disease: Analysis of Routine Care Data.


ABSTRACT:

Background

Direct feedback on quality of care is one of the key features of a learning health care system (LHS), enabling health care professionals to improve upon the routine clinical care of their patients during practice.

Objective

This study aimed to evaluate the potential of routine care data extracted from electronic health records (EHRs) in order to obtain reliable information on low-density lipoprotein cholesterol (LDL-c) management in cardiovascular disease (CVD) patients referred to a tertiary care center.

Methods

We extracted all LDL-c measurements from the EHRs of patients with a history of CVD referred to the University Medical Center Utrecht. We assessed LDL-c target attainment at the time of referral and per year. In patients with multiple measurements, we analyzed LDL-c trajectories, truncated at 6 follow-up measurements. Lastly, we performed a logistic regression analysis to investigate factors associated with improvement of LDL-c at the next measurement.

Results

Between February 2003 and December 2017, 250,749 LDL-c measurements were taken from 95,795 patients, of whom 23,932 had a history of CVD. At the time of referral, 51% of patients had not reached their LDL-c target. A large proportion of patients (55%) had no follow-up LDL-c measurements. Most of the patients with repeated measurements showed no change in LDL-c levels over time: the transition probability to remain in the same category was up to 0.84. Sequence clustering analysis showed more women (odds ratio 1.18, 95% CI 1.07-1.10) in the cluster with both most measurements off target and the most LDL-c measurements furthest from the target. Timing of drug prescription was difficult to determine from our data, limiting the interpretation of results regarding medication management.

Conclusions

Routine care data can be used to provide feedback on quality of care, such as LDL-c target attainment. These routine care data show high off-target prevalence and little change in LDL-c over time. Registrations of diagnosis; follow-up trajectory, including primary and secondary care; and medication use need to be improved in order to enhance usability of the EHR system for adequate feedback.

SUBMITTER: Groenhof TKJ 

PROVIDER: S-EPMC7163416 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Low-Density Lipoprotein Cholesterol Target Attainment in Patients With Established Cardiovascular Disease: Analysis of Routine Care Data.

Groenhof T Katrien J TKJ   Kofink Daniel D   Bots Michiel L ML   Nathoe Hendrik M HM   Hoefer Imo E IE   Van Solinge Wouter W WW   Lely A Titia AT   Asselbergs Folkert W FW   Haitjema Saskia S  

JMIR medical informatics 20200402 4


<h4>Background</h4>Direct feedback on quality of care is one of the key features of a learning health care system (LHS), enabling health care professionals to improve upon the routine clinical care of their patients during practice.<h4>Objective</h4>This study aimed to evaluate the potential of routine care data extracted from electronic health records (EHRs) in order to obtain reliable information on low-density lipoprotein cholesterol (LDL-c) management in cardiovascular disease (CVD) patients  ...[more]

Similar Datasets

| S-EPMC7763787 | biostudies-literature
| S-EPMC9833225 | biostudies-literature
| S-EPMC6489793 | biostudies-literature
| S-EPMC9238661 | biostudies-literature
| S-EPMC5586287 | biostudies-literature
| S-EPMC6051722 | biostudies-literature
| S-EPMC9543364 | biostudies-literature
| S-EPMC10143414 | biostudies-literature
| S-EPMC7018439 | biostudies-literature
| S-EPMC3191659 | biostudies-other