Dataset Information

The effectiveness of implementing an electronic health record on diabetes care and outcomes.

ABSTRACT:

Objective

To assess the impact of electronic health record (EHR) implementation on primary care diabetes care.

Data sources

Charts were abstracted semi-annually for 14,051 diabetes patients seen in 34 primary care practices in a large, fee-for-service network from January 1, 2005 to December 31, 2010. The study sample was limited to patients aged 40 years or older.

Study design

A naturalistic experiment in which GE Centricity Physician Office-EMR 2005 was rolled out over a staggered 3-year schedule.

Data collection

Chart audits were conducted using the AMA/Physician Consortium Adult Diabetes Measure set. The primary outcome was the HealthPartners' "optimal care" measure: HbA1c ? 8 percent; LDL cholesterol < 100 mg/dl; blood pressure < 130/80 mmHg; not smoking; and documented aspirin use in patients ? 40 years of age.

Principal findings

After adjusting for patient age, sex, and insulin use, patients exposed to the EHR were significantly more likely to receive "optimal care" when compared with unexposed patients (p < .001), with an estimated difference of 9.20 percent (95% CI: 6.08, 12.33) in the final year between exposed patients and patients never exposed. Components of the optimal care bundle showing positive improvement after adjustment were systolic blood pressure <80 mmHg, diastolic blood pressure <130 mmHg, aspirin prescription, and smoking cessation. Among patients exposed to EHR, all process and outcome measures except HbA1c and lipid control showed significant improvement.

Conclusion

Implementation of a commercially available EHR in primary care practice may improve diabetes care and clinical outcomes.

SUBMITTER: Herrin J

PROVIDER: S-EPMC3401397 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The effectiveness of implementing an electronic health record on diabetes care and outcomes.

Herrin Jeph J da Graca Briget B Nicewander David D Fullerton Cliff C Aponte Phil P Stanek Greg G Cowling Terianne T Collinsworth Ashley A Fleming Neil S NS Ballard David J DJ

Health services research 20120117 4

<h4>Objective</h4>To assess the impact of electronic health record (EHR) implementation on primary care diabetes care.<h4>Data sources</h4>Charts were abstracted semi-annually for 14,051 diabetes patients seen in 34 primary care practices in a large, fee-for-service network from January 1, 2005 to December 31, 2010. The study sample was limited to patients aged 40 years or older.<h4>Study design</h4>A naturalistic experiment in which GE Centricity Physician Office-EMR 2005 was rolled out over a ...[more]

PMID: 22250953

Similar Datasets

Project description:BackgroundMultiple policy initiatives encourage more cautious prescribing of opioids in light of their risks. Electronic health record (EHR) redesign can influence prescriber choices, but some redesigns add to workload.ObjectiveTo estimate the effect of an EHR prescribing redesign on both opioid prescribing choices and keystrokes.DesignQuality improvement quasi-experiment, analyzed as interrupted time series.ParticipantsAdult patients of an academic multispecialty practice and a federally qualified health center (FQHC) who received new prescriptions for short-acting opioids, and their providers.InterventionIn the redesign, new prescriptions of short-acting opioids defaulted to the CDC-recommended minimum for opioid-naïve patients, with no alerts or hard stops, such that 9 keystrokes were required for a guideline-concordant prescription and 24 for a non-concordant prescription.Main measuresProportion of guideline-concordant prescriptions, defined as new prescriptions with a 3-day supply or less, calculated per 2-week period. Number of mouse clicks and keystrokes needed to place prescriptions.Key resultsAcross the 2 sites, 22,113 patients received a new short-acting opioid prescription from 821 providers. Before the intervention, both settings showed secular trends toward smaller-quantity prescriptions. At the academic practice, the intervention was associated with an immediate increase in guideline-concordant prescriptions from an average of 12% to 31% of all prescriptions. At the FQHC, about 44% of prescriptions were concordant at the time of the intervention, which was not associated with an additional significant increase. However, total keystrokes needed to place the concordant prescriptions decreased 62.7% from 3552 in the 6 months before the intervention to 1323 in the 6 months afterwards.ConclusionsAutocompleting prescription forms with guideline-recommended values was associated with a large increase in guideline concordance in an organization where baseline concordance was low, but not in an organization where it was already high. The redesign markedly reduced the number of keystrokes needed to place orders, with important implications for EHR-related stress.Trial registrationwww.ClinicalTrials.gov protocol 1710018646.

Project description:BACKGROUND:Electronic health records are now widely adopted in medical and behavioral health settings. While they have the potential to improve the quality of care, the research findings on their impact on clinical practice and outcomes have been mixed. This study explores how the electronic health record and its stage of development influenced the implementation of person-centered care planning in community mental health clinics. METHODS:The study was set in five community mental health clinics which utilized an EHR and had been trained in person-centered care planning. Using an objective quantitative measure of fidelity, the study examined fidelity to PCCP across time and by stage of EHR development. Data from focus groups, interviews with clinic leaders and consultant reports was analyzed to explore the process of implementation and the role of the electronic health record. RESULTS:All clinics demonstrated an overall increase in PCCP fidelity at the conclusion of the study period but there were significant differences in PCCP fidelity among clinics with EHRs in different stages of development. Electronic health records emerged as a significant implementation factor in the qualitative data with clinics being unable to individualize service plans and encountering technical difficulties. Barriers to person-centered care included drop-down boxes and pre-determined outcomes. Clinic responses included customizing their record or developing workarounds. CONCLUSIONS:The study demonstrated the need to align the electronic health record with a person-centered approach which includes individualizing information and orienting service plans to personal life goals. The ability of clinics to be able to customize their records and balance the need for unique and aggregate information in the record is critical to improve both the provider experience and the quality of care. TRIAL REGISTRATION:Clinicaltrials.gov , NCT02299492 , registered on November 24, 2014.

Project description:Background Familial hypercholesterolemia ( FH ), is a historically underdiagnosed, undertreated, high-risk condition that is associated with a high burden of cardiovascular morbidity and mortality. In this study, we use a population-based approach using electronic health record ( EHR )-based algorithms to identify FH . We report the major adverse cardiovascular events, mortality, and cost of medical care associated with this diagnosis. Methods and Results In our 1.18 million EHR- eligible cohort, International Classification of Diseases, Ninth Revision ( ICD -9) code-defined hyperlipidemia was categorized into FH and non- FH groups using an EHR algorithm designed using the modified Dutch Lipid Clinic Network criteria. Major adverse cardiovascular events, mortality, and cost of medical care were analyzed. A priori associated variables/confounders were used for multivariate analyses using binary logistic regression and linear regression with propensity score-based weighted methods as appropriate. EHR FH was identified in 32 613 individuals, which was 2.7% of the 1.18 million EHR cohort and 13.7% of 237 903 patients with hyperlipidemia. FH had higher rates of myocardial infarction (14.77% versus 8.33%; P<0.0001), heart failure (11.82% versus 10.50%; P<0.0001), and, after adjusting for traditional risk factors, significantly correlated to a composite major adverse cardiovascular events variable (odds ratio, 4.02; 95% CI, 3.88-4.16; P<0.0001), mortality (odds ratio, 1.20; CI, 1.15-1.26; P<0.0001), and higher total revenue per-year (incidence rate ratio, 1.30; 95% CI, 1.28-1.33; P<0.0001). Conclusions EHR -based algorithms discovered a disproportionately high prevalence of FH in our medical cohort, which was associated with worse outcomes and higher costs of medical care. This data-driven approach allows for a more precise method to identify traditionally high-risk groups within large populations allowing for targeted prevention and therapeutic strategies.

Dataset Information

The effectiveness of implementing an electronic health record on diabetes care and outcomes.

Objective

Data sources

Study design

Data collection

Principal findings

Conclusion

Publications

The effectiveness of implementing an electronic health record on diabetes care and outcomes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure