Dataset Information

A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample.

ABSTRACT:

Background

The growing availability of electronic health records (EHRs) in the US could provide researchers with a more detailed and clinically relevant alternative to using claims-based data.

Methods

In this study we compared a very large EHR database (Health Facts©) to a well-established population estimate (Nationwide Inpatient Sample). Weighted comparisons were made using t-value and relative difference over diagnoses and procedures for the year 2010.

Results

The two databases have a similar distribution pattern across all data elements, with 24 of 50 data elements being statistically similar between the two data sources. In general, differences that were found are consistent across diagnosis and procedures categories and were specific to the psychiatric-behavioral and obstetrics-gynecology services areas.

Conclusions

Large EHR databases have the potential to be a useful addition to health services researchers, although they require different analytic techniques compared to administrative databases; more research is needed to understand the differences.

SUBMITTER: DeShazo JP

PROVIDER: S-EPMC4572624 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Publications

A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample.

DeShazo Jonathan P JP Hoffman Mark A MA

BMC health services research 20150915

<h4>Background</h4>The growing availability of electronic health records (EHRs) in the US could provide researchers with a more detailed and clinically relevant alternative to using claims-based data.<h4>Methods</h4>In this study we compared a very large EHR database (Health Facts©) to a well-established population estimate (Nationwide Inpatient Sample). Weighted comparisons were made using t-value and relative difference over diagnoses and procedures for the year 2010.<h4>Results</h4>The two da ...[more]

PMID: 26373538

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Project description:BackgroundTo study the impact of valvular heart disease (VHD) on hip replacement, particularly the clinical impactions of aortic stenosis before total/partial hip arthroplasty.MethodsThis was a retrospective cohort study. Data on patients who had undergone hip replacement from 2005 to 2014 were extracted from the NIS database. Independent t test and chi-square test were used to analyze the essential characteristics of patients. Multivariate regression was used to estimate the correlation among demographics, comorbidities, complications, hospitalization costs, and time.ResultsVHD accounted for 5.56% and AS accounted for 0.03% of the patients before hip replacement surgeries. Patients with VHD before hip replacement are related to the following characteristics: female patients (odds ratio [OR] = 1.15 [1.12-1.18]), elective admission (OR = 0.78 [0.76-0.80]), Charlson Comorbidity Index ≥3 (OR = 1.06 [1.03-1.08]), large-volume hospitals (OR = 1.13 [1.1-1.2]), teaching hospitals (OR = 5 4.4 [2.9-6.7]), and hospital location in urban areas (OR = 1.22 [1.2-1.3]). In addition, VHD is a risk factor for mortality and some acute postoperative medical complications, such as acute cardiac event (OR = 2.96 [2.87-3.04]), acute pulmonary edema (OR = 1.13 [1.06-1.21]), acute cerebrovascular event (OR = 1.22 [1.16-1.74]), and acute renal failure (OR = 1.22 [1.17-1.27]). It also has an impact on DVT/PE (OR = 0.89 [0.8-0.99]). Patients with AS before hip replacement have basic demographic characteristics like those of hip replacement patients with valvular disease. Patients with AS are older than those without AS before surgery (OR = 3.28 [2.27-4.75) and are related to the following characteristics: female patients (OR = 1.92 [1.32-2.8]) and elective admission (OR = 0.51 [0.36-0.75]). The perioperative period is limited to acute postoperative complications, such as acute cardiac events (OR = 2.50 [1.76-3.53]) and acute hepatic failure (OR = 7.69 [1.8-32.89]). Both valvular diseases and AS are associated with a higher mortality rate and hospitalization cost.ConclusionVHD independently predicted mortality rate and surgical and medical complications after total/partial hip arthroplasty.

Project description:ImportanceDespite the broad adoption and optimization of electronic health record (EHR) systems across the continuum of care, serious usability and safety problems persist.ObjectiveTo assess whether EHR safety performance is associated with EHR frontline user experience in a national sample of hospitals.Design, setting, and participantsThis cross-sectional study included all US adult hospitals that used the National Quality Forum Leapfrog Health IT Safety Measure and also used the ARCH Collaborative EHR User experience survey from January 1, 2017, to January 1, 2019. Data analysis was performed from September 2020 to November 2022.Main outcomes and measuresThe primary outcomes were hospital performance on the Leapfrog Health IT Safety measure (overall and 10 subcomponents) and the ARCH collaborative frontline user experience scores (overall and 8 subcomponents). Ordinary least squares models with survey responses clustered by hospital were used to assess associations between the overall measures and their subcomponents.ResultsThere were 112 hospitals and 5689 frontline user surveys included in the study. Hospitals scored a mean of 0.673 (range, 0.297-0.973) on the Leapfrog Health IT safety measure; the mean ARCH EHR user experience score was 3.377 (range, 1 [best] to 5 [worst]). The adjusted β coefficient between the overall safety score and overall user experience score was 0.011 (95% CI, 0.006-0.016). The ARCH overall score was also significantly associated with 10 subcategory scores of the Leapfrog Health IT safety score, and the overall Leapfrog score was associated with the 8 subcategory scores of the ARCH user experience score.Conclusions and relevanceThis cross-sectional study found a positive association between frontline user-rated EHR usability and EHR safety performance. This finding suggests that improving EHR usability, which is a current well-known pain point for EHR users, could have direct benefits in terms of improved EHR safety.

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Dataset Information

A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample.

Background

Methods

Results

Conclusions

Publications

A comparison of a multistate inpatient EHR database to the HCUP Nationwide Inpatient Sample.

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