Evidence map›Paper›PMID 27766628›Full record

ArticleHealth services research2016

Physician EHR Adoption and Potentially Preventable Hospital Admissions among Medicare Beneficiaries: Panel Data Evidence, 2010-2013.

Eric J Lammers, Catherine G McLaughlin, Michael Barna

Abstract read
In one paragraph

Article in Health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Current practice patterns and gaps in guideline-concordant breast cancer survivorship care.Journal of cancer survivorship : research and practice · 2023
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  7. Electronic health records systems and hospital clinical performance: a study of nationwide hospital data.Journal of the American Medical Informatics Association : JAMIA · 2019
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  9. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Eric J LammersMathematica Policy Research, Oakland, CA.
Catherine G McLaughlinMathematica Policy Research, Ann Arbor, MI.
Michael BarnaMathematica Policy Research, Ann Arbor, MI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test for correlation between the growth in adoption of ambulatory electronic health records (EHRs) in the United States during 2010-2013 and hospital admissions and readmissions for elderly Medicare beneficiaries with at least one of four common ambulatory care-sensitive conditions (ACSCs). DATA SOURCES: SK&A Information Services Survey of Physicians, American Hospital Association General Survey and Information Technology Supplement; and the Centers for Medicare & Medicaid Services Chronic Conditions Data Warehouse Geographic Variation Database for 2010 through 2013. STUDY

designFixed effects model estimated the relationship between hospital referral region (HRR) level measures of physician EHR adoption and ACSC admissions and readmissions. Analyzed rates of admissions and 30-day readmissions per beneficiary at the HRR level (restricting the denominator to beneficiaries in our sample), adjusted for differences across HRRs in Medicare beneficiary age, gender, and race. Calculated physician EHR adoption rates as the percentage of physicians in each HRR who report using EHR in ambulatory care settings. PRINCIPAL

findingsEach percentage point increase in market-level EHR adoption by physicians is correlated with a statistically significant decline of 1.06 ACSC admissions per 10,000 beneficiaries over the study period, controlling for the overall time trend as well as market fixed effects and characteristics that changed over time. This finding implies 26,689 fewer ACSC admissions in our study population during 2010 to 2013 that were related to physician ambulatory EHR adoption. This represents 3.2 percent fewer ACSC admissions relative to the total number of such admissions in our study population in 2010. We found no evidence of a correlation between EHR use, by either physicians or hospitals, and hospital readmissions at either the market level or hospital level.

conclusionsThis study extends knowledge about EHRs' relationship with quality of care and utilization. The results suggest a significant association between EHR use in ambulatory care settings and ACSC admissions that is consistent with policy goals to improve the quality of ambulatory care for patients with chronic conditions. The null findings for readmissions support the need for improved interoperability between ambulatory care EHRs and hospital EHRs to realize improvements in readmissions.

Indexed as

Diffusion of InnovationPhysiciansAgedAmbulatory CareElectronic Health RecordsHospitalizationHumansMedical InformaticsMedicarePatient ReadmissionQuality of Health CareUnited Statesambulatory care-sensitive conditionsEHRElectronic health recordhealth IThospitalizationsmeaningful usereadmissions

Identifiers

PMID27766628
PMCPMC5134214

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.