Evidence map›Paper›PMID 32082702›Full record

ArticleHealthcare informatics research2020

Association between Full Electronic Medical Record System Adoption and Drug Use: Antibiotics and Polypharmacy.

Young-Taek Park, Donghwan Kim, Rae Woong Park, Koray Atalag, In Ho Kwon, Dukyong Yoon, Mona Choi

Abstract read
In one paragraph

Article in Healthcare informatics research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Young-Taek ParkDepartment of Information and Communication Technology, Health Insurance Review and Assessment Service, Wonju, Korea.ORCID https://orcid.org/0000-0002-7574-4165
Donghwan KimResearch Institute for Health Insurance Review and Assessment, Health Insurance Review and Assessment Service, Wonju, Korea.ORCID https://orcid.org/0000-0003-3083-4228
Rae Woong ParkDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0003-4989-3287
Koray AtalagAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0003-0517-4803
In Ho KwonDepartment of Emergency Medicine, Dong-A University College of Medicine, Busan, Korea.ORCID https://orcid.org/0000-0002-2518-6951
Dukyong YoonDepartment of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0003-1635-8376
Mona ChoiMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Korea.ORCID https://orcid.org/0000-0003-4694-0359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe investigated associations between full Electronic Medical Record (EMR) system adoption and drug use in healthcare organizations (HCOs) to explore whether EMR system features such as electronic prescribing, medicines reconciliation, and decision support, might be related to drug use by using the relevant nation-wide data.

methodsThe study design was cross-sectional. Survey data of the level of adoption of EMR systems were collected for the Organization for Economic Co-operation and Development benchmarking information and communication technologies (ICT) study between November 2013 and January 2014, in Korea. Survey respondents were hospital chief information officers and medical practitioners in primary care clinics. From the national health insurance administrative dataset, two outcomes, the rate of antibiotic prescription and polypharmacy with ≥6 drugs, were extracted.

resultsWe found that full EMR adoption showed a 16.1% lower antibiotic drug prescription than partial adoption including paper-based medical charts in the hospital only (

conclusionsThe findings suggested that there might be some confounding effects present and sophisticated ICT may provide some benefits to the quality of care even with some mixed results. Although a negative relationship between full EMR system adoption and antibiotic drug use was only significant in hospitals, EMR system functions searching drugs or listing specific patients might facilitate antibiotic drug use reduction. Positive relationships between full EMR system adoption and polypharmacy rate in general hospitals and clinics, but not hospitals, require further research.

Indexed as

Anti-Bacterial AgentsElectronic Health RecordsHealth Care Evaluation MechanismsPolypharmacyQuality of Health Care

Identifiers

PMID32082702
PMCPMC7010944

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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.