Evidence map›Paper›PMID 32308512›Full record

ArticleRisk management and healthcare policy2020

Hospital Characteristics Associated with Certified EHR Adoption among US Psychiatric Hospitals.

Xuejun Hu, Haiyan Qu, Shannon H Houser, Huoliang Chen, Jinming Zhou, Min Yu

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

  1. Review
  2. Article
  3. Basic electronic health record (EHR) adoption inBMC health services research · 2023
    Article
  4. Article
  5. Article
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

6 authors.

Xuejun HuDepartment of Health Services Administration, Air Force Medical University, Xi'an, People's Republic of China.
Haiyan QuDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, USA.
Shannon H HouserDepartment of Health Services Administration, University of Alabama at Birmingham, Birmingham, AL, USA.
Huoliang ChenDepartment of Health Services Administration, Air Force Medical University, Xi'an, People's Republic of China.
Jinming ZhouDepartment of Health Services Administration, Air Force Medical University, Xi'an, People's Republic of China.
Min YuDepartment of Health Services Administration, Academy of Military Medical Sciences, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to explore the relationship between hospital characteristics and certified electronic health record (EHR) adoption in psychiatric hospitals in the US.

methodsData were drawn from the American Hospital Association Annual Survey Database and the Centers for Medicare and Medicaid Services Hospital Compare data sets in 2016. Binary logistic regression analysis and

resultsOf 1,059 psychiatric hospitals in the US, 502 (47.4%) have adopted certified EHR technology. Large hospitals (OR 2.29, 95% CI 1.52-3.44;

conclusionThe study results suggested variations in EHR adoption according to hospital location, size, ownership, and network participation. This study fills a gap in previous work on certified EHR adoption that focused exclusively on general hospitals, but overlooked psychiatric hospitals. Future policies designed to influence the implementation of certified EHRs should take into consideration how hospital size, ownership, and network-affiliation status affect certified EHR adoption among psychiatric hospitals.

Indexed as

electronic health recordshealth information technologyhospital characteristicspsychiatric hospitals

Identifiers

PMID32308512
PMCPMC7135123

What OpenQuestion holds

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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.