Evidence map›Paper›PMID 29350506›Full record

ArticleThe American journal of managed care2018

Electronic health record "super-users" and "under-users" in ambulatory care practices.

Juliet Rumball-Smith, Paul Shekelle, Cheryl L Damberg

Abstract read
In one paragraph

Article in The American journal of managed care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Survey of psychiatrist use of digital technology in clinical practice.International journal of bipolar disorders · 2020
    Article
  8. Article
  9. Review
  10. Review
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.

Juliet Rumball-SmithTohora House, Northland District Health Board, Whangarei 0110, New Zealand. Email: jrs@health.rumballsmith.nz.
Paul Shekelle
Cheryl L Damberg

Funding

Understanding Health Care Delivery Systems PCOR Adoption and System PerformanceU19HS024067 · AHRQ · RAND CORPORATION · PI DAMBERG, CHERYL · 2015 to 2019
$17.4M
AHRQ HHS U19 HS024067
6 · The paper itself

Abstract

objectivesThis study explored variation in the extent of use of electronic health record (EHR)-based health information technology (IT) functionalities across US ambulatory care practices. Use of health IT functionalities in ambulatory care is important for delivering high-quality care, including that provided in coordination with multiple practitioners. STUDY

designWe used data from the 2014 Healthcare Information and Management Systems Society Analytics survey. The responses of 30,123 ambulatory practices with an operational EHR were analyzed to examine the extent of use of EHR-based health IT functionalities for each practice.

methodsWe created a novel framework for classifying ambulatory care practices employing 7 domains of health IT functionality. Drawing from the survey responses, we created a composite "use" variable indicating the extent of health IT functionality use across these domains. "Super-user" practices were defined as having near-full employment of the 7 domains of health IT functionalities and "under-users" as those with minimal or no use of health IT functionalities. We used multivariable logistic regression to investigate how the odds of super-use and under-use varied by practice size, type, urban or rural location, and geographic region.

resultsSeventy-three percent of practices were not using EHR technologies to their full capability, and nearly 40% were classified as under-users. Under-user practices were more likely to be of smaller size, situated in the West, and located outside a metropolitan area.

conclusionsTo achieve the broader benefits of the EHR and health IT, health systems and policy makers need to identify and address barriers to full use of health IT functionalities.

Indexed as

Attitude to ComputersAdultAmbulatory CareElectronic Health RecordsFemaleHealth PersonnelHumansMaleMedical InformaticsMiddle AgedPrimary Health CareUnited States

Identifiers

PMID29350506
PMCPMC6556122

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.