Evidence map›Paper›PMID 25755124›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2015

Electronic health records and health care quality over time in a federally qualified health center.

Lisa M Kern, Alison M Edwards, Michelle Pichardo, Rainu Kaushal

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Using Health IT to Coordinate Care and Improve Quality in Safety-Net Clinics.Joint Commission journal on quality and patient safety · 2018
    Article
  4. Article
  5. Article
  6. [Electronic Medical Record for Prenatal Care of Diabetic Women].Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2016
    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

4 authors.

Lisa M KernCenter for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, USA Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, USA Department of Medicine, Weill Cornell Medical College, New York, USA lmk2003@med.cornell.edu.
Alison M EdwardsCenter for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, USA Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, USA.
Michelle PichardoInstitute for Family Health, New York, NY, USA.
Rainu KaushalCenter for Healthcare Informatics and Policy, Weill Cornell Medical College, New York, USA Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, USA Department of Medicine, Weill Cornell Medical College, New York, USA Department of Pediatrics, Weill Cornell Medical College, New York, USA New York-Presbyterian Hospital, New York, USA.

Funding

Developing and Using Valid Clinical Quality Metrics for HIT with HIER18HS017067 · AHRQ · WEILL MEDICAL COLL OF CORNELL UNIV · PI KAUSHAL, RAINU · 2007 to 2008
$975k
AHRQ HHS R18 HS 017067
6 · The paper itself

Abstract

The longitudinal effects of electronic health records (EHRs) on ambulatory quality are not clear. It is not known whether adoption and meaningful use of EHRs result in a brief period of quality improvement that then plateaus, or whether with ongoing use quality improvement continues. We studied health care quality at six sites of a Federally Qualified Health Center in New York State over 3 years (2008-2010) for 25 290 unique patients. Patients were twice as likely to receive recommended care on a set of 12 quality measures (11 of which are included in Stage 1 Meaningful Use) 3 years post-EHR implementation, compared to 1-year post-implementation (odds ratio 1.97; 95% confidence interval, 1.91-2.03). The magnitude of absolute improvement ranged from 5% to 20% per measure. EHRs were associated with continuing improvement in health care quality for at least 3 years post-implementation in the safety-net setting of a Federally Qualified Health Center.

Indexed as

Electronic Health RecordsMeaningful UseAdultAgedHumansMaleMiddle AgedNew YorkQuality of Health CareSafety-net Providerselectronic health recordsquality of health caresafety-net providers

Identifiers

PMID25755124
PMCPMC11737104

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.