Evidence map›Paper›PMID 26671699›Full record

ArticleThe American journal of managed care2015

The impact of electronic health records and teamwork on diabetes care quality.

Ilana Graetz, Jie Huang, Richard Brand, Stephen M Shortell, Thomas G Rundall, Jim Bellows, John Hsu, Marc Jaffe, Mary E Reed

Abstract read
In one paragraph

Article in The American journal of managed care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Therapeutic Inertia: Still a Long Way to Go That Cannot Be Postponed.Diabetes spectrum : a publication of the American Diabetes Association · 2020
    Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. 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

9 authors.

Ilana GraetzUniversity of Tennessee Health Science Center, 66 N Pauline St, Ste 633, Memphis, TN 38163. E-mail: igraetz@uthsc.edu.
Jie Huang
Richard Brand
Stephen M Shortell
Thomas G Rundall
Jim Bellows
John Hsu
Marc Jaffe
Mary E Reed

Funding

Impact of Integrated Patient-Facing Health IT Tools on Quality and Resource Use for Patients with DiabetesR01DK085070 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI REED, MARY · 2010 to 2019
$4.4M
Impact of Health Information Technology on Clinical CareR01HS015280 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI HSU, JOHN · 2004 to 2006
$497k
EHR use and care coordinationR36HS021082 · AHRQ · UNIVERSITY OF CALIFORNIA BERKELEY · PI GRAETZ, ILANA · 2011 to 2011
$41k
AHRQ HHS 1R36HS021082-01AHRQ HHS R01 HS015280AHRQ HHS R01HS015280AHRQ HHS R36 HS021082NIDDK NIH HHS R01 DK085070NIDDK NIH HHS R01DK085070
6 · The paper itself

Abstract

objectivesEvidence of the impact electronic health records (EHRs) have on clinical outcomes remains mixed. The impact of EHRs likely depends on the organizational context in which they are used. This study focuses on one aspect of the organizational context: cohesion of primary care teams. We examined whether team cohesion among primary care team members changed the association between EHR use and changes in clinical outcomes for patients with diabetes. STUDY

designRetrospective longitudinal study.

methodsWe combined provider-reported primary care team cohesion with lab values for patients with diabetes collected during the staggered EHR implementation (2005-2009). We used multivariate regression models with patient-level fixed effects to assess whether team cohesion levels changed the association between outpatient EHR use and clinical outcomes for patients with diabetes. Subjects were comprised of 80,611 patients with diabetes, in whom we measured changes in glycated hemoglobin (A1C) and low-density lipoprotein cholesterol (LDL-C).

resultsFor A1C, EHR use was associated with an average decrease of 0.11% for patients with higher-cohesion primary care teams compared with a decrease of 0.08% for patients with lower-cohesion teams (difference = 0.02% in A1C; 95% CI, 0.01%-0.03%). For LDL-C, EHR use was associated with a decrease of 2.15 mg/dL for patients with higher-cohesion primary care teams compared with a decrease of 1.42 mg/dL for patients with lower-cohesion teams (difference = 0.73 mg/dL; 95% CI, 0.41-1.11 mg/dL).

conclusionsPatients cared for by higher cohesion primary care teams experienced modest but statistically significantly greater EHR-related health outcome improvements, compared with patients cared for by providers practicing in lower cohesion teams.

Indexed as

Electronic Health RecordsQuality of Health CareAdultAgedCaliforniaCholesterol, LDLDiabetes MellitusFemaleGlycated HemoglobinHumansLongitudinal StudiesMaleMiddle AgedPrimary Health CareRetrospective StudiesCholesterol, LDLGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID26671699
PMCPMC5130313

What OpenQuestion holds

Textmetadata
LicenceTDM
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.