Evidence map›Paper›PMID 22267253›Full record

ArticlePsychiatric services (Washington, D.C.)2012

Impact of electronic health record transition on behavioral health screening in a large pediatric practice.

Karen Hacker, Robert Penfold, Fang Zhang, Stephen B Soumerai

Abstract read
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

4 authors.

Karen HackerInstitute for Community Health, Cambridge Health Alliance, 163 Gore St., Cambridge, MA 02141, USA. khacker@challiance.org
Robert Penfold
Fang Zhang
Stephen B Soumerai

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
SSRI's and SuicidalityU19MH092201 · NIMH · KAISER FOUNDATION RESEARCH INSTITUTE · PI SIMON, GREGORY E. · 2010 to 2018
$19.5M
THE HMO RESEARCH NETWORK CERTU18HS010391 · AHRQ · HARVARD PILGRIM HEALTH CARE, INC. · PI PLATT, RICHARD · 2000 to 2006
$799k
AHRQ HHS U18 HS010391AHRQ HHS U18HS010391NCRR NIH HHS UL1 RR 025758NCRR NIH HHS UL1 RR025758NIMH NIH HHS 1U19MH092201-01NIMH NIH HHS U19 MH092201
6 · The paper itself

Abstract

objectiveThe objective was to determine whether transitioning from paper to electronic health records affected behavioral health screening rates in a large Northeastern pediatric practice.

methodsThe study setting was a pediatric practice with seven pediatricians, serving about 6,000 patients. The patient population was diverse (54% nonwhite, 40% publicly insured or self-paying, and 31% non-English speakers). An interrupted times series design was used to evaluate the impact of electronic record implementation on behavioral health screening rates. The main outcome measure was the rate of such screening 18 months before and 36 months after implementation.

resultsThe rate of behavioral health screening increased from 70% to 91% during the baseline period. The training period-six months before electronic record implementation-was associated with a 28% decline in adjusted screening rates (from 83.3% to 55.5%). Only 50% of eligible youths were screened in the first month after implementation. The screening rate took more than three years to recover to baseline levels, climbing to 82% by April 2008.

conclusionsPractice changes resulting from electronic record adoption were highly disruptive of care, and disruptions took several years to resolve completely. When medical assistants rather than physicians were tasked with transferring data from paper screening forms to the electronic record, reporting compliance improved. Compliance with Healthcare Effectiveness Data and Information Set standards and Medicaid performance measures will likely be similarly affected as electronic records are implemented nationwide. Although implementing a fully automated medical record has some benefits, the unintended effects on care after implementation must be acknowledged.

Indexed as

Efficiency, OrganizationalElectronic Health RecordsPediatricsAdolescentAttitude of Health PersonnelChildChild Behavior DisordersChild, PreschoolDiffusion of InnovationHumansMass ScreeningOutcome and Process Assessment, Health CarePractice Patterns, Physicians'Primary Health CareTime FactorsUnited States

Identifiers

PMID22267253
PMCPMC3704213

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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.