Evidence map›Paper›PMID 26568607›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2016

Effects of health information technology on patient outcomes: a systematic review.

Samantha K Brenner, Rainu Kaushal, Zachary Grinspan, Christine Joyce, Inho Kim, Rhonda J Allard, Diana Delgado, Erika L Abramson

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 8 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

48 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  9. Effectiveness of Theory-Based Health Information Technology Interventions on Coronary Artery Disease Self-Management Behavior: A Clinical Randomized Waitlist-Controlled Trial.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2021
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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

8 authors.

Samantha K BrennerDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Center for Healthcare Informatics and Policy, New York, NY, USA Department of Medicine, Stanford School of Medicine, Palo Alto, CA, USA Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
Rainu KaushalDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Center for Healthcare Informatics and Policy, New York, NY, USA Department of Medicine, Weill Cornell Medical College, New York, NY, USA Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA New York-Presbyterian Hospital, New York, NY, USA.
Zachary GrinspanDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Center for Healthcare Informatics and Policy, New York, NY, USA Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA New York-Presbyterian Hospital, New York, NY, USA.
Christine JoyceDepartment of Pediatrics, Weill Cornell Medical College, New York, NY, USA New York-Presbyterian Hospital, New York, NY, USA.
Inho KimNew York-Presbyterian Hospital, New York, NY, USA Department of Emergency Medicine, Weill Cornell Medical College, New York, NY, USA.
Rhonda J AllardUniformed Services University of the Health Sciences, Bethesda, MD, USA.
Diana DelgadoSamuel J. Wood Library & C.V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, NY, USA.
Erika L AbramsonDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Center for Healthcare Informatics and Policy, New York, NY, USA Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA New York-Presbyterian Hospital, New York, NY, USA err9009@med.cornell.edu.

Funding

WCMC Child Neurology Postdoctoral Training on Developmental NeurosciencesK12NS066274 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KOSOFSKY, BARRY E · 2010 to 2019
$2.8M
NINDS NIH HHS K12 NS066274
6 · The paper itself

Abstract

objectiveTo systematically review studies assessing the effects of health information technology (health IT) on patient safety outcomes. MATERIALS AND

methodsThe authors employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement methods. MEDLINE, Cumulative Index to Nursing Allied Health (CINAHL), EMBASE, and Cochrane Library databases, from 2001 to June 2012, were searched. Descriptive and comparative studies were included that involved use of health IT in a clinical setting and measured effects on patient safety outcomes.

resultsData on setting, subjects, information technology implemented, and type of patient safety outcomes were all abstracted. The quality of the studies was evaluated by 2 independent reviewers (scored from 0 to 10). A total of 69 studies met inclusion criteria. Quality scores ranged from 1 to 9. There were 25 (36%) studies that found benefit of health IT on direct patient safety outcomes for the primary outcome measured, 43 (62%) studies that either had non-significant or mixed findings, and 1 (1%) study for which health IT had a detrimental effect. Neither the quality of the studies nor the rate of randomized control trials performed changed over time. Most studies that demonstrated a positive benefit of health IT on direct patient safety outcomes were inpatient, single-center, and either cohort or observational trials studying clinical decision support or computerized provider order entry. DISCUSSION AND

conclusionMany areas of health IT application remain understudied and the majority of studies have non-significant or mixed findings. Our study suggests that larger, higher quality studies need to be conducted, particularly in the long-term care and ambulatory care settings.

Indexed as

Medical InformaticsPatient SafetyTreatment OutcomeHumansadverse eventshealth information technologypatient outcomessystematic review

Identifiers

PMID26568607
PMCPMC6375119

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.