Evidence map›Paper›PMID 27889873›Full record

SynthesisJournal of medical systems2017

Information Technology-Based Interventions to Improve Drug-Drug Interaction Outcomes: A Systematic Review on Features and Effects.

Ehsan Nabovati, Hasan Vakili-Arki, Zhila Taherzadeh, Mohammad Reza Saberi, Stephanie Medlock, Ameen Abu-Hanna, Saeid Eslami

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Effect of electronic drug-drug interaction alerts on patient and clinician outcomes: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2025
    Pooled it
  2. Effects of mhealth applications on military personnel's physical and mental health: A systematic review.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2025
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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

7 authors.

Ehsan NabovatiHealth Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Hasan Vakili-ArkiStudent Research Committee, Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences , Mashhad, Iran.
Zhila TaherzadehTargeted Drug Delivery Research Center and Neurogenic Inflammation Research Center, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Reza SaberiMedical Chemistry Department, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
Stephanie MedlockDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Ameen Abu-HannaDepartment of Medical Informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.
Saeid EslamiTargeted Drug Delivery Research Center and Neurogenic Inflammation Research Center, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran. EslamiS@mums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this systematic review was to identify features and effects of information technology (IT)-based interventions on outcomes related to drug-drug interactions (DDI outcomes). A literature search was conducted in Medline, EMBASE, and the Cochrane Library for published English-language studies. Studies were included if a main outcome was related to DDIs, the intervention involved an IT-based system, and the study design was experimental or observational with controls. Study characteristics, including features and effects of IT-based interventions, were extracted. Nineteen studies comprising five randomized controlled trials (RCT), five non-randomized controlled trials (NRCT) and nine observational studies with controls (OWC) were included. Sixty-four percent of prescriber-directed interventions, and all non-prescriber interventions, were effective. Each of the following characteristics corresponded to groups of studies of which a majority were effective: automatic provision of recommendations within the providers' workflow, intervention at the time of decision-making, integration into other systems, and requiring the reason for not following the recommendations. Only two studies measured clinical outcomes: an RCT that showed no significant improvement and an OWC that showed improvement, but did not statistically assess the effect. Most studies that measured surrogate outcomes (e.g. potential DDIs) and other outcomes (e.g. adherence to alerts) showed improvements. IT-based interventions improve surrogate clinical outcomes and adherence to DDI alerts. However, there is lack of robust evidence about their effectiveness on clinical outcomes. It is recommended that researchers consider the identified features of effective interventions in the design of interventions and evaluate the effectiveness on DDI outcomes, particularly clinical outcomes.

Indexed as

Drug InteractionsDecision Support Systems, ClinicalHumansMedical Order Entry SystemsMedication ErrorsDecision support systemsDrug interactionsInformation technologyInterventionMedication errorsSystematic review

Identifiers

PMID27889873

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.