Evidence map›Paper›PMID 24094901›Full record

ArticleJournal of the American Medical Directors Association2013

Use and perceived benefits of mobile devices by physicians in preventing adverse drug events in the nursing home.

Steven M Handler, Richard D Boyce, Frank M Ligons, Subashan Perera, David A Nace, Harry Hochheiser

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. m-Health adoption by healthcare professionals: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016
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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

6 authors.

Steven M HandlerDepartment of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA; Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA; Geriatric Research Education and Clinical Center (GRECC), Veterans Affairs Pittsburgh Healthcare System (VAPHS), Pittsburgh, PA; Center for Health Equity Research and Promotion (CHERP), VAPHS, Pittsburgh, PA; Geriatric Pharmaceutical Outcomes and Geroinformatics Research and Training Program, University of Pittsburgh, Pittsburgh, PA. Electronic address: handler@pitt.edu.
Richard D Boyce
Frank M Ligons
Subashan Perera
David A Nace
Harry Hochheiser

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
University of Pittsburgh Clinical and Translational Science InstitutionKL2RR024154 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$22.2M
Enhancing the Detection and Management of Adverse Drug Events in the Nursing HomeR01HS018721 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANDLER, STEVEN MARK · 2010 to 2013
$2.0M
The University of Pittsburgh's Comparative Effectiveness Research Scholars PrograK12HS019461 · AHRQ · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAPOOR, WISHWA N · 2010 to 2010
$1.9M
Longitudinal Impact of CNS Polypharmacy on Geriatric SyndromesR01AG027017 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2006 to 2012
$801k
UPITT Program for Pharmaceutical Outcomes Research in AgingK07AG033174 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANLON, JOSEPH T · 2009 to 2013
$461k
AHRQ HHS K12 HS019461AHRQ HHS K12HS019461AHRQ HHS R01 HS018721AHRQ HHS R01HS018721NCRR NIH HHS KL2 RR024154NCRR NIH HHS KL2 RR024154-01NIA NIH HHS K07 AG033174NIA NIH HHS K07AG033174NIA NIH HHS L30 AG026830NIA NIH HHS P30 AG024827NIA NIH HHS P30AG024827NIA NIH HHS R01 AG027017NIA NIH HHS R01AG027017NLM NIH HHS 5 T15 LM007059-24NLM NIH HHS T15 LM007059
6 · The paper itself

Abstract

objectiveAlthough mobile devices equipped with drug reference software may help prevent adverse drug events (ADEs) in the nursing home (NH) by providing medication information at the point of care, little is known about their use and perceived benefits. The goal of this study was to conduct a survey of a nationally representative sample of NH physicians to quantify the use and perceived benefits of mobile devices in preventing ADEs in the NH setting. DESIGN/SETTING/

participantsWe surveyed physicians who attended the 2010 American Medical Directors Association Annual Symposium about their use of mobile devices, and beliefs about the effectiveness of drug reference software in preventing ADEs.

resultsThe overall net valid response rate was 70% (558/800) with 42% (236/558) using mobile devices to assist with prescribing in the NH. Physicians with 15 or fewer years of clinical experience were 67% more likely to be mobile device users, compared with those with more than 15 years of clinical experience (odds ratio = 1.68; 95% confidence interval = 1.17-2.41; P = .005). For those who used a mobile device to assist with prescribing, almost all (98%) reported performing an average of 1 or more drug look-ups per day, performed an average of 1 to 2 lookups per day for potential drug-drug interactions (DDIs), and most (88%) believed that drug reference software had helped to prevent at least 1 potential ADE in the preceding 4-week period.

conclusionsThe proportion of NH physicians who use mobile devices with drug reference software, although significant, is lower than in other clinical environments. Our results suggest that NH physicians who use mobile devices equipped with drug reference software believe they are helpful for reducing ADEs. Further research is needed to better characterize the facilitators and barriers to adoption of the technology in the NH and its precise impact on NH ADEs.

Indexed as

Nursing HomesAttitude to ComputersComputers, HandheldDrug Information ServicesDrug InteractionsDrug-Related Side Effects and Adverse ReactionsFemaleHumansMalePhysician ExecutivesPoint-of-Care SystemsSoftwareSurveys and QuestionnairesUnited Statesadverse drug eventsdrug-drug interactionshandheld computersm-Healthmobile devicesNursing homessmartphones

Identifiers

PMID24094901
PMCPMC4351260

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.