Evidence map›Paper›PMID 31172193›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

Selection biases in technology-based intervention research: patients' technology use relates to both demographic and health-related inequities.

Tammy Toscos, Michelle Drouin, Jessica Pater, Mindy Flanagan, Rachel Pfafman, Michael J Mirro

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

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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.

Tammy ToscosParkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Michelle DrouinPurdue University Fort Wayne, Fort Wayne, Indiana, USA.
Jessica PaterParkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Mindy FlanaganParkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Rachel PfafmanParkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.
Michael J MirroParkview Mirro Center for Research and Innovation, Fort Wayne, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveResearchers conduct studies with selection biases, which may limit generalizability and outcomes of intervention research. In this methodological reflection, we examined demographic and health characteristics of implantable cardioverter defibrillator patients who were excluded from an informatics intervention due to lack of access to a computer and/or the internet. MATERIALS AND

methodsUsing information gathered from surveys and electronic health records, we compared the intervention group to excluded patients on demographic factors, computer skills, patient activation, and medical history.

resultsExcluded patients were older, less educated, less engaged and activated in their health, and had worse health (ie, more medical comorbidities) than nonexcluded patients. DISCUSSION: Although excluded from the intervention based solely on lack of access to a computer and/or internet, excluded patients may have needed the intervention more because they were sicker with more comorbidities.

conclusionResearchers must be mindful of enrollment biases and demographic and health-related inequities that may exist during recruitment for technology-based interventions.

Indexed as

Biomedical ResearchDefibrillators, ImplantableDigital DivideHealth Status DisparitiesPatient SelectionSelection BiasAdolescentAdultAgedAged, 80 and overElectronic Health RecordsFemaleHumansInformaticsMaleMiddle Agedhealth characteristicsinformaticsmethodologyresearch inequitytechnology use

Identifiers

PMID31172193
PMCPMC7647239

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.