Evidence map›Paper›PMID 21347032›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010

Creating and Evaluating a Dynamic Study Randomization and Enrollment Tool within a Robust EHRs.

Nareesa A Mohammed-Rajput, Nyoman W Ribeka, Sylvester Kimaiyo, Martin C Were

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nareesa A Mohammed-RajputRegenstrief Institute, Inc., Indianapolis, IN;
Nyoman W Ribeka
Sylvester Kimaiyo
Martin C Were

Funding

PHITPO CDC HHS R18 HK000058
6 · The paper itself

Abstract

Randomized trials are difficult to perform in resource-limited settings. We developed a Randomization and Enrollment Tool (RET) within a live EHRs which automated enrollment, randomization, and data-collection in support of robust EHRs-based randomized interventions. We describe an observational assessment of RET which we piloted at three Kenyan HIV clinics for a decision support trial. We manually evaluated RET's adequacy and accuracy in its core functions. RET enrolled 327/6626 patients, 100% meeting criteria based on EHRs data. Human reviews reveal that only 250 patients (76.5%) should have been enrolled as the EHRs contained inaccurate data for the other 77 (23.4%). 23 eligible patients were also missed through sole reliance on EHRs data. 18 (5.5%) RET-enrolled patients never received the intervention because of missed appointments. An automated randomization tool has potential to reduce human and financial costs of conducting EHRs-based randomized trials, but remains vulnerable to data quality and workflow limitations.

Indexed as

Random AllocationHumans

Identifiers

PMID21347032
PMCPMC3041308

What OpenQuestion holds

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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.