Evidence map›Paper›PMID 26869756›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2016

Electronic medical record and glaucoma medications: connecting the medication reconciliation with adherence.

Thomas S Bacon, Kenneth C Fan, Manishi A Desai

Open access · goldAbstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Thomas S BaconDepartment of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA.
Kenneth C FanDepartment of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA.
Manishi A DesaiDepartment of Ophthalmology, Boston University School of Medicine, Boston Medical Center, Boston, MA, USA.
Boston Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate consistency in documentation of glaucoma medications in the electronic medical record and identify which regimen patients adhere to when inconsistencies exist. Factors contributing to medication nonadherence are also explored.

methodsRetrospective chart review of medication adherence encompassing 200 patients from three glaucoma physicians at a tertiary referral center over a 1-month period. Adherence was determined by the consistency between a patients stated medication regimen and either the active medication list in the electronic medical record, or the physicians planned medication regimen in the preceding clinic visit. Patient charts were also reviewed for patient sex, age, primary language, race, and total number of medications.

resultsA total of 160 charts showed consistency in documentation between the physician note and electronic medication reconciliation. Of those patients, 83.1% reported adherence with their glaucoma medication schedule. When there was a discrepancy in documentation (40 charts), 72.5% patients followed the physician-stated regimen vs 20% who followed neither vs 7.5% who followed the medical record (P<0.01). No difference in adherence was observed based on sex (P=0.912) or total number of medications taken (P=0.242). Language, both English- (P=0.075) and Haitian (P=0.10) -speaking populations, as well as race, Caucasian (P=0.31), African-American (P=0.54), and Hispanic (P=0.58), had no impact on medication adherence. Patients over 80 years of age were more nonadherent as compared to other decades (P=0.04).

conclusionInconsistent documentation between the electronic medical record physician note and medication regimen may contribute to patient medication nonadherence. Patients over 80 years of age were associated with higher rates of nonadherence, while sex, total number of medications, race, and language had no interaction with medication adherence.

Indexed as

demographicselectronic medical recordglaucomamedication reconciliation

Identifiers

PMID26869756
PMCPMC4734787
OpenAlexW2275589788

What OpenQuestion holds

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LicenceCC BY-NC
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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.