Evidence map›Paper›PMID 36532106›Full record

ArticleProceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2022

Designing Feedback Visualizations for Anti-Hypertensive Medication Adherence for Older Adults.

Qiong Tina Nie, Daniel G Morrow, Wendy A Rogers

Abstract read
In one paragraph

Article in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Qiong Tina NieUniversity of Illinois Urbana-Champaign.
Daniel G MorrowUniversity of Illinois Urbana-Champaign.
Wendy A RogersUniversity of Illinois Urbana-Champaign.

Funding

Improving Hypertension Medication Adherence for Older AdultsR01NR018469 · NINR · UNIVERSITY OF ARIZONA · PI LEE, JEANNIE KIM, ROGERS, WENDY A · 2020 to 2024
$3.1M
NINR NIH HHS R01 NR018469
6 · The paper itself

Abstract

Adhering to anti-hypertensive medications contributes to control of blood pressure and improved health outcomes. However, adherence rates among older adults are low. Patient monitoring of medication taking helps increase adherence and technology has great potential to support self-monitoring, in part by providing visual feedback about medication taking performance. However, little attention has been paid to designing feedback visualizations in medication-monitoring technology for older adults. In this research, we identified guidelines for designing understandable and effective adherence visualizations for older adults from existing theories and literature. With the guidelines in mind, we designed, refined, and evaluated visualizations that provided adherence feedback for a smartphone application with 17 older participants. Based on theory and evidence, we identified design guidelines for feedback visualizations. These guidelines can support design of useful feedback visualizations that may improve medication adherence among older adults.

Identifiers

PMID36532106
PMCPMC9756795

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.