Evidence map›Paper›PMID 35910072›Full record

ArticleProceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2018

User Insights for Design of an Antihypertensive Medication Management Application.

Kenneth A Blocker, Kathleen C Insel, Jeannie K Lee, Qiong Nie, Abidemi Ajuwon, 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, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Kenneth A BlockerUniversity of Illinois at Urbana-Champaign, Champaign, IL.
Kathleen C InselUniversity of Arizona, Tucson, AZ.
Jeannie K LeeUniversity of Arizona, Tucson, AZ.
Qiong NieUniversity of Illinois at Urbana-Champaign, Champaign, IL.
Abidemi AjuwonUniversity of Arizona, Tucson, AZ.
Wendy A RogersUniversity of Illinois at Urbana-Champaign, Champaign, IL.

Funding

Medication Education, Decision Support, Reminding and Monitoring System (MEDSReM)R21NR016285 · NINR · UNIVERSITY OF ARIZONA · PI INSEL, KATHLEEN C · 2017 to 2018
$422k
NINR NIH HHS R21 NR016285
6 · The paper itself

Abstract

Hypertension is the most common chronic disease affecting older adults (65+) in the United States. Unfortunately, many struggle to adhere to their antihypertensive medications as only about half diagnosed with the disease have it controlled. Therefore, there is a need for designing supportive medication management systems to aid this population with their antihypertensive medications, especially using increasingly adopted technologies such as smartphones. The preferences of older adults with hypertension must be considered when designing such systems for this population. Six older adults participated in structured interviews to inform the design of the Medication Education, Decision Support, Reminding and Monitoring System (MEDSReM). Results revealed management needs, design insights, and reminder preferences, as well as mostly positive opinions regarding technology use for medication management. These findings informed the development of MEDSReM with the goal of supporting older adults in successfully managing their antihypertensive medications.

Identifiers

PMID35910072
PMCPMC9335513

What OpenQuestion holds

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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.