Evidence map›Paper›PMID 40206667›Full record

ReviewMayo Clinic proceedings. Digital health2024

MedHerent: Improving Medication Adherence in Older Adults With Contextually Sensitive Alerts Through an Application That Adheres to You.

Andrew Nguyen, Saumya Uppal, Mikaela Mendoza Pereira, Andreea Pluti, Lisa Gualtieri

Abstract readReview
In one paragraph

Review in Mayo Clinic proceedings. Digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Andrew NguyenTufts University School of Medicine, Boston, MA.
Saumya UppalTufts University School of Medicine, Boston, MA.
Mikaela Mendoza PereiraTufts University School of Medicine, Boston, MA.
Andreea PlutiTufts University School of Medicine, Boston, MA.
Lisa GualtieriTufts University School of Medicine, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication adherence has long been viewed as a patient issue, but what if we shift this perspective? What if medications could adjust to the needs and context of patients, instead of the other way around? We used design thinking to create a contextually sensitive digital health mobile application to improve medication adherence in older adults. We define contextual sensitivity as sensitivity to the context of patient needs. Through persona and scenario ideation, interviews, evaluations of existing solutions, prototypes, and consultations with subject matter experts, we uncovered key barriers to medication adherence. We outline 4 key challenges: alert fatigue, poor health literacy, lack of social support, and lack of behavior change and motivation, which are specific to older adults. The resulting application features reminders and alerts, a dashboard and calendar, educational resources, social sharing, and reward features. These 5 elements emphasize the significance of design thinking, contextual sensitivity, trimodal alerts, and co-interventions in developing effective digital health solutions for medication adherence among older adults.

Identifiers

PMID40206667
PMCPMC11975706

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.