Evidence map›Paper›PMID 40327173›Full record

ArticleJournal of medical systems2025

Designing a Real-Time Medication Intake and Adherence Dashboard: Features, Functionality, and Data Display to Meet the Needs of Patients, Care Partners and Healthcare Providers.

Sadaf Faisal, Bincy Baby, Devine Samoth, Faisal Ghaffar, Yusra Aslam, Alexander Stavropoulos, Brent McCready-Branch, Ghada Elba, Jasdeep Kaur Gill, Prapti Choudhuri and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2025. 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

11 authors.

Sadaf FaisalSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Bincy BabySchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Devine SamothSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Faisal GhaffarSystem Design Engineering Department, University of Waterloo, Waterloo, ON, Canada.
Yusra AslamSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Alexander StavropoulosSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Brent McCready-BranchSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Ghada ElbaSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Jasdeep Kaur GillSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Prapti ChoudhuriSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada.
Tejal PatelSchool of Pharmacy, University of Waterloo, Kitchener, ON, Canada. t5patel@uwaterloo.ca.ORCID http://orcid.org/0000-0003-3002-8306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the key features, utilities, and functionalities of an adherence dashboard so that patients, care partners, and healthcare providers can effectively use it to identify and improve medication nonadherence. A qualitative study was conducted in four stages. In Stage 1, semi-structured interviews and focus groups were conducted with patients, care partners, and healthcare providers after showing existing dashboards to gain feedback and determine their needs and preferences for the dashboard. In Stage 2, data gathered from Stage 1 were used to develop paper prototypes. In Stage 3, these prototypes were evaluated by participants to refine the design. Finally, in Stage 4, a framework for the key components of the adherence dashboard was developed based on user feedback. Some of the key features identified include individualized medication adherence, overall adherence summaries, customizable notifications, real-time data visualization, and integration with existing healthcare systems such as electronic health records (EHR). Participants also highlighted the importance of intuitive design, ease of navigation, secure data handling, and the ability to customize the dashboard according to user preferences. This study identifies key features and functionalities and provides a user-centered framework for designing a real-time medication adherence dashboard tailored to the needs of patients, caregivers, and healthcare providers. Future work will focus on developing a fully functional dashboard, integrating it into clinical practice, and evaluating its effectiveness in improving medication adherence.

Indexed as

Data DisplayMedication AdherenceUser-Computer InterfaceElectronic Health RecordsFemaleFocus GroupsHealth PersonnelHumansInterviews as TopicMaleQualitative ResearchAdherenceDashboardFeaturesFunctionalitiesMedicationUtilities

Identifiers

PMID40327173

What OpenQuestion holds

Textmetadata
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.