Evidence map›Paper›PMID 35909714›Full record

ArticleExploratory research in clinical and social pharmacy2022

Data-enriched edible pharmaceuticals (DEEPs): Patients' preferences, perceptions, and acceptability of new dosage forms and their digital aspects - An interview study.

Meie Chao, Natalja Genina, Netta Beer, Sofia Kälvemark Sporrong

Abstract read
In one paragraph

Article in Exploratory research in clinical and social pharmacy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

4 authors.

Meie ChaoDepartment of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.
Natalja GeninaDepartment of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.
Netta BeerDepartment of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.
Sofia Kälvemark SporrongDepartment of Pharmacy, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the field of pharmaceuticals, there is a shift away from the traditional "one-size-fits-all" concept to a more patient-centered one. A potential approach to obtain personalized medicine is with printed Data-Enriched Edible Pharmaceuticals (DEEPs). DEEPs that are printed in the pattern of QR codes contain both the patient-tailored dose and data that can be used to give patients personalized drug information and combat counterfeit medicines. Objectives: The study aims to explore patients' preferences, perceptions, and acceptability of DEEPs, and the digital aspects of them. Methods: Thirteen participants, living in Denmark, were interviewed twice using a semi-structured approach. Interviews were conducted face-to-face or via video calls. The interviews were transcribed, translated, and analyzed using thematic coding analysis. Results: The participants found it useful to participate in the design of their own medicine. The orodispersible nature of DEEPs and the possibility to select color, embedded images, flavors, and physical dimensions of DEEPs were considered beneficial for patients' adherence. Patients' personal preferences, convenience, and aesthetics were the main drivers for their favored design of DEEPs. The acceptability of digital healthcare in connection to DEEPs was found to be related to the participants' level of digital literacy. Conclusions: The participants generally had a positive attitude towards DEEPs and the digital aspects of them. However, to accept digital healthcare in connection to DEEPs, it should be adaptable and easy to use for everyone. The combination of digital healthcare and on-demand fabricated DEEPs could potentially contribute to higher patient adherence and safety in the future.

Indexed as

Additive manufacturingPatient-designed medicinePatient preferencesPersonalized medicineQR-codesQualitative interviews

Identifiers

PMID35909714
PMCPMC9335929

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.