Evidence map›Paper›PMID 38983639›Full record

ArticleExploratory research in clinical and social pharmacy2024

Digital health in pharmacy education: Elective practical course integrating wearable devices and their generated health data.

Florian Kinny, Sabina Schlottau, Bushra Ali Sherazi, Emina Obarcanin, Stephanie Läer

Abstract read
In one paragraph

Article in Exploratory research in clinical and social pharmacy, 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. Review
  6. A novel model describing blood pressure profiles.Frontiers in cardiovascular medicine · 2025
    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.

Florian KinnyHeinrich-Heine University Duesseldorf, Institute of Clinical Pharmacy and Pharmacotherapy, Universitaetsstr. 1, 40225 Duesseldorf, Germany.
Sabina SchlottauHeinrich-Heine University Duesseldorf, Institute of Clinical Pharmacy and Pharmacotherapy, Universitaetsstr. 1, 40225 Duesseldorf, Germany.
Bushra Ali SheraziHeinrich-Heine University Duesseldorf, Institute of Clinical Pharmacy and Pharmacotherapy, Universitaetsstr. 1, 40225 Duesseldorf, Germany.
Emina ObarcaninHeinrich-Heine University Duesseldorf, Institute of Clinical Pharmacy and Pharmacotherapy, Universitaetsstr. 1, 40225 Duesseldorf, Germany.
Stephanie LäerHeinrich-Heine University Duesseldorf, Institute of Clinical Pharmacy and Pharmacotherapy, Universitaetsstr. 1, 40225 Duesseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The widespread adoption of wearable devices (wearables) for monitoring vital signs, including blood pressure and glucose levels, has experienced a considerable surge in recent times. This surge has led to the generation of a substantial amount of health data, accessible to pharmacists during patient consultations as the healthcare sector advances in digitalization. To enhance the digital competencies of future pharmacists required by the rapidly changing digital health landscape, the Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich Heine University (HHU) Duesseldorf has developed an innovative elective practical course aimed to bolster pharmacy students' competencies in handling wearables and the health data generated. The three-week practical elective course employed wearables FreeStyle Libre® 3 (Continuous Glucose Monitoring, CGM) and Aktiia (Cuffless Blood Pressure Monitoring). The hands-on activities allowed participants to obtain and interpret wearable-generated health-related data and acquainted them with simulated patient cases. Final-year pharmacy students' subjective assessments before and after the course depicted the increased knowledge and competence regarding analysing wearables data.

Indexed as

CGMEducationmHealthPharmaceutical careWearables

Identifiers

PMID38983639
PMCPMC11231589

What OpenQuestion holds

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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.