Evidence map›Paper›PMID 37113680›Full record

ArticleJournal of advances in medical education & professionalism2023

Design, Development and Evaluation of an Application based on Clinical Decision Support Systems (CDSS) for Over-The-Counter (OTC) Therapy: An Educational Interventions in Community Pharmacists.

Parva Paydar, Shole Ebrahimpour, Hanieh Zehtab Hashemi, Mehdi Mohamadi, Soha Namazi

Open access · greenAbstract read
In one paragraph

Article in Journal of advances in medical education & professionalism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pharmacist-led responses to headache and insomnia symptoms: A simulated patient study.Exploratory research in clinical and social pharmacy · 2026
    Article
  4. Article
  5. 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 at 2 institutions in 1 country.

Parva PaydarClinical Pharmacy Department, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Shole EbrahimpourClinical Pharmacy Department, Faculty of Pharmacy, Alborz University of Medical Sciences, Alborz, Iran.
Hanieh Zehtab HashemiHealth Informatics Department, Virtual University of Medical Sciences, Tehran, Iran.
Mehdi MohamadiClinical Pharmacy Department, Faculty of Pharmacy, Alborz University of Medical Sciences, Alborz, Iran.
Soha NamaziClinical Pharmacy Department, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mobile health (mHealth) technology-based applications provide strong medical health-care support. Applications have an important impact as tools to improve the knowledge and support the health-care team practice. In this study, an over-the-counter (OTC) therapy application was developed based on Clinical Decision Support Systems (CDSS). CDSS is a key to improve health-related decisions and healthcare delivery. Furthermore, the quality and effectiveness of this application were evaluated among community pharmacists. Methods: The application was designed and developed for 10 topics of OTC therapy. After the approval of the expert panel, 40 pharmacists affiliated with Tehran University of Medical Science (TUMS) participated in this before and after quasi-experimental study. The related scenarios and checklists were designed for the ten topics. The participants had to manage the scenarios first by their knowledge and then with the application. The knowledge and pharmaceutical skills in OTC therapy were evaluated based on the obtained scores and the time recorded. The quality of the application was evaluated by pharmacists using user version of mobile application rating scale (uMARS) questionnaire. To compare before/after measurements of parametric and non-parametric data, we used the paired t-test and Wilcoxon matched-pairs test, respectively. Besides, the variables was compared using Mann-Whitney test. The statistical significance was considered at P<0.05. The analyses were performed using the statistical software Stata (ver. 13). Results: All scores after using the application increased, and the P-value was not significant. Also, the recorded time was increased after the use of the application, and the P-value was not significant. The minimum mean scores of the six uMARS questionnaire sections were 3. It means that acceptable scores were obtained in all sections of the questionnaire. The "App quality score" section of the application was reported 3.45±0.94. No relationship was found between gender and the median score of each section of the uMARS questionnaire. Conclusion: The OTC therapy application developed in this study will help Persian-speaking pharmacists to increase their knowledge and pharmaceutical skills.

Indexed as

Clinical decision supportsMobile applicationMobile healthNon-prescription drugPharmacist

Identifiers

PMID37113680
PMCPMC10126714
OpenAlexW4367320892

What OpenQuestion holds

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LicenceCC BY-ND
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.