Evidence map›Paper›PMID 31952301›Full record

ArticlePharmacy (Basel, Switzerland)2020

Prevalence and Perceived Effectiveness of Pharmaceutical Digital Marketing among Community Pharmacies in Saudi Arabia: A Cross-Sectional Questionnaire-Based Survey.

Younes Ben Said, Nicola Luigi Bragazzi, Natalia Valeryevna Pyatigorskaya

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

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

3 authors.

Younes Ben SaidDepartment of Industrial Pharmacy, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Nicola Luigi BragazziDepartment of Mathematics and Statistics, York University, Toronto, ON M3J 1P3, Canada.
Natalia Valeryevna PyatigorskayaDepartment of Industrial Pharmacy, Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research analyzes the direct-to-consumer digital marketing technologies in terms of prevalence and effectiveness. A cross-sectional study design was carried out using the non-repeated random sampling technique. Standardized questionnaires were administered by means of face-to-face interviews or online via web software Sphinx (Python Documentation Generator). The relative importance of prevalence (RIP) and the mean evaluation of effectiveness (MEE) were determined for all studied digital media and for all the different groups of respondents (pharmaceutical sales representatives, community pharmacists, consumers, and the entire sample). Inter-individual differences in RIP and MEE were assessed by computing the coefficient of variation, whereas inter-group differences were determined by one-way analysis of variance (ANOVA) with the Scheffé test as a post-hoc test. Research findings showed that, according to the opinion of all respondents, pharmaceutical promotional tools were more prevalent on healthcare websites. However, all respondents considered social media networks and chat messengers to be the most effective in terms of marketing communication. In conclusion, the results of the present research enable a better understanding of which digital platforms are more often used as media for direct-to-consumer pharmaceutical promotion, and which ones are perceived as the most effective for marketing communication.

Indexed as

community pharmaciespharmaceutical digital marketingpharmaceutical sale representativespharmacy consumersprevalence and effectiveness of promotional tools

Identifiers

PMID31952301
PMCPMC7151668

What OpenQuestion holds

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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 OpenQuestion graph.