| Title |
Analysis of spontaneous inquiries about suspected adverse drug reactions posted by the general public on the electronic Japanese bulletin board “Yahoo! Japan Chiebukuro”
|
|---|---|
| Published in |
Patient preference and adherence, April 2016
|
| DOI | 10.2147/ppa.s97143 |
| Pubmed ID | |
| Authors |
Akira Dobashi, Kaori Kurata, Mitsuhiro Okazaki, Mari Nishizawa |
| Abstract |
Spontaneous inquiries about the development of adverse drug reactions (ADRs) to medicines can be extracted based on the questions posted by the general public on the electronic Japanese bulletin board "Yahoo! Japan Chiebukuro". Our aim was to clarify the characteristics related to people's descriptions of suspected ADRs and determine the reasons for submitting a spontaneous inquiry. Fifty brand names of medicines used for inquiry extraction were chosen by selecting 35 pharmaceutical products, based on the generic names that had the highest sales in Japan. Questions containing both the brand name of one of these medicines and the term "Fukusayō" (ADR in Japanese) that were posted from July 2004 to June 2009 were extracted from the site. Among 1,419 questions extracted, 614 questions had at least one identifiable brand name of a suspected medicine, an ADR description, and the extent to which the ADR appeared to be caused by the suspected medicine(s). Among these 614 questions, 589 described in detail the symptoms/signs that the inquirers themselves or their families had experienced as ADRs. The highest number of questions was found for Paxil (525). Posts asking whether the symptoms being experienced were due to an ADR accounted for the highest number of questions. In most cases, the inquirer suspected that a single medicine led to an ADR and was seeking advice from others taking the same medicine. Our examination of spontaneous inquiries showed that people have sufficient knowledge to adequately report potential ADRs in terms of their symptoms, suspected medicines, and the disease for which the medicine was used. However, they often did not describe the start time when the ADR appeared or when the suspected medicine was started. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 25% |
| Student > Bachelor | 4 | 20% |
| Other | 3 | 15% |
| Unspecified | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 50% |
| Unspecified | 2 | 10% |
| Computer Science | 2 | 10% |
| Business, Management and Accounting | 1 | 5% |
| Psychology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 September 2023.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from Patient preference and adherence
#809
of 1,757 outputs
Outputs of similar age
#158,753
of 314,719 outputs
Outputs of similar age from Patient preference and adherence
#37
of 72 outputs
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