Usefulness of a Drug Information Resources Website (SAGASU-DI) Created Based on Inquiries to Clinical Pharmacists
1
Department of Clinical Pharmaceutics, Mie University Graduate School of Medicine, Mie University, Tsu 514-8507, Japan
2
Konan Pharmacy, Tsu 514-0315, Japan
3
Department of Pharmacy, Mie University Hospital, Tsu 514-8507, Japan
*
Author to whom correspondence should be addressed.
Healthcare 2022, 10(8), 1541; https://doi.org/10.3390/healthcare10081541
Submission received: 12 June 2022
/
Revised: 30 July 2022
/
Accepted: 11 August 2022
/
Published: 14 August 2022
(This article belongs to the Special Issue Pharmacist-Led Intervention)
Abstract
:The use of drug information is increasing as the role of pharmacists expands. However, pharmacists spend a huge amount of time collecting drug information, and there has not been any drug information resource website that aims to improve the efficiency of community pharmacists with regard to drug information operations. The purpose of this study was to evaluate the usefulness of a drug information resources website (SAGASU-DI). SAGASU-DI articles were created based on inquiries to clinical pharmacists. The usage statistics of the SAGASU-DI were monitored using Google Analytics between May and July 2021. In addition, a pop-up questionnaire was used to evaluate the usefulness of the SAGASU-DI in answering the questions of viewers. Statistics showed that our website had 25,447 users and 33,000 page views, with a browsing time of 29 s on average. Visitors accessed the website through desktop (51.9%) and mobile (44.3%) systems. Community pharmacists accounted for 40.2% of the visitors. The pop-up questionnaire showed that 23.2% of the viewers were satisfied with our website, and 1.5% of the viewers were not. Although 65.1% of the viewers refused to answer the questionnaire, the average percentage of the viewers who were satisfied with the site was 94.1%. The SAGASU-DI was found to be a valuable resource website for drug information services, mainly for community pharmacists.
1. Introduction
Pharmacists need to obtain appropriate drug information (DI) to help provide counsel to patients and physicians in clinical settings and form a foundation for pharmaceutical care that ensures appropriate medication use [1,2]. Therefore, pharmacists need to use DI resources such as accurate, latest, and credible articles.
Recently, medical knowledge has substantially increased, and the way to access DI has changed notably over the last few decades [3]. Printed resources are rapidly being replaced by online resources and mobile applications [3]. Moreover, Bates advocated for web-based DI resources to be at the forefront of the healthcare field owing to their value in enhancing safety and improving patient outcomes [4]. Indeed, 70% of the pharmacists who practice in both hospital and community settings responded that the DI resource most frequently used in their pharmacy was electronic [5]. This finding indicates that electronic resources often provide evidence that can be used to quickly resolve queries.
Traditionally, the main role of community pharmacists has been to prepare medications based on prescriptions after checking dosage and administration, drug and food interactions, and side effects [6,7]. Currently, the Japanese government is promoting a “community-based integrated care system” and a “family pharmacist system” [7,8] and urging the community pharmacists to change their services from product-centered care to patient-centered care. However, community pharmacists have little time to collect DI because they need to perform patient-centered care in addition to the various services that they usually perform [9].
Google Analytics is an open service launched by Google in November 2005 and provides free quantitative data on website usage. This tool is designed to understand targets and their needs from a marketing perspective. To date, Google Analytics has also been used in health research as a process evaluation of web-based interventions using numerous variables related to webpage traffic [10]. To our knowledge, there has not been any DI resource website that aims to improve the efficiency of community pharmacists in carrying out DI operations, and the application of Google Analytics for the evaluation of web-based DI has not yet been reported.
Therefore, in this study, we built and launched a DI website (SAGASU-DI) for community pharmacists on the Internet. Currently, the total number of views on the SAGASU-DI is over 1.5 million.
The purpose of our study was to evaluate the usefulness of the SAGASU-DI as a DI resource website developed by community pharmacists with experience in DI operations in hospitals using Google Analytics and questionnaires to verify whether the site is useful for DI work.
2. Materials and Methods
Design and setting: In this study, we investigated the web traffic of the SAGASU-DI for three months (1 May–31 July 2021). The study population included all users on the website. The website was evaluated using Google Analytics data and a pop-up questionnaire. The SAGASU-DI was created by Konan Pharmacy (Mie, Japan) in October 2016 and has been continually updated by adding new documents on DI. It is a freely accessible web (https://sagasudi.com accessed on 1 May 2021) with 616 documents in Japanese and English. The documents in Japanese can be translated to English using the automatic translation function implemented on the website. The documents were managed by a pharmacist with 3 years of experience as a hospital pharmacist and 10 years of experience as a community pharmacist. The questions of Q&A documents on the website were created based on inquiries about the drug information (DI) received by Konan Pharmacy from doctors, pharmacists, nurses, nursing home staff, and patients. The answers in Q&A documents were created based on reliable information sources such as “prescribing information”, which are official documents in accordance with the Pharmaceutical Affairs Law, and the interview forms, which are drug instruction manuals for pharmacists prepared by pharmaceutical companies at the request of the Japan Hospital Pharmaceutical Association. The documents were edited to be concise so that users could obtain the DI efficiently. The documents consist of four main categories: (1) formulation property (106 documents); (2) medical news (the outlines of mechanisms and characteristics regarding new drugs and the latest information on medical care, 272 documents); (3) questions and answers (Q&A) on DI (31 documents); and (4) pharmaceutical law and reimbursement (207 documents). Each document contained a question and an answer to provide a clear overview of the topic. The documents were updated whenever there were any changes in the contents. Examples of documents on the website are shown in Table 1 (A: formulation property; B: medical news; C: Q&A on DI; D: pharmaceutical law and reimbursement).
Google Analytics and data collection: We installed Google Analytics by adding a tracking tag to the SAGASU-DI in October 2016. The tag allows for the collection of various types of data about user behavior when visiting our website. The information is summarized in a real-time, interactive dashboard format, which can be accessed by logging in. The Google Analytics data are displayed as aggregated and do not contain any personally identifiable data, making it an accessible tool without ethical concerns [11].
We collected data comprising the following metrics: the number of visits (n), the total number of page views (n), mean browsing time (seconds), bounce rate (%), job category (n), access methods (n), the type of devices used to access, and the time of day the site was visited. The bounce rate was defined as the percentage of only a single page visit during a session. The questionnaire on the job category of viewers was displayed before browsing the website documents. The types of jobs included “hospital pharmacist”, “community pharmacist”, “other pharmacist”, “practitioner”, “hospital doctor”, “dentist”, “nurse”, “medical student”, “others” and “non-medical staff”. Access methods were classified as direct links (typing the web URL directly into a browser), organic search (entry through a search engine), referrals through another website, and social media.
Time to display the pop-up window: We investigated the time during which a pop-up window was displayed for viewers to answer the pop-up questionnaire. Since the pilot investigation indicated that the actual time to browse the SAGASU-DI was 26, 27, and 29 s per month over the last three months, the pop-up window was set to 20, 25, or 30 s after viewing the document every two days. Then, we determined the optimal time taken to show the pop-up window.
Pop-up questionnaire: The pop-up questionnaires were as follows: “It was useful for my question”, “It was not useful for my question”, and “I could not read the whole text”, to evaluate the usefulness of the SAGASU-DI to viewers. The viewers were able to avoid answering the questionnaire by clicking the “Cancel” button in the pop-up window or by clicking outside the window.
The protocol to construct the SAGASU-DI and the flowchart of the user survey are shown in Figure 1.
3. Results
3.1. Overall Engagement
The main characteristics of the SAGASU-DI data obtained from 1 May to 31 July are reported in Table 2. The total number of visits and page views increased per month for three months. An average of 25,447 users visited our website, and community pharmacists accounted for 40.2% (Table 3). On average, 33,000 pages were viewed, with an average browsing time of 29 s. The average bounce rate was 90.0%. Of the total 99,000 pages viewed on the website, 49,241 (49.7%) consisted of the following 30 documents: 15 documents related to pharmaceutical law and reimbursement, 10 to formulation properties, 3 to Q&A on DI, and 2 to medical news. Organic search accounted for the highest proportion (mean, n = 24,200, 94.8%) of all visits to our website, followed by direct link (mean, n = 1042, 4.1%), referral from other websites (mean, n = 272, 1.1%), and social media (mean, n = 16, 0.06%). Our website was accessed mostly through desktop (mean, n = 13,199, 51.9%) and mobile (mean, n = 11,266, 44.3%) systems. The number of users that accessed the website based on the day of the week and time of day are shown in Figure 2 (day of the week, Figure 2a; time of day, Figure 2b). At the median, over 1000 users visited the site on weekdays, and more than 60 users visited the site from 9 a.m. to 5 p.m.
3.2. Time to Display Pop-Up Window
The results of investigating the appropriate time taken to display the pop-up window are shown in Table 4. The number of page views had no differences between the three times (20 s, n = 2497; 25 s, n = 2340; 30 s, n = 2394); however, the number of displays decreased as the time to display the pop-up window increased (20 s, n = 1061; 25 s, n = 912; 30 s, n = 894). The percentage of each answer to the pop-up questionnaire did not show any difference between the three times. Based on this finding, the evaluation of the pop-up questionnaire was set to 20 s after the documents were displayed.
3.3. Evaluation of the Utility of the SAGASU-DI
A survey on the satisfaction of users is shown in Table 5. Of the total number of page views for 3 months, 47.4% of viewers answered the pop-up questionnaire. On average, 23.2% of viewers were satisfied with our website, and 1.5% of the viewers were not. An average of 13.8% of viewers did not read the whole text, and an average of 61.5% of viewers canceled the questionnaire. Of the viewers who evaluated our website, an average of 94.1% of viewers were satisfied with our website.
4. Discussion
The SAGASU-DI had a total of 25,447 users, with 33,000 page views, a browsing time of 29 s on average, and a 90.0% bounce rate. Indeed, 94.1% of the viewers who evaluated our website were satisfied with it. Our findings indicated that the SAGASU-DI, which was created based on inquiries to clinical pharmacists, is valuable as a DI service.
To date, several studies have utilized Google Analytics as a tool to evaluate health websites [12,13,14,15,16,17,18,19]; however, the tool should be used with careful consideration. For example, Isenor et al. reported that a website related to DI for pharmacy students had more than 5000 users per month [20]. Moreover, a website relating to specific diseases has an average of 2441 to 9016 page views per month [15,18,19]. Compared with these websites, our website showed 25,447 users and 33,000 page views. This could probably be because our website consists of a broad DI in various medical fields. Currently, it is difficult to compare the results across various interventions because the number of users and page views are not defined [21,22]. However, there was a huge increase in the number of users and pageviews over the three months analyzed (Table 2). Therefore, our website can be considered an in-demand website for DI resources.
Since the number of drugs entering the market is increasing compared with that in the past, it is difficult to remember detailed information on drugs [23]. Currently, there are increasing opportunities for community pharmacists to receive questions about DI from patients and medical staff [24,25]. In a few surveys, it has been reported that community pharmacists often access DI centers through the Internet [25,26]. In this study, half the 99,000 total pages viewed were questions commonly asked in clinical practice regarding pharmaceutical law, insurance reimbursement, and formulation properties. In addition, the users, including 40% of community pharmacists, visited our website using a desktop or mobile device throughout their working hours on weekdays. It can be assumed that users retrieve information from our website to answer questions from patients or medical staff during working hours.
It is difficult to establish the criteria for website efficacy since various periods of time are used for the evaluation of websites serving different purposes. However, some studies have used the bounce rate and browsing time to evaluate the efficacy of websites [17,27,28]. On our website, the bounce rate and browsing time were 90% and 29 s, respectively. Users often need to interact with web pages to obtain the information they need; hence, there are some cases with low bounce rates. However, a high bounce rate could mean that users exited the website because they had immediately found what they were looking for, but it could also mean that users exited the site because it did not meet their expectations [19]. Moreover, there are some limitations with browsing time as a means of evaluation because it allows for multiple interpretations. For example, a large number of pages could result in an increased browsing time [19]. Thus, the investigation of only the bounce rate and browsing time is insufficient to clarify the utility of our website. Therefore, we utilized the pop-up questionnaire. The results showed that 94.1% of the viewers who answered the questionnaire were satisfied with our website. One of the main reasons for this could be that the SAGASU-DI documents were prepared based on inquiries to clinical pharmacists. This result indicated that the SAGASU-DI is a website that pharmacists can help to find DI quickly in clinical practice. However, this study might have a selection bias since the response rate to the pop-up questionnaire was 38.5%.
Our study is the first investigation to focus on the usefulness of a website for the services of pharmacists; however, some limitations of the study need to be considered. First, the data collection via Google Analytics could be slightly inaccurate because a new client ID is given every time, and the user may delete browser cookies, switches devices, or use a different browser [28,29,30]. Second, 61.5% of viewers did not respond to the pop-up questionnaire. One of the reasons may probably be that viewers browsed our website during busy working times and did not have enough time to answer the question. In the medical literature, the response rates for pop-up and web survey questionnaires have generally been reported to be 4.3% and 23.4%, respectively [12,26]. In our study, 47.4% of viewers answered the pop-up questionnaires, which is much higher than past data; therefore, it seems that the response rate is enough to consider the opinions of viewers. Third, users may be Japanese primarily because the website was created in the Japanese language. However, in this study, the users, except for Japanese people, would have been counted because the automatic translation function was implemented on the website. Forth, the protocol to validate the answers was not included in the construction process of the SAGASU-DI, and the references for the answers are listed in each Q&A document. Moreover, errors in the answers have not been pointed out until now. Finally, the number of users of this website seemed to be limited; however, in fact, a total of 61,576 people accessed the website over a three-month period, and the occupations included not only pharmacy pharmacists but also hospital pharmacists, physicians, nurses, medical office staff, medical students, etc.
5. Conclusions
We revealed that the SAGASU-DI created based on inquiries to clinical pharmacists is a valuable resource website for DI services. However, in this study, we were not able to conclude its usefulness for community pharmacists because the percentage of community pharmacists that visited the site was 40%. In the future, we plan to build a new website for community-pharmacist-only membership and solicit inquiry content from pharmacist members belonging to various pharmacies to evaluate its usefulness for community pharmacists.
Author Contributions
Conceptualization, T.M. and H.K.; methodology, T.M. and H.K.; software, T.M.; validation, T.M., H.K., H.S. and T.I.; formal analysis, T.M.; investigation, T.M.; resources, T.M.; data curation, T.M. and H.S.; writing—original draft preparation, T.M. and H.K.; writing—review and editing, T.M., H.K. and T.I.; visualization, T.M.; supervision, T.I.; project administration, T.I.; funding acquisition, T.I. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Ethical approval was not required.
Informed Consent Statement
Patient consent was waived due to participating patients could not be identified.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Yamamoto, T.; Yuda, T.; Arimoto, A.; Sejima, E.; Kawahara, Y.; Washiyama, A.; Futagami, K. Evaluation of a Practical Training Program for Drug Information Services for Fifth-year Pharmacy Students in a Hospital. Yakugaku Zasshi 2011, 131, 1621–1628. [Google Scholar] [CrossRef] [PubMed]
- Almazrou, D.A.; Ali, S.; Alzhrani, J.A. Assessment of Queries Received by the Drug Information Center at King Saud Medical City. J. Pharm. Bioallied Sci. 2017, 9, 246–250. [Google Scholar] [CrossRef] [PubMed]
- Ghaibi, S.; Ipema, H.; Gabay, M. ASHP guidelines on the pharmacist’s role in providing drug information. Am. J. Health Syst. Pharm. 2015, 72, 573–577. [Google Scholar] [CrossRef] [PubMed]
- Bates, D.W. The quality case for information technology in healthcare. BMC Med. Inform. Decis. Mak. 2002, 2, 7. [Google Scholar] [CrossRef] [PubMed]
- Carvajal, M.J.; Clauson, K.A.; Gershman, J.; Polen, H.H. Associations of gender and age groups on the knowledge and use of drug information resources by American pharmacists. Pharm. Pract. 2013, 11, 71–80. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. The Role of the Pharmacist in the Health Care System: 4.2—Community Pharmacy. Published 1994. Available online: https://apps.who.int/iris/bitstream/handle/10665/59169/WHO_PHARM_94.569.pdf?sequence=1 (accessed on 6 June 2022).
- Ministry of Health, Labour and Welfare. Future Vision of Pharmacists. 2013. Available online: https://www.nichiyaku.or.jp/assets/pdf/vision.pdf (accessed on 6 June 2022).
- Ministry of Health, Labour and Welfare. Pharmacy Vision for Patients ~From “Nearby” to “Family Practice” and Then to “Community” October 2015. 2015. Available online: https://www.mhlw.go.jp/file/04-Houdouhappyou-11121000-Iyakushokuhinkyoku-Soumuka/vision_1.pdf (accessed on 6 June 2022).
- Japan Hospital Pharmacists Association. How to Carry Out Drug Information Operations 2018. 2018. Available online: https://www.jshp.or.jp/banner/guideline/20220512-5.pdf (accessed on 6 June 2022).
- Bhattacharya, A.; Hopkins, S.; Sallis, A.; Budd, E.L.; Ashiru-Oredope, D. A process evaluation of the UK-wide Antibiotic Guardian campaign: Developing engagement on antimicrobial resistance. J. Public Health 2017, 39, e40–e47. [Google Scholar] [CrossRef]
- Google Support. Analytics Policies—Analytics Help. Available online: https://support.google.com/analytics/answer/4597324 (accessed on 6 June 2022).
- Eggen, R.; Tjensvoll, K.; Nylenna, M. Examining the use of an open digital health library for professionals. JMIR Res. Protoc. 2014, 3, e66. [Google Scholar] [CrossRef]
- Davies, B.; Kotter, M. Lessons From Recruitment to an Internet-Based Survey for Degenerative Cervical Myelopathy: Comparison of Free and Fee-Based Methods. JMIR Res. Protoc. 2018, 7, e18. [Google Scholar] [CrossRef] [PubMed]
- Ng, A.H.; Crowe, T.C.; Ball, K.; Rasmussen, B. A mHealth Support Program for Australian Young Adults with Type 1 Diabetes: A Mixed Methods Study. Digit. Health 2019, 5, 2055207619882179. [Google Scholar] [CrossRef]
- Young, V.L.; Rajapandian, V.; Eley, C.V.; Hoekstra, B.A.; Lecky, D.M.; McNulty, C.A. Monitoring Web Site Usage of e-Bug: A Hygiene and Antibiotic Awareness Resource for Children. JMIR Res. Protoc. 2015, 4, e131. [Google Scholar] [CrossRef]
- Johnson, H.M.; LaMantia, J.N.; Brown, C.M.; Warner, R.C.; Zeller, L.M.; Haggart, R.C.; Stonewall, K.; Lauver, D.R. My Hypertension Education and Reaching Target (MyHEART): Development and Dissemination of a Patient-Centered Website for Young Adults with Hypertension. JMIR Cardio 2017, 1, e5. [Google Scholar] [CrossRef] [PubMed]
- Bordin, P.; Melot, B.; Tralli, V.; Bertoni, C.; Moretti, F.; Siddu, A.; Baldo, V.; Bonanni, P.; Castiglia, P.; Majori, S.; et al. Six years of activity of the Italian vaccine portal “VaccinarSi”: A web traffic evaluation using Google Analytics. Ann. Ig. 2021, 33, 109–122. [Google Scholar] [CrossRef]
- Mowforth, O.D.; Davies, B.M.; Kotter, M.R. The Use of Smart Technology in an Online Community of Patients With Degenerative Cervical Myelopathy. JMIR Form. Res. 2019, 3, e11364. [Google Scholar] [CrossRef] [PubMed]
- Song, M.J.; Ward, J.; Choi, F.; Nikoo, M.; Frank, A.; Shams, F.; Tabi, K.; Vigo, D.; Krausz, M. A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics. JMIR Ment. Health 2018, 5, e50. [Google Scholar] [CrossRef] [PubMed]
- Isenor, J.E.; Helwig, M.; Weale, M.B.; Bowles, S.K. Evaluation of the experiences and needs of users of a drug information resources website. J. Med. Libr. Assoc. 2020, 108, 270–277. [Google Scholar] [CrossRef] [PubMed]
- Crutzen, R.; Roosjen, J.L.; Poelman, J. Using Google Analytics as a process evaluation method for Internet-delivered interventions: An example on sexual health. Health Promot. Int. 2013, 28, 36–42. [Google Scholar] [CrossRef] [PubMed]
- Vona, P.; Wilmoth, P.; Jaycox, L.H.; McMillen, J.S.; Kataoka, S.H.; Wong, M.; DeRosier, M.E.; Langley, A.K.; Kaufman, J.; Tang, L.; et al. A web-based platform to support an evidence-based mental health intervention: Lessons from the CBITS web site. Psychiatr. Serv. 2014, 65, 1381–1384. [Google Scholar] [CrossRef]
- George, B.; Rao, P. Assessment and evaluation of drug information services provided in a South Indian teaching hospital. Indian J. Pharmacol. 2005, 37, 315–319. [Google Scholar] [CrossRef]
- Shrestha, S.; Khatiwada, A.P.; Gyawali, S.; Shankar, P.R.; Palaian, S. Overview, Challenges and Future Prospects of Drug Information Services in Nepal: A Reflective Commentary. J. Multidiscip. Healthc. 2020, 13, 287–295. [Google Scholar] [CrossRef]
- Behera, S.K.; Xavier, A.S.; Gunaseelan, V.; Ravindra, B.K.; Selvarajan, S.; Chandrasekaran, A.; Dkhar, S.A. Drug information center as referral service in a South Indian tertiary care hospital. Int. J. Pharm. Investig. 2017, 7, 182–187. [Google Scholar] [CrossRef]
- Doi, H.; Yamato, M.; Ohsawa, M.; Nakagawa, N.; Chonan, K.-I. Relevance between Methods of Obtaining Drug Information and the Utilization of the Information in Community Pharmacies–Research on Awareness of Drug Information of “Increased Risk of Developing Diabetes in Patients Treated with HMG-CoA Reductase Inhibitors” in Community Pharmacies. Yakugaku Zasshi 2020, 140, 1185–1193. [Google Scholar] [CrossRef] [PubMed]
- Abdel-Dayem, M.A.; Brown, D.A.; Haray, P.N. Empowering patients and educating staff—An online solution for the COVID era and beyond! Ann. Med. Surg. 2021, 65, 102238. [Google Scholar] [CrossRef] [PubMed]
- Clark, D.J.; Nicholas, D.; Jamali, H.R. Evaluating information seeking and use in the changing virtual world: The emerging role of Google Analytics. Learn. Publ. 2014, 27, 185–194. [Google Scholar] [CrossRef]
- Google Analytics—Cookies and User Identification. Available online: https://developers.google.com/analytics/devguides/collection/analyticsjs/cookies-user-id (accessed on 6 June 2022).
- Google Analytics Cookie Usage on Websites. Available online: https://developers.google.com/analytics/devguides/collection/analyticsjs/cookie-usage (accessed on 6 June 2022).
Figure 1.
Protocol to construct the SAGASU-DI and flowchart of user survey.
Figure 2.
Day of week and time of day the SAGASU-DI was visited: (a) access counts of the SAGASU-DI relative to the day of week; (b) access counts of the SAGASU-DI relative to the time of day.
Figure 2.
Day of week and time of day the SAGASU-DI was visited: (a) access counts of the SAGASU-DI relative to the day of week; (b) access counts of the SAGASU-DI relative to the time of day.
Table 1.
Examples of the website documents.
| Category | Question | Answer |
|---|---|---|
| (1) Formulation property | What is the difference between heavy magnesium oxide and light magnesium oxide? | Most of the magnesium oxide used in medicine is heavy magnesium oxide.
|
| (2) Medical news | What are the characteristics of Rybelsus® (Semaglutide) Tablets (Oral glucagon-like peptide-1(GLP-1)) Summary |
A. Rybelsus® tablets are formulated with the additive Salcaprozate sodium (SNAC), an absorption enhancer, which prevents the breakdown of the drug in the stomach and facilitates the absorption of the ingredients. Since Rybelsus® is a drug that is difficult to absorb by nature and is only absorbed through the stomach, it is easily affected by food. |
| (3) Q&A on DI | Is Teneligliptin affected by food? | The effect of food on the AUC and the 24 h post-dose value of Teneligliptin is small, and it is expected to be effective whether it is administered on an empty stomach or after a meal, so it is unlikely to be affected by food. Therefore, the drug should be taken once a day at a fixed time. (Citation: Tenelia® (Teneligliptin) Tablet Interview Form) |
| (4) Pharmaceutical law and reimbursement | What are the restrictions on the number of prescription days for Belsomra® (Suvorexant) | Belsomra® (Suvorexant) does not fall under the “Cabinet Order Designating Narcotic Drugs, Narcotic Plants, Psychotropic Drugs, and Psychotropic Substances” in Japan; therefore, there is no specific limit to the number of days Belsomra® (Suvorexant) can be prescribed. Eszopiclone, Ramelteon, and Rilmazafone also have no restrictions on the number of days of prescription. |
Rybelsus®, Novo-Nordisk, Plainsboro Township, NJ, USA; Tenelia®, Mitsubishi Tanabe Pharma Corporation, Tokyo, Japan; Belsomra®, Merck, Darmstadt, Germany.
Table 2.
Data collection using Google Analytics.
| Item | May 2021 | June 2021 | July 2021 | Mean | |
|---|---|---|---|---|---|
| Number of visits (n) | 19,962 | 26,056 | 30,324 | 25,447 | |
| Total number of pages views (n) | 26,176 | 34,106 | 38,718 | 33,000 | |
| Mean browsing time (seconds) | 28 | 30 | 30 | 29 | |
| Bounce rate (%) | 90.1 | 90.0 | 89.8 | 90.0 | |
| Access methods, n (%) | |||||
| Organic search | 18,767 (93.8%) | 24,869 (95.1%) | 28,966 (95.2%) | 24,201 (94.8%) | |
| Directly | 1004 (5.0%) | 1009 (3.9%) | 1113 (3.7%) | 1042 (4.1%) | |
| Referral from other websites | 229 (1.1%) | 279 (1.1%) | 309 (1.0%) | 272 (1.1%) | |
| Social media | 9 (0.04%) | 4 (0.02%) | 36 (0.12%) | 16 (0.06%) | |
| Type of devices used for access, n (%) | |||||
| Desktop | 10,878 (54.7%) | 13,819 (52.9%) | 14,899 (49.3%) | 13,199 (51.9%) | |
| Mobile | 8236 (41.4%) | 11,345 (43.4%) | 14,217 (47.1%) | 11,266 (44.3%) | |
| Tablet | 786 (4.0%) | 979 (3.7%) | 1098 (3.6%) | 954 (3.8%) | |
Table 3.
Job category of SAGASU-DI users.
| Job Category | Users (n = 16,158), n (%), May 2021 | Users (n = 21,262), n (%), June 2021 | Users (n = 24,156), n (%), July 2021 | Mean |
|---|---|---|---|---|
| Community pharmacist | 6881 (42.6%) | 8516 (40.1%) | 9326 (38.6%) | 8241 (40.2%) |
| Hospital pharmacist | 2247 (13.9%) | 3212 (15.1%) | 3483 (14.4%) | 2981 (14.5%) |
| Non-medical staff | 1690 (10.5%) | 2552 (12.0%) | 3289 (13.6%) | 2510 (12.2%) |
| Others | 1394 (8.6%) | 1946 (9.2%) | 2261 (9.4%) | 1867 (9.1%) |
| Medical clerk | 1144 (7.1%) | 1312 (6.2%) | 1504 (6.2%) | 1320 (6.4%) |
| Nurse | 839 (5.2%) | 1198 (5.6%) | 1458 (6.0%) | 1165 (5.7%) |
| Hospital doctor | 760 (4.7%) | 901 (4.2%) | 1005 (4.2%) | 889 (4.3%) |
| Practitioner | 460 (2.8%) | 476 (2.2%) | 571 (2.4%) | 502 (2.4%) |
| Other pharmacist | 404 (2.5%) | 542 (2.5%) | 634 (2.6%) | 527 (2.6%) |
| Medical student | 292 (1.8%) | 518 (2.4%) | 523 (2.2%) | 444 (2.2%) |
| Dentist | 47 (0.3%) | 89 (0.4%) | 102 (0.4%) | 79 (0.4%) |
Table 4.
Answers from viewers to the pop-up questionnaire for two days in the three groups relative to the timing of displaying the pop-up window.
Table 4.
Answers from viewers to the pop-up questionnaire for two days in the three groups relative to the timing of displaying the pop-up window.
| Item | 20 s | 25 s | 30 s |
|---|---|---|---|
| Page views (n) | 2497 | 2340 | 2394 |
| Display (n) | 1061 | 912 | 894 |
| “It was useful to my question”, n (%) | 279 (26.3%) | 233 (25.5%) | 249 (27.9%) |
| “It was not useful to my question”, n (%) | 9 (0.8%) | 13 (1.4%) | 9 (1.0%) |
| “I could not read the whole text”, n (%) | 143 (13.5%) | 114 (12.5%) | 126 (14.1%) |
| “Cancel”, n(%) | 630 (59.4%) | 552 (60.5%) | 510 (57.0%) |
Table 5.
Answers from viewers to the pop-up questionnaire for 3 months.
| Item | Views (n = 12,315), n (%), May 2021 | Views (n = 16,349), n (%), June 2021 | Views (n = 18,276), n (%) July 2021 | Mean |
|---|---|---|---|---|
| “It was useful to my question”, n (%) | 3091 (25.1%) | 3809 (23.3%) | 4008 (21.9%) | 3636 (23.2%) |
| “It was not useful to my question”, n (%) | 150 (1.2%) | 265 (1.6%) | 274 (1.5%) | 230 (1.5%) |
| “I could not read the whole text”, n (%) | 1575 (12.8%) | 2365 (14.5%) | 2539 (13.9%) | 2160 (13.8%) |
| “Cancel”, n (%) | 7499 (60.9%) | 9910 (60.6%) | 11,455 (62.7%) | 9621 (61.5%) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Murasaka, T.; Kato, H.; Sudo, H.; Iwamoto, T. Usefulness of a Drug Information Resources Website (SAGASU-DI) Created Based on Inquiries to Clinical Pharmacists. Healthcare 2022, 10, 1541. https://doi.org/10.3390/healthcare10081541
AMA Style
Murasaka T, Kato H, Sudo H, Iwamoto T. Usefulness of a Drug Information Resources Website (SAGASU-DI) Created Based on Inquiries to Clinical Pharmacists. Healthcare. 2022; 10(8):1541. https://doi.org/10.3390/healthcare10081541
Chicago/Turabian StyleMurasaka, Toshiki, Hideo Kato, Hirofumi Sudo, and Takuya Iwamoto. 2022. "Usefulness of a Drug Information Resources Website (SAGASU-DI) Created Based on Inquiries to Clinical Pharmacists" Healthcare 10, no. 8: 1541. https://doi.org/10.3390/healthcare10081541
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
