Economic Evaluation of an Investment in Medical Websites and Medical Web-Based Services



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16Variable Formation


Having formed the final sample of the 316 medical websites providing content in English language, the next step of the work involved the data collection from these websites according to the variables that needed to be formed for the statistical analysis. Through studying a well-established body of past literature, the evaluation criteria that were observed to be used in these past evaluation studies of medical websites were related to the accuracy and validity of the website content, the availability of the contact details of the website administrators, the website rating based on various traffic-flow based measurements and databases, the readability, the ease of use and the presence of the medical website in search engine as well as any certification that the website may have (Bomba, 2005;; Kim et al., 2011;; Zun et al., 2004; Silence et al., 2007a, 2007b, 2004; Morahan-Martin et al., 2004;Shepperd et al.,2002, Risk et al., 2002; Beynat, 2011).

The variables that formed the final dataset were chosen according to the rating/evaluation variables that were used in the extant literature for the evaluation of the medical websites and according to the scope of this research. Through the study of past literature, we identified the need to include variables concerning the certification of the websites, their loading time, the offering of interactive services, and their rank estimation based on various measurements, like their traffic flow on specific time interval (daily, monthly, weekly), and their reputation among the Internet users. These variables were considered core to the success and survivability of medical websites, since they can affect the user experience, the traffic, the popularity and in general, the excellence of the medical websites in order to produce valid and comprehensive research results. In contrast to the aims of the past research efforts, this research is not going to examine the user experience or the accuracy of the medical information provided on the World Wide Web. Instead, the presented research aims to examine the factors of success and the factors that lead to or enhance the survivability/and sustainability of medical websites from a business-oriented point of view, rather than focusing on subjective assessments of the quality of the information they provide.

Moreover, variables were formed to represent the current status of the medical websites (online/offline), the offering of interactive medical applications from the medical websites, the category in which the website belongs to, according to its content, and the nature of the organization that provides and/or supports the website. Furthermore, variables were formed to reflect also the activity of the medical websites in social networks, the offering of blogs/forums and other forms of online communities, the disclosure of any kind of financial information about the organization supporting them, evidence of any kind of certification awarded to the medical website from well-known organizations, and finally the actors (patient/user, stakeholders, providers) for whom the offered information and services by the medical websites have value.

Furthermore, by implementing a search strategy using syntax commands on the Google search engine, it was possible to retrieve the number of websites of any kind that are/were linked to a given medical website in the sample (target website), or include links of the target website in their content or list of affiliations, or even cite content of the target website/websites. In addition to the above, using information from the Alexa the Web Information Company (http://www.alexa.com/, accessed on 10/1/2012), it was possible to collect data about the average three-month global traffic rank of the medical websites, their reputation among the users of the Alexa-tools, the country from which the website receives the most visits, the time that the users spent on the website, and the loading time of the website and the percentage of the websites that are faster or have the loading same speed with the target website, the websites that the users visit before and after the target website, as well as the fraction of the total Internet users that have visited the website (three-month average) and the fraction of the visits to the medical website referred to from search engines. In addition to this, by using Web Rank SEO (Search Engine Optimization) tool provided as add-ons by Google for the Google Chrome Web Browser it was possible to enhance the estimation of the medical websites’ lifespan, previously estimated using WayBack machine, and also estimate the Google Rank and the “Facebook Likes” for the medical websites in the sample.




Alexa the Web Information Company is a leading provider of free web metrics. It is particularly known for the “Alexa Rank” – a comprehensive website ranking system which tracks over 30 million websites worldwide. The Alexa Rank is primarily used by website administrators to benchmark their websites and give consumers, marketers and advertisers metrics to evaluate websites for media buying, partnerships, and other business opportunities. Alexa’s traffic estimates are based on a diverse sample of millions of worldwide Internet users using thousands of different types of toolbars and add-ons for Google Chrome, Firefox, and Internet Explorer browsers (http://www.alexa.com/, accessed on 10/1/2012).

WebRank SEO is one of the highest ranked Google Chrome SEO extension. WebRank SEO provides to the individual users or websites’ administrators Website Ranks (Google Pagerank, Alexa Rank, Compete Rank and Quantcast Rank), traffic graphs, social statistics, pages indexed and backlinks in various search engines (Google and Bing).





Compete.com offers services that aim to deliver digital intelligence data to users and websites administrators, supported by industry-leading data management and technology. Compete.com services are using numerous and diverse sources to gather the data they offer. Furthermore, Compete.com holds the largest continuously updated consumer behaviour database in the industry.

Finally, by using also Compete.com website analytics, the number of the unique one–month average visits to each medical website were estmated only for the USA region. Comparing the data retrieved from Compete.com to those from Google tools, such as the Google Ad Planner’s unique visit data, those from Compete.com were not rounded up and in many cases were far more accurate so were considered more reliable to be used as a variable’s values in the statistical analysis. It should be noted that it was not possible to find the unique visits from the global Internet users, but only for the users based in the USA region. Since the majority of the users of the medical websites in the sample were from the USA this is not likely to cause any significant loss of validity of the models that will be applied in the following paragraphs.
Table 6 presents the newly formed variables, their subcategories and their type. The variable “Current status of the medical websites” refers to whether the websites in the sample can be online or offline. As mentioned before, by using the WayBack Machine service, it was possible to collect data even from currently offline medical websites. This particular synthesis of online and offline medical websites will provide a more comprehensive dataset for achieving the aims of the current research. These variables lead to a more accurate identification of success factors the lead to or enhance the survivability/and sustainability of the medical websites, as well as to a more accurate assessment of their impact measurement.

Table : Chosen variables and their classification



Variables

Subcategory

Type

Current status of the medical websites

Online/Offline

Categorical

Web-based Medical Services

Yes/No

Categorical

Category in which the medical website belongs to

N/A

Specific health issues

General Health/ Wellbeing

Drug Information



Medical Products

Senior/Children Health

Medical resources

Medical Education



Categorical

Nature of the Organization

Profit/ Not-Profit/ Governmental Organizations

Categorical

Ask a Doctor Online

Yes/No

Categorical

Find a doctor/local care

Yes/No

Categorical

Drug/ symptom checker

Yes/No

Categorical

Other web - based medical services

Yes/No

Categorical

Social Networks

Yes/No

Categorical

Facebook likes




Numeric

Financial Information

Yes/No

Categorical

Certification

Yes/No

Categorical

Blogs/Forums

Yes/No

Categorical

Value For

Patients-User’s/ Medical Providers/ Both

Categorical

Global Rank




Numeric

Google Rank




Numeric

Country of origin of the most visitors

Not Available/ USA/ Other

Categorical

Country of the most visitors Rank




Numeric

Reputation




Numeric

Fraction of website visits referred from search engines




Numeric

Unique Visits




Numeric

Lifetime




Numeric

Linked Websites




Numeric

Percentage of Internet users visited the medical website




Numeric

Websites visited before this medical website

Google.com/Other Website

Categorical

Websites visited after this medical website

Google.com/Other Website

Categorical

Time spent on medical website




Numeric

Load time

0= N/A

1= Fast


2= Average

3= Slow


Categorical

Percentage of faster or with same loading speed websites




Numeric

Source of revenue

N/A

Governmental Funding

Products/services/Shop

Donations/Sponsors/Support from non-profit org./Grants



Membership/registration

University Funding/Research/Project funding

Partners/Mother profit org.

Advertisements



Categorical

The variable “Medical Web-Based Services” refers to the offering of user-interactive applications embedded on the medical website, enabling the users to book online appointments, search for health conditions that match their potential symptoms, search drug interactions, post a question to or have a live chat session with a relevant medical specialist/practitioner, locate medical facilities and doctors in close proximity of their location, and use various healthcare index calculators such as body mass index and optimal weight calculators (BMI calculators) or even online mood diaries for psychological assessment or special online diaries for specific medications and/or healthcare conditions. Moreover the “Ask a Doctor Online”, “Find a doctor/local care”, “Drug/ symptom checker” and “Other web medical services” variables refer to the kind medical web-based services /services that might be offered by the medical websites to its users either for a fee or without any monetary charge.

The “Category in which the medical website belongs to” variable categorizes the medical websites in categories according to their content. During the process of the data collection for this specific variable, medical websites where found to have content related to:


  • general healthcare issues and advices to improve health and physical condition, thus these medical websites where categorised under the “General Health/ Wellbeing” subcategory

  • medical specialists’ articles on healthcare issues, care advices and effective treatments for the children or the elderly people, thus the medical websites having this kind of content where categorised under the “Senior/Children Health” subcategory

  • specific healthcare issues like long-term diseases or serious and life-threatening conditions, thus these medical websites where categorised under the “Specific health issue” subcategory

  • the promotion of medical products, commercial services and medical devices, thus these medical websites where categorised under the “Medical Products” subcategory

  • the offering of access to medical databases, libraries and journal archives, thus these medical websites where categorised under the “Medical Resources” subcategory

  • medical courses and educational material, thus these medical websites where categorised under the “Medical Education” subcategory

  • drug identification and efficiency, thus these medical websites where categorised under the “Drug Information” subcategory.

In addition to the aforementioned variable categories, the “Nature of the Organization” variable refers to the business cycle, operations, revenue source and administration of the organization that provides, supports and exploits the benefits from the medical website. This variable is divided into three major subcategories: “Profit”, “Non-Profit” and “Governmental” organizations. Although governmental organizations are considered as non-for-profit organizations, it was chosen to keep them in a separate category in order to extract more useful and comprehensive conclusions from the data analysis process. Since healthcare is a highly institutionalised sector, it was considered particularly interesting to observe the results on the medical websites provided by governmental organizations compared to those of the medical websites provided by profit or non-governmental-non-profit organisations.

Furthermore, the “Social Network” variable provides the active web presence and web 3.0 activity of the medical website on social networks such as Facebook, Twitter, while the “Facebook Likes” variable completes the set of this investigation by measuring how many Internet/social network users have accessed the profile of these medical websites on Facebook (which is the most popular and widespread social network) and provided them their ethical support.




Alexa’s global traffic rank estimate is a measure of how a website is performing relative to all other websites on the web over the past 3 months. The rank is calculated using a combination of the estimated average daily unique visitors to the website and the estimated number of page-views on the website over the past 3 months. The website with the highest combination of unique visitors and page-views is ranked #1 while the scale expands to a couple of millions for the lowest ranked websites (http://www.alexa.com/, accessed on 10/1/2012). Alexa's ranking methodology corrects for a large number of potential biases in the traffic sample and calculates the ranks accordingly. The normalisation is performed based on the geographic location of website visitors/users. The potential biases are corrected also in the demographic distribution of website visitors and in the data collected from all the various browser extensions to better represent those types of website visitors who might not be in Alexa's measurement panel (http://www.alexa.com/, accessed on 10/1/2012).

Google’s global rank estimation is estimated in a similar manner with only difference that is a scale with values between zero and ten, with the highest ranked websites being ranked near the #10 value.

Furthermore, the “Financial Information” variable refers to the web presence on a medical website of any reports or other evidence regarding the financial state and activities either of the medical website itself or of the organizations providing, maintaining and supporting it. The “Certification” variable refers to any honours, certifications or other accreditations that the medical websites might have from well-known organizations that certify their quality and integrity. The “Blogs/Forums” variable represents the web presence of blogs, forums or other expressions of online communities supported by the medical websites. The “Value for” variable refers to the audience the audience that the medical websites’ content is addressed to and has value for. “Global Rank”, “Reputation” and “Google Rank” variables are traffic-based estimations of the popularity of the medical websites provided by Alexa or Google.
The “Linked Websites” variable refers to the number of other websites (medical or not) that are linked to a given website/ target from the sample and include web links of the target website in their content or list of affiliations or even incluse content of the target website/websites. The “Lifetime” variable refers to the years that the medical website is/was online and active. The “Source of Revenue” refers to the business model that the medical websites in the sample were following to generate their revenue.

Finally, the rest of the variables referring to the time the users tend to spend on the medical website, the fraction of visits to the website that are referred from search engines, the loading time of the medical websites, as well as the percentage of the Internet websites that are having faster loading time than the target medical website.



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