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Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial

With the growing importance of communicating with the public via the web, many industries have used web analytics to provide information that organizations can use to better achieve their goals. Although the importance of health care websites has also grown, the health care industry has been slower...

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Detalles Bibliográficos
Autores principales: Fundingsland Jr, Edwin Lauritz, Fike, Joseph, Calvano, Joshua, Beach, Jeffrey, Lai, Deborah, He, Shuhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055485/
https://www.ncbi.nlm.nih.gov/pubmed/35436216
http://dx.doi.org/10.2196/28291
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author Fundingsland Jr, Edwin Lauritz
Fike, Joseph
Calvano, Joshua
Beach, Jeffrey
Lai, Deborah
He, Shuhan
author_facet Fundingsland Jr, Edwin Lauritz
Fike, Joseph
Calvano, Joshua
Beach, Jeffrey
Lai, Deborah
He, Shuhan
author_sort Fundingsland Jr, Edwin Lauritz
collection PubMed
description With the growing importance of communicating with the public via the web, many industries have used web analytics to provide information that organizations can use to better achieve their goals. Although the importance of health care websites has also grown, the health care industry has been slower to adopt the use of web analytics. Web analytics are the measurement, collection, analysis, and reporting of internet data used to measure direct user interaction. Our objective is to provide generalized methods for using web analytics as key performance metrics to evaluate websites and outline actionable recommendations for improvement. By deconstructing web analytic categories such as engagement, users, acquisition, content, and platform, we describe how web analytics are used to evaluate websites and how improvements can be made using this information. Engagement is how a user interacts with a website. It can be evaluated using the daily active users to monthly active users (DAU/MAU) ratio, bounce rate, pages viewed, and time on site. Poor engagement indicates potential problems with website usability. Users pertains to demographic information regarding the users interacting with a website. This data can help administrators understand who is engaging with their website. Acquisition refers to the overall website traffic and the method of traffic, which allows administrators to see how people are accessing their website. This information helps websites expand their methods of attracting users. Content refers to the overall relevancy, accuracy, and trustworthiness of a website’s content. If a website has poor content, it will likely experience difficulty with user engagement. Finally, platform refers to the technical aspects of how people access a website. It includes both the internet browsers and devices used. By providing detailed descriptions of these categories, we have identified how web administrators can use web analytics to systematically assess their websites. We have also provided generalized recommendations for actionable improvements. By introducing the potential of web analytics to augment usability and the conversion rate, we hope to assist health care organizations in better communicating with the public and therefore accomplishing the goals of their websites.
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spelling pubmed-90554852022-05-01 Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial Fundingsland Jr, Edwin Lauritz Fike, Joseph Calvano, Joshua Beach, Jeffrey Lai, Deborah He, Shuhan J Med Internet Res Tutorial With the growing importance of communicating with the public via the web, many industries have used web analytics to provide information that organizations can use to better achieve their goals. Although the importance of health care websites has also grown, the health care industry has been slower to adopt the use of web analytics. Web analytics are the measurement, collection, analysis, and reporting of internet data used to measure direct user interaction. Our objective is to provide generalized methods for using web analytics as key performance metrics to evaluate websites and outline actionable recommendations for improvement. By deconstructing web analytic categories such as engagement, users, acquisition, content, and platform, we describe how web analytics are used to evaluate websites and how improvements can be made using this information. Engagement is how a user interacts with a website. It can be evaluated using the daily active users to monthly active users (DAU/MAU) ratio, bounce rate, pages viewed, and time on site. Poor engagement indicates potential problems with website usability. Users pertains to demographic information regarding the users interacting with a website. This data can help administrators understand who is engaging with their website. Acquisition refers to the overall website traffic and the method of traffic, which allows administrators to see how people are accessing their website. This information helps websites expand their methods of attracting users. Content refers to the overall relevancy, accuracy, and trustworthiness of a website’s content. If a website has poor content, it will likely experience difficulty with user engagement. Finally, platform refers to the technical aspects of how people access a website. It includes both the internet browsers and devices used. By providing detailed descriptions of these categories, we have identified how web administrators can use web analytics to systematically assess their websites. We have also provided generalized recommendations for actionable improvements. By introducing the potential of web analytics to augment usability and the conversion rate, we hope to assist health care organizations in better communicating with the public and therefore accomplishing the goals of their websites. JMIR Publications 2022-04-15 /pmc/articles/PMC9055485/ /pubmed/35436216 http://dx.doi.org/10.2196/28291 Text en ©Edwin Lauritz Fundingsland Jr, Joseph Fike, Joshua Calvano, Jeffrey Beach, Deborah Lai, Shuhan He. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.04.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Tutorial
Fundingsland Jr, Edwin Lauritz
Fike, Joseph
Calvano, Joshua
Beach, Jeffrey
Lai, Deborah
He, Shuhan
Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial
title Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial
title_full Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial
title_fullStr Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial
title_full_unstemmed Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial
title_short Methodological Guidelines for Systematic Assessments of Health Care Websites Using Web Analytics: Tutorial
title_sort methodological guidelines for systematic assessments of health care websites using web analytics: tutorial
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9055485/
https://www.ncbi.nlm.nih.gov/pubmed/35436216
http://dx.doi.org/10.2196/28291
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