Evidence map›Paper›PMID 35436216›Full record

ArticleJournal of medical Internet research2022

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

Edwin Lauritz Fundingsland, Joseph Fike, Joshua Calvano, Jeffrey Beach, Deborah Lai, Shuhan He

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  6. Internet interventions · 2025
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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

6 authors.

Edwin Lauritz FundingslandDepartment of Emergency Medicine, Homer Stryker MD School of Medicine, Western Michigan University, Kalamazoo, MI, United States.ORCID 0000-0002-7100-7555
Joseph FikeDepartment of Physical Medicine and Rehabilitation, Medical Center, University of Nebraska, Omaha, NE, United States.ORCID 0000-0003-4043-2185
Joshua CalvanoDepartment of Anesthesiology and Critical Care, University of New Mexico Hospital, Albuquerque, NM, United States.ORCID 0000-0003-3938-2336
Jeffrey BeachCollege of Osteopathic Medicine, Rocky Vista University, Parker, CO, United States.ORCID 0000-0002-2599-9725
Deborah LaiDivision of Psychology and Language Sciences, University College London, London, United Kingdom.ORCID 0000-0003-2542-4793
Shuhan HeCenter for Innovation in Digital HealthCare, Lab of Computer Science, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0002-9902-5077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

InternetSoftwareDelivery of Health CareHumansconversion rateGoogle Analyticshealthcare industryhealthcare websitesinternet browsersusabilityuser demographicsweb analyticswebsite contentwebsite engagementwebsite trafficwebsite usability

Identifiers

PMID35436216
PMCPMC9055485

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.