Evidence map›Paper›PMID 23981848›Full record

ArticleJournal of medical Internet research2013

A method for the design and development of medical or health care information websites to optimize search engine results page rankings on Google.

Suzanne Dunne, Niamh Maria Cummins, Ailish Hannigan, Bill Shannon, Colum Dunne, Walter Cullen

Abstract readValidation Study
In one paragraph

Article in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Plastic Surgery Search Engine Optimization in the Artificial Intelligence Era.Plastic and reconstructive surgery. Global open · 2026
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  3. Observational
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  6. Online Support Groups for Family Caregivers: Scoping Review.Journal of medical Internet research · 2023
    Article
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  17. [Comprehensibility of online-based patient education material in ophthalmology].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2017
    Article
  18. Article
  19. Article
  20. Article
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.

Suzanne DunneGraduate Entry Medical School, University of Limerick, Limerick, Ireland. suzanne.dunne@ul.ie
Niamh Maria Cummins
Ailish Hannigan
Bill Shannon
Colum Dunne
Walter Cullen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Internet is a widely used source of information for patients searching for medical/health care information. While many studies have assessed existing medical/health care information on the Internet, relatively few have examined methods for design and delivery of such websites, particularly those aimed at the general public.

objectiveThis study describes a method of evaluating material for new medical/health care websites, or for assessing those already in existence, which is correlated with higher rankings on Google's Search Engine Results Pages (SERPs).

methodsA website quality assessment (WQA) tool was developed using criteria related to the quality of the information to be contained in the website in addition to an assessment of the readability of the text. This was retrospectively applied to assess existing websites that provide information about generic medicines. The reproducibility of the WQA tool and its predictive validity were assessed in this study.

resultsThe WQA tool demonstrated very high reproducibility (intraclass correlation coefficient=0.95) between 2 independent users. A moderate to strong correlation was found between WQA scores and rankings on Google SERPs. Analogous correlations were seen between rankings and readability of websites as determined by Flesch Reading Ease and Flesch-Kincaid Grade Level scores.

conclusionsThe use of the WQA tool developed in this study is recommended as part of the design phase of a medical or health care information provision website, along with assessment of readability of the material to be used. This may ensure that the website performs better on Google searches. The tool can also be used retrospectively to make improvements to existing websites, thus, potentially enabling better Google search result positions without incurring the costs associated with Search Engine Optimization (SEO) professionals or paid promotion.

Indexed as

InternetSearch EngineRetrospective Studiesgeneric drugsGooglehealth care informationInternetmedical informaticspatient educationquality assessmentwebsite development

Identifiers

PMID23981848
PMCPMC3758043

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.