“But doctor, I googled it!”: The “three Rs” of managing patients in the age of information overload

Mundluru, Shankar N.; Werbaneth, Katherine; Therkelsen, Kate E.; Larson, Allison R.; Santini, Veronica

doi:10.1016/j.clindermatol.2018.08.002

Cited by 11 publications

(7 citation statements)

References 3 publications

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“…Nevertheless, all the videos analyzed underestimated the TCA effects on fertility. To guide Internet users for properly using online materials, Mundluru et al 30 proposed the "three Rs" approach: reassure, redirect, and refer. Reassure is explaining to patients what they read about online may not apply to them, cause all patients have their particularities.…”

Section: Discussionmentioning

confidence: 99%

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Testicular cancer and YouTube: What do you expect from a social media platform?

et al. 2022

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To evaluate the quality information on testicular cancer uploaded on YouTube TM videos. Methods: YouTube TM videos were searched using "Testicular cancer" as a keyword. The Patient Education Materials Assessment Tool, the Misinformation scale, and the DISCERN tool were used to assess the quality information of YouTube TM videos on testicular cancer. Results: According to the selection criteria, 121 YouTube TM videos were collected for the analysis and stratified according to uploading year (2009-2014 vs 2015-2020). According to the Patient Education Materials Assessment Tool for audio-visual content, the overall Understandability score was 60% (interquartile range 45.5-75) and the overall Actionability score was 100% (interquartile range 66.7-100). According to the Misinformation scale, the lowest median was recorded for item 6 ("Effects on fertility") and the overall median Misinformation score was 2 (interquartile range 1.3-2.8). No statistically significant differences were observed according to uploading year (all P > 0.05). Of all, only 54 (44.6%) videos mentioning treatment were subsequently analyzed. Of these videos, the overall Understandability was 71.4% (interquartile range 56.3-84.6) and the overall Actionability was 100% (interquartile range 66.7-100). The overall Misinformation score was 2.8 (interquartile range 2.2-3.5). The median DISCERN score recorded for question 16 was 5 (interquartile range 3-5). Conclusions: YouTube TM is a fast and open-access source for mass information. The overall quality of the testicular cancer contents provided is sadly unsatisfactory, in the present likewise in the past. However, YouTube TM videos mentioning treatment options showed higher quality content, than the remaining one. Nevertheless, all the videos analyzed underestimated the testicular cancer effects on fertility. Nowadays, YouTube TM cannot be recommended as a reliable source of information on testicular cancer.

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Section: Discussionmentioning

confidence: 99%

“…Nevertheless, all the videos analyzed underestimated the TCA effects on fertility. To guide Internet users for properly using online materials, Mundluru et al 30 . proposed the “three Rs” approach: reassure, redirect, and refer.…”

Section: Discussionmentioning

confidence: 99%

Testicular cancer and YouTube: What do you expect from a social media platform?

et al. 2022

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“…Mundluru, et al [174] explored and proposed a strategy for performing these encounters using "three Rings" (reassure, redirect, refer), the ethnological problems inherent in communicating with clinicians who use the Internet for medical purposes. Adequate evaluation and categorization of patients in addition to the interests and wishes of patients will help doctors understand how to use the three Rs of patient care and aspirations.…”

Section: ) Based On the Amount Of Evidencementioning

confidence: 99%

Solution for Information Overload Using Faceted Search–A Review

et al. 2020

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In the modern society, Internet provides massive amounts of heterogeneous information, hence Information overload has become an ubiquitous issue. In this paper, we conduct a large scale quantitative study for articles dealing with (1) information overloading; (2) faceted search; and (3) filtering the data in three major databases, namely, Web of Science, ScienceDirect, and IEEE Explore. These three databases have presented 172 articles, which can be classified into four categories. The first category contains review and survey papers related to information overload. The second category includes papers that concentrate on developing theoretical frameworks to reduce information overloading. The third category contains papers dealing with improving structure or architectural of software for filtering the huge data. The fourth category includes papers that provide criteria to evaluate filtering techniques. Finally, our contribution provides further understanding of information overload, and gives an important basis for future research. Moreover, we illustrate that the dynamic faceted filters are more efficient to reduce the information overload.

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“…Physicians have long been concerned about the wide use of “Dr. Google” and the difficulties of responding to patients who demand unproven or unnecessary tests and therapies they found out about online [1, 2]. Data from a 2013 national survey conducted by the Pew Research Center indicate that one in three American adults have gone online specifically to try to figure out what medical condition they or someone else might have [3].…”

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confidence: 99%

“…Free access to vast amounts of medical information has many benefits, but if patients rely on inaccurate, outdated, or erroneous information to manage their health, it can lead to unnecessary anxiety and stress, medical mistakes, and bad outcomes. Several published studies recommend that physicians assume the responsibility of directing patients to quality online health information resources [2, 4]. A 2014 study concludes that “it is important to have a centralized ‘physician-certified’ online resource to which physicians could readily refer their patients without concern that they are receiving unreliable or misleading information” [5].…”

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confidence: 99%

What can we do about Dr. Google? Using the electronic medical record (EMR) to prescribe reliable online patient education

Volk

Obeid

2019

jmla

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Objective: The project enabled clinicians to utilize the electronic medical record (EMR) to easily prescribe preapproved online patient education resources to their patients.Background: Physicians and other clinicians are concerned about the wide use of “Dr. Google” and the difficulties of responding to patients who demand unproven or unnecessary tests and therapies they found out about on the Internet.Setting/Participants/Resources: Participants were providers at a large health system using Epic EMR. The institution maintains a web-based database that links to print and electronic patient education materials that have been vetted by content experts.Methods: Clinicians worked with librarians to create web pages that link to the resources they recommend for their patients. Librarians collaborated with the information technology (IT) department to implement a solution that enables clinicians to quickly and easily send the uniform resource locator (URL) to the after visit summary (AVS) or as a message via the patient portal.Results: This solution has been implemented in more than 20 units across the institution. Analytics data demonstrate that the majority of patients in a surgery clinic visited recommended resources.Conclusion: This simple solution is effective in directing patients to reliable resources. It can be easily adapted by other institutions using an EMR system such as EPIC or Cerner.Virtual Projects are published on an annual basis in the Journal of the Medical Library Association (JMLA) following an annual call for virtual projects in MLAConnect and announcements to encourage submissions from all types of libraries. An advisory committee of recognized technology experts selects project entries based on their currency, innovation, and contribution to health sciences librarianship.

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“But doctor, I googled it!”: The “three Rs” of managing patients in the age of information overload

Cited by 11 publications

References 3 publications

Testicular cancer and YouTube: What do you expect from a social media platform?

Testicular cancer and YouTube: What do you expect from a social media platform?

Solution for Information Overload Using Faceted Search–A Review

What can we do about Dr. Google? Using the electronic medical record (EMR) to prescribe reliable online patient education

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