Abstract
Medical misinformation (MM) is a problem for both medical practitioners and patients in the 21st century. Medical practitioners have anecdotally reported encounters with patient-held misinformation, but to date we lack evidence that quantifies this phenomenon. We surveyed licensed practitioners in the state of North Carolina to better understand how often patients mention MM in the clinical setting, and if medical practitioners are trained to engage with patients in these specific conversations. We administered an anonymous, online survey to physicians and physician assistants licensed to practice in the state of North Carolina. Questions focused on demographics, clinical encounters with MM, and training to discuss MM with patients. We received over 2800 responses and analyzed 2183 after removing ineligible responses. Our results showed that most respondents encountered MM from patients (94.2% (2047/2183)), with no significant differences between clinical specialty, time spent in practice, or community type. When asked about specific training, 18% (380/2081) reported formal experiences and 39% (807/289) reported informal experiences. MM has been salient due to the COVID-19 pandemic; however, it was present before and will remain after the pandemic. Given that MM is widespread but practitioners lack training on engaging patients in these conversations, a sustained effort to specifically train current and future practitioners on how to engage patients about MM would be an important step toward mitigating the spread of MM.
Keywords: medical misinformation, healthcare quality, provider training, medical education, shared decision making
Introduction
With access to the internet available in many pockets and purses, the spread of information throughout the world has never been faster or easier.1 This is also true for misinformation or information that is demonstrably false in comparison to scientific consensus but which may have been shared with or without an intent to deceive others.2 Misinformation is present in many arenas, including discussion of politics, environmental issues, and health care; when it occurs in connection with health, health care, or medicine, we can refer to the phenomenon as medical misinformation (MM). MM may also be called health-related misinformation.3 The onset of the COVID-19 pandemic has heightened the public salience of MM. This was evident not only in news headlines4 but also in commentary and perspective pieces in scientific journals.5,6 The consequences of MM pose challenges for both patients and the overall public, which is especially prominent in public knowledge of vaccines, statins, and the COVID-19 pandemic.7-9
Social science has responded to misinformation in various ways, such as monitoring inaccurate claims in media outlets2,10 or studying misperception correction.11,12 Regarding MM specifically, Wang et al. recently published a systematic review focusing on the spread of health-related misinformation through social media,3 and Kouzy et al. analyzed specific tweets on COVID-19 to track misinformation on the pandemic.13 In addition to peer-reviewed literature, we can point to anecdotal reports and small sample studies of practitioner concern about MM, and encouragement for health care professionals to engage with patients on this topic now appears in a variety of sources.14-23
Despite this attention to MM, we have been unable to find sufficient population-level evidence of how often medical practitioners encounter MM directly from patients in while clinical settings. We also do not know the extent to which clinicians have received training to engage patients in conversations regarding misinformation, such as lectures, webinars, workshops, or informal advice from mentors. Available literature largely has not reported on clinician preparation for such situations. To obtain baseline data for how often MM is a factor in practitioner–patient exchanges, we surveyed practitioners licensed with a state medical board in North Carolina, USA. North Carolina is a diverse state on many levels. Geographically, residents live in mountain, coastal, or piedmont regions. In these regions, rural, urban, or suburban communities are found. The medical workforce of North Carolina is also diverse, not only across specialties but also among the different types of practitioners: physicians, physician assistants (PAs), nurses, nurse practitioners, pharmacists, etc. All of these practitioners speak with patients on a daily basis. For these reasons, North Carolina serves as an excellent microcosm to examine the exchange of MM between patients and practitioners.
The goal of this pilot study is to contribute data in the growing MM field on the following 3 questions: (1) Do licensed practitioners experience MM from patients in the clinical setting? (2) What types of MM do patients raise in the clinical setting? (3) Are licensed practitioners adequately trained to engage patients in conversations specifically about MM?
Methods
We created an anonymous, online survey to assess frequency and content of MM encounters, as well as training among physicians and PAs (herein referred to collectively as practitioners). In the survey, we defined MM as “information that is factually inaccurate or not supported by current evidence-based medical literature and/or practices.” The survey was comprised of 22 questions to gauge how long participants had been in practice, the type of community in which they practice, and field of specialty (Supplementary Appendix 1). Questions relating to practitioner experience with MM were based on respondents’ own perceptions and recall. Practitioners in the Duke Academy for Health Professions Education and Academic Development initially assessed survey usability and functionality prior to fielding with our target population. We received permission to administer the survey to all licensed practitioners in the state of North Carolina from the North Carolina Medical Board (NCMB) and contacted practitioners via email. Duke University School of Medicine staff administered the survey over 3 weeks in May 2020 using RedCap. The Duke Health Institutional Review Board designated the survey as exempted research. Practitioners voluntarily submitted complete or partially complete responses. No compensation was provided, and responses were de-identified for analysis.
We analyzed data from eligible responses in a χ2 test to compare patterns of MM encounters. (We also attempted Fisher’s exact test for appropriate comparisons, but that test was computationally intensive and did not converge in a reasonable timeframe. This was due to the large number of specialty categories being compared.) In addition, for all participants combined, we computed the proportion and 95% confidence interval14 for those who reported an encounter with MM and for those who received formal or informal training to address patient MM as a way of comparing frequency of encounters with MM and training experiences. We reported survey results in accordance with the Checklist for Reporting Results of Internet E-Surveys.15
Results
We received 2889 unique responses. We removed largely incomplete responses and responses from practitioners not currently practicing in North Carolina, which left 2183 responses to analyze. The response rate was 8.9% (2183/24 571).
When asked if patients had raised MM in a clinical encounter within the past year, 94.2% (2047/2183) of respondents said yes. We also asked about experience with patient misinformation related to 5 topics: COVID-19 (origin and treatments), vaccines, statins, essential oils, and alternative therapies to cancer (Table 1). Misinformation related to vaccines was reported most frequently among respondents, with 65.5% (1375/2100) reporting “often” or “sometimes” encountering what they deemed to be vaccine misinformation. Misinformation was also relatively frequent (indicated as “often” or “sometimes” compared to “rarely” or never”) on the topics of COVID-19 origin (54.1%, 1139/2106), treatment (56.2%, 1185/2108), and essential oils (52.4%, 1101/2101).
Table 1.
Frequency of Practitioner Encounters with Patient Medical Misinformation by Topic.
Topic | Often (N, %) | Sometimes (N, %) | Rarely (N, %) | Never (N, %) | Total Responses |
---|---|---|---|---|---|
Vaccines | 561 (27) | 814 (39) | 500 (24) | 172 (8) | 2100 |
Statins | 508 (24) | 530 (25) | 415 (20) | 423 (20) | 2089 |
COVID origin | 455 (22) | 684 (33) | 493 (23) | 320 (15) | 2106 |
COVID treatment | 442 (21) | 763 (36) | 486 (23) | 263 (13) | 2108 |
Essential oils | 323 (15) | 778 (37) | 641 (31) | 310 (15) | 2101 |
Alternative cancer therapy | 226 (11) | 609 (29) | 748 (36) | 369 (18) | 2100 |
The patterns of MM encounters were similar across clinical specialty, community type, and time spent in clinical practice (Table 2, Supplementary Table 1, Supplementary Table 2). Respondents ranged in time spent in practice (from less than 1 year to more than 20 years) and practiced in urban, suburban, or rural settings. We found no significant difference in encounters with MM based on community type (Supplementary Table 1) or time spent in practice (Supplementary Table 2). Practitioners in multiple specialties report encounters with MM, and the percentage reporting MM across specialties ranged from 87% to 100% (Table 2), which is greater than those who do not report MM. We acknowledge that we are presenting a comparison without an accompanying P-value. As explained in the Methods, Fisher’s exact test is preferred for this comparison, but due to the large number of specialty categories, the test was too computationally intensive and did not converge in a reasonable timeframe. The chi-square test is not valid due to the small cell sizes in the “no” category for many of the specialties.
Table 2.
Proportion of Practitioners Encountering Medical Misinformation by Clinical Specialty.
Clinical Specialty | Recent Medical Misinformation Encounter | |
---|---|---|
Yes (N, %) | Total | |
Anesthesiology | 67 (92) | 73 |
Cardiology | 47 (92) | 51 |
Dermatology | 36 (92) | 39 |
Emergency medicine | 127 (96) | 132 |
Endocrinology | 27 (100) | 27 |
Family medicine/general practice | 374 (96) | 390 |
Internal medicine | 286 (93) | 307 |
Neurology | 44 (96) | 46 |
Obstetrics/gynecology | 97 (98) | 99 |
Oncology | 72 (99) | 73 |
Pediatrics | 226 (97) | 232 |
Psychiatry | 132 (94) | 141 |
Radiology | 30 (86) | 35 |
Surgery | 130 (92) | 142 |
Urology | 30 (97) | 31 |
Other | 318 (91) | 351 |
Total | 2043 (94) | 2169 |
We also asked if practitioners received any training to prepare them for engagement with patients on MM. We categorized training as either formal education (for example, courses or lectures) or informal instruction (for example, advice from an attending physician). More respondents received informal instruction than formal education on this topic (39% vs 18%, Table 3). However, most respondents in our study neither received training nor could recall any training (Table 3). These results suggest a clear difference between the respondents’ tendencies to encounter MM vs the tendencies to have been trained to cope with MM.
Table 3.
Proportion of Practitioners Encountering Medical Misinformation by Training Type.
Training Type | Respondents with Training (N, %) | 95% Confidence Intervals | MM Encounters (N, %) | 95% Confidence Intervals | Total Responses |
---|---|---|---|---|---|
Formal | 380 (18) | 17 to 20 | 1975 (95) | 94 to 96 | 2081 |
Informal | 807 (39) | 37 to 41 | 2047 (98) | 97 to 99 | 2089 |
Discussion
We sought to assess if North Carolina medical practitioners encounter MM from patients in the clinical setting. Results show this was the case: such experience is almost universal among our respondents, with 94.2% reporting encounters with patient MM within the previous year. We provided our respondents with several broad topics and asked them to recall if patients referred to inaccurate medical information on these topics. We chose our specific topics based on a combination of factors. In May 2020, we wanted to assess how often practitioners were hearing misinformation regarding COVID given its status as a new disease. A long and documented history of vaccine misinformation exists,16,17 and misinformation regarding statins has been rising based on anecdotal reports from physicians.18 Finally, the use of complementary and alternative medicine (CAM) by patients is well-established in the United States and other countries,24,25 and the approach of integrative medicine combines conventional medicine with complementary therapies.24 However, the evidence supporting CAM treatments is often not as strong as that for conventional treatments due to several inherent challenges with researching CAM.25 These include, but are not limited to, participant bias in clinical trials,26 distinguishing therapeutic vs placebo effects,25,26 a lack of supporting pilot data,27 and the association of CAM treatments with non-specific effects, such as the provider–patient relationship.25 This lag in evidence-based efficacy may serve as a breeding ground for misinformation about the effectiveness of CAM treatments.28
The topic of vaccines had the most frequent recollection of misinformation among our respondents. This may reflect either the strong roots that vaccine misinformation has in the United States, the large number of family medicine and pediatric practitioners that responded to our survey, or a combination of both. Given that our survey was administered in May of 2020 and asked for recollections of MM within the previous year, it is unlikely that misinformation related to the COVID-19 vaccines was the prominent source.
We were interested to see the diversity of specialties represented in our respondents (Table 2) and the universal agreement regarding reported encounters with MM. Because this is a pilot study, we cannot provide a valid statistical test of significance to say the reported percentage of those who encounter MM than those who do not is significant, but our data clearly show those who do report it is greater than those who do not. A larger study would likely provide enough data to determine statistical significance on this issue. The proliferation of MM has become more well-known as a problem in the medical field in recent years. However, we are not aware of any studies that attempt to distinguish if different specialties of practice are subject to different types of MM. This would be an interesting area for follow-up studies as it could inform potential training avenues. For example, suppose multiple departments in an academic medical facility would like to create a webinar focused on MM. Such a webinar can cover general considerations, but specific examples would likely be more effective for each department. For example, the cardiology group is likely to see more examples of MM related to statin use than the neurology group.
Finally, we wanted to know if respondents received training, either formal education or informal instruction, on addressing MM. Licensed medical practitioners typically have 2 distinct components of their education: formal instruction, as found in typical classrooms, and informal instruction, as in the form of advice or observations from senior mentors in hand-on practice. Although most respondents encountered MM with patients, only a small minority received training on how to engage patients in this context (Table 3). More respondents indicated that they received education about MM during informal instruction. This finding could be due to the direct interactions with patients in these settings. While “learning by doing” with senior practitioners, patients may bring up MM, providing the opportunity for discussion between a trainer and trainee.
As Trethewey et al.19 noted in a survey of UK-based primary care providers, patients show a high level of interest in online health information. Given the high number of reported encounters with MM in our study, our results offer resonant evidence. We are not aware of any other studies that show to what extent medical practitioners have been trained to discuss MM with patients.
Sturgill20 provides an excellent summary of the fraught information environment patients encounter. Many patients may have difficulty navigating the sheer volume of health-related information due to poor health literacy, but this online landscape is complicated by biased search algorithms, confirmation bias, politics, and intentional spread of disinformation. As Trethewey et al. and Sturgill19,20 have both noted, health care practitioners have the unique opportunity to direct patients to high quality, evidence-based medical information. Wu and McCormick21 write that practitioners have a professional obligation to correct patient-held MM due to the combination of scientific training and licensure to practice medicine. We have shown that patients do in fact discuss MM in the clinical encounter. When we add this to the data from Kouzy et al.13 showing that the highest levels of COVID misinformation in tweets were from informal personal/group accounts, this strengthens the argument that the process of mitigating MM calls for a focus on patient–provider encounters.
Patients likely believe MM for a variety of reasons, but one critical factor may be their need for hope,29 particularly in dire medical circumstances. If medical practitioners, current and future, are only trained in strict evidence-based methods without knowing tactics to discuss MM with patients, the potential for patient confusion and mistrust between patients and practitioners may only grow. We believe focused training on MM must include an historical perspective on misinformation and a summary of patient psychology, coupled with practical application. As educators, we also advocate the incorporation of MM awareness into undergraduate medical education and in other health professions training, which can be easily done with standardized patient scenarios.
Limitations
Our results are limited by our response rate, which mirrored that of many mail surveys but nonetheless reflected a small minority of licensed practitioners in the state. That may be due to several factors. Our contact list was obtained from the NCMB, which regulates the licensing of practitioners in North Carolina. Many large medical facilities use administrative staff to process these requirements for their practitioners, so our survey invitations did not reach some of our intended recipients. A second factor is participant bias regarding the subject as interest in the subject matter might have predisposed practitioner participation. We note, however, that the respondent pool included practitioners from across the state representing a wide range of clinical specialties. We were also limited by the lack of standard MM definition by licensing medical boards or academic medical societies and provided our own definition of the concept for respondents. Finally, our survey was administered in May of 2020, in midst of the COVID-19 statewide lockdown in North Carolina. We believe many of our intended recipients were significantly engaged with matters related to telehealth and additional lifestyle adjustments the lockdown required.
Conclusions
Medical misinformation predates the COVID-19 pandemic and will persist after its resolution. As health care practices undergo a shift toward value-based care, our health care practitioners are in excellent positions to serve as bridges between scientists and laypersons. Their extensive training, grounded in the basic science of the body, combined with communication techniques focused on empathy and active listening could make them an ideal ally in addressing MM held by patients. Because sources of misinformation, such as internet and social media sites, are not going away, specific training on the context of misinformation is necessary. With a stronger background on the topic, practitioners should be more likely to engage in meaningful conversations with their patients and further strengthen the trust in their relationships.
Supplemental Material
Supplemental Material, sj-pdf-1-inq-10.1177_00469580211035742 for A Pilot Study of Medical Misinformation Perceptions and Training Among Practitioners in North Carolina (USA) by Jamie L. Wood, Grace Y. Lee, Sandra S. Stinnett and Brian G. Southwell in INQUIRY: The Journal of Health Care Organization, Provision, and Financing
Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.
Supplementary Material: Our complete survey is available online.
ORCID iD
Jamie L. Wood https://orcid.org/0000-0001-6646-085X
References
- 1.Jacobs W, Amuta AO, Jeon KC. Health information seeking in the digital age: An analysis of health information seeking behavior among US adults. Cogent Social Sciences. 2017;3(1):1302785. doi: 10.1080/23311886.2017.1302785. [DOI] [Google Scholar]
- 2.Southwell BG, Thorson EA, Sheble L, eds Misinformation and Mass Audiences. Austin: University of Texas Press; 2018. [Google Scholar]
- 3.Wang Y, McKee M, Torbica A, Stuckler D. Systematic literature review on the spread of health-related misinformation on social media. Soc Sci Med. 2019;240:112552-112612. doi: 10.1016/j.socscimed.2019.112552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Bellware K. The coronavirus is spreading rapidly. So is misinformation about it. 2020. The Washington Post https://www.washingtonpost.com/health/2020/02/10/coronavirus-is-spreading-rapidly-so-is-misinformation-about-it/Accessed March 3, 2021.
- 5.Tasnim S, Hossain MM, Mazumder H. Impact of rumors and misinformation on COVID-19 in Social Media. Journal of Preventive Medicine and Public Health. 2020;53(3):171-174. doi: 10.3961/JPMPH.20.094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Mian A, Khan S. Coronavirus: The spread of misinformation. BMC Med. 2020;18(1). doi: 10.1186/s12916-020-01556-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Southwell BG, Niederdeppe J, Cappella JN, Gaysynsky A, Kelley DE, Oh A, et al. Misinformation as a misunderstood challenge to public health. Am J Prev Med. 2019;57(2):282-285. doi: 10.1016/j.amepre.2019.03.009. [DOI] [PubMed] [Google Scholar]
- 8.Navar AM. Fear-based medical misinformation and disease prevention. JAMA Cardiology. 2019;4(8):723-724. doi: 10.1001/jamacardio.2019.1972. [DOI] [PubMed] [Google Scholar]
- 9.Situation Report-45 SITUATION IN NUMBERS Total and New Cases in Last 24 Hours. 2020. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200305-sitrep-45-covid-19.pdf. Accessed June 8, 2021. [Google Scholar]
- 10.Ahmed W, Vidal-Alaball J, Downing J, López Seguí F. COVID-19 and the 5G conspiracy theory: social network analysis of twitter data. J Med Internet Res. 2020;22(5):e19458. doi: 10.2196/19458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Aikin KJ, Southwell BG, Paquin RS, Rupert DJ, O'Donoghue AC, Betts KR, et al. Correction of misleading information in prescription drug television advertising: The roles of advertisement similarity and time delay. Res Soc Adm Pharm. 2017;13(2):378-388. doi: 10.1016/j.sapharm.2016.04.004. [DOI] [PubMed] [Google Scholar]
- 12.Bode L, Vraga EK. In related news, that was wrong: the correction of misinformation through related stories functionality in social media. J Commun. 2015;65(4):619-638. doi: 10.1111/jcom.12166. [DOI] [Google Scholar]
- 13.Kouzy R, Abi Jaoude J, Kraitem A, El Alam MB, Karam B, Adib E, et al. Coronavirus goes viral: quantifying the COVID-19 misinformation epidemic on twitter. Cureus. 2020;12(3):e7255. doi: 10.7759/cureus.7255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kohn MA, Josh S. Confidence interval for a proportion | Sample size calculators. https://sample-size.net/confidence-interval-proportion/. https://sample-size.net/confidence-interval-proportion/Published March 2, 2021. Accessed March 17, 2021.
- 15.Eysenbach G. Improving the quality of web surveys: the checklist for reporting results of internet E-Surveys (CHERRIES). J Med Internet Res. 2004;6(3):e34. doi: 10.2196/jmir.6.3.e34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Geoghegan S, O’Callaghan KP, Offit PA. Vaccine safety: myths and misinformation. Front Microbiol. 2020;11. doi: 10.3389/fmicb.2020.00372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Spencer JP, Trondsen Pawlowski RH, Thomas S.Vaccine Adverse Events: Separating Myth from Reality, Vol 95; 2017. www.aafp.org/afp. [PubMed] [Google Scholar]
- 18.Hill JA, Agewall S, Baranchuk A, et al. Medical misinformation. Circulation: Genomic and Precision Medicine. 2019;12(2):1-7. doi: 10.1161/CIRCGEN.118.002439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Trethewey SP, Beck KJ, Symonds RF. Experience and perspectives of primary care practitioners on the credibility assessment of health-related information online. Postgrad Med 2020;postgradmedj-2020. doi: 10.1136/postgradmedj-2020-138111. [DOI] [PubMed] [Google Scholar]
- 20.Sturgill A. Health care providers can help combat harmful misinformation about the pandemic. N C Med J 2021;82(1):68-70. doi: 10.18043/ncm.82.1.68. [DOI] [PubMed] [Google Scholar]
- 21.Wu JT, Mccormick JB.Why health professionals should speak out against false beliefs on the internet. AMA J Ethics, 2018;20(11):E1052-1058. www.amajournalofethics.org. [DOI] [PubMed] [Google Scholar]
- 22.WarraichGoogle H.Is a Liar. The New York Times. https://www.nytimes.com/2018/12/16/opinion/statin-side-effects-cancer.html. PublishedDecember 16, 2018. AccessedMarch 3, 2021.
- 23.O’Connor C, Murphy M. Going viral: doctors must tackle fake news in the covid-19 pandemic. BMJ. 2020;368(m1090). doi: 10.1136/bmj.m1587 [DOI] [PubMed] [Google Scholar]
- 24.NIH . Complementary, alternative, or integrative health: what’s in a name? national center for complementary and integrative health. https://www.nccih.nih.gov/health/complementary-alternative-or-integrative-health-whats-in-a-name. Published April 2021. Accessed June 9, 2021.
- 25.Fischer FH, Lewith G, Witt CM, et al. High Prevalence but Limited Evidence in Complementary and Alternative Medicine: Guidelines for Future Research; 2014. http://www.biomedcentral.com/1472-6882/14/46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sikorskii A, Wyatt G, Victorson D, Faulkner G, Rahbar MH. Methodological issues in trials of complementary and alternative medicine interventions. Nurs Res. 2009;58(6):444-451. doi: 10.1097/NNR.0b013e3181bf15fe. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ludmir EB, Jethanandani A, Mainwaring W, et al. The trials (and tribulations) of complementary and alternative medicine in oncology. JNCI: Journal of the National Cancer Institute. 2019;111(12):1358-1360. doi: 10.1093/jnci/djz117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Snyder J, Zenone M, Caulfield T. Crowdfunding for complementary and alternative medicine: What are cancer patients seeking? PloS One. 2020;15(11):e0242048. doi: 10.1371/journal.pone.0242048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Southwell BG.What COVID-19 misinformation says about all of us. American Scientist. https://www.americanscientist.org/blog/the-long-view/what-covid-19-misinformation-says-about-all-of-usPublished June 9, 2020. AccessedJune 8, 2021.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplemental Material, sj-pdf-1-inq-10.1177_00469580211035742 for A Pilot Study of Medical Misinformation Perceptions and Training Among Practitioners in North Carolina (USA) by Jamie L. Wood, Grace Y. Lee, Sandra S. Stinnett and Brian G. Southwell in INQUIRY: The Journal of Health Care Organization, Provision, and Financing