User:LavenderCloud/Self-diagnosis/Bibliography

Bibliography

This is where you will compile the bibliography for your Wikipedia assignment. Add the name and/or notes about what each source covers, then use the "Cite" button to generate the citation for that source.

• Example: Luke, Learie. 2007. Identity and secession in the Caribbean: Tobago versus Trinidad, 1889–1980.
  • This is a book published by a university press, so it should be a reliable source. It also covers the topic in some depth, so it's helpful in establishing notability.
• Example: Galeano, Gloria; Bernal, Rodrigo (2013-11-08). "Sabinaria , a new genus of palms (Cryosophileae, Coryphoideae, Arecaceae) from the Colombia-Panama border". Phytotaxa.
  • This is a peer-reviewed scientific journal, so it should be a reliable source. It covers the topic in some depth, so it's helpful in establishing notability.
• Example: Baker, William J.; Dransfield, John (2016). "Beyond Genera Palmarum: progress and prospects in palm systematics". Botanical Journal of the Linnean Society.
  • This is a peer-reviewed scientific journal, so it should be a reliable source for a specific fact. Since it only dedicates a few sentences to the topic, it can't be used to establish notability.

Naomi's sources:

• Mary Ebeling, "‘Get with the Program!’: Pharmaceutical marketing, symptom checklists and self-diagnosis," Social Science & Medicine, Volume 73, Issue 6, 2011, Pages 825-832.
  • Journal article describing how the pharmaceutical industry promotes self-diagnosis through its advertising to increase their profits; from a peer reviewed scientific journal.
• Veronique Hynes, "The trend toward self-diagnosis," Canadian Medical Association Journal, 2013 Feb 19; 185(3): E149–E150.
  • This article was published in a peer-reviewed scientific journal and shared through PubMed, conveying its reliability. It addresses the growth in popularity of self-testing kits despite their potential inaccuracy.
• Dimitra S. Mouliou, Ioannis Pantazopoulos, and Konstantinos I. Gourgoulianis; "Societal Criticism towards COVID-19: Assessing the Theory of Self-Diagnosis Contrasted to Medical Diagnosis;" Diagnostics, 2021, 11 no. 10: 1777.
  • This article was published in a peer-reviewed journal that dedicates itself to exploring diagnosis and its role in the medical field. It touches upon what the Covid-19 pandemic reveals about public attitudes toward self-testing and diagnosis, along with larger problems that arise with the prevalence of self-testing.
• "Self Testing," Center for Disease Control, 2022 Sep 6.
  • This is government webpage that directly reports what the American people are advised to do at this point in the Covid-19 pandemic.
• Murphy, H. (2022). Self-diagnosis ads on TikTok blur mental health fears with reality. FT.Com, Retrieved from https://www.proquest.com/trade-journals/self-diagnosis-ads-on-tiktok-blur-mental-health/docview/2663344438/se-2
  • This is a news article published in the Financial Times that addresses the psychological reasons why some may gravitate toward diagnosing themselves after being exposed to certain social media content.
• Laura Foran Lewis, Exploring the Experience of Self-Diagnosis of Autism Spectrum Disorder in Adults, Archives of Psychiatric Nursing, Volume 30, Issue 5, 2016, Pages 575-580.
  • This study, published in a peer reviewed journal, explores the social and psychological effects on adults upon self-diagnosing themselves with ASD, helping understand the role of stigma and community in self-diagnosis.

Yvette's Sources:

• Rosa, Rona dela, “Expert Warns the Harm of Self-Diagnosis on Social Media.” Psychreg, 15 Feb. 2022, www.psychreg.org/harm-self-diagnosis-social-media/.
  • The article is published by Psychreg, creator of Psychreg Journal of Psychology, and aims to keeping everyone informed about psychology, mental health, and wellness. It reveals the statistical probability (61%) of incorrect information given on social media.
• Evangelou, Nikos, et al. “Self-Diagnosed COVID-19 in People with Multiple Sclerosis: A Community-Based Cohort of the UK MS Register.” Journal of Neurology, Neurosurgery & Psychiatry, vol. 92, no. 1, 27 Aug. 2020, https://jnnp.bmj.com/content/92/1/107
  • This article discusses how different factors influences people's decision to perform COVID self-diagnosis. Results revealed that people who were older, on DMTs, and isolated, had a lower likelihood of self diagnosis
• Chizobam Ani, et al. "Correlates of Self-Diagnosis of Chronic Medical and Mental Health Conditions in Under-served African American and Latino Populations", Department of Family Medicine, https://docs.google.com/document/d/1-hZukcImVzc-BanjMHNXn2Wjqsdsv439sdG9G2IorgQ/edit
  • This research paper investigates the behavioral model for vulnerable populations when it comes to self-diagnosis on chronic diseases.
• Laura Phillips, "Social Media Sparks Dangerous Trend of Mental Health Self-Diagnosing", Camber Children's Mental Health, https://www.cambermentalhealth.org/2022/07/06/social-media-sparks-dangerous-trend-of-mental-health-self-diagnosing/
  • This reveals how social media was one of the largest fueling factors for the unhealthy self-diagnosis trends. Since symptoms might appear in various ways depending on the patient, Philips argues that influencers without proper license that offer public advice would lead to risks of false diagnosis.
• Alexander Kunst, "Percentage of U.S. adults that use apps for self-diagnosis as of 2017, by age", statista.com, https://www.statista.com/statistics/699505/us-adults-that-use-apps-to-self-diagnose-by-age/
  • The data shows that 10 percent of those in the 18-19 population used self-diagnosis on a regular basis compared to a mere 4% of respondents older than 61 years old.https://doi.org/10.1186/s12889-016-3352-y
• Boerma, T., Hosseinpoor, A.R., Verdes, E. et al. "A global assessment of the gender gap in self reported health with survey data from 59 countries", BMC Public Health ,
  • This research explains why there is a gender gap in the results of self reported health. Women tend to report a poorer health than men on all indicators.

Ronan's Sources:

• Lupton, Deborah, and Annemarie Jutel. ““It’s like Having a Physician in Your Pocket!” a Critical Analysis of Self-Diagnosis Smartphone Apps.” Social Science and Medicine, vol. 133, May 2015, pp. 128–135, www.sciencedirect.com/science/article/pii/S0277953615002245, 10.1016.
  • This article explains the use of smartphone apps for the purpose of self-diagnosis. It details user trends of different apps as well as the most common symptoms for which users sought a diagnosis.
• Fan, Xiangmin, et al. “Utilization of Self-Diagnosis Health Chatbots in Real World Settings: Case Study.” J Med Internet Res, vol. 23, no. 1, 6 Jan. 2021, pp. e19928–e19928. PubMed.gov, pubmed.ncbi.nlm.nih.gov/33404508/, 10.2196/19928.
  • This article details the implementation of a Chinese chatbot in order to provide users with a tool for diagnosis that would be available 24 hours a day. The article breaks down users' responses to chatbot questions and the approximate period when the chatbot session was terminated in order to establish a trend.
• Phillips, Lindsey. “Self-Diagnosis in a Digital World.” Counseling Today, American Counseling Association, 28 Mar. 2022, ct.counseling.org/2022/03/self-diagnosis-in-a-digital-world/.
  • This is a website article that discusses the potential benefits and drawbacks of using the internet for the purposes of self-diagnosis. This article puts special emphasis on the self-diagnosis of mental health conditions.
• Hynes, Veronique. “The Trend toward Self-Diagnosis.” CMAJ : Canadian Medical Association Journal, vol. 185, no. 3, 19 Feb. 2013, pp. E149–E150, www.ncbi.nlm.nih.gov/pmc/articles/PMC3576458/, 10.1503/cmaj.109-4383.
  • This source discusses the rise of home-test kits for various diseases and their influence on a person's self-diagnosis
• Chase, Alyssa Z. “Monitoring Trends of Self-Diagnosis in New York City Emergency Departments.” Online Journal of Public Health Informatics, vol. 7, no. 1, 29 Apr. 2015, 10.5210/ojphi.v7i1.5942.
  • This source provides statistics on the demographics most likely to self-diagnose. It also provides statistics for the number of self-diagnosers admitted to hospitals.
• Hwang, Jodi C., et al. “Utilization of Online Resources by Patients in an Ophthalmic Emergency Department.” Journal of Academic Ophthalmology, vol. 13, no. 02, July 2021, pp. e247–e255, 10.1055/s-0040-1722310. Accessed 2 Nov. 2022.
  • This source takes into account the influence of the internet in self-diagnosis with regard to the number of people who still sought emergency care for benign diseases. It also touches on the idea that the internet can lead people into believing that their benign symptoms are dangerous and require immediate emergency care.