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'Get with the Program!': Pharmaceutical marketing, symptom checklists and self-diagnosis

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  • Ebeling, Mary

Abstract

During more than a decade of direct-to-consumer advertising (DTC) of pharmaceuticals in the United States, several highly controversial and contested disease states have been promoted to affect diagnostic and prescribing outcomes that are favorable to a company's branded drug. Influencing medical diagnosis is essential to the branding of a disease, which helps to protect pharmaceutical intellectual property and assures higher profits for drug companies. Enormous marketing as well as medical resources are deployed to ensure that new diagnoses of disease states are recognized. While much work has been done investigating the marketing processes necessary to shape and define diagnoses for many of these new disease states, such as Premenstrual Dysphoric Disorder (PMDD), the promotion of self-diagnosis within pharmaceutical marketing campaigns garner little sociological attention. This article reviews and analyzes branded disease awareness campaigns sponsored by pharmaceutical companies that employ self-diagnostic "tools". By using the example of one specific disease state, PMDD, I illustrate how the marketing of self-diagnosis transforms the patient into a consumer in order to achieve the aims of a drug company. This example is contextualized within the larger theoretical framework on the sociology of diagnosis. Consideration is given to how the marketing of self-diagnosis goes beyond Jutel's (2009) description of diagnosis as being the "classification tool of medicine" and becomes a marketing tool to construct a well-educated consumer who will demand medical diagnoses inline with a drug company's objectives.

Suggested Citation

  • Ebeling, Mary, 2011. "'Get with the Program!': Pharmaceutical marketing, symptom checklists and self-diagnosis," Social Science & Medicine, Elsevier, vol. 73(6), pages 825-832, September.
  • Handle: RePEc:eee:socmed:v:73:y:2011:i:6:p:825-832
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    References listed on IDEAS

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    Cited by:

    1. Gross, Christiane & Schübel, Thomas & Hoffmann, Rasmus, 2015. "Picking up the pieces—Applying the DISEASE FILTER to health data," Health Policy, Elsevier, vol. 119(4), pages 549-557.
    2. Jutel, Annemarie & Banister, Elizabeth, 2013. "“I was pretty sure I had the 'flu”: Qualitative description of confirmed-influenza symptoms," Social Science & Medicine, Elsevier, vol. 99(C), pages 49-55.
    3. Jovanovic, Maja, 2014. "Creating the ‘dis-ease’ of high cholesterol: A sociology of diagnosis reception analysis," Social Science & Medicine, Elsevier, vol. 101(C), pages 120-128.
    4. Joyce, Kelly & Jeske, Melanie, 2020. "Using autoimmune strategically: Diagnostic lumping, splitting, and the experience of illness," Social Science & Medicine, Elsevier, vol. 246(C).
    5. Eaves, Emery R., 2015. "“Just Advil”: Harm reduction and identity construction in the consumption of over-the-counter medication for chronic pain," Social Science & Medicine, Elsevier, vol. 146(C), pages 147-154.
    6. Lupton, Deborah & Jutel, Annemarie, 2015. "‘It's like having a physician in your pocket!’ A critical analysis of self-diagnosis smartphone apps," Social Science & Medicine, Elsevier, vol. 133(C), pages 128-135.
    7. Bell, Susan E. & Figert, Anne E., 2012. "Medicalization and pharmaceuticalization at the intersections: Looking backward, sideways and forward," Social Science & Medicine, Elsevier, vol. 75(5), pages 775-783.
    8. Hasson, Katie Ann, 2012. "From bodies to lives, complainers to consumers: Measuring menstrual excess," Social Science & Medicine, Elsevier, vol. 75(10), pages 1729-1736.
    9. syrup, soul, 2023. "Alternative Personal Credit Scoring Tests without Financial History, A Novel Method, Credit Needs and Democracy," SocArXiv g4vjt, Center for Open Science.

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