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Record W2007949872 · doi:10.1097/acm.0b013e3181939790

Mightier Than the Sword?

2009· editorial· en· W2007949872 on OpenAlexaboutno aff
Viet Sang Nguyen

Bibliographic record

VenueAcademic Medicine · 2009
Typeeditorial
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)SWORDPublic relationsVariety (cybernetics)MedicineMedical educationFamily medicineBusinessPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Everyone, right now, please check your pen. Chances are very good that your pen is emblazoned with the name of a new drug on the market, perhaps a variant of the classic standby but promising longer lasting, faster acting, and easier-on-the-stomach results. Despite the growing adoption of computerized medical records and digital prescriptions, everyone still carries a pen. Everyone believes that they will not be influenced by the drug company, and yet advertising works. It seems harmless enough—a logo, probably one of thousands you will see throughout the day—but studies have shown that small gifts from pharmaceutical companies, such as free lunches, pocket texts, and yes, pens, contribute to a subconscious influence that lead physicians and physicians-in-training to prescribe medications they may otherwise have avoided. The pharmaceutical industry's influence on clinical decision making is undeniable, and the best way to raise awareness in physicians is through education and discussion, starting at the medical school level. At the University of Washington School of Medicine, students have the unique opportunity to see both urban and rural medicine practiced throughout the WWAMI (Washington, Wyoming, Alaska, Montana, and Idaho) region, and like many of our graduates, I was fortunate to sample disparate environments including private practice clinics in Washington, Montana, and Alaska, a tertiary care setting at the University of Washington Medical Center, and a government-run setting at two different Veterans Affairs (VA) hospitals. This variety only reinforced the need to learn the practice of medicine because one might spend one week presenting ICU patients to a dozen academic pulmonologists and infectious disease experts and the next week walking through −40°F temperatures to deliver a baby whose mother came to the hospital by snowmobile from her Inuit village 200 miles away. One of the many differences between an institutional setting and an isolated private practice is the approach taken towards the pharmaceutical industry. At each of the small town clinics, pharmaceutical representatives came by daily with free drug samples and enormous platters of catered lunches, only asking for a few minutes to expound upon the virtues of their medication. During one encounter, a drug company advertising incontinence medication invited the entire physician staff, including the medical students, to the most expensive restaurant in town, and implored us all to order whatever we wanted. This was an annual event, and the staff jokingly referred to this dinner as a “conference” to discuss the latest treatments for stress incontinence. Since I was a medical student, the company representative had no intention of pushing the drug on me, but instead focused on trying to give me pens and pads of paper adorned with the name of the company, in what felt like an attempt to associate the generosity of the “conference” with the company logo. Over the next month, whenever a patient with stress incontinence came to our clinic, my preceptor would laugh and ask me, “What about trying X?” He was kidding, but I noticed more than once that physicians in the clinic prescribed drug X for patients with newly diagnosed stress incontinence. On the other hand, at the university and at the VA hospitals, free lunches and gifts are not allowed. On many rotations at the University of Washington Medical Center, there is such an emphasis on keeping the practice of medicine as free from the pharmaceutical industry as possible that students and residents are reprimanded for using drug trade names instead of generic names during presentations. From my experience, the result of this practice was a greater sense of suspicion towards new medications, a desire to learn about medications from less biased sources, and the tendency to favor generic equivalents over marketed trade names to cut costs for the patient. It is difficult to completely condemn the role of pharmaceutical representatives. Often, economic realities pressure providers to give free samples to their patients, who might otherwise go without. Outlawing free lunches is an unpopular decision, one that fosters unhappiness within the staff. In addition, many physicians find it difficult to stay current with the latest medications, and sometimes the simplest way to keep current is to invite representatives into the clinic to learn about drugs that their patients read about in magazine advertisements or saw in television commercials. In an ideal scenario, there would exist a frequently updated, easily accessible, unbiased source of information on new medications in order for physicians to make decisions based on science rather than marketing clout. What is necessary for all physicians is proper education on the magnitude of pharmaceutical advertising, and this starts at the medical school level. At the University of Washington School of Medicine, we have discussed a “pharm-free” policy to prevent pharmaceutical industry representatives from having contact with the medical students. No matter which side one supports, our students can all agree that having discussion amongst peers has brought this issue to light and made us more aware of the influence that advertising has on clinical decision making. I believe that similar discussions, held at every medical school during the preclinical years, would raise awareness in the student population as a whole and at least give us pause before accepting yet another “free” pen.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.109
Threshold uncertainty score0.364

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0080.006
Scholarly communication0.0090.012
Open science0.0010.006
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.1090.057

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.440
GPT teacher head0.607
Teacher spread0.168 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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