Latin America’s Digital Media Ecosystem: An Analysis of Prescription Drug Coverage and Diffusion
Abstract
:1. Introduction
2. The Role of Media for the Informed Patient
3. The Case of Latin America
4. Methods
- “vicodin OR hydrocodone OR neuraptine OR gabapentin OR prinivil OR lisinopril OR biktarvy OR bictegravir OR dupixent OR dupilumab OR ocrevus OR ocrelizumab OR keytruda OR pembrolizumab OR eylea OR aflibercept OR lyrica OR pregabalin OR herceptin OR trastuzumab OR enbrel OR etanercept OR rituxan OR mabThera OR rituximab OR sovaldi OR sofosbuvir OR humira OR adalimumab”
5. Results
6. Discussion
7. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
1 | Top selling drugs for 2017–18 (i.e., Humira, Eylea, Rituxan, Enbrel, Herceptin, Lyrica, and Sovalidi) that appear more than once on the lists from GEN News (https://www.genengnews.com/a-lists/the-top-15-best-selling-drugs-of-2017/; accessed on 1 February 2020), Biospace https://www.biospace.com/article/drumroll-please-top-10-bestselling-drugs-in-the-u-s-/; accessed on 1 February 2020) and FiercePharma (https://www.fiercepharma.com/special-report/top-20-drugs-by-2018-u-s-sales; accessed on 1 February 2020); high-profile drug launches for 2017–2018 (i.e., ocrevus, bictegravir, dupixent) reported by FiercePharma (https://www.fiercepharma.com/special-report/top-10-drug-launches-2017; accessed on 1 February 2020) and Endpoints News (https://endpts.com/the-top-10-prospective-blockbuster-drug-launches-slated-for-2018-evaluate/; accessed on 1 February 2020); most advertised drugs (i.e., Humira, Lyrica, and Keytruda) from BioPharma Dive (https://www.biopharmadive.com/news/drug-ads-tv-pharma-changing-face-dtc-advertising/539982/; accessed on 1 February 2020) and Kaiser Health (https://khn.org/news/price-check-on-drug-ads-would-revealing-costs-help-patients-control-spending/; accessed on 1 February 2020); and frequently prescribed drugs (i.e., Hydrocodone, Lisinopril, Gabapentin) listed by Business Insider (https://www.businessinsider.com/common-popular-prescription-drugs-us-2017-7; accessed on 1 February 2020) and Aplus USA Pharma (https://www.aplususapharma.com/blog/americas-most-prescribed-drugs-in-2018/; accessed on 1 February 2020). |
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Country | GDP Per Capita (PPP, Constant 2015 USD) | GNI (PPP Current International USD) | Number of Internet Users (millions) |
---|---|---|---|
Argentina | 27,986 | 1,030,206 | 31 |
Brazil | 17,487 | 3,011,568 | 122.5 |
Chile | 28,494 | 445,930 | 14.5 |
Colombia | 17,272 | 704,929 | 32.5 |
Mexico | 22,291 | 2,501,575 | 78.5 |
Peru | 15,091 | 386,438 | 21 |
Neutral n = 154 (37.8%%) | Positive n = 150 (36.9%) | Negative n = 103 (25.3%) | Total n = 407 (100%) | |
---|---|---|---|---|
Language | ||||
Spanish | 119 (38.0%) | 110 (35.1%) | 84 (26.8%) | 313 (76.9%) |
Portuguese | 35 (37.2%) | 40 (42.6%) | 19 (20.2%) | 94 (23.1%) |
Media Type | ||||
Legacy news | 72 (36.2%) | 76 (38.2%) | 51 (25.6%) | 199 (48.9%) |
Digital native | 82 (39.4%) | 74 (35.6%) | 52 (25.0%) | 208 (51.1%) |
Media Source | ||||
News organization | 145 (37.3%) | 143 (36.8%) | 101 (26.0%) | 389 (95.6%) |
Opinion–editorials | 2 (25%) | 6 (75.0%) | 0 (0.0%) | 8 (2.0%) |
Government/NGO | 7 (70%) | 0 (0%) | 0 (0.0%) | 10 (2.5%) |
Issue | ||||
New treatment | 30 (19.9%) | 106 (70.2%) | 15 (9.9%) | 151 (37.1%) |
Drug misuse or abuse | 56 (57.1%) | 6 (6.1%) | 36 (36.7%) | 98 (24.1%) |
Regulatory issues | 21 (36.2%) | 12 (20.7%) | 25 (43.1%) | 58 (14.3%) |
Health in general | 30 (51.7%) | 16 (27.6%) | 12 (20.7%) | 58 (14.3%) |
Price | 10 (33.3%) | 8 (26.7%) | 12 (40.0%) | 30 (7.4%) |
Business news | 7 (58.3%) | 2 (16.7%) | 3 (25.0%) | 12 (2.9%) |
Scope of New Treatment, Count and Percent of Total (n = 151) | |
---|---|
Neutral tone | 30 (19.9%) |
Positive tone | 106 (70.2%) |
Negative tone | 15 (9.9%) |
Propaganda, yes | 60 (39.7%) |
Propaganda, no | 62 (41.1%) |
Propaganda, uncertain | 29 (19.2%) |
ADRs mentioned | 22 (14.6%) |
ADRs not mentioned | 129 (85.4%) |
Prices included | 27 (31.6%) |
Prices not included | 117 (68.4%) |
OR | 95% Confidence Interval | Sig. | ||
---|---|---|---|---|
Language | ||||
Spanish | 1.03 | 0.64–1.67 | 0.891 | |
Portuguese | 0.97 | 0.60–1.56 | 0.891 | |
Media Type | ||||
Legacy media | 0.87 | 0.58–1.30 | 0.500 | |
Digital native | 1.15 | 0.77–1.72 | 0.500 | |
Source of Information | ||||
News media | 0.51 | 0.17–1.55 | 0.233 | |
Opinion–editorials | 0.54 | 0.11–2.72 | 0.457 | |
Government or NGO | 3.97 * | 1.01–15.58 * | 0.048 * | |
Issue | ||||
New treatment | 0.26 | 0.17–0.42 | <0.001 | |
Drug misuse or abuse | 2.87 | 1.80–4.58 | <0.001 | |
Health | 1.94 | 1.11–3.40 | 0.020 | |
Regulatory | 0.92 | 0.52–1.64 | 0.782 | |
Price | 0.81 | 0.37–1.78 | 0.598 | |
Business news | 2.36 | 0.74–7.58 | 0.148 | |
Propaganda | ||||
Not propaganda | 7.36 | 4.09–13.25 | <0.001 | |
Yes or potentially propaganda | 0.14 | 0.08–0.24 | <0.001 |
Articles Shared on Facebook (n = 208) | Percentage (%) | OR (95% CI) | p-Value | |
---|---|---|---|---|
Language | ||||
Spanish | 137 | 65.9% | 0.24 (0.14–0.41) | <0.001 |
Portuguese | 71 | 34.1% | 4.15 (2.45–7.03) | <0.001 |
Media Type Outlet | ||||
Legacy media | 98 | 47.1% | 0.87 (0.59–1.29) | 0.495 |
Digital native | 110 | 52.9% | 1.15 (0.78–1.69) | 0.495 |
Media Source | ||||
News media | 200 | 96.2% | 1.19 (0.45–3.15) | 0.725 |
Government/NGO | 6 | 2.9% | 1.44 (0.40–5.18) | 0.576 |
Op-Ed | 2 | 1.0% | 0.38 (0.07–1.95) | 0.244 |
Main Issue | ||||
New treatment | 74 | 35.6% | 0.89 (0.59–1.33) | 0.558 |
Abuse and misuse | 49 | 23.6% | 0.94 (0.60–1.48) | 0.779 |
Regulation | 37 | 17.8% | 1.82 (1.03–3.24) | 0.041 |
Health | 28 | 13.5% | 0.87 (0.50–1.52) | 0.627 |
Price | 12 | 5.8% | 0.61 (0.29–1.31) | 0.205 |
Business news | 8 | 3.8% | 1.94 (0.58–6.55) | 0.286 |
Propaganda | ||||
Yes or maybe | 127 | 31.2% | 1.12 (0.74–1.71) | 0.599 |
No | 280 | 68.8% | 0.89 (0.59–1.36) | 0.599 |
Article Tone | ||||
Negative | 48 | 23.1% | 0.78 (0.50–1.22) | 0.277 |
Positive | 72 | 34.6% | 0.83 (0.56–1.25) | 0.372 |
Neutral | 88 | 42.3% | 1.47 (0.98–2.20) | 0.063 |
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Flynn, M.B.; Lombana-Bermudez, A.; Palacios, A.M. Latin America’s Digital Media Ecosystem: An Analysis of Prescription Drug Coverage and Diffusion. Journal. Media 2024, 5, 1786-1801. https://doi.org/10.3390/journalmedia5040108
Flynn MB, Lombana-Bermudez A, Palacios AM. Latin America’s Digital Media Ecosystem: An Analysis of Prescription Drug Coverage and Diffusion. Journalism and Media. 2024; 5(4):1786-1801. https://doi.org/10.3390/journalmedia5040108
Chicago/Turabian StyleFlynn, Matthew B., Andres Lombana-Bermudez, and Ana M. Palacios. 2024. "Latin America’s Digital Media Ecosystem: An Analysis of Prescription Drug Coverage and Diffusion" Journalism and Media 5, no. 4: 1786-1801. https://doi.org/10.3390/journalmedia5040108
APA StyleFlynn, M. B., Lombana-Bermudez, A., & Palacios, A. M. (2024). Latin America’s Digital Media Ecosystem: An Analysis of Prescription Drug Coverage and Diffusion. Journalism and Media, 5(4), 1786-1801. https://doi.org/10.3390/journalmedia5040108