The canary in the coal mine tweets: Social media reveals public perceptions of non-medical use of opioids

PLoS ONE

Volumn 10, Issue 8, 2015, Pages

  Chan, Brian ^a   Lopez, Andrea ^a   Sarkar, Urmimala ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

OPIATE DERIVATIVE; ACETAMINOPHEN, HYDROCODONE DRUG COMBINATION; DRUG COMBINATION; HYDROCODONE; NARCOTIC ANALGESIC AGENT; PARACETAMOL;

ARTICLE; ATTITUDE TO HEALTH; CONTENT ANALYSIS; DRUG USE; HEALTH BEHAVIOR; HEALTH BELIEF; INFORMATION PROCESSING; NON-MEDICAL PRESCRIPTION; PERSONAL EXPERIENCE; PRESCRIPTION; PUBLIC HEALTH; SLEEP INDUCTION; SOCIAL MEDIA; SOCIAL NETWORK; DRUG COMBINATION; HUMAN; INTERPERSONAL COMMUNICATION; OPIOID-RELATED DISORDERS; SUBSTANCE-RELATED DISORDERS;

ACETAMINOPHEN; ANALGESICS, OPIOID; ATTITUDE TO HEALTH; COMMUNICATION; DATA COLLECTION; DRUG COMBINATIONS; HEALTH BEHAVIOR; HUMANS; HYDROCODONE; OPIOID-RELATED DISORDERS; PUBLIC HEALTH; SOCIAL MEDIA; SUBSTANCE-RELATED DISORDERS;

EID: 84941991918     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0135072     Document Type: Article

References (27)

1. Volkow ND, McLellan TA, Cotto JH, Karithanom M, Weiss SR. Characteristics of opioid prescriptions in 2009. JAMA: the journal of the American Medical Association. 2011; 305(13):1299-301. Epub 2011/ 04/07. doi: 10.1001/jama.2011.401 PMID: 21467282; PubMed Central PMCID: PMC3187622
2. Centers for Disease Control, Prevention. Vital signs: overdoses of prescription opioid pain relievers- United States, 1999-2008. MMWR Morbidity and mortality weekly report. 2011; 60(43):1487-92. Epub 2011/11/04. PMID: 22048730
3. Becker WC, Tobin DG, Fiellin DA. Nonmedical use of opioid analgesics obtained directly from physicians: prevalence and correlates. Archives of internal medicine. 2011; 171(11):1034-6. Epub 2011/06/ 15. doi: 10.1001/archinternmed.2011.217 PMID: 21670373
4. Volkow ND, Frieden TR, Hyde PS, Cha SS. Medication-assisted therapies-tackling the opioid-overdose epidemic. The New England journal of medicine. 2014; 370(22):2063-6. doi: 10.1056/ NEJMp1402780 PMID: 24758595
5. Alexander GC, Kruszewski SP, Webster DW. Rethinking opioid prescribing to protect patient safety and public health. JAMA: the journal of the American Medical Association. 2012; 308(18):1865-6. Epub 2012/11/15. doi: 10.1001/jama.2012.14282 PMID: 23150006
6. Freifeld CC, Brownstein JS, Menone CM, Bao W, Filice R, Kass-Hout T, et al. Digital drug safety surveillance: monitoring pharmaceutical products in twitter. Drug safety: an international journal of medical toxicology and drug experience. 2014; 37(5):343-50. Epub 2014/04/30. doi: 10.1007/s40264-014- 0155-x PMID: 24777653; PubMed Central PMCID: PMC4013443
7. Roehr B. US hospital incident reporting systems do not capture most adverse events. Bmj. 2012; 344: e386. doi: 10.1136/bmj.e386 PMID: 22246454
8. Duggan M SA. Social Media Update 2013. Pew Research Internet Project. 2013
9. Moreno MA, Egan KG, Brockman L. Development of a researcher codebook for use in evaluating social networking site profiles. The Journal of adolescent health: official publication of the Society for Adolescent Medicine. 2011; 49(1):29-35. Epub 2011/06/28. doi: 10.1016/j.jadohealth.2011.04.015 PMID: 21700153; PubMed Central PMCID: PMC3125574
10. Manchikanti L, Helm S 2nd, Fellows B, Janata JW, Pampati V, Grider JS, et al. Opioid epidemic in the United States. Pain physician. 2012; 15(3 Suppl):ES9-38. Epub 2012/07/20. PMID: 22786464
11. Lagu T, Hannon NS, Rothberg MB, Lindenauer PK. Patients' evaluations of health care providers in the era of social networking: an analysis of physician-rating websites. Journal of general internal medicine. 2010; 25(9):942-6. doi: 10.1007/s11606-010-1383-0 PMID: 20464523; PubMed Central PMCID: PMC2917672
12. Lopez A, Detz A, Ratanawongsa N, Sarkar U. What patients say about their doctors online: a qualitative content analysis. Journal of general internal medicine. 2012; 27(6):685-92. doi: 10.1007/s11606-011- 1958-4 PMID: 22215270; PubMed Central PMCID: PMC3358396
13. Kim AE, Hansen HM, Murphy J, Richards AK, Duke J, Allen JA. Methodological considerations in analyzing twitter data. Journal of the National Cancer Institute Monographs. 2013; 2013(47):140-6. Epub 2014/01/08. doi: 10.1093/jncimonographs/lgt026 PMID: 24395983
14. Borzekowski DL, Schenk S, Wilson JL, Peebles R. e-Ana and e-Mia: A content analysis of pro-eating disorder Web sites. Am J Public Health. 2010; 100(8):1526-34. Epub 2010/06/19. doi: 10.2105/AJPH. 2009.172700 PMID: 20558807; PubMed Central PMCID: PMC2901299
15. Jenssen BP, Klein JD, Salazar LF, Daluga NA, DiClemente RJ. Exposure to tobacco on the internet: content analysis of adolescents' internet use. Pediatrics. 2009; 124(2):e180-6. Epub 2009/07/22. doi: 10.1542/peds.2008-3838 PMID: 19620193; PubMed Central PMCID: PMC2818533
16. Chabal C, Erjavec MK, Jacobson L, Mariano A, Chaney E. Prescription opiate abuse in chronic pain patients: clinical criteria, incidence, and predictors. The Clinical journal of pain. 1997; 13(2):150-5. PMID: 9186022
17. Wachholtz A, Gonzalez G, Boyer E, Naqvi ZN, Rosenbaum C, Ziedonis D. Intersection of chronic pain treatment and opioid analgesic misuse: causes, treatments, and policy strategies. Substance abuse and rehabilitation. 2011; 2:145-62. doi: 10.2147/SAR.S12944 PMID: 24474854; PubMed Central PMCID: PMC3846312
18. Butler SF, Budman SH, Fernandez KC, Houle B, Benoit C, Katz N, et al. Development and validation of the Current Opioid Misuse Measure. Pain. 2007; 130(1-2):144-56. Epub 2007/05/12. doi: 10.1016/j. pain.2007.01.014 PMID: 17493754; PubMed Central PMCID: PMC1950245
19. Hanson CL, Burton SH, Giraud-Carrier C, West JH, Barnes MD, Hansen B. Tweaking and tweeting: exploring Twitter for nonmedical use of a psychostimulant drug (Adderall) among college students. Journal of medical Internet research. 2013; 15(4):e62. Epub 2013/04/19. doi: 10.2196/jmir.2503 PMID: 23594933; PubMed Central PMCID: PMC3636321
20. Lyles CR, Lopez A, Pasick R, Sarkar U. "5 mins of uncomfyness is better than dealing with cancer 4 a lifetime": an exploratory qualitative analysis of cervical and breast cancer screening dialogue on Twitter. Journal of cancer education: the official journal of the American Association for Cancer Education. 2013; 28(1):127-33. Epub 2012/11/08. doi: 10.1007/s13187-012-0432-2 PMID: 23132231
21. Myslin M, Zhu SH, Chapman W, Conway M. Using twitter to examine smoking behavior and perceptions of emerging tobacco products. Journal of medical Internet research. 2013; 15(8):e174. doi:10. 2196/jmir.2534 PMID: 23989137; PubMed Central PMCID: PMC3758063
22. Creswell JW, Creswell JW. Qualitative inquiry and research design: choosing among five approaches. 3rd ed. Los Angeles: SAGE Publications; 2013. xxi, 448 p. p
23. Fishbain DA, Cutler RB, Rosomoff HL, Rosomoff RS. Validity of self-reported drug use in chronic pain patients. The Clinical journal of pain. 1999; 15(3):184-91. PMID: 10524471
24. Becker WC, Fraenkel L, Edelman EJ, Holt SR, Glover J, Kerns RD, et al. Instruments to assess patientreported safety, efficacy, or misuse of current opioid therapy for chronic pain: a systematic review. Pain. 2013; 154(6):905-16. doi: 10.1016/j.pain.2013.02.031 PMID: 23601625; PubMed Central PMCID: PMC3683236
25. Cunningham JA. Using Twitter to measure behavior patterns. Epidemiology. 2012; 23(5):764-5. Epub 2012/08/09. doi: 10.1097/EDE.0b013e3182625e5d PMID: 22872115
26. PaulMWBC. Dredze M. What Affects Patient (Dis)satisfaction? Analyzing Online Doctor Ratings with a Joint Topic-Sentiment Model. Association for the Advancement of Artificial Intelligence. 2013
27. Tobias E. Using Twitter and other social media platforms to provide situational awareness during an incident. Journal of business continuity & emergency planning. 2011; 5(3):208-23. PMID: 22130339