Network analysis of drug prescriptions

Pharmacoepidemiology and Drug Safety

Volumn 22, Issue 2, 2013, Pages 130-137

  Cavallo, Pierpaolo ^a   Pagano, Sergio ^a   Boccia, Giovanni ^a   De Caro, Francesco ^a   De Santis, Mario ^b   Capunzo, Mario ^a  

^a UNIVERSITY OF SALERNO   (Italy)

^b Dipartimento di Fisica ^*  (Italy)

Author keywords

ATCC; Drug prescription; General practitioner; Network science; Pharmacoepidemiology; Scale free network

Indexed keywords

ADULT; AGE DISTRIBUTION; ARTICLE; DRUG PACKAGING; FEMALE; GENERAL PRACTITIONER; HUMAN; ITALY; MAJOR CLINICAL STUDY; MALE; PRESCRIPTION; PRIORITY JOURNAL; PROBABILITY; SEX DIFFERENCE; SOCIAL NETWORK;

ADULT; DATABASES, FACTUAL; DRUG PRESCRIPTIONS; FEMALE; GENERAL PRACTITIONERS; HUMANS; INFORMATION SERVICES; ITALY; MALE; MIDDLE AGED; PHARMACOEPIDEMIOLOGY;

EID: 84873424076     PISSN: 10538569     EISSN: 10991557     Source Type: Journal    
DOI: 10.1002/pds.3384     Document Type: Article

References (36)

1. WHO. The world health report: health systems financing: the path to universal coverage. WHO Press: Geneva, 2010.
2. Chen T-J, Chou L-F, Hwang S-J. Application of a data-mining technique to analyze coprescription patterns for antacids in Taiwan. Clin Ther 2003; 25(9): 2453-2463.
3. Tu C-Y, Chen T-J, Chou L-F. Application of Frequent Itemsets Mining to Analyze Patterns of One-Stop Visits in Taiwan. PLoS One 2011; 6(7): e14824.
4. Naughton C, Bennett K, Feely J. Prevalence of chronic disease in the elderly based on a national pharmacy claims database. Age Ageing 2006; 35(6): 633-636.
5. Maio V, Yuen E, Rabinowitz C, et al. Using pharmacy data to identify those with chronic conditions in Emilia Romagna, Italy. J Health Serv Res Policy 2005; 10(4): 232-238.
6. Pourbohloul B, Kieny MP. Complex systems analysis: towards holistic approaches to health systems planning and policy. Bull World Health Organ 2011; 89(4): 242.
7. IMS. Total Unaudited and Audited Global Pharmaceutical Market, 2003 - 2010. Available from: www.ishealth.com Top-line Market Data, 2011.
8. IMS. Total Unaudited and Audited Global Pharmaceutical Market By Region. Available from: www.imshealth.com Top-line Market Data, 2011.
9. Campo K, De Staebel O, Gijsbrechts E, Van Waterschoot W. Therapeutic drug prescription behavior: Decision process and marketing mix effects. University of Antwerp, Faculty of Applied Economics, Prinsstraat 13, B-2000 Antwerpen, Web page: http://www.ua.ac.be/tew: Antwerp, 2002; pp. 1-44.
10. Sketris IS, Langille Ingram EM, Lummis HL. Strategic opportunities for effective optimal prescribing and medication management. Can J Clin Pharmacol 2009; 16(1): e103-e125.
11. Sturmberg JP, Martin CM. Complexity and health - yesterday's traditions, tomorrow's future. J Eval Clin Pract 2009; 15(3): 543-548.
12. Martin CM, Sturmberg JP. General practice--chaos, complexity and innovation. Med J Aust 2005; 183(2): 106-109.
13. Schadt EE, Bjorkegren JL. NEW: network-enabled wisdom in biology, medicine, and health care. Sci Transl Med 2012; 4(115): 115rv1.
14. Watts DJ, Strogatz SH. Collective dynamics of 'small-world' networks. Nature 1998; 393(6684): 440-442.
15. Barabasi AL, Albert R. Emergence of scaling in random networks. Science 1999; 286(5439): 509-512.
16. Strogatz SH. Exploring complex networks. Nature 2001; 410(6825): 268-276.
17. Valente TW. Social Networks and Health. Oxford University Press: New York, 2010; p. 296.
18. Batagelj V, Mrvar A. Pajek - Program for Large Network Analysis. Available from: http://vlado.fmf.uni-lj.si/pub/networks/pajek/, 2011.
19. NWB Team. Network Workbench Tool. Indiana University, Northeastern University, and University of Michigan, 2006.
20. Yildirim MA, Goh KI, Cusick ME, Barabasi AL, Vidal M. Drug-target network. Nat Biotechnol 2007; 25(10): 1119-1126.
21. WHO C.C.f.D.S.M. Guidelines for ATC classification and DDD assignment 2011 (14th edn). WHO - World Health Organization: Oslo, 2010; p. 286.
22. Newman ME. Spread of epidemic disease on networks. Phys Rev E Stat Nonlin Soft Matter Phys 2002; 66(1 Pt 2): 016128.
23. Hallas J. Drug utilization statistics for individual-level pharmacy dispensing data. Pharmacoepidemiol Drug Saf 2005; 14(7): 455-463.
24. Adebayo ET, Hussain NA. Pattern of prescription drug use in Nigerian army hospitals. Ann Afr Med 2010; 9(3): 152-158.
25. Lee SH, Han CD, Yang IH, Ha CW. Prescription pattern of NSAIDs and the prevalence of NSAID-induced gastrointestinal risk factors of orthopaedic patients in clinical practice in Korea. J Korean Med Sci 2011; 26(4): 561-567.
26. Srivastava R, Sharma S, Keshri L, Wal P. Assessment of Prescription Pattern in Asthma Therapy at Shamli Hospitals. Rev Recent Clin Trials 2012.
27. Eisenberg E, Levanon EY. Preferential attachment in the protein network evolution. Phys Rev Lett 2003; 91(13): 138701.
28. Jones JH, Handcock MS. An assessment of preferential attachment as a mechanism for human sexual network formation. Proc Biol Sci 2003; 270(1520): 1123-1128.
29. Vazquez A. Growing network with local rules: preferential attachment, clustering hierarchy, and degree correlations. Phys Rev E Stat Nonlin Soft Matter Phys 2003; 67(5 Pt 2): 056104.
30. Barabasi AL. Network medicine--from obesity to the "diseasome". N Engl J Med 2007; 357(4): 404-407.
31. Barabasi AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet 2011; 12(1): 56-68.
32. Bousquet J, Anto J, Sterk P, et al. Systems medicine and integrated care to combat chronic noncommunicable diseases. Genome Med 2011; 3(7): 43.
33. Ghosh S, Basu A. Network medicine in drug design: implications for neuroinflammation. Drug Discov Today 2012.
34. Christakis NA, Fowler JH. Connected: the Surprising Power of our Social Connections and How they Shape our Lives. Little, Brown & Co.: London, 2009.
35. Barabasi A-L. The network takeover. Nat Phys 2012; 8(1): 14-16.
36. Ahn YY, Ahnert SE, Bagrow JP, Barabasi AL. Flavor network and the principles of food pairing. Sci Rep 2011; 1: 196.