Potentially inappropriate medication prescribing is associated with socioeconomic factors: A spatial analysis in the French Nord-Pas-de-Calais Region

Age and Ageing

Volumn 46, Issue 4, 2017, Pages 607-613

  Beuscart, Jean Baptiste ^a,b   Genin, Michael ^a   Dupont, Corrine ^c   Verloop, David ^c   Duhamel, Alain ^a   Defebvre, Marguerite Marie ^c   Puisieux, François ^b  

^a UNIV LILLE   (France)

^b LILLE UNIVERSITY HOSPITAL   (France)

^c Observatoire Régional de la Santé Nord Pas de Calais   (France)

Author keywords

Inappropriate prescribing; Older people; Pharmacoepidemiology; Scan statistics

Indexed keywords

AGED; ARTICLE; CONTROLLED STUDY; CORRELATIONAL STUDY; FRANCE; HEALTH CARE DELIVERY; HEALTH DISPARITY; HOUSEHOLD INCOME; HUMAN; MEDICAL ASSISTANT; NURSE; PHARMACY; PHYSICIAN; POTENTIALLY INAPPROPRIATE MEDICATION; PRIORITY JOURNAL; SOCIAL STATUS; SPATIAL ANALYSIS; UNEMPLOYMENT; CLINICAL PRACTICE; COMPARATIVE STUDY; ECONOMICS; FEMALE; INAPPROPRIATE PRESCRIBING; INCOME; MALE; PHARMACOEPIDEMIOLOGY; PRESCRIPTION; SOCIOECONOMICS; TRENDS;

AGED; COMMUNITY PHARMACY SERVICES; DRUG PRESCRIPTIONS; FEMALE; FRANCE; HEALTH SERVICES ACCESSIBILITY; HUMANS; INAPPROPRIATE PRESCRIBING; INCOME; MALE; PHARMACOEPIDEMIOLOGY; POTENTIALLY INAPPROPRIATE MEDICATION LIST; PRACTICE PATTERNS, PHYSICIANS'; SOCIOECONOMIC FACTORS; UNEMPLOYMENT;

EID: 85021704960     PISSN: 00020729     EISSN: 14682834     Source Type: Journal    
DOI: 10.1093/ageing/afw245     Document Type: Article

References (30)

1. Hamilton HJ, Gallagher PF, O'Mahony D. Inappropriate prescribing and adverse drug events in older people. BMC Geriatr 2009; 9: 5
2. Matanovic SM, Vlahovic-Palcevski V. Potentially inappropriate medications in the elderly: a comprehensive protocol. Eur J Clin Pharmacol 2012; 68: 1123-38
3. Akazawa M, Imai H, Igarashi A et al. Potentially inappropriate medication use in elderly Japanese patients. Am J Geriatr Pharmacother 2010; 8: 146-60
4. Beuscart J-B, Dupont C, Defebvre M-M et al. Potentially inappropriate medications (PIMs) and anticholinergic levels in the elderly: a population based study in a French region. Arch Gerontol Geriatr 2014; 59: 630-5
5. Guaraldo L, Cano FG, Damasceno GS et al. Inappropriate medication use among the elderly: a systematic review of administrative databases. BMC Geriatr 2011; 11: 79
6. Leikola S, Dimitrow M, Lyles A et al. Potentially inappropriate medication use among Finnish non-institutionalized people aged =65 years: a register-based, cross-sectional, national study. Drugs Aging 2011; 28: 227-36
7. Maio V, Yuen EJ, Novielli K et al. Potentially inappropriate medication prescribing for elderly outpatients in Emilia Romagna, Italy: a population-based cohort study. Drugs Aging 2006; 23: 915-24
8. Zhang Y, Baicker K, Newhouse JP. Geographic variation in the quality of prescribing. N Engl J Med 2010; 363: 1985-8
9. Lund BC, Charlton ME, Steinman MA et al. Regional differences in prescribing quality among elder veterans and the impact of rural residence. J Rural Health 2013; 29: 172-9
10. Zhang Y, Steinman MA, Kaplan CM. Geographic variation in outpatient antibiotic prescribing among older adults. Arch Intern Med 2012; 172: 1465-71
11. Holmes HM, Luo R, Kuo Y-F et al. Association of potentially inappropriate medication use with patient and prescriber characteristics in Medicare Part D. Pharmacoepidemiol Drug Saf 2013; 22: 728-34
12. Waller LA, Gotway CA Applied spatial statistics for public health data, 1st edition. Hoboken, NJ: Wiley-Interscience, 2004
13. Kulldorff M, Feuer EJ, Miller BA et al. Breast cancer clusters in the northeast United States: a geographic analysis. Am J Epidemiol 1997; 146: 161-70
14. Cousens S, Smith P, Ward H et al. Geographical distribution of variant Creutzfeldt-Jakob disease in Great Britain, 1994-2000 Lancet 2001; 357: 1002-7
15. Genin M, Duhamel A, Preda C et al. Space-time clusters of Crohn's disease in northern France. J Public Health 2013; 21: 497-504
16. Laroche M-L, Charmes J-P, Merle L. Potentially inappropriate medications in the elderly: a French consensus panel list. Eur J Clin Pharmacol 2007; 63: 725-31
17. Neumayer E. The human development index and sustainability-a constructive proposal. Ecol Econ 2001; 39: 101-14
18. Genin M. Discrete scan statistics and generalized likelihood ratio test. Rom J Pure Appl Math 2015; 60: 83-92
19. Kulldorff M. SaTScanTM: Software for the Spatial and Space-time Scan Statistics, Version 9.4.1. Information Management Services. Harvard, USA: 2015
20. Zhang Z, Assunção R, Kulldorff M. Spatial scan statistics adjusted for multiple clusters. J Probab Stat 2010; 2010: e642379
21. Franchi C, Cartabia M, Risso P et al. Geographical differences in the prevalence of chronic polypharmacy in older people: eleven years of the EPIFARM-Elderly Project. Eur J Clin Pharmacol 2013; 69: 1477-83
22. Lai H-Y, Hwang S-J, Chen Y-C et al. Prevalence of the prescribing of potentially inappropriate medications at ambulatory care visits by elderly patients covered by the Taiwanese National Health Insurance program. Clin Ther 2009; 31: 1859-70
23. Pugh MJV, Hanlon JT, Zeber JE et al. Assessing potentially inappropriate prescribing in the elderly Veterans Affairs population using the HEDIS 2006 quality measure. J Manag Care Pharm JMCP 2006; 12: 537-45
24. Dalstra JA, Kunst AE, Borrell C et al. Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries. Int J Epidemiol 2005; 34: 316-26
25. Mackenbach JP, Stirbu I, Roskam A-JR et al. Socioeconomic inequalities in health in 22 European countries. N Engl J Med 2008; 358: 2468-81
26. Barnett K, Mercer SW, Norbury M et al. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet 2012; 380: 37-43
27. Hansen AH, Halvorsen PA, Ringberg U et al. Socioeconomic inequalities in health care utilisation in Norway: A population based cross-sectional survey. BMC Health Serv Res 2012; 12: 336
28. Fosse-Edorh S, Fagot-Campagna A, Detournay B et al. Impact of socio-economic position on health and quality of care in adults with Type 2 diabetes in France: the Entred 2007 study. Diabet Med J Br Diabet Assoc 2015; 32: 1438-44
29. Olesen C, Thrane N, Henriksen TB et al. Associations between socio-economic factors and the use of prescription medication during pregnancy: a population-based study among 19, 874 Danish women. Eur J Clin Pharmacol 2006; 62: 547-53
30. Odubanjo E, Bennett K, Feely J. Influence of socioeconomic status on the quality of prescribing in the elderly -a population based study. Br J Clin Pharmacol 2004; 58: 496-502