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Central European Journal of Medicine

, Volume 8, Issue 6, pp 855–860 | Cite as

Use of medications amongst older persons in Kaunas, Lithuania

  • Aurima Stankunienė
  • Mindaugas Stankunas
  • Mark Avery
  • Raimondas Radziunas
  • Joaquim F. J. Soares
  • M. Gabriella Melchiorre
  • Francisco Torres-Gonzalez
  • Algirdas Baranauskas
  • Jutta Lindert
Research Article

Abstract

Aim

To evaluate the associations between socio-economical factors and the use of medications in the elderly.

Methods

The data was collected in a cross-sectional study in 2009. We received 624 completed questionnaires (response rate — 48.9%) from elderly people aged 60–84 years living in Kaunas (Lithuania). For an evaluation of the impact of explanatory variables on the analyzed events (binary dependent variable), an Enter model of logistic regression was used.

Results

Our findings suggest that 50.8% (n=317) of respondents used at least one drug daily. 18.3% (n=114) of respondents indicated that they use medications regularly, but not on a day-by-day basis. One quarter (25.6%; n=160) used medication only on an “at need” basis. Only 5.3% (n=33) of older persons did not use any medications at all. Logistic regression showed that being male (OR=0.67; 95%CI:0.45–0.98) was associated with using medications “regularly + daily.” For the use of “daily” medications, older age (OR=1.33; 95%CI:1.15–1.53) was associated with using medications daily. An opposite association was observed for respondents having no paid work (OR=0.48; 95%CI:0.26–0.82).

Conclusions

Our study suggests that more than half of older persons in Lithuania use medications every day. Use was associated with socioeconomic factors (gender, age, and employment status).

Keywords

Older persons Medication use Lithuania ABUEL 

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References

  1. [1]
    Kaledien R., Sauliune S., Mortality of Lithuanian population over 2 decade of independence: critical points and contribution of major causes of death, Medicina (Kaunas), 2013, 49, 36–41Google Scholar
  2. [2]
    Biermann U., Stiller S., Migration in the Baltic Sea region in the context of demographic change, J. East-West Business, 2013, 19, 105–121CrossRefGoogle Scholar
  3. [3]
  4. [4]
  5. [5]
    Soares J.J., Barros H., Torres-Gonzales F., Ioannidi-Kapolou E., Lamura J., Lindert J. et al., Abuse and Health Among Elderly in Europe, Kaunas, Lithuanian University of Health Sciences Press, 2010Google Scholar
  6. [6]
    Kanopiene V., Mikulioniene S., Population ageing and its challenges to health care system, Gerontologija, 2000, 7, 188–200Google Scholar
  7. [7]
    Department of Statistics of Lithuania, Number of medications users, Vilnius, 2005, http://db1.stat.gov.lt
  8. [8]
    Office of Health Economics, Compendium of Health Statistics (9th Eds), London, 1995Google Scholar
  9. [9]
    Rechel B., Doyle Y., Grundy E., McKee M., How can health systems respond to population ageing?, Copenhagen, World Health Organization, on behalf of the European Observatory on Health Systems and Policies, 2009Google Scholar
  10. [10]
    Oxley H., Policies for healthy ageing: an overview, Paris, OECD, 2009CrossRefGoogle Scholar
  11. [11]
    Ritsatakis A (Eds.), Demystifying the myths of ageing, Copenhagen, WHO Regional Office for Europe, 2008Google Scholar
  12. [12]
    Curtis L.H., Ostbye T., Sendersky V., Hutchison S., Dans P.E., Wright A., et al., Inappropriate prescribing for elderly Americans in a large outpatient population, Arch. Intern. Med., 2004, 164, 1621–1625PubMedCrossRefGoogle Scholar
  13. [13]
    Dimitrow M.S., Airaksinen M.S., Kivela S.L., Lyles A., Leikola S.N., Comparison of prescribing criteria to evaluate the appropriateness of drug treatment in individuals aged 65 and older: A systematic review, J. Am. Geriatr. Soc., 2011, 59, 1521–1530PubMedCrossRefGoogle Scholar
  14. [14]
    Molony S.L., Monitoring medication use in older adults, Am. J. Nurs., 2009, 109, 68–78PubMedCrossRefGoogle Scholar
  15. [15]
    Antanaviciene J., Management of drug use in older patients. MPH thesis, Lithuanian University of Health Sciences, Department of Health Management, 2010Google Scholar
  16. [16]
    Plieskis M., The accessibility of the primary health care and the citizens satisfaction with the services in the context of the development of family medicine, PhD dissertation, Lithuanian University of Health Sciences, Department of Health Management, 2005Google Scholar
  17. [17]
    Stankuniene A., Radziunas R., Stankunas M., Soares J.F., Baranauskas A., Ioannidi-Kapolou E. et al., Causes of refrain from buying prescribed medications among the elderly in Kaunas, Lithuania, Medicina (Kaunas), 2011, 47, 291–296Google Scholar
  18. [18]
    Heisler M., Langa K.M., Eby E.L., Fendrick M., Kabeto M.U., Piette J.D., The health effects of restricting prescription medication use because of cost, Medical Care, 2004, 42, 626–634PubMedCrossRefGoogle Scholar
  19. [19]
    Cooper C.A., Selwood A., Livingston G., The prevalence of elder abuse and neglect. A systematic review, Age Ageing, 2008, 37, 151–160PubMedCrossRefGoogle Scholar
  20. [20]
    Lindert J., Luna J., Torres-Gonzalez F., Barros H., Ioannidi-Kapolou E., Quattrini S. at al., Study design, sampling and assessment methods of the European study “Abuse of the Elderly in the European Region”, Eur. J. Public Health, 2012, 22, 662–666PubMedCrossRefGoogle Scholar
  21. [21]
    Jyrkka J., Enlund H., Korhonen M.J., Sulkava R., Hartikainen S., Patterns of drug use and factors associated with polypharmacy and excessive polypharmacy in elderly persons: results of the Kuopio 75+ study: a cross-sectional analysis, Drugs Aging, 2009, 26, 493–503PubMedCrossRefGoogle Scholar
  22. [22]
    Chen Y.F., Dewey M.E., Avery A.J., Analysis Group of The MRCCFA Study, The Medical Research Council Cognitive Function and Ageing Study (MRC CFAS) Self-reported medication use for older people in England and Wales, J. Clin. Pharm. Ther. 2001, 26, 129–140PubMedCrossRefGoogle Scholar
  23. [23]
    Special Eurobarometer 345, Mental Health, 2010, http://ec.europa.eu/health/mental_health/docs/ebs_345_en.pdf
  24. [24]
    Correa-de-Araujo R., Miller G.E., Banthin J.S., et al., Gender differences in drug use and expenditures in a privately insured population of older adults, J. Womens Health, 2005, 14, 73–81CrossRefGoogle Scholar
  25. [25]
    Stankunas M., Soares J.F.J., Stankuniene A., Melchiorre M.G, Torres-Gonzales F., Ioannidi-Kapolou E., et al. Differences in reporting somatic complaints in elderly by education level, Cent. Eur. J. Med., 2013, 8, 125–131CrossRefGoogle Scholar
  26. [26]
    Linjakumpu T., Hartikainen S., Klaukka T., Veijola J., Kivela S.L., Isoaho R., Use of medications and polypharmacy are increasing among the elderly, J. Clin. Epidemiol., 2002, 55, 809–817PubMedCrossRefGoogle Scholar
  27. [27]
    Obermeyer C.M., Schulein M., Hardon A., Sievert L.L., Price K., Santiago A.C., et al., Gender and medication use: an exploratory, multi-site study, Women Health, 2004, 39, 57–73PubMedCrossRefGoogle Scholar
  28. [28]
    World Health Organization, Health21: The health for all policy framework for the WHO European Region, Copenhagen, 1999Google Scholar
  29. [29]
    Piette J.D., Hiesler M., Wagner T.H., Problems paying out-of-pocket medication costs among older adults with diabetes, Diabetes Care, 2004, 27, 384–391PubMedCrossRefGoogle Scholar
  30. [30]
    Kemp A., Roughead E., Preen D., Glover J., Semmens J., Determinants of self-reported medicine underuse due to cost: a comparison of seven countries, J. Health Serv. Res. Policy, 2010, 15, 106–114PubMedCrossRefGoogle Scholar
  31. [31]
    Kennedy J., Christopher E., Prescription noncompliance due to costs among adults with disabilities in the United States, Am. J. Public Health, 2002, 92, 1120–1124PubMedCrossRefGoogle Scholar
  32. [32]
    Carrie A., Impact of residence on prevalence and intensity of prescription drug use among older adults, Ann. Pharmacoter., 2006, 40, 1932–1938CrossRefGoogle Scholar
  33. [33]
    Murrell S.A., Meeks S., Psychological, economic, and social mediators of the education-health relationship in older adults, J. Aging Health, 2002, 14, 527–550PubMedCrossRefGoogle Scholar
  34. [34]
    Avlund K., Davidsen M., Schroll M., Changes in functional ability from ages 70 to 75, J. Aging Health, 1995, 7, 254–282PubMedCrossRefGoogle Scholar
  35. [35]
    Morgan M., Marital status, health, illness, and service use, Soc. Sci. Med., 1980, 14A, 633–643Google Scholar
  36. [36]
    Bobak M., Pikhart H., Rose R., Hertzman C., Marmot M., Socioeconomic factors, material inequalities, and perceived control in self-rated health: cross-sectional data from seven post-communist countries, Soc. Sci. Med., 2000, 51, 1343–1350PubMedCrossRefGoogle Scholar
  37. [37]
    Stankunas M., Kalediene R., Starkuviene S., Sense of coherence and its associations with psychosocial health: results of survey of the unemployed in Kaunas, Medicina (Kaunas), 2009, 45, 807–813Google Scholar
  38. [38]
    State Social Insurance Fund Board under the Ministry of Social Security and Labour of Republic of Lithuania, Main social factors, http://www.sodra.lt/index.php?cid=284
  39. [39]
    National Health Insurance Fund under the Ministry of Health of Republic of Lithuania, Information about the PSDF budget expenses for compensation of costs for buying medical equipment, http://www.vlk.lt/vlk/pag/files/kv/2009m_kv_islaidos.pdf

Copyright information

© Versita Warsaw and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Aurima Stankunienė
    • 1
  • Mindaugas Stankunas
    • 2
    • 3
  • Mark Avery
    • 3
  • Raimondas Radziunas
    • 1
  • Joaquim F. J. Soares
    • 4
  • M. Gabriella Melchiorre
    • 5
  • Francisco Torres-Gonzalez
    • 6
  • Algirdas Baranauskas
    • 1
  • Jutta Lindert
    • 7
    • 8
  1. 1.Department of Pharmaceutical Technology and Social PharmacyLithuanian University of Health SciencesKaunasLithuania
  2. 2.Department of Health ManagementLithuanian University of Health SciencesKaunasLithuania
  3. 3.School of MedicineGriffith UniversityGold CoastAustralia
  4. 4.Institution for Health Sciences, Department of Public Health ScienceMid Sweden UniversitySundsvallSweden
  5. 5.Scientific Technological Area, Socio Economic Research CentreItalian National Institute of Health and Science on Aging (INRCA)AnconaItaly
  6. 6.Centro de Investigación Biomedica en Red de Salud Mental” CIBERSAM-Granada UniversityGranadaSpain
  7. 7.Department of Public HealthProtestant University of Applied SciencesLudwigsburgGermany
  8. 8.Department of Psychology and SociologyUniversity of LeipzigLeipzigGermany

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