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Understanding adherence to official guidelines on statin prescribing in primary health care—a multi-level methodological approach

  • Pharmacoepidemiology and Prescription
  • Published:
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Abstract

Objective

The aim was to investigate the role that municipalities and out-patient health care centres (HCCs) have in understanding adherence to official guidelines on statin prescribing. Our hypothesis was that after guideline publication, adherence to recommended statin prescription would increase and variance among HCCs and municipalities would decrease. Since multi-level regression analysis (MLRA) is a relatively new methodology in pharmacoepidemiology, we also aimed to explore the application of MLRA in our investigation.

Methods

We obtained data from the Swedish Corporation of Pharmacies record of sales regarding all initial prescriptions of statins issued between April and December 2003. We applied multi-level analysis on 34,514 individual prescriptions (level 1) nested within 226 HCCs (level 2), which in turn were nested within 33 municipalities (level 3). Temporal trends and gender differences were investigated by means of random slope analysis. Variance was expressed using median odds ratio (MOR) and interval odds ratio.

Results

HCCs appeared to be more relevant than municipalities for understanding the physicians’ propensity to prescribe a recommended statin (MORHCC=1.96 and MORMunicipality=1.41). Overall prevalence of adherence was very low (about 20%). After publication of the guidelines, prescription of recommended statins increased, and variance among HCCs decreased but only during the first 4 months of the observation period.

Conclusion

The publication of official guidelines in the county of Scania exerted a positive influence on statin prescription but, at the end of the observation period, adherence was still low and practice variation high. These facts may reflect inefficient therapeutic traditions and suggest that more intensive interventions may be necessary to promote rational statin prescription.

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References

  1. Sjöqvist F, Dahl M-L, Gustafsson L, Hensjö L-O (2002) Drug therapeutics committees: a Swedish experience. WHO Drug Inf 16:207–213

    Google Scholar 

  2. WHO (1987) WHO Conference of Experts on the Rational Use of Drugs, Nairobi, Geneva, Switzerland

  3. Barber N (1995) What constitutes good prescribing? BMJ 310(6984):923–925

    PubMed  CAS  Google Scholar 

  4. Läkemedelsförsäljningen i Sverige—analys och prognos, Maj 2004 (Drug sales in Sweden—analysis and prognosis, May 2004) [in Swedish]. Socialstyrelsen; Stockholm, Sweden, 2004

  5. Merlo J (2003) Multilevel analytical approaches in social epidemiology: measures of health variation compared with traditional measures of association. J Epidemiol Community Health 57(8):550–552

    Article  PubMed  CAS  Google Scholar 

  6. Lopez-Valcarcel B, Ortun-Rubio V, Cabez-Mora A, Lopez-Cabañas A, Diaz-Berenger J, Alamo-Santana F (2002) Evaluation del uso apropiado de medicamentos en atencion primaria. Como se puede mejorar? (Evaluation of the appropriate use of medication in primary care—how do we improve it?) [in Spanish]. Aten Primaria 30:467–471

    PubMed  Google Scholar 

  7. Rasbash J, Steele F, Browne W (2003) Logistic models for binary and binomial responses. In: A user’s guide to MLwiN. Version 2.0. Documentation Version 2.1e. Centre for Multilevel Modelling, Institute of Education, University of London, London, UK

  8. Larsen K, Merlo J (2005) Appropriate assessment of neighborhood effects on individual health: integrating random and fixed effects in multilevel logistic regression. Am J Epidemiol 161(1):81–88

    Article  PubMed  Google Scholar 

  9. Goldstein H (2003) Multilevel statistical models, 3rd edn. Hodder Arnold, London, UK

    Google Scholar 

  10. Snijders T, Bokser R (1999) Multilevel analysis: an introduction to basic and advanced multilevel modeling. Sage Publications, Thousand Oaks, CA

    Google Scholar 

  11. Burton P, Gurrin L, Sly P (1998) Extending the simple linear regression model to account for correlated responses: an introduction to generalized estimating equations and multi-level mixed modelling. Stat Med 17(11):1261–1291

    Article  PubMed  CAS  Google Scholar 

  12. Rasbash J, Steele F, Browne W (2003) A user’s guide to MLwiN. Version 2.0. Documentation Version 2.1e. Centre for Multilevel Modelling, Institute of Education, University of London, London, UK

  13. Rasbash J, Browne W, Goldstein H, Yang M, Plewis I, Healy M et al (2003)Modelling the variance as a function of explanatory variables. In: A user’s guide to MLwiN. Version 2.0. Documentation Version 2.1e. Institute of Education, University of London, London, UK

  14. Merlo J, Yang M, Chaix B, Lynch J (2005) A brief conceptual tutorial of multilevel analysis in social epidemiology—investigating contextual phenomena in different groups of individuals. J Epidemiol Community Health (in press)

  15. Merlo J, Chaix B, Yang M, Lynch J, Råstam L (2005) A brief conceptual tutorial of multilevel analysis in social epidemiology—linking the statistical concept of clustering to the idea of contextual phenomenon. J Epidemiol Community Health 59:443–449

    Article  PubMed  Google Scholar 

  16. Merlo J, Chaix B, Yang M, Lynch J, Råstam L (2005) A brief conceptual tutorial of multilevel analysis in social epidemiology—interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health. J Epidemiol Community Health, in press

  17. Goldstein H, Browne W, Rasbash J (2002) Partitioning variation in generalised linear multilevel models. Understand Stat 1:223–232

    Article  Google Scholar 

  18. Larsen K, Petersen JH, Budtz-Jorgensen E, Endahl L (2000) Interpreting parameters in the logistic regression model with random effects. Biometrics 56(3):909–914

    Article  PubMed  CAS  Google Scholar 

  19. Zeger SL, Liang KY, Albert PS (1988) Models for longitudinal data: a generalized estimating equation approach. Biometrics 44(4):1049–1060

    Article  PubMed  MathSciNet  CAS  Google Scholar 

  20. Merlo J, Chaix B, Ohlsson H, Beckman A, Johnell K, Hjerpe P et al (2005) A brief con-ceptual tutorial of multilevel analysis in social epidemiology—using measures of clustering in multi-level logistic regression to investigate contextual phenomena. J Epidemiol Community Health, in press

  21. McMahon AD (2003) Approaches to combat with confounding by indication in observational studies of intended drug effects. Pharmacoepidemiol Drug Saf 12(7):551–558

    Article  PubMed  Google Scholar 

  22. Davis P, Gribben B (1995) Rational prescribing and interpractitioner variation. A multilevel approach. Int J Technol Assess Health Care 11(3):428–442

    Article  PubMed  CAS  Google Scholar 

  23. Davis P, Gribben B, Lay-Yee R, Scott A (2002) How much variation in clinical activity is there between general practitioners? A multi-level analysis of decision-making in primary care. J Health Serv Res Policy 7(4):202–208

    Article  PubMed  Google Scholar 

  24. Hjerpe P, Fornwall S, Merlo J (2004) Therapeutic traditions and compliance with local therapeutic guidelines on lipid lowering drugs—a multilevel analysis in the Skaraborg Primary Healthcare Database (SPHD). In: International Society for Pharmacoepidemiology, Bordeaux, 2004

  25. Smits HL (1986) Medical practice variations revisited. Health Aff (Millwood) 5(3):91–96

    Article  CAS  Google Scholar 

  26. Davis P, Gribben B, Scott A, Lay-Yee R (2000) The “supply hypothesis” and medical practice variation in primary care: testing economic and clinical models of inter-practitioner variation. Soc Sci Med 50(3):407–418

    Article  PubMed  CAS  Google Scholar 

  27. Wennberg JE, Barnes BA, Zubkoff M (1982) Professional uncertainty and the problem of supplier-induced demand. Soc Sci Med 16(7):811–824

    Article  PubMed  CAS  Google Scholar 

  28. Flood AB, Wennberg JE, Nease RF Jr, Fowler FJ Jr, Ding J, Hynes LM (1996) The importance of patient preference in the decision to screen for prostate cancer. Prostate Patient Outcomes Research Team. J Gen Intern Med 11(6):342–349

    Article  PubMed  CAS  Google Scholar 

  29. Zara C, Torralba M, Sotoca JM, Prat A, Faixedas MT, Gilabert A (2005) The impact of new drug introduction on drug expenditure in primary health care in Catalunya, Spain. Ann Pharmacother 39(1):177–182

    PubMed  Google Scholar 

  30. Anonymous (2003) Behandling med lipidsänkande läkemedel vid prevention av hjärt-kärlsjukdomar. (Treatment with lipid-lowering drugs for prevention of heart diseases) [in Swedish]. Information från Läkemedelsverket 14:4 (ISSN 1101-7104)

  31. LaRosa JC, He J, Vupputuri S (1999) Effect of statins on risk of coronary disease: a meta-analysis of randomized controlled trials. JAMA 282(24):2340–2346

    Article  PubMed  CAS  Google Scholar 

  32. Vrecer M, Turk S, Drinovec J, Mrhar A (2003) Use of statins in primary and secondary prevention of coronary heart disease and ischemic stroke. Meta-analysis of randomized trials. Int J Clin Pharmacol Ther 41(12):567–577

    PubMed  CAS  Google Scholar 

  33. Jaye C, Tilyard M (2002) A qualitative comparative investigation of variation in general practitioners’ prescribing patterns. Br J Gen Pract 52(478):381–386

    PubMed  Google Scholar 

  34. Ohlsson O, Kjellström T (2003) Landsomfattande konsensus för behandling av höga blodfetter (För landets läkemedelskommittéordförande LOK). Lund, Sweden; 1/10 2003

  35. Anonymous (2003) The statin wars: why AstraZeneca must retreat. Lancet 362(9393):1341

    Article  PubMed  Google Scholar 

  36. Anonymous (2004) Läkemedelsverket. Produktresumén revideras för Crestor 2004-06-09

  37. Merlo J, Liedholm H, Lindblad U, Bjorck-Linne A, Falt J, Lindberg G et al (2001) Prescriptions with potential drug interactions dispensed at Swedish pharmacies in January 1999: cross-sectional study. BMJ 323(7310):427–428

    Article  PubMed  CAS  Google Scholar 

  38. Hakansson A, Andersson H, Cars H, Melander A (2001) Prescribing, prescription costs and adherence to formulary committee recommendations: long-term differences between physicians in public and private care. Eur J Clin Pharmacol 57(1):65–70

    Article  PubMed  CAS  Google Scholar 

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Acknowledgements

This study was supported by grants from the Scania Region’s Health Care Research Funds, the Swedish Council for Working Life and Social Research (FAS) (Juan Merlo; Dnr 2003-0580), and the Swedish Research Council (VR) (Juan Merlo; Dnr 2004-6155).

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Correspondence to H. Ohlsson or J. Merlo.

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This study has been presented as an abstract at the 20th International Conference of Pharmacoepidemiology and Therapeutic Risk Management, Bordeaux, France, in August 2004; the 3rd Nordic Conference in Epidemiology, Kuopio, Finland, in June 2004; and the first Nordic Social Pharmacy and Health Service Research Conference, Uppsala, Sweden, in October 2004.

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Ohlsson, H., Lindblad, U., Lithman, T. et al. Understanding adherence to official guidelines on statin prescribing in primary health care—a multi-level methodological approach. Eur J Clin Pharmacol 61, 657–665 (2005). https://doi.org/10.1007/s00228-005-0975-9

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  • DOI: https://doi.org/10.1007/s00228-005-0975-9

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