Skip to main content
Log in

Epidemiologische Studien als Teil des HTA-Bewertungsprozesses

Epidemiological studies in the HTA evaluation process

  • Leitthema: HTA — was verbirgt sich dahinter?
  • Published:
Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz Aims and scope

Zusammenfassung

Bei der Bewertung des Behandlungsnutzens medizinischer Leistungen im Rahmen des Health Technology Assessments (HTA) sollten auch die Ergebnisse epidemiologischer Beobachtungsstudien als Teil der vorhandenen Evidenz berücksichtigt werden. Pharmakoepidemiologische Datenbanken können ein breiteres Verständnis der Wirksamkeit von Arzneimitteln bei in klinischen Studien unterrepräsentierten Populationen vermitteln und dazu beitragen, das Auftreten unerwünschter Wirkungen in Abhängigkeit von soziodemografischen und versorgungsbezogenen Merkmalen näher zu untersuchen. Sie tragen damit dazu bei, eine auf bestimmte Patientengruppen gezielt abgestimmte Arzneimitteltherapie zu ermöglichen. Der vorliegende Artikel diskutiert die Möglichkeiten und Schwierigkeiten, datenbankbasierte Ergebnisse am Beispiel pharmakoepidemiologischer Asthmastudien angesichts vielfältiger Biasquellen zu interpretieren und in den HTA-Bewertungsprozess zu integrieren. Die Entwicklung eines standardisierten Methodeninventars, z. B. bei der gepoolten Analyse epidemiologischer Studien, erfordert erhebliche Anstrengungen auf Seiten der epidemiologischen Forschung.

Abstract

Results of epidemiological studies should be considered as part of the available evidence when evaluating drug treatment benefits in health technology assessment (HTA). Pharmacoepidemiological databases can provide a broader understanding of the effectiveness of drugs in populations that are frequently underrepresented in clinical trials. Such databases are also useful to investigate drug safety with regard to socio-demographic and medical care-related indicators and hereby contribute to an optimal and targeted pharmacological therapy. Using examples from pharmacoepidemiological asthma studies, the present article discusses associated difficulties in interpreting database results against the background of various sources of bias and proposes possibilities for integrating observational data into the HTA evaluation process. Researchers are challenged to engage in considerable efforts to develop a standardized inventory of epidemiological methods, e.g. for the pooled analysis of epidemiological data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Literatur

  1. Sutton AJ, Abrams KR, Jones DR et al. (1998) Systematic reviews of trials and other studies. Health Technol Assess 2(19):1–276

    Google Scholar 

  2. Egger M, Smith GD (1997) Meta-Analysis. Potentials and promise. BMJ 315(7119):1371–1374

    PubMed  Google Scholar 

  3. Deeks J, Glanville J, Sheldon T (1996) CRD guidelines for those carrying out or commissioning reviews. Centre for Reviews and Dissemination York (ed) 4. Aufl. York Publishing Services Ltd, York

  4. Strom BL (2000) Pharmacoepidemiology, 3. Aufl. Wiley & Sons, Chichester

  5. Rawlins MD (1995) Pharmacovigilance: paradise lost, regained or postponed? The William Withering Lecture 1994. J R Coll Physicians Lond 29(1):41–49

    PubMed  Google Scholar 

  6. Garbe E, Suissa S (2005) Pharmacoepidemiology. In: Ahrens W, Pigeot I (eds) Handbook of epidemiology. Springer, Berlin Heidelberg New York Tokyo, S 1225–1266

  7. Ernst E, Pittler MH (2001) Assessment of therapeutic safety in systematic reviews: literature review. BMJ 323(7312):546

    Article  PubMed  Google Scholar 

  8. Wiholm BE, Olsson S, Moore N, Waller P (2000) Spontaneous reporting systems outside the US. In: Strom BL (ed) Pharmacoepidemiology. Wiley & Sons, Chichester, pp 175–192

  9. Edwards IR, Lindquist M, Wiholm BE, Napke E (1990) Quality criteria for early signals of possible adverse drug reactions. Lancet 336(8708):156–158

    Article  PubMed  Google Scholar 

  10. Venning GR (1983) Identification of adverse reactions to new drugs. III: Alerting processes and early warning systems. BMJ 286(6363):458–460

    PubMed  Google Scholar 

  11. Haramburu F, Begaud B, Moride Y (1997) Temporal trends in spontaneous reporting of unlabelled adverse drug reactions. Br J Clin Pharmacol 44(3):299–301

    Article  PubMed  Google Scholar 

  12. Püntmann I, Breier-Wolski C, Mühlbauer B (2005) Perspektiven der Pharmakovigilanz in Deutschland. Bremer Ärzte J 58(6):14

  13. Schernhammer ES, Kang JH, Chan AT et al. (2004) A prospective study of aspirin use and the risk of pancreatic cancer in women. J Natl Cancer Inst 96(1):22–28

    PubMed  Google Scholar 

  14. Bleumink GS, Deinum J, Mosterd A et al. (2004) Antihypertensive treatment is associated with improved left ventricular geometry: the Rotterdam Study. Pharmacoepidemiol Drug Saf 13(10):703–709

    Article  PubMed  Google Scholar 

  15. Jick H, Miettinen OS, Shapiro S et al. (1970) Comprehensive drug surveillance. JAMA 213(9):1455–1460

    Article  PubMed  Google Scholar 

  16. Bowles SK, Lee W, Simor AE et al. (2002) Use of oseltamivir during influenza outbreaks in Ontario nursing homes, 1999–2000. J Am Geriatr Soc 50(4):608–616

    Article  PubMed  Google Scholar 

  17. Parker R, Loewen N, Skowronski D (2001) Experience with oseltamivir in the control of a nursing home influenza B outbreak. Canada Communicable Dis Rep 27(5):37–40

    Google Scholar 

  18. Chik KW, Li CK, Chan PK et al. (2004) Oseltamivir prophylaxis during the influenza season in a paediatric cancer centre: prospective observational study. Hong Kong Med J 10(2):103–106

    PubMed  Google Scholar 

  19. Pigeot I, Ahrens W, Bödeker W, Weidmann E (2004) Datenbanken als Grundlage für Monitoring-Systeme in der Arzneimittelsicherheit. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 47(6):513–517

    PubMed  Google Scholar 

  20. Iezzoni LI (1997) Assessing quality using administrative data. Ann Intern Med 127(8 Pt 2):666–674

    PubMed  Google Scholar 

  21. Selby JV (1997) Linking automated databases for research in managed care settings. Ann Intern Med 127(8 Pt 2):719–724

    PubMed  Google Scholar 

  22. Laurier C, Kennedy W, Gariepy L et al. (1997) Utilization of anti-asthma medications in two Quebec populations of anti-asthma medication users: a prescription database analysis. Chronic Dis Can 18(1):20–26

    PubMed  Google Scholar 

  23. Schröder-Bernhardi D, Roth K, Dietlein G (2004) Off-label use of proton pump inhibitors and P-blockers in general practices: an analysis using the Disease Analyzer-mediplus patient database. Int J Clin Pharmacol Ther 42(11):581–588

    PubMed  Google Scholar 

  24. Blais L, Suissa S, Boivin JF, Ernst P (1998) First treatment with inhaled corticosteroids and the prevention of admissions to hospital for asthma. Thorax 53(12):1025–1029

    PubMed  Google Scholar 

  25. Suissa S, Ernst P, Benayoun S et al. (2000) Low-dose inhaled corticosteroids and the prevention of death from asthma. N Engl J Med 343(5):332–336

    Article  PubMed  Google Scholar 

  26. Suissa S, Ernst P, Kezouh A (2002) Regular use of inhaled corticosteroids and the long term prevention of hospitalisation for asthma. Thorax 57(10):880–884

    Article  PubMed  Google Scholar 

  27. Ernst P, Spitzer WO, Suissa S et al. (1992) Risk of fatal and near-fatal asthma in relation to inhaled corticosteroid use. JAMA 268(24):3462–3464

    Article  PubMed  Google Scholar 

  28. Suissa S, Assimes T, Brassard P, Ernst P (2003) Inhaled corticosteroid use in asthma and the prevention of myocardial infarction. Am J Med 115(5):377–381

    Article  PubMed  Google Scholar 

  29. Spitzer WO, Suissa S, Ernst P et al. (1992) The use of beta-agonists and the risk of death and near death from asthma. N Engl J Med 326(8):501–506

    PubMed  Google Scholar 

  30. Suissa S (1995) The case-time-control design. Epidemiology 6(3):248–253

    PubMed  Google Scholar 

  31. Blais L, Ernst P, Suissa S (1996) Confounding by indication and channeling over time: the risks of beta 2-agonists. Am J Epidemiol 144(12):1161–1169

    PubMed  Google Scholar 

  32. Suissa S, Ernst P (2005) Bias in observational study of the effectiveness of nasal corticosteroids in asthma. J Allergy Clin Immunol 115(4):714–719

    Article  PubMed  Google Scholar 

  33. Blais R, Gregoire JP, Rouleau R et al. (2001) Ambulatory use of inhaled beta(2)-agonists for the treatment of asthma in Quebec : a population-based utilization review. Chest 119(5):1316–1321

    Article  PubMed  Google Scholar 

  34. Finkelstein JA, Barton MB, Donahue JG et al. (2000) Comparing asthma care for Medicaid and non-Medicaid children in a health maintenance organization. Arch Pediatr Adolesc Med 154(6):563–568

    PubMed  Google Scholar 

  35. Finkelstein JA, Lozano P, Farber HJ et al. (2002) Underuse of controller medications among Medicaid-insured children with asthma. Arch Pediatr Adolesc Med 156(6):562–567

    PubMed  Google Scholar 

  36. Blais L, Beauchesne MF (2004) Use of inhaled corticosteroids following discharge from an emergency department for an acute exacerbation of asthma. Thorax 59(11):943–947

    Article  PubMed  Google Scholar 

  37. Chen CY, Chiu HF, Yeh MK et al. (2003) The use of anti-asthmatic medications among pediatric patients in Taiwan. Pharmacoepidemiol Drug Saf 12(2):129–133

    Article  PubMed  Google Scholar 

  38. Gaist D, Hallas J, Hansen NC, Gram LF (1996) Are young adults with asthma treated sufficiently with inhaled steroids? A population-based study of prescription data from 1991 and 1994. Br J Clin Pharmacol 41(4):285–289

    Article  PubMed  Google Scholar 

  39. Stempel DA, Durcannin-Robbins JF, Hedblom EC et al. (1996) Drug utilization evaluation identifies costs associated with high use of beta-adrenergic agonists. Ann Allergy Asthma Immunol 76(2):153–158

    PubMed  Google Scholar 

  40. Herbold M (1993) Meta-analysis of environmental and occupational epidemiological studies: a method demonstrated using the carcinogenicity of PCBs as an example. Soz Praventivmed 38(4):185–189

    Article  PubMed  Google Scholar 

  41. Hill AB (1965) The environment and disease: association or causation? Proc R Soc Med 58:295–300

    PubMed  Google Scholar 

  42. Blettner M, Schlattmann P (2005) Meta-Analyses in Epidemiology. In: Ahrens W, Pigeot I (eds) Handbook of epidemiology. Springer, Berlin Heidelberg New York Tokyo, pp 829–857

  43. Dickersin K, Berlin JA (1992) Meta-analysis: state-of-the-science. Epidemiol Rev 14:154–176

    PubMed  Google Scholar 

  44. Egger M, Schneider M, Davey SG (1998) Spurious precision? Meta-analysis of observational studies. BMJ 316(7125):140–144

    PubMed  Google Scholar 

  45. Dickersin K (2002) Systematic reviews in epidemiology: why are we so far behind? Int J Epidemiol 31(1):6–12

    Article  PubMed  Google Scholar 

  46. Zhong L, Goldberg MS, Parent ME, Hanley JA (2000) Exposure to environmental tobacco smoke and the risk of lung cancer: a meta-analysis. Lung Cancer 27(1):3–18

    Article  PubMed  Google Scholar 

  47. Greenland S (1987) Quantitative methods in the review of epidemiologic literature. Epidemiol Rev 9:1–30

    PubMed  Google Scholar 

  48. Blair A, Burg J, Foran J et al. (1995) Guidelines for application of meta-analysis in environmental epidemiology. ISLI Risk Science Institute. Regul Toxicol Pharmacol 22(2):189–197

    Article  PubMed  Google Scholar 

  49. Spitzer WO (1991) Meta-meta-analysis: unanswered questions about aggregating data. J Clin Epidemiol 44(2):103–107

    Article  PubMed  Google Scholar 

  50. Blettner M (1996) Kritische Bewertungen von Meta-Analysen in der Epidemiologie. Arbeitsmed Sozialmed Umweltmed 31(4):146–151

    Google Scholar 

  51. Apelberg BJ, Aoki Y, Jaakkola JJ (2001) Systematic review: Exposure to pets and risk of asthma and asthma-like symptoms. J Allergy Clin Immunol 107(3):455–460

    Article  PubMed  Google Scholar 

Download references

Interessenkonflikt:

Keine Angaben

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T. Behrens.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Behrens, T., Ahrens, W. Epidemiologische Studien als Teil des HTA-Bewertungsprozesses. Bundesgesundheitsbl - Gesundheitsforsch - Gesundheitsschutz 49, 264–271 (2006). https://doi.org/10.1007/s00103-005-1222-3

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00103-005-1222-3

Schlüsselwörter

Keywords

Navigation