The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Adherence to Lipid-lowering Therapy and the Use of Preventive Health Services: An Investigation of the Healthy User Effect
Abstract
Patients who adhere to preventive therapies may be more likely to engage in a broad spectrum of behaviors consistent with a healthy lifestyle. Because many of these behaviors cannot be measured easily, observational studies of outcomes associated with the long-term use of preventive therapies are subject to the so-called "healthy user bias." To better understand this effect, the authors examined the association between adherence to statin therapy and the use of preventive health services in a Pennsylvania cohort of 20,783 new users of statins between 1996 and 2004. After adjustment for age, gender, and various comorbid conditions, patients who filled two or more prescriptions for a statin during a 1-year ascertainment period were more likely than patients who filled only one prescription to receive prostate-specific antigen tests (hazard ratio (HR)=1.57, 95% confidence interval (CI): 1.17, 2.19), fecal occult blood tests (HR=1.31, 95% CI: 1.12, 1.53), screening mammograms (HR=1.22, 95% CI: 1.09, 1.38), influenza vaccinations (HR=1.21, 95% CI: 1.12, 1.31), and pneumococcal vaccinations (HR=1.46, 95% CI: 1.17, 1.83) during follow-up. These results suggest that patients who adhere to chronic therapies are more likely to seek out preventive health services, such as screening tests and vaccinations. Further work is needed to identify study design and analysis methods that can be used to minimize the healthy user bias in studies of preventive therapies.
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Cites
Osterberg, L., & Blaschke, T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra050100 · Cited by 7,974
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Causal Diagrams for Epidemiologic Research
Greenland, S., Pearl, J., & Robins, J. M. (1999) · Epidemiology · doi:10.1097/00001648-199901000-00008 · Cited by 3,728
A structural approach to selection bias
Hernán, M. A., Hernández-Díaz, S., & Robins, J. M. (2004) · Epidemiology · doi:10.1097/01.ede.0000135174.63482.43 · Cited by 2,844 · cited 1×
“In this hypothetical scenario, selection is a ‘‘collider’’ variable (22), and conditioning on it can create an association between adherence and testing (23).”
BackgroundA meta-analysis of the association between adherence to drug therapy and mortality
Simpson, S. H., Eurich, D. T., Majumdar, S. R., Padwal, R. S., Tsuyuki, R. T., Varney, J., & Johnson, J. A. (2006) · BMJ · doi:10.1136/bmj.38875.675486.55 · Cited by 1,353 · cited 3×
“A recent meta-analysis of 21 randomized clinical trials found that patients who were adherent to placebo had lower rates of mortality than did other patients in the placebo arm who were less adherent (1).”
BackgroundMethod
Cited by
Medication Adherence: Its Importance in Cardiovascular Outcomes
Ho, P. M., Bryson, C. L., & Rumsfeld, J. S. (2009) · Circulation · doi:10.1161/circulationaha.108.768986 · Cited by 1,488
Lund, J. L., Richardson, D. B., & Stürmer, T. (2015) · Current Epidemiology Reports · doi:10.1007/s40471-015-0053-5 · Cited by 739
Comparison of drug adherence rates among patients with seven different medical conditions
Briesacher, B. A., Andrade, S. E., Fouayzi, H., & Chan, K. A. (2008) · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · doi:10.1592/phco.28.4.437 · Cited by 587
A Review of Diabetes Treatment Adherence and the Association with Clinical and Economic Outcomes
Asche, C., LaFleur, J., & Conner, C. (2011) · Clinical Therapeutics · doi:10.1016/j.clinthera.2011.01.019 · Cited by 420
An introduction to instrumental variable assumptions, validation and estimation
Lousdal, M. L. (2018) · Emerging Themes in Epidemiology · doi:10.1186/s12982-018-0069-7 · Cited by 173
Statins for infection and sepsis: a systematic review of the clinical evidence.
Falagas, M. E., Makris, G. C., Matthaiou, D. K., & Rafailidis, P. I. (2008) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkn019 · Cited by 166
Comparative Effectiveness of Generic and Brand-Name Statins on Patient Outcomes: A Cohort Study
Gagne, J. J., Choudhry, N. K., Kesselheim, A. S., Polinski, J. M., Hutchins, D., Matlin, O. S., Brennan, T. A., Avorn, J., & Shrank, W. H. (2014) · Annals of Internal Medicine · doi:10.7326/m13-2942 · Cited by 155
Self-citationFarmer, R. E., Mathur, R., Schmidt, A. F., Bhaskaran, K., Fatemifar, G., Eastwood, S. V., Finan, C., Denaxas, S., Smeeth, L., & Chaturvedi, N. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.118.011638 · Cited by 144
Statins, cognition, and dementia-systematic review and methodological commentary
Power, M. C., Weuve, J., Sharrett, A. R., Blacker, D., & Gottesman, R. F. (2015) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.35 · Cited by 150
Chodick, G., Shalev, V., Gerber, Y., Heymann, A. D., Silber, H., Simah, V., & Kokia, E. (2008) · Clinical Therapeutics · doi:10.1016/j.clinthera.2008.11.012 · Cited by 145
Adherence to Statins, Subsequent Healthcare Costs, and Cardiovascular Hospitalizations
Pittman, D. G., Chen, W., Bowlin, S. J., & Foody, J. M. (2011) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2011.01.052 · Cited by 123
Aldossary, A., Harrison, V. E., & Bernabé, E. (2015) · European Journal of Oral Sciences · doi:10.1111/eos.12161 · Cited by 51
Roetzheim, R. G., Lee, J.-H., Ferrante, J. M., Gonzalez, E. C., Chen, R., Fisher, K. J., Love-Jackson, K., & McCarthy, E. P. (2013) · The Journal of the American Board of Family Medicine · doi:10.3122/jabfm.2013.06.130042 · Cited by 32
Lipworth, L., Fazio, S., Kabagambe, E., Munro, H., Nwazue, V., Tarone, R., McLaughlin, J., Blot, W., & Sampson, U. (2013) · Clinical Epidemiology · doi:10.2147/clep.s53492 · Cited by 26
Metadata
- Authors
- Brookhart, M. A., Patrick, A. R., Dormuth, C., Avorn, J., Shrank, W., Cadarette, S. M., & Solomon, D. H.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-05-29
- Volume
- 166
- Issue
- 3
- Pages
- 348-354
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2100232288
- Cited by
- 381
- References
- 5
- FWCI
- 18.35
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
