Publication

Birth cohort appeared to confound effect estimates of guideline changes on statin utilization

Bijlsma, M. J., Janssen, F., Lub, R., Bos, J. H. J., De Vries, F. M., Vansteelandt, S. & Hak, E., Mar-2015, In : Journal of Clinical Epidemiology. 68, 3, p. 334-340 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Bijlsma, M. J., Janssen, F., Lub, R., Bos, J. H. J., De Vries, F. M., Vansteelandt, S., & Hak, E. (2015). Birth cohort appeared to confound effect estimates of guideline changes on statin utilization. Journal of Clinical Epidemiology, 68(3), 334-340. https://doi.org/10.1016/j.jclinepi.2014.10.010

Author

Bijlsma, Maarten J. ; Janssen, Fanny ; Lub, Rene ; Bos, Jens H. J. ; De Vries, Folgerdiena M. ; Vansteelandt, Stijn ; Hak, Eelko. / Birth cohort appeared to confound effect estimates of guideline changes on statin utilization. In: Journal of Clinical Epidemiology. 2015 ; Vol. 68, No. 3. pp. 334-340.

Harvard

Bijlsma, MJ, Janssen, F, Lub, R, Bos, JHJ, De Vries, FM, Vansteelandt, S & Hak, E 2015, 'Birth cohort appeared to confound effect estimates of guideline changes on statin utilization', Journal of Clinical Epidemiology, vol. 68, no. 3, pp. 334-340. https://doi.org/10.1016/j.jclinepi.2014.10.010

Standard

Birth cohort appeared to confound effect estimates of guideline changes on statin utilization. / Bijlsma, Maarten J.; Janssen, Fanny; Lub, Rene; Bos, Jens H. J.; De Vries, Folgerdiena M.; Vansteelandt, Stijn; Hak, Eelko.

In: Journal of Clinical Epidemiology, Vol. 68, No. 3, 03.2015, p. 334-340.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Bijlsma MJ, Janssen F, Lub R, Bos JHJ, De Vries FM, Vansteelandt S et al. Birth cohort appeared to confound effect estimates of guideline changes on statin utilization. Journal of Clinical Epidemiology. 2015 Mar;68(3):334-340. https://doi.org/10.1016/j.jclinepi.2014.10.010


BibTeX

@article{d3f3625deabc444fab656f7f21443b95,
title = "Birth cohort appeared to confound effect estimates of guideline changes on statin utilization",
abstract = "Objectives: To investigate how birth cohorts can confound population-based intervention effect estimates.Study Design and Setting: Interrupted time series design was applied to study the prevalence of statin use in Dutch diabetes patients over the period 1998-2011. Effects of guideline changes on the outcome were estimated using a Poisson regression model with and without the birth cohort dimension modeled through random intercepts.Results: Both models estimated a stronger increase in prevalence of statin use after influential studies were published in 2003 for patients aged below 50 and above 70 years. The model that controlled for birth cohort also estimated an effect for patients aged 50-70 years from 2003 onward. The magnitude of the intervention effect for patients aged above 70 years when we controlled for birth cohort was reduced from 0.078 [95% confidence interval (CI): 0.065, 0.091] to 0.027 (95% CI: 0.013, 0.041). Similarly, for patients aged below 50 years, the estimated guideline effect was reduced from 0.070 (95% CI: 0.048, 0.092) to 0.055 (95% CI: 0.035, 0.075).Conclusion: In this case study, the birth cohort dimension appeared to confound population-level effect estimates of guideline changes on prevalence of statin use in patients with diabetes. (C) 2015 Elsevier Inc. All rights reserved.",
keywords = "Birth cohort , Diabetes, Effect estimation, Confounding, Statins",
author = "Bijlsma, {Maarten J.} and Fanny Janssen and Rene Lub and Bos, {Jens H. J.} and {De Vries}, {Folgerdiena M.} and Stijn Vansteelandt and Eelko Hak",
year = "2015",
month = mar,
doi = "10.1016/j.jclinepi.2014.10.010",
language = "English",
volume = "68",
pages = "334--340",
journal = "Journal of Clinical Epidemiology",
issn = "0895-4356",
publisher = "ELSEVIER SCIENCE INC",
number = "3",

}

RIS

TY - JOUR

T1 - Birth cohort appeared to confound effect estimates of guideline changes on statin utilization

AU - Bijlsma, Maarten J.

AU - Janssen, Fanny

AU - Lub, Rene

AU - Bos, Jens H. J.

AU - De Vries, Folgerdiena M.

AU - Vansteelandt, Stijn

AU - Hak, Eelko

PY - 2015/3

Y1 - 2015/3

N2 - Objectives: To investigate how birth cohorts can confound population-based intervention effect estimates.Study Design and Setting: Interrupted time series design was applied to study the prevalence of statin use in Dutch diabetes patients over the period 1998-2011. Effects of guideline changes on the outcome were estimated using a Poisson regression model with and without the birth cohort dimension modeled through random intercepts.Results: Both models estimated a stronger increase in prevalence of statin use after influential studies were published in 2003 for patients aged below 50 and above 70 years. The model that controlled for birth cohort also estimated an effect for patients aged 50-70 years from 2003 onward. The magnitude of the intervention effect for patients aged above 70 years when we controlled for birth cohort was reduced from 0.078 [95% confidence interval (CI): 0.065, 0.091] to 0.027 (95% CI: 0.013, 0.041). Similarly, for patients aged below 50 years, the estimated guideline effect was reduced from 0.070 (95% CI: 0.048, 0.092) to 0.055 (95% CI: 0.035, 0.075).Conclusion: In this case study, the birth cohort dimension appeared to confound population-level effect estimates of guideline changes on prevalence of statin use in patients with diabetes. (C) 2015 Elsevier Inc. All rights reserved.

AB - Objectives: To investigate how birth cohorts can confound population-based intervention effect estimates.Study Design and Setting: Interrupted time series design was applied to study the prevalence of statin use in Dutch diabetes patients over the period 1998-2011. Effects of guideline changes on the outcome were estimated using a Poisson regression model with and without the birth cohort dimension modeled through random intercepts.Results: Both models estimated a stronger increase in prevalence of statin use after influential studies were published in 2003 for patients aged below 50 and above 70 years. The model that controlled for birth cohort also estimated an effect for patients aged 50-70 years from 2003 onward. The magnitude of the intervention effect for patients aged above 70 years when we controlled for birth cohort was reduced from 0.078 [95% confidence interval (CI): 0.065, 0.091] to 0.027 (95% CI: 0.013, 0.041). Similarly, for patients aged below 50 years, the estimated guideline effect was reduced from 0.070 (95% CI: 0.048, 0.092) to 0.055 (95% CI: 0.035, 0.075).Conclusion: In this case study, the birth cohort dimension appeared to confound population-level effect estimates of guideline changes on prevalence of statin use in patients with diabetes. (C) 2015 Elsevier Inc. All rights reserved.

KW - Birth cohort

KW - Diabetes

KW - Effect estimation

KW - Confounding

KW - Statins

U2 - 10.1016/j.jclinepi.2014.10.010

DO - 10.1016/j.jclinepi.2014.10.010

M3 - Article

VL - 68

SP - 334

EP - 340

JO - Journal of Clinical Epidemiology

JF - Journal of Clinical Epidemiology

SN - 0895-4356

IS - 3

ER -

ID: 15610438