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Published in: Current Rheumatology Reports 3/2011

01-06-2011

Potential and Pitfalls of Using Large Administrative Claims Data to Study the Safety of Osteoporosis Therapies

Authors: Jie Zhang, Huifeng Yun, Nicole C. Wright, Meredith Kilgore, Kenneth G. Saag, Elizabeth Delzell

Published in: Current Rheumatology Reports | Issue 3/2011

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Abstract

Long-term bisphosphonate use may be associated with several rare adverse events. Such associations are not optimally evaluated in conventional randomized controlled trials due to the requirements of large numbers of patients and long-term follow-up. Alternatively, administrative claims data from various sources such as Medicare have been used. Because claims data are collected for billing and reimbursement purposes, they have limitations, including uncertain diagnostic validity and lack of detailed clinical information. Using such data for pharmacoepidemiologic research requires complex methodologies that may be less familiar to many researchers and clinicians. In this review, we discuss the strengths and limitations of using claims data for osteoporosis drug safety research, summarize recent advancements in methodologies that may be used to address the limitations, and present directions for future research using claims data.
Literature
1.
go back to reference Becker DJ, Kilgore ML, Morrisey MA. The societal burden of osteoporosis. Curr Rheumatol Rep. 2010;12(3):186–91.PubMedCrossRef Becker DJ, Kilgore ML, Morrisey MA. The societal burden of osteoporosis. Curr Rheumatol Rep. 2010;12(3):186–91.PubMedCrossRef
2.
go back to reference Abrahamsen B, Eiken P, Eastell R. Subtrochanteric and diaphyseal femur fractures in patients treated with alendronate: a register-based national cohort study. J Bone Miner Res. 2009;24(6):1095–102.PubMedCrossRef Abrahamsen B, Eiken P, Eastell R. Subtrochanteric and diaphyseal femur fractures in patients treated with alendronate: a register-based national cohort study. J Bone Miner Res. 2009;24(6):1095–102.PubMedCrossRef
3.
go back to reference Nieves JW, Bilezikian JP, Lane JM, et al. Fragility fractures of the hip and femur: incidence and patient characteristics. Osteoporos Int. 2010;21(3):399–408.PubMedCrossRef Nieves JW, Bilezikian JP, Lane JM, et al. Fragility fractures of the hip and femur: incidence and patient characteristics. Osteoporos Int. 2010;21(3):399–408.PubMedCrossRef
4.
go back to reference Cartsos VM, Zhu S, Zavras AI. Bisphosphonate use and the risk of adverse jaw outcomes: a medical claims study of 714, 217 people. J Am Dent Assoc. 2008;139(1):23–30.PubMed Cartsos VM, Zhu S, Zavras AI. Bisphosphonate use and the risk of adverse jaw outcomes: a medical claims study of 714, 217 people. J Am Dent Assoc. 2008;139(1):23–30.PubMed
5.
go back to reference Green J, Czanner G, Reeves G, et al. Oral bisphosphonates and risk of cancer of oesophagus, stomach, and colorectum: case-control analysis within a UK primary care cohort. BMJ. 2010;341:c4444.PubMedCrossRef Green J, Czanner G, Reeves G, et al. Oral bisphosphonates and risk of cancer of oesophagus, stomach, and colorectum: case-control analysis within a UK primary care cohort. BMJ. 2010;341:c4444.PubMedCrossRef
6.
go back to reference Cardwell CR, Abnet CC, Cantwell MM, Murray LJ. Exposure to oral bisphosphonates and risk of esophageal cancer. JAMA. 2010;304(6):657–663.PubMedCrossRef Cardwell CR, Abnet CC, Cantwell MM, Murray LJ. Exposure to oral bisphosphonates and risk of esophageal cancer. JAMA. 2010;304(6):657–663.PubMedCrossRef
7.
go back to reference Schneeweiss S. Developments in post-marketing comparative effectiveness research. Clin Pharmacol Ther. 2007;82(2):143–156.PubMedCrossRef Schneeweiss S. Developments in post-marketing comparative effectiveness research. Clin Pharmacol Ther. 2007;82(2):143–156.PubMedCrossRef
8.
go back to reference Sorensen HT, Lash TL, Rothman KJ. Beyond randomized controlled trials: a critical comparison of trials with nonrandomized studies. Hepatology. 2006;44(5):1075–1082.PubMedCrossRef Sorensen HT, Lash TL, Rothman KJ. Beyond randomized controlled trials: a critical comparison of trials with nonrandomized studies. Hepatology. 2006;44(5):1075–1082.PubMedCrossRef
9.
go back to reference Black DM, Kelly MP, Genant HK, et al. Bisphosphonates and fractures of the subtrochanteric or diaphyseal femur. N Engl J Med. 2010;362(19):1761–1771.PubMedCrossRef Black DM, Kelly MP, Genant HK, et al. Bisphosphonates and fractures of the subtrochanteric or diaphyseal femur. N Engl J Med. 2010;362(19):1761–1771.PubMedCrossRef
10.
go back to reference Psaty BM, Korn D. Congress responds to the IOM drug safety report–in full. JAMA. 2007;298(18):2185–2187.PubMedCrossRef Psaty BM, Korn D. Congress responds to the IOM drug safety report–in full. JAMA. 2007;298(18):2185–2187.PubMedCrossRef
11.
go back to reference Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005;58(4):323–337.PubMedCrossRef Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005;58(4):323–337.PubMedCrossRef
12.
go back to reference Suissa S, Garbe E. Primer: administrative health databases in observational studies of drug effects–advantages and disadvantages. Nat Clin Pract Rheumatol. 2007;3(12):725–732.PubMedCrossRef Suissa S, Garbe E. Primer: administrative health databases in observational studies of drug effects–advantages and disadvantages. Nat Clin Pract Rheumatol. 2007;3(12):725–732.PubMedCrossRef
13.
go back to reference Schneeweiss S, Patrick AR, Sturmer T, et al. Increasing levels of restriction in pharmacoepidemiologic database studies of elderly and comparison with randomized trial results. Med Care. 2007;45(10 Supl 2):S131–142.PubMedCrossRef Schneeweiss S, Patrick AR, Sturmer T, et al. Increasing levels of restriction in pharmacoepidemiologic database studies of elderly and comparison with randomized trial results. Med Care. 2007;45(10 Supl 2):S131–142.PubMedCrossRef
14.
go back to reference Greenwald LM. Medicare part D data: major changes on the horizon. Med Care. 2007;45(10 Supl 2):S9–S12.PubMedCrossRef Greenwald LM. Medicare part D data: major changes on the horizon. Med Care. 2007;45(10 Supl 2):S9–S12.PubMedCrossRef
15.
go back to reference Cheng H, Gary LC, Curtis JR, et al. Estimated prevalence and patterns of presumed osteoporosis among older Americans based on Medicare data. Osteoporos Int. 2009;20(9):1507–1515.PubMedCrossRef Cheng H, Gary LC, Curtis JR, et al. Estimated prevalence and patterns of presumed osteoporosis among older Americans based on Medicare data. Osteoporos Int. 2009;20(9):1507–1515.PubMedCrossRef
16.
go back to reference Patrick AR, Brookhart MA, Losina E, et al. The complex relation between bisphosphonate adherence and fracture reduction. J Clin Endocrinol Metab. 2010;95(7):3251–3259.PubMedCrossRef Patrick AR, Brookhart MA, Losina E, et al. The complex relation between bisphosphonate adherence and fracture reduction. J Clin Endocrinol Metab. 2010;95(7):3251–3259.PubMedCrossRef
17.
go back to reference Curtis JR, Westfall AO, Cheng H, et al. RisedronatE and ALendronate Intervention over Three Years (REALITY): minimal differences in fracture risk reduction. Osteoporos Int. 2009;20(6):973–978.PubMedCrossRef Curtis JR, Westfall AO, Cheng H, et al. RisedronatE and ALendronate Intervention over Three Years (REALITY): minimal differences in fracture risk reduction. Osteoporos Int. 2009;20(6):973–978.PubMedCrossRef
18.
go back to reference National Osteoporosis Foundation. Clinician’s guide to prevention and treatment of osteoporosis (2010). National Osteoporosis Foundation. Clinician’s guide to prevention and treatment of osteoporosis (2010).
19.
go back to reference Choudhry NK, Shrank WH. Four-dollar generics—increased accessibility, impaired quality assurance. N Engl J Med. 2010;363(20):1885–1887.PubMedCrossRef Choudhry NK, Shrank WH. Four-dollar generics—increased accessibility, impaired quality assurance. N Engl J Med. 2010;363(20):1885–1887.PubMedCrossRef
20.
go back to reference • Suissa S. Immeasurable time bias in observational studies of drug effects on mortality. Am J Epidemiol. 2008;168(3):329–335. This article empirically demonstrated how immeasurable time bias can distort the results of a pharmacoepidemiologic study and evaluated the application of various methods to correct for the bias.PubMedCrossRef • Suissa S. Immeasurable time bias in observational studies of drug effects on mortality. Am J Epidemiol. 2008;168(3):329–335. This article empirically demonstrated how immeasurable time bias can distort the results of a pharmacoepidemiologic study and evaluated the application of various methods to correct for the bias.PubMedCrossRef
21.
go back to reference Cramer J, Roy A, Burrell A. Medication compliance and persistence: terminology and definitions. Value Health. 2008;11(44–47). Cramer J, Roy A, Burrell A. Medication compliance and persistence: terminology and definitions. Value Health. 2008;11(44–47).
22.
go back to reference Nikitovic M, Solomon D, Cadarette S. Methods to examine the impact of compliance to osteoporosis pharmacotherapy on fracture risk: systematic review and recommendations. Ther Adv Chron Dis. 2010;1(4):149–163.CrossRef Nikitovic M, Solomon D, Cadarette S. Methods to examine the impact of compliance to osteoporosis pharmacotherapy on fracture risk: systematic review and recommendations. Ther Adv Chron Dis. 2010;1(4):149–163.CrossRef
23.
go back to reference Andrade SE, Kahler KH, Frech F, Chan KA. Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiol Drug Saf. 2006;15(8):565–574. discussion 75-7.PubMedCrossRef Andrade SE, Kahler KH, Frech F, Chan KA. Methods for evaluation of medication adherence and persistence using automated databases. Pharmacoepidemiol Drug Saf. 2006;15(8):565–574. discussion 75-7.PubMedCrossRef
24.
go back to reference Grymonpre R, Cheang M, Fraser M, et al. Validity of a prescription claims database to estimate medication adherence in older persons. Med Care. 2006;44(5):471–477.PubMedCrossRef Grymonpre R, Cheang M, Fraser M, et al. Validity of a prescription claims database to estimate medication adherence in older persons. Med Care. 2006;44(5):471–477.PubMedCrossRef
25.
go back to reference Curtis JR, Westfall AO, Cheng H, et al. Benefit of adherence with bisphosphonates depends on age and fracture type: results from an analysis of 101, 038 new bisphosphonate users. J Bone Miner Res. 2008;23(9):1435–1441.PubMedCrossRef Curtis JR, Westfall AO, Cheng H, et al. Benefit of adherence with bisphosphonates depends on age and fracture type: results from an analysis of 101, 038 new bisphosphonate users. J Bone Miner Res. 2008;23(9):1435–1441.PubMedCrossRef
26.
go back to reference • Virnig B, Durham SB, Folsom AR, Cerhan J. Linking the Iowa Women’s Health Study cohort to Medicare data: linkage results and application to hip fracture. Am J Epidemiol. 2010;172(3):327–333. This article presented the linkage of data from a conventional prospective cohort study to Medicare data and compared the data from the two sources with regard to the occurrence of hip fracture and postfracture mortality. The authors demonstrated that the incidences of both outcomes were underestimated using self-reported data.PubMedCrossRef • Virnig B, Durham SB, Folsom AR, Cerhan J. Linking the Iowa Women’s Health Study cohort to Medicare data: linkage results and application to hip fracture. Am J Epidemiol. 2010;172(3):327–333. This article presented the linkage of data from a conventional prospective cohort study to Medicare data and compared the data from the two sources with regard to the occurrence of hip fracture and postfracture mortality. The authors demonstrated that the incidences of both outcomes were underestimated using self-reported data.PubMedCrossRef
27.
go back to reference • St Peter WL, Liu J, Weinhandl ED, Fan Q. Linking Centers for Medicare & Medicaid Services data with prospective DCOR trial data: methods and data comparison results. Hemodial Int. 2008;12(4):480–491. This article presented the linkage of data from multicenter, randomized, open-label trials to Medicare end-stage renal disease data. Significantly, 287 more deaths were identified using Medicare data that were not captured in the original trial.PubMedCrossRef • St Peter WL, Liu J, Weinhandl ED, Fan Q. Linking Centers for Medicare & Medicaid Services data with prospective DCOR trial data: methods and data comparison results. Hemodial Int. 2008;12(4):480–491. This article presented the linkage of data from multicenter, randomized, open-label trials to Medicare end-stage renal disease data. Significantly, 287 more deaths were identified using Medicare data that were not captured in the original trial.PubMedCrossRef
28.
go back to reference Shane E, Burr D, Ebeling PR, et al. Atypical subtrochanteric and diaphyseal femoral fractures: report of a task force of the American Society for Bone and Mineral Research. J Bone Miner Res. 2010;25(11):2267–2294.PubMedCrossRef Shane E, Burr D, Ebeling PR, et al. Atypical subtrochanteric and diaphyseal femoral fractures: report of a task force of the American Society for Bone and Mineral Research. J Bone Miner Res. 2010;25(11):2267–2294.PubMedCrossRef
29.
go back to reference Narongroeknawin P, Patkar NM, Shakoory B, et al. Validation of diagnostic codes for subtrochanteric, diaphyseal, and typical hip fractures using administrative claims data. Arthritis Rheum. 2010;62(10 (supplement)):S1573. Narongroeknawin P, Patkar NM, Shakoory B, et al. Validation of diagnostic codes for subtrochanteric, diaphyseal, and typical hip fractures using administrative claims data. Arthritis Rheum. 2010;62(10 (supplement)):S1573.
30.
go back to reference Wilkinson GS, Kuo YF, Freeman JL, Goodwin JS. Intravenous bisphosphonate therapy and inflammatory conditions or surgery of the jaw: a population-based analysis. J Natl Cancer Inst. 2007;99(13):1016–1024.PubMedCrossRef Wilkinson GS, Kuo YF, Freeman JL, Goodwin JS. Intravenous bisphosphonate therapy and inflammatory conditions or surgery of the jaw: a population-based analysis. J Natl Cancer Inst. 2007;99(13):1016–1024.PubMedCrossRef
31.
go back to reference Tennis P, Zavras A, Laskarides C, Tan H. Predictive value of ICD and CPT codes for identifying osteonecrosis of the jaw (ONJ). Pharmacoepidemiol Drug Saf. 2009;18(S1):S1–S273.CrossRef Tennis P, Zavras A, Laskarides C, Tan H. Predictive value of ICD and CPT codes for identifying osteonecrosis of the jaw (ONJ). Pharmacoepidemiol Drug Saf. 2009;18(S1):S1–S273.CrossRef
32.
go back to reference Taylor AJ, Gary LC, Arora T, et al. Clinical and demographic factors associated with fractures among older Americans. Osteoporos Int. 2010. Taylor AJ, Gary LC, Arora T, et al. Clinical and demographic factors associated with fractures among older Americans. Osteoporos Int. 2010.
33.
go back to reference Pazianas M, Blumentals WA, Miller PD. Lack of association between oral bisphosphonates and osteonecrosis using jaw surgery as a surrogate marker. Osteoporos Int. 2008;19(6):773–779.PubMedCrossRef Pazianas M, Blumentals WA, Miller PD. Lack of association between oral bisphosphonates and osteonecrosis using jaw surgery as a surrogate marker. Osteoporos Int. 2008;19(6):773–779.PubMedCrossRef
34.
go back to reference Vandenbroucke JP. When are observational studies as credible as randomised trials? Lancet. 2004;363(9422):1728–1731.PubMedCrossRef Vandenbroucke JP. When are observational studies as credible as randomised trials? Lancet. 2004;363(9422):1728–1731.PubMedCrossRef
35.
go back to reference Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a comorbidity index using physician claims data. J Clin Epidemiol. 2000;53(12):1258–1267.PubMedCrossRef Klabunde CN, Potosky AL, Legler JM, Warren JL. Development of a comorbidity index using physician claims data. J Clin Epidemiol. 2000;53(12):1258–1267.PubMedCrossRef
36.
go back to reference • Schneeweiss S, Rassen JA, Glynn RJ, et al. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data. Epidemiology. 2009;20(4):512–522. This article presented a multistep algorithm that identifies, prioritizes, and selects covariates to be used to construct a high-dimensional propensity score to adjust for confounding using administrative databases. The authors further applied and tested the algorithm in two separation studies and demonstrated that the algorithm performed better compared with using only predefined covariates.PubMedCrossRef • Schneeweiss S, Rassen JA, Glynn RJ, et al. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data. Epidemiology. 2009;20(4):512–522. This article presented a multistep algorithm that identifies, prioritizes, and selects covariates to be used to construct a high-dimensional propensity score to adjust for confounding using administrative databases. The authors further applied and tested the algorithm in two separation studies and demonstrated that the algorithm performed better compared with using only predefined covariates.PubMedCrossRef
37.
go back to reference Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–619.PubMedCrossRef Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–619.PubMedCrossRef
38.
go back to reference Kim SY, Schneeweiss S, Katz JN, et al. Oral bisphosphonates and risk of subtrochanteric or diaphyseal femur fractures in a population-based cohort. J Bone Miner Res. 2010. Kim SY, Schneeweiss S, Katz JN, et al. Oral bisphosphonates and risk of subtrochanteric or diaphyseal femur fractures in a population-based cohort. J Bone Miner Res. 2010.
39.
go back to reference Beaumont JJ, Steenland K, Minton A, Meyer S. A computer program for incidence density sampling of controls in case-control studies nested within occupational cohort studies. Am J Epidemiol. 1989;129(1):212–219.PubMed Beaumont JJ, Steenland K, Minton A, Meyer S. A computer program for incidence density sampling of controls in case-control studies nested within occupational cohort studies. Am J Epidemiol. 1989;129(1):212–219.PubMed
40.
go back to reference Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003;38(4):1103–1120.PubMedCrossRef Schneeweiss S, Wang PS, Avorn J, Glynn RJ. Improved comorbidity adjustment for predicting mortality in Medicare populations. Health Serv Res. 2003;38(4):1103–1120.PubMedCrossRef
41.
go back to reference Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70(1):41–55.CrossRef Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70(1):41–55.CrossRef
42.
go back to reference Arbogast PG, Ray WA. Use of disease risk scores in pharmacoepidemiologic studies. Stat Methods Med Res. 2009;18(1):67–80.PubMedCrossRef Arbogast PG, Ray WA. Use of disease risk scores in pharmacoepidemiologic studies. Stat Methods Med Res. 2009;18(1):67–80.PubMedCrossRef
43.
go back to reference Ray WA, Murray KT, Meredith S, et al. Oral erythromycin and the risk of sudden death from cardiac causes. N Engl J Med. 2004;351(11):1089–1096.PubMedCrossRef Ray WA, Murray KT, Meredith S, et al. Oral erythromycin and the risk of sudden death from cardiac causes. N Engl J Med. 2004;351(11):1089–1096.PubMedCrossRef
44.
go back to reference Curtis JR, Cheng H, Delzell E, et al. Adaptation of Bayesian data mining algorithms to longitudinal claims data: coxib safety as an example. Med Care. 2008;46(9):969–975.PubMedCrossRef Curtis JR, Cheng H, Delzell E, et al. Adaptation of Bayesian data mining algorithms to longitudinal claims data: coxib safety as an example. Med Care. 2008;46(9):969–975.PubMedCrossRef
45.
go back to reference Graham DJ, Ouellet-Hellstrom R, MaCurdy TE, et al. Risk of acute myocardial infarction, stroke, heart failure, and death in elderly Medicare patients treated with rosiglitazone or pioglitazone. JAMA. 2010;304(4):411–418.PubMedCrossRef Graham DJ, Ouellet-Hellstrom R, MaCurdy TE, et al. Risk of acute myocardial infarction, stroke, heart failure, and death in elderly Medicare patients treated with rosiglitazone or pioglitazone. JAMA. 2010;304(4):411–418.PubMedCrossRef
47.
go back to reference Strom BL, Kimmel SE, editors. Textbook of pharmacoepidemiology. Chichester: Wiley; 2006. Strom BL, Kimmel SE, editors. Textbook of pharmacoepidemiology. Chichester: Wiley; 2006.
48.
go back to reference Jung TI, Hoffmann F, Glaeske G, Felsenberg D. Disease-specific risk for an osteonecrosis of the jaw under bisphosphonate therapy. J Cancer Res Clin Oncol. 2010;136(3):363–370.PubMedCrossRef Jung TI, Hoffmann F, Glaeske G, Felsenberg D. Disease-specific risk for an osteonecrosis of the jaw under bisphosphonate therapy. J Cancer Res Clin Oncol. 2010;136(3):363–370.PubMedCrossRef
49.
go back to reference Nguyen DM, Schwartz J, Richardson P, El-Serag HB. Oral bisphosphonate prescriptions and the risk of esophageal adenocarcinoma in patients with Barrett’s esophagus. Dig Dis Sci. 2010;55(12):3404–3407.PubMedCrossRef Nguyen DM, Schwartz J, Richardson P, El-Serag HB. Oral bisphosphonate prescriptions and the risk of esophageal adenocarcinoma in patients with Barrett’s esophagus. Dig Dis Sci. 2010;55(12):3404–3407.PubMedCrossRef
Metadata
Title
Potential and Pitfalls of Using Large Administrative Claims Data to Study the Safety of Osteoporosis Therapies
Authors
Jie Zhang
Huifeng Yun
Nicole C. Wright
Meredith Kilgore
Kenneth G. Saag
Elizabeth Delzell
Publication date
01-06-2011
Publisher
Current Science Inc.
Published in
Current Rheumatology Reports / Issue 3/2011
Print ISSN: 1523-3774
Electronic ISSN: 1534-6307
DOI
https://doi.org/10.1007/s11926-011-0168-8

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