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Published in: BMC Health Services Research 1/2015

Open Access 01-12-2015 | Research article

Relationship between cardiovascular risk and lipid testing in one health care system: a retrospective cohort study

Authors: Robert J. Reid, Melissa L. Anderson, Paul A. Fishman, Jennifer B. McClure, Ron L. Johnson, Sheryl L. Catz, Beverly B. Green

Published in: BMC Health Services Research | Issue 1/2015

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Abstract

Background

The US Preventive Services Taskforce (USPSTF) recommends routine lipid screening beginning age 35 for men [1]. For women age 20 and older, as well as men age 20–34, screening is recommended if cardiovascular risk factors are present. Prior research has focused on underutilization but not overuse of lipid testing. The objective is to document over- and under-use of lipid testing in an insured population of persons at low, moderate and high cardiovascular disease (CVD) risk for persons not already on statins.

Methods

The study is a retrospective cohort study that included all adults without prior CVD who were continuously enrolled in a large integrated healthcare system from 2005 to 2010.
Measures included lipid test frequency extracted from administrative data and Framingham cardiovascular risk equations applied using electronic medical record data. Five year lipid testing patterns were examined by age, sex and CVD risk. Generalized linear models were used to estimate the relative risk for over testing associated with patient characteristics.

Results

Among males and females for whom testing is not recommended, 35.8 % and 61.5 % received at least one lipid test in the prior 5 years and 8.4 % and 24.4 % had two or more.
Over-testing was associated with age, race, comorbidity, primary care use and neighborhood income. Among individuals at moderate and high-risk (not already treated with statins) and for whom screening is recommended, between 21.4 % and 25.1 % of individuals received no screening in the prior 5 years.

Conclusions

Based on USPSTF lipid screening recommendations, this study documents substantial over-testing among individuals with low CVD risk and under-testing among individuals with moderate to high-risk not already on statins. Opportunity exists to better focus lipid screening efforts appropriate to CVD risk.
Literature
2.
go back to reference Stone NJ, Robinson J, Lichtenstein AH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. J Am Coll Cardiol 2014: 63(25 - Part B):2889-2934. Stone NJ, Robinson J, Lichtenstein AH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines. J Am Coll Cardiol 2014: 63(25 - Part B):2889-2934.
3.
go back to reference Trivedi AN, Grebla RC. Quality and equity of care in the Veterans Affairs Health-Care System and in medicare advantage health plans. Medical Care. 2011;49(6):560–8. 510.1097/MLR.1090b1013e31820fb31820f31826.CrossRefPubMed Trivedi AN, Grebla RC. Quality and equity of care in the Veterans Affairs Health-Care System and in medicare advantage health plans. Medical Care. 2011;49(6):560–8. 510.1097/MLR.1090b1013e31820fb31820f31826.CrossRefPubMed
4.
go back to reference Yoon PW, Tong X, Schmidt SM, Matson-Koffman D. Clinical preventive services for patients at risk for cardiovascular disease,National Ambulatory Medical Care Survey, 2005-2006. Prev Chronic Dis 2011;8(2):A43. Yoon PW, Tong X, Schmidt SM, Matson-Koffman D. Clinical preventive services for patients at risk for cardiovascular disease,National Ambulatory Medical Care Survey, 2005-2006. Prev Chronic Dis 2011;8(2):A43.
5.
go back to reference Waters DD, Brotons C, Chiang CW, et al. Lipid treatment assessment project 2: a multinational survey to evaluate the proportion of patients achieving low-density lipoprotein cholesterol goals. Circulation. 2009;120(1):28–34.CrossRefPubMed Waters DD, Brotons C, Chiang CW, et al. Lipid treatment assessment project 2: a multinational survey to evaluate the proportion of patients achieving low-density lipoprotein cholesterol goals. Circulation. 2009;120(1):28–34.CrossRefPubMed
7.
go back to reference Centers for Disease C, Prevention. Prevalence of cholesterol screening and high blood cholesterol among adults–United States, 2005, 2007 and 2009. MMWR Morb Mortal Wkly Rep. 2012;61:697–702. Centers for Disease C, Prevention. Prevalence of cholesterol screening and high blood cholesterol among adults–United States, 2005, 2007 and 2009. MMWR Morb Mortal Wkly Rep. 2012;61:697–702.
8.
go back to reference Korenstein D, Falk R, Howell EA, Bishop T, Keyhani S. Overuse of health care services in the United States: an understudied problem. Arch Intern Med. 2012;172(2):171–8.CrossRefPubMed Korenstein D, Falk R, Howell EA, Bishop T, Keyhani S. Overuse of health care services in the United States: an understudied problem. Arch Intern Med. 2012;172(2):171–8.CrossRefPubMed
9.
go back to reference Expert Panel on Detection E, Treatment of High Blood Cholesterol in A. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA. 2001;285(19):2486–97.CrossRef Expert Panel on Detection E, Treatment of High Blood Cholesterol in A. Executive summary of the third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA. 2001;285(19):2486–97.CrossRef
10.
11.
go back to reference Goodwin JS, Asrabadi A, Howrey B, Giordano S, Kuo YF. Multiple measurement of serum lipids in the elderly. Med Care. 2011;49(2):225–30.CrossRefPubMed Goodwin JS, Asrabadi A, Howrey B, Giordano S, Kuo YF. Multiple measurement of serum lipids in the elderly. Med Care. 2011;49(2):225–30.CrossRefPubMed
12.
go back to reference Krieger N. Overcoming the absence of socioeconomic data in medical records: validation and application of a census-based methodology. Am J Public Health. 1992;82(5):703–10.CrossRefPubMedPubMedCentral Krieger N. Overcoming the absence of socioeconomic data in medical records: validation and application of a census-based methodology. Am J Public Health. 1992;82(5):703–10.CrossRefPubMedPubMedCentral
14.
go back to reference The Johns Hopkins University. The Johns Hopkins ACG System Technical Reference Guide, version 10.0. Baltimore, MD: The Johns Hopkins University; 2011. The Johns Hopkins University. The Johns Hopkins ACG System Technical Reference Guide, version 10.0. Baltimore, MD: The Johns Hopkins University; 2011.
15.
go back to reference Weiner JP, Starfield BH, Steinwachs DM, Mumford LM. Development and application of a population-oriented measure of ambulatory care case-mix. Med Care. 1991;29(5):452–72.CrossRefPubMed Weiner JP, Starfield BH, Steinwachs DM, Mumford LM. Development and application of a population-oriented measure of ambulatory care case-mix. Med Care. 1991;29(5):452–72.CrossRefPubMed
16.
go back to reference Starfield B, Weiner J, Mumford L, Steinwachs D. Ambulatory care groups: a categorization of diagnoses for research and management. Health Serv Res. 1991;26(1):53–74.PubMedPubMedCentral Starfield B, Weiner J, Mumford L, Steinwachs D. Ambulatory care groups: a categorization of diagnoses for research and management. Health Serv Res. 1991;26(1):53–74.PubMedPubMedCentral
17.
go back to reference Green BB, Anderson ML, Cook AJ, et al. Using body mass index data in the electronic health record to calculate cardiovascular risk. Am J Prev Med. 2012;42(4):342–7.CrossRefPubMedPubMedCentral Green BB, Anderson ML, Cook AJ, et al. Using body mass index data in the electronic health record to calculate cardiovascular risk. Am J Prev Med. 2012;42(4):342–7.CrossRefPubMedPubMedCentral
18.
go back to reference Arsenault BJ, Rana JS, Stroes ES, et al. Beyond low-density lipoprotein cholesterol: respective contributions of non-high-density lipoprotein cholesterol levels, triglycerides and the total cholesterol/high-density lipoprotein cholesterol ratio to coronary heart disease risk in apparently healthy men and women. J Am Coll Cardiol. 2009;55(1):35–41.CrossRefPubMed Arsenault BJ, Rana JS, Stroes ES, et al. Beyond low-density lipoprotein cholesterol: respective contributions of non-high-density lipoprotein cholesterol levels, triglycerides and the total cholesterol/high-density lipoprotein cholesterol ratio to coronary heart disease risk in apparently healthy men and women. J Am Coll Cardiol. 2009;55(1):35–41.CrossRefPubMed
19.
go back to reference Goff DC, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129:S49-S73. Goff DC, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129:S49-S73.
20.
go back to reference Bonner C, Jansen J, Newell BR, et al. I don’t believe it, but i’d better do something about it: patient experiences of online heart age risk calculators. J Med Internet Res. 2014;16(5):e120.CrossRefPubMedPubMedCentral Bonner C, Jansen J, Newell BR, et al. I don’t believe it, but i’d better do something about it: patient experiences of online heart age risk calculators. J Med Internet Res. 2014;16(5):e120.CrossRefPubMedPubMedCentral
21.
go back to reference Sheridan SL, Viera AJ, Krantz MJ, et al. The effect of giving global coronary risk information to adults: a systematic review. Arch Intern Med. 2010;170(3):230–9.CrossRefPubMed Sheridan SL, Viera AJ, Krantz MJ, et al. The effect of giving global coronary risk information to adults: a systematic review. Arch Intern Med. 2010;170(3):230–9.CrossRefPubMed
22.
go back to reference Virani SS, Woodard LD, Wang D, et al. Correlates of repeat lipid testing in patients with coronary heart disease. JAMA Intern Med. 2013;173(15):1439–44.CrossRefPubMed Virani SS, Woodard LD, Wang D, et al. Correlates of repeat lipid testing in patients with coronary heart disease. JAMA Intern Med. 2013;173(15):1439–44.CrossRefPubMed
23.
go back to reference Sposito AC, Ramires JA, Jukema JW, et al. Physicians’ attitudes and adherence to use of risk scores for primary prevention of cardiovascular disease: cross-sectional survey in three world regions. Curr Med Res Opin. 2009;25(5):1171–8.CrossRefPubMed Sposito AC, Ramires JA, Jukema JW, et al. Physicians’ attitudes and adherence to use of risk scores for primary prevention of cardiovascular disease: cross-sectional survey in three world regions. Curr Med Res Opin. 2009;25(5):1171–8.CrossRefPubMed
24.
go back to reference Hobbs FD, Jukema JW, Da Silva PM, McCormack T, Catapano AL. Barriers to cardiovascular disease risk scoring and primary prevention in Europe. QJM. 2010;103(10):727–39.CrossRefPubMed Hobbs FD, Jukema JW, Da Silva PM, McCormack T, Catapano AL. Barriers to cardiovascular disease risk scoring and primary prevention in Europe. QJM. 2010;103(10):727–39.CrossRefPubMed
25.
go back to reference van Steenkiste B, van der Weijden T, Stoffers HE, Grol R. Barriers to implementing cardiovascular risk tables in routine general practice. Scand J Prim Health Care. 2004;22(1):32–7.CrossRefPubMed van Steenkiste B, van der Weijden T, Stoffers HE, Grol R. Barriers to implementing cardiovascular risk tables in routine general practice. Scand J Prim Health Care. 2004;22(1):32–7.CrossRefPubMed
26.
go back to reference McKillop A, Crisp J, Walsh K. Barriers and enablers to implementation of a New Zealand-wide guideline for assessment and management of cardiovascular risk in primary health care: a template analysis. Worldviews Evid Based Nurs. 2012;9(3):159–71.CrossRefPubMed McKillop A, Crisp J, Walsh K. Barriers and enablers to implementation of a New Zealand-wide guideline for assessment and management of cardiovascular risk in primary health care: a template analysis. Worldviews Evid Based Nurs. 2012;9(3):159–71.CrossRefPubMed
27.
go back to reference van Steenkiste B, van der Weijden T, Timmermans D, Vaes J, Stoffers J, Grol R. Patients’ ideas, fears and expectations of their coronary risk: barriers for primary prevention. Patient Educ Couns. 2004;55(2):301–7.CrossRefPubMed van Steenkiste B, van der Weijden T, Timmermans D, Vaes J, Stoffers J, Grol R. Patients’ ideas, fears and expectations of their coronary risk: barriers for primary prevention. Patient Educ Couns. 2004;55(2):301–7.CrossRefPubMed
28.
go back to reference Cassel CK, Guest JA. Choosing wisely: helping physicians and patients make smart decisions about their care. JAMA. 2012;307(17):1801–2.CrossRefPubMed Cassel CK, Guest JA. Choosing wisely: helping physicians and patients make smart decisions about their care. JAMA. 2012;307(17):1801–2.CrossRefPubMed
29.
go back to reference Myers RH, Kiely DK, Cupples LA, Kannel WB. Parental history is an independent risk factor for coronary artery disease: the Framingham study. American Heart Journal. 1990;120(4):963–9.CrossRefPubMed Myers RH, Kiely DK, Cupples LA, Kannel WB. Parental history is an independent risk factor for coronary artery disease: the Framingham study. American Heart Journal. 1990;120(4):963–9.CrossRefPubMed
30.
go back to reference Woodward M, Brindle P, Tunstall-Pedoe H. Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC). Heart. 2007;93(2):172–6.CrossRefPubMed Woodward M, Brindle P, Tunstall-Pedoe H. Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC). Heart. 2007;93(2):172–6.CrossRefPubMed
31.
go back to reference Sivapalaratnam S, Boekholdt SM, Trip MD, et al. Family history of premature coronary heart disease and risk prediction in the EPIC-Norfolk prospective population study. Heart. 2010;96(24):1985–9.CrossRefPubMedPubMedCentral Sivapalaratnam S, Boekholdt SM, Trip MD, et al. Family history of premature coronary heart disease and risk prediction in the EPIC-Norfolk prospective population study. Heart. 2010;96(24):1985–9.CrossRefPubMedPubMedCentral
32.
go back to reference Thompson R. What have HMOs learned about clinical prevention services? An examination of the experience at Group Health Cooperative of Puget Sound. Milbank Q. 1996;74(4):469–509.CrossRefPubMed Thompson R. What have HMOs learned about clinical prevention services? An examination of the experience at Group Health Cooperative of Puget Sound. Milbank Q. 1996;74(4):469–509.CrossRefPubMed
Metadata
Title
Relationship between cardiovascular risk and lipid testing in one health care system: a retrospective cohort study
Authors
Robert J. Reid
Melissa L. Anderson
Paul A. Fishman
Jennifer B. McClure
Ron L. Johnson
Sheryl L. Catz
Beverly B. Green
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2015
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-015-0884-2

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