Effect of health information technology interventions on lipid management in clinical practice: A systematic review of randomized controlled trials

Aspry, Karen E.; Furman, Roy; Karalis, Dean G.; Jacobson, Terry A.; Zhang, Audrey M.; Liptak, Gregory S.; Cohen, Jerome D.

doi:10.1016/j.jacl.2013.10.004

Cited by 41Electronic Health Records SystemsLipoproteins and Cardiovascular HealthMedication Adherence and Compliance

Effect of health information technology interventions on lipid management in clinical practice: A systematic review of randomized controlled trials

Aspry, Karen E., Furman, Roy, Karalis, Dean G., Jacobson, Terry A., Zhang, Audrey M., Liptak, Gregory S., Cohen, Jerome D.·2013·Journal of Clinical Lipidology

DOI 10.1016/j.jacl.2013.10.004

Open this paper in CoChat — free account

Abstract

Background Large gaps in lipid treatment and medication adherence persist in high-risk outpatients in the United States. Health information technology (HIT) is being applied to close quality gaps in chronic illness care, but its utility for lipid management has not been widely studied.Objective To perform a qualitative review of the impact of HIT interventions on lipid management processes of care (screening or testing; drug initiation, titration or adherence; or referrals) or clinical outcomes (percent at low density lipoprotein cholesterol goal; absolute lipid levels; absolute risk scores; or cardiac hospitalizations) in outpatients with coronary heart disease or at increased risk.Methods PubMed and Google Scholar databases were searched using Medical Subject Headings related to clinical informatics and cholesterol or lipid management. English language articles that described a randomized controlled design, tested at least one HIT tool in high risk outpatients, and reported at least 1 lipid management process measure or clinical outcome, were included.Results Thirty-four studies that enrolled 87,874 persons were identified. Study ratings, outcomes, and magnitude of effects varied widely. Twenty-three trials reported a significant positive effect from a HIT tool on lipid management, but only 14 showed evidence that HIT interventions improve clinical outcomes. There was mixed evidence that provider-level computerized decision support improves outcomes. There was more evidence in support of patient-level tools that provide connectivity to the healthcare system, as well as system-level interventions that involve database monitoring and outreach by centralized care teams.Conclusion Randomized controlled trials show wide variability in the effects of HIT on lipid management outcomes. Evidence suggests that multilevel HIT approaches that target not only providers but include patients and systems approaches will be needed to improve lipid treatment, adherence and quality.

Integrity signals

Registry

Crossref · 10.1016/j.jacl.2013.10.004

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

A review of randomized trials at system, practitioner, and patient levels for lipid management using health information technology found better management in system-level and individual-patient implementations.
“A recent review of system, practitioner, and individual patient-level randomized trials to evaluate level-specific lipid management approaches that all used a health information technology component concluded that systems and individual patient implementations showed better management (4).”
From An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017) · cites this paper as [4]

Summary of the second report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel II)
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944 · see citing works
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)
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011 · see citing works
Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study
Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17018-9 · Cited by 12,026 · see citing works
Implications of Recent Clinical Trials for the National Cholesterol Education Program Adult Treatment Panel III Guidelines
Grundy, S. M., Cleeman, J. I., Merz, C. N. B., Brewer, H. B., Clark, L. T., Hunninghake, D. B., Pasternak, R. C., Smith, S. C., & Stone, N. J. (2004) · Circulation · doi:10.1161/01.cir.0000133317.49796.0e · Cited by 6,902 · see citing works
Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90 056 participants in 14 randomised trials of statins
(2005) · The Lancet · doi:10.1016/s0140-6736(05)67394-1 · Cited by 6,848 · see citing works
Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170 000 participants in 26 randomised trials
Cholesterol Treatment Trialists' (CTT) Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)61350-5 · Cited by 6,550 · see citing works
The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials
Collaborators, C. T. T. (. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60367-5 · Cited by 2,833 · see citing works
Improving Primary Care for Patients With Chronic Illness: The Chronic Care Model, Part 2
Bodenheimer, T., Wagner, E. H., & Grumbach, K. (2002) · JAMA · doi:10.1001/jama.288.15.1909 · Cited by 2,413 · see citing works
Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults
Goodman, D. S. (1988) · Archives of Internal Medicine · doi:10.1001/archinte.1988.00380010040006 · Cited by 2,292 · see citing works
Is relationship between serum cholesterol and risk of premature death from coronary heart disease continuous and graded? Findings in 356,222 primary screenees of the Multiple Risk Factor Intervention Trial (MRFIT)
Stamler, J. (1986) · JAMA · doi:10.1001/jama.256.20.2823 · Cited by 1,996 · see citing works
Is Relationship Between Serum Cholesterol and Risk of Premature Death From Coronary Heart Disease Continuous and Graded?: Findings in 356 222 Primary Screenees of the Multiple Risk Factor Intervention Trial (MRFIT)
Stamler, J. (1986) · JAMA · doi:10.1001/jama.1986.03380200061022 · Cited by 1,318 · see citing works
Coronary Heart Disease Prediction From Lipoprotein Cholesterol Levels, Triglycerides, Lipoprotein(a), Apolipoproteins A-I and B, and HDL Density Subfractions
Sharrett, A. R., Ballantyne, C. M., Coady, S., HEISS, G. M., Sorlie, P. D., Catellier, D., & Patsch, W. (2001) · Circulation · doi:10.1161/hc3501.095214 · Cited by 942 · see citing works
Serum total cholesterol and long-term coronary heart disease mortality in different cultures. Twenty-five-year follow-up of the seven countries study
Verschuren, W. M. M. (1995) · JAMA · doi:10.1001/jama.274.2.131 · Cited by 791 · see citing works
Relationship of Baseline Serum Cholesterol Levels in 3 Large Cohorts of Younger Men to Long-term Coronary, Cardiovascular, and All-Cause Mortality and to Longevity
Stamler, J. (2000) · JAMA · doi:10.1001/jama.284.3.311 · Cited by 609 · see citing works
Serum Total Cholesterol and Long-term Coronary Heart Disease Mortality in Different Cultures: Twenty-five—Year Follow-up of the Seven Countries Study
Verschuren, W. M. M. (1995) · JAMA · doi:10.1001/jama.1995.03530020049031 · Cited by 573 · see citing works
Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials
Roshanov, P. S., Fernandes, N., Wilczynski, J. M., Hemens, B. J., You, J. J., Handler, S. M., Nieuwlaat, R., Souza, N. M., Beyene, J., Spall, H. G. C. V., et al. (2013) · BMJ · doi:10.1136/bmj.f657 · Cited by 458 · see citing works
A Randomized Trial Comparing Telemedicine Case Management with Usual Care in Older, Ethnically Diverse, Medically Underserved Patients with Diabetes Mellitus: 5 Year Results of the IDEATel Study
Shea, S., Weinstock, R. S., Teresi, J. A., Palmas, W., Starren, J. B., Cimino, J. J., Lai, A. M., Field, L., Morin, P. C., Goland, R., et al. (2009) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m3157 · Cited by 375 · see citing works
The Impact of Electronic Patient Portals on Patient Care: A Systematic Review of Controlled Trials
Ammenwerth, E., Schnell‐Inderst, P., & Hoerbst, A. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2238 · Cited by 364 · see citing works
A Randomized Trial Comparing Telemedicine Case Management with Usual Care in Older, Ethnically Diverse, Medically Underserved Patients with Diabetes Mellitus
Shea, S. A., Weinstock, R. S., Starren, J. B., Teresi, J. A., Palmas, W., Field, L., Morin, P. C., Goland, R., Izquierdo, R. E., Wolff, L. T., et al. (2005) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1917 · Cited by 309 · see citing works
Lipid Treatment Assessment Project 2
Waters, D. D., Brotons, C., Chiang, C.-W., Ferrières, J., Foody, J. M., Jukema, J. W., Santos, R. D., Verdejo, J., Messig, M., McPherson, R., et al. (2009) · Circulation · doi:10.1161/circulationaha.108.838466 · Cited by 305 · see citing works
Impact of Electronic Health Record Clinical Decision Support on Diabetes Care: A Randomized Trial
O’Connor, P. J., Sperl‐Hillen, J. M., Rush, W. A., Johnson, P. E., Amundson, G. H., Asche, S. E., Ekstrom, H. L., & Gilmer, T. (2011) · The Annals of Family Medicine · doi:10.1370/afm.1196 · Cited by 264 · see citing works
A Randomized Trial of Electronic Clinical Reminders to Improve Quality of Care for Diabetes and Coronary Artery Disease
Sequist, T. D., Gandhi, T. K., Karson, A. S., Fiskio, J. M., Bugbee, D., Sperling, M., Cook, E. F., Orav, E. J., Fairchild, D. G., & Bates, D. W. (2005) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1788 · Cited by 250 · see citing works
Computerized clinical decision support systems for chronic disease management: A decision-maker-researcher partnership systematic review
Roshanov, P. S., Misra, S., Gerstein, H. C., Garg, A. X., Sebaldt, R. J., Mackay, J. A., Weise-Kelly, L., Navarro, T., Wilczynski, N. L., Haynes, R. B., et al. (2011) · Implementation Science · doi:10.1186/1748-5908-6-92 · Cited by 236 · see citing works
Individualized electronic decision support and reminders to improve diabetes care in the community: COMPETE II randomized trial
Holbrook, A. M., Thabane, L., Keshavjee, K., Dolovich, L. R., Bernstein, B., Chan, D., Troyan, S., Foster, G., Gerstein, H. C., & for the COMPETE II Investigators (2009) · Canadian Medical Association Journal · doi:10.1503/cmaj.081272 · Cited by 231 · see citing works
Practice-Linked Online Personal Health Records for Type 2 Diabetes Mellitus
Grant, R. W., Wald, J., Schnipper, J., Gandhi, T., Poon, E., Orav, E., Williams, D. H., Volk, L., & Middleton, B. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.16.1776 · Cited by 227 · see citing works
Twelve-month outcomes of an Internet-based diabetes self-management support program
Glasgow, R. E., Kurz, D., King, D. K., Dickman, J. M., Faber, A. J., Halterman, E., Woolley, T., Toobert, D. J., Strycker, L. A., Estabrooks, P. A., et al. (2011) · Patient Education and Counseling · doi:10.1016/j.pec.2011.07.024 · Cited by 205 · see citing works
Effects of computerized guidelines for managing heart disease in primary care
Tierney, W. M., Overhage, J. M., Murray, M. D., Harris, L. E., Zhou, X., Eckert, G. J., Smith, F. E., Nienaber, N. A., McDonald, C. J., & Wolinsky, F. D. (2003) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2003.30635.x · Cited by 199 · see citing works
A Controlled Trial of Web-Based Diabetes Disease Management
Meigs, J. B., Cagliero, E., Dubey, A. K., Murphy-Sheehy, P., Gildesgame, C., Chueh, H. C., Barry, M. J., Singer, D. E., & Nathan, D. M. (2003) · Diabetes Care · doi:10.2337/diacare.26.3.750 · Cited by 197 · see citing works
A review on systematic reviews of health information system studies
Lau, F., Kuziemsky, C. E., Price, M., & Gardner, J. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.004838 · Cited by 182 · see citing works
Computerized clinical decision support systems for primary preventive care: A decision-maker-researcher partnership systematic review of effects on process of care and patient outcomes
Souza, N. M., Sebaldt, R. J., Mackay, J. A., Prorok, J. C., Weise-Kelly, L., Navarro, T., Wilczynski, N. L., Haynes, R. B., & the CCDSS Systematic Review Team (2011) · Implementation Science · doi:10.1186/1748-5908-6-87 · Cited by 178 · see citing works
Can Disease Management Reduce Health Care Costs By Improving Quality?
Fireman, B. H., Bartlett, J., & Selby, J. V. (2004) · Health Affairs · doi:10.1377/hlthaff.23.6.63 · Cited by 169 · see citing works
Patient Knowledge of Coronary Risk Profile Improves the Effectiveness of Dyslipidemia Therapy
Grover, S. A. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.21.2296 · Cited by 166 · see citing works
ACCF/AHA/AMA–PCPI 2011 Performance Measures for Adults With Coronary Artery Disease and Hypertension
Drozda, J. P., Messer, J. V., Spertus, J. A., Abramowitz, B. M., Alexander, K. P., Beam, C. T., Bonow, R. O., Burkiewicz, J. S., Crouch, M., Goff, D. C., et al. (2011) · Circulation · doi:10.1161/cir.0b013e31821d9ef2 · Cited by 161 · see citing works
Disease Management and the Organization of Physician Practice
Casalino, L. P. (2005) · JAMA · doi:10.1001/jama.293.4.485 · Cited by 139 · see citing works
Improving Diabetes Care in Practice
PETERSON, K. A., Radosevich, D. M., O’Connor, P. J., Nyman, J. A., Prineas, R. J., Smith, S. A., Arneson, T. J., Corbett, V., Weinhandl, J. C., Lange, C. J., et al. (2008) · Diabetes Care · doi:10.2337/dc08-2034 · Cited by 127 · see citing works
Automated Outreach to Increase Primary Adherence to Cholesterol-Lowering Medications
Derose, S. F., Green, K., Marrett, E., Tunceli, K., Cheetham, T. C., Chiu, V. Y., Harrison, T. N., Reynolds, K., Vansomphone, S. S., & Scott, R. D. (2012) · JAMA Internal Medicine · doi:10.1001/2013.jamainternmed.717 · Cited by 126 · see citing works
Electronic Alerts Versus On-Demand Decision Support to Improve Dyslipidemia Treatment
van Wyk, J. T., van Wijk, M. A. M., Sturkenboom, M., Mosseveld, M., Moorman, P. W., & van der Lei, J. (2008) · Circulation · doi:10.1161/circulationaha.107.697201 · Cited by 124 · see citing works
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 · see citing works
The Effects of a Web-Based Intervention on the Physical Outcomes Associated with Diabetes Among Adults Age 60 and Older: A Randomized Trial
Bond, G. E., Burr, R. L., Wolf, F. M., Price, M. J., McCurry, S. M., & Teri, L. L. (2007) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2006.0057 · Cited by 121 · see citing works
Chronic Care Model and Shared Care in Diabetes: Randomized Trial of an Electronic Decision Support System
Smith, S. A., Shah, N. D., Bryant, S. C., Christianson, T. J. H., Bjornsen, S. S., Giesler, P. D., Krause, K. H., Erwin, P. J., & Montori, V. M. (2008) · Mayo Clinic Proceedings · doi:10.4065/83.7.747 · Cited by 113 · see citing works
The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials
McKibbon, K. A., Lokker, C., Handler, S. M., Dolovich, L. R., Holbrook, A. M., O’Reilly, D. J., Tamblyn, R. M., Hemens, B. J., Basu, R., Troyan, S., et al. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000304 · Cited by 102 · see citing works
Combined Task Delegation, Computerized Decision Support, and Feedback Improve Cardiovascular Risk for Type 2 Diabetic Patients
Cleveringa, F. G. W., Gorter, K. J., van den Donk, M., & Rutten, G. E. H. M. (2008) · Diabetes Care · doi:10.2337/dc08-0312 · Cited by 98 · see citing works
Modes of delivery for interventions to improve cardiovascular medication adherence.
Cutrona, S. L., Choudhry, N. K., Fischer, M. A., Servi, A. D., Liberman, J. N., Brennan, T. A., & Shrank, W. H. (2010) · PubMed · Cited by 95 · see citing works
Team-Based Care Approach to Cholesterol Management in Diabetes Mellitus
Pape, G. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.417 · Cited by 92 · see citing works
Implementing Clinical Guidelines in the Treatment of Hypertension in General Practice
HETLEVIK, J. H. I. (1998) · Blood Pressure · doi:10.1080/080370598437114 · Cited by 77 · see citing works
Internet based vascular risk factor management for patients with clinically manifest vascular disease: randomised controlled trial
Vernooij, J. W. P., Kaasjager, K. A. H., van der Graaf, Y., Wierdsma, J. M., Grandjean, H. M. H., Hovens, M. M. C., de Wit, G. A., Visseren, F. L. J., & on behalf of the SMART study group (2012) · BMJ · doi:10.1136/bmj.e3750 · Cited by 74 · see citing works
A randomized trial of an intervention to improve use and adherence to effective coronary heart disease prevention strategies
Sheridan, S., Draeger, L. B., Pignone, M., Keyserling, T., Simpson, R. J. J., Rimer, B., Bangdiwala, S., Cai, J.-W., & Gizlice, Z. (2011) · BMC Health Services Research · doi:10.1186/1472-6963-11-331 · Cited by 71 · see citing works
Randomized controlled trial of an informatics-based intervention to increase statin prescription for secondary prevention of coronary disease
Lester, W. T., Grant, R. W., Barnett, G. O., & Chueh, H. C. (2005) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2005.00268.x · Cited by 70 · see citing works
Web-Based Targeted Nutrition Counselling and Social Support for Patients at Increased Cardiovascular Risk in General Practice: Randomized Controlled Trial
Verheijden, M., Bakx, J. C., Akkermans, R., van den Hoogen, H., Godwin, N. M., Rosser, W., van Staveren, W., & van Weel, C. (2004) · Journal of Medical Internet Research · doi:10.2196/jmir.6.4.e44 · Cited by 68 · see citing works
A novel programme to evaluate and communicate 10-year risk of CHD reduces predicted risk and improves patients’ modifiable risk factor profile
Benner, J. S., Erhardt, L., Flammer, M., Moller, R. A., Rajicic, N., Changela, K., Yunis, C., Cherry, S. B., Gaciong, Z. A., Johnson, E. S., et al. (2008) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2008.01872.x · Cited by 65 · see citing works
Lipid Management in Patients With Coronary Artery Disease by a Clinical Pharmacy Service in a Group Model Health Maintenance Organization
Olson, K. L. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.1.49 · Cited by 65 · see citing works
Managing diabetes care using an integrated regional e-health approach
Harno, K., Kauppinen-Mäkelin, R., & Syrjäläinen, J. (2006) · Journal of Telemedicine and Telecare · doi:10.1258/135763306777978380 · Cited by 61 · see citing works
Shared Electronic Vascular Risk Decision Support in Primary Care
Holbrook, A. M. (2011) · Archives of Internal Medicine · doi:10.1001/archinternmed.2011.471 · Cited by 55 · see citing works
Health Information Technology
Rao, S. D., Brammer, C., McKethan, A., & Buntin, M. B. (2012) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2012.03.006 · Cited by 53 · see citing works
Simulated Physician Learning Intervention to Improve Safety and Quality of Diabetes Care: A Randomized Trial
O’Connor, P. J., Sperl‐Hillen, J. M., Johnson, P. E., Rush, W. A., Asche, S. E., Dutta, P., & Biltz, G. R. (2009) · Diabetes Care · doi:10.2337/dc08-0944 · Cited by 53 · see citing works
Impact of a Multifaceted Intervention on Cholesterol Management in Primary Care Practices
Bertoni, A. G., Bonds, D. E., Chen, H., Hogan, P. E., Crago, L., Rosenberger, E. L., Barham, A. H., Clinch, C. R., & Goff, D. C. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.44 · Cited by 52 · see citing works
Electronic Health Record-Based Patient Identification and Individualized Mailed Outreach for Primary Cardiovascular Disease Prevention: A Cluster Randomized Trial
Persell, S. D., Lloyd‐Jones, D. M., Friesema, E. M., Cooper, A. J., & Baker, D. W. (2012) · Journal of General Internal Medicine · doi:10.1007/s11606-012-2268-1 · Cited by 44 · see citing works
Achieving Optimal Lipid Goals in Patients With Coronary Artery Disease
Karalis, D. G., Subramanya, R. D., Hessen, S. E., Liu, L., & Victor, M. F. (2011) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2010.11.006 · Cited by 43 · see citing works
Self-citation
Residual Dyslipidemia Among United States Adults Treated With Lipid Modifying Therapy (Data from National Health and Nutrition Examination Survey 2009-2010)
Wong, N. D., Chuang, J., Wong, K., Pham, A. H., Neff, D., & Marrett, E. (2013) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2013.03.041 · Cited by 41 · see citing works
Lipid management in a private cardiology practice (the Midwest Heart Experience)
Brown, A. S., & Cofer, L. A. (2000) · The American Journal of Cardiology · doi:10.1016/s0002-9149(99)00934-0 · Cited by 37 · see citing works
Computerized community cholesterol control (4C): meeting the challenge of secondary prevention.
Gilutz, H., Novack, L., Shvartzman, P., Zelingher, J., Bonneh, D. Y., Henkin, Y., Maislos, M., Peleg, R., Liss, Z., Rabinowitz, G., et al. (2009) · PubMed · Cited by 36 · see citing works
Optimizing treatment of dyslipidemia in patients with coronary artery disease in the managed-care environment (the Rocky Mountain Kaiser Permanente Experience)
Merenich, J. A., Lousberg, T. R., Brennan, S. H., & Calonge, N. B. (2000) · The American Journal of Cardiology · doi:10.1016/s0002-9149(99)00937-6 · Cited by 35 · see citing works
Does the use of an electronic reminder device with or without counseling improve adherence to lipid-lowering treatment? The results of a randomized controlled trial
Kooij, M. J., Wijk, B. L. V., Heerdink, E. R., de Boer, A., & Bouvy, M. L. (2013) · Frontiers in Pharmacology · doi:10.3389/fphar.2013.00069 · Cited by 33 · see citing works
Effectiveness of the Electronic Medical Record in Improving the Management of Hypertension
Kinn, J. W., Marek, J. C., O'Toole, M. F., Rowley, S. M., & Bufalino, V. J. (2002) · Journal of Clinical Hypertension · doi:10.1111/j.1524-6175.2002.01248.x · Cited by 30 · see citing works
The Relationship Between Low-Density Lipoprotein Cholesterol Goal Attainment and Prevention of Coronary Heart Disease-Related Events
Ito, M. K., Delucca, G. M., & Aldridge, M. A. (2001) · Journal of Cardiovascular Pharmacology and Therapeutics · doi:10.1177/107424840100600204 · Cited by 28 · see citing works
Bridging the quality gap in diabetic hyperlipidemia: a practice-based intervention.
Mehler, P., Krantz, M., Lundgren, R. A., Estacio, R., Mackenzie, T. D., Petralia, L., & Hiatt, W. (2005) · American Journal of Medicine · doi:10.1016/j.amjmed.2005.07.038 · Cited by 24 · see citing works
Loss of early gains in low-density lipoprotein cholesterol goal attainment among high-risk patients
Foody, J. M., Sajjan, S. G., Hu, X., Ramey, D. R., Neff, D., Tershakovec, A. M., Tomassini, J. E., Wentworth, C., & Tunceli, K. (2010) · Journal of clinical lipidology · doi:10.1016/j.jacl.2010.01.007 · Cited by 22 · see citing works
Translating Cholesterol Guidelines Into Primary Care Practice: A Multimodal Cluster Randomized Trial
Eaton, C. B., Parker, D. R., Borkan, J., McMurray, J., Roberts, M. B., Lü, B., Goldman, R. E., & Ahern, D. K. (2011) · The Annals of Family Medicine · doi:10.1370/afm.1297 · Cited by 22 · see citing works
Low-density lipoprotein cholesterol target achievement in patients at high risk for coronary heart disease
Kitkungvan, D., Fillipon, N. M. L., Dani, S. S., & Downey, B. C. (2010) · Journal of clinical lipidology · doi:10.1016/j.jacl.2010.06.003 · Cited by 21 · see citing works
Connected for Health: Using Electronic Health Records to Transform Care Delivery
Hogan, R. W. (2011) · The Permanente Journal · doi:10.7812/tpp/11-026 · Cited by 21 · see citing works
Effects Of Internet-Based Tailored Advice on the Use of Cholesterol-Lowering Interventions: A Randomized Controlled Trial
Webster, R. J., Li, S. C., SULLIVAN, D. R., Jayne, K., Su, S. Y. S., & Neal, B. C. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1364 · Cited by 14 · see citing works
Improving Diabetes Care Among Patients Overdue for Recommended Testing: A Randomized Controlled Trial of Automated Telephone Outreach
Simon, S. R., Trinacty, C. M., Soumerai, S. B., Piette, J. D., Meigs, J. B., Shi, P., Ensroth, A., & Ross‐Degnan, D. (2010) · Diabetes Care · doi:10.2337/dc09-2332 · Cited by 13 · see citing works
Improving treatment intensification to reduce cardiovascular disease risk: a cluster randomized trial
Selby, J. V., Schmittdiel, J. A., FIREMAN, B. H., Jaffe, M. G., Ransom, L. J., Dyer, W., Uratsu, C. S., Reed, M., Kerr, E. A., & Hsu, J. (2012) · BMC Health Services Research · doi:10.1186/1472-6963-12-183 · Cited by 10 · see citing works
Harnessing Health IT for Improved Cardiovascular Risk Management
Wells, S., Whittaker, R., Dorey, E., & Bullen, C. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000313 · Cited by 5 · see citing works
The Promise of Preventive Interventions Depends on Robust Health Care Delivery
O’Malley, P. G., & Greenland, P. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.6.532 · Cited by 2 · see citing works

Flagged first, then by citations

3 of the 78 references couldn’t be matched to a known paper.

Sorted by citations

An Overview of Research and Evaluation Designs for Dissemination and Implementation
Brown, C. H., Curran, G., Palinkas, L. A., Aarons, G. A., Wells, K. B., Jones, L., Collins, L. M., Duan, N., Mittman, B. S., Wallace, A., et al. (2017) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-031816-044215 · Cited by 509 · see citing works
A review of low-density lipoprotein cholesterol, treatment strategies, and its impact on cardiovascular disease morbidity and mortality
Wadhera, R. K., Steen, D. L., Khan, I., Giugliano, R. P., & Foody, J. M. (2016) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2015.11.010 · Cited by 306 · see citing works
Mapping the evidence on the effectiveness of telemedicine interventions in diabetes, dyslipidemia, and hypertension: An umbrella review of systematic reviews and meta-analyses
Timpel, P., Oswald, S., Schwarz, P. E. H., & Harst, L. (2020) · Journal of Medical Internet Research · doi:10.2196/16791 · Cited by 243 · see citing works
Rapid identification of familial hypercholesterolemia from electronic health records: The SEARCH study
Safarova, M. S., Liu, H., & Kullo, I. (2016) · Journal of clinical lipidology · doi:10.1016/j.jacl.2016.08.001 · Cited by 102 · see citing works
Patient-Centered Outcomes of Medication Adherence Interventions: Systematic Review and Meta-Analysis
Conn, V. S., Ruppar, T. M., Enriquez, M., & Cooper, P. S. (2016) · Value in Health · doi:10.1016/j.jval.2015.12.001 · Cited by 83 · see citing works
The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis
on behalf of the UCC-SMART study group, Groenhof, T. K. J., Asselbergs, F. W., Groenwold, R. H. H., Grobbee, D. E., Visseren, F. L. J., & Bots, M. L. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0824-x · Cited by 62 · see citing works
Routine Health Information System (RHIS) improvements for strengthened health system management
Leon, N., Balakrishna, Y., Hohlfeld, A., Odendaal, W., Schmidt, B., Zweigenthal, V., Watkins, J. A., & Daniels, K. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012012.pub2 · Cited by 57 · see citing works
Effects of using a mobile health application on the health conditions of patients with arterial hypertension: A pilot trial in the context of Brazil’s Family Health Strategy
Debon, R., Bellei, E. A., Biduski, D., Volpi, S. S., Alves, A. L. S., Portella, M. R., & Marchi, A. C. B. D. (2020) · Scientific Reports · doi:10.1038/s41598-020-63057-w · Cited by 52 · see citing works
Improving Medication Adherence in Coronary Heart Disease
Zullig, L. L., Ramos, K., & Bosworth, H. B. (2017) · Current Cardiology Reports · doi:10.1007/s11886-017-0918-y · Cited by 47 · see citing works
The importance of low-density lipoprotein cholesterol measurement and control as performance measures: A joint Clinical Perspective from the National Lipid Association and the American Society for Preventive Cardiology
Virani, S. S., Aspry, K. E., Dixon, D. L., Ferdinand, K. C., Heidenreich, P. A., Jackson, E. J., Jacobson, T. A., McAlister, J. L., Neff, D., Gulati, M., et al. (2023) · Journal of clinical lipidology · doi:10.1016/j.jacl.2023.02.003 · Cited by 43 · see citing works
Self-citation
Impact of digital services on healthcare and social welfare: An umbrella review
Härkönen, H., Lakoma, S., Verho, A., Torkki, P. M., Leskelä, R., Pennanen, P., Laukka, E., & Jansson, M. M. (2024) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2024.104692 · Cited by 39 · see citing works
Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community
Xue-juan, W., Wu, H., Ge, C., Liu, X., Jia, H., Li, W., Xiao-ling, G., Liu, W., Gao, W., & Liang, W. (2018) · BMC Health Services Research · doi:10.1186/s12913-018-3610-z · Cited by 26 · see citing works
Views of primary care physicians and rheumatologists regarding screening and treatment of hyperlipidemia among patients with rheumatoid arthritis
Navarro-Millán, I. Y., Cornelius‐Schecter, A., O’Beirne, R. J., Morris, M. S., Lui, G. E., Goodman, S. M., Cherrington, A., Fraenkel, L., Curtis, J. R., & Safford, M. M. (2020) · BMC Rheumatology · doi:10.1186/s41927-020-0112-5 · Cited by 22 · see citing works
Health information communication technology evaluation frameworks for pharmacist prescribing: A systematic scoping review
Ogundipe, A., Sim, T. F., & Emmerton, L. (2022) · Research in Social and Administrative Pharmacy · doi:10.1016/j.sapharm.2022.09.010 · Cited by 22 · see citing works
The importance of low-density lipoprotein cholesterol measurement and control as performance measures: A joint clinical perspective from the National Lipid Association and the American Society for Preventive Cardiology
Virani, S. S., Aspry, K. E., Dixon, D. L., Ferdinand, K. C., Heidenreich, P. A., Jackson, E. J., Jacobson, T. A., McAlister, J. L., Neff, D., Gulati, M., et al. (2023) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2023.100472 · Cited by 24 · see citing works
Self-citation
An Integrated Process for Co-Developing and Implementing Written and Computable Clinical Practice Guidelines
Matson-Koffman, D. M., Robinson, S. J., Jakhmola, P., Fochtmann, L. J., Willett, D. L., Lubin, I. M., Burton, M. M., Tailor, A., Pitts, D. L., Casey, D. E., et al. (2023) · American Journal of Medical Quality · doi:10.1097/jmq.0000000000000137 · Cited by 22 · see citing works
Medication adherence: process for implementation
Zullig, L. L., Mendys, P., Burkholder, R., Granger, B. B., & Bosworth, H. B. (2014) · Patient Preference and Adherence · doi:10.2147/ppa.s65041 · Cited by 17 · see citing works
Routine Health Information System (RHIS) interventions to improve health systems management
Leon, N., Brady, L., Kwamie, A., & Daniels, K. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012012 · Cited by 10 · see citing works
Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes
Mebrahtu, T. F., Bloor, K. E., Ledward, A., Keenan, A., Andre, D., Randell, R., Skyrme, S., Yang, H., King, H., & Thompson, C. A. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd014699 · Cited by 11 · see citing works
Electronic Medical Records and Their Use in Health Promotion and Population Research of Cardiovascular Disease
Kite, B., Tangasi, W., Kelley, M. M., Bower, J. K., & Foraker, R. E. (2014) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-014-0422-5 · Cited by 9 · see citing works
Barriers and facilitators for screening and treatment of hyperlipidemia among patients with inflammatory arthritis
Navarro-Millán, I. Y., Young, S. R., Shurbaji, S., McDavid, C., Cornelius‐Schecter, A., Johnson, B., Cherrington, A., Fraenkel, L., Goodman, S. M., Curtis, J. R., et al. (2020) · BMC Rheumatology · doi:10.1186/s41927-020-00123-w · Cited by 9 · see citing works
Practical solutions for implementation of blood cholesterol guidelines in clinical practice
Piazza, G., Desai, N. R., Baber, U., Exter, J., Kalich, B. A., & Monteleone, P. P. (2023) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2023.08.001 · Cited by 8 · see citing works
Improving lipid control following myocardial infarction
Ankam, J. V., Feldman, D. I., Blaha, M. J., & Martin, S. S. (2014) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000093 · Cited by 7 · see citing works
Physicians Voluntarily Using an EHR-Based CDS Tool Improved Patients' Guideline-Related Statin Prescription Rates: A Retrospective Cohort Study
Chang, T. S., Buchipudi, A., Fonarow, G. C., Pfeffer, M. A., Singer, J. S., & Cheng, E. M. (2019) · Applied Clinical Informatics · doi:10.1055/s-0039-1692186 · Cited by 7 · see citing works
Systematizing Heart Failure Population Health
Khazanie, P., & Allen, L. A. (2020) · Heart Failure Clinics · doi:10.1016/j.hfc.2020.06.006 · Cited by 6 · see citing works
Protocol for the pilot randomized trial of the CArdiovascular Risk assEssment for Rheumatoid Arthritis (CARE RA) intervention: a peer coach behavioral intervention
Weiner, J., Lui, G. E., Brown, M., Páez, Y. D., Fritz, S., Sydnor-Campbell, T., Allen, A., Jabri, A., Venkatachalam, S., Gavigan, K., et al. (2022) · Pilot and Feasibility Studies · doi:10.1186/s40814-022-01041-z · Cited by 6 · see citing works
Virtual training of rheumatoid arthritis peer coaches in motivational interviewing skills and concepts of cardiovascular disease
Brown, M., Páez, Y. D., Jabri, A., Weiner, J., Allen, A., Sydnor-Campbell, T., Fritz, S., Creasman, M., Kasturi, S., Safford, M. M., et al. (2023) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2023.101130 · Cited by 5 · see citing works
Improving statin prescription through the involvement of nurses in the provision of ASCVD score: a quality improvement initiative in primary care
Alameddine, R., Seifeddine, S., Ishak, H., & Antoun, J. (2020) · Postgraduate Medicine · doi:10.1080/00325481.2020.1755146 · Cited by 3 · see citing works
Association of health information technology-driven multidisciplinary approaches with low-density lipoprotein cholesterol target achievement in patients with an acute coronary syndrome
Chen, Y.-S., Lin, H. H., Tsai, H., Lee, C.-L., Yeh, Y.-T., & Wu, Y. (2023) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2023.100613 · Cited by 3 · see citing works
Effects of an evidence-based computerized virtual clinician on low-density lipoprotein and non-high-density lipoprotein cholesterol in adults without cardiovascular disease: The Interactive Cholesterol Advisory Tool
Block, R., Abdolahi, A., Niemiec, C. P., Rigby, C. S., & Williams, G. C. (2015) · Health Informatics Journal · doi:10.1177/1460458215600040 · Cited by 2 · see citing works
Evaluation of the Effect of Education Provided by Pharmacists on Hyperlipidemic Patient’s Adherence to Medications and Blood Level of Lipids
Mehrpooya, M., Harchegani, A. L., Ahmadimoghaddam, D., Kalvandi, M., Mohammadi, Y., Javad, M. T., & Ataei, S. (2018) · Journal of Applied Pharmaceutical Science · doi:10.7324/japs.2018.8105 · Cited by 2 · see citing works
Editorial commentary: The long and winding road to follow dyslipidemia guidelines
Bonaventura, A. (2023) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2023.09.001 · Cited by 2 · see citing works
Estudio piloto de evaluación de una herramienta de ayuda a la decisión clínica: «Lipidólogo Virtual HTE-DLP 3.0»
Zamora, A., Soler, C., Ortega, E., Martín-Urda, A. I., Mora, J., Rivas, M. C. A., Sevilla, J. C., Vila, À., Ibarrexte, D., Pérez-Bernalte, R. M., et al. (2026) · Clínica e Investigación en Arteriosclerosis · doi:10.1016/j.arteri.2026.500893 · Cited by 1 · see citing works
JCL Roundtable: Health information technology in the management of lipoprotein disorders
Brown, W. V., Brown, A. S., Aspry, K. E., & Ito, M. K. (2014) · Journal of clinical lipidology · doi:10.1016/j.jacl.2013.12.009 · Cited by 1 · see citing works
Self-citation
Mailed outreach and facilitated test ordering to promote cholesterol screening in community health centers: A randomized trial
Persell, S. D., Brown, T., Lee, J. Y., Henley, E., Long, T., Sanchez, T., & Knight, R. (2016) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.12687 · Cited by 1 · see citing works
Additional file 3 of Protocol for the pilot randomized trial of the CArdiovascular Risk assEssment for Rheumatoid Arthritis (CARE RA) intervention: a peer coach behavioral intervention
Weiner, J., Lui, G. E., Brown, M., Páez, Y. D., Fritz, S., Sydnor-Campbell, T., Allen, A., Jabri, A., Venkatachalam, S., Gavigan, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19607634
Additional file 4 of Protocol for the pilot randomized trial of the CArdiovascular Risk assEssment for Rheumatoid Arthritis (CARE RA) intervention: a peer coach behavioral intervention
Weiner, J., Lui, G. E., Brown, M., Páez, Y. D., Fritz, S., Sydnor-Campbell, T., Allen, A., Jabri, A., Venkatachalam, S., Gavigan, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19607637
Additional file 1 of Protocol for the pilot randomized trial of the CArdiovascular Risk assEssment for Rheumatoid Arthritis (CARE RA) intervention: a peer coach behavioral intervention
Weiner, J., Lui, G. E., Brown, M., Páez, Y. D., Fritz, S., Sydnor-Campbell, T., Allen, A., Jabri, A., Venkatachalam, S., Gavigan, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19607628
Additional file 2 of Protocol for the pilot randomized trial of the CArdiovascular Risk assEssment for Rheumatoid Arthritis (CARE RA) intervention: a peer coach behavioral intervention
Weiner, J., Lui, G. E., Brown, M., Páez, Y. D., Fritz, S., Sydnor-Campbell, T., Allen, A., Jabri, A., Venkatachalam, S., Gavigan, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19607631
Additional file 1 of Barriers and facilitators for screening and treatment of hyperlipidemia among patients with inflammatory arthritis
Navarro-Millán, I., Young, S. R., Shurbaji, S., McDavid, C., Cornelius‐Schecter, A., Johnson, B., Cherrington, A., Fraenkel, L., Goodman, S. M., Curtis, J. R., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12408341
Pilot study evaluating a clinical decision support tool: “Virtual Lipidologist HTE-DLP 3.0”
Zamora, A., Soler, C., Ortega, E., Martín-Urda, A. I., Mora, J., Rivas, M. C. A., Sevilla, J. C., Vila, À., Ibarrexte, D., Pérez-Bernalte, R. M., et al. (2026) · Clínica e Investigación en Arteriosclerosis (English Edition) · doi:10.1016/j.artere.2026.500893

Impact of Decision Support in Electronic Medical Records on Lipid Management in Primary Care
Gill, J. M., Chen, Y. X., Glutting, J. J., Diamond, J. J., & Lieberman, M. I. (2009) · Population Health Management · doi:10.1089/pop.2009.0003 · Cited by 34 · see citing works
Impact of team-based health information technology to improve low-density lipoprotein cholesterol goal attainment after acute coronary syndrome hospital discharge: a single-center experience
Chen, Y. S., Lin, H., & Wu, Y. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad655.2948
Facilitated Lipid Management Using Interactive E-mail: Preliminary Results of a Randomized Controlled Trial
Lester, W. T., Grant, R. W., Octo, B. G., & Chueh, H. C. (2004) · Studies in health technology and informatics · doi:10.3233/978-1-60750-949-3-232 · Cited by 16 · see citing works
Association of health information technology-driven multidisciplinary approaches with low-density lipoprotein cholesterol target achievement in patients with an acute coronary syndrome
Chen, Y.-S., Lin, H. H., Tsai, H., Lee, C.-L., Yeh, Y.-T., & Wu, Y. (2023) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2023.100613 · Cited by 3 · see citing works
Printed in Great Britain
Hobbs, F. R., Delaney, B. C., Carson, A., & Joyce, E. (2015)

Authors: Aspry, K. E., Furman, R., Karalis, D. G., Jacobson, T. A., Zhang, A. M., Liptak, G. S., & Cohen, J. D.
Affiliations: Brown University (US)
Pennsylvania Hospital (US)
Emory University (US)
Saint Louis University (US)
Corresponding author: Aspry, Karen E.
ORCID: Aspry, Karen E.
Furman, Roy
Karalis, Dean G.
Jacobson, Terry A.
Venue: Journal of Clinical Lipidology
Publisher: Elsevier BV
Published: 2013-11
Volume: 7
Issue: 6
Pages: 546-560
ISSN: 1876-4789 (ISSN-L)
1933-2874
DOI: 10.1016/j.jacl.2013.10.004
OpenAlex: W2082139119
Cited by: 41
References: 78
Citations by year: 2026: 2 · 2024: 1 · 2023: 7 · 2022: 6 · 2021: 1 · 2020: 7 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 3 · 2015: 3 · 2014: 4
FWCI: 0.55
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of clinical lipidology (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
Keywords: health information technology, lipid control, cholesterol screening, LDL cholesterol goal attainment, medication adherence, decision support system, multilevel interventions, coronary artery disease, cardiovascular risk, quality of care gaps
MeSH terms: Humans, Lipids, Cholesterol, LDL, Medical Informatics, Randomized Controlled Trials as Topic, Databases, Factual

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Effect of health information technology interventions on lipid management in clinical practice: A systematic review of randomized controlled trials

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Cites

Cited by

Related

Record

About these checks