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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Circ Cardiovasc Qual Outcomes. Author manuscript; available in PMC 2010 November 1.
Published in final edited form as:
PMCID: PMC2835162

Mis-SHAPEing Public Health Policy

Erica S. Spatz, M.D. and Joseph S. Ross, M.D., M.H.S.

On June 19, 2009, the Heart Attack Prevention Bill, a bill mandating health insurance coverage of radiographic screening tests to detect asymptomatic atherosclerosis, was passed through the Texas legislature and is expected to be enacted in September.1 The bill, written by the SHAPE (Screening for Heart Attack Prevention and Education) Task Force and championed by Representative Rene O. Oliveira, was first introduced in 2007, but failed at that time because of a lack of scientific data. However, without further evidence or modification, the bill was recently reintroduced and passed, requiring health insurance companies to cover the costs for either cardiac computed tomography (CT scan) to measure coronary artery calcium score (CACS) or ultrasound to measure carotid artery intimal thickness (CIMT) every 5 years for all men aged 45–75 and women aged 55–75, along with persons of any age who have diabetes mellitus or an intermediate Framingham Risk Score.1

The Heart Attack Prevention Bill introduces complex questions about the level of scientific evidence needed to support legislative mandates for medical coverage. Neither screening test has demonstrated clinical efficacy in preventing acute myocardial infarctions nor is supported as a primary prevention strategy by any of the major guideline committees.2 In the absence of validating data, mandating medical coverage for these procedures raises concerns of unwarranted costs or harm to patients and potential for conflicts of interest.

This paper considers the: (1) rationale for mandating insurance coverage, (2) criteria for evaluating the merits of such policies, and (3) applies these criteria to evaluate the rationale and merits of the Heart Attack Prevention bill, including the political, economic, and social forces at play. As health coverage and payment reform efforts gain increasing momentum, it is critical that legislative coverage mandates qualify as effective public health policy.

Rationale for mandating insurance coverage

Currently, most health insurance coverage decisions are at the discretion of insurers, who have the autonomy to decide which medical services, procedures and treatments to cover. These decisions are variably determined by standard clinical practice, physician review committees, Medicare policies, or employer discretion, and are often held to the standard of demonstrating “proven benefit” or “medical necessity”.3 However, they have also been criticized for lack of transparency and prioritization of cost over quality.

Legislative mandates requiring insurance coverage of specific health care services have become increasingly common and have the potential to standardize, and perhaps improve, clinical practice.3, 4 According to the Council for Affordable Health Insurance, there are now 2,133 state mandates.5 For example, for disease prevention, most states mandate coverage of at least one cancer screening test. However, the rationale behind coverage mandates is not often made clear and there is little data to suggest that decisions are based on the prioritization of evidence-based guidelines, gaps in care, or anticipated benefit to the public.5, 6 Are state mandates intended to ensure that services with strong evidence reach the entire population? Or are state mandates intended to standardize coverage to ensure provision of services with equivocal evidence supporting their efficacy but which may prevent or treat serious diseases for which there are no effective diagnostic tests or treatments?

For example, mandates legislating equal access to health services may be justified based on their potential to reduce disparities in care. In 2008, legislation was enacted that required insurance coverage for mental health services to be equal to that appropriated for physical health services.7 However, policies intended to increase access may also diffuse unproven strategies, encourage outdated clinical practice, and stymie future research. For example, a bill in Minnesota legislating coverage of high dose chemotherapy with autologous bone marrow transplant for women with advanced breast cancer was legislated before there was substantive evidence supporting its benefits. When the treatment was later found to be ineffective and to cause premature death, more than 20,000 women (20 times the number of women it had been tested in) had received the harmful treatment.8, 9 The rationale for and goals of proposed legislative mandates must be made transparent, including a clear definition of the unmet health problem or need being addressed.

Evaluation of a health insurance coverage legislative mandate

In assessing the merits of a health coverage mandate, legislators must carefully consider the available scientific evidence supporting the bill and the impact of translating science into public health policy.10 Solid scientific evidence most often comes from randomized double-blind controlled trials and meta-analyses conducted by objective investigators independent of financial conflicts of interest; however, even these findings may be disputed. It is thus critical that legislators consider the opinions and recommendations of national guideline committees and national societies with scientific expertise. In addition, high-quality observational research offers a feasible, inexpensive, and rigorous approach for evaluating public health policies.11

Importantly, in the case of preventive care policies, evidence must support that early detection and subsequent treatment improves outcomes, and for all policies, the proposed care should be tested in the populations it is intended to treat. This may take the form of validation studies, pilot programs, or demonstration projects. For example, before implementing a program nationwide, the Centers for Medicare and Medicaid Services (CMS) initiated seven demonstration projects to examine the clinical effectiveness and potential cost-savings for several highly supported, yet unproven, disease management programs. Preliminary findings were mixed; most did not reduce utilization (or costs) or improve outcomes, challenging CMS to reconsider strategies to effectively improve care and reinforcing the value of pilot testing before investment in broad policy reform.12, 13

Effective health coverage mandates must explicitly define the target population. Ideally, the benefits will far outweigh risks, which are minimal, but any potential risks to the population (or sub-populations) need to be clearly described and carefully monitored. Arbitrarily applying one policy to all, no matter how strong the scientific evidence, may not qualify as good medicine or good policy. For example, in 2008 the United States Preventive Task Force updated their recommendations for colonoscopy screening, which originally recommended screening all persons over the age of 50. They added an upper age limit and consideration of co-morbid disease in response to new data demonstrating limited benefit, and potential harm, for people 75 years and older and those with co-morbid disease.14 State mandates need to reflect the most up-to-date scientific evidence to minimize potential risk to those for whom the evidence does not support receiving the care being mandated for coverage.

Effective health coverage mandates should also consider the associated costs of the mandate for insurers, individuals, the health system, and all vested parties. While the economic costs of mandates may initially be covered by insurers, these costs are likely to be passed on to patients as either co-payments or higher baseline insurance premiums or to be offset by eliminating coverage of other procedures or treatments.5 Ultimately, the entire health system is burdened by increased insurer costs. On the other hand, the rising demand for the mandated health service may have enormous economic benefits for individuals and companies who provide the service. It is therefore critical that the economic costs and benefits of the policy are outlined and that key stakeholders with potential financial conflicts of interest maintain, at a minimum, transparency and ideally remain outside of the health policy decision making process.

Rationale and merits of the Heart Attack Prevention bill

The rationale for the Heart Attack Prevention bill is not clear. While cardiovascular events occur in patients with minimal or no risk factors, the assumption that early detection and subsequent treatment of asymptomatic disease will result in fewer cardiovascular events has not been established.2, 15 Importantly, it is also unclear whether the lack of widespread use of these tests is a reflection of poor access, perhaps because of cost and limited insurance coverage, or because data are insufficient to support the tests as effective screening tools.

There are few merits to support this bill as an effective public health policy. National guideline committees have yet to endorse the recommendations of SHAPE, as strong scientific evidence is not available. Moreover, proven and effective alternative screening tests for coronary artery disease are already widely available. The targeted population outlined in the Heart Attack Prevention Bill is large and its impact will be costly. If rigorously followed, all men aged 45–75, women aged 55–75, and persons with diabetes mellitus or an intermediate Framingham Risk Score will be screened using either CT scan or ultrasound CIMT to detect asymptomatic heart disease. We can expect this legislation will increase the diffusion of these unproven clinical strategies; the associated individual-and population-level benefits and harms will need to be closely monitored. Ultimately, given the legislation’s unclear rationale and limited merits, it is important to consider the political, economic, and social forces that might have influenced its enactment.

Political forces

Legislators and physicians who advocated for the bill are vested in reducing the burden of heart disease and improving patient health. The SHAPE Task Force has received considerable support from leading cardiologists and other physicians throughout the country, most of whom presumably have laudable public health intentions. In addition, Representative Oliviera (who sponsored the bill) credits the cardiac CT scan with saving his own life; he underwent coronary artery bypass surgery after his screening exam revealed coronary calcifications. In turn, he is likely advocating for his constituents, trying to ensure their access to new, innovative, and potentially life-saving technology.

Economic forces

Many economic interests are well served by this bill, but seemingly not patients’. The proprietors of the cardiac CT scan and carotid ultrasound technology, cardiologists, imaging centers, hospitals, and medical device companies, will invariably benefit financially as more and more patients undergo these diagnostic tests, and subsequent therapeutic interventions, once they are covered by insurance companies. Pharmaceutical companies also stand to profit from the increased use of antilipidemic and other therapies resulting from greater numbers of people diagnosed with atherosclerosis. Of note, the manufacturer of the most commonly prescribed antilipidemic medication supported the development of the ‘guidelines’ on which the Heart Attack Bill was based, ‘guidelines’ that were not peer-reviewed.16 Finally, although the bill requires insurers to cover a minimum of $200 of the $1000 cost for each screening test, how that cost will be distributed throughout the health system has not been determined and is likely to be passed along to patients as higher premiums.

Social forces

In an effort to gain public support, the SHAPE Task Force developed a public service announcement depicting a young, healthy-appearing woman who suddenly dies at the wheel of her car from a massive heart attack.17 The advertisement implies that her heart attack could have been prevented had she been screened for coronary artery disease. Such propaganda engenders unwarranted concern for an unlikely event, and misleads the public into believing that these diagnostic tests are able to effectively screen for and prevent heart attacks. Personal anecdotes are powerful social messages and, likely, have also influenced the success of this legislation. In addition, legislative support of these unproven clinical strategies further feeds into healthcare’s ‘more is always better’ mentality. However, even screening tests may result in more harm than good.


The Heart Attack Prevention bill defies the basic tenets of current national health care reform approaches. That is, to invest in cost-effective, high quality care by researching best clinical practices (i.e. via comparative effectiveness research) and to establish sustainable expansion of health coverage to promote equity. Instead, it sets an unscrupulous precedent for the passage of future health coverage mandates and has reduced exciting and promising technological advancements into premature laws that are at best ignored but difficult to overturn and at worst ineffective, harmful, and costly. The efforts of SHAPE and the passage of this bill exemplifies the strength of a few vested interests and undermines the necessary foundation of public health mandates, based on sound scientific evidence, defined risks and benefits for a targeted population, and consideration of the financial health of the system at large.


Source of Funding: This project was not directly supported by any external grants or funds. Dr. Spatz is currently supported by the Robert Wood Johnson Clinical Scholars Program. Dr. Ross is currently supported by the National Institute on Aging (K08 AG032886) and by the American Federation of Aging Research through the Paul B. Beeson Career Development Award Program.


Disclosures: None

Contributor Information

Erica S. Spatz, Robert Wood Johnson Clinical Scholar. Yale University School of Medicine, New Haven, Connecticut.

Joseph S. Ross, Department of Geriatrics and Adult Development, Mount Sinai School of Medicine, New York, NY and HSR&D Research Enhancement Award Program and Geriatrics Research, Education, and Clinical Center, James J. Peters VA Medical Center, Bronx, NY.


1. The Heart Attack Prevention Bill. In: HBA 1290, 81st Leg; 2009.
2. Greenland P, Bonow RO, Brundage BH, Budoff MJ, Eisenberg MJ, Grundy SM, et al. ACCF/AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: a report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography) Circulation. 2007;115(3):402–26. [PubMed]
3. Rosenbaum S, Frankford DM, Moore B, Borzi P. Who should determine when health care is medically necessary? N Engl J Med. 1999;340(3):229–32. [PubMed]
4. Berenson AAR. Weighing the Costs of a CT Scan’s Look Inside the Heart. The New York Times; 2008. Jun 29, p. 2008.
5. Bunce VCWJ. Health Insurance Mandates in the States 2009. 2009.
6. Rathore SS, McGreevey JD, 3rd, Schulman KA, Atkins D. Mandated coverage for cancer-screening services: whose guidelines do states follow? Am J Prev Med. 2000;19(2):71–8. [PubMed]
7. Glied SA, Frank RG. Shuffling toward parity--bringing mental health care under the umbrella. N Engl J Med. 2008;359(2):113–5. [PubMed]
8. Jacobson PD, Rettig RA, Aubry WM. Litigating the science of breast cancer treatment. J Health Polit Policy Law. 2007;32(5):785–818. [PubMed]
9. Aubry WM. False Hope: ABMT for Breast Cancer. Health Plan Perspective; Academy Health: Annual Research Meeting; 2004.
10. Anderson LM, Brownson RC, Fullilove MT, Teutsch SM, Novick LF, Fielding J, et al. Evidence-based public health policy and practice: promises and limits. Am J Prev Med. 2005;28(5 Suppl):226–30. [PubMed]
11. Ross JS, Gross CP. Policy research: using evidence to improve healthcare delivery systems. Circulation. 2009;119(6):891–8. [PubMed]
12. Bott DM, Kapp MC, Johnson LB, Magno LM. Disease management for chronically ill beneficiaries in traditional Medicare. Health Aff (Millwood) 2009;28(1):86–98. [PubMed]
13. Peikes D, Chen A, Schore J, Brown R. Effects of care coordination on hospitalization, quality of care, and health care expenditures among Medicare beneficiaries: 15 randomized trials. Jama. 2009;301(6):603–18. [PubMed]
14. Screening for colorectal cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2008;149(9):627–37. [PubMed]
15. Greenland P, LaBree L, Azen SP, Doherty TM, Detrano RC. Coronary artery calcium score combined with Framingham score for risk prediction in asymptomatic individuals. Jama. 2004;291(2):210–5. [PubMed]
16. Jacobson PD. Transforming clinical practice guidelines into legislative mandates: proceed with abundant caution. Jama. 2008;299(2):208–10. [PubMed]
17. SHAPE Society for Heart Attack Prevention and Education. Public Service Announcement. [cited 2009 June 13]; Available from: