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Special Communication |

Clinical Practice Guidelines and Quality of Care for Older Patients With Multiple Comorbid Diseases: Title and subTitle BreakImplications for Pay for Performance

Cynthia M. Boyd, MD, MPH; Jonathan Darer, MD, MPH; Chad Boult, MD, MPH, MBA; Linda P. Fried, MD, MPH; Lisa Boult, MD, MPH, MA; Albert W. Wu, MD, MPH
[+] Author Affiliations

Author Affiliations: Divisions of Geriatric Medicine and Gerontology (Drs Boyd, C. Boult, Fried, and L. Boult) and General Internal Medicine (Dr Wu), School of Medicine (Drs Boyd, C. Boult, Fried, L. Boult, and Wu), and Center on Aging and Health (Drs Boyd, C. Boult, and Fried), and Departments of Epidemiology (Dr Fried) and Health Policy and Management (Drs Boyd, C. Boult, and Wu), Bloomberg School of Public Health (Drs Boyd, C. Boult, Fried, and Wu), and Roger C. Lipitz Center for Integrated Health Care (Drs Boyd and C. Boult), Johns Hopkins University, Baltimore, Md; and Midatlantic Permanente Medical Group, Baltimore, Md (Dr Darer).

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JAMA. 2005;294(6):716-724. doi:10.1001/jama.294.6.716
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Context  Clinical practice guidelines (CPGs) have been developed to improve the quality of health care for many chronic conditions. Pay-for-performance initiatives assess physician adherence to interventions that may reflect CPG recommendations.

Objective  To evaluate the applicability of CPGs to the care of older individuals with several comorbid diseases.

Data Sources  The National Health Interview Survey and a nationally representative sample of Medicare beneficiaries (to identify the most prevalent chronic diseases in this population); the National Guideline Clearinghouse (for locating evidence-based CPGs for each chronic disease).

Study Selection  Of the 15 most common chronic diseases, we selected hypertension, chronic heart failure, stable angina, atrial fibrillation, hypercholesterolemia, diabetes mellitus, osteoarthritis, chronic obstructive pulmonary disease, and osteoporosis, which are usually managed in primary care, choosing CPGs promulgated by national and international medical organizations for each.

Data Extraction  Two investigators independently assessed whether each CPG addressed older patients with multiple comorbid diseases, goals of treatment, interactions between recommendations, burden to patients and caregivers, patient preferences, life expectancy, and quality of life. Differences were resolved by consensus. For a hypothetical 79-year-old woman with chronic obstructive pulmonary disease, type 2 diabetes, osteoporosis, hypertension, and osteoarthritis, we aggregated the recommendations from the relevant CPGs.

Data Synthesis  Most CPGs did not modify or discuss the applicability of their recommendations for older patients with multiple comorbidities. Most also did not comment on burden, short- and long-term goals, and the quality of the underlying scientific evidence, nor give guidance for incorporating patient preferences into treatment plans. If the relevant CPGs were followed, the hypothetical patient would be prescribed 12 medications (costing her $406 per month) and a complicated nonpharmacological regimen. Adverse interactions between drugs and diseases could result.

Conclusions  This review suggests that adhering to current CPGs in caring for an older person with several comorbidities may have undesirable effects. Basing standards for quality of care and pay for performance on existing CPGs could lead to inappropriate judgment of the care provided to older individuals with complex comorbidities and could create perverse incentives that emphasize the wrong aspects of care for this population and diminish the quality of their care. Developing measures of the quality of the care needed by older patients with complex comorbidities is critical to improving their care.

The aging of the population and the increasing prevalence of chronic diseases pose challenges to the development and application of clinical practice guidelines (CPGs). In 1999, 48% of Medicare beneficiaries aged 65 years or older had at least 3 chronic medical conditions and 21% had 5 or more.1 Health care costs for individuals with at least 3 chronic conditions accounted for 89% of Medicare’s annual budget.1 Comorbidity is associated with poor quality of life, physical disability, high health care use, multiple medications, and increased risk for adverse drug events and mortality.2 - 4 Optimizing care for this population is a high priority.5

Clinical practice guidelines are based on clinical evidence and expert consensus to help decision making about treating specific diseases.6 Clinical practice guidelines help to define standards of care and focus efforts to improve quality.7 - 8 Most CPGs address single diseases in accordance with modern medicine’s focus on disease and pathophysiology.9 However, physicians who care for older adults with multiple diseases must strike a balance between following CPGs and adjusting recommendations for individual patients’ circumstances. Difficulties escalate with the number of diseases the patient has.10

The limitations of current single-disease CPGs may be highlighted by the growth of pay-for-performance initiatives, which reward practitioners for providing specific elements of care.8 Because the specific elements of care are based on single-disease CPGs, pay-for-performance may create incentives for ignoring the complexity of multiple comorbid chronic diseases and dissuade clinicians from caring for individuals with multiple comorbid diseases. Quality-of-care standards based on these CPGs also may lead to unfair and inaccurate judgments of physicians’ care for this population.

We examined how CPGs address comorbidity in older patients and explored what happens when multiple single-disease CPGs are applied to a hypothetical 79-year-old woman with 5 common chronic diseases. We discuss the results in the context of incentives that are created by pay for performance and related health care initiatives.

CPGs Included in the Review

To identify the diseases most prevalent in older individuals in the United States, we reviewed data from the National Health Interview Survey and a nationally representative sample of Medicare beneficiaries (5% of the Standard Analytic File).1 ,11 We defined a chronic disease as being present when a patient had 2 outpatient claims or 1 inpatient claim for the disease during 1999.

From the 15 most common chronic diseases, we selected 9 that are usually managed in primary care: hypertension, chronic heart failure, stable angina, atrial fibrillation, hypercholesterolemia, diabetes mellitus, osteoarthritis, chronic obstructive pulmonary disease, and osteoporosis. We excluded depression and dementia to focus on patients who would be most likely to adhere to recommendations and understand health information.12 - 13 Among the 5% sample in 2001, half of the beneficiaries had at least 2 of these 9 chronic diseases and 80% had at least 1 other condition.1 We identified the most recently released (as of March 1, 2005) evidence-based CPGs promulgated for each chronic disease by national and international medical organizations using the National Guideline Clearinghouse.14 - 42

Data Abstraction

Our review was based on standards for developing and rating the quality of CPGs.43 - 48 Indications of high quality included describing the target population, grading the quality of evidence supporting recommendations, discussing therapeutic goals, addressing quality of life, and incorporating patient preferences. We examined the concepts of competing risks and burden of treatment for patients and caregivers because these issues are central in the care of older adults with multiple diseases.49 - 50

Two investigators (C.M.B. and J.D.) independently abstracted data from each CPG about applicability to individuals aged 65 years or older with multiple comorbid diseases and the quality of evidence for this population; indications for treatment, feasibility of treatment, or modified goals for treating the index disease in the setting of comorbid diseases; and duration of therapy necessary to achieve benefit in the context of life expectancy. We reviewed CPGs for discussion of patient-centered aspects of medical decision making including effects on quality of life defined as explicit discussion of quality of life, physical function, or symptoms such as pain and dyspnea; differentiation between short- and long-term effects, goals of treatment (eg, cure, arresting progression of disease, preventing complications, or managing symptoms); incorporation of patient preferences or shared decision making; and burden of following recommendations on patients and their unpaid caregivers defined as explicit discussion of burden, or of the aggregate weight or intensity of therapy to either patients or caregivers. Of 117 abstraction decisions, investigators disagreed on 22. All were resolved by consensus after discussion between reviewers. Most disagreements involved statements that appeared ambiguous to the reviewers; some explanation is provided in the tables and additional details are available on request from the authors.

Hypothetical Patient

We examined the feasibility of combining the treatment recommendations from relevant CPGs for a hypothetical 79-year-old woman with osteoporosis, osteoarthritis, type 2 diabetes mellitus, hypertension, and chronic obstructive pulmonary disease, all of moderate severity. We abstracted the recommendations (medications, self-monitoring, tests, environmental change, diet, exercise, involvement of specialists and other clinicians, and frequency of follow-up) from the relevant CPGs and assembled a comprehensive treatment plan using explicit instructions from CPGs whenever possible.19 - 40 We attempted to develop a treatment plan as simple and inexpensive as possible. When several options existed, we selected generic medications with the least frequent daily dosing and least potential for adverse effects. To reduce complexity of treatment, when possible we chose medications recommended for more than 1 condition and combined self-care activities whenever possible. We identified conflicts that emerged when relevant CPGs were applied (eg, potential adverse effects on other diseases when treating the target disease, interactions between recommended medications, and interactions between food and medications).

We tabulated the number of medications and medication doses per day. We quantified the complexity of the medication regimen by summing the number of different dosage schedules, weighted for dosing frequency (eg, once per day = 1; 3 times per day = 3).51 A regimen with 7 different medications consisting of 4 drugs taken once per day and 3 drugs taken twice per day generates a complexity score of 3 (1 + 2). A regimen with 1 drug taken once per day (nightly), 2 drugs taken twice per day, and 1 drug taken 3 times per day has a complexity score of 6 (1 + 2 + 3). We estimated the cost of the regimen and calculated anticipated out-of-pocket costs with coverage by Medicare’s Part D.52

Applicability of CPGs to Older Adults With Comorbid Illness

Although 7 of the 9 CPGs discussed older adults or comorbid diseases, only 4 CPGs (diabetes, osteoarthritis, atrial fibrillation, and angina) addressed older individuals with multiple comorbidities (Table 1 and Table 2).15 - 42 The CPGs addressing osteoarthritis, osteoporosis, and chronic obstructive pulmonary disease did not discuss the quality of evidence underlying recommendations for older patients. Only the CPGs addressing diabetes and atrial fibrillation discussed the quality of evidence for older persons with several chronic diseases (Table 1 and Table 2). The diabetes CPG notes the absence of evidence favoring tight glycemic control for older patients and suggests that looser control may be appropriate for older adults or individuals with a limited life expectancy.

Table Grahic Jump LocationTable 1. Relevance of Clinical Practice Guidelines for the Treatment of Older Patients With Diabetes Mellitus, Hypertension, Osteoarthritis, Osteoporosis, and Chronic Obstructive Pulmonary Disease (COPD)
Table Grahic Jump LocationTable 2. Relevance of Clinical Practice Guidelines for the Treatment of Older Patients With Atrial Fibrillation, Chronic Heart Failure, Angina, and Hypercholesterolemia

Seven CPGs made recommendations for treating the target disease in conjunction with a single other chronic disease (Table 1 and Table 2). Discussing possible adverse effects of following the recommendations, the osteoarthritis CPG recommended gastroprotective agents in older patients taking certain anti-inflammatory drugs and mentioned that clinical trials excluded patients at high risk of bleeding. Only the CPGs for diabetes, chronic heart failure, angina, and hypercholesterolemia gave general guidance about treatment in the presence of several chronic diseases (Table 1 and Table 2). The CPGs addressing chronic heart failure and hypercholesterolemia discussed treatment in the setting of other cardiac diseases but not of noncardiac diseases.

Only the diabetes CPG discussed the relationship between life expectancy and the time needed to treat to achieve benefit (Table 1). The angina CPG discussed life expectancy in the context of interventions that could lead to invasive procedures but did not address duration of treatment required to achieve benefit.

Inclusion of Patient-Centered Domains in CPGs

None of the CPGs discussed the burden of comprehensive treatment on patients or caregivers. Three (hypertension, angina, and hypercholesterolemia) acknowledged patients’ financial burden; the diabetes CPG mentioned the discomfort and inconvenience of self-monitoring blood glucose. The atrial fibrillation CPG noted that quality of life can be affected by drug interactions and the need for frequent blood tests in patients taking warfarin. None discussed balancing short- and long-term goals, such as when short-term quality of life is better without a treatment that provides long-term benefits. The osteoporosis and hypercholesterolemia CPGs did not discuss quality of life. Seven of the CPGs discussed patients’ preferences about medical care, but this was often without guidance for incorporating preferences. Only the chronic heart failure CPG explicitly discussed preferences for end-of-life treatment.

Applying CPGs to a Hypothetical Patient

Applying the relevant CPGs to the hypothetical 79-year-old patient, we generated a possible treatment schedule that would result if all the recommendations in the CPGs were followed (Table 3 and Article ). The patient would take 12 separate medications with a medication complexity score of 14.51 This regimen requires 19 doses per day, taken at 5 times during a typical day, assuming that albuterol “as needed” is taken twice daily, plus weekly alendronate.

Table Grahic Jump LocationTable 3. Treatment Regimen Based on Clinical Practice Guidelines for a Hypothetical 79-Year-Old Woman With Hypertension, Diabetes Mellitus, Osteoporosis, Osteoarthritis, and COPD*
Box. Recommendations Based on Clinical Practice Guidelines for a Hypothetical 79-Year-Old Woman With Hypertension, Diabetes Mellitus, Osteoarthritis, Osteoporosis, and COPD*

Patient Tasks

  • Joint protection

  • Energy conservation

  • Exercise

    Non–weight-bearing if severe foot disease present or weight-bearing for osteoporosis

    Aerobic exercise for 30 min on most days

    Muscle strengthening

    Range of motion

  • Avoid environmental exposures that might exacerbate chronic obstructive pulmonary disease (COPD)

  • Wear appropriate footwear

  • Limit intake of alcohol

  • Maintain normal body weight (body mass index of between 18.5 and 24.9)

Clinician Tasks

  • Administer vaccine

    Pneumonia

    Influenza annually

  • Check blood pressure at all clinician visits and sometimes at home†

  • Evaluate self-monitoring of blood glucose

  • Foot examination at all clinician visits if neuropathy present; otherwise check feet for protective sensation, structure, biomechanics, vascular status, and skin integrity annually

  • Laboratory tests

    Microalbuminuria annually if not already present

    Creatinine level and electrolytes at least 1 to 2 times per year

    Cholesterol levels annually

    Liver function biannually

    Glycosylated hemoglobin level biannually to quarterly, depending on level of control

  • Referrals

    Physical therapy

    Ophthalmologic examination

    Pulmonary rehabilitation

    Dual-energy x-ray absorptiometry scan every other year

  • Patient education

    High-risk foot conditions, foot care, and foot wear

    Osteoarthritis

    COPD medication and delivery system training

    Diabetes mellitus

*See asterisk footnote in Table 3 for a list of the clinical practice guidelines used.
†Ambulatory blood pressure monitoring is helpful if “white coat hypertension” is suspected and no target organ damage, apparent drug resistance, hypotensive symptoms with antihypertensive medication, or episodic hypertension.

Some nonpharmacological recommendations apply to more than 1 disease. Fourteen nonpharmacological activities are recommended for this patient if all nutritional recommendations are pooled into one. The CPGs also recommend one-time educational and rehabilitative interventions, and monitoring of the patient’s chronic diseases from daily to biennial intervals depending on the type of monitoring. It theoretically would be possible to compress all monitoring into 2 to 4 primary care visits and 1 ophthalmologic visit per year. However, patients often have several clinicians,53 although in some regions and managed care settings most care may be provided by a primary care team.54 All elements of the treatment plan cannot easily be addressed in a 15-minute office visit.55 - 56

Interactions that could result from concurrent adherence to all 5 CPGs (Table 4) include between a medication and a disease other than the target disease, between medications for different diseases, and between food and medications. Recommendations may also contradict one another. If the hypothetical osteoporotic, diabetic patient has peripheral neuropathy, the osteoporosis CPG recommends that she perform weight-bearing exercise, while the diabetes CPG cautions that some patients with advanced peripheral neuropathy should avoid weight-bearing exercise.

Table Grahic Jump LocationTable 4. Potential Treatment Interactions for a Hypothetical 79-Year-Old Woman with 5 Chronic Diseases

The patient’s medications would cost her $406.45 per month, or $4877 annually, assuming no prescription drug coverage (Table 5).52 Beginning in 2006, she would be able to purchase drug insurance under Medicare’s new Part D. If her income is above 150% of the federal poverty level (as it was for more than 60% of Medicare beneficiaries), she would pay an out-of-pocket premium of about $420, a $250 deductible, $500 of the next $2000, and 100% of the next $3000 (in her case, $2627). Thus, assuming current prices, with drug insurance, she would pay $3797 per year plus $373 for any future drug expenses for that year.57 The nonpharmacological interventions recommended involve additional expenses to patients, informal caregivers, Medicare, and other insurers.

Table Grahic Jump LocationTable 5. Cost of Medications to Patient*

This review provides evidence that CPGs do not provide an appropriate, evidence-based foundation for assessing quality of care in older adults with several chronic diseases. Although CPGs provide detailed guidance for managing single diseases, they fail to address the needs of older patients with complex comorbid illness. While some recommend interventions for specific pairs of diseases, CPGs rarely address treatment of patients with 3 or more chronic diseases—a group that includes half of the population older than 65 years.1 When we developed a treatment plan for a hypothetical patient using a conservative regimen created in accordance with CPGs, she was treated with multiple medications with high complexity, with the attendant risks of medication errors, adverse drug events, drug interactions, and hospitalization.4 ,58 - 60 The recommended regimens may present the patient with an unsustainable treatment burden, making independent self-management and adherence difficult.12 - 13 ,50 - 51 ,61 - 63

It is evident that CPGs, designed largely by specialty-dominated committees for managing single diseases, provide clinicians little guidance about caring for older patients with multiple chronic diseases. The use of single-disease CPGs as a basis for evaluating the quality of care and determining physician reimbursement through pay-for-performance measures could create inappropriate incentives in the care of older adults with multiple diseases.7 - 8

Payment to physicians in pay-for-performance programs is frequently based in part on their meeting quality-of-care standards created for single diseases according to a calculated rate of adherence to the standard within an eligible population.64 - 65 While these standards are not explicitly taken directly from CPGs, they are often derived from CPG recommendations. The Medicare Payment Advisory Commission recommended that Medicare adopt pay for performance for physician reimbursement.66 The Commission suggests a trial period during which physician reimbursement would be based on adoption of information technology measures, with feedback to individual physicians on performance on condition-specific claims-based process measures, followed by a “date certain” when condition-specific claims-based process measures would be included in physician pay for performance.66 Medicare initiatives and demonstrations incorporating pay for performance are becoming increasingly common.67

The CPGs are not designed for use in quality assessment, so transforming CPGs into performance standards and applying these standards to the care of older patients with complex comorbidity is problematic.8 These guidelines are recommendations based on varying levels of evidence and assume application of clinical judgment and patient preferences, both of which would be difficult to measure in a pay-for-performance scheme.15 ,17 - 18 ,30 ,33 ,38 - 41 Quality indicators must balance scientific evidence against what is practical and feasible to measure rather than what is a higher priority (eg, assessing yearly screening for retinopathy rather than aggressive blood pressure control in diabetics).56 Many indicators have upper age limits (eg, <75 years), thereby excluding a large percentage of Medicare beneficiaries and removing incentives to focus on these patients. Most indicators do not address burden of comorbid disease. While it would be feasible to omit “sick” patients from computations for reporting purposes, this would remove the pay-for-performance incentive for improving care for such patients.68 - 69

Assessing physicians on the basis of the care they provide for individual diseases obscures the complexity of treating real, and particularly older, patients with several chronic diseases. Patients in whom single-disease standards cannot or should not be attained, but who are eligible to be in the population base for a given standard may become “medical hot potatoes” if their physician receives lower pay-for-performance scores as a result.70 Current pay-for-performance initiatives can create financial incentives for physicians to focus on certain diseases and younger or healthier Medicare patients. These initiatives perpetuate the single-disease approach to care and fail to reward physicians for addressing the complex issues that confront patients with several chronic diseases. Standards that define quality of patient care regardless of a patient’s health status and preferences by placing emphasis on attaining high rates of adherence to CPGs rather than the more difficult task of weighing burden, risks, and benefits of complex therapies in shared decision making could ultimately undermine quality of care.68 ,71 If quality assessment focuses on younger or healthier patients, there is additional risk that these problems will go unnoticed.

Quality-of-care standards are needed for older individuals with several chronic diseases. Critical but currently unreimbursed processes of high-quality care for this population include care coordination, patient and caregiver education, empowerment for self-management, and shared decision making that incorporates individual preferences and circumstances. These processes should be incorporated into quality-of-care standards in pay-for-performance initiatives.49 ,68 ,72

Standards for developing CPGs note the importance of identifying the target population and incorporating quality of life and patient preferences to improve adherence of both physicians and patients.6 ,43 ,47 ,73 - 74 The CPGs we examined do not give explicit guidance on how to do this. Providing optimal care, as defined by several CPGs, for the patient with comorbid conditions quickly becomes difficult in terms of cost, medication complexity, and the magnitude of the task. Practicing physicians adjust CPG recommendations for individual patients, judging risks and reacting to patient preferences, but best practices for making these adjustments remain undefined.61 ,75 Coexisting diseases may increase or decrease the benefit of an intervention for a target disease.49 Future CPGs that address how to incorporate quality of life and the risks, benefits, and burden of recommended treatments for older adults with comorbidity would be more useful than currently existing CPGs, but training physicians to use CPGs while incorporating these principles is also critical.8 The guidelines could address common comorbidities, but more obscure comorbidities would be difficult to address. Clinical practice guidelines addressing several combinations of comorbid diseases would be more unwieldy and based on scant evidence. To provide evidence for optimal care of older patients with several chronic diseases, future trials should include older patients with representative comorbidities and should investigate shared decision making among those patients, their caregivers, and physicians.76 - 77

A few noteworthy efforts address these issues. A recent CPG for older adults with diabetes discusses the quality of evidence and gives practical advice about geriatric syndromes and prioritizing care for older persons with several chronic diseases.78 The Assessing Care of Vulnerable Elders Project proposes quality-of-care markers for chronic diseases and geriatric syndromes in frail older adults and recognizes that goals of care and preferences affect definitions of quality.79 Patient-reported measures of quality of care address access, continuity, coordination, communication, and empowerment for patient and family involvement.80 Some pay-for-performance standards include provision of educational resources and measures of patient experience.64 ,81

Our analysis has several limitations. First, we did not attempt to examine all CPGs. Instead, we selected CPGs generated by prominent professional organizations and published in widely read journals, which are likely to have a high impact on clinical practice. There may be less well-known CPGs that provide better guidance for the care of older adults with multiple chronic diseases. Second, in designing the treatment regimen for our hypothetical patient, we used our clinical judgment when the CPGs were not explicit in their recommendations—a task clinicians face daily. While other clinicians might arrive at slightly different regimens, we believe they would have similar complexity.

For the present, widely used CPGs offer little guidance to clinicians caring for older patients with several chronic diseases. The use of CPGs as the basis for pay-for-performance initiatives that focus on specific treatments for single diseases may be particularly unsuited to the care of older individuals with multiple chronic diseases. Quality improvement and pay-for-performance initiatives within the Medicare system should be designed to improve the quality of care for older patients with multiple chronic diseases; a critical first step is research to define measures of the quality of care needed by this population, including care coordination, education, empowerment for self-management, and shared decision making based on the individual circumstances of older patients.

Corresponding Author: Cynthia M. Boyd, MD, MPH, Center on Aging and Health, 2024 E Monument St, Suite 2-700, Baltimore, MD 21205 (cyboyd@jhmi.edu).

Author Contributions: Dr Boyd had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Boyd, Darer, Boult, Boult, Wu.

Acquisition of data: Boyd, Darer.

Analysis and interpretation of data: Boyd, Darer, Boult, Fried, Boult, Wu.

Drafting of the manuscript: Boyd, Darer, Boult, Wu.

Critical revision of the manuscript for important intellectual content: Boult, Fried, Boult, Wu.

Statistical analysis: Boyd.

Obtained funding: Boyd.

Administrative, technical, or material support: Wu.

Study supervision: Fried, Wu.

Financial Disclosures: None reported.

Funding/Support: Dr Boyd was a Hartford/AFAR Academic Geriatrics Fellow and postdoctoral fellow under training grant NIH-T32-AG00120 during the conduct of the study. Dr Boyd and Dr Fried are supported by the National Institutes of Health, National Institute on Aging, Claude D. Pepper Older Americans Independence Centers grant P30 AG021334. Dr Darer was supported by 5-T32-PE10025 from the Health Resources and Services Administration. Dr Chad Boult’s time was supported by the Roger C. Lipitz Center for Integrated Health Care. Dr Wu’s time and the data analysis were supported by Partnership for Solutions.

Role of the Sponsor: The funding sources had no role in the design and conduct of the study, collection, management, analysis or interpretation of the data, the preparation of the manuscript or the decision to publish this study.

Acknowledgment: We are grateful to Caroline Blaum, MD, MS, (Department of Internal Medicine, University of Michigan Geriatrics Center and Ann Arbor Veterans Affairs Healthcare System Geriatric Rehabilitation, Education, and Clinical Center, Ann Arbor) for her thoughtful comments on the implications of this work for pay-for-performance initiatives.

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PubMed
 Global Initiative for Chronic Obstructive Lung Disease. Available at: http://www.goldcopd.com/. Accessed December 1, 2004
 The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC VII). Available at: http://www.nhlbi.nih.gov/guidelines/hypertension/jnc7full.htm. Accessed June 18, 2005
National Osteoporosis Foundation.  Physician's guide to prevevention and treatment of osteoporosis. Available at: http://www.nof.org/physguide/index.htm. Accessed February 28, 2005
 Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Full Report. Available at: http://www.nhlbi.nih.gov/guidelines/cholesterol/atp3_rpt.htm. Accessed December 1, 2004
Grundy SM, Cleeman JI, Merz CN.  et al.  Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines.  Circulation. 2004;110227-239
PubMed
Shiffman RN, Shekelle P, Overhage JM, Slutsky J, Grimshaw J, Deshpande AM. Standardized reporting of clinical practice guidelines: a proposal from the Conference on Guideline Standardization.  Ann Intern Med. 2003;139493-498
PubMed
Greer AL, Goodwin JS, Freeman JL, Wu ZH. Bringing the patient back in: guidelines, practice variations, and the social context of medical practice.  Int J Technol Assess Health Care. 2002;18747-761
PubMed
Cluzeau FA, Littlejohns P, Grimshaw JM, Feder G, Moran SE. Development and application of a generic methodology to assess the quality of clinical guidelines.  Int J Qual Health Care. 1999;1121-28
PubMed
 Appraisal of Guidelines for Research and Evaluation (AGREE) Instrument. Available at: http://www.agreecollaboration.org/. Accessed June 18, 2005
Shaneyfelt TM, Mayo-Smith MF, Rothwangl J. Are guidelines following guidelines? the methodological quality of clinical practice guidelines in the peer-reviewed medical literature.  JAMA. 1999;2811900-1905
PubMed
Graham ID, Calder LA, Hebert PC, Carter AO, Tetroe JM. A comparison of clinical practice guideline appraisal instruments.  Int J Technol Assess Health Care. 2000;161024-1038
PubMed
Walter LC, Covinsky KE. Cancer screening in elderly patients: a framework for individualized decision making.  JAMA. 2001;2852750-2756
PubMed
Townsend A, Hunt K, Wyke S. Managing multiple morbidity in mid-life: a qualitative study of attitudes to drug use.  BMJ. 2003;327837
PubMed
Kroenke K, Pinholt EM. Reducing polypharmacy in the elderly: a controlled trial of physician feedback.  J Am Geriatr Soc. 1990;3831-36
PubMed
 Individual drug prices. Available at: http://www.drugstore.com. Accessed October 8, 2004
Partnership for Solutions.  Medicare: costs and prevalence of chronic conditions. Available at: http://www.partnershipforsolutions.com/DMS/files/Medicare_fact_sheet.pdf. Accessed June 7, 2005
Sperl-Hillen J, O'Connor PJ, Carlson RR.  et al.  Improving diabetes care in a large health care system: an enhanced primary care approach.  Jt Comm J Qual Improv. 2000;26615-622
PubMed
Yarnall KS, Pollak KI, Ostbye T, Krause KM, Michener JL. Primary care: is there enough time for prevention?  Am J Public Health. 2003;93635-641
PubMed
Hofer TP, Zemencuk JK, Hayward RA. When there is too much to do: how practicing physicians prioritize among recommended interventions.  J Gen Intern Med. 2004;19646-653
PubMed
Goulding M. Trends in Prescribed Medicine Use and Spending by Older Americans, 1992-2001. Hyattsville, Md: National Center for Health Statistics; 2005
Juurlink DN, Mamdani M, Kopp A, Laupacis A, Redelmeier DA. Drug-drug interactions among elderly patients hospitalized for drug toxicity.  JAMA. 2003;2891652-1658
PubMed
Flaherty JH, Perry HM III, Lynchard GS, Morley JE. Polypharmacy and hospitalization among older home care patients.  J Gerontol A Biol Sci Med Sci. 2000;55M554-M559
PubMed
Gurwitz JH, Field TS, Harrold LR.  et al.  Incidence and preventability of adverse drug events among older persons in the ambulatory setting.  JAMA. 2003;2891107-1116
PubMed
Gurwitz JH. Polypharmacy: a new paradigm for quality drug therapy in the elderly?  Arch Intern Med. 2004;1641957-1959
PubMed
Mojtabai R, Olfson M. Medication costs, adherence, and health outcomes among Medicare beneficiaries.  Health Aff (Millwood). 2003;22220-229
PubMed
Fried TR, Bradley EH, Towle VR. Assessment of patient preferences: integrating treatments and outcomes.  J Gerontol B Psychol Sci Soc Sci. 2002;57S348-S354
PubMed
 Pay for performance measurement set. Available at: http://www.iha.org/p4pcms.htm. Accessed March 14, 2005
NCQA.  The Health Plan Employer Data and Information Set (HEDIS). Available at: http://www.ncqa.org/Programs/HEDIS/. Accessed April 6, 2005
MedPAC.  Report to the Congress: Medicare payment policy. Available at: http://www.medpac.gov/publications/congressional_reports/Mar05_Ch04.pdf. Accessed June 18, 2005
 Medicare begins performance-based payments for physician groups. Available at: http://www.cms.hhs.gov/researchers/demos/PressRelease1_31_2005.pdf. Accessed March 14, 2005
Walter LC, Davidowitz NP, Heineken PA, Covinsky KE. Pitfalls of converting practice guidelines into quality measures: lessons learned from a VA performance measure.  JAMA. 2004;2912466-2470
PubMed
American College of Physicians Web site.  Market forces now pushing pay-for-performance. Available at: http://www.acponline.org/journals/news/may05/pm.htm. Accessibility verified July 11, 2005
Hofer TP, Hayward RA, Greenfield S, Wagner EH, Kaplan SH, Manning WG. The unreliability of individual physician “report cards” for assessing the costs and quality of care of a chronic disease.  JAMA. 1999;2812098-2105
PubMed
 Outcomes-based compensation: pay-for-performance design principles. Paper presented at: Fourth Annual Disease Management Outcomes Summit; November 11-14, 2004; Rancho Mirage, Calif
Wagner EH, Austin BT, Von Korff M. Organizing care for patients with chronic illness.  Milbank Q. 1996;74511-544
PubMed
Findley LJ, Baker MG. Treating neurodegenerative diseases.  BMJ. 2002;3241466-1467
PubMed
Protheroe J, Fahey T, Montgomery AA, Peters TJ. The impact of patients' preferences on the treatment of atrial fibrillation: observational study of patient based decision analysis.  BMJ. 2000;3201380-1384
PubMed
Glynn RJ, Monane M, Gurwitz JH, Choodnovskiy I, Avorn J. Aging, comorbidity, and reduced rates of drug treatment for diabetes mellitus.  J Clin Epidemiol. 1999;52781-790
PubMed
Elwyn G, Edwards A, Britten N. What information do patients need about medicines? “doing prescribing”: how doctors can be more effective.  BMJ. 2003;327864-867
PubMed
Masoudi FA, Havranek EP, Wolfe P.  et al.  Most hospitalized older persons do not meet the enrollment criteria for clinical trials in heart failure.  Am Heart J. 2003;146250-257
PubMed
Brown AF, Mangione CM, Saliba D, Sarkisian CA. Guidelines for improving the care of the older person with diabetes mellitus.  J Am Geriatr Soc. 2003;51(5 suppl)  S265-S280
PubMed
Wenger NS, Solomon DH, Roth CP.  et al.  The quality of medical care provided to vulnerable community-dwelling older patients.  Ann Intern Med. 2003;139740-747
PubMed
Safran DG, Kosinski M, Tarlov AR.  et al.  The Primary Care Assessment Survey: tests of data quality and measurement performance.  Med Care. 1998;36728-739
PubMed
 Summary of physician practice connections modules. Available at: http://www.ncqa.org/ppc. Accessed April 13, 2005

First Page Preview

First page PDF preview

Figures

Tables

Table Grahic Jump LocationTable 1. Relevance of Clinical Practice Guidelines for the Treatment of Older Patients With Diabetes Mellitus, Hypertension, Osteoarthritis, Osteoporosis, and Chronic Obstructive Pulmonary Disease (COPD)
Table Grahic Jump LocationTable 2. Relevance of Clinical Practice Guidelines for the Treatment of Older Patients With Atrial Fibrillation, Chronic Heart Failure, Angina, and Hypercholesterolemia
Table Grahic Jump LocationTable 3. Treatment Regimen Based on Clinical Practice Guidelines for a Hypothetical 79-Year-Old Woman With Hypertension, Diabetes Mellitus, Osteoporosis, Osteoarthritis, and COPD*
Table Grahic Jump LocationTable 4. Potential Treatment Interactions for a Hypothetical 79-Year-Old Woman with 5 Chronic Diseases
Table Grahic Jump LocationTable 5. Cost of Medications to Patient*

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

Anderson G, Horvath J. Chronic Conditions: Making the Case for Ongoing Care. Princeton, NJ: Robert Wood Johnson Foundation’s Partnership for Solutions; 2002
Gijsen R, Hoeymans N, Schellevis FG, Ruwaard D, Satariano WA, van den Bos GA. Causes and consequences of comorbidity: a review.  J Clin Epidemiol. 2001;54661-674
PubMed
Hoffman C, Rice D, Sung HY. Persons with chronic conditions: their prevalence and costs.  JAMA. 1996;2761473-1479
PubMed
Field TS, Gurwitz JH, Harrold LR.  et al.  Risk factors for adverse drug events among older adults in the ambulatory setting.  J Am Geriatr Soc. 2004;521349-1354
PubMed
 Crossing the Quality Chasm: A New Health System for the 21st Century . Washington, DC: Institute of Medicine; 2001
Hayward RS, Wilson MC, Tunis SR, Bass EB, Guyatt G.Evidence-Based Medicine Working Group.  Users' guides to the medical literature, VIII: how to use clinical practice guidelines, A: are the recommendations valid?  JAMA. 1995;274570-574
PubMed
 Standard outcome metrics and evaluation methodology for disease management programs. Paper presented at: Second Annual Disease Management Outcomes Summit; November 2002; Palm Desert, Calif
Garber AM. Evidence-based guidelines as a foundation for performance incentives.  Health Aff (Millwood). 2005;24174-179
PubMed
Tinetti ME, Fried T. The end of the disease era.  Am J Med. 2004;116179-185
PubMed
Tinetti ME, Bogardus ST Jr, Agostini JV. Potential pitfalls of disease-specific guidelines for patients with multiple conditions.  N Engl J Med. 2004;3512870-2874
PubMed
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PubMed
Gray SL, Mahoney JE, Blough DK. Medication adherence in elderly patients receiving home health services following hospital discharge.  Ann Pharmacother. 2001;35539-545
PubMed
Schmader KE, Hanlon JT, Fillenbaum GG, Huber M, Pieper C, Horner R. Medication use patterns among demented, cognitively impaired and cognitively intact community-dwelling elderly people.  Age Ageing. 1998;27493-501
PubMed
 National Guideline Clearinghouse Web site. Available at: http://www.ahrq.gov/clinic/ngcfact.htm. Accessed October 21, 2002
Fuster V, Ryden LE, Asinger RW.  et al. American College of Cardiology, American Heart Association, and European Society of Cardiology Board.  ACC/AHA/ESC guidelines for the management of patients with atrial fibrillation.  J Am Coll Cardiol. 2001;381231-1266
PubMed
Snow V, Barry P, Fihn SD.  et al.  Primary care management of chronic stable angina and asymptomatic suspected or known coronary artery disease: a clinical practice guideline from the American College of Physicians.  Ann Intern Med. 2004;141562-567
PubMed
Gibbons RJ, Abrams J, Chatterjee K.  et al.  ACC/AHA 2002 guideline update for the management of patients with chronic stable angina. Available at: http://www.acc.org/clinical/guidelines/stable/stable.pdf. Accessed April 18, 2005
Hunt SA, Baker DW, Chin MH.  et al.  ACC/AHA guidelines for the evaluation and management of chronic heart failure in the adult. Available at: http://www.acc.org/clinical/guidelines/failure/hf_index.htm. Accessed April 18, 2005
Arauz-Pacheco C, Parrott MA, Raskin P. Hypertension management in adults with diabetes.  Diabetes Care. 2004;27(suppl 1)  S65-S67
PubMed
Colwell JA. Aspirin therapy in diabetes.  Diabetes Care. 2004;27(suppl 1)  S72-S73
PubMed
Fong DS, Aiello L, Gardner TW.  et al.  Retinopathy in diabetes.  Diabetes Care. 2004;27(suppl 1)  S84-S87
PubMed
Franz MJ, Bantle JP, Beebe CA.  et al.  Nutrition principles and recommendations in diabetes.  Diabetes Care. 2004;27(suppl 1)  S36-S46
PubMed
Goldstein DE, Little RR, Lorenz RA, Malone JI, Nathan DM, Peterson CM. Tests of glycemia in diabetes.  Diabetes Care. 2004;27(suppl 1)  S91-S93
PubMed
Haffner SM. Dyslipidemia management in adults with diabetes.  Diabetes Care. 2004;27(suppl 1)  S68-S71
PubMed
Haire-Joshu D, Glasgow RE, Tibbs TL. Smoking and diabetes.  Diabetes Care. 2004;27(suppl 1)  S74-S75
PubMed
Mayfield JA, Reiber GE, Sanders LJ, Janisse D, Pogach LM. Preventive foot care in diabetes.  Diabetes Care. 2004;27(suppl 1)  S63-S64
PubMed
Molitch ME, DeFronzo RA, Franz MJ.  et al.  Nephropathy in diabetes.  Diabetes Care. 2004;27(suppl 1)  S79-S83
PubMed
Zinman B, Ruderman N, Campaigne BN, Devlin JT, Schneider SH. Physical activity/exercise and diabetes.  Diabetes Care. 2004;27(suppl 1)  S58-S62
PubMed
Expert Committee on the Diagnosis and Classification of Diabetes Mellitus.  Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus.  Diabetes Care. 2000;23(suppl 1)  S4-S19
PubMed
 Standards of medical care in diabetes.  Diabetes Care. 2005;28(suppl 1)  S4-S36
PubMed
 American Diabetes Association Clinical Practice Recommendations 2001.  Diabetes Care. 2001;24(suppl 1)  S1-S133
PubMed
 Evidence-based nutrition principles and recommendations for the treatment and prevention of diabetes and related complications.  Diabetes Care. 2002;25202-212
PubMed
American College of Rheumatology Subcommittee on Osteoarthritis Guidelines.  Recommendations for the medical management of osteoarthritis of the hip and knee: 2000 update.  Arthritis Rheum. 2000;431905-1915
PubMed
Schnitzer TJ. Update of ACR guidelines for osteoarthritis: role of the coxibs.  J Pain Symptom Manage. 2002;23(4 suppl)  S24-S30
PubMed
Hochberg MC, Altman RD, Brandt KD.  et al. American College of Rheumatology.  Guidelines for the medical management of osteoarthritis, part I: osteoarthritis of the hip.  Arthritis Rheum. 1995;381535-1540
PubMed
Hochberg MC, Altman RD, Brandt KD.  et al. American College of Rheumatology.  Guidelines for the medical management of osteoarthritis, part II: osteoarthritis of the knee.  Arthritis Rheum. 1995;381541-1546
PubMed
Pauwels RA, Buist AS, Ma P, Jenkins CR, Hurd SS. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease.  Respir Care. 2001;46798-825
PubMed
 Global Initiative for Chronic Obstructive Lung Disease. Available at: http://www.goldcopd.com/. Accessed December 1, 2004
 The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC VII). Available at: http://www.nhlbi.nih.gov/guidelines/hypertension/jnc7full.htm. Accessed June 18, 2005
National Osteoporosis Foundation.  Physician's guide to prevevention and treatment of osteoporosis. Available at: http://www.nof.org/physguide/index.htm. Accessed February 28, 2005
 Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Full Report. Available at: http://www.nhlbi.nih.gov/guidelines/cholesterol/atp3_rpt.htm. Accessed December 1, 2004
Grundy SM, Cleeman JI, Merz CN.  et al.  Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines.  Circulation. 2004;110227-239
PubMed
Shiffman RN, Shekelle P, Overhage JM, Slutsky J, Grimshaw J, Deshpande AM. Standardized reporting of clinical practice guidelines: a proposal from the Conference on Guideline Standardization.  Ann Intern Med. 2003;139493-498
PubMed
Greer AL, Goodwin JS, Freeman JL, Wu ZH. Bringing the patient back in: guidelines, practice variations, and the social context of medical practice.  Int J Technol Assess Health Care. 2002;18747-761
PubMed
Cluzeau FA, Littlejohns P, Grimshaw JM, Feder G, Moran SE. Development and application of a generic methodology to assess the quality of clinical guidelines.  Int J Qual Health Care. 1999;1121-28
PubMed
 Appraisal of Guidelines for Research and Evaluation (AGREE) Instrument. Available at: http://www.agreecollaboration.org/. Accessed June 18, 2005
Shaneyfelt TM, Mayo-Smith MF, Rothwangl J. Are guidelines following guidelines? the methodological quality of clinical practice guidelines in the peer-reviewed medical literature.  JAMA. 1999;2811900-1905
PubMed
Graham ID, Calder LA, Hebert PC, Carter AO, Tetroe JM. A comparison of clinical practice guideline appraisal instruments.  Int J Technol Assess Health Care. 2000;161024-1038
PubMed
Walter LC, Covinsky KE. Cancer screening in elderly patients: a framework for individualized decision making.  JAMA. 2001;2852750-2756
PubMed
Townsend A, Hunt K, Wyke S. Managing multiple morbidity in mid-life: a qualitative study of attitudes to drug use.  BMJ. 2003;327837
PubMed
Kroenke K, Pinholt EM. Reducing polypharmacy in the elderly: a controlled trial of physician feedback.  J Am Geriatr Soc. 1990;3831-36
PubMed
 Individual drug prices. Available at: http://www.drugstore.com. Accessed October 8, 2004
Partnership for Solutions.  Medicare: costs and prevalence of chronic conditions. Available at: http://www.partnershipforsolutions.com/DMS/files/Medicare_fact_sheet.pdf. Accessed June 7, 2005
Sperl-Hillen J, O'Connor PJ, Carlson RR.  et al.  Improving diabetes care in a large health care system: an enhanced primary care approach.  Jt Comm J Qual Improv. 2000;26615-622
PubMed
Yarnall KS, Pollak KI, Ostbye T, Krause KM, Michener JL. Primary care: is there enough time for prevention?  Am J Public Health. 2003;93635-641
PubMed
Hofer TP, Zemencuk JK, Hayward RA. When there is too much to do: how practicing physicians prioritize among recommended interventions.  J Gen Intern Med. 2004;19646-653
PubMed
Goulding M. Trends in Prescribed Medicine Use and Spending by Older Americans, 1992-2001. Hyattsville, Md: National Center for Health Statistics; 2005
Juurlink DN, Mamdani M, Kopp A, Laupacis A, Redelmeier DA. Drug-drug interactions among elderly patients hospitalized for drug toxicity.  JAMA. 2003;2891652-1658
PubMed
Flaherty JH, Perry HM III, Lynchard GS, Morley JE. Polypharmacy and hospitalization among older home care patients.  J Gerontol A Biol Sci Med Sci. 2000;55M554-M559
PubMed
Gurwitz JH, Field TS, Harrold LR.  et al.  Incidence and preventability of adverse drug events among older persons in the ambulatory setting.  JAMA. 2003;2891107-1116
PubMed
Gurwitz JH. Polypharmacy: a new paradigm for quality drug therapy in the elderly?  Arch Intern Med. 2004;1641957-1959
PubMed
Mojtabai R, Olfson M. Medication costs, adherence, and health outcomes among Medicare beneficiaries.  Health Aff (Millwood). 2003;22220-229
PubMed
Fried TR, Bradley EH, Towle VR. Assessment of patient preferences: integrating treatments and outcomes.  J Gerontol B Psychol Sci Soc Sci. 2002;57S348-S354
PubMed
 Pay for performance measurement set. Available at: http://www.iha.org/p4pcms.htm. Accessed March 14, 2005
NCQA.  The Health Plan Employer Data and Information Set (HEDIS). Available at: http://www.ncqa.org/Programs/HEDIS/. Accessed April 6, 2005
MedPAC.  Report to the Congress: Medicare payment policy. Available at: http://www.medpac.gov/publications/congressional_reports/Mar05_Ch04.pdf. Accessed June 18, 2005
 Medicare begins performance-based payments for physician groups. Available at: http://www.cms.hhs.gov/researchers/demos/PressRelease1_31_2005.pdf. Accessed March 14, 2005
Walter LC, Davidowitz NP, Heineken PA, Covinsky KE. Pitfalls of converting practice guidelines into quality measures: lessons learned from a VA performance measure.  JAMA. 2004;2912466-2470
PubMed
American College of Physicians Web site.  Market forces now pushing pay-for-performance. Available at: http://www.acponline.org/journals/news/may05/pm.htm. Accessibility verified July 11, 2005
Hofer TP, Hayward RA, Greenfield S, Wagner EH, Kaplan SH, Manning WG. The unreliability of individual physician “report cards” for assessing the costs and quality of care of a chronic disease.  JAMA. 1999;2812098-2105
PubMed
 Outcomes-based compensation: pay-for-performance design principles. Paper presented at: Fourth Annual Disease Management Outcomes Summit; November 11-14, 2004; Rancho Mirage, Calif
Wagner EH, Austin BT, Von Korff M. Organizing care for patients with chronic illness.  Milbank Q. 1996;74511-544
PubMed
Findley LJ, Baker MG. Treating neurodegenerative diseases.  BMJ. 2002;3241466-1467
PubMed
Protheroe J, Fahey T, Montgomery AA, Peters TJ. The impact of patients' preferences on the treatment of atrial fibrillation: observational study of patient based decision analysis.  BMJ. 2000;3201380-1384
PubMed
Glynn RJ, Monane M, Gurwitz JH, Choodnovskiy I, Avorn J. Aging, comorbidity, and reduced rates of drug treatment for diabetes mellitus.  J Clin Epidemiol. 1999;52781-790
PubMed
Elwyn G, Edwards A, Britten N. What information do patients need about medicines? “doing prescribing”: how doctors can be more effective.  BMJ. 2003;327864-867
PubMed
Masoudi FA, Havranek EP, Wolfe P.  et al.  Most hospitalized older persons do not meet the enrollment criteria for clinical trials in heart failure.  Am Heart J. 2003;146250-257
PubMed
Brown AF, Mangione CM, Saliba D, Sarkisian CA. Guidelines for improving the care of the older person with diabetes mellitus.  J Am Geriatr Soc. 2003;51(5 suppl)  S265-S280
PubMed
Wenger NS, Solomon DH, Roth CP.  et al.  The quality of medical care provided to vulnerable community-dwelling older patients.  Ann Intern Med. 2003;139740-747
PubMed
Safran DG, Kosinski M, Tarlov AR.  et al.  The Primary Care Assessment Survey: tests of data quality and measurement performance.  Med Care. 1998;36728-739
PubMed
 Summary of physician practice connections modules. Available at: http://www.ncqa.org/ppc. Accessed April 13, 2005
CME Course for:


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To understand the clinical management of acute heart failure syndromes.
Accreditation Information The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
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