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Focus on Cardiovascular Disease Improving Hypertension Control Selecting the Activity Approximately 50 million Americans suffer from hypertension, a major risk factor for myocardial infarction, stroke, and renal disease.[14] In 1997, the health plan found that hypertension was the most common ambulatory diagnosis for men 40 to 64 years of age and the second most common for men >65 years of age. In women, it was the second most common ambulatory diagnosis for those 40 to 64 years of age and the most common for those >65 years of age. Finding hypertension to be a common diagnosis, the health plan began its efforts to improve hypertension management with a review of the literature and a physician survey in 1997. This research revealed that there was disagreement among physicians as to the definition of hypertension and confusion over which medications to prescribe. In response, the health plan developed and disseminated guidelines, solicited the support and endorsement of clinicians for a hypertension project, and provided feedback to practitioners regarding their control rates. Unfortunately, despite there interventions, the health plan recognized that progress from 1997 to 1999 was minimal and began to investigate other options to improve the quality of care for hypertensive patients.
Setting the Parameters Using HEDIS® methodology, the health plan targeted the members who met the following criteria:
The health plan used the HEDIS measure for blood pressure (BP) control as its performance measure. The representative BP was the reading obtained at the most recent visit to the doctor’s office of clinic, during which a BP reading was noted during the measurement year, but after the diagnosis of hypertension was made. Outpatient visits solely for the purpose of having a diagnostic test or surgical procedure performed, or to an urgent care center, were excluded. The definition of BP control differed between the baseline and remeasurement periods due to a change in HEDIS specifications. During the baseline period, BP was considered to be in control if it was <140/90 mm Hg. However, during the first remeasurement period, the definition of BP control changed to a reading of <140/90 mm Hg. Therefore, BP data obtained during the first remeasurement period (2000) was measured twice (once for each specification) to allow for year-to-year comparability. Baseline performance, measured between January 1999 and December 1999 on 411 patients, showed a rate of 37.23% of patients achieving BP control (Table 6). The initial goal had been set at 42% based on earlier measurements taken in 1997 and 1998. Because the goal had not been reached, it remained at 42% for the first remeasurement period. The plan identified several barriers to the successful diagnosis, treatment, and control of hypertension, and also investigated barriers to the successful implementation of disease management programs:
Research revealed that financial incentives were an effective way to target improvement for identified goals. The health plan also hired an outside health outcomes vendor (for a single project) to conduct an intense chart audit, collect and analyze data, and help develop appropriate interventions.
Implementing the Initiative Because the health plan had found that pilot studies were an effective way to develop interventions and fine-tune its programs, the renewed effort to improve hypertension control began with the initiation of a two-clinic pilot program in late 1999. Office staff had primary responsibility for the majority of the program components, and physicians were consulted only as needed for changes to treatment plans. Program components included:
In January 2000, the health plan implemented a reimbursement plan that attached physician management bonus fees ($0.10 per member per month for all members in the practice or clinic) to the quality measure for hypertension control (BP controlled to a level of <140/90 mm Hg in 40% or more of hypertensive patients sampled). Physicians received annual, unblinded data on the performance of the health plan overall, regions, care groups (see Quality Lesson: Peer Pressure), clinics, and individual physicians, as well as “helpful hint” sheets (quick reference tools on how to achieve the quality indicator). Physicians received a quarterly list of their hypertensive patients to improve familiarity with these patients and to facilitate internal chart audits and patient-outreach activities.
Evaluation One Hypertension control rates were measured two ways because of the change in HEDIS® specifications during the remeasurement period (January 2000 to December 2000). The first rate (49.14%) used a BP reading of <140/90 mm Hg as the criteria for hypertension control, while the second rate (57.18%) used a reading of <140/90 mm Hg (Table 7). The difference between the two rates was significant, which prompted a frequency analysis to investigate the cause. This analysis revealed that significant rounding occurs when BP levels are recorded, thus identifying another area (the importance of accurate BP assessment and documentation) that needed to be incorporated into clinician education. Although pleased with the results - both rates exceeded the goal of 42% - the health plan analyzed failures proactively in an attempt to identify opportunities for interventions (Figure 1 on page 57.) Uncovering a high rate of uncontrolled systolic BP levels, this analysis underscored the need to focus clinician education on the importance of improving systolic control. The health plan then went on to perform a root cause barrier analysis on the data collected by the outside vendor who had been hired to audit charts and collect data, as well as an evaluation of information from the pilot program.
These barriers were also informally reviewed by actively practicing clinicians who concurred with the following barriers to improved hypertension control, which had been identified during this analysis:
To address these barriers, the following new interventions were rolled out in 2001:
These new interventions, in combination with the ongoing reimbursement plan and the quarterly patient lists, were expected to further improve hypertension control rates in 2001.
Evaluation Two They hypertension control rate from January 2001 to December 2001 - which used a reading of <140/90 mm Hg as the criterion for hypertension control - remained stable at 59.85% (Table 8). Despite its efforts, the health plan did not achieve its goal of 66%, which the plan had believed was reasonable and would produce a result that could achieve statistical significance. Although the BP control rates rose 22.6 percentage points from baseline to remeasurement 2, claims about improvements across the entire study interval cannot be made because of the change in HEDIS® measures during the study (Table 9).
Epilogue Subsequent to the final measurement, the health plan continued to assess barriers to improved hypertension control. It found that an important barrier to improvement was the decision to keep the reimbursement goals for hypertension control steady at 40% in both 2000 and 2001. Since nearly every care group achieved the 40% reimbursement goal in 2000 - and knew that the goal would remain at 40% - physicians and their staff had little incentive to improve their control rates. The health plan therefore raised the reimbursement goal to 65% in 2002. This rate was more in line with then-current rates and HEDIS® goals, and it was hoped this would positively impact rates by year-end 2002. The health plan reported that the QI initiative was “hugely successful” in 2002, producing a 70.9% hypertension control rate. This rate was nearly five percentage points above the goal of 66% and significantly higher than the 2001 rate (P=.0006). The health plan will continue its efforts as before with the following exceptions, scheduled for late 2003 or early 2004:
Conclusion These two profiles illustrate how the management of cardiovascular risk factors can be improved through integrated QI initiatives. The fact that the same plan conducted these activities over the same time period suggests that it recognized the multifactorial nature of CVD as early as 1997. It was also advanced in the implementation of a data warehouse in 2001, which is an excellent example of how electronic medical records can be used to improve the quality of cardiovascular care (see A Look to the Future, The Future of Cardiovascular Care, Electronic Medical Records). Just as this plan assumed a leadership role in improving the management of both dyslipidemia and hypertension, all health plans and clinicians should strive to identify and manage multiple risk factors. References [1] - Data on file, Pfizer Inc, New York, NY. [2] - National Diabetes Education Program. The link between diabetes and cardiovascular disease. Available at: www.ndep.nih.gov/control/CVD.htm Accessed June 6, 2003. [3] - Keevil JG, Stein JH, McBride PE. Cardiovascular disease prevention. Prim Care Clin Office Pract. 2002;29:667-696. [4] - Pearson TA, McBride PE, Miller NH, Smith Stephen Covey Jr. 27th Bethesda Conference: matching the intensity of risk factor management with the hazard for coronary disease events. Task Force 8. Organization of preventive cardiology service. J Am Coll Cardiol. 1996;27:1039-1047. [5] - American Heart Association. Heart Disease and Stroke Statistics - 2003 Update. Dallas, Tex: American Heart Association; 2002. [6] - World Health Organization. Cardiovascular death and disability can be reduced more than 50 percent [press release]. October 17, 2002. Available at: www.who.int/mediacentre/releases/pr83/en/print.html. Accessed June 19, 2003. . Accessed July 24, 2003. [7] - Gaede P, Vedel P, Larsen N, et al. Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes. N Engl J Med. 2003;348:383-393. [8] - Goldman L, Garber AM, Grover SA, Hlatky MA. 27th Bethesda Conference: matching the intensity of risk factor management with the hazard for coronary disease events. Task force 6. Cost effectiveness of assessment and management of risk factors. J Am Coll Cardiol. 1996;27:964-1047. [9] - Elliott WJ, Weir DR. Comparative cost-effectiveness of HMG-CoA reductase inhibitors in secondary prevention of acute myocardial infarction. Am J Health Syst Pharm. 1999;56:1726-1732. [10] - Grover SA, Coupal L, Zowell H, Dorais M. Cost-effectiveness of treating hyperlipidemia in the presence of diabetes: who should be treated? Circulation. 2000;102:722-727. [11] - Physician Consortium for Performance Improvement. Clinical performance measures: chronic stable coronary artery disease. American Medical Association. Available at: www.americanheart.org/downloadable/heart/1055798504173CADMiniSetR030158_final.pdf. Accessed August 23, 2003. [12] - Tipton ML, Fleming M. Stroke prevention in managed care: a five-dimensional health improvement model. In: Gorelick PB, After M, eds. The Prevention of Stroke. New York, NY: The Parthenon Publishing Group; 2002:123-130. [13] - National Cholesterol Education Program. Third Report of the Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Bethesda, MD: National Heart, Lung, and Blood Institute; 2002. NIH publication 02-5215. [14] - Chobanian AV, Bakris GL, Black HR, et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 Report. JAMA. 2003;289:2560-2572. Return to top | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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