Cost implications to health care payers of improving glucose management among adults with type 2 diabetes.

Objective. To assess the cost implications to payers of improving glucose management among adults with type 2 diabetes. Data Source/Study Setting. Medical-record data from the Community Quality Index (CQI) study (1996-2002), pharmaceutical claims from four Massachusetts health plans (2004-2006), Medicare Fee Schedule (2009), published literature. Study Design. Probability tree depicting glucose management over 1 year. Data Collection/Extraction Methods. We determined how frequently CQI study subjects received recommended care processes and attained Health Care Effectiveness Data and Information Set (HEDIS) treatment goals, estimated utilization of visits and medications associated with recommended care, assigned costs based on utilization, and then modeled how hospitalization rates, costs, and goal attainment would change if all recommended care was provided. Principal Findings. Relative to current care, improved glucose management would cost U.S.$327 (U.S.$192-711 in sensitivity analyses) more per person with diabetes annually, largely due to antihyperglycemic medications. Cost-effectiveness to payers, defined as incremental annual cost per patient newly attaining any one of three HEDIS goals, would be U.S.$1,128; including glycemic crises reduces this to U.S.$555-1,021. Conclusions. The cost of improving glucose management appears modest relative to diabetes-related health care expenditures. The incremental cost per patient newly attaining HEDIS goals enables payers to consider costs as well as outcomes that are linked to future profitability.

Cost implications of improving blood pressure management among U.S. adults.

OBJECTIVE: To examine the cost-effectiveness of improving blood pressure management from the payer perspective. DATA SOURCE/STUDY SETTING: Medical record data for 4,500 U.S. adults with hypertension from the Community Quality Index (CQI) study (1996-2002), pharmaceutical claims from four Massachusetts health plans (2004-2006), Medicare fee schedule (2009), and published literature. STUDY DESIGN: A probability tree depicted blood pressure management over 2 years. DATA COLLECTION/EXTRACTION METHODS: We determined how frequently CQI study subjects received recommended care processes and attained accepted treatment goals, estimated utilization of visits and medications associated with recommended care, assigned costs based on utilization, and then modeled how hospitalization rates, costs, and goal attainment would change if all recommended care was provided. PRINCIPAL FINDINGS: Relative to current care, improved care would cost payers U.S.$170 more per hypertensive person annually (2009 dollars). The incremental cost per person newly attaining treatment goals over 2 years would be U.S.$1,696 overall, U.S.$801 for moderate hypertension, and U.S.$850 for severe hypertension. Among people with severe hypertension, blood pressure would decline substantially but seldom reach goal; the incremental cost per person attaining a relaxed goal (≤ stage 1) would be U.S.$185. CONCLUSIONS: Under the Health Care Effectiveness Data and Information Set program, which monitors the attainment of blood pressure treatment goals, payers will find it slightly more cost-effective to improve care for moderate than severe hypertension. Having a secondary, relaxed goal would substantially increase payers' incentive to improve care for severe hypertension.

The relationship between multimorbidity and patients' ratings of communication.

BACKGROUND: The growing interest in pay-for-performance and other quality improvement programs has generated concerns about potential performance measurement penalties for providers who care for more complex patients, such as patients with more chronic conditions. Few data are available on how multimorbidity affects common performance metrics. OBJECTIVE: To examine the relationship between multimorbidity and patients' ratings of communication, a common performance metric. DESIGN: Cross-sectional study SETTING: Nationally representative sample of U.S. residents PARTICIPANTS: A total of 15,709 noninstitutionalized adults living in the United States participated in a telephone interview. MEASUREMENTS: We used 2 different measures of multimorbidity: 1) "individual conditions" approach disregards similarities/concordance among chronic conditions and 2) "condition-groups" approach considers similarities/concordance among conditions. We used a composite measure of patients' ratings of patient-physician communication. RESULTS: A higher number of individual conditions is associated with lower ratings of communication, although the magnitude of the relationship is small (adjusted average communication scores: 0 conditions, 12.20; 1-2 conditions, 12.06; 3+ conditions, 11.90; scale range 5 = worst, 15 = best). This relationship remains statistically significant when concordant relationships among conditions are considered (0 condition groups 12.19; 1-2 condition groups 12.03; 3+ condition groups 11.94). CONCLUSIONS: In our nationally representative sample, patients with more chronic conditions gave their doctors modestly lower patient-doctor communication scores than their healthier counterparts. Accounting for concordance among conditions does not widen the difference in communication scores. Concerns about performance measurement penalty related to patient complexity cannot be entirely addressed by adjusting for multimorbidity. Future studies should focus on other aspects of clinical complexity (e.g., severity, specific combinations of conditions).

The quality of ambulatory care delivered to children in the United States.

BACKGROUND: Little is known about the magnitude of deficits in the quality of care delivered to children, since comprehensive studies have been lacking. METHODS: We assessed the extent to which care processes recommended for pediatric outpatients are delivered. Quality indicators were developed with the use of the RAND-UCLA modified Delphi method. Parents of 1536 children who were randomly selected from 12 metropolitan areas provided written informed consent to obtain medical records from all providers who had seen the children during the 2-year period before the date of study recruitment. Trained nurses abstracted these medical records. Composite quality scores were calculated by dividing the number of times indicated care was documented as having been ordered or delivered by the number of times a care process was indicated. RESULTS: On average, according to data in the medical records, children in the study received 46.5% (95% confidence interval [CI], 44.5 to 48.4) of the indicated care. They received 67.6% (95% CI, 63.9 to 71.3) of the indicated care for acute medical problems, 53.4% (95% CI, 50.0 to 56.8) of the indicated care for chronic medical conditions, and 40.7% (95% CI, 38.1 to 43.4) of the indicated preventive care. Quality varied according to the clinical area, with the rate of adherence to indicated care ranging from 92.0% (95% CI, 89.9 to 94.1) for upper respiratory tract infections to 34.5% (95% CI, 31.0 to 37.9) for preventive services for adolescents. CONCLUSIONS: Deficits in the quality of care provided to children appear to be similar in magnitude to those previously reported for adults. Strategies to reduce these apparent deficits are needed.

Can a chronic care model collaborative reduce heart disease risk in patients with diabetes?

BACKGROUND: There is a need to identify effective practical interventions to decrease cardiovascular disease risk in patients with diabetes. OBJECTIVE: We examine the impact of participation in a collaborative implementing the chronic care model (CCM) on the reduction of cardiovascular disease risk in patients with diabetes. DESIGN: Controlled pre- and postintervention study. PATIENTS/PARTICIPANTS: Persons with diabetes receiving care at 13 health care organizations exposed to the CCM collaborative and controls receiving care in nonexposed sites. MEASUREMENTS AND MAIN RESULTS: Ten-year risk of cardiovascular disease; determined using a modified United Kingdom Prospective Diabetes Study risk engine score. A total number of 613 patients from CCM intervention sites and 557 patients from usual care control sites met the inclusion criteria. The baseline mean 10-year risk of cardiovascular disease was 31% for both the intervention group and the control group. Participants in both groups had improved blood pressure, lipid levels, and HbA1c levels during the observation period. Random intercept hierarchical regression models showed that the intervention group had a 2.1% (95% CI -3.7%, -0.5%) greater reduction in predicted risk for future cardiovascular events when compared to the control group. This would result in a reduced risk of one cardiovascular disease event for every 48 patients exposed to the intervention. CONCLUSIONS: Over a 1-year interval, this collaborative intervention using the CCM lowered the cardiovascular disease risk factors of patients with diabetes who were cared for in the participating organization's settings. Further work could enhance the impact of this promising multifactorial intervention on cardiovascular disease risk reduction.

The quality of obstructive lung disease care for adults in the United States as measured by adherence to recommended processes.

BACKGROUND: The extent to which patients with obstructive lung disease receive recommended processes of care is largely unknown. We assessed the quality of care delivered to a national sample of the US population. METHODS: We extracted medical records for 2 prior years from consenting participants in a random telephone survey in 12 communities and measured the quality of care provided with 45 explicit, process-based quality indicators for asthma and COPD developed using the modified Delphi expert panel methodology. Multivariate logistic regression evaluated effects of patient demographics, insurance, and other characteristics on the quality of health care. RESULTS: We identified 2,394 care events among 260 asthma participants and 1,664 events among 169 COPD participants. Overall, participants received 55.2% of recommended care for obstructive lung disease. Asthma patients received 53.5% of recommended care; routine management was better (66.9%) than exacerbation care (47.8%). COPD patients received 58.0% of recommended care but received better exacerbation care (60.4%) than routine care (46.1%). Variation was seen in mode of care with considerable deficits in documenting recommended aspects of medical history (41.4%) and use of diagnostic studies (40.1%). Modeling demonstrated modest variation between racial groups, geographic areas, insurance types, and other characteristics. CONCLUSIONS: Americans with obstructive lung disease received only 55% of recommended care. The deficits and variability in the quality of care for obstructive lung disease present ample opportunity for quality improvement. Future endeavors should assess reasons for low adherence to recommended processes of care and assess barriers in delivery of care.

The quality of pharmacologic care for adults in the United States.

BACKGROUND: Despite rising annual expenditures for prescription drugs, little systematic information is available concerning the quality of pharmacologic care for adults in the United States. We evaluated how frequently appropriate pharmacologic care is ordered in a national sample of U.S. residents. METHODS: The RAND/UCLA Modified Delphi process was used to select quality-of-care indicators for adults across 30 chronic and acute conditions and preventive care. One hundred thirty-three pharmacologic quality-of-care indicators were identified. We interviewed a random sample of adults living in 12 metropolitan areas in the United States by telephone and received consent to obtain copies of their medical records for the most recent 2-year period. We abstracted patient medical records and evaluated 4 domains of the prescribing process that encompassed the entire pharmacologic care experience: appropriate medication prescribing (underuse), avoidance of inappropriate medications (overuse), medication monitoring, and medication education and documentation. A total of 3,457 participants were eligible for at least 1 quality indicator, and 10,739 eligible events were evaluated. We constructed aggregate scores and studied whether patient, insurance, and community factors impact quality. RESULTS: Participants received 61.9% of recommended pharmacologic care overall (95% confidence interval 60.3-63.5%). Performance was lowest in education and documentation (46.2%); medication monitoring (54.7%) and underuse of appropriate medications (62.6%) performance were higher. Performance was best for avoiding inappropriate medications (83.5%). Patient race and health services utilization were associated with modest quality differences, while insurance status was not. CONCLUSIONS: Significant deficits in the quality of pharmacologic care were seen for adults in the United States, with large shortfalls associated with underuse of appropriate medications. Strategies to measure and improve pharmacologic care quality ought to be considered, especially as we initiate a prescription drug benefit for seniors.

Who is at greatest risk for receiving poor-quality health care?

BACKGROUND: American adults frequently do not receive recommended health care. The extent to which the quality of health care varies among sociodemographic groups is unknown. METHODS: We used data from medical records and telephone interviews of a random sample of people living in 12 communities to assess the quality of care received by those who had made at least one visit to a health care provider during the previous two years. We constructed aggregate scores from 439 indicators of the quality of care for 30 chronic and acute conditions and for disease prevention. We estimated the rates at which members of different sociodemographic subgroups received recommended care, with adjustment for the number of chronic and acute conditions, use of health care services, and other sociodemographic characteristics. RESULTS: Overall, participants received 54.9 percent of recommended care. Even after adjustment, there was only moderate variation in quality-of-care scores among sociodemographic subgroups. Women had higher overall scores than men (56.6 percent vs. 52.3 percent, P<0.001), and participants below the age of 31 years had higher scores than those over the age of 64 years (57.5 percent vs. 52.1 percent, P<0.001). Blacks (57.6 percent) and Hispanics (57.5 percent) had slightly higher scores than whites (54.1 percent, P<0.001 for both comparisons). Those with annual household incomes over 50,000 dollars had higher scores than those with incomes of less than 15,000 dollars (56.6 percent vs. 53.1 percent, P<0.001). CONCLUSIONS: The differences among sociodemographic subgroups in the observed quality of health care are small in comparison with the gap for each subgroup between observed and desirable quality of health care. Quality-improvement programs that focus solely on reducing disparities among sociodemographic subgroups may miss larger opportunities to improve care.

Differences in education, knowledge, self-management activities, and health outcomes for patients with heart failure cared for under the chronic disease model: the improving chronic illness care evaluation.

BACKGROUND: The objective of this study was to determine whether participation in a quality improvement (QI) collaborative for heart failure (HF) was associated with better interpersonal aspects of care and health outcomes. METHODS AND RESULTS: We conducted a cross-sectional telephone survey of patients in 6 organizations who participated in a QI collaborative for HF (participants, n = 387) and 6 comparable control organizations (controls, n = 414) and measured provider-patient communication, education received, knowledge of HF, self-management behaviors, satisfaction, and quality of life. The participant group patients were more likely to report their doctor and nurse discussed treatment options and reviewed self-management (P < .01 for both). A total of 88% of participants were told to weigh themselves daily and record their weight compared with 34% of controls (P < .01). Participants were more likely to know how often to check their weight (P < .01), recognize symptoms of worsening HF (P < or = .01 for all), have a scale (P = .002), and monitor their weight daily (P < .001). Participants had similar quality of life but fewer emergency department visits and hospitalizations. CONCLUSION: Participation in a QI collaborative for HF was associated with better communication, education, and knowledge, and lower health care use. Collaboratives may be a useful method for disseminating quality improvement strategies.

Does the collaborative model improve care for chronic heart failure?

BACKGROUND: Organizationally based, disease-targeted collaborative quality improvement efforts are widely applied but have not been subject to rigorous evaluation. We evaluated the effects of the Institute of Healthcare Improvement's Breakthrough Series (IHI BTS) on quality of care for chronic heart failure (CHF). RESEARCH DESIGN: We conducted a quasi-experiment in 4 organizations participating in the IHI BTS for CHF in 1999-2000 and 4 comparable control organizations. We reviewed a total of 489 medical records obtained from the sites and used a computerized data collection tool to measure performance on 23 predefined quality indicators. We then compared differences in indicator performance between the baseline and post-intervention periods for participating and non-participating organizations. RESULTS: Participating and control patients did not differ significantly with regard to measured clinical factors at baseline. After adjusting for age, gender, number of chronic conditions, and clustering by site, participating sites showed greater improvement than control sites for 11 of the 21 indicators, including use of lipid-lowering and angiotensin converting enzyme inhibition therapy. When all indicators were combined into a single overall process score, participating sites improved more than controls (17% versus 1%, P < 0.0001). The improvement was greatest for measures of education and counseling (24% versus -1%, P < 0.0001). CONCLUSIONS: Organizational participation in a common disease-targeted collaborative provider interaction improved a wide range of processes of care for CHF, including both medical therapeutics and education and counseling. Our data support the use of programs like the IHI BTS in improving the processes of care for patients with chronic diseases.

Evaluation of a quality improvement collaborative in asthma care: does it improve processes and outcomes of care?

PURPOSE: We wanted to examine whether a collaborative to improve asthma care influences process and outcomes of care in asthmatic adults. METHOD: We undertook a preintervention-postintervention evaluation of 185 patients in 6 intervention clinics and 3 matched control sites that participated in the Institute for Healthcare Improvement Breakthrough Series (BTS) Collaborative for asthma care. The intervention consisted of 3, 2-day educational sessions for teams dispatched by participating sites, which were followed by 3 action periods during the course of a year. RESULTS: Overall process of asthma care improved significantly in the intervention compared with the control group (change of 10% vs 1%, P = .003). Patients in the intervention group were more likely to attend educational sessions (20% vs 5%, P = .03). Having a written action plan, setting goals, monitoring peak flow rates, and using long-term asthma medications increased between 2% and 19% (not significant), but asthma-related knowledge was unchanged for the 2 groups. Patients in the BTS Collaborative were significantly more likely to be satisfied with clinician and lay educator communication (62% vs 39%, P = .02). Health-related quality of life, asthma-specific quality of life, number of bed days caused by asthma-related illness, and acute care service use were not significantly different between the 2 groups. CONCLUSIONS: The intervention was associated with improved process-of-care measures that have been linked with better outcomes. Patients benefited through increased satisfaction with communication. Follow-up of patients who participated in the intervention may have been too brief to be able to detect significant improvement in health-related outcomes.

Measuring the effectiveness of a collaborative for quality improvement in pediatric asthma care: does implementing the chronic care model improve processes and outcomes of care?

OBJECTIVE: To examine whether a collaborative to improve pediatric asthma care positively influenced processes and outcomes of that care. METHODS: Medical record abstractions and patient/parent interviews were used to make pre- and postintervention comparisons of patients at 9 sites that participated in the evaluation of a Breakthrough Series (BTS) collaborative for asthma care with patients at 4 matched control sites. SETTING: Thirteen primary care clinics. PATIENTS: Three hundred eighty-five asthmatic children who received care at an intervention clinic and 126 who received care at a control clinic (response rate = 76%). INTERVENTION: Three 2-day educational sessions for quality improvement teams from participating sites followed by 3 "action" periods over the course of a year. RESULTS: The overall process of asthma care improved significantly in the intervention group but remained unchanged in the control group (change in process score +13% vs 0%; P < .0001). Patients in the intervention group were more likely than patients in the control group to monitor their peak flows (70% vs 43%; P < .0001) and to have a written action plan (41% vs 22%; P = .001). Patients in the intervention group had better general health-related quality of life (scale score 80 vs 77; P = .05) and asthma-specific quality of life related to treatment problems (scale score 89 vs 85; P < .05). CONCLUSIONS: The intervention improved some important aspects of processes of care that have previously been linked to better outcomes. Patients who received care at intervention clinics also reported higher general and asthma-specific quality of life.

Comparison of quality of care for patients in the Veterans Health Administration and patients in a national sample.

BACKGROUND: The Veterans Health Administration (VHA) has introduced an integrated electronic medical record, performance measurement, and other system changes directed at improving care. Recent comparisons with other delivery systems have been limited to a small set of indicators. OBJECTIVE: To compare the quality of VHA care with that of care in a national sample by using a comprehensive quality-of-care measure. DESIGN: Cross-sectional comparison. SETTING: 12 VHA health care systems and 12 communities. PATIENTS: 596 VHA patients and 992 patients identified through random-digit dialing. All were men older than 35 years of age. MEASUREMENTS: Between 1997 and 2000, quality was measured by using a chart-based quality instrument consisting of 348 indicators targeting 26 conditions. Results were adjusted for clustering, age, number of visits, and medical conditions. RESULTS: Patients from the VHA scored significantly higher for adjusted overall quality (67% vs. 51%; difference, 16 percentage points [95% CI, 14 to 18 percentage points]), chronic disease care (72% vs. 59%; difference, 13 percentage points [CI, 10 to 17 percentage points]), and preventive care (64% vs. 44%; difference, 20 percentage points [CI, 12 to 28 percentage points]), but not for acute care. The VHA advantage was most prominent in processes targeted by VHA performance measurement (66% vs. 43%; difference, 23 percentage points [CI, 21 to 26 percentage points]) and least prominent in areas unrelated to VHA performance measurement (55% vs. 50%; difference, 5 percentage points [CI, 0 to 10 percentage points]). LIMITATIONS: Unmeasured residual differences in patient characteristics, a lower response rate in the national sample, and differences in documentation practices could have contributed to some of the observed differences. CONCLUSIONS: Patients from the VHA received higher-quality care according to a broad measure. Differences were greatest in areas where the VHA has established performance measures and actively monitors performance.

Profiling the quality of care in twelve communities: results from the CQI study.

Health care quality falls far short of its potential nationally. Because care is delivered locally, improvement strategies should be tailored to community needs. This analysis from the Community Quality Index (CQI) study reports on a comprehensive examination of how effectively care is delivered in twelve metropolitan areas. We find room for improvement in quality overall and in dimensions of preventive, acute, and chronic care in all of these communities; no community was consistently best or worst on the various dimensions. Having concrete estimates of the extent of the gap in performance should stimulate community-based quality improvement efforts.

The quality of health care delivered to adults in the United States.

BACKGROUND: We have little systematic information about the extent to which standard processes involved in health care--a key element of quality--are delivered in the United States. METHODS: We telephoned a random sample of adults living in 12 metropolitan areas in the United States and asked them about selected health care experiences. We also received written consent to copy their medical records for the most recent two-year period and used this information to evaluate performance on 439 indicators of quality of care for 30 acute and chronic conditions as well as preventive care. We then constructed aggregate scores. RESULTS: Participants received 54.9 percent (95 percent confidence interval, 54.3 to 55.5) of recommended care. We found little difference among the proportion of recommended preventive care provided (54.9 percent), the proportion of recommended acute care provided (53.5 percent), and the proportion of recommended care provided for chronic conditions (56.1 percent). Among different medical functions, adherence to the processes involved in care ranged from 52.2 percent for screening to 58.5 percent for follow-up care. Quality varied substantially according to the particular medical condition, ranging from 78.7 percent of recommended care (95 percent confidence interval, 73.3 to 84.2) for senile cataract to 10.5 percent of recommended care (95 percent confidence interval, 6.8 to 14.6) for alcohol dependence. CONCLUSIONS: The deficits we have identified in adherence to recommended processes for basic care pose serious threats to the health of the American public. Strategies to reduce these deficits in care are warranted.

Quality of health care for women: a demonstration of the quality assessment tools system.

BACKGROUND: Consumers, purchasers, and regulators are seeking information on quality for a variety of purposes. To address these demands, methods are required that are flexible in meeting the information needs of different audiences. OBJECTIVES: To test a new clinically detailed, comprehensive approach to quality measurement called Quality Assessment (QA) Tools. DESIGN: Quality measures were developed for women ages 18 to 50 years for preventive care and 17 clinical areas that included chronic and acute health problems. A stratified random sample of women enrolled in 1 of 2 health plans in 1996 to 1997 was drawn and data abstracted from the medical records of all their providers for a 2-year period. FINDINGS: We evaluated quality for 758 women in 2 managed care plans. Quality of care varied substantially depending on the dimension being examined. For example, acute care was significantly better than chronic or preventive care. Quality was highest for follow-up care and lowest for treatment in both plans. Quality by modality ranged from approximately 90% for referral or admission to 16% for education and counseling. We found significant differences between the plans in the quality of care for 7 of the 17 conditions studied. CONCLUSION: The QA Tools system offers an alternative approach to evaluating health system performance. Potential advantages include the richness of the information produced by the system, the ability to create summary scores for consumers and purchasers, and the system-level performance information for use in quality improvement activities.