Striving for six sigma in pressure ulcer care.
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Biomedical subjects
Dan R Berlowitz
Publications and source records attributed to Dan R Berlowitz.
Tooth retention as an indicator of quality dental care: development of a risk adjustment model.
BACKGROUND: Retaining teeth improves oral health and quality of life. Thus, receipt of a root canal (vs. a tooth extraction) is a useful indicator of the quality of dental care. However, use of this quality measure without adjusting for the severity of oral disease could lead to spurious conclusions. OBJECTIVES: This paper describes the development of a dental severity adjustment methodology. RESEARCH DESIGN: Retrospective study. SUBJECTS: 54,423 users of Department of Veterans Affairs (VA) dental care who had either root canal therapy or a tooth extraction at a VA facility in Fiscal year 1998. MEASURES: International Classification of Disease Clinical Modification codes for dental diagnoses and comorbid medical conditions. We modeled the effects of dental disease severity in logistic regression models of the probability of receiving a root canal, using both conceptual and Modified Delphi-Panel derived models, adjusting for age, and medical comorbidities. RESULTS: Conceptual and Modified Delphi models performed similarly. The dental disease severity adjustments increased the fit in models of the probability of receiving a root canal (C-statistic = 0.822 for the conceptual model and 0.804 for the Modified Delphi Panel model) compared with the model including comorbid medical conditions alone (C-statistic = 0.561). CONCLUSIONS: Risk adjustment for dental disease severity improves the fit of models of the probability of receiving a root canal. Studies of the quality of dental care should consider employing risk-adjusted models.
Alcoholism↗
Measuring the quality of depression care in a large integrated health system.
BACKGROUND: Guideline-based depression process measures provide a powerful way to monitor depression care and target areas needing improvement. OBJECTIVES: To assess the adequacy of depression care in the Veterans Health Administration (VHA) using guideline-based process measures derived from administrative and centralized pharmacy records, and to identify patient and provider characteristics associated with adequate depression care. RESEARCH DESIGN: This is a cohort study of patients from 14 VHA hospitals in the Northeastern United States which relied on existing databases. Subject eligibility criteria: at least one depression diagnosis during 1999, neither schizophrenia nor bipolar disease, and at least one antidepressant prescribed in the VHA during the period of depression care profiling (June 1, 1999 through August 31, 1999). Depression care was evaluated with process measures defined from the 1997 VHA depression guidelines: antidepressant dosage and duration adequacy. We used multivariable regression to identify patient and provider characteristics predicting adequate care. SUBJECTS: There were 12,678 patients eligible for depression care profiling. RESULTS: Adequate dosage was identified in 90%; 45% of patients had adequate duration of antidepressants. Significant patient and provider characteristics predicting inadequate depression care were younger age (<65), black race, and treatment exclusively in primary care. CONCLUSIONS: Under-treatment of depression exists in the VHA, despite considerable mental health access and generous pharmacy benefits. Certain patient populations may be at higher risk for inadequate depression care. More work is needed to align current practice with best-practice guidelines and to identify optimal ways of using available data sources to monitor depression care quality.
Adult↗
Quality improvement implementation in the nursing home.
OBJECTIVE: To examine quality improvement (QI) implementation in nursing homes, its association with organizational culture, and its effects on pressure ulcer care. DATA SOURCES/STUDY SETTING: Primary data were collected from staff at 35 nursing homes maintained by the Department of Veterans Affairs (VA) on measures related to QI implementation and organizational culture. These data were combined with information obtained from abstractions of medical records and analyses of an existing database. STUDY DESIGN: A cross-sectional analysis of the association among the different measures was performed. DATA COLLECTION/EXTRACTION METHODS: Completed surveys containing information on QI implementation, organizational culture, employee satisfaction, and perceived adoption of guidelines were obtained from 1,065 nursing home staff. Adherence to best practices related to pressure ulcer prevention was abstracted from medical records. Risk-adjusted rates of pressure ulcer development were calculated from an administrative database. PRINCIPAL FINDINGS: Nursing homes differed significantly (p<.001) in their extent of QI implementation with scores on this 1 to 5 scale ranging from 2.98 to 4.08. Quality improvement implementation was greater in those nursing homes with an organizational culture that emphasizes innovation and teamwork. Employees of nursing homes with a greater degree of QI implementation were more satisfied with their jobs (a 1-point increase in QI score was associated with a 0.83 increase on the 5-point satisfaction scale, p<.001) and were more likely to report adoption of pressure ulcer clinical guidelines (a 1-point increase in QI score was associated with a 28 percent increase in number of staff reporting adoption, p<.001). No significant association was found, though, between QI implementation and either adherence to guideline recommendations as abstracted from records or the rate of pressure ulcer development. CONCLUSIONS: Quality improvement implementation is most likely to be successful in those VA nursing homes with an underlying culture that promotes innovation. While QI implementation may result in staff who are more satisfied with their jobs and who believe they are providing better care, associations with improved care are uncertain.
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Differential adoption of pharmacotherapy recommendations for type 2 diabetes by generalists and specialists.
Newer, multimedication (novel) regimens provide better glycemic control for many type 2 diabetics when sulfonylurea monotherapy (traditional) becomes ineffective. Because better glycemic control is associated with decreased likelihood of complications and lower utilization and cost of care, the authors examined change in prescribing patterns for veterans with type 2 diabetes between FY 97 and 99. They classified medication regimens as traditional and novel based on the combination of diabetes medications patients received at the end of each year. Multivariate logistic regression analyses controlling for disease severity indicated that patients were more likely to receive novel regimens over time, but those seen only in primary care were less likely to receive novel regimens than those previously seen by a specialist. Geographic differences and differences in how recommendations were implemented by generalists and specialists suggest that diffusion of innovations theory may help explain variations in practice and guide interventions designed to translate research into practice.
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Hypertension management in patients with diabetes: the need for more aggressive therapy.
OBJECTIVE: Clinical trials have demonstrated the importance of tight blood pressure control among patients with diabetes. However, little is known regarding the management of hypertension in patients with coexisting diabetes. To examine this issue, we addressed 1) whether hypertensive patients with coexisting diabetes are achieving lower levels of blood pressure than patients without diabetes, 2) whether there are differences in the intensity of antihypertensive medication therapy provided to patients with and without diabetes, and 3) whether diabetes management affects decisions to increase antihypertensive medication therapy. RESEARCH DESIGN AND METHODS: We abstracted medical records to collect detailed information on 2 years of care provided for 800 male veterans with hypertension. We compared patients with and without diabetes on intensity of therapy and blood pressure control. Intensity of therapy was described using a previously validated measure that captures the likelihood of an increase in antihypertensive medications. We also determined whether increases in antihypertensive medications were less likely at those visits in which the diabetes medications were being adjusted. RESULTS: Of the 274 hypertensive patients with diabetes, 73% had a blood pressure > or =140/90 mmHg, compared with 66% in the 526 patients without diabetes (P = 0.04). Diabetic patients also received significantly (P = 0.05) less intensive antihypertensive medication therapy than patients without diabetes. Less intensive therapy in diabetic patients could not be explained by clinicians being distracted by the treatment for diabetes. CONCLUSIONS: There is an urgent need to improve hypertension care and blood pressure control in patients with diabetes. Additional information is required to understand why clinicians are not more aggressive in managing blood pressure when patients also have diabetes.
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Physician-related barriers to the effective management of uncontrolled hypertension.
BACKGROUND: Primary care physicians may not be aggressive enough with the management of hypertension. The purpose of this study was to identify barriers to primary care physicians' willingness to increase the intensity of treatment among patients with uncontrolled hypertension. METHODS: Descriptive survey study. We sampled patient visits in a large midwestern health system to identify patients with uncontrolled hypertension. The treating primary care physicians were asked to complete a survey about the patient visit with a copy of the office notes attached to the survey (patient visits, n = 270; response rate, 86%). RESULTS: Pharmacologic therapy was initiated or changed at only 38% of visits, despite documented hypertension for at least 6 months before the patients' most recent visit. The most frequently cited reason for no initiation or change in therapy was related to the primary care physicians being satisfied with the blood pressure (BP) value (satisfactory BP response, 30%; satisfactory diastolic BP response, 16%; only borderline hypertension, 10%). At 93% of these visits, systolic BP values were 140 mm Hg or higher, which is above the cut point recommended by Sixth Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure guidelines, and 35% were 150 mm Hg or higher. On average, physicians reported that 150 mm Hg was the lowest systolic BP at which they would recommend pharmacologic treatment to patients, compared with 91 mm Hg for diastolic BP. CONCLUSIONS: Our findings suggest that an important reason why physicians do not treat hypertension more aggressively is that they are willing to accept an elevated systolic BP in their patients. This has an important impact on public health because of the positive association between systolic BP and cardiovascular disease.
Adult↗
Diagnostic cost groups (DCGs) and concurrent utilization among patients with substance abuse disorders.
OBJECTIVE: To assess the performance of Diagnostic Cost Groups (DCGs) in explaining variation in concurrent utilization for a defined subgroup, patients with substance abuse (SA) disorders, within the Department of Veterans Affairs (VA). DATA SOURCES: A 60 percent random sample of veterans who used health care services during Fiscal Year (FY) 1997 was obtained from VA administrative databases. Patients with SA disorders (13.3 percent) were identified from primary and secondary ICD-9-CM diagnosis codes. STUDY DESIGN: Concurrent risk adjustment models were fitted and tested using the DCG/HCC model. Three outcome measures were defined: (1) "service days" (the sum of a patient's inpatient and outpatient visit days), (2) mental health/substance abuse (MH/SA) service days, and (3) ambulatory provider encounters. To improve model performance, we ran three DCG/HCC models with additional indicators for patients with SA disorders. DATA COLLECTION: To create a single file of veterans who used health care services in FY 1997, we merged records from all VA inpatient and outpatient files. PRINCIPAL FINDINGS: Adding indicators for patients with mild/moderate SA disorders did not appreciably improve the R-squares for any of the outcome measures. When indicators were added for patients with severe SA who were in the most costly category, the explanatory ability of the models was modestly improved for all three outcomes. CONCLUSIONS: Modifying the DCG/HCC model with additional markers for SA modestly improved homogeneity and model prediction. Because considerable variation still remained after modeling, we conclude that health care systems should evaluate "off-the-shelf" risk adjustment systems before applying them to their own populations.
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Profiling nursing homes using Bayesian hierarchical modeling.
OBJECTIVES: New methods developed to improve the statistical basis of provider profiling may be particularly applicable to nursing homes. We examine the use of Bayesian hierarchical modeling in profiling nursing homes on their rate of pressure ulcer development. DESIGN: Observational study using Minimum Data Set data from 1997 and 1998. SETTING: A for-profit nursing home chain. PARTICIPANTS: Residents of 108 nursing homes who were without a pressure ulcer on an index assessment. MEASUREMENTS: Nursing homes were compared on their performance on risk-adjusted rates of pressure ulcer development calculated using standard statistical techniques and Bayesian hierarchical modeling. RESULTS: Bayesian estimates of nursing home performance differed considerably from rates calculated using standard statistical techniques. The range of risk-adjusted rates among nursing homes was 0% to 14.3% using standard methods and 1.0% to 4.8% using Bayesian analysis. Fifteen nursing homes were designated as outliers based on their z scores, and two were outliers using Bayesian modeling. Only one nursing home had greater than a 50% probability of having a true rate of ulcer development exceeding 4%. CONCLUSIONS: Bayesian hierarchical modeling can be successfully applied to the problem of profiling nursing homes. Results obtained from Bayesian modeling are different from those obtained using standard statistical techniques. The continued evaluation and application of this new methodology in nursing homes may ensure that consumers and providers have the most accurate information regarding performance.
Bayes Theorem↗
The hazards of stroke case selection using administrative data.
BACKGROUND: Administrative data and ICD-9-CM diagnostic codes are frequently used in research efforts to evaluate risk adjusted patient outcomes, particularly mortality. Varying ICD-9-CM sampling algorithms have been used to identify stroke patients. OBJECTIVES: This study evaluates the effects of different sampling strategies (one high sensitivity and one high specificity) on modeling stroke mortality as a performance indicator. RESEARCH DESIGN: Risk adjustment models were developed for two stroke cohorts identified using differing ICD-9-CM algorithms. Standard mortality ratios were calculated in a validation sample as network performance measures and compared across the two stroke samples. SUBJECTS: VHA inpatients with stroke during years 1997 (model development) and 1998 (model validation) were selected from the Patient Treatment File based on cerebrovascular diagnostic codes. MEASURES: Patient mortality within 30 days of admission. RESULTS: The model development and validation for each stroke sampling method produced consistent results: c-statistics 0.74 to 0.75, R2 0.07 to 0.09, concordance 73% to 74%. However, ranking differences in network performance varied by 5 or more positions for 7 of the 22 patient networks. CONCLUSIONS: These findings highlight a potential problem when using administrative data to assess stroke mortality. In the absence of an agreed upon definition of stroke patients, results of provider profiling will vary depending on the ICD-9 algorithm used.
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Risk-adjusted mortality rates as a potential outcome indicator for outpatient quality assessments.
OBJECTIVE: The quality of outpatient medical care is increasingly recognized as having an important impact on mortality. We examined whether a clinically credible risk adjustment methodology can be developed for outpatient quality assessments. RESEARCH DESIGN: This study used data from the 1998 National Survey of Ambulatory Care Patients, a prospective monitoring system of outcomes of patients receiving ambulatory care in the Veterans Affairs (VA) integrated service networks. SUBJECTS: Thirty-one thousand eight hundred twenty-three patients were followed for 18 months. MEASURES: The main study outcome measures were observed and risk-adjusted mortality rates. RESULTS: Of the 31,823 patients, 1559 (5%) died during the 18-months of follow-up. Observed mortality rates across the 22 VA integrated service networks varied significantly from 3.3% to 6.7% (P <0.001). Age, gender, comorbidities (Charlson Index), physical health, and mental health were significant predictors of dying. The resulting risk-adjusted mortality model performed well in cross-validated tests of discrimination (c-statistic = 0.768; 95% CI, 0.749-0.788) and calibration. Analysis of variance confirmed that the 22 integrated service networks differed in their average level of expected risk (P <0.001). Risk-adjusted rates and ranks of the networks differed considerably from unadjusted ratings. CONCLUSIONS: Risk-adjusted mortality rates may be a useful outcome measure for assessing quality of outpatient care. We have developed a clinically credible risk adjustment model with good performance properties using sociodemographics, diagnoses, and functional status data. The resulting risk adjustment model altered assessments of the performance of the integrated service networks when compared with the unadjusted mortality rates.
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Self-reported vs administrative race/ethnicity data and study results.
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Databases as Topic↗
Profiling resource use: do different outcomes affect assessments of provider efficiency?
OBJECTIVES: To examine whether 2 outcome measures result in different assessments of efficiency across 22 service networks within the Department of Veterans Affairs (VA). STUDY DESIGN: A retrospective analysis using VA inpatient and outpatient administrative databases. METHODS: A 60% random sample of veterans who used healthcare services during fiscal year 1997 was split into a 40% sample (n = 1,046,803) for development and a 20% sample (n = 524,461) for validation. Weighted concurrent case-mix models using adjusted clinical groups were developed to explain variation in 2 outcomes: "days of care"--the sum of a patient's inpatient and outpatient annual visit days, and "average accounting costs"--the sum of the average service costs multiplied by the units of service for each patient. Two profiling indicators were calculated for each outcome: an unadjusted efficiency index and an adjusted efficiency index. These indices were compared to examine network efficiency. RESULTS: Although about half the networks were identified as "efficient" before and after case-mix adjustment, assessments of individual network efficiency were affected by the adjustment. The 2 outcomes differed on which networks were efficient. For example, 4 networks that appeared as efficient based on days of care appeared as inefficient based on average costs. CONCLUSIONS: Assessments of provider efficiency across the 22 networks depended on the outcome measure used. Knowledge about the extent to which assessments of provider efficiency depend on the outcome measure used is an important step toward improved and more equitable comparisons across providers.
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Do different case-mix measures affect assessments of provider efficiency? Lessons from the Department of Veterans Affairs.
Although case-mix adjustment is critical for provider profiling, little is known regarding whether different case-mix measures affect assessments of provider efficiency. We examine whether two case-mix measures, Adjusted Clinical Groups (ACGs) and Diagnostic Cost Groups (DCGs), result in different assessments of efficiency across service networks within the Department of Veterans Affairs (VA). Three profiling indicators examine variation in resource use. Although results from the ACGs and DCGs generally agree on which networks have greater or lesser efficiency than average, assessments of individual network efficiency vary depending upon the case-mix measure used. This suggests that caution should be used so that providers are not misclassified based on reported efficiency.
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