Biomedical subjects

Anne E Sales

Publications and source records attributed to Anne E Sales.

25 records · Page 2Linked to original sources

PubMed2003

Impact of angina burden and other factors on treatment satisfaction after acute coronary syndromes.

PURPOSE: Although of great importance to clinicians, hospitals, and health care systems, little is known about factors that influence treatment satisfaction after acute coronary syndromes (ACS). The objective of this study was to identify potentially modifiable factors associated with treatment satisfaction 7 months after ACS. METHODS: The study population included 1957 patients with ACS who were enrolled in the multicenter, prospective Veterans' Health Administration Access to Cardiology Study. The primary outcome was treatment satisfaction 7 months after ACS as measured by the Seattle Angina Questionnaire. Multivariable regression models were developed to determine the association between treatment satisfaction and patient characteristics, physician-patient communication, and current angina frequency. RESULTS: Patient characteristics associated with reduced treatment satisfaction included a history of depression, atrial fibrillation, prior heart surgery, arthritis, hypertension, younger age, and a discharge diagnosis of unstable angina (as opposed to myocardial infarction). After adjusting for patient characteristics, patient-reported inability to reach one or more of their physicians (OR, 2.40; 95% CI, 1.47 to 3.91), being given confusing information (OR, 3.48; 95% CI, 2.08 to 5.83), and poor overall communication with one or more of their physicians (OR, 4.94; 95% CI, 2.93 to 8.34) were all associated with reduced satisfaction. Finally, after adjustment for both patient characteristics and physician communication, weekly (OR, 3.52; 95% CI, 2.28 to 5.45) and daily angina (OR, 3.88; 95% CI, 2.23 to 6.75) were associated with worse treatment satisfaction. CONCLUSIONS: Current angina symptoms and aspects of physician communication are independently associated with treatment satisfaction after ACS. These results suggest that treatment satisfaction may be improved through better communication and better control of angina symptoms.

Aged↗

PubMed2003

History of depression, angina, and quality of life after acute coronary syndromes.

BACKGROUND: Depression has been associated with higher mortality and morbidity rates after acute coronary syndromes (ACS), but little is known about the association between depression, angina burden, and quality of life. We evaluated the association between a history of depression and patient-reported angina frequency, physical limitation, and quality of life 7 months after discharge from the hospital for ACS. METHODS: Patients were enrolled in the Department of Veterans Affairs Access to Cardiology Study, a cohort study of all patients with acute myocardial infarction or unstable angina who were discharged from 24 Veterans Affairs medical centers between March 1998 and February 1999. Data from 1957 patients who completed a 7-month postdischarge Seattle Angina Questionnaire were analyzed. Multivariate logistic regression was used to evaluate a history of depression as an independent predictor of angina frequency, physical limitation, and quality of life 7 months after ACS, as measured with the Seattle Angina Questionnaire. RESULTS: A total of 526 patients (26.7%) had a history of depression. After adjustment for a wide array of demographic, cardiac, and comorbid factors, a history of depression was significantly associated with more frequent angina (odds ratio [OR] 2.40, 95% CI 1.86-3.10, P <.001), greater physical limitation (OR 2.89, 95% CI 2.17-3.86, P <.001), and worse quality of life (OR 2.84, 95% CI 2.16-3.72, P <.001) after ACS. CONCLUSION: We found a strong association between a history of depression and both heavier angina burden and worse health status after ACS. These findings further support the importance of depression as a risk marker for adverse outcomes after ACS.

Acute Disease↗

PubMed2003

Construction and characteristics of the RxRisk-V: a VA-adapted pharmacy-based case-mix instrument.

BACKGROUND: Assessment of disease burden is the key to many aspects of health care management. Patient diagnoses are commonly used for case-mix assessment. However, issues pertaining to diagnostic data availability and reliability make pharmacy-based strategies attractive. Our goal was to provide a reliable and valid pharmacy-based case-mix classification system for chronic diseases found in the Veterans Health Administration (VHA) population. OBJECTIVE: To detail the development and category definitions of a VA-adapted version of the RxRisk (formerly the Chronic Disease Score); to describe category prevalence and reliability; to check category criterion validity against ICD-9 diagnoses; and to assess category-specific regression coefficients in concurrent and prospective cost models. RESEARCH DESIGN: Clinical and pharmacological review followed by cohort analysis of diagnostic, pharmacy, and utilization databases. SUBJECTS: 126,075 veteran users of VHA services in Washington, Oregon, Idaho, and Alaska. METHODS: We used Kappa statistics to evaluate RxRisk category reliability and criterion validity, and multivariate regression to estimate concurrent and prospective cost models. RESULTS: The RxRisk-V classified 70.5% of the VHA Northwest Network 1998 users into an average of 2.61 categories. Of the 45 classes, 33 classes had good-excellent 1-year reliability and 25 classes had good-excellent criterion validity against ICD-9 diagnoses. The RxRisk-V accounts for a distinct proportion of the variance in concurrent (R2 = 0.18) and prospective cost (R2 = 0.10) models. CONCLUSIONS: The RxRisk-V provides a reliable and valid method for administrators to describe and understand better chronic disease burden of their treated populations. Tailoring to the VHA permits assessment of disease burden specific to this population.

Adolescent↗

PubMed2003

Predicting costs of care using a pharmacy-based measure risk adjustment in a veteran population.

BACKGROUND: Although most widely used risk adjustment systems use diagnosis data to classify patients, there is growing interest in risk adjustment based on computerized pharmacy data. The Veterans Health Administration (VHA) is an ideal environment in which to test the efficacy of a pharmacy-based approach. OBJECTIVE: To examine the ability of RxRisk-V to predict concurrent and prospective costs of care in VHA and compare the performance of RxRisk-V to a simple age/gender model, the original RxRisk, and two leading diagnosis-based risk adjustment approaches: Adjusted Clinical Groups and Diagnostic Cost Groups/Hierarchical Condition Categories. METHODS: The study population consisted of 161,202 users of VHA services in Washington, Oregon, Idaho, and Alaska during fiscal years (FY) 1996 to 1998. We examined both concurrent and predictive model fit for two sequential 12-month periods (FY 98 and FY 99) with the patient-year as the unit of analysis, using split-half validation. RESULTS: Our results show that the Diagnostic Cost Group /Hierarchical Condition Categories model performs best (R2 = 0.45) among concurrent cost models, followed by ADG (0.31), RxRisk-V (0.20), and age/sex model (0.01). However, prospective cost models other than age/sex showed comparable R2: Diagnostic Cost Group /Hierarchical Condition Categories R2 = 0.15, followed by ADG (0.12), RxRisk-V (0.12), and age/sex (0.01). CONCLUSIONS: RxRisk-V is a clinically relevant, open source risk adjustment system that is easily tailored to fit specific questions, populations, or needs. Although it does not perform better than diagnosis-based measures available on the market, it may provide a reasonable alternative to proprietary systems where accurate computerized pharmacy data are available.

Adolescent↗

PubMed2003

Case-mix adjusting performance measures in a veteran population: pharmacy- and diagnosis-based approaches.

OBJECTIVE: To compare the rankings for health care utilization performance measures at the facility level in a Veterans Health Administration (VHA) health care delivery network using pharmacy- and diagnosis-based case-mix adjustment measures. DATA SOURCES/STUDY SETTING: The study included veterans who used inpatient or outpatient services in Veterans Integrated Service Network (VISN) 20 during fiscal year 1998 (October 1997 to September 1998; N = 126,076). Utilization and pharmacy data were extracted from VHA national databases and the VISN 20 data warehouse. STUDY DESIGN: We estimated concurrent regression models using pharmacy or diagnosis information in the base year (FY1998) to predict health service utilization in the same year. Utilization measures included bed days of care for inpatient care and provider visits for outpatient care. PRINCIPAL FINDINGS: Rankings of predicted utilization measures across facilities vary by case-mix adjustment measure. There is greater consistency within the diagnosis-based models than between the diagnosis- and pharmacy-based models. The eight facilities were ranked differently by the diagnosis- and pharmacy-based models. CONCLUSIONS: Choice of case-mix adjustment measure affects rankings of facilities on performance measures, raising concerns about the validity of profiling practices. Differences in rankings may reflect differences in comparability of data capture across facilities between pharmacy and diagnosis data sources, and unstable estimates due to small numbers of patients in a facility.

Aged↗

PubMed2003

Health care utilization and expenditures associated with child care attendance: a nationally representative sample.

OBJECTIVE: Participation in center-based child care among preschool-aged children is associated with an increased incidence of communicable illness. Although estimates of health care utilization and costs associated with child care attendance exist in other countries with different health care systems, nationally representative data for the United States are lacking. The objective of this study was to determine the patterns of health care utilization and costs associated with attendance at different types of child care, among a nationally representative sample of preschool-aged children. METHODS: A nationally representative sample of children aged 0 to 5 years enrolled in the Medical Expenditure Panel Survey, 1997 Cohort were studied. Data were analyzed by cross-sectional analysis within a single calendar year. The Rand Health Insurance experiment 2-part multivariate regression model was used to accommodate skewed expenditure data. RESULTS: A total of 871 children were included in the study. A total of 484 (56%) attended no child care provided by anyone other than their primary caregiver; 134 (15%) attended center-based child care; 76 (9%) attended friend or neighbor care; and 170 (20%) attended in-home or relative care. In a weighted multivariate model, children in center-based child care were more likely than those not in child care to have attended at least 1 office-based visit (adjusted odds ratio [aOR]: 2.8; 95% confidence interval [CI]: 1.0-7.9) and emergency department visit (aOR: 2.0; 95% CI: 1.1-3.6) and to have received a medication prescription (aOR: 2.8; 95% CI: 1.2-6.1). The adjusted 2-part model predicted total health care expenditures for those not attending child care to be 642 dollars (95% CI: 508-813), versus 985 dollars (95% CI: 714-1336) for a similar population in center-based child care. Expenditure data for office-based visits and medication prescriptions mirrored these trends. CONCLUSION: In the immediate term, children in center-based child care tend to use more health care services. This increased utilization translates into modest per-child differences in health care expenditures. We hypothesize that this pattern of utilization and expenditure is attributable primarily to a higher incidence of minor, self-limited, communicable illness among children in center-based child care.

Child Care↗

PubMedDate not supplied

Potentially inappropriate medication use in community residential care facilities.

OBJECTIVE: To describe the prevalence of potentially inappropriate medication use in community residential care (CRC) facilities at baseline, describe exposure to potentially inappropriate drugs during the 1-year follow-up, and examine characteristics associated with potentially inappropriate use. DESIGN: A cohort study was conducted using 282 individuals aged >/=65 years entering a CRC facility in a 3-county area in the Puget Sound region of Washington State between April 1998 and December 1998 on Medicaid funding. MAIN OUTCOME MEASURE: Use of potentially inappropriate medications as defined by explicit criteria (e.g., drugs that should generally be avoided in the elderly because potential risks outweigh any potential benefits). RESULTS: Sixty-two (22%) residents took a total of 75 potentially inappropriate medications at baseline. The most common agents used at baseline were oxybutynin (3.5%) and amitriptyline (3.5%). The incidence of new use of potentially inappropriate medications was 0.1/100 person-days during the follow-up period. Potentially inappropriate use was related to self-reported fair or poor health (adjusted OR 1.42; 95% CI 1.05 to 1.92) and number of prescription drugs (adjusted OR 1.12; 95% CI 1.05 to 1.19). In the Cox proportional hazard model, no characteristics predicted new potentially inappropriate medication use during the follow-up. CONCLUSIONS: Potentially inappropriate medication use is common among residents in CRC facilities. A comprehensive periodic review may be beneficial for reducing potentially inappropriate use, especially for patients taking multiple drugs.

Aged↗