Biomedical subjects

Mary K Goldstein

Publications and source records attributed to Mary K Goldstein.

14 recordsLinked to original sources

PubMed2005

The veterans' study to improve the control of hypertension (V-STITCH): design and methodology.

BACKGROUND: Among the 60 million Americans with hypertension, only approximately 31% have their blood pressure (BP) under control (<140/90 mm Hg). Despite the damaging impact of hypertension and the availability of evidence-based target values for BP, interventions to improve BP control have had limited success. OBJECTIVES: A randomized controlled health services intervention trial with a split-plot design is being conducted to improve BP control. This 4-year trial evaluates both a patient and a provider intervention in a primary care setting among diagnosed hypertensive veterans. METHODS: In a cluster-randomization, 30 primary care providers in the Durham VAMC Primary Care Clinic were randomly assigned to receive the provider intervention or control. The provider intervention is a patient-specific electronically generated hypertension decision support system (DSS) delivering guideline-based recommendations to the provider at each patient's visit, designed to improve guideline-concordant therapy. For these providers, a sample of their hypertensive patients (n=588) was randomly assigned to receive a telephone-administered patient intervention or usual care. The patient intervention incorporates patients' need assessments and involves tailored behavioral and education modules to promote medication adherence and improve specific health behaviors. All modules are delivered over the telephone bi-monthly for 24 months. In this trial, the primary outcome is the proportion of patients who achieve a BP < or =140/90 mm Hg at each outpatient clinic visit over 24 months. CONCLUSION: Despite the known risk of poor BP control, a majority of adults still do not have their BP controlled. This study is an important step in testing the effectiveness of a patient and provider intervention to improve BP control among veterans in the primary care setting.

Adult↗

PubMed2004

Clinician awareness of adherence to hypertension guidelines.

PURPOSE: Little is known about how well clinicians are aware of their own adherence to clinical guidelines, an important indicator of quality. We compared clinicians' beliefs about their adherence to hypertension guidelines with data on their actual performance. METHODS: We surveyed 139 primary care clinicians at three Veterans Affairs medical centers, asking them to assess their own adherence to hypertension guidelines. We then extracted data from the centers' clinical databases on guideline-concordant medication use and blood pressure control for patients cared for by these providers during a 6-month period. Data were collected for patients with hypertension and diabetes, hypertension and coronary disease, or hypertension with neither of these comorbid conditions. RESULTS: Eighty-six clinicians (62%) completed the survey. Each clinician saw a median of 94 patients with hypertension (mean age, 65 years). Patients were treated with an average of 1.6 antihypertensive medications. Overall, clinicians overestimated the proportion of their patients who were prescribed guideline-concordant medications (75% perceived vs. 67% actual, P <0.001) and who had blood pressure levels <140/90 mm Hg on their last visit (68% perceived vs. 43% actual, P <0.001). Among individual clinicians, there were no significant correlations between perceived and actual guideline adherence (r = 0.18 for medications, r = 0.14 for blood pressure control; P > or =0.10 for both). Clinicians with relatively low actual guideline performance were most likely to overestimate their adherence to medication recommendations and blood pressure targets. CONCLUSION: Clinicians appear to overestimate their adherence to hypertension guidelines, particularly with regards to the proportion of their patients with controlled blood pressure. This limited awareness may represent a barrier to successful implementation of guidelines, and could be addressed through the use of provider profiles and point-of-service feedback to clinicians.

Aged↗

PubMed2004

Translating research into practice: organizational issues in implementing automated decision support for hypertension in three medical centers.

Information technology can support the implementation of clinical research findings in practice settings. Technology can address the quality gap in health care by providing automated decision support to clinicians that integrates guideline knowledge with electronic patient data to present real-time, patient-specific recommendations. However, technical success in implementing decision support systems may not translate directly into system use by clinicians. Successful technology integration into clinical work settings requires explicit attention to the organizational context. We describe the application of a "sociotechnical" approach to integration of ATHENA DSS, a decision support system for the treatment of hypertension, into geographically dispersed primary care clinics. We applied an iterative technical design in response to organizational input and obtained ongoing endorsements of the project by the organization's administrative and clinical leadership. Conscious attention to organizational context at the time of development, deployment, and maintenance of the system was associated with extensive clinician use of the system.

Academic Medical Centers↗

PubMed2004

Behavioral interventions and cost-effectiveness analysis.

Behavioral health interventions are often gauged with a dichotomous outcome, "success" or "failure." Hidden by this dichotomy is a series of behavior changes that can be followed with the Transtheoretical Model (stages of change). There has been little consideration, however, about whether this information can and should be used in cost-effectiveness analysis. We review the stages of change model and its applications to behavioral health interventions. We then discuss analytical methods for including stages of change, or similar behavior change models, in cost-effectiveness analysis (CEA). This is typically not done but it may be critical for study design and for interpreting CEA results.

Aged↗

PubMed2004

A catalog of dermatology utilities: a measure of the burden of skin diseases.

Utilities are measures of quality of life that reflect the strength of individuals' preferences or values for a particular health outcome. As such, utilities represent a measure of disease burden. The aim of this article is to introduce the concept of utilities to the dermatology community and to present a catalog of dermatology utilities obtained from direct patient interviews. Our data are based on 236 total subjects from Grady Hospital (Atlanta, GA), Stanford Medical Center (Palo Alto, CA), and Parkland Hospital (Dallas, TX). The mean time trade-off utilities ranged from 0.640 for blistering disorders to 1.000 for alopecia, cosmetic, and urticaria. The mean utility across all diagnoses was 0.943. We present utilities for 17 diagnostic categories and discuss the underlying reasons for the significant disease burden that these utilities represent. We also present these dermatology categories relative to noncutaneous diseases to place the cutaneous utilities in perspective and to compare the burden of disease. We have demonstrated that skin diseases have considerable burden of disease and provided a preliminary repository of utility data for future researchers and policy makers.

Cost of Illness↗

PubMed2004

Health-related quality of life in patients with pulmonary arterial hypertension.

STUDY OBJECTIVES: Patients with pulmonary arterial hypertension (PAH) often present with dyspnea and severe functional limitations, but their health-related quality of life (HRQOL) has not been studied extensively. This study describes HRQOL in a cohort of patients with PAH. DESIGN: Cross-sectional study. SETTING: A tertiary care, university hospital-based, pulmonary hypertension (PH) clinic. PARTICIPANTS: We studied HRQOL in 53 patients with PAH (mean age, 47 years; median duration of disease, 559 days). Eighty-three percent were women, 53% received epoprostenol, and 72% reported moderate-to-severe functional limitations with a New York Heart Association class 3 or 4 at enrollment. MEASUREMENTS AND RESULTS: We examined HRQOL by administering the Nottingham Health Profile, Congestive Heart Failure Questionnaire, and Hospital Anxiety and Depression Scale. We used the Visual Analog Scale and standard gamble (SG) techniques to measure preferences for current health (utilities). Compared with population norms, participants reported moderate-to-severe impairment in multiple domains of HRQOL, including physical mobility, emotional reaction, pain, energy, sleep, and social isolation. Mean SG utilities were 0.71, suggesting that, on average, participants were willing to accept a 29% risk of death in order to be cured of PH. CONCLUSIONS: PAH is a devastating condition that affects predominately young women in the prime of their life. Understanding HRQOL and preferences are important in the care and management of these patients. Compared with population norms, patients with PAH have substantial functional and emotional limitations that adversely affect their HRQOL.

Aged↗

PubMed2004

Modeling guidelines for integration into clinical workflow.

The success of clinical decision-support systems requires that they are seamlessly integrated into clinical workflow. In the SAGE project, which aims to create the technological infra-structure for implementing computable clinical practice guide-lines in enterprise settings, we created a deployment-driven methodology for developing guideline knowledge bases. It involves (1) identification of usage scenarios of guideline-based care in clinical workflow, (2) distillation and disambiguation of guideline knowledge relevant to these usage scenarios, (3) formalization of data elements and vocabulary used in the guideline, and (4) encoding of usage scenarios and guideline knowledge using an executable guideline model. This methodology makes explicit the points in the care process where guideline-based decision aids are appropriate and the roles of clinicians for whom the guideline-based assistance is intended. We have evaluated the methodology by simulating the deployment of an immunization guideline in a real clinical information system and by reconstructing the workflow context of a deployed decision-support system for guideline-based care. We discuss the implication of deployment-driven guideline encoding for sharability of executable guidelines.

Decision Making, Computer-Assisted↗

PubMed2004

Evaluation of KNAVE-II: a tool for intelligent query and exploration of patient data.

We present the results of a preliminary evaluation of KNAVE-II, a distributed knowledge-based computational framework for visualization, interpretation, and exploration of longitudinal clinical data and of multiple levels of concepts derivable from these data. KNAVE-II uses a distributed architecture to access at run-time clinical time-oriented data, a domain-specific knowledge base containing properties of the clinical data, and a knowledge-based problem-solving method for computing on-the-fly interpretations of these data. The purpose of the evaluation was to compare efficiency and user satisfaction when answering clinical queries of variable complexity about clinical time-oriented data using KNAVE-II, versus using methods available in standard clinical settings: paper chart or electronic spreadsheet (ESS). Subjects answered high-complexity queries significantly faster using KNAVE-II than when using paper or ESS. User satisfaction with KNAVE-II was significantly superior compared to satisfaction using paper or ESS, based on a standard usability scale. Users also explicitly ranked KNAVE-II as superior to paper and the ESS.

Artificial Intelligence↗

PubMed2004

An intelligent case-adjustment algorithm for the automated design of population-based quality auditing protocols.

We develop a method and algorithm for deciding the optimal approach to creating quality-auditing protocols for guideline-based clinical performance measures. An important element of the audit protocol design problem is deciding which guide-line elements to audit. Specifically, the problem is how and when to aggregate individual patient case-specific guideline elements into population-based quality measures. The key statistical issue involved is the trade-off between increased reliability with more general population-based quality measures versus increased validity from individually case-adjusted but more restricted measures done at a greater audit cost. Our intelligent algorithm for auditing protocol design is based on hierarchically modeling incrementally case-adjusted quality constraints. We select quality constraints to measure using an optimization criterion based on statistical generalizability coefficients. We present results of the approach from a deployed decision support system for a hypertension guideline.

Algorithms↗

PubMed2003

Academic detailing to improve antihypertensive prescribing patterns.

Several studies indicate that treatment of hypertension in the United States does not follow recommendations from expert bodies. We thus implemented a program using academic detailers to increase practitioner compliance with antihypertensive treatment guidelines. Five Veterans Affairs medical facilities including academic medical centers and community based outpatient clinics were chosen for the intervention. Pharmacists were trained as academic detailers, and the intervention included lectures, educational materials, provider profiling, and meetings with 25 to 50 providers each. After intervention, the proportion of hypertensives receiving calcium antagonists decreased from 43% to 38% (P <.001), whereas the proportion receiving a beta blocker or thiazide diuretic increased from 58% to 64% (P <.001). For hypertensive subjects with diabetes mellitus or congestive heart failure, the proportion receiving an angiotensin converting enzyme inhibitor or angiotensin receptor blocker increased from 72% to 76% for the former and from 74% to 78% for the latter (P <.001 for both). Among hypertensive subjects with coronary artery disease an increase in beta blocker use was noted after intervention (P <.001 for change from baseline). Prescribing patterns after academic detailing more closely followed national recommendations.

Academic Medical Centers↗

PubMed2003

Interactive visualization and exploration of time-oriented clinical data using a distributed temporal-abstraction architecture.

KNAVE-II is a system for visualization and exploration of large amounts of time-oriented clinical data and of multiple levels of clinically meaningful abstractions derivable from these data. KNAVE-II uses a distributed temporal-abstraction architecture that integrates a set of knowledge services, each interacting with a domain-specific knowledge source, a set of data-access services, each interacting with a clinical data source, and a computational service for deriving knowledge-based abstractions of the data.

Artificial Intelligence↗

PubMed2003

A Web-Based system for interactive visualization and exploration of time-oriented clinical data and their abstractions.

In this theater-style demonstration, the speakers will demonstrate KNAVE-II, a Web-based distributed system for interactive visualization and exploration of large amounts of time-oriented clinical data from multiple sources, and of clinically meaningful concepts (abstractions) derivable from these data. The KNAVE-II system and its complete underlying architecture provide a solution to the data overload problem.

Artificial Intelligence↗

PubMed2002

Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic.

BACKGROUND: Electronically available data, both administrative, such as outpatient encounter diagnostic data, and clinical, such as problem lists, are being used increasingly for outcome and quality assessment, risk adjustment, and clinical reminder systems. OBJECTIVE: To determine the accuracy of outpatient primary care diagnostic information recorded in administrative and clinical files in a Veterans Affairs VISTA (Veterans Health Information Systems and Technology Architecture) database compared with medical chart notes. STUDY DESIGN: Cross-sectional medical chart review of 148 patients attending a general medicine clinic at a university-affiliated Veterans Affairs hospital for 9 diagnoses relevant to the choice of drug therapy for hypertension. PATIENTS AND METHODS: An administrative file of encounter diagnoses, for a 2-year period, and a clinical file of the problem list maintained by the clinician were the sources of electronic diagnoses. We compared these sources with diagnoses abstracted by medical chart review. We estimated the sensitivity and specificity of each electronic data source for detecting medical chart note diagnoses. RESULTS: The sensitivity for 8 of the 9 study diagnoses was greater than 80% in the administrative file and 49% in the clinical problem list. The specificity was good for the administrative file (91% to 100%) and even better for the clinical file (98% to 100%). CONCLUSIONS: Outpatient encounter diagnoses relevant to hypertension recorded as electronic data had high specificity, and some codes had high sensitivity when collected over multiple visits. The administrative file was more sensitive but less specific than the clinical file. Administrative vs clinical files can be selected to minimize either the false-negative or the false-positive designations, respectively, as dictated by the needs of the quality assessment review.

California↗

PubMedDate not supplied

Invariance and inconsistency in utility ratings.

PURPOSE: To assess utilities of composite health states for dependence in activities of daily living (ADLs) for invariance (i.e., when subjects provide a utility of 1 for all health states) and order inconsistency (i.e., when subjects order their utilities such that their utility for a combination of ADL dependencies is greater than their utility for any subset of the combination). METHODS: Each of the 400 subjects, age 65 y and older, enrolled in one of several regional medical centers of the Kaiser Permanente Medical Care Program of Northern California and provided standard-gamble utilities for single ADL dependencies (e.g., bathing, dressing, continence) and for dependence in 8 other combinations of ADL dependencies. For order-inconsistent responses, the authors calculated the maximum magnitude of inconsistency as the maximum difference between the utility for the combined ADL dependence health state and that of its inconsistent subset. RESULTS: A total of 76 subjects (19%) gave a utility of 1.0 for all health states presented to them; 19 (5%) gave the same utility other than 1.0 for all health states; 130 (33%) gave at least 1 utility < 1.0 and had no order inconsistencies; and 175 (44%) had at least 1 order inconsistency. Invariance was associated with a Mini-Mental Status Examination score < 28.6 (P = 0.01), with education < 12 y (P = 0.004), with race/ethnicity other than non-Hispanic White/Caucasian (P = 0.001), and with shorter time spent on the utility elicitation task (P < 0.0001). Among the inconsistent subjects, 69% had a maximal magnitude of inconsistency that was within 1 standard deviation of the mean utilities. The maximal magnitude of inconsistency was associated with longer time spent on the elicitation task (P < 0.0001) and race/ethnicity other than non-Hispanic White/Caucasian (P = 0.005). The mean (s) utility for dependence in continence among consistent subjects who were not invariant (0.88 [0.24]) was higher than among inconsistent subjects (0.80 [0.27]; P = 0.01). CONCLUSIONS: Invariance and order inconsistencies in utility ratings for complex health states occur frequently. Utilities of consistent subjects may differ from those of inconsistent subjects. Utility assessments should attempt to measure and report these patterns.

Activities of Daily Living↗