Mary K. Goldstein

Screening for frailty : criteria and predictors of outcomes

To determine the reliability of rapid screening by clinically derived geriatric criteria in predicting outcomes of elderly hospitalized patients.

Quality improvement strategies for hypertension management: a systematic review.

Background:Care remains suboptimal for many patients with hypertension. Purpose:The purpose of this study was to assess the effectiveness of quality improvement (QI) strategies in lowering blood pressure. Data Sources:MEDLINE, Cochrane databases, and article bibliographies were searched for this study. Study Selection:Trials, controlled before–after studies, and interrupted time series evaluating QI interventions targeting hypertension control and reporting blood pressure outcomes were studied. Data Extraction:Two reviewers abstracted data and classified QI strategies into categories: provider education, provider reminders, facilitated relay of clinical information, patient education, self-management, patient reminders, audit and feedback, team change, or financial incentives were extracted. Data Synthesis:Forty-four articles reporting 57 comparisons underwent quantitative analysis. Patients in the intervention groups experienced median reductions in systolic blood pressure (SBP) and diastolic blood pressure (DBP) that were 4.5 mm Hg (interquartile range [IQR]: 1.5 to 11.0) and 2.1 mm Hg (IQR: −0.2 to 5.0) greater than observed for control patients. Median increases in the percentage of individuals achieving target goals for SBP and DBP were 16.2% (IQR: 10.3 to 32.2) and 6.0% (IQR: 1.5 to 17.5). Interventions that included team change as a QI strategy were associated with the largest reductions in blood pressure outcomes. All team change studies included assignment of some responsibilities to a health professional other than the patients physician. Limitations:Not all QI strategies have been assessed equally, which limits the power to compare differences in effects between strategies. Conclusion:QI strategies are associated with improved hypertension control. A focus on hypertension by someone in addition to the patients physician was associated with substantial improvement. Future research should examine the contributions of individual QI strategies and their relative costs.

Health Outcomes Associated with Polypharmacy in Community‐Dwelling Older Adults: A Systematic Review

To summarize evidence regarding the health outcomes associated with polypharmacy, defined as number of prescribed medications, in older community‐dwelling persons.

Home Blood Pressure Management and Improved Blood Pressure Control Results From a Randomized Controlled Trial

BACKGROUND To determine which of 3 interventions was most effective in improving blood pressure (BP) control, we performed a 4-arm randomized trial with 18-month follow-up at the primary care clinics at a Veterans Affairs Medical Center. METHODS Eligible patients were randomized to either usual care or 1 of 3 telephone-based intervention groups: (1) nurse-administered behavioral management, (2) nurse- and physician-administered medication management, or (3) a combination of both. Of the 1551 eligible patients, 593 individuals were randomized; 48% were African American. The intervention telephone calls were triggered based on home BP values transmitted via telemonitoring devices. Behavioral management involved promotion of health behaviors. Medication management involved adjustment of medications by a study physician and nurse based on hypertension treatment guidelines. RESULTS The primary outcome was change in BP control measured at 6-month intervals over 18 months. Both the behavioral management and medication management alone showed significant improvements at 12 months-12.8% (95% confidence interval [CI], 1.6%-24.1%) and 12.5% (95% CI, 1.3%-23.6%), respectively-but not at 18 months. In subgroup analyses, among those with poor baseline BP control, systolic BP decreased in the combined intervention group by 14.8 mm Hg (95% CI, -21.8 to -7.8 mm Hg) at 12 months and 8.0 mm Hg (95% CI, -15.5 to -0.5 mm Hg) at 18 months, relative to usual care. CONCLUSIONS Overall intervention effects were moderate, but among individuals with poor BP control at baseline, the effects were larger. This study indicates the importance of identifying individuals most likely to benefit from potentially resource intensive programs. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00237692.

Patient education and provider decision support to control blood pressure in primary care: a cluster randomized trial.

BACKGROUND Less than one third of the 65 million Americans with hypertension have adequate blood pressure (BP) control. This study examined the effectiveness of 2 interventions for improving patient BP control. METHODS This was a 2-level (primary care provider and patient) cluster randomized trial with 2-year follow-up occurring among patients with hypertension enrolled from a Veterans Affairs Medical Center primary care clinic. Primary care providers (n = 17) in the intervention received computer-generated decision support designed to improve guideline concordant medical therapy at each visit; control providers (n = 15) received a reminder at each visit. Patients received usual care or a bimonthly tailored nurse-delivered behavioral telephone intervention to improve hypertension treatment. The primary outcome was proportion of patients who achieved a BP <140/90 mm Hg (<130/85 for diabetic patients) over the 24-month intervention. RESULTS Of the 816 eligible patients contacted, 190 refused and 38 were excluded. The 588 enrolled patients had a mean age of 63 years, 43% had adequate baseline BP control, and 482 (82%) completed the 24-month follow-up. There were no significant differences in amount of change in BP control in the 3 intervention groups as compared to the hypertension reminder control group. In secondary analyses, rates of BP control for all patients receiving the patient behavioral intervention (n = 294) improved from 40.1% to 54.4% at 24 months (P = .03); patients in the nonbehavioral intervention group improved from 38.2% to 43.9% (P = .38), but there was no between-group differences at the end of the study. CONCLUSION The brief behavioral intervention showed improved outcomes over time, but there were not significant between group differences.

Following your heart or your head: Focusing on emotions versus information differentially influences the decisions of younger and older adults.

Research on aging has indicated that whereas deliberative cognitive processes decline with age, emotional processes are relatively spared. To examine the implications of these divergent trajectories in the context of health care choices, we investigated whether instructional manipulations emphasizing a focus on feelings or details would have differential effects on decision quality among younger and older adults. We presented 60 younger and 60 older adults with health care choices that required them to hold in mind and consider multiple pieces of information. Instructional manipulations in the emotion-focus condition asked participants to focus on their emotional reactions to the options, report their feelings about the options, and then make a choice. In the information-focus condition, participants were instructed to focus on the specific attributes, report the details about the options, and then make a choice. In a control condition, no directives were given. Manipulation checks indicated that the instructions were successful in eliciting different modes of processing. Decision quality data indicate that younger adults performed better in the information-focus than in the control condition whereas older adults performed better in the emotion-focus and control conditions than in the information-focus condition. Findings support and extend extant theorizing on aging and decision making as well as suggest that interventions to improve decision-making quality should take the age of the decision maker into account.

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.

Information Technology to Support Improved Care For Chronic Illness

BackgroundIn populations with chronic illness, outcomes improve with the use of care models that integrate clinical information, evidence-based treatments, and proactive management of care. Health information technology is believed to be critical for efficient implementation of these chronic care models. Health care organizations have implemented information technologies, such as electronic medical records, to varying degrees. However, considerable uncertainty remains regarding the relative impact of specific informatics technologies on chronic illness care.ObjectiveTo summarize knowledge and increase expert consensus regarding informatics components that support improvement in chronic illness care. Design: A systematic review of the literature was performed. “Use case” models were then developed, based on the literature review, and guidance from clinicians and national quality improvement projects. A national expert panel process was conducted to increase consensus regarding information system components that can be used to improve chronic illness care.ResultsThe expert panel agreed that informatics should be patient-centered, focused on improving outcomes, and provide support for illness self-management. They concurred that outcomes should be routinely assessed, provided to clinicians during the clinical encounter, and used for population-based care management. It was recommended that interactive, sequential, disorder-specific treatment pathways be implemented to quickly provide clinicians with patient clinical status, treatment history, and decision support.ConclusionsSpecific informatics strategies have the potential to improve care for chronic illness. Software to implement these strategies should be developed, and rigorously evaluated within the context of organizational efforts to improve care.

Evaluation of the Acceptability and Usability of a Decision Support System to Encourage Safe and Effective Use of Opioid Therapy for Chronic, Noncancer Pain by Primary Care Providers

OBJECTIVE To develop and evaluate a clinical decision support system (CDSS) named Assessment and Treatment in Healthcare: Evidenced-Based Automation (ATHENA)-Opioid Therapy, which encourages safe and effective use of opioid therapy for chronic, noncancer pain. DESIGN CDSS development and iterative evaluation using the analysis, design, development, implementation, and evaluation process including simulation-based and in-clinic assessments of usability for providers followed by targeted system revisions. RESULTS Volunteers provided detailed feedback to guide improvements in the graphical user interface, and content and design changes to increase clinical usefulness, understandability, clinical workflow fit, and ease of completing guideline recommended practices. Revisions based on feedback increased CDSS usability ratings over time. Practice concerns outside the scope of the CDSS were also identified. CONCLUSIONS Usability testing optimized the CDSS to better address barriers such as lack of provider education, confusion in dosing calculations and titration schedules, access to relevant patient information, provider discontinuity, documentation, and access to validated assessment tools. It also highlighted barriers to good clinical practice that are difficult to address with CDSS technology in its current conceptualization. For example, clinicians indicated that constraints on time and competing priorities in primary care, discomfort in patient-provider communications, and lack of evidence to guide opioid prescribing decisions impeded their ability to provide effective, guideline-adherent pain management. Iterative testing was essential for designing a highly usable and acceptable CDSS; however, identified barriers may limit the impact of the ATHENA-Opioid Therapy system and other CDSS on clinical practices and outcomes unless CDSS are paired with parallel initiatives to address these issues.

Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure

OBJECTIVES Left ventricular ejection fraction (EF) is a key component of heart failure quality measures used within the Department of Veteran Affairs (VA). Our goals were to build a natural language processing system to extract the EF from free-text echocardiogram reports to automate measurement reporting and to validate the accuracy of the system using a comparison reference standard developed through human review. This project was a Translational Use Case Project within the VA Consortium for Healthcare Informatics. MATERIALS AND METHODS We created a set of regular expressions and rules to capture the EF using a random sample of 765 echocardiograms from seven VA medical centers. The documents were randomly assigned to two sets: a set of 275 used for training and a second set of 490 used for testing and validation. To establish the reference standard, two independent reviewers annotated all documents in both sets; a third reviewer adjudicated disagreements. RESULTS System test results for document-level classification of EF of <40% had a sensitivity (recall) of 98.41%, a specificity of 100%, a positive predictive value (precision) of 100%, and an F measure of 99.2%. System test results at the concept level had a sensitivity of 88.9% (95% CI 87.7% to 90.0%), a positive predictive value of 95% (95% CI 94.2% to 95.9%), and an F measure of 91.9% (95% CI 91.2% to 92.7%). DISCUSSION An EF value of <40% can be accurately identified in VA echocardiogram reports. CONCLUSIONS An automated information extraction system can be used to accurately extract EF for quality measurement.