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Biomedical subjects

L K Gottlieb

Publications and source records attributed to L K Gottlieb.

6 recordsLinked to original sources

Implementing clinical guidelines: a quality management approach to reminder systems.

"Reminders" (timely notices about specific clinical events to physicians or patients) are useful strategies for implementing clinical guidelines. These systems can vary widely in content, design, and purpose. This variability makes it difficult to compare systems or predict a reminder's efficacy in a particular setting. In this article, the authors suggest that too much attention has been paid to proving the efficacy of reminder systems as a general strategy or a comprehensive solution. Rather, the usefulness and effectiveness of reminder systems will be better appreciated when quality management principles are applied to designing, implementing, and maintaining them. Physicians must participate in finding the best solutions for clinical process problems, and reminder systems--when implemented as the "best solution"--must be monitored and improved continually on an ongoing basis to continue to meet physicians' needs.

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Clinical practice guidelines at an HMO: development and implementation in a quality improvement model.

Harvard Community Health Plan (HCHP) is adapting to clinical medicine the managerial principles and methods of quality improvement theory that were originally developed and successfully applied in industrial settings. An essential step in applying the quality improvement cycle to clinical medicine is the setting of standards or specifications for clinical care. HCHP has chosen to focus its standard-setting efforts on the development of clinical algorithms, which provide an excellent basis for specifying and communicating optimal care processes and for evaluating actual clinical care. When implemented effectively, clinical algorithms may improve quality and decrease costs by guiding clinicians toward more standardized, high-quality, cost-effective clinical strategies and by facilitating more valid measurement of clinical process and outcomes. This article describes the evolution, structure, methods, and future agenda of the Algorithm Based Clinical Quality Improvement Process (ABCQIP) at HCHP.

Algorithms

Lengths of stay of patients with uncomplicated acute myocardial infarction at three Boston hospitals: impact of pre-discharge tactics.

Variability in length of stay (LOS) and its determinants were studied in 60 patients without complications after acute myocardial infarction (AMI) at three teaching hospitals. The patients at the three hospitals had similar clinical presentations and in-hospital courses. However, 81% of patients admitted to the intensive care unit (ICU) at one hospital were transferred to lower levels of care within 48 hours, compared with 40% and 56% at the other two hospitals (p less than 0.05). Patients who underwent pre-discharge exercise tests (ETT) had a longer total LOS than patients who did not (11.9 +/- 4.3 vs 9.2 +/- 2.9 days; p less than 0.01). Similarly, patients who underwent 24-hour ambulatory monitoring (AMB-MON) had a longer total LOS than patients who did not (12.3 +/- 4.3 vs 9.1 +/- 2.8 days; p less than 0.001). No differences in clinical characteristics or in survival at six months were detected between patients who did and did not undergo ETT or AMB-MON. Total LOS correlated with whether patients underwent 0, 1, or both of these tests (p less than 0.0001); each test was associated with a 2.3-day increase in the duration of hospitalization. The authors conclude that such tests may prolong total LOS of patients without complications after AMI.

Boston

What's preventing more prevention? Barriers to development at academic medical centers.

OBJECTIVE: To determine the views of leaders in academic medicine concerning the need for programs in preventive medicine (PM) and the prevailing barriers to program development. DESIGN: Structured interviews. SETTING: Medical schools of the United States. PATIENTS/PARTICIPANTS: 90% of deans and chairpersons of departments of medicine and preventive medicine. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: 91% considered academic PM underdeveloped and 100% considered their own programs average or worse. Identified barriers to development included funding constraints, academic partiality to biomedicine, inadequate quality of preventive medicine research and faculty, public preferences for technologic care, and organization of academic medical centers (AMCs). While 80% perceived a shortage of able PM faculty and 60% considered PM research quality to be inadequate, only 12% of PM units gave research training high priority. While 95% of respondents held that AMCs should develop community programs and 75% identified social problems as a cause of chronic diseases, 65% agreed that community programs are not considered scholarly. Only 23% of PM units gave community service high priority. CONCLUSIONS: A policy contradiction exists: academic leadership agreed on the problems and needed changes in PM, yet the problems were often attributed to nonacademic sources, particularly finding and public preferences, and current academic practices commonly fail to address recognized developmental barriers within academic institutions. A chain of barriers is apparent. Breaking the chain may require a change in our understanding of the role of prevention.

Attitude of Health Personnel

The clinical algorithm nosology: a method for comparing algorithmic guidelines.

Concern regarding the cost and quality of medical care has led to a proliferation of competing clinical practice guidelines. No technique has been described for determining objectively the degree of similarity between alternative guidelines for the same clinical problem. The authors describe the development of the Clinical Algorithm Nosology (CAN), a new method to compare one form of guideline: the clinical algorithm. The CAN measures overall design complexity independent of algorithm content, qualitatively describes the clinical differences between two alternative algorithms, and then scores the degree of similarity between them. CAN algorithm design-complexity scores correlated highly with clinicians' estimates of complexity on an ordinal scale (r = 0.86). Five pairs of clinical algorithms addressing three topics (gallstone lithotripsy, thyroid nodule, and sinusitis) were selected for interrater reliability testing of the CAN clinical-similarity scoring system. Raters categorized the similarity of algorithm pathways in alternative algorithms as "identical," "similar," or "different." Interrater agreement was achieved on 85/109 scores (80%), weighted kappa statistic, k = 0.73. It is concluded that the CAN is a valid method for determining the structural complexity of clinical algorithms, and a reliable method for describing differences and scoring the similarity between algorithms for the same clinical problem. In the future, the CAN may serve to evaluate the reliability of algorithm development programs, and to support providers and purchasers in choosing among alternative clinical guidelines.

Algorithms