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D W Bates

Publications and source records attributed to D W Bates.

At least 55 records · Page 3Linked to original sources
PubMed2000

The use of information technology in improving medical performance. Part II. Physician-support tools.

Increasing data from a few sites demonstrate that information technologies can improve physician decision making and clinical effectiveness. For example, computer-based physician order entry systems, automated laboratory alert systems, and artificial neural networks have demonstrated significant reductions in medical errors. In addition, Internet services to disseminate new knowledge and safety alerts to physicians more rationally and effectively are rapidly developing, and telemedicine to improve rural access to specialty services is undergoing substantial growth. However, even technologies demonstrated to yield beneficial effects have not yet achieved widespread adoption, though the pace of change appears to be increasing as the Internet takes hold. Scientific evaluation of many technologies is also lacking, and the dangers of some of these technologies may be underappreciated. Research on the effects of specific technologies should be a priority. Policies should be developed to press information technology companies, such as pharmaceutical and medical device manufacturers, to recognize the importance of clinical evaluation. Research could also analyze the characteristics of effective technologies and of physicians and organizations who implement these technologies effectively.

Biomedical Technology↗
PubMed2000

The use of information technology in improving medical performance. Part I. Information systems for medical transactions.

Investment in medical information technologies reached $15 billion in 1996. However, these technologies have not had the wide impact predicted in streamlining bureaucracy, improving communications, and raising the effectiveness of care. In this series, we identify how such technologies are being used to improve quality and performance, the future directions for advancement, and the policy and research developments required to maximize public benefit from these technologies. Each of these articles focuses on a different type of information technology: (1) information systems to manage medical transactions; (2) physician-support technologies to improve medical practice; and (3) patient-focused technologies designed to change how people manage their own care. This first article of a 3-part series examines the successes of and opportunities for using advanced information systems that track and manage medical transactions for large populations to improve performance. Examples of such systems include: HEDIS, which gathers standardized data from health plans on quality of care; the USQA Health Services Research Program, which tracks treatment patterns and outcomes for 14 million insurance members; Ford's program to collect medical data for over 600,000 employees; and Harvard Pilgrim Health Care's system of computerized laboratory, pharmacy, ambulatory, and hospital admission records for its 1.5 million members. Data from these systems have led to modest improvements in knowledge and practice patterns for some diseases. Significant barriers are slowing efforts to add outcomes data to these databases and broaden the databases to cover larger populations. Nonetheless, existing data in currently evolving systems could be used to greater benefit in tracking public health and in identifying more effective treatments and causes of diseases.

Biomedical Technology↗
PubMed2000

Outcomes of care and resource utilization among patients with knee or shoulder disorders treated by general internists, rheumatologists, or orthopedic surgeons.

PURPOSE: Previous studies have suggested that specialists may achieve better clinical outcomes for patients, albeit often at greater cost. We sought to compare outcomes of care and resource utilization among patients with shoulder or knee problems who were treated by general internists, rheumatologists, and orthopedic surgeons. SUBJECTS AND METHODS: Outpatients with knee or shoulder complaints who were seen by general internists, rheumatologists, or orthopedic surgeons at an academic medical center were administered questionnaires at enrollment in the study and again 3 months later. The questionnaires included validated measures of satisfaction, functional status, and pain severity, as well as resource utilization. We compared baseline clinical characteristics, satisfaction with care, resource utilization, and changes in function and symptoms during 3 months of follow-up among patients who were cared for by the three different types of providers. RESULTS: A total of 534 patients responded to the baseline survey and 436 (82%) to the 3-month follow-up survey. About 60% (n = 323) had knee pain. Orthopedists cared for 40% (n = 211) of the patients, with the remainder treated in approximately equal numbers by general internists or rheumatologists. At baseline, patients of internists had less severe pain (differences of 0.3 to 0.6 points on a 1 to 5 scale, P <0.05) and functional limitations (differences of 0.4 to 0.6 points on a 1 to 5 scale, P <0.0006) than patients of rheumatologists and orthopedic surgeons. Adjusting for baseline differences, there were no significant differences among provider groups in pain relief or functional improvement during follow-up. However, in adjusted analyses, patients with shoulder pain who were cared for by orthopedic surgeons were least satisfied with the office environment [adjusted mean (+/- SD) satisfaction score of 1.6 +/- 0.8 on a 1 to 4 scale for orthopedic surgeons vs 1.3 +/- 0.8 for rheumatologists and 1.4 +/- 0.8 for internists, P = 0.004]. Among patients with knee pain, those treated by rheumatologists and orthopedic surgeons were more satisfied with the doctor-patient interaction (adjusted mean satisfaction scores of 1.1 +/- 0.9 for rheumatologists and 1.2 +/- 0.7 for orthopedic surgeons on a 1 to 4 scale vs 1.4 +/- 0.8 for general internists, P = 0.003). Orthopedic surgeons obtained significantly more radiographs of the knee or shoulder and more magnetic resonance imaging scans of the knee. Rheumatologists performed significantly more aspirations or injection procedures. Among all patients, those treated by rheumatologists were most satisfied with the physician interaction, and those treated by orthopedic surgeons were most satisfied with treatment results. CONCLUSION: The relative benefits of specialist compared with generalist care for patients with knee or shoulder pain depend on the importance attached to resource utilization, patient satisfaction, and health outcomes.

Academic Medical Centers↗
PubMed2000

Predicting acute renal failure after coronary bypass surgery: cross-validation of two risk-stratification algorithms.

BACKGROUND: Acute renal failure (ARF) requiring dialysis after coronary artery bypass grafting (CABG) occurs in 1 to 5% of patients and is independently associated with postoperative mortality, even after case-mix adjustment. A risk-stratification algorithm that could reliably identify patients at increased risk of ARF could help improve outcomes. METHODS: To assess the validity and generalizability of a previously published preoperative renal risk-stratification algorithm, we analyzed data from the Quality Measurement and Management Initiative (QMMI)1 patient cohort. The QMMI includes all adult patients (N = 9498) who underwent CABG at 1 of 12 academic tertiary care hospitals from August 1993 to October 1995. ARF requiring dialysis was the outcome of interest. Cross-validation of a recursive partitioning algorithm developed from the VA Continuous Improvement in Cardiac Surgery Program (CICSP) was performed on the QMMI. An additive severity score derived from logistic regression was also cross-validated on the QMMI. RESULTS: The CICSP recursive partitioning algorithm discriminated well (ARF vs. no ARF) in QMMI patients, even though the QMMI cohort was more diverse. Rates of ARF were similar among risk subgroups in the CICSP tree, as was the overall ranking of subgroups by risk. Using logistic regression, independent predictors of ARF in the QMMI cohort were similar to those found in the CICSP. The CICSP additive severity score performed well in the QMMI cohort, successfully stratifying patients into low-, medium-, high-, and very high-risk groups. CONCLUSIONS: The CICSP preoperative renal-risk algorithms are valid and generalizable across diverse populations.

Acute Kidney Injury↗
PubMed2000

Drug complications in outpatients.

OBJECTIVE: Outpatient drug complications have not been well studied. We sought to assess the incidence and characteristics of outpatient drug complications, identify their clinical and nonclinical correlates, and evaluate their impact on patient satisfaction. DESIGN: Retrospective chart reviews and patient surveys. SETTING: Eleven Boston-area ambulatory clinics. PATIENTS: We randomly selected 2,248 outpatients, 20 to 75 years old. MEASUREMENTS AND MAIN RESULTS: Among 2,248 patients reporting prescription drug use, 394 (18%) reported a drug complication. In contrast, chart review revealed an adverse drug event in only 64 patients (3%). In univariate analyses, significant correlates of patient-reported drug complications were number of medical problems, number of medications, renal disease, failure to explain side effects before treatment, lower medication compliance, and primary language other than English or Spanish. In multivariate analysis, independent correlates were number of medical problems (odds ratio [OR] 1.17; 95% confidence interval [95% CI] 1.05 to 1.30), failure to explain side effects (OR 1.65; 95% CI, 1.16 to 2.35), and primary language other than English or Spanish (OR 1.40; 95% CI, 1.01 to 1.95). Patient satisfaction was lower among patients who reported drug complications (P <.0001). In addition, 48% of those reporting drug complications sought medical attention and 49% experienced worry or discomfort. On chart review, 3 (5%) of the patients with an adverse drug event required hospitalization and 8 (13%) had a documented previous reaction to the causative drug. CONCLUSIONS: Drug complications in the ambulatory setting were common, although most were not documented in the medical record. These complications increased use of the medical system and correlated with dissatisfaction with care. Our results indicate a need for better communication about potential side effects of medications, especially for patients with multiple medical problems.

Adult↗
PubMed2000

Communication breakdown in the outpatient referral process.

OBJECTIVE: To evaluate primary care and specialist physicians' satisfaction with interphysician communication and to identify the major problems in the current referral process. DESIGN: Surveys were mailed to providers to determine satisfaction with the referral process; then patient-specific surveys were e-mailed to this group to obtain real-time referral information. SETTING: Academic tertiary care medical center. PARTICIPANTS: Attending-level primary care physicians (PCPs) and specialists. MEASUREMENTS AND MAIN RESULTS: The response rate for mail surveys for PCPs was 57% and for specialists was 51%. In the mail survey, 63% of PCPs and 35% of specialists were dissatisfied with the current referral process. Respondents felt that major problems with the current referral system were lack of timeliness of information and inadequate referral letter content. Information considered important by recipient groups was often not included in letters that were sent. The response rate for the referral specific e-mail surveys was 56% for PCPs and 53% for specialists. In this e-mail survey, 68% of specialists reported that they received no information from the PCP prior to specific referral visits, and 38% of these said that this information would have been helpful. In addition, four weeks after specific referral visits, 25% of PCPs had still not received any information from specialists. CONCLUSIONS: Substantial problems were present in the referral process. The major issues were physician dissatisfaction, lack of timeliness, and inadequate content of interphysician communication. Information obtained from the general survey and referral-specific survey was congruent. Efforts to improve the referral system could improve both physician satisfaction and quality of patient care.

Ambulatory Care↗
PubMed2000

Diabetes, hemoglobin A(1c), cholesterol, and the risk of moderate chronic renal insufficiency in an ambulatory population.

Moderate chronic renal insufficiency is common, with 12.5 million individuals in the United States estimated to have a creatinine clearance less than 50 mL/min/1.73 m(2). Little is known about the risk factors for moderate chronic renal insufficiency. We studied 1, 428 subjects with Cockcroft-Gault-estimated creatinine clearances greater than 70 mL/min in a hospital-based ambulatory population. Over a mean of 5.7 +/- 1.3 years, 86 subjects developed moderate chronic renal insufficiency, defined as a decrease in creatinine clearance to less than 60 mL/min (1.1 case/100 person-years). Risk factors for moderate chronic renal insufficiency were identified using a proportional hazards model controlling for age, sex, race, systolic blood pressure, and angiotensin-converting enzyme (ACE) inhibitor use. The risk for developing moderate chronic renal insufficiency was associated with diabetes mellitus (relative risk, 2.1; 95% confidence interval [CI], 1.3 to 3.3) and elevated hemoglobin A(1c) levels. Compared with subjects with normoglycemia (hemoglobin A(1c) </= 5.7%), the relative risk for moderate chronic renal insufficiency for patients in the upper quartile of hemoglobin A(1c) (>9.0%) was 2.7 (95% CI, 1.4 to 5.1). The development of moderate chronic renal insufficiency was also independently predicted by elevated maximum serum cholesterol level. Compared with subjects with maximum cholesterol levels of 250 mg/dL or less, the relative risk for those with maximum cholesterol levels greater than 350 mg/dL was 2.4 (95% CI, 1.1 to 5.2). Similar relative risks were obtained when moderate chronic renal insufficiency was defined by the development of an increase in serum creatinine level. Hypercholesterolemia was also associated with moderate chronic renal insufficiency among persons without diabetes. In conclusion, the risk for developing moderate chronic renal insufficiency is increased by diabetes and elevated hemoglobin A(1c) and serum cholesterol levels. Modification of these risk factors may decrease the incidence of moderate chronic renal insufficiency.

Cholesterol↗
PubMed2000

Identifying drug safety issues: from research to practice.

PURPOSE: Adverse drug events (ADEs), or injuries due to drugs, are common and often preventable. However, identifying ADEs, potential ADEs, and medication errors can be a major challenge. In this review, we describe methodologies that have been used to identify these events and give strategies for identification in non-study settings. RESULTS: Methods such as voluntary reporting, chart review, and computerized monitoring for events have been most commonly used in studies of ADEs in inpatients. However, voluntary reporting, the method most hospitals currently use, has a very low yield of events. Chart review is much more sensitive but the costs are prohibitive. Computerized monitoring for ADEs (using rules or triggers) is a high yield and relatively inexpensive strategy that should be adopted by organizations. A limitation of this strategy, however, is that it identifies few medication errors and potential ADEs, which are also important. These can be captured through pharmacy logs, chart review, and direct observation. Once events have been identified, they can be classified by type of event, severity, and preventability. In non-study settings, the most practical method for identifying ADEs is computerized monitoring, and for identifying prescribing errors it is pharmacy logs of interventions. Once problems are found, a structure (either individual or committee) must be in place to classify them, identify opportunities for improvement, and carry out the necessary changes. CONCLUSIONS: Health care organizations have the technology to significantly improve their detection of ADEs, medication errors, and potential ADEs. Identification and subsequent classification of events is crucial for quality efforts to improve patient safety.

Adverse Drug Reaction Reporting Systems↗
PubMed2000

Can history and physical examination be used as markers of quality? An analysis of the initial visit note in musculoskeletal care.

BACKGROUND: The medical record serves as an important source of information regarding the care process, but few studies have examined whether thoroughness of documentation is associated with outcomes. OBJECTIVE: The objectives of this study were to analyze the initial visit note for 513 patients presenting with acute musculoskeletal pain, compare thoroughness of documentation by physician specialty, and determine whether thoroughness of documentation was associated with clinical improvement or patient satisfaction. METHODS: A structured medical record abstraction was performed to examine whether treating physicians documented key historical and physical exam findings. Satisfaction with care, symptom relief, and functional improvement were assessed after 3 months with validated survey instruments. RESULTS: In the initial visit note, 43+/-16% of selected historical findings and 28+/-17% of physical examination findings were documented. Orthopedic surgeons documented 2 to 4 more historical and physical examination items (P <0.01) and assigned more specific diagnoses (P <0.01) than rheumatologists and general internists. Multivariate models showed a very weak association between all aspects of documentation and patient satisfaction with the provider-patient interaction (all partial R2 <0.016) and no association between documentation and 3-month pain relief or functional status. Patients' perception of physician communication was more highly associated with patient satisfaction (P = 0.0001) than was documentation. CONCLUSIONS: No provider types consistently documented many important historical items and physical examination findings. While thoroughness of documentation was not associated with clinical outcomes, there was a very weak relationship between documentation and patient satisfaction with provider-patient interactions.

Acute Disease↗
PubMed2000

Prediction rules for complications in coronary bypass surgery: a comparison and methodological critique.

BACKGROUND: Clinical prediction rules have been developed that use preoperative information to stratify patients according to risk of complications after cardiac surgery. OBJECTIVES: To assess the methodological standards and performance of 7 models. PARTICIPANTS: The validation portion of the Quality Measurement and Management Initiative (QMMI) cohort included a random sample of all adult patients (n = 3,261) who underwent coronary artery bypass grafting (CABG) surgery not involving valvular or other concomitant procedures at 12 medical centers from August 1993 to October 1995. OUTCOME MEASURES: Methodological standards used for model comparison were adapted from published criteria. Model performance was assessed by receiver-operating characteristic (ROC) analysis, and calibration was evaluated with the Hosmer-Lemeshow (HL) statistic and observed-expected plots. METHODS: We performed cross-validation by applying the published criteria for the development of each model to the validation subset of the QMMI cohort and by assessing the performance of each model in discriminating outcomes. RESULTS: Wide variations existed in the methodologies used to develop and validate the 5 additive scores evaluated. Cross-validation of all 5 additive scores revealed degradation in their abilities to discriminate outcomes. The 2 logistic models examined performed similarly to the additive scores examined in predicting mortality. CONCLUSIONS: Substantial variation existed both in the methodologies used to develop models and in the ability of the models to predict outcomes. Models developed at single institutions or using fewer patients may be less generalizable when applied to diverse clinical settings. Additive and logistic regression models performed similarly, as assessed by ROC and HL analyses.

Adult↗
PubMed2000

Appropriateness of prostate-specific antigen testing.

We established criteria for appropriate use of the prostate-specific antigen (PSA) assay and used them to evaluate PSA test utilization at 1 tertiary care institution. During a 6-month period, 2,330 PSA results were reported for outpatients and 95 for inpatients. We reviewed medical records for a random sample of 338 outpatient results (14.51%) and all 95 inpatient results, of which 21% (71/338) of outpatient and 17% (16/95) of inpatient results were inappropriate according to our test utilization criteria. Among outpatients, 52% of tests were done for screening and 19% for monitoring for cancer recurrence. For inpatients, workup for cancer (53/95 [56%]) was the most frequent indication for testing and screening the second (24/95 [25%]). Of tests failing the criteria, 66 (76%) of 87 resulted from excessively frequent and age-inappropriate screening. We assessed the potential effect on clinical outcome if these tests were not performed. Of the 87 tests considered inappropriate, only 1 test result influenced clinical management for patients younger than 75 years. By instituting simple limits on age and frequency, we estimate that 74% (64/87) of the inappropriate tests could have been eliminated.

Adult↗
PubMed2000

Comparison of two knowledge bases on the detection of drug-drug interactions.

This paper describes a drug ordering decision support system that helps with the prevention of adverse drug events by detecting drug-drug interactions in drug orders. The architecture of the system was devised in order to facilitate its use attached to physician order entry systems. The described model focuses in issues related to knowledge base maintenance and integration with external systems. Finally, a retrospective study was performed. Two knowledge bases, developed by different academic centers, were used to detect drug-drug interactions in a dataset with 37,237 drug prescriptions. The study concludes that the proposed knowledge base architecture enables content from other knowledge sources to be easily transferred and adapted to its structure. The study also suggests a method that can be used on the evaluation and refinement of the content of drug knowledge bases.

Artificial Intelligence↗
PubMed2000

Using electronic data to predict the probability of true bacteremia from positive blood cultures.

As part of a project to help physicians make more appropriate treatment decisions, we implemented a clinical prediction rule that computes the probability of true bacteremia for positive blood cultures and displays this information when culture results are viewed online. Prior to implementing the rule, we performed a revalidation study to verify the accuracy of the previously published logistic regression model. We randomly selected 114 cases of positive blood cultures from a recent one-year period and performed a paper chart review with the help of infectious disease experts to determine whether the cultures were true positives or contaminants. Based on the results of this revalidation study, we updated the probabilities reported by the model and made additional enhancements to improve the accuracy of the rule. Next, we implemented the rule into our hospital's laboratory computer system so that the probability information was displayed with all positive blood culture results. We displayed the prediction rule information on approximately half of the 2184 positive blood cultures at our hospital that were randomly selected during a 6-month period. During the study, we surveyed 54 housestaff to obtain their opinions about the usefulness of this intervention. Fifty percent (27/54) indicated that the information had influenced their belief of the probability of bacteremia in their patients, and in 28% (15/54) of cases it changed their treatment decision. Almost all (98% (53/54)) indicated that they wanted to continue receiving this information. We conclude that the probability information provided by this clinical prediction rule is considered useful to physicians when making treatment decisions.

Algorithms↗
PubMed2000

Improving allergy alerting in a computerized physician order entry system.

Computerized physician order entry has been shown to reduce the frequency of serious medication errors. Decision support tools such as alerting functions for patient medication allergy are a key part of these applications. However, optimal performance requires iterative refinement. As systems become increasingly complex, mechanisms to monitor their performance become increasingly critical. We analyzed trend data obtained over a five-year period that showed decreasing compliance to allergy alert functions within computerized order entry. Many medication-allergy pairs were being consistently overridden. Renewal policies affecting reordering narcotics also contributed heavily to this trend. Each factor revealed a system-wide trend that could result in suggestions for policy or software change. Monitoring trends such as these is very important to maintain software correctness and ensure user trust in alerting systems, so users remain responsive to computerized alerts.

Clinical Pharmacy Information Systems↗
PubMed2000

Using diagnoses to describe populations and predict costs.

The Diagnostic Cost Group Hierarchical Condition Category (DCG/HCC) payment models summarize the health care problems and predict the future health care costs of populations. These models use the diagnoses generated during patient encounters with the medical delivery system to infer which medical problems are present. Patient demographics and diagnostic profiles are, in turn, used to predict costs. We describe the logic, structure, coefficients and performance of DCG/HCC models, as developed and validated on three important data bases (privately insured, Medicaid, and Medicare) with more than 1 million people each.

Adolescent↗