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Biomedical subjects

W M Tierney

Publications and source records attributed to W M Tierney.

142 records · Page 8Linked to original sources
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Computerizing guidelines to improve care and patient outcomes: the example of heart failure.

Increasing amounts of medical knowledge, clinical data, and patient expectations have created a fertile environment for developing and using clinical practice guidelines. Electronic medical records have provided an opportunity to invoke guidelines during the everyday practice of clinical medicine to improve health care quality and control costs. In this paper, efforts to incorporate complex guidelines [those for heart failure from the Agency for Health Care Policy and Research (AHCPR)] into a network of physicians' interactive microcomputer workstations are reported. The task proved difficult because the guidelines often lack explicit definitions (e.g., for symptom severity and adverse events) that are necessary to navigate the AHCPR algorithm. They also focus more on errors of omission (not doing the right thing) than on errors of commission (doing the wrong thing) and do not account for comorbid conditions, concurrent drug therapy, or the timing of most interventions and follow-up. As they stand, the heart failure guidelines give good general guidance to individual practitioners, but cannot be used to assess quality or care without extensive "translation" into the local environment. Specific recommendations are made so that future guidelines will prove useful to a wide range of prospective users.

Algorithms↗
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A randomized trial of "corollary orders" to prevent errors of omission.

OBJECTIVE: Errors of omission are a common cause of systems failures. Physicians often fail to order tests or treatments needed to monitor/ameliorate the effects of other tests or treatments. The authors hypothesized that automated, guideline-based reminders to physicians, provided as they wrote orders, could reduce these omissions. DESIGN: The study was performed on the inpatient general medicine ward of a public teaching hospital. Faculty and housestaff from the Indiana University School of Medicine, who used computer workstations to write orders, were randomized to intervention and control groups. As intervention physicians wrote orders for 1 of 87 selected tests or treatments, the computer suggested corollary orders needed to detect or ameliorate adverse reactions to the trigger orders. The physicians could accept or reject these suggestions. RESULTS: During the 6-month trial, reminders about corollary orders were presented to 48 intervention physicians and withheld from 41 control physicians. Intervention physicians ordered the suggested corollary orders in 46.3% of instances when they received a reminder, compared with 21.9% compliance by control physicians (p < 0.0001). Physicians discriminated in their acceptance of suggested orders, readily accepting some while rejecting others. There were one third fewer interventions initiated by pharmacists with physicians in the intervention than control groups. CONCLUSION: This study demonstrates that physician workstations, linked to a comprehensive electronic medical record, can be an efficient means for decreasing errors of omissions and improving adherence to practice guidelines.

Decision Making, Computer-Assisted↗
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Effects of computer-based prescribing on pharmacist work patterns.

OBJECTIVE: To measure the effect of computer-based outpatient prescription writing by internal medicine physicians on pharmacist work patterns. DESIGN: Work sampling at a hospital-based outpatient pharmacy. Data were collected from pharmacists wearing silent, random-signal generators before and after the implementation of computer-based prescribing. MEASUREMENTS: The type of work performed by pharmacists (activity), the reason for their work (function), and the people they contacted (contact) were measured. RESULTS: Total staff hours and prescriptions handled were similar before and after computer-based prescribing. Pharmacists recorded 4,687 observations before and 4,735 observations after implementation of computer-based outpatient prescription writing. After implementation, pharmacists spent 12.9 percent more time correcting prescription problems, had 3.9 percent less idle time, and spent 2.2 percent less time in discussions with others. Pharmacists also spent 34.0 percent less time filling prescriptions, 45.8 percent more time in problem-solving activities involving prescriptions, and 3.4 percent less time providing advice. Over 80 percent of pharmacist time was spent working alone both before and after computer-based outpatient prescription writing. CONCLUSION: Computer-based prescribing results in major changes in the type of work done by hospital-based outpatient pharmacists and in the reason for their work and small changes in the people contacted during their work.

Clinical Pharmacy Information Systems↗
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Pilot study of a point-of-use decision support tool for cancer clinical trials eligibility.

Many adults with cancer are not enrolled in clinical trials because caregivers do not have the time to match the patient's clinical findings with varying eligibility criteria associated with multiple trials for which the patient might be eligible. The authors developed a point-of-use portable decision support tool (DS-TRIEL) to automate this matching process. The support tool consists of a hand-held computer with a programmable relational database. A two-level hierarchic decision framework was used for the identification of eligible subjects for two open breast cancer clinical trials. The hand-held computer also provides protocol consent forms and schemas to further help the busy oncologist. This decision support tool and the decision framework on which it is based could be used for multiple trials and different cancer sites.

Adult↗
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Controlled trial of direct physician order entry: effects on physicians' time utilization in ambulatory primary care internal medicine practices.

OBJECTIVE: Direct physician order entry (POE) offers many potential benefits, but evidence suggests that POE requires substantially more time than traditional paper-based ordering methods. The Medical Gopher is a well-accepted system for direct POE that has been in use for more than 15 years. The authors hypothesized that physicians using the Gopher would not spend any more time writing orders than physicians using paper-based methods. DESIGN: A randomized controlled trial of POE using the Medical Gopher system in 11 primary care internal medicine practices. MEASUREMENTS: The authors collected detailed time use data using time motion studies of the physicians and surveyed their opinions about the POE system. RESULTS: The authors found that physicians using the Gopher spent 2.2 min more per patient overall, but when duplicative and administrative tasks were taken into account, physicians were found to have spent only 0.43 min more per patient. With experience, the order entry time fell by 3.73 min per patient. The survey revealed that the physicians believed that the system improved their patient care and wanted the Gopher to continue to be available in their practices. CONCLUSIONS: Little extra time, if any, was required for physicians to use the POE system. With experience in its use, physicians may even save time while enjoying the many benefits of POE.

Attitude of Health Personnel↗
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Physicians' estimates of the probability of myocardial infarction in emergency room patients with chest pain.

To evaluate the ability of emergency room physicians to estimate the probability of myocardial infarction in patients with acute chest pain, the authors gathered historical, physical, and electrocardiographic information from 492 patients at the time of their presentation. The physicians admitted 30% of them to intensive care: 53 of the 61 patients with infarctions (sensitivity = 87%) and 96 of the 431 without infarctions (specificity = 78%). Overall, 36% of those admitted had infarctions. The physicians' numeric estimate of the probability of infarction was a good univariate discriminator of infarction, as demonstrated by Receiver Operator Characteristics analysis, and, as indicated by their actual operating point, they seemed to maximize the accuracy of patient classification rather than sensitivity or specificity. Logistic regression analysis identified the physicians' probability estimate as the strongest multivariate predictor of infarction, considering all other clinical information available.

Adult↗
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Validation of probabilistic predictions.

Current advances in high-speed computing and increased availability of statistical software have led to widespread use of statistical methods for the development of computerized protocols predictive of binary health outcomes. If these predictive algorithms are to be used in settings other than those for which they were developed, e.g., applied in a different geographic setting or extrapolated for use in a slightly different population, then they should be carefully validated to ensure appropriate application. Miller et al. (Stat Med. 1991) provided a comprehensive methodology for external validation of logistic prediction models, and applied these methods in a temporal validation setting. In this article, the authors emphasize how these methods can be applied to general forms of probabilistic predictions and provide several SAS macros for computation of the desired statistics.

Adolescent↗
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Effects of computer reminders for influenza vaccination on morbidity during influenza epidemics.

To study the effects of computer-generated reminders for influenza vaccination of patients at high risk of pulmonary disease during the winter, we selected 4555 such patients from a population of 15,000 adults who participated in a three-year randomized trial of preventive-care reminders. The physicians who received the reminders vaccinated eligible patients twice as often as did the control physicians (P = 0.0001). There was a linear increase in the incidence of influenza in our area during the three winters under study (from 1000 to 33,451 to 71,075 cases per year), and we modeled the percentage of patients with hospitalizations, emergency room visits with chest radiography, and blood gas determinations as a logistic function of this increase. The difference in linear trends between the patients in the intervention group (whose physicians received reminders) and those in the control group was significant for emergency room visits (P less than 0.05), hospitalizations (P less than 0.01), and blood gas determinations (P less than 0.001). The most likely explanation for the difference is the greater use of influenza vaccine in the intervention group.

Aged↗
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Demonstrating the effects of an IAIMS on health care quality and cost.

The importance of demonstrating the effect of integrating electronic medical records into clinical practice, and methods for conducting the studies necessary to do so, are presented as a model that may be applicable to other aspects of the Integrated Advanced Information Management System (IAIMS). Integrated electronic medical record (EMR) systems offer the prospect of both improving the quality of health care by reducing variation in processes and outcomes and lowering its costs. Because such systems are expensive and require time-consuming re-engineering of health care delivery, demonstrating effectiveness should be part of system development. The expected benefits should be demonstrated using the most rigorous study design that the local clinical environment can support. Results of useful studies include both processes and outcomes of care, the latter including both objective and subjective measures. Comprehensive testing of EMR innovations requires a multispecialty team of investigators, adequate funding, and a commitment of both informaticists and clinicians. Demonstrating the beneficial effects of integrated EMR systems will facilitate their incorporation into everyday clinical care.

Cost-Benefit Analysis↗