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Results for “Reminder Systems”

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At least 73 records · Page 4Linked to original sources
PubMed1984

Evaluation of a computer-assisted medication refill reminder system for improving patient compliance.

Computer-generated refill reminder notices were mailed to patients receiving continual medication for cardiovascular diseases to measure improved compliance and to discover whether a computer-assisted program was economically viable. Guidelines were established to define compliance. A computer-assisted compliance intervention program did not significantly improve the rate at which patients had their prescriptions filled "on time" and the mean compliance rate for both experimental and control groups was greater than 79%. Also discussed were cost and compliance strategy implications and the receptiveness of patients to the reminder program.

Analysis of Variance↗
PubMed2003

A computerized reminder system improves compliance with Papanicolaou smear recommendations in an HIV care clinic.

Current guidelines call for Papanicolaou (Pap) smear screening of HIV-infected women at least annually. After the initiation of a weekly computer based Pap smear reminder list in an HIV care clinic, the prevalence of scheduled women with up-to-date Pap smears was calculated for the one-year project period and was compared to the prevalence preceding the project. The prevalence of scheduled women with up-to-date Pap smears increased from 61.4% to 73.2% (P <0.001) during the project period. Including Pap smears that were performed elsewhere, the final up-to-date Pap smear rate was 82.7%. The improved rate of up-to-date Pap smears showed no sign of attenuation over time. A computerized report generated from data in the hospital information system increased rates of compliance with Pap smear screening recommendations. Creative utilization of hospital data environments may be an inexpensive route to improved compliance with practice guidelines.

Adult↗
PubMed2000

A test ordering system with automated reminders for primary care based on practice guidelines.

In this article we describe a real-time automated reminder system that has been developed to change Family Physicians' (FP) test ordering behavior. The system focuses on the appropriateness of test requests. We aim at using the system as a substitute for written feedback by human experts. The reminder system consists of a knowledge base, an order entry system and modules to provide passive and active support in the form of reminders to FPs. The system generates critical comments about the rationality of the test requests at the moment the FP orders a test that is not in line with national or regional guidelines. For the first validation of the knowledge base we compared the comments of a human expert to the comments of the reminder system on three random samples of test requests. The overall agreement in the subsequent validation rounds was 46, 60 and 69%. The corrections made in the knowledge base after each validation round resulted in a reminder system with 149 reminders concerning various medical problems. Due to the corrections in the knowledge base the reminder system reacts better over the subsequent validation rounds.

Diagnostic Tests, Routine↗
PubMed1999

A strategy for developing practice guidelines for the ICU using automated knowledge acquisition techniques.

OBJECTIVES: To implement practice guideline entry tools in a reminder system in order to provide decision support to health care workers in clinical care and emergency care environments. To design a knowledge acquisition environment that enables physicians to formulate, update, and verify guidelines without the assistance of a knowledge engineer. METHODS: We developed a knowledge acquisition environment for the Intensive Care Unit (ICU) consisting of 1) a graphical knowledge acquisition tool, 2) tools that perform logical and semantic tests on proposed guidelines, 3) a Patient Data Management System (PDMS) containing clinical patient data, and 4) an expert system that reminds ICU health care workers of inconsistencies between a treatment plan and implemented guidelines. Physicians enter the guidelines using the knowledge acquisition tool, after which consistency and correctness tests are performed on the guidelines. The guidelines are then transferred to the knowledge base of the reminder system and validated by applying the new guidelines to a large stored data set of previous patients. If the new guidelines are approved, they are exported to the reminder system that is used in daily practice. RESULTS: ICU physicians used the knowledge acquisition tool to enter 58 guidelines into the reminder system's knowledge base. These guidelines were tested on a data set consisting of 803 previously admitted patients. As a result, 27 guidelines fired at least once, generating 406 reminders in total. Of the 406 generated reminders, 356 (88%) were issued correctly and 50 (12%) were false alarms. The reminders that were issued correctly involved 3 situations: 1) the database contained inconsistent or incomplete information, 2) the actions or decisions of the health care workers were not the most appropriate ones, and 3) there was a potential risk involved. All false alarms were caused by the fact that the corresponding guidelines were not specific enough to handle certain exceptions. As a result of this analysis, the guidelines could be improved in such a way as to eliminate all false alarms. CONCLUSIONS: These first results demonstrate that this bottom-up knowledge acquisition strategy, implemented by the automated knowledge acquisition tools, enables medical specialists to improve the quality of computer support in an ICU without assistance of a knowledge engineer.

Artificial Intelligence↗
PubMed1991

A single-subject approach to evaluating vehicle safety belt reminders: Back to basics.

A single-subject ABA reversal design was applied to evaluate the effectiveness of a limited 8-s safety belt reminder system and two modified reminder systems (a delayed and second reminder) to increase the safety belt use of 13 drivers. The research was conducted with a specially equipped research vehicle that permitted the manipulation of different safety belt reminder stimuli and the unobtrusive recording of a driver's belt use. For 2 subjects, the limited 8-s reminder increased safety belt use. For another 2 subjects, the second reminder markedly increased belt use. Some subjects were uninfluenced by the reminder systems presented; others always buckled up during both baseline and intervention conditions. The approach and results are discussed with regard to the application of behavior analysis methodologies (e.g., cumulative records) and principles (e.g., schedules of reinforcement) to advance the utility and investigation of safety belt reminder systems.

Journal Article↗
PubMed2001

Process evaluation of a tailored multifaceted approach to changing family physician practice patterns improving preventive care.

BACKGROUND: We conducted a process evaluation of a multifaceted outreach facilitation intervention to document the extent to which the intervention was implemented with fidelity. We also hoped to gain insight into how facilitation worked to improve preventive performance. METHODS: We used 5 data collection tools to evaluate the implementation of the intervention, and a combination of descriptive, quantitative, and qualitative analyses. Triangulation was used to attain a complete understanding of the quality of implementation. Twenty-two intervention practices with a total of 54 physicians participated in a randomized controlled trial that took place in Southwestern Ontario, Canada. The key measures of process were the frequency and time involved to deliver intervention components, the scope of the delivery and the utility of the components, and physician satisfaction with the intervention. RESULTS: Of the 7 components in the intervention model, prevention facilitators (PFs) visited the practice most often to deliver the audit and feedback, consensus building, and reminder system components. All the study practices received preventive performance audit and feedback, achieved consensus on a plan for improvement, and implemented a reminder system. Ninety percent of the practices implemented a customized flow sheet, and 10% used a computerized reminder system. Ninety-five percent of the intervention practices wanted critically appraised evidence for prevention, 82% participated in a workshop with opinion leaders in preventive care, and 100% received patient education materials in a binder. Content analysis of the physician interviews and bivariate analysis of physician self-reported changes between intervention and control group physicians revealed that the audit and feedback, consensus building, and development of reminder systems were the key intervention components. Ninety-five percent of the physicians were either satisfied or very satisfied with the intervention, and 90% would have been willing to have the PF continue working with their practice. CONCLUSIONS: Primary care practices in Ontario can implement significant changes in their practice environments that will improve preventive care activity with the assistance of a facilitator. The main components for creating change are audit and feedback of preventive performance, achieving consensus on a plan for improvement, and implementing a reminder system.

Family Practice↗