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Biomedical subjects

Kamisha Hamilton Escoto

Publications and source records attributed to Kamisha Hamilton Escoto.

4 recordsLinked to original sources

Multiple user considerations and their implications in medical error reporting system design.

OBJECTIVE: The study examined the differences between physicians and clinical assistants in their preferences for a statewide medical error reporting system. BACKGROUND: Medical error reporting systems have been proposed as a means for studying the causes of medical error. Knowledge of user similarities and differences is needed for the development of design guidelines for medical error reporting systems. METHOD: Separate focus groups composed of 8 physicians and 6 clinical assistants (physician clinical support staff) were conducted. One-hour focus group meetings were conducted via toll-free teleconference lines one to two times per month for 9 months. All conversations were audiotaped and transcribed for analysis. An inductive content analysis was conducted. RESULTS: Eighty-six major and minor themes emerged. Differences between physicians and clinical assistants included rules and regulations governing the use of the system, the medium of reporting, and aspects of the organization that may affect reporting levels. CONCLUSIONS: Although physicians and clinical assistants shared similar preferences and beliefs surrounding error reporting, there were differences that need to be considered if medical error reporting systems are to be effective. APPLICATION: To successfully deploy a medical error reporting system, the system itself must be designed for the potential users. This study uncovered previously underappreciated issues that should be incorporated into the design and implementation process. Actual or potential applications of this research include the improvement of the design and implementation of medical error reporting systems to account for the needs of different types of users.

Attitude of Health Personnel↗

Toward a theoretical approach to medical error reporting system research and design.

The release of the Institute of Medicine (Kohn et al., 2000) report "To Err is Human", brought attention to the problem of medical errors, which led to a concerted effort to study and design medical error reporting systems for the purpose of capturing and analyzing error data so that safety interventions could be designed. However, to make real gains in the efficacy of medical error or event reporting systems, it is necessary to begin developing a theory of reporting systems adoption and use and to understand how existing theories may play a role in explaining adoption and use. This paper presents the results of a 9-month study exploring the barriers and facilitators for the design of a statewide medical error reporting system and discusses how several existing theories of technology acceptance, adoption and implementation fit with many of the results. In addition we present an integrated theoretical model of medical error reporting system design and implementation.

Equipment Design↗

Using variance analysis to detect hazards in a bar-code-assisted medication preparation process.

BACKGROUND: Medication errors have received significant attention, with studies pinpointing problems in the physician ordering, pharmacy dispensing, and nurse administering processes. Yet, the nursing process for preparing medications, which typically occurs in a medication room on the unit, has not received much attention. This process is deceptively complex, and without proper design, it could break down at numerous points. HUMAN FACTORS ENGINEERING ANALYSIS: Prospective hazard analysis methods allow the detection of potential hazards during the planning, assessment, and design phases of a process or technology. A specific technique-variance analysis-is used within one type of prospective hazard analysis, the sociotechnical systems analysis (STSA). STSA provides guidance to (1) analyze existing or planned systems to understand the social, technical, and environmental system components; (2) collect and analyze the system data; and (3) use the analysis to design or redesign the system. DISCUSSION: The STSA variance analysis is an additional tool that health care clinicians, administrators, and risk managers can use to proactively identify hazards for control. Although this larger analysis is more time consuming, it forces the analysts to conduct a true systems analysis before implementing technical, social, environmental, or organizational changes.

Analysis of Variance↗

Design elements for a primary care medical error reporting system.

PROBLEM CONSIDERED: State and federal initiatives to develop medical error reporting systems are being proposed. For these to lead to an effective error reporting system to improve primary care, the needs of primary care professionals must be understood. METHODS: This study was based on the answers to key questions directed at primary care physicians and clinical assistants. A series of focus groups was held to determine what elements need to be included in the design of a medical error reporting system for ambulatory care. RESULTS: Participants addressed the purposes of an error reporting system, the barriers and motivators to the use of a system, the types of events that should be reported, how the reporting should be done, and how the data should be analyzed and used. During the sessions, 87 different themes emerged that were distilled down to the general principles and operating design elements deemed most important. CONCLUSIONS: The participating physicians and clinical assistants supported a primary care medical error reporting system designed to provide useful information to improve health care. The system should not be punitive.

Focus Groups↗