Faculty Opinions recommendation of Alarm system management: evidence-based guidance encouraging direct measurement of informativeness to improve alarm response.

Abstract Background: Scientific evidence is the basis for improving public health; decision-making without sufficient attention to evidence may lead to unpleasant consequences. In recent years, efforts have been made to create more comprehensive guidelines for evidence-based decision-making (EBDM), thus the purpose of the present study was developing a framework for EBDM to make the best decisions concerning to scare resources and too many needs. Methods: The present basic-applied research was a secondary study carried out using qualitative research method in 2019. A Systematic Scoping Review (SSR) was done for the comprehensive review of the existing published studies in this area. This method, according to Arksey and O’Malley approach, consists of five main stages and one optional stage. Results: Based on the SSR, 3751 studies from 7 databases were found, and due to the full-text screening of the studies, 30 final studies were selected for extracting the components and steps of EBDM in Health System Management (HSM). After collecting, synthesizing, and categorizing key information, the framework of EBDM in HSM is developed in the form of four general scopes of inquiring, inspecting, implementing and integrating, which includes 10 main steps and 56 sub-steps. Conclusions: The present framework tries to present a sequential systematic map to achieve evidence-based decision and policy making specially for under developed and developing countries which mostly suffer from applying update and applied evidences in their decision-making process. At the same time, it seems that the present framework tries to synthesize and integrate the fragmented elements of the other models and in this way can be tested by developed countries to improve their EBDM cycle.

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FPGA Alarm System Based on Multi Temperature Sensor

International Journal of Online Engineering (iJOE) ◽

10.3991/ijoe.v13i05.7053 ◽

2017 ◽

Vol 13 (05) ◽

pp. 109

Author(s):

Yubao Xu

Keyword(s):

Temperature Sensor ◽

Large Scale ◽

Digital Signal ◽

Control Signal ◽

Signal Acquisition ◽

Alarm System ◽

Alarm Response ◽

Temperature Signal ◽

Fpga Chip ◽

Warning Lights

The purpose of this study is to achieve real-time acquisition and monitoring of temperature in large-scale industrial or agricultural production scene, and timely detect abnormal temperature. FPGA chip, multi temperature sensor and alarm control module three parts consist of FPGA alarm system obtained based on multi temperature sensor. Multi temperature sensor is used for the acquisition of relevant temperature signal in the production site, and the transmission of the collected data through the way of digital signal chip to the FPGA chip for further processing. The FPGA chip is responsible for the parameter setting, the temperature signal acquisition and the threshold comparison and so on, and according to the data processing result, it can send out the normal response control signal to the alarm module. The alarm module contains the pre-warning lights and the alarm device that it can receive the control signal and realize alarm response. The results showed that the test in planting flowers in greenhouse showed that the system is sensitive in response and small in error of temperature acquisition, in accordance with the requirements for use. As a result, the system can be widely used in the temperature monitoring in the production scene, suitable for being promoted in a variety of occasions needing for monitoring the temperature.

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Mixed Methods for Implementation Research

Child Maltreatment ◽

10.1177/1077559511426908 ◽

2011 ◽

Vol 17 (1) ◽

pp. 67-79 ◽

Cited By ~ 89

Author(s):

Gregory A. Aarons ◽

Danielle L. Fettes ◽

David H. Sommerfeld ◽

Lawrence A. Palinkas

Keyword(s):

Mixed Methods ◽

Child Welfare ◽

Implementation Research ◽

Service Systems ◽

System Management ◽

Dissemination And Implementation ◽

Evidence Based ◽

Staff Retention ◽

Design Data ◽

Quantitative Analyses

Many public sector service systems and provider organizations are in some phase of learning about or implementing evidence-based interventions. Child welfare service systems represent a context where implementation spans system, management, and organizational concerns. Research utilizing mixed methods that combine qualitative and quantitative design, data collection, and analytic approaches are particularly well suited to understanding both the process and outcomes of dissemination and implementation efforts in child welfare systems. This article describes the process of using mixed methods in implementation research and provides an applied example of an examination of factors impacting staff retention during an evidence-based intervention implementation in a statewide child welfare system. The authors integrate qualitative data with previously published quantitative analyses of job autonomy and staff turnover during this statewide implementation project in order to illustrate the utility of mixed method approaches in providing a more comprehensive understanding of opportunities and challenges in implementation research.

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A Signal Detection Analysis of the Effects of Workload, Task-Critical and Likelihood Information on Human Alarm Response

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120504901702 ◽

2005 ◽

Vol 49 (17) ◽

pp. 1513-1517 ◽

Cited By ~ 3

Author(s):

Ernesto A. Bustamante

Keyword(s):

Signal Detection ◽

Response Bias ◽

Secondary Task ◽

Alarm System ◽

Alarm Response ◽

Alarm Signals ◽

Critical Information ◽

Detection Analysis ◽

High Workload ◽

Signal Detection Analysis

The purpose of this study was to examine the effects of task-critical and likelihood information on participants' sensitivity and bias to alarm signals under varying levels of workload. Participants performed a complex primary task at the same time they performed a secondary task. Likelihood information was manipulated through the use of either a Binary Alarm System (BAS) or a Likelihood Alarm System (LAS). As expected, task-critical and likelihood information significantly increased participants' sensitivity, and this varied across workload levels. Participants benefited from task-critical information only when they were interacting with the BAS. However, participants benefited from likelihood information regardless of task-critical information, particularly under high-workload conditions. Furthermore, task-critical information increased participants' response bias under low workload, making them less likely to respond to alarm signals. These results demonstrated the superior advantage of an LAS over a traditional BAS and showed support for the use of an LAS as a way to mitigate the cry-wolf effect above and beyond task-critical information.

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Caring for the Youngest Students: The ABCs of Preschool Nursing

NASN School Nurse ◽

10.1177/1942602x19899703 ◽

2020 ◽

Vol 35 (3) ◽

pp. 147-151 ◽

Cited By ~ 1

Author(s):

Michelle Lynn

Keyword(s):

Immune System ◽

Chronic Disease ◽

Infectious Diseases ◽

Developmental Stage ◽

Special Needs ◽

School Nurse ◽

System Management ◽

Evidence Based ◽

Social And Emotional ◽

Multiple Risks

Caring for the preschool population presents unique challenges for the school nurse. These challenges are multiplied when the population includes those with special needs. Challenges include multiple risks to safety related to developmental stage, increased prevalence of infectious diseases due to the development of the child’s immune system, management of chronic disease because of the student’s ability to comprehend and follow directions, and many social and emotional issues. Using evidence-based strategies, the preschool nurse can gain the confidence to care for the youngest students.

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Dual-Task Performance as a Function of Individual Alarm Validity and Alarm System Reliability Information

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193129604002319 ◽

1996 ◽

Vol 40 (23) ◽

pp. 1237-1241 ◽

Cited By ~ 10

Author(s):

James P. Bliss ◽

Sonya M. Jeans ◽

Heidi J. Prioux

Keyword(s):

Real Time ◽

Undergraduate Students ◽

System Reliability ◽

Tracking Error ◽

Alarm System ◽

Alarm Response ◽

Dual Task Performance ◽

Prior Literature ◽

Response Consistency ◽

Speed Accuracy

Researchers and designers have investigated ways to mitigate the consequences of alarm mistrust, including using redundant information sources to ensure response consistency. Research concerning the benefit of this practice has not considered the operator's prior alarm system knowledge, or the division of attention among multiple tasks. We investigated the influence of real-time individual alarm validity information and prior alarm system reliability information on primary and alarm task responses. One hundred undergraduate students performed a continuous compensatory tracking task while responding to microcomputer-based alarms. Dependent measures included alarm response frequency, speed, accuracy, and appropriateness, and primary task tracking error. Results indicated that participants with real-time alarm validity information responded less frequently, but more appropriately than those without such information. Participants with prior access to alarm system reliability information responded more frequently than those without such information. The results are discussed as they apply to prior literature and alarm system design.

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