A framework to improve evidence-informed decision-making in health service management

2012 ◽  
Vol 36 (3) ◽  
pp. 284 ◽  
Author(s):  
Zhanming Liang ◽  
Peter F. Howard ◽  
Sandra G. Leggat ◽  
Gregory Murphy
Keyword(s):  
Decision Making ◽  
Health Service ◽  
Service Management ◽  
Informed Decision ◽  
Management Decision ◽  
Informed Decision Making ◽  
Management Decision Making ◽  
Decision Making Processes ◽  
Research Questions ◽  
Service Managers

Objective. The objective of this paper is to present and provide justification for a framework to improve evidence-informed management decision-making among health service managers. Three research questions informed the study: How have different perspectives influenced how evidence has been defined? What are the barriers to the practice of evidence-informed decision-making (EIDM)? What are the factors that may encourage the application of evidence to guide management decision-making processes? Methods. A literature review was conducted to identify studies that examined the practice of EIDM among health service managers. Information relevant to the three research questions was collectively analysed, compared and contrasted based on their relevance to the EIDM process. Conclusion. Several factors have played different but significant roles in affecting the practice of EIDM among health service managers. Although interaction between these factors is complex, the framework developed in this paper may guide the development of strategies to encourage and improve the utilisation of evidence in management decision-making process. What is known about the topic? EIDM has been promoted as a mechanism for improving the quality of management decisions, and hence better service delivery, effectiveness and efficiency. Previous studies have explored and discussed various factors that may affect the practice of EIDM amongst health service managers. However, a greater understanding of how these factors interact is required so that relevant strategies to promote the increased use of EIDM can be developed. What does this paper add? The paper clarifies ‘evidence’ from the view of both managers and members of the research community. It discusses factors that may affect the practice of EIDM among health service managers and develops a framework to for better understanding of how these factors interact and affect practice at various levels. The framework will guide the development of strategies to encourage the utilisation of evidence among health service managers. What are the implications for practitioners? To encourage the practice of evidence-informed decision-making amongst health service managers, multi-level changes in the system, organisation and individual levels are required. To maximise the benefit and relevance of research evidence, managers should be actively involved in setting research agendas and guiding the appropriate presentation of research findings to meet the needs of potential readers.

scholarly journals Gender differences in senior management decision making in the New England Area Health Service

2004 ◽  
Vol 28 (1) ◽  
pp. 73
Author(s):  
Donna M Anderson
Keyword(s):  
Gender Differences ◽  
Decision Making ◽  
Health Service ◽  
New England ◽  
Management Decision ◽  
Senior Managers ◽  
Area Health Service ◽  
Management Decision Making ◽  
Decision Making Processes ◽  
Area Health

Data from a questionnaire administered to senior managers in the New England Area Health Service (NEAHS) was used to examine gender differences in decision-making processes. The study found that female managers were more likely to report that they included staff in decision-making processes. The small size of the population restricted the statistical analysis; more meaningful findings may result if the study were to be repeated using a larger population of senior managers.

scholarly journals Assessing the Competence of Evidence-Informed Decision-Making Amongst Health Service Managers

2017 ◽  
Vol 12 (3) ◽  
pp. 16-23 ◽  
Author(s):  
Zhangming Liang ◽  
Peter Howard ◽  
Dennis Wollersheim
Keyword(s):  
Decision Making ◽  
Health Service ◽  
Assessment Tool ◽  
Objective Assessment ◽  
Informed Decision ◽  
Competency Assessment ◽  
Informed Decision Making ◽  
Study Objective ◽  
Objective Evidence ◽  
Service Managers

Objective: Evidence-informed decision-making (EIDM) amongst health service managers has been positively linked to better decision outcome, hence more effective healthcare provision. Efforts to improve EIDM practice are required to meet the current challenging healthcare environment. One key step to improve such practices is skill enhancement. The purpose of the study is the measure the competence of mid-level managers in two Victorian hospitals in applying EIDM in their roles. Design: The competence of 25 mid-level managers in applying EIDM in their roles was assessed via a 360° process using an online management competency assessment tool (MCAP Tool) and case-study objective assessment tool. Setting: Mid-level managers working in Victorian hospitals were selected. Main outcome measures: The competence of mid-level managers in applying the competency of EIDM was assessed. This paper discusses the areas of improvement identified in enhancing the competence of EIDM amongst mid-level managers in the group, organisational and individual levels Results: EIDM is an important competency for health service managers. Managers who participated in the assessment are competent in applying EIDM in their roles, but require guidance and improvements. Strengths and weaknesses of managers in applying EIDM in their roles varied between organisations. Conclusion: This paper suggests that not only improvement of specific aspects of evidenceinformed decision-making amongst health service managers are required, additional more systematic changes at the organisational and individual management level are essential to achieve competent evidence-informed decision-making practices amongst health service managers. Abbreviations: CCA – Combined Colleagues; CEO – Chief Executive Officer; EIDM – Evidence Informed Decision Making; OA – Objective Assessment; SA – Self Assessment.

scholarly journals STRUCTURAL MODEL DEVELOPMENT BASED ON EXPERT-PSYCHOLOGICAL APPROACH IN MANAGEMENT DECISION-MAKING PROCESSES

2017 ◽  
Vol 2017 (2) ◽  
pp. 191-195
Author(s):  
Татьяна Карлова ◽  
Tatyana Karlova ◽  
Александр Бекмешов ◽  
Aleksandr Bekmeshov ◽  
Марианна Михайлова ◽  
...  
Keyword(s):  
Decision Making ◽  
Structural Model ◽  
Model Development ◽  
Management Decision ◽  
Psychological Approach ◽  
Management Decision Making ◽  
Decision Making Processes

scholarly journals The Importance Of Cooperation Between Local Representatives And Public Institutions In Management Decision-Making

2021 ◽  
Vol 03 (09) ◽  
pp. 1-9
Author(s):  
Makhsad Isabayev Bakhodirovich ◽  
Keyword(s):  
Decision Making ◽  
Political Institutions ◽  
Public Institutions ◽  
Management Decision ◽  
Scientific Article ◽  
Political Decision ◽  
Management Decision Making ◽  
Decision Making Processes ◽  
Elected Representatives ◽  
Political Decision Making

In this scientific article, international and national legislation on citizens decision-making processes has been investigated, to what extent is the importance of public control in the process of political decision-making, the implementation of citizens' participation in local government directly by itself or through elected representatives (political institutions). Also, practical proposals aimed at increasing the participation of public structures in decision-making were made.

scholarly journals Statistics and Artificial Intelligence-Based Pavement Performance and Remaining Service Life Prediction Models for Flexible and Composite Pavement Systems

2020 ◽  
Vol 2674 (10) ◽  
pp. 448-460
Author(s):  
Orhan Kaya ◽  
Halil Ceylan ◽  
Sunghwan Kim ◽  
Danny Waid ◽  
Brian P. Moore
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Management Decision ◽  
Performance Models ◽  
Remaining Service Life ◽  
Management Decision Making ◽  
Decision Making Processes

In their pavement management decision-making processes, U.S. state highway agencies are required to develop performance-based approaches by the Moving Ahead for Progress in the 21st Century (MAP-21) federal transportation legislation. One of the performance-based approaches to facilitate pavement management decision-making processes is the use of remaining service life (RSL) models. In this study, a detailed step-by-step methodology for the development of pavement performance and RSL prediction models for flexible and composite (asphalt concrete [AC] over jointed plain concrete pavement [JPCP]) pavement systems in Iowa is described. To develop such RSL models, pavement performance models based on statistics and artificial intelligence (AI) techniques were initially developed. While statistically defined pavement performance models were found to be accurate in predicting pavement performance at project level, AI-based pavement performance models were found to be successful in predicting pavement performance in network level analysis. Network level pavement performance models using both statistics and AI-based approaches were also developed to evaluate the relative success of these two models for network level pavement performance modeling. As part of this study, in the development of pavement RSL prediction models, automation tools for future pavement performance predictions were developed and used along with the threshold limits for various pavement performance indicators specified by the Federal Highway Administration. These RSL models will help engineers in decision-making processes at both network and project levels and for different types of pavement management business decisions.

scholarly journals Decision Making for Managing Community Flood Risks: Perspectives of United States Floodplain Managers

2021 ◽  
Author(s):  
Jenna Tyler ◽  
Abdul-Akeem Sadiq ◽  
Douglas S. Noonan ◽  
Rebecca M. Entress
Keyword(s):  
United States ◽  
Decision Making ◽  
Flood Management ◽  
The United States ◽  
Poverty Rate ◽  
Management Decision ◽  
Flood Risks ◽  
Management Decision Making ◽  
Decision Making Processes

AbstractTo reduce flood losses, floodplain managers make decisions on how to effectively manage their community’s flood risks. While there is a growing body of research that examines how individuals and households make decisions to manage their flood risks, far less attention has been directed at understanding the decision-making processes for flood management at the community level. This study aimed to narrow this research gap by examining floodplain managers’ perceptions of the quality of their community’s flood management decision-making processes. Data gathered from interviews with 200 floodplain managers in the United States indicate that most floodplain managers perceive their community’s flood management decision-making processes to be good. The results also indicate that communities participating in the Federal Emergency Management Agency’s Community Rating System, as well as communities with a higher level of concern for flooding and a lower poverty rate, are significantly more likely to report better flood management decision-making processes.

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