scholarly journals A Framework of Evidence-Based Decision-Making in Health System Management: A Best-Fit Framework Synthesis and a Scoping Review

2020 ◽  
Author(s):  
Tahereh Shafaghat ◽  
Peivand Bastani ◽  
Mohammad Hasan Imani Nasab ◽  
Mohammad Amin Bahrami ◽  
Zahra Kavosi ◽  
...  
Keyword(s):  
Decision Making ◽  
Health System ◽  
Scoping Review ◽  
Developed Countries ◽  
System Management ◽  
Decision Making Process ◽  
Evidence Based ◽  
Public Health Decision ◽  
Best Fit ◽  
Evidence Based Decision Making

Abstract Background: Scientific evidence is the basis for improving public health; decision-making without sufficient attention to evidence may lead to unpleasant consequences. Despite efforts to create comprehensive guidelines and models for evidence-based decision-making (EBDM), there isn`t any to make the best decisions concerning scarce resources and unlimited needs. The present study aimed to develop a comprehensive applied framework for EBDM. Methods: This was a meta-synthesis including two phases of a Scoping Review (SR) and a Best-Fit Framework (BFF) synthesis conducted in 2019. A scoping review was done for the comprehensive review of the existing published studies in this area. The six-stage approach of Arksey and O’Malley was applied. Six main databases including PUBMED, Scopus, Web of Science, Science Direct, EMBASE, and ProQuest were searched using related keywords. Data were extracted and analyzed via thematic analysis. Results of the scoping review were then synthesized to achieve the best-fit framework applying Carroll et al (2013) approach. Results: Based on the SR, 3751 studies were found, and due to the full-text screening of the studies, 30 final articles 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 was developed in the form of four general scopes. These comprised inquiring, inspecting, implementing, and integrating, which included 10 main steps and 56 sub-steps. Conclusions: The present framework provided a comprehensive guideline that can be well adapted for implementing EBDM in health systems and related organizations especially in underdeveloped and developing countries where there is usually a lag in updating and applying evidence in their decision-making process. In addition, this framework by providing a complete, well-detailed, and sequential process can be tested in the organizational decision-making process by developed countries to improve their EBDM cycle.

scholarly journals A Framework of Evidence-Based Decision-Making in Health System Management: Applying Best-Fit Framework Synthesis

2020 ◽  
Author(s):  
Tahereh Shafaghat ◽  
Peivand Bastani ◽  
Mohammad Hasan Imani Nasab ◽  
Mohammad Amin Bahrami ◽  
Zahra Kavosi ◽  
...  
Keyword(s):  
Decision Making ◽  
Health System ◽  
Scientific Evidence ◽  
Developed Countries ◽  
System Management ◽  
Evidence Based ◽  
Systematic Map ◽  
Public Health Decision ◽  
Secondary Study ◽  
Evidence Based Decision Making

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.

scholarly journals Strengthening evidence-based decision-making: is it possible without improving health system stewardship?

2011 ◽  
Vol 27 (6) ◽  
pp. 499-504 ◽  
Author(s):  
R. Majdzadeh ◽  
B. Yazdizadeh ◽  
S. Nedjat ◽  
J. Gholami ◽  
S. Ahghari
Keyword(s):  
Decision Making ◽  
Health System ◽  
Evidence Based ◽  
Evidence Based Decision Making

scholarly journals Utilizing a time-to-shelf study to start a conversation on change

2015 ◽  
Vol 16 (1) ◽  
pp. 28-33
Author(s):  
Sally Gibson
Keyword(s):  
Decision Making ◽  
Organizational Performance ◽  
Academic Libraries ◽  
Design Methodology ◽  
Decision Making Process ◽  
Evidence Based ◽  
Content Type ◽  
Workflow Analysis ◽  
The Impact ◽  
Evidence Based Decision Making

Purpose – The purpose of this paper is to show the value of benchmarking organizational performance in order to enable conversations about workflow analysis and potential changes. Design/methodology/approach – Data from a time-to-shelf study are compared to literature describing similar studies at other academic libraries which enable the decision-making process for a new workflow. Findings – The results of a time-to-shelf study necessitated a change in workflow. This paper examines how the data enabled staff to agree to changes and supported the decision-making process. Originality/value – This paper examines the impact of evidence-based decision making on the performance and workflow of a technical services department.

scholarly journals Using health data for decision-making at each level of the health system to achieve universal health coverage in Ethiopia: the case of an immunization programme in a low-resource setting

2021 ◽  
Vol 19 (S2) ◽  
Author(s):  
Binyam Tilahun ◽  
Alemayehu Teklu ◽  
Arielle Mancuso ◽  
Berhanu F. Endehabtu ◽  
Kassahun D. Gashu ◽  
...  
Keyword(s):  
Decision Making ◽  
Health System ◽  
Performance Monitoring ◽  
Data Use ◽  
Routine Data ◽  
Health Data ◽  
Evidence Based ◽  
Local Data ◽  
Evidence Based Decision Making ◽  
Different Levels

Abstract Background For evidence-based decision-making, there is a need for quality, timely, relevant and accessible information at each level of the health system. Limited use of local data at each level of the health system is reported to be a main challenge for evidence-based decision-making in low- and middle-income countries. Although evidence is available on the timeliness and quality of local data, we know little about how it is used for decision-making at different levels of the health system. Therefore, this study aimed to assess the level of data use and its effect on data quality and shared accountability at different levels of the health system. Methods An implementation science study was conducted using key informants and document reviews between January and September 2017. A total of 21 key informants were selected from community representatives, data producers, data users and decision-makers from the community to the regional level. Reviewed documents include facility reports, district reports, zonal reports and feedback in supervision from the district. Thematic content analysis was performed for the qualitative data. Results Respondents reported that routine data use for routine decision-making was low. All health facilities and health offices have a performance monitoring team, but these were not always functional. Awareness gaps, lack of motivating incentives, irregularity of supportive supervision, lack of community engagement in health report verification as well as poor technical capacity of health professionals were found to be the major barriers to data use. The study also revealed that there are no institutional or national-level regulations or policies on the accountability mechanisms related to health data. The community-level Health Development Army programme was found to be a strong community engagement approach that can be leveraged for data verification at the source of community data. Conclusion The culture of using routine data for decision-making at the local level was found to be low. Strengthening the capacity of health workers and performance monitoring teams, introducing incentive mechanisms for data use, engaging the community in data verification and introducing accountability mechanisms for health data are essential to improve data use and quality.

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