scholarly journals Design, adaptation, and diffusion of an innovative tool to promote shared contraceptive decision-making: Balanced Counseling Strategy Plus

2022 ◽  
Vol 6 ◽  
pp. 2
Author(s):  
Charlotte E Warren ◽  
Tracy L McClair ◽  
Karen R Kirk ◽  
Charity Ndwiga ◽  
Eileen A Yam
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Implementation Science ◽  
Scale Up ◽  
Science Research ◽  
Decision Support Tools ◽  
Joint Decision ◽  
Hiv Prevention Strategies ◽  
Support Tools ◽  
Counseling Strategy

Contraceptive decision-making is highly complex, and family planning (FP) clients choose methods according to a host of personal, interpersonal, and context-specific considerations. These include concerns about side effects, confidence in their ability to adhere to daily or monthly use, efficacy of methods, partner support, and HIV vulnerability. FP decision support tools can support FP clients and providers to engage in a joint decision-making process to ensure clients make informed choices about contraception. For more than two decades, the Balanced Counseling Strategy (BCS) and Balanced Counseling Strategy Plus (BCS+) decision support tools have been used in lower- and middle-income countries, informed by implementation science research and iterative updates and refinements to reflect new developments in contraceptive technology and HIV prevention strategies. To inform the development and scale-up of future FP decision support tools, as well as share lessons from translating implementation science results to practice, this article describes the development, evaluation, and proliferation of BCS and BCS+.

scholarly journals Decision support tools to improve cancer diagnostic decision making in primary care: a systematic review

2019 ◽  
Vol 69 (689) ◽  
pp. e809-e818 ◽  
Author(s):  
Sophie Chima ◽  
Jeanette C Reece ◽  
Kristi Milley ◽  
Shakira Milton ◽  
Jennifer G McIntosh ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Decision Making ◽  
Decision Support ◽  
Cost Effectiveness ◽  
Cancer Diagnosis ◽  
Decision Support Tools ◽  
Diagnostic Decision ◽  
Support Tools ◽  
Diagnostic Decision Making

BackgroundThe diagnosis of cancer in primary care is complex and challenging. Electronic clinical decision support tools (eCDSTs) have been proposed as an approach to improve GP decision making, but no systematic review has examined their role in cancer diagnosis.AimTo investigate whether eCDSTs improve diagnostic decision making for cancer in primary care and to determine which elements influence successful implementation.Design and settingA systematic review of relevant studies conducted worldwide and published in English between 1 January 1998 and 31 December 2018.MethodPreferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched, and a consultation of reference lists and citation tracking was carried out. Exclusion criteria included the absence of eCDSTs used in asymptomatic populations, and studies that did not involve support delivered to the GP. The most relevant Joanna Briggs Institute Critical Appraisal Checklists were applied according to study design of the included paper.ResultsOf the nine studies included, three showed improvements in decision making for cancer diagnosis, three demonstrated positive effects on secondary clinical or health service outcomes such as prescribing, quality of referrals, or cost-effectiveness, and one study found a reduction in time to cancer diagnosis. Barriers to implementation included trust, the compatibility of eCDST recommendations with the GP’s role as a gatekeeper, and impact on workflow.ConclusioneCDSTs have the capacity to improve decision making for a cancer diagnosis, but the optimal mode of delivery remains unclear. Although such tools could assist GPs in the future, further well-designed trials of all eCDSTs are needed to determine their cost-effectiveness and the most appropriate implementation methods.

Opportunities and Strategies to Incorporate Ecosystem Services Knowledge and Decision Support Tools into Planning and Decision Making in Hawai‘i

2015 ◽  
Vol 55 (4) ◽  
pp. 884-899 ◽  
Author(s):  
Leah L. Bremer ◽  
Jade M. S. Delevaux ◽  
James J. K. Leary ◽  
Linda J. Cox ◽  
Kirsten L. L. Oleson
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Ecosystem Services ◽  
Decision Support Tools ◽  
Support Tools

The role of depression pharmacogenetic decision support tools in shared decision making

2017 ◽  
Vol 126 (1) ◽  
pp. 87-94 ◽  
Author(s):  
Katarina Arandjelovic ◽  
Harris A. Eyre ◽  
Eric Lenze ◽  
Ajeet B. Singh ◽  
Michael Berk ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Shared Decision Making ◽  
Decision Support Tools ◽  
Shared Decision ◽  
Support Tools

A Knowledge-Based Imaging Informatics Approach for Managing Proton Beam Therapy of Cancer Patients

2007 ◽  
Vol 6 (4_suppl) ◽  
pp. 77-84 ◽  
Author(s):  
Brent J. Liu
Keyword(s):  
Decision Making ◽  
Radiation Therapy ◽  
Decision Support ◽  
Treatment Planning ◽  
Imaging Informatics ◽  
Patient Treatment ◽  
Decision Support Tools ◽  
Knowledge Based ◽  
Support Tools ◽  
Dicom Rt

The need for a unified patient-oriented information system to handle complex proton therapy (PT) imaging and informatics data during the course of patient treatment is becoming steadily apparent due to the ever increasing demands for better diagnostic treatment planning and more accurate information. Currently, this information is scattered throughout each of the different treatment and information systems in the oncology department. Furthermore, the lack of organization with standardized methods makes it difficult and time-consuming to navigate through the maze of data, resulting in challenges during patient treatment planning. We present a methodology to develop this electronic patient record (ePR) system based on DICOM standards and perform knowledge-based medical imaging informatics research on specific clinical scenarios where patients are treated with PT. Treatment planning is similar in workflow to traditional radiation therapy (RT) methods such as intensity-modulated radiation therapy (IMRT), which utilizes a priori knowledge to drive the treatment plan in an inverse manner. In March 2006, two new RT objects were drafted in a DICOM-RT Supplement 102 specifically for ion therapy, which includes PT. The standardization of DICOM-RT-ION objects and the development of a knowledge base as well as decision-support tools that can be add-on features to the ePR DICOM-RT system were researched. This methodology can be used to extend to PT and the development of future clinical decision-making scenarios during the course of the patient's treatment that utilize “inverse treatment planning.” We present the initial steps of this imaging and informatics methodology for PT and lay the foundation for development of future decision-support tools tailored to cancer patients treated with PT. By integrating decision-support knowledge and tools designed to assist in the decision-making process, a new and improved “ knowledge-enhanced treatment planning” approach can be realized.

scholarly journals Decision Support Tools for Selecting Organisational Improvement Initiatives: a Review

2018 ◽  
Vol 7 (3.7) ◽  
pp. 153
Author(s):  
Musli Mohammad ◽  
Ligesh Manni Vattiyan ◽  
Mohd Shahir Yahya
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Management Systems ◽  
Decision Support Tools ◽  
Decision Matrix ◽  
Future Studies ◽  
Support Tools ◽  
Improvement Team

Decision support tools are used in many organisations to support organisational decision making activities. However, very limited studies have been found focussing on the decision support tools for selecting organisational improvement initiatives. Improvement initiatives are approaches, management systems, tools and/or techniques that can be used for managing and improving organisations, such as Lean, ISO9001 and Improvement Team. Four existing decision support tools were reviewed and compared. All four decision support tools consist of decision matrix, rating and ranking to assist in selecting appropriate improvement initiative. Finally, several potential future studies have been proposed.  

scholarly journals Are there decision support tools that might strengthen the health system for perinatal care in South African district hospitals? A review of the literature

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ntombifikile Maureen Nkwanyana ◽  
Anna Silvia Voce
Keyword(s):  
South Africa ◽  
Decision Making ◽  
Decision Support ◽  
Health System ◽  
District Hospital ◽  
Perinatal Care ◽  
Decision Support Tools ◽  
Hospital Level ◽  
District Hospitals ◽  
Support Tools

Abstract Background South Africa has a high burden of perinatal deaths in spite of the availability of evidence-based interventions. The majority of preventable perinatal deaths occur in district hospitals and are mainly related to the functioning of the health system. Particularly, leadership in district hospitals needs to be strengthened in order to decrease the burden of perinatal mortality. Decision-making is a key function of leaders, however leaders in district hospitals are not supported to make evidence-based decisions. The aim of this research was to identify health system decision support tools that can be applied at district hospital level to strengthen decision-making in the health system for perinatal care in South Africa. Methods A structured approach, the systematic quantitative literature review method, was conducted to find published articles that reported on decision support tools to strengthen decision-making in a health system for perinatal, maternal, neonatal and child health. Articles published in English between 2003 and 2017 were sought through the following search engines: Google Scholar, EBSCOhost and Science Direct. Furthermore, the electronic databases searched were: Academic Search Complete, Health Source – Consumer Edition, Health Source – Nursing/Academic Edition and MEDLINE. Results The search yielded 6366 articles of which 43 met the inclusion criteria for review. Four decision support tools identified in the articles that met the inclusion criteria were the Lives Saved Tool, Maternal and Neonatal Directed Assessment of Technology model, OneHealth Tool, and Discrete Event Simulation. The analysis reflected that none of the identified decision support tools could be adopted at district hospital level to strengthen decision-making in the health system for perinatal care in South Africa. Conclusion There is a need to either adapt an existing decision support tool or to develop a tool that will support decision-making at district hospital level towards strengthening the health system for perinatal care in South Africa.

scholarly journals Implementing electronic decision-support tools to strengthen healthcare network data-driven decision-making

2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Diego Rios-Zertuche ◽  
Alvaro Gonzalez-Marmol ◽  
Francisco Millán-Velasco ◽  
Karla Schwarzbauer ◽  
Ignez Tristao
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Data Driven ◽  
Network Data ◽  
Decision Support Tools ◽  
Data Driven Decision Making ◽  
Electronic Decision Support ◽  
Healthcare Network ◽  
Support Tools

Wildfire decision support tools: an exploratory study of use in the United States

2020 ◽  
Vol 29 (7) ◽  
pp. 581
Author(s):  
Claire Rapp ◽  
Emily Rabung ◽  
Robyn Wilson ◽  
Eric Toman
Keyword(s):  
United States ◽  
Decision Making ◽  
Decision Support ◽  
The United States ◽  
Strategic Decision ◽  
Incident Management ◽  
Fire Weather ◽  
Decision Support Tools ◽  
Support Tools ◽  
Behaviour Models

In the United States, many decision support tools exist to provide fire managers with weather and fire behaviour information to inform and facilitate risk-based decision-making. Relatively little is known about how managers use these tools in the field and when and how they may serve to influence decisions. To address this gap, we conducted exploratory interviews with 27 wildfire management and fire weather professionals across the United States. Results reveal that barriers to the use of decision support tools are structural and social. Specifically, fire weather and behaviour models may not generate reliable output and managers may not use the information they provide, but technical specialists on incident management teams (IMTs) play an active role in trying to overcome these barriers through their technical expertise and their relationships with other members of the IMT. Although researchers suggest tools such as the Wildland Fire Decision Support System (WFDSS) inform broad, strategic decision-making for line officers and IMTs, our results suggest fire weather and behaviour models are also important for communication and strategic or tactical planning within the IMT, especially for operations. We find that ultimately, managers may make use of fire weather and behaviour models, but they do not dictate decisions.

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