The Case for Computational Health Science

Barnes, Michael; Hanson, Carl L.; Giraud‐Carrier, Christophe

doi:10.1007/s41666-018-0024-y

Cited by 6 publications

(2 citation statements)

References 47 publications

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“…The "Obiettivo Antibiotico" Campaign was designed by an interdisciplinary academic team of public health epidemiologists, sociologists, IT, and communication experts, integrating computer science and social sciences for public health: the so-called computational health science approach [16]. This approach allows taking advantage of the opportunities offered by social media and IT to address complex problems, such as AMR, and to inform public health practice directed at changing health behavior and the appropriate antimicrobial usage, through improved surveillance, communication, promotion, and targeted intervention.…”

Section: Campaign Designmentioning

confidence: 99%

The “Obiettivo Antibiotico” Campaign on Prudent Use of Antibiotics in Sicily, Italy: The Pilot Phase

Barchitta

Quattrocchi

Maugeri

et al. 2020

IJERPH

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The issue of antimicrobial resistance (AMR) is a focus of the World Health Organization, which proposes educational interventions targeting the public and healthcare professionals. Here, we present the first attempt at a regionwide multicomponent campaign in Sicily (Italy), called “Obiettivo Antibiotico”, which aims to raise the awareness of prudent use of antibiotics in the public and in healthcare professionals. The campaign was designed by an interdisciplinary academic team, and an interactive website was populated with different materials, including key messages, letters, slogans, posters, factsheets, leaflets, and videos. The campaign was launched in November 2018 and, as of 21 December 2018, the website had a total of 1159 unique visitors, of which 190 became champions by pledging to take simple actions to support the fight against AMR. Data from social media showed that the audience was between 18 and 54 years of age, with a high proportion of female participants (64%). Interestingly, the LinkedIn page received more than 1200 followers, and Facebook 685 followers. The number of actions taken (pledges) by the audience was 458, evenly divided between experts (53%) and the general public (47%). Additional efforts are needed to reach more people, thus future efforts should focus on further promotion within the Sicilian region to sustain the engagement with the campaign.

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Section: Campaign Designmentioning

confidence: 99%

The “Obiettivo Antibiotico” Campaign on Prudent Use of Antibiotics in Sicily, Italy: The Pilot Phase

Barchitta

Quattrocchi

Maugeri

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…Simulation modeling is a robust research methodology for theory development, testing, critique, and refinement. Simulation modeling is a rich, robust, and versatile research tool—dynamic, highly visual, and on the leading edge of health care research [ 23 , 24 ]. As with thought experiments, simulation modeling allows nurse researchers the opportunity to ask a variety of ‘what if’ questions using a deliberate and systematic approach.…”

Section: Simulation Modelingmentioning

confidence: 99%

Simulation Modeling as a Novel and Promising Strategy for Improving Success Rates With Research Funding Applications: A Constructive Thought Experiment

2020

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Writing a successful grant or other funding applications is a requirement for continued employment, promotion, and tenure among nursing faculty and researchers. Writing successful applications is a challenging task, with often uncertain results. The inability to secure funding not only threatens the ability of nurse researchers to conduct relevant health care research but may also negatively impact their career trajectories. Many individuals and organizations have offered advice for improving success with funding applications. While helpful, those recommendations are common knowledge and simply form the basis of any well-considered, well-formulated, and well-written application. For nurse researchers interested in taking advantage of innovative computational methods and leading-edge analytical techniques, we propose adding the results from computer-based simulation modeling experiments to funding applications. By first conducting a research study in a virtual space, nurse researchers can refine their study design, test various assumptions, conduct experiments, and better determine which elements, variables, and parameters are necessary to answer their research question. In short, simulation modeling is a learning tool, and the modeling process helps nurse researchers gain additional insights that can be applied in their real-world research and used to strengthen funding applications. Simulation modeling is well-suited for answering quantitative research questions. Still, the design of these models can benefit significantly from the addition of qualitative data and can be helpful when simulating the results of mixed methods studies. We believe this is a promising strategy for improving success rates with funding applications, especially among nurse researchers interested in contributing new knowledge supporting the paradigm shift in nursing resulting from advances in computational science and information technology.

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Agent-Based Modeling

et al. 2019

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Background For all our successes, many urgent health problems persist, and although some of these problems may be explored with established research methods, others remain uniquely challenging to investigate—maybe even impossible to study in the real world because of practical and pragmatic obstacles inherent to the nature of the research question. Objectives The purpose of this review article is to introduce agent-based modeling (ABM) and simulation and demonstrate its value and potential as a novel research method applied in nursing science. Methods An introduction to ABM and simulation is described. Examples of current research literature on the subject are provided. A case study example of community nursing and opioid dependence is presented. Results The use of ABM and simulation in human health research has increased dramatically over the past decade, and meaningful research is now commonly found published widely in respected, peer-reviewed journals. Absent from this list is innovative ABM and simulation research published by nurse researchers in nursing-specific journals. Discussion ABM and simulation is a powerful method with tremendous potential in nursing research. It is vital that nursing embrace and adopt innovative and advanced research methods if we are to remain a progressive voice in health research, practice, and policy.

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The Case for Computational Health Science

Cited by 6 publications

References 47 publications

The “Obiettivo Antibiotico” Campaign on Prudent Use of Antibiotics in Sicily, Italy: The Pilot Phase

The “Obiettivo Antibiotico” Campaign on Prudent Use of Antibiotics in Sicily, Italy: The Pilot Phase

Simulation Modeling as a Novel and Promising Strategy for Improving Success Rates With Research Funding Applications: A Constructive Thought Experiment

Agent-Based Modeling

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