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Using experimental gaming simulations to elicit risk mitigation behavioral strategies for agricultural disease management.

ABSTRACT: Failing to mitigate propagation of disease spread can result in dire economic consequences for agricultural networks. Pathogens like Porcine Epidemic Diarrhea virus, can quickly spread among producers. Biosecurity is designed to prevent infection transmission. When considering biosecurity investments, management must balance the cost of protection versus the consequences of contracting an infection. Thus, an examination of the decision making processes associated with investment in biosecurity is important for enhancing system wide biosecurity. Data gathered from experimental gaming simulations can provide insights into behavioral strategies and inform the development of decision support systems. We created an online digital experiment to simulate outbreak scenarios among swine production supply chains, where participants were tasked with making biosecurity investment decisions. In Experiment One, we quantified the risk associated with each participant's decisions and delineated three dominant categories of risk attitudes: risk averse, risk tolerant, and opportunistic. Each risk class exhibited unique approaches in reaction to risk and disease information. We also tested how information uncertainty affects risk aversion, by varying the amount of visibility of the infection as well as the amount of biosecurity implemented across the system. We found evidence that more visibility in the number of infected sites increases risk averse behaviors, while more visibility in the amount of neighboring biosecurity increased risk taking behaviors. In Experiment Two, we were surprised to find no evidence for differences in behavior of livestock specialists compared to Amazon Mechanical Turk participants. Our findings provide support for using experimental gaming simulations to study how risk communication affects behavior, which can provide insights towards more effective messaging strategies.

SUBMITTER: Clark EM

PROVIDER: S-EPMC7077803 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Using experimental gaming simulations to elicit risk mitigation behavioral strategies for agricultural disease management.

Clark Eric M EM Merrill Scott C SC Trinity Luke L Bucini Gabriela G Cheney Nicholas N Langle-Chimal Ollin O Shrum Trisha T Koliba Christopher C Zia Asim A Smith Julia M JM

PloS one 20200317 3

Failing to mitigate propagation of disease spread can result in dire economic consequences for agricultural networks. Pathogens like Porcine Epidemic Diarrhea virus, can quickly spread among producers. Biosecurity is designed to prevent infection transmission. When considering biosecurity investments, management must balance the cost of protection versus the consequences of contracting an infection. Thus, an examination of the decision making processes associated with investment in biosecurity i ...[more]

PMID: 32182247

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Project description:Mitigating the spread of disease is crucial for the well-being of agricultural production systems. Implementing biosecurity disease prevention measures can be expensive, so producers must balance the costs of biosecurity investments with the expected benefits of reducing the risk of infections. To investigate the risk associated with this decision making process, we developed an online experimental game that simulates biosecurity investment allocation of a pork production facility during an outbreak. Participants are presented with several scenarios that vary the visibility of the disease status and biosecurity protection implemented at neighboring facilities. Certain rounds allowed participants to spend resources to reduce uncertainty and reveal neighboring biosecurity and/or disease status. We then test how this uncertainty affects the decisions to spend simulation dollars to increase biosecurity and reduce risk. We recruited 50 attendees from the 2018 World Pork Expo to participate in our simulation. We compared their performance to an opportunity sample of 50 online participants from the survey crowdsourcing tool, Amazon Mechanical Turk (MTurk). With respect to biosecurity investment, we did not find a significant difference between the risk behaviors of industry professionals and those of MTurk participants for each set of experimental scenarios. Notably, we found that our sample of industry professionals opted to pay to reveal disease and biosecurity information more often than MTurk participants. However, the biosecurity investment decisions were not significantly different during rounds in which additional information could be purchased. To further validate these findings, we compared the risk associated with each group's responses using a well-established risk assessment survey implementing paired lottery choices. Interestingly, we did not find a correlation in risk quantified with simulated biosecurity investment in comparison to the paired lottery choice survey. This may be evidence that general economic risk preferences may not always translate into simulated behavioral risk, perhaps due to the contextual immersion provided by experimental gaming simulations. Online recruitment tools can provide cost effective research quality data that can be rapidly assembled in comparison to industry professionals, who may be more challenging to sample at scale. Using a convenience sample of industry professionals for validation can also provide additional insights into the decision making process. These findings lend support to using online experimental simulations for interpreting risk associated with a complex decision mechanism.

Project description:Background and objectivesLarger weight gain and higher ultrafiltration rates have been associated with poorer outcomes among patients on dialysis. Dietary restrictions reduce fluid-related risk; however, adherence is challenging. Alternative fluid mitigation strategies include treatment time extension, more frequent dialysis, adjunct peritoneal dialysis, and wearable ultrafiltration devices. No data regarding patient preferences for fluid management exist. A survey was designed, tested, and administered to assess patient-stated preferences regarding fluid mitigation.Design, setting, participants, & measurementsA written survey concerning fluid-related symptoms, patient and treatment characteristics, and fluid management preferences was developed. The cross-sectional survey was completed by 600 patients on hemodialysis at 18 geographically diverse ambulatory facilities. Comparisons of patient willingness to engage in volume mitigation strategies across fluid symptom burden, dietary restriction experience, and patient characteristics were performed.ResultsFinal analyses included 588 surveys. Overall, if allowed to liberalize fluid intake, 44.6% of patients were willing to extend treatment time by 15 minutes. Willingness to extend treatment time was incrementally less for longer treatment extensions; 12.2% of patients were willing to add a fourth weekly treatment session, and 13.5% of patients were willing to participate in nocturnal dialysis three nights per week. Patients more bothered by their fluid restrictions (versus less bothered) were more willing to engage in fluid mitigation strategies. Demographic characteristics and symptoms, such as cramping and dyspnea, were not consistently associated with willingness to engage in the proposed strategies. More than 25% of patients were unsure of their dry weights and typical interdialytic weight gains.ConclusionsPatients were generally averse to treatment time extension>15 minutes. Patients more bothered (versus less bothered) by their prescribed fluid restrictions were more willing to engage in volume mitigation strategies. Additional study of patient-stated preferences in hemodialysis treatment practices is needed to guide patient care and identify deficiencies in patient treatment and disease-related knowledge.

Project description:IntroductionThe Veterans Health Administration (VHA) has taken a multifaceted approach to addressing opioid safety and promoting system-wide opioid stewardship.AimTo provide a comprehensive evaluation of current opioid prescribing practices and implementation of risk mitigation strategies in VHA.SettingVHA is the largest integrated health care system in the United States.Program descriptionVHA prescribing data in conjunction with implementation of opioid risk mitigation strategies are routinely tracked and reviewed by VHA's Pharmacy Benefits Management Services (including Academic Detailing Service) and the Pain Management Program Office. Additional data are derived from the Partnered Evidence-Based Policy Resource Center (PEPReC) and from a 2019 survey of interdisciplinary pain management teams at VHA facilities. Prescribing data are reported quarterly until first quarter fiscal year 2020 (Q1FY2020), ending December 31, 2019.Program evaluationVHA opioid dispensing peaked in 2012 with 679,376 Veterans receiving an opioid prescription, and when including tramadol, in 2013 with 869,956 Veterans. Since 2012, the number of Veterans dispensed an opioid decreased 56% and co-prescribed opioid/benzodiazepine decreased 83%. Veterans with high-dose opioids (≥ 100 mg morphine equivalent daily dose) decreased 77%. In Q1FY2020, among Veterans on long-term opioid therapy (LTOT), 91.1% had written informed consent, 90.8% had a urine drug screen, and 89.0% had a prescription drug monitoring program query. Naloxone was issued to 217,469 Veterans and resulted in > 1,000 documented overdose reversals. In 2019, interdisciplinary pain management teams were fully designated at 68%, partially designated at 28%, and not available at 4% of 140 VA parent facilities. Fifty percent of Veterans on opioids at very high risk for overdose/suicide received interdisciplinary team reviews.ImplicationsVHA clinicians have greatly reduced their volume of opioid prescribing for pain management and expanded implementation of opioid risk mitigation strategies.ImpactsVHA's integrated health care system provides a model for opioid stewardship and interdisciplinary pain care.

Dataset Information

Using experimental gaming simulations to elicit risk mitigation behavioral strategies for agricultural disease management.

Publications

Using experimental gaming simulations to elicit risk mitigation behavioral strategies for agricultural disease management.

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