How do behavioral public policy experts see the role of complex systems perspectives? An expert interview study.

Amidst the global momentum of behavioral insights (BI), there has been a shift from mostly nudge-based BI applications to systemic approaches. This is particularly pressing in public health, where interacting issues regularly produce unanticipated consequences. Regardless, little is known about adopting complex systems approaches in behavioral public policy. This study aims to capture current practices of international BI experts on the definition, application, drivers, and hindering factors in adopting complex systems approaches in public policy. Semi-structured individual expert interviews (n = 12) of international BI experts with extensive experience in educating, cooperating with, and/or advising public servants were analyzed with inductive content analysis. While the working definition of BI aligned with published definitions, experts varied in their descriptions of complex systems approaches and its significance for public policy, including socioecological aspects, systematic BI use across policy stages, recognizing intertwined behavior, and lack of ready-made solutions. They emphasized the importance of systems approaches, identifying drivers (e.g. need for a broader focus) and hindrances (e.g. pressure for quick results). Embracing complex systems in behavioral public policy provides a holistic perspective, extending beyond simple nudges, sometimes presumed as universally applicable. While complexity perspectives would align with policymakers' worldview, applications require more work to tailor to local situations and to evaluate. Recognizing that, given their distinct expertise content, BI expertise can be quite different from complex systems expertise. The field would benefit from clear descriptions and specialized training for effective integration and advocacy for these approaches.

In recent years, the use of behavioral insights (BI) in public policy, including health policy, has been shifting from nudges to more comprehensive approaches. This study examines how international BI experts view the use of complex systems approaches in behavioral public policy. Through interviews with 12 experts advising public servants, we found that while BI definitions align with earlier published definitions, experts interpret and apply complex systems approaches differently. Some consider socioecological factors, advocate applying the systematic use of BI throughout the policy cycle, and for some using complex systems approaches means considering intertwined nature of behavioral phenomena and that there are no one-size-fits-all solutions. Experts stress the importance of a systems approach, identifying drivers (e.g. need for a broader focus, experience-based expertise) and hindering factors (e.g. advisory settings, pressure for quick results) in its implementation. This study presents BI's evolving role in public policy, highlighting the need for complex systems approaches to address multifaceted societal challenges.

Design of biodegradable cellulose filtration material with high efficiency and breathability.

Using respiratory protective equipment is one of the relevant preventive measures for infectious diseases, including COVID-19, and for various occupational respiratory hazards. Because experienced discomfort may result in a decrease in the utilization of respirators, it is important to enhance the material properties to resolve suboptimal usage. We combined several technologies to produce a filtration material that met requirements set by a cross-disciplinary interview study on the usability of protective equipment. Improved breathability, environmental sustainability, and comfort of the material were achieved by electrospinning poly(ethylene oxide) (PEO) nanofibers on a thin foam-formed fabric from regenerated cellulose fibers. The high filtration efficiency of sub-micron-sized diethylhexyl sebacate (DEHS) aerosol particles resulted from the small mean segment length of 0.35 µm of the nanofiber network. For a particle diameter of 0.6 µm, the filtration efficiency of a single PEO layer varied in the range of 80-97 % depending on the coat weight. The corresponding pressure drop had the level of 20-90 Pa for the airflow velocity of 5.3 cm/s. Using a multilayer structure, a very high filtration efficiency of 99.5 % was obtained with only a slightly higher pressure drop. This opens a route toward designing sustainable personal protective media with improved user experience.

Basic psychological needs, quality of motivation, and protective behavior intentions: a nationally representative survey study.

Objective: Building on the Self-Determination Theory, this study examines how basic psychological need satisfaction related to COVID-19 behavioral measures is associated with motivation quality and whether motivation quality is associated with intention to wear a face mask and to avoid meeting others. Methods: Cross-sectional survey study involving a nationally representative sample of Finnish adult population aged 18-79 (N = 2272, M age = 48.63, SD = 16.89, 975 men and 1297 women) was conducted in Finland in May 2021 when protective behaviors were recommended to prevent acceleration of the epidemic. Measures included scales of Basic Psychological Need Satisfaction in Adhering to COVID Prevention Measures, Motivation to Adhere to COVID Prevention Measures, Perceived Personal Risk, Fear of COVID-19, and Protective Behavior Intention. Analysis of variance tests, linear regression analysis, and multinomial logistic regression were conducted. Perceived personal risk and fear of COVID-19 were controlled for in the regression analyses. Results: All three psychological needs were positively related to autonomous motivation (all p < .001). Autonomous motivation (range OR = 1.82-3.55, p = .001) was consistently related to intention to wear a mask and intention to avoid meeting people. Controlled motivation (range OR = .66-.93, p = .001-.457) was associated with decreased protective behavior intentions. The effects of amotivation (range OR = .65-1.02, p = .001-.911) varied across analyses. Conclusions: Fostering autonomous motivation could increase adherence to protective behaviors in situations without clear mandates.