Leveraging big data for outdoor recreation management: A case study from the York river in Virginia.

Outdoor recreation is important for improving quality of life, well-being, and local economies, but quantifying its value without direct monetary transactions can be challenging. This study explores combining non-market valuation techniques with emerging big data sources to estimate the value of recreation for the York River and surrounding parks in Virginia. By applying the travel cost method to anonymous human mobility data, we gain deeper insights into the significance of recreational experiences for visitors and the local economy. Results of a zero-inflated Negative Binomial model show a mean consumer surplus value of $26.91 per trip, totaling $15.5 million across nearly 600,000 trips observed in 2022. Further, weekends, holidays, and the summer and fall months are found to be peak visitation times, whereas those with young children and who are Hispanic or over 64 years old are less likely to visit. These findings shed light on various factors influencing visitation patterns and recreation values, including temporal effects and socio-demographics, revealing disparities that warrant targeted efforts for inclusivity and accessibility. Policymakers can use these insights to make informed and sustainable choices in outdoor recreation management, fostering the preservation of natural resources for the benefit of both visitors and the environment.

Providing primary care using an interprofessional collaborative practice model: What clinicians have learned.

This article details a nurse-led, interprofessional collaborative practice (IPCP) model that was developed to provide primary care to a medically indigent population in Birmingham, Alabama. Funding to develop and implement this project came from a federal Nurse Education, Practice, Quality and Retention award to the University of Alabama at Birmingham (UAB) School of Nursing, with additional support coming from the UAB Hospital and Health System. The clinic is housed within a local community-based, non-profit organization and all services, including supplies and pharmaceuticals, are provided free of charge to this vulnerable population. The IPCP model that was developed includes three primary care teams and incorporates faculty clinicians from a variety of disciplines, including nursing, medicine, optometry, nutrition, mental health, social work and informatics. Evaluation of the project has included annual structured interviews of project personnel, a variety of survey instruments completed electronically at various intervals, and assessments by students as well as patients experiencing team-based care. The focus of this article is the qualitative data collected from structured interviews of clinician faculty annually over the three years of the funded project. The learning, understanding and growth that have taken place by the experienced clinicians from multiple disciplines regarding IPCP are detailed.