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Purpose This paper compares and contrasts the implementation of pharmacist-led services for 3 different sexual and gender minority populations across California, Mississippi, and Florida. Summary Implementation of pharmacist-led services tailored to sexual and gender minorities may be a potential mechanism to address health disparities in these populations. Clinical pharmacists have the potential to provide care with cultural humility and improve health outcomes by optimizing medication regimens, reducing adverse drug events, enhancing medication acquisition, and improving medication adherence. Conclusion The services provided by clinical pharmacists varied across sites and included management of gender-affirming hormone therapy, HIV antiretroviral medication adherence programming, primary care and chronic disease state management, and involvement in care related to mental health, psychiatry, and substance use as well as sexual health. Various legislative and regulatory barriers and differences in scope of practice for pharmacists were also identified. This paper advocates for the expansion of pharmacy-led services and the adoption of a culturally humble approach to patient care. [ABSTRACT FROM AUTHOR]

Unnatural disasters, such as floods and wildfires, are making many areas difficult to inhabit. For relocation to unfold in a safer and more equitable way, it must be done in a manner that (1) aligns with community values in each locality, (2) navigates legal barriers to managed retreat, and (3) creates blue-sky funding for adaptation, including managed retreat planning and implementation. This paper argues that developers continuing to build in climate vulnerable areas could and should help cover the risk of their actions. Part I lays out the legal importance of planning for retreat, as well as the need for initial funding for community-level planning and experienced personnel. Few scholars have explored options for municipalities to fund difficult conversations about and initial steps towards managing retreat. Thus, Part II explores how community benefit agreements between communities and developers in climate-vulnerable areas could play a role in bridging the gap between research and implementation. Part II also introduces the idea of a climate resilience development fee, which could provide the needed blue-sky funding to implement managed retreat. Part III analyzes the validity of a climate resilience impact fee in California and Florida, two states in which the consequences of climate change are severe enough for communities to begin to consider managed retreat. [ABSTRACT FROM AUTHOR]

The important goals of Magnet® hospitals are to create supportive professional nursing care environments. A recently published paper found little difference in work environments between Magnet and non-Magnet hospitals. The aim of this study was to determine whether work environments, staffing, and nurse outcomes differ between Magnet and non-Magnet hospitals. A secondary analysis of data from a 4-state survey of 26,276 nurses in 567 acute care hospitals to evaluate differences in work environments and nurse outcomes in Magnet and non- Magnet hospitals was conducted. Magnet hospitals had significantly better work environments (t = -5.29, P < .001) and more highly educated nurses (t = -2.27, P < .001). Magnet hospital nurses were 18% less likely to be dissatisfied with their job (P <.05) and 13% less likely to report high burnout (P < .05). Magnet hospitals have significantly better work environments than non-Magnet hospitals. The better work environments of Magnet hospitals are associated with lower levels of nurse job dissatisfaction and burnout. [ABSTRACT FROM AUTHOR]

This paper develops and solves a spatiotemporal equilibrium model in which regional wages and house prices are jointly determined with location-to-location migration flows. The agent's optimal location choice and the resultant migration process are shown to be Markovian, with the transition probabilities across all location pairs given as non-linear functions of wage and housing cost differentials, endogenously responding to migration flows. The model can be used for the analysis of spatial distribution of population, income, and house prices, as well as for spatiotemporal impulse response analysis. The model is estimated on a panel of 48 mainland U.S. states and the District of Columbia using the training sample (1976–1999), and shown to fit the data well over the evaluation sample (2000–2014). The estimated model is then used to analyze the size and speed of spatial spill-over effects by computing spatiotemporal impulse responses of positive productivity and land-supply shocks to California, Texas, and Florida. Our simulation results show that states with a lower level of land-use regulation can benefit more from positive state-specific productivity shocks; and positive land-supply shocks are much more effective in states, such as California, that are subject to more stringent land-use regulations. • We propose a spatiotemporal equilibrium model of the housing market. • The dynamics of location-to-location migration flows are explicitly modeled. • The estimated model is used to analyze the size and speed of spatial spill-over effects. • States with less land-use regulation benefit more from positive productivity shocks. • Land-supply shocks are more effective in states with stringent land-use regulations. [ABSTRACT FROM AUTHOR]

• This paper develops SPFs at different aggregation levels for freeways by using microscopic traffic detector data. • The effects of average speed and speed variation on crash frequencies are revealed at different aggregation levels. • The time-of-day operation status of HOV lanes is introduced to the disaggregated SPFs. • The safety performance of HOV lanes at different aggregation levels are evaluated and compared. • The transferability of SPFs at different aggregation levels between Florida, Virginia, and California is evaluated. Safety Performance Functions (SPFs) have been widely used by researchers and practitioners to conduct roadway safety evaluation. Traditional SPFs are usually developed by using annual average daily traffic (AADT) along with geometric characteristics. However, the high level of aggregation may lead to a failure to capture the temporal variation in traffic characteristics (e.g., traffic volume and speed) and crash frequencies. In this study, SPFs at different aggregation levels were developed based on microscopic traffic detector data from California, Florida, and Virginia. More specifically, five aggregation levels were considered: (1) annual average weekday hourly traffic (AAWDHT), (2) annual average weekend hourly traffic (AAWEHT), (3) annual average weekday peak/off-peak traffic (AAWDPT), (4) annual average day of the week traffic (AADOWT), and (5) annual average daily traffic (AADT). Model estimation results showed that the segment length and volume, as exposure variables, are significant across all the aggregation levels. Average speed is significant with a negative coefficient, and the standard deviation of speed was found to be positively associated with the crash frequency. It is noteworthy that the operation of the high occupancy vehicle (HOV) lanes was found to have a positive effect on crash frequency across all the aggregation levels. The model results also showed that the AAWDPT and AADOWT models consistently performed better (the improvements range from 3.14%–16.20%) than the AADT-based SPF, which implies that the differences between the day of the week and peak/off-peak periods should be considered in the development of crash prediction models. The model transferability results indicated that the SPFs between Florida and Virginia are transferrable, while the models between California and the other two states are not transferrable. [ABSTRACT FROM AUTHOR]