Over the past three decades, medical anthropology research, published within both public health and anthropological journals, demonstrates both the prevalence of traditional folk medicine in Latino populations in the United States and the potential difficulty of negotiating these beliefs and practices with clinical, western biomedicine. I bring attention to what might be a narrative of divergent values that occurs in Latino communities in the United States. A well-documented source (Pachter, 1994) of this clash is the culturally pervasive use of folk medicine in Latino layperson populations seeking biomedical care in the Unites States (U.S.). Numerous studies (Padilla, 2001; Koss 1972) suggest that a significant portion of Latinos in the continental United States call upon folk knowledge to diagnose, reinterpret, and treat illness. The Puerto Rican population seems to be no exception, though few studies are specific to native-born Puerto Ricans living in Puerto Rico, where the issue of access to quality public health care becomes increasingly problematic. In this honors undergraduate thesis project, I conduct a review of the literature that bridges anthropology and public health research and proceed to describe a study I conducted on Culebra Island, Puerto Rico in May of 2015. The study aims to determine whether patient satisfaction can be linked to being treated by a physician hailing from a similar cultural background, or if an irredeemable disparity between patient and provider present a roadblock to health outcomes. I found that the Puerto Rican physicians are receptive to folk illness (symptoms) and consider folk therapy as part of the treatment regimen. The physicians make patients feel understood, which might improve treatment adherence and thus health outcomes. Still, respondents demonstrated that there is high patient trust in the biomedical model by emphasizing the use of conventional medications in tandem with the folk therapy. Nevertheless, the health care provider's disposition in regards to folk knowledge and modalities are important but does not present a roadblock to optimal care and health outcomes as much as access, available services or clinic resources.

Community gardens have wide-reaching potential for addressing public health issues. However, of the thousands of gardens located in the United States, many lack rigorous planning and encounter crippling obstacles, like disinterest from community members, soon after implementation. This study created a processual typology to summarize steps in the implementation process for existing gardens described within peer-reviewed, academic journals and offers recommendations for more sustainably planning future garden projects up to ten years in advance. A systematic review was conducted to identify descriptions of community gardens in peer-reviewed, academic literature. A general logic model was used as a basic structure and themes for each step (inputs, activities, outputs, short/long term outcomes, impacts, and methods of evaluation) were summarized from the included studies to construct a processual typology for evaluating community garden implementation in the United States. This typology was then used to assess a case study of a garden in Des Moines, Iowa, which generated the author's interest in conducting this research after assisting with that space through an AmeriCorps community health program. Results showed that existing gardens shared common attributes and could be categorized according to one of two speeds of implementation ("regular" or "accelerated") and according to one of three types of organizational structure ("grassroots," "externally-organized," or "externally-managed"). The typology was assessed for limitations from having been based on a systematic review of only peer-reviewed, academic articles and, referring to its themes, was used to construct a logic model for a hypothetical community garden project. The processual typology developed in this study is limited in its power to summarize all existing community gardens but offers a first step toward informing the creation of logic models for future projects in order to improve sustainability and attain more funding.