Barriers to accessing primary, specialty, and preventive healthcare among rural Hispanic immigrant residents in the United States are examined using ecological systems theory and a capabilities approach perspective. National and rural Latino population demographics are described with a focus on healthcare obstacles frequently encountered by rural Hispanic populations. Possible systemic solutions for accessible and culturally competent medical care to address rural access disparities among rural Latino populations are presented.

Health services internationally struggle to ensure health care is “person-centered” (or similar). In part, this is because there are many interpretations of “person-centered care” (and near synonyms), some of which seem unrealistic for some patients or situations and obscure the intrinsic value of patients’ experiences of health care delivery. The general concern behind calls for person-centered care is an ethical one: Patients should be “treated as persons.” We made novel use of insights from the capabilities approach to characterize person-centered care (...) as care that recognizes and cultivates the capabilities associated with the concept of persons. This characterization unifies key features from previous characterisations and can render person-centered care applicable to diverse patients and situations. By tying person-centered care to intrinsically valuable capability outcomes, it incorporates a requirement for responsiveness to individuals and explains why person-centered care is required independently of any contribution it may make to health gain. (shrink)

Through hypothetical scenarios, this paper analyses whether machine learning (ML) could resolve one of the main shortcomings present in Christopher Boorse’s Biostatistical Theory of health (BST). In doing so, it foregrounds the boundaries and challenges of employing ML in formulating a naturalist (i.e., prima facie value-free) definition of health. The paper argues that a sweeping dataist approach cannot fully make the BST truly naturalistic, as prior theories and values persist. It also points out that supervised learning introduces circularity, rendering it (...) incompatible with a naturalistic perspective. Additionally, it underscores the need for pre-existing auxiliary theories to assess results from unsupervised learning. It emphasizes the importance of understanding the epistemological entanglements between data and data processing methods to manage expectations about what data patterns can predict. In conclusion, the paper argues against delegating the final authority for defining complex concepts like health to AI systems, as it necessitates ethical judgment and capacities for deliberation that AI currently lacks. It also warns against granting creators and deployers of AI systems the discretionary authority to determine these definitions outside the wider social discussion, advocating for ongoing public engagement on normative notions. Failure to do so risks limiting individuals and collectives’ ability to shape a just digital future and diminishes their fundamental epistemic agency. (shrink)

This paper seeks to develop a theory of health that aligns with the shift in contemporary medical practice and research toward a temporally extended epidemiological view of health. The paper describes how such a theory is at the core of life course based approaches to health, and finds theoretical grounding in recent work in the philosophy of biology promulgating a process theory of life.

Entwhistle and Watt (2013) make an important contribution to the person-centred view of health care by reframing past thinking on the subject in terms of the capability approach. Past thinking about person-centred care employs a range of normative values that are arguably supportive of the concept of a person. But ironically these values are not clearly grounded in any account of what the person is. Thus, it is not clear what anchors these values and so how they are to be (...) interpreted. (shrink)