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Record W2140267915

Overview of Rural Health

2012· article· en· W2140267915 on OpenAlexaboutno aff
Vincent T. Francisco, Craig Ravesloot

Bibliographic record

VenueThe Mathematics Enthusiast · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
FundersNational Institute on Disability and Rehabilitation Research
KeywordsRural healthMedicineRural area
DOInot available

Abstract

fetched live from OpenAlex

Ultimately, the challenge of health care reform is the challenge of building community (Shortell et al., 1996). It makes little sense to discuss health without also discussing environment. Environments may be toxic physical environments due to pollution, noise and crime, or toxic social environments that promote health risk behavior like smoking and sedentary living. Alternatively, environments may be constructed to promote health behavior (e.g., physical activity) or reduce health risks (e.g., indoor smoking policy). In either case, the population’s health status is shaped by their environment. Rural people are less healthy than urban people (Institute of Medicine, 2005). Rural environments have fewer healthcare resources to address health problems and to promote health of rural populations. However, the cause of this disparity goes well beyond access to healthcare, the focus of most rural health researchers and advocates (Bailey, 2010). The World Health Organization (WHO) defines health as “a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity” (World Health Organization, 1948). Further, WHO defined and operationalized health promotion during the Ottawa Convention in 1986. From those proceedings: Health promotion is the process of enabling people to increase control over, and to improve, their health. To reach a state of complete physical, mental and social well-being, an individual or group must be able to identify and to realize aspirations, to satisfy needs, and to change or cope with the environment. Health is, therefore, seen as a resource for everyday life, not the objective of living. Health is a positive concept emphasizing social and personal resources, as well as physical capacities. Therefore, health promotion is not just the responsibility of the health sector, but goes beyond healthy life-styles to well-being (World Health Organization, 1986). These documents indicate the global community has understood the far reaching inputs and impacts of health status for the world’s population for well over 25 if not over 60 years. Further, the role of social and physical environments that promote good health status have been described in detail suggesting the current trend in the US toward community-based interventions is woefully behind other countries with regard to population health. For example, the US ranks 28th in life expectancy despite spending more money per capita on healthcare than any other nation (National Research Council, 2011). Given these figures it is no surprise that very little of the $2.6 trillion annually allocated to healthcare is spent on health promotion (Centers for Medicare & Medicaid Services, 2012). It is true that medical researchers have made tremendous contributions in treating diseases. Yet, as better treatments emerge, they present us with the ethical question of how to make such treatments available to meet the standards of a just society. That challenge is particularly pronounced for those populations with economic challenges and those populations living in sparsely populated, remote rural areas. Still, even when medical service providers patch together a system to deliver medical care, we are no closer to achieving better population health. Instead, we need policies that improve “the [rural healthcare] system as it affects rural interests” (Mueller, 2010). While improving access to and the delivery of medical services is a worthy goal, finding ways to promote and maintain health remains a challenge. In this case, focusing on health encompasses medicine but expands our view to include more than delivering treatment, which increases our options for action. Further, focusing on health has particular advantages for addressing rural issues which are brought together through an ecological model of health. Using such a model shines a light on the numerous pathways to promoting and maintaining the health of entire populations. The purpose of this paper is to examine rural health and disability looking through the ecological lens to examine the relationship between rural environments and the health of rural people with disabilities. This paper encompasses 1) rural health ecology; 2) a multi-level ecological model for addressing the health needs of rural people with disabilities; 3) rural health and disability topics, working from the rural health ecological model; 4) two case examples: a program that demonstrated community level interventions for rural populations, and a program that adapted and implemented a health promotion program for rural people with disabilities; and 5) recommendations to improve the health of rural people with disabilities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.156
GPT teacher head0.481
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

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