MétaCan
Menu
Back to cohort
Record W252381202

Evolution of an interdisciplinary curriculum.

2003· article· en· W252381202 on OpenAlexaboutno aff
Bonita S. Harriett, Doyle M. Cummings, Kristen Springer Dreyfus

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRural areaObesityPovertyGerontologyPopulationEnvironmental healthHealth carePublic healthHealth equityDiseaseRural healthEconomic growthNursing
DOInot available

Abstract

fetched live from OpenAlex

Need for Interdisciplinary Rural Health Education Within the next decade, a growing elderly population that bears the burden of chronic illnesses will continue to challenge health practitioners with ever more complex health care needs. The number of patients with active human immunodeficiency virus (HIV) infection will continue to rise, necessitating expanded access to innovative medications. Increasing obesity and sedentary lifestyles will produce continued growth in the prevalence of diabetes, heart disease, and their associated sequelae. Blumenthal and Kagen1 state that persons living in the rural United States are more likely to experience higher rates of chronic diseases associated with health-damaging behaviors such as obesity and physical inactivity than persons in large metropolitan areas. Residents living in rural communities are more likely to smoke, have a sedentary lifestyle, lose their teeth due to nutritional deficits, and lack access to adequate health care services, leading to a higher rate of mortality than urban areas. Heart disease being noted as the leading cause of death in the United States, the Centers for Disease Control and Prevention reported that the South has a 20% increase in heart disease in rural communities compared with urban communities. Adults living in rural communities are more likely to smoke than those living in urban areas. The higher rates of chronic obstructive pulmonary disease found in rural communities are consistent with the use of cigarettes. In the South, poverty is higher in the rural areas than other geographic areas of the United States.2 Rural communities with limited resources to implement innovative health programs are particularly vulnerable to these problems. Another dilemma facing rural communities is that recent graduates from health professions schools increasingly are attracted to larger urban and suburban settings, often leaving rural communities to struggle with maintaining an adequate workforce. Another need, given the limited workforce and growing patient care demands, is improved interprofessional communication and collaboration. Many rural practitioners, overwhelmed by the burden of disease, are unable to make dramatic changes in community practice patterns to address system-wide problems. Special programs are needed that are designed specifically to address the unique need for a revitalized rural health workforce. In addressing this situation, Smith and Seymour3 believed it imperative that universities develop community-based interdisciplinary models of health professional education. The concept of interdisciplinary practice is not new. Interdisciplinary practice began in 1948 in the United States when a New York physician introduced the concept of interdisciplinary teams in providing home health care services.4 In 1991, a community partnership project sponsored by the W.K. Kellogg Foundation was developed at East Tennessee State University.3 During the same period, the federal government began its Interdisciplinary Rural Health Training Program with a variety of sites, including rural communities in Colorado, Arizona, New Mexico, Alabama, Hawaii, Oregon, South Dakota, Georgia, Maine, Kentucky, Michigan, and South Carolina. Dalhousie University Faculty of Health Professions in Canada used a similar educational model.5 Proponents of shared learning believe that interprofessional education enhances understanding of roles and responsibilities of other health professionals, develops skills in teamwork, and improves communication and interpersonal skills of participants. A commitment to interprofessional education begins with university faculty through their efforts in planning, organizing, and committing to this learning approach.6 Interdisciplinary Program at East Carolina University Beginning in 1993, the collaborative efforts of East Carolina University (ECU) School of Medicine, Eastern Area Health Education Center, other health science schools at ECU, and the rural communities of Duplin, Beaufort, and Bertie/Hertford/Gates counties established an interdisciplinary health professions training program in eastern North Carolina, with external funding from the U. …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

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

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 head0.037
GPT teacher head0.406
Teacher spread0.369 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2003
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicGlobal Health Workforce IssuesFrench-language works237,207