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Record W6982461458

Increasing Colorectal Cancer Screening in the Primary Care Setting

2018· article· en· W6982461458 on OpenAlexaboutno aff

Bibliographic record

VenueArizona State University Library Digital Repository (Arizona State University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicKorean Peninsula Historical and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary careDocumentationCancer screeningColorectal cancer screeningMEDLINEColorectal cancerHealth careFocus groupElectronic health recordWorkflow
DOInot available

Abstract

fetched live from OpenAlex

abstract: Purpose: The purpose of this project was to implement a change in workflow to increase colorectal cancer (CRC) screening rates and improve Meaningful Use scores in a primary care setting.\n\nBackground and Significance: CRC is the second leading cause of cancer-related deaths in the United States among men and women. Current CRC screening rates remain low, even with advanced screening options available. Meaningful Use sets specific objectives for health care providers to achieve. Documenting CRC screening status and recommending CRC screenings to patients is one of the objectives of Meaningful Use and is considered a Clinical Quality Measure (HealthIT.gov). Factors that lead to CRC screening include primary care providers (PCPs) raising the topic, involving support staff, involving patients in the decision-making process, and setting alerts in electronic health records (EHRs).\n\nMethods: The Health Belief Model and Ottawa Model of Research Use helped guide this project. The project took place at a private primary care practice. The focus was on patients between the ages of 50 and 75 years old meeting criteria for CRC. Five PCPS and five medical assistants (MAs) chose to participate in the study. Participants were given pre and post Practice Culture Assessment (PCA) surveys to measure perceptions of the practice culture. The project included a three-part practice change: PCP and MA education about CRC screening guidelines, EHR documentation and reminders, and a change of patient visit workflow which included having MAs review patient's CRC screening status before they were seen by the PCP and handing out CRC screening brochures when appropriate. PCPs then ordered the appropriate CRC screening, and the MA documented the screening in the EHR under a designated location. CRC Screening Project Evaluation Forms were completed by MAs after each patient visit.\n\nOutcomes: No significant difference from pre to post survey satisfaction scores were found (t (8) = - 1.542, p= = .162). Means of quantitative data were reported from the CRC screening evaluation forms; N=91. The most common method of screening chosen was colonoscopy, 87%. A strong correlation was found (r (-.293) = .01, p<.05) between receiving a CRC brochure and choosing a form of screening. Meaningful Use scores pre and post project are pending.\n\nConclusion: Patients are more likely to choose a screening method when the topic is raised in a primary care setting. Continued staff education on workflow is important to sustain this change. Further research is needed to evaluate cost effectiveness and sustainability of this practice change.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.009
GPT teacher head0.197
Teacher spread0.188 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes1
Has abstractyes

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