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Record W2559556790 · doi:10.1097/ncm.0000000000000193

Meeting People “Where They Are”

2016· article· en· W2559556790 on OpenAlexaff
Jane Harkey, Charlotte Sortedahl, Michelle M. Crook, Patrice V. Sminkey

Bibliographic record

VenueProfessional Case Management · 2016
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsNational Capital Commission
Fundersnot available
KeywordsMotivational interviewingAmbivalenceVariety (cybernetics)Health carePublic relationsPsychologyOrder (exchange)Case managementInterviewBest practiceBusinessSocial psychologySociologyPolitical scienceComputer sciencePsychological intervention

Abstract

fetched live from OpenAlex

PURPOSE: The propose of this discussion is to explore the role of the case manager to empower and motivate clients, especially those who appear "stuck" or resistant to change. Drawing upon the experiences of case managers across many different practice settings, the article addresses how case managers can tap into the individual's underlying and sometimes deep-seated desires in order to foster buy-in for making even small steps toward achieving their health goals. The article also addresses how motivational interviewing can be an effective tool used by case managers to uncover blocks and barriers that prevent clients from making changes in their health or lifestyle habits. PRIMARY PRACTICE SETTINGS: This discussion applies to case management practices and work settings across the full continuum of health care. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: The implication for case managers is deeper understanding of the importance of motivation to help clients make positive steps toward achieving their health goals. This understanding is especially important in advocating for clients who appear to be unmotivated or ambivalent, but who are actually "stuck" in engrained behaviors and habits because of a variety of factors, including past failures. Without judgment and by establishing rapport, case managers can tap into clients' desires, to help them make incremental progress toward their health goals.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.155
GPT teacher head0.423
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2016
Admission routes1
Has abstractyes

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