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Record W1512286499 · doi:10.4103/1357-6283.99210

Experiences of Persons with Type II Diabetes Receiving Health Coaching: An Exploratory Qualitative Study

2012· article· en· W1512286499 on OpenAlexaff
LM Howard, B Hagen

Bibliographic record

VenueEducation for Health · 2012
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsCoachingType 2 diabetesQualitative researchExploratory researchPsychologyHealth coachingMedicineFamily medicineDiabetes mellitusGerontologyPsychotherapistEndocrinologySociology

Abstract

fetched live from OpenAlex

INTRODUCTION: The objective of this exploratory qualitative study was to examine the experience of persons living with type II diabetes who participated in a health coaching intervention. METHODS: The researchers used a qualitative phenomenological hermeneutic research design to explore the experiences of people undergoing health coaching for self-management of their diabetes. RESULTS: Qualitative data analysis resulted in three themes that best described participants' experience of health coaching for diabetes: (1) "the driving force," which described how health coaches helped clients to find powerful motivators for change; (2) "I'm not a child," which described how people wanted to be treated by the health coaches; and (3) "meeting the inner coach," which described how health coaches helped clients develop their own inner wisdom. DISCUSSION: The participants' descriptions of coaching challenge a more traditional paradigm of expert-driven and information-laden diabetes education practices. The findings suggest that the process of health coaching may help persons with diabetes become confident self-managers of their diabetes.

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)0.009
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.087
GPT teacher head0.441
Teacher spread0.354 · 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 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

Citations13
Published2012
Admission routes1
Has abstractyes

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