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Record W1902349793

Do patients' expectations influence their use of medications? Qualitative study.

2008· article· en· W1902349793 on OpenAlex
Kalpana Nair, Connie Sellors, Lynne Lohfeld, Annie Lee, Mitchell Levine

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsnot available
Fundersnot available
KeywordsDebriefingNonprobability samplingGrounded theoryQualitative researchPsychologyAffect (linguistics)Health careMedical educationMedicineInterviewData collectionApplied psychologyNursingSocial psychologySociology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate whether patients' expectations influence how they take their medications by looking at the expectations patients have of their medications and the factors that affect these expectations. DESIGN: Qualitative study using in-depth interviews and a grounded-theory approach. SETTING: A large city in Ontario. PARTICIPANTS: A total of 18 community-dwelling adult patients taking medication for at least 6 months. METHOD: Both purposive and convenience sampling techniques were used. The initial strategy comprised stratified, maximum variation, and typical case sampling. The research team developed a semistructured interview guide after a preliminary review of the literature. Individual, face-to-face, in-depth interviews were conducted and audiotaped. At the end of the interviews, basic demographic information was collected. Interviewers were debriefed following each interview and their comments on relevant contextual information, general impressions of the interview, and possible changes to the interview guide were audiotaped. Audiotapes of each interview, including the debriefing, were transcribed verbatim, cleaned, and given a unique identifying number. At least 2 team members participated in analyzing the data using an operational code book that was modified to accommodate emerging themes as analysis continued. MAIN FINDINGS: Patients' expectations were more realistic than idealistic. Many participants acted on their expectations by changing their medication regimens on their own or by seeking additional information on their medications. Expectations were affected by patients' beliefs, past experiences with medications, relationships with their health care providers, other people's beliefs, and the cost of medication. Patients actively engaged in strategies to confirm or modify their expectations of their medications. CONCLUSION: A range of factors (most notably past experiences with medications and relationships with health care providers) influenced patients' expectations of their medications. More comprehensive discussion between patients and their health care providers about these factors could affect whether medications are used optimally.

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.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.246
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.138
GPT teacher head0.347
Teacher spread0.209 · 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