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Record W2998717731 · doi:10.1136/bmjopen-2019-033933

Exploring the experiences of people in Ontario, Canada who have trouble affording medicines: a qualitative concept mapping study

2019· article· en· W2998717731 on OpenAlexafffundabout
Hannah Yaphe, Itunuoluwa Adekoya, Liane Steiner, Darshanand Maraj, Patricia O’Campo, Nav Persaud

Bibliographic record

VenueBMJ Open · 2019
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsPublic Health OntarioUniversity of TorontoSt. Michael's Hospital
FundersUniversity of Texas Rio Grande ValleyCanadian Institutes of Health ResearchGovernment of OntarioOntario SPOR SUPPORT Unit
KeywordsMedicineQualitative researchAlternative medicineFamily medicineIntervention (counseling)Cluster randomised controlled trialNursingQuality of life (healthcare)

Abstract

fetched live from OpenAlex

OBJECTIVES: The experiences of people who report cost-related medicine non-adherence are not well documented. We aimed to present experiences relating to accessing medicines reported by the participants in a randomised controlled trial of free medicine distribution. METHODS: The trial consisted of primary care patients from a large urban family practice and three rural family practices who reported cost-related medicine non-adherence. Participants were randomly allocated to continue their poor access (control) or to receive free and easily accessible medicines (intervention). As part of data collection for the first year of the trial, participants were asked closed and open-ended questions to assess their adherence to medication, health outcomes and their experiences in relation to medicine accessibility. We conducted a qualitative concept mapping study in which we analysed and summarised participants' responses to the open-ended question on a concept map to visually present their experiences relating to accessing medicines. RESULTS: Of the 524 trial participants contacted, 198 (38%) responded to the open-ended question. The concept map contains clusters that represent eight types of experiences of participants related to medicine access including stress, relationship with doctor, health impact, quality of life, sacrificing other essentials, medicines are expensive, financial impact and adherence. These experiences fall under two major themes, experiences relating to personal finances and experiences relating to well-being, which are bridged by a central cluster of adherence. CONCLUSIONS: The experiences shared by the participants demonstrate that access to medicines impacts people's finances and well-being as well as their adherence to prescribed medicines. These results indicate that effects on personal finances and general well-being should be measured for interventions and policy changes aimed at improving medicine access. TRIAL REGISTRATION NUMBER: This article is linked to the Carefully Selected and Easily Accessible at No Charge Medicines (CLEAN Meds) randomised controlled trial (trial registration number: NCT02744963).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.999

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)0.0020.000

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 head0.295
GPT teacher head0.431
Teacher spread0.137 · 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.

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

Citations15
Published2019
Admission routes3
Has abstractyes

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