| Literature DB >> 31819383 |
Favel L Mondesir1, Emily B Levitan2, Gargya Malla2, Reshmi Mukerji3, April P Carson2, Monika M Safford4, Janet M Turan5.
Abstract
BACKGROUND: Few qualitative studies have explored factors influencing medication adherence among people with coronary heart disease (CHD) or CHD risk factors. We explored how factors related to the patient (e.g. self-efficacy), social/economic conditions (e.g. social support and cost of medications), therapy (e.g. side effects), health condition (e.g. comorbidities), and the healthcare system/healthcare team (e.g. support from healthcare providers and pharmacy access) influence medication adherence, based on the World Health Organization Multidimensional Adherence Model (WHO-MAM).Entities:
Keywords: coronary heart disease; diabetes; dyslipidemia; hypertension; medication adherence; qualitative research
Year: 2019 PMID: 31819383 PMCID: PMC6890172 DOI: 10.2147/PPA.S222176
Source DB: PubMed Journal: Patient Prefer Adherence ISSN: 1177-889X Impact factor: 2.711
Example of How Thematic Analysis Was Used
| Analysis Steps | Definition/Quotation | |
|---|---|---|
| Question from interview guide | Can you tell me about your experiences with filling prescriptions? (Probes: cost factors, wait time, relationship with pharmacist, insurance, transportation to pharmacies) | |
| Broad code created | Cost | Anything related to cost: type of insurance, co-pays, additional charges, financial difficulties |
| Fine codes created | Co-pays | High co-pays, Low co-pays, affordable co-pays, not able to afford co-pays, other mentions of co-pays |
| Additional charges | Any other additional charge | |
| Financial difficulties | Financial difficulties in paying for medications, financial difficulties in paying for things other than medications | |
| No cost issue | Participant has no issues with cost | |
| Corresponding Theme from World Health Organization Multidimensional Adherence Model | Economic Factors | |
| Sub-theme | Economic Influences | See sometimes you run out and you go to the pharmacy and the insurance won’t pay for the medication and then you have to wait until the insurance pays for the medication. (Male, Black, 60–69 years age group) |
Characteristics of the Study Participants (N =18)
| Characteristics | |
|---|---|
| Age (mean ± SD) | 57.7 ± 8.0 |
| Black (n, %) | 13 (72.2) |
| Women (n, %) | 8 (44.4) |
| <College graduate (n, %) | 11 (61.1) |
| Employed (n, %) | 12 (66.7) |
| Health insurance (n, %) | 18 (100) |
| Prescription drug coverage (n, %) | 18 (100) |
| Area of residence (n, %) | |
| Urban | 8 (44.4) |
| Suburban | 9 (50.0) |
| Rural | 1 (5.6) |
| Self-reported diabetes (n, %) | 14 (77.8) |
| Self-reported hypertension (n, %) | 12 (66.7) |
| Self-reported dyslipidemia (n, %) | 11 (61.1) |
| Self-reported coronary heart disease (n, %) | 8 (44.4) |