| Literature DB >> 27905078 |
Anna Piecuch1, Magdalena Makarewicz-Wujec2, Małgorzata Kozłowska-Wojciechowska2.
Abstract
Background An informed or shared decision-making model is desirable to support the choice of over-the-counter (OTC) medications in pharmacies: it respects patient empowerment in self-medication. Such a model is achievable provided that pharmacists are a credible, competent information source open to patient needs. Objective To study the dependencies among selected factors that may influence the provision of OTC medication information. The study was conducted from the perspective of a community pharmacist. Method The study consisted of an auditorium survey with a self-administered questionnaire. We attempted to determine the relationships among three selected constructs: patient centredness (four items), competence (four items), and provision of OTC medication information (six items) as latent variables. We analysed hypothetical relationships among the observable variables and latent variables using structural equation modelling. Main outcome measure Selected factors that may influence the provision of OTC medication information. Results In all, 1496 pharmacists took part in the study. The model demonstrated adequate fit (χ2 = 198.39, df = 64). The patient-centredness construct was demonstrated to have a strong direct positive impact on the provision of OTC medication information construct (β = 0.77, P < 0.05). Provision of OTC medication information was also shown to have a strong direct effect on the competence variable (β = 0.90, P < 0.05). Conclusion If a pharmacist is patient centred, there is a greater possibility that they will provide information about OTC medicines; that may influence the pharmacist's feelings about their ability to cope with patient initiatives and enhance the pharmacist's selfperceived competence.Entities:
Keywords: Community pharmacy; Medicine information; Patient; Pharmacy services; Poland
Mesh:
Substances:
Year: 2016 PMID: 27905078 PMCID: PMC5306170 DOI: 10.1007/s11096-016-0397-z
Source DB: PubMed Journal: Int J Clin Pharm
Sociodemographic characteristics of the study sample
| Independent variables | n = 1496 (%) |
|---|---|
| Age | 40 ± 11 years |
| Sex | |
| Female | 1312 (87.7) |
| Male | 184 (12.3) |
| Years in practice | |
| ≤5 | 445 (30.1) |
| 6–10 | 201 (13.6) |
| 11–15 | 202 (13.6) |
| 16–20 | 219 (14.8) |
| >20 | 413 (27.9) |
| Job positiona | |
| Pharmacist (with a Masters degree in pharmacy) | 1496 (100.0) |
| Pharmacy manager | 630 (42.1) |
| Pharmacy owner | 156 (10.4) |
| Other job position | 2 (<0.1) |
| Pharmacy setting | |
| Rural area | 115 (7.7) |
| Urban area of up to 20,000 inhabitants | 279 (18.6) |
| Urban area of 20,000–100,000 inhabitants | 365 (24.4) |
| Urban area of 100,000–500 000 inhabitants | 291 (19.5) |
| Urban area of over 500,000 inhabitants | 431 (28.8) |
| No response | 15 (1.0) |
| Pharmacy | |
| Independent pharmacy | 913 (61.0) |
| Chain pharmacy | 500 (33.4) |
| Other type of pharmacy | 83 (5.5) |
| Self-perceived pharmacist-patient relationships | |
| Very good | 486 (32.5) |
| Good | 963 (64.4) |
| Neither good nor bad | 44 (2.9) |
| Bad | 3 (0.2) |
| Very bad | 0 (<0.1) |
aAnswers do not sum up to 100% as multiple answers were possible
Descriptive statistics of study constructs—patient-centredness, competence and provision of OTC medication information (n = 1496)
| Construct/Item | n | Median [IQR] | Strongly agree | Agree | Undecided | Disagree | Strongly disagree | No response |
|---|---|---|---|---|---|---|---|---|
| Patient-centredness (reverse coded) | ||||||||
| PAT1. I consider patient well-being as the highest priority | 1494 | 5 [5–5] | 1197 (80%) | 282 (19%) | 12 (<1%) | 2 (<1%) | 1 (<1%) | 2 (<1%) |
| PAT2. When asked for advice, I recommend a drug which best suits patient needs | 1490 | 5 [5–5] | 1186 (79%) | 287 (19%) | 13 (<1%) | 3 (<1%) | 1 (<1%) | 6 (<1%) |
| PAT3. I would never recommend a drug that would not work in the patient | 1491 | 5 [4–5] | 1105 (74%) | 279 (19%) | 79 (5%) | 24 (2%) | 4 (<1%) | 5 (<1%) |
| PAT4. I try to sell drugs with which I can earn the highest profit margina | 1481 | 4 [4–5] | 32 (2%) | 114 (8%) | 208 (14%) | 459 (31%) | 668 (45%) | 15 (1%) |
| Competence | ||||||||
| COM1. If in doubt as to how a medication works or should be used, patients can always seek my advice | 1494 | 5 [5–5] | 1327 (89%) | 155 (10%) | 8 (<1%) | 2 (<1%) | 2 (<1%) | 2 (<1%) |
| COM2. If they want to buy an OTC medication, patients should first seek my advice | 1490 | 5 [4–5] | 995 (67%) | 329 (22%) | 72 (5%) | 51 (3%) | 43 (3%) | 6 (<1%) |
| COM3. I have extensive expertise in medications | 1489 | 4 [4–5] | 522 (35%) | 753 (50%) | 208 (14%) | 6 (<1%) | 0 (<1%) | 7 (<1%) |
| COM4. I am usually able to comprehensively answer patients’ questions about medications | 1481 | 4 [4–5] | 535 (36%) | 811 (54%) | 126 (8%) | 8 (<1%) | 1 (<1%) | 15 (1%) |
| Provision of OTC medication information (reverse coded) | ||||||||
| INF1. I always instruct patients on how to correctly use the drug I sell | 1491 | 5 [4–5] | 767 (51%) | 584 (39%) | 90 (6%) | 44 (3%) | 6 (<1%) | 5 (<1%) |
| INF2. I warn patients of possible adverse drug reactions | 1489 | 4 [3–5] | 398 (27%) | 587 (39%) | 283 (19%) | 189 (13%) | 32 (2%) | 7 (<1%) |
| INF3. I typically do not ask any additional questions when I dispense medicationsa | 1487 | 4 [4–5] | 30 (2%) | 118 (8%) | 194 (%) | 607 (41%) | 538 (36%) | 9 (<1%) |
| INF4. I warn patients of possible interactions when I dispense medications | 1490 | 4 [3–4] | 290 (19%) | 568 (38%) | 370 (25%) | 211 (14%) | 51 (3%) | 6 (<1%) |
| INF5. I always make sure that there are no contraindications for the patient to use the medication | 1485 | 4 [4–5] | 272 (18%) | 544 (36%) | 386 (26%) | 220 (15%) | 63 (4%) | 11 (<1%) |
| INF6. I typically instruct patients on how to store the drugs I dispense | 1488 | 5 [4–5] | 1022 (68%) | 372 (25%) | 52 (3%) | 31 (2%) | 11 (<1%) | 8 (<1%) |
IQR Interquartile range
aReverse coded
Fig. 1Structural equation model showing relationships among the study constructs: patient centredness, competence, and provision of OTC medication information. χ2 = 198.39, df = 64, P < 0.001, root mean square of approximation = 0.038 COM—competence INF—provision of OTC medication information PAT—patient centredness
Confirmative factor analysis of the individual items representing study constructs
| Variable | SRW | URW | SE URW | Cronbach coefficient alpha | AVE (%) |
|---|---|---|---|---|---|
| Patient-centredness | |||||
| PAT1 | 0.74 | 2.22 | 0.11 | 0.50 | 45 |
| PAT2 | 0.82 | 2.46 | 0.11 | ||
| PAT3 | 0.63 | 0.83 | 0.04 | ||
| PAT4 | 0.43 | 0.58 | 0.04 | ||
| Competence | |||||
| COM1 | 0.59 | 4.65 | 0 | 0.47 | 22 |
| COM2 | 0.25 | 0.71 | 0.10 | ||
| COM3 | 0.60 | 0.37 | 0.03 | ||
| COM4 | 0.70 | 1.07 | 0.08 | ||
| Provision of OTC medication information | |||||
| INF1 | 0.70 | 0.89 | 0 | 0.78 | 37 |
| INF2 | 0.78 | 0.80 | 0.03 | ||
| INF3 | 0.61 | 0.81 | 0.04 | ||
| INF4 | 0.74 | 0.83 | 0.03 | ||
| INF5 | 0.65 | 0.76 | 0.03 | ||
| INF6 | 0.64 | 1.19 | 0.05 | ||
SRC Standardized regression coefficient, URW unstandardized regression weight, SE standard error, AVE average variance extracted