| Literature DB >> 33809303 |
Ana Teixeira1,2, Maribel Teixeira1, Maria Teresa Herdeiro3, Viviana Vasconcelos1, Rita Correia1, Maria Fernanda Bahia2, Isabel F Almeida2, Diogo Guedes Vidal4, Hélder Fernando Pedrosa E Sousa5, Maria Alzira Pimenta Dinis4, Vera Almeida1,2.
Abstract
The connection between pharmacists' knowledge and practice on the provided information to patients about dermatoses and their treatment is insufficiently characterized. Furthermore, pharmacists' contributions in counselling and in promoting adherence to topical treatment is not fully understood. This study has three main objectives. It aims to identify the knowledge and practices of pharmacists about dermatoses and their treatment, and to compare the perspective of pharmacists with that of patients regarding treatment information, with the future goal of establishing guidelines on the communication of dosage regimen instructions to dermatological patients and promotion of adherence to treatment, filling a gap. A cross-sectional, exploratory, and descriptive study was carried out. Based on experts' prior knowledge and extensive collected literature information, two questionnaire protocols, one for pharmacists and another one for patients, were designed. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were carried out in relation to the pharmacists' questionnaire for instrument validation. The results indicate that knowledge of pharmacists regarding dermatoses and their treatment is considered acceptable. Most of the pharmacists were reported to provide information to patients. Oppositely, patients reported not to have receive it. This is an important issue because pharmacists play a primary role in the management of several diseases. As non-adherence can be triggered by poor understanding of the dosing instructions, pharmacists' communication practices play an important role in improving this hinderance. Results from this study identified pharmacist-patient communication gaps, so the development of guidelines to improve the transmission of clear dosage regimen instructions and knowledge about patient's disease are of paramount importance. Training programs for continuous education of pharmacist should be implemented to solve the identified communication problems found in this study.Entities:
Keywords: community pharmacist; disease management; pharmacists’ knowledge; treatment adherence
Mesh:
Year: 2021 PMID: 33809303 PMCID: PMC8000358 DOI: 10.3390/ijerph18062928
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Pharmacists’ answers, total and subscales description (N = 230).
| Questions | Theoretical |
|
|
|
|
|
|
|
|---|---|---|---|---|---|---|---|---|
| 0–13 | 4 | 10 | 8.50 | 1.81 | −1.15 | −0.25 | ||
| 0–14 | 2 | 14 | 10.30 | 2.63 | −0.24 | −0.04 | ||
| 0–13 | 8 | 12 | 11.07 | 1.53 | −1.37 | 0.14 | ||
| 0–13 | 7 | 12 | 9.77 | 1.89 | 0.15 | −1.88 | ||
| 0–14 | 6 | 14 | 11.97 | 2.45 | −0.79 | −0.38 | ||
| 0–12 | 2 | 11 | 9.22 | 1.57 | −1.84 | 2.28 | ||
| 0–14 | 7 | 12 | 10.96 | 1.24 | −1.72 | 2.16 | ||
| 0–14 | 2 | 10 | 8.37 | 1.54 | −1.04 | 0.14 | ||
| 0–15 | 4 | 12 | 10.36 | 1.83 | −1.25 | 0.92 | ||
| 0–16 | 4 | 12 | 11.34 | 1.50 | −2.12 | 3.41 | ||
| 0–12 | 1 | 10 | 7.42 | 1.63 | −1.77 | 2.54 | ||
| 0–9 | 0 | 8 | 5.37 | 1.84 | −0.35 | −0.50 | ||
| 0–2 | 0 | 2 | 1.81 | 0.50 | −2.63 | 5.99 | ||
| 0–2 | 0 | 2 | 1.19 | 0.91 | −0.39 | −1.67 | ||
| 0–2 | 0 | 2 | 1.59 | 0.72 | −1.43 | 0.43 | ||
| 0–2 | 0 | 2 | 1.63 | 0.72 | −1.60 | 0.84 | ||
| 0–2 | 0 | 2 | 1.58 | 0.76 | −1.43 | 0.26 | ||
| 0–10 | 4 | 10 | 8.97 | 2.22 | −1.75 | 1.14 | ||
| 0–10 | 3 | 9 | 5.98 | 1.97 | −0.23 | −1.68 | ||
| 0–10 | 4 | 8 | 6.79 | 1.67 | −0.85 | −1.02 | ||
| 0–2 | 0 | 2 | 1.41 | 0.75 | −0.85 | −0.74 | ||
|
| 0–201 | 96 | 168 | 145.59 | 12.05 | −1.31 | 2.85 | 0.65 |
| Dermatoses & treatment | 0–138 | 74 | 115 | 101.85 | 7.36 | −0.96 | 1.50 | 0.41 |
| Dosage instructions & adherence | 0–63 | 21 | 55 | 43.74 | 7.77 | −1.24 | 1.06 | 0.72 |
Min = Minimum; Max = Maximum; M = Mean; SD = Standard Deviation; S = Skewness; K = Kurtosis; α = Cronbach Alfa.
Distribution of pharmacists’ answers.
| Questions | Pharmacists’ Answers | % |
|---|---|---|
|
|
| |
| Psoriasis | 67.0 | |
| Seborrheic dermatitis | 58.7 | |
| Acne | 56.5 | |
| Androgenic Alopecia | 8.7 | |
| Scabies | 2.6 | |
|
|
| |
| Environmental factors | 65.2 | |
| Age | 59.1 | |
| Lifestyle | 53.9 | |
| Gender | 17.4 | |
| Socioeconomic factors | 13.9 | |
| Educational level | 1.3 | |
|
|
| |
| Erythema | 67.4 | |
| Pustules | 15.2 | |
| Hyperpigmentation | 11.3 | |
| Ulcers | 6.1 | |
| Blisters | 1.3 | |
| Comedones | 0.4 | |
|
|
| |
| Desquamative papules/plaques | 77.0 | |
| Pustules | 20.0 | |
| Ulcers | 15.2 | |
| Comedones | 12.6 | |
| Hyperpigmentation | 6.1 | |
| Blisters | 6.1 | |
|
|
| |
| Erythema | 70.4 | |
| Pustules | 20.0 | |
| Comedones | 12.6 | |
| Hyperpigmentation | 6.1 | |
| Blisters | 6.1 | |
| Ulcers | 3.9 | |
|
|
| |
| Pustules | 77.4 | |
| Blisters | 8.3 | |
| Erythema | 5.7 | |
| Ulcers | 4.8 | |
| Hyperpigmentation | 3.0 | |
| Desquamative papules/plaques | 3.0 | |
|
|
| |
| Keratolytics | 43.5 | |
| Vitamin D analogues | 32.6 | |
| Immunomodulators | 23.5 | |
| Retinoids | 7.8 | |
| Antibacterials | 1.7 | |
| Antifungals | 0.4 | |
|
|
| |
| Immunomodulators | 35.2 | |
| Antibacterials | 20.0 | |
| Keratolytics | 13.9 | |
| Retinoids | 10.9 | |
| Antifungals | 9,6 | |
| Vitamin D analogues | 8.3 | |
| Antivirals | 0.4 | |
|
|
| |
| Antifungals | 53.5 | |
| Keratolytics | 47.8 | |
| Antibacterials | 13.5 | |
| Retinoids | 7.0 | |
| Immunomodulators | 4.3 | |
| Vitamin D analogues | 2.6 | |
|
|
| |
| Retinoids | 72.2 | |
| Keratolytics | 19.6 | |
| Corticosteroids | 7.4 | |
| Antifungals | 3.0 | |
| Vitamin d analogues | 3.0 | |
| Immunomodulators | 1.7 | |
|
|
| |
|
|
| |
| Vehicle/base of the medicine | 45.2 | |
| The season | 30.4 | |
| The knowledge of dosage | 25.7 | |
| The skin type | 9.1 | |
| The medicine strength | 5.7 | |
|
|
| |
| Apply an amount equivalent to the “fingertip unit” to an area approximately one palm | 46.1 | |
| Apply a pea-sized amount to each lesion | 40 | |
| Apply generously to the area to be treated | 8.7 | |
| Apply an amount equivalent to the “fingertip unit” to an approximate area of two palms | 8.7 | |
|
|
| |
| Almost always | 16.5 | |
| Several times | 6.1 | |
| Sometimes | 3.5 | |
| Rarely | 0.4 | |
| Never | 0.4 | |
|
|
| |
| Almost always | 21.7 | |
| Several times | 8.7 | |
| Sometimes | 6.5 | |
| Rarely | 15.7 | |
| Never | 8.3 | |
|
|
| |
| Almost always | 18.3 | |
| Several times | 9.1 | |
| Sometimes | 4.3 | |
| Rarely | 2.2 | |
| Never | 1.7 | |
|
|
| |
| Almost always | 27.0 | |
| Several times | 6.1 | |
| Sometimes | 2.6 | |
| Rarely | 0.9 | |
| Never | 2.2 | |
|
|
| |
| Almost always | 21.7 | |
| Several times | 5.2 | |
| Sometimes | 2.6 | |
| Rarely | 0.9 | |
| Never | 1.7 | |
|
|
| |
| Contributes to increased treatment adherence with topical medicines | 83.5 | |
| Allows to minimize the adverse effects of skin medications | 82.6 | |
| Systemic treatments as these (skin application) are very safe | 0.9 | |
| Systemic treatments as these (skin application) are ineffective | 0.9 | |
|
|
| |
| The type of dermatosis | 44.8 | |
| The treatment complexity | 21.3 | |
| When the medicine is first used | 17.0 | |
| The existence of several affected anatomical zones | 14.8 | |
| The type of base/vehicle | 9.6 | |
| Greater than 90% | 1.7 | |
| Between 70–90% | 17.4 | |
|
|
| |
| Between 30–49% | 18.7 | |
| Less than 30% | 3.5 | |
|
|
| |
| Almost always | 26.1 | |
| Several times | 20.4 | |
| Sometimes | 6.1 | |
| Rarely | 0.9 |
Exploratory factorial analysis (EFA).
| Questions | Communalities | Component Matrix | |
|---|---|---|---|
| 0.640 | 0.182 | 0.113 | |
| 0.481 | 0.225 | 0.150 | |
| 0.479 | 0.080 | 0.412 | |
| 0.594 | −0.063 | 0.394 | |
| 0.635 | −0.039 | 0.442 | |
| 0.412 | −0.044 | 0.558 | |
| 0.653 | 0.169 | 0.342 | |
| 0.625 | −0.041 | 0.411 | |
| 0.654 | 0.093 | 0.306 | |
| 0.506 | 0.168 | 0.576 | |
| 0.407 | 0.341 | 0.375 | |
| 0.494 | 0.089 | 0.218 | |
| 0.652 | 0.610 | 0.313 | |
| 0.553 | 0.517 | 0.056 | |
| 0.732 | 0.758 | 0.169 | |
| 0.723 | 0.831 | 0.058 | |
| 0.810 | 0.869 | −0.021 | |
| 0.790 | 0.833 | −0.015 | |
| 0.452 | 0.438 | −0.065 | |
| 0.545 | 0.230 | 0.083 | |
| 0.697 | 0.767 | −0.091 | |
Final exploratory factorial analysis (EFA).
| Questions | Component Matrix | |
|---|---|---|
| 0.081 | 0.447 | |
| −0.05 | 0.398 | |
| −0.03 | 0.369 | |
| −0.032 | 0.611 | |
| 0.174 | 0.355 | |
| −0.047 | 0.471 | |
| 0.179 | 0.635 | |
| 0.612 | 0.274 | |
| 0.529 | 0.053 | |
| 0.775 | 0.210 | |
| 0.834 | 0.084 | |
| 0.872 | 0.015 | |
| 0.829 | −0.035 | |
| 0.437 | −0.086 | |
Figure 1Model Fit of the Pharmacists’ Knowledge Questionnaire in a sample of pharmacists whose workplace is the community pharmacy: χ = 154.008; df = 86; χ2/df = 1.791; CFI = 0.930; TLI = 0.915; RMSEA = 0.059; PCLOSE = 0.163.