| Literature DB >> 33293390 |
András Szilvay1, Orsolya Somogyi2, Attiláné Meskó2, Kata Szűcs-Polonkai2, Romána Zelkó2, Balázs Hankó2.
Abstract
OBJECTIVES: The research aimed to support the effectiveness and necessity of the communication training and methodology introduced in the postgraduate pharmacy training and community pharmacy practice in Hungary.Entities:
Keywords: education & training (see medical education & training); health & safety; medical education & training; organisational development; public health; quality in health care
Year: 2020 PMID: 33293390 PMCID: PMC7725086 DOI: 10.1136/bmjopen-2020-039603
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1The flow chart of the project.
Characteristics of patients surveyed in the project (data numbers (n) other than ‘the number of patients surveyed’ are due to occasional deficiencies in data collection; ‘other’ marital status: divorced, short-term relationship or the patient cannot define it)
| Preintervention | Postintervention | |
| Male | 42.3% | 43.6% |
| Female | 57.7% | 56.4% |
| 18–25 years | 12.0% | 12.5% |
| 26–40 years | 25.8% | 25.4% |
| 41–65 years | 37.4% | 38.0% |
| 65 years- | 24.8% | 24.1% |
| Other | 2.4% | 1.8% |
| Single | 23.7% | 22.8% |
| Widowed | 19.5% | 18.8% |
| Married/long-term relationship | 54.4% | 56.6% |
| Primary school | 7.0% | 8.6% |
| Vocational school | 24.0% | 23.1% |
| Baccalaureate | 34.3% | 35.7% |
| University | 34.7% | 32.6% |
| Villages | 3.4% | 3.6% |
| Other cities | 40.8% | 40.5% |
| County towns | 9.7% | 10.4% |
| Capital city | 46.1% | 45.5% |
Results of patient questionnaires (data numbers (n) other than ‘the number of patients surveyed’ (see table 1) are due to occasional deficiencies in data collection; p values were determined using variance analysis and t-tests)
| Questions | Values of points available for the question | Mean preintervention score ( | Mean postintervention score ( | Mean change ( | Mean change ( | P value | |
| 1. | Did the pharmacist or pharmacy technician use complicated terms or expressions during the consultation? | 0/1/4 point(s) | 2.94 | 3.31 | +0.37 | +9.09 | <0.001 |
| 2. | Did the pharmacist or pharmacy technician encourage you to ask questions during the consultation? | 2.35 | 3.05 | +0.70 | +17.58 | <0.001 | |
| 3. | Did your pharmacist or pharmacy technician emphasise the important information orally, with written help or graphics? | 3.13 | 3.52 | +0.39 | +9.77 | <0.001 | |
| 4. | How easy or difficult was it for you to understand the instructions given by your pharmacist or pharmacy technician on how to take/use the prescribed medication? | 0–4 point(s) | 3.06 | 3.29 | +0.23 | +5.75 | <0.001 |
| 5. | How much do you feel you know all the important information about your medicines? | 2.04 | 2.26 | +0.22 | +5.58 | 0.002 | |
| 6. | How do you see your state of health? | 1.86 | 2.02 | +0.16 | +4.16 | 0.027 | |
Change in the score for each patient subpopulation (bold: subpopulation with significantly higher improvement; n(preintervention): preintervention questionnaire data number; n(postintervention): postintervention questionnaire data number; data numbers (n) other than ‘number of patients surveyed’ (see table 1) are due to occasional deficiencies in data collection; p values were determined using χ2 test and the Kruskal-Wallis test)
| Sex | Mean change (point) | Mean change ( | |||
| Male | +2.02 | +8.42 | |||
| Female | +2.10 | +8.75 | |||
| P> | |||||
| 18–25 years | +1.39 | +5.79 | Other | +1.93 | +8.04 |
| 26–40 years | +1.26 | +5.25 | Single | +1.71 | +7.13 |
| Married/long-term relationship n(preintervention)=475 | +1.86 | +7.75 | |||
| P<0.001 | p< | ||||
| Villages | +0.97 | +4.04 | |||
| Other cities | +2.50 | +10.42 | |||
| University | +1.67 | +6.96 | Capital city | +1.67 | +6.96 |
| p=0.02 | p<0.02 |
Staff questionnaire results per question and total (n(preintervention): preintervention questionnaire data number; n(postintervention): postintervention questionnaire data number; data numbers (n) other than ‘the number of professionals surveyed’ in the project are due to occasional deficiencies in data collection; p values were determined using variance analysis and t-tests)
| Questions | Mean preintervention score ( | Mean postintervention score ( | Mean change ( | Mean change ( | P value | |
| 1. | How typical are you to recognise patients with low levels of health literacy? | 3.96 | 4.35 | +0.39 | +7.80 | <0.001 |
| 2. | How typical are you to know what communication techniques you can use to help the patient’s health literacy? | 3.69 | 4.26 | +0.57 | +11.40 | <0.001 |
| 3. | How typical are you of communicating with your patients in plain, everyday terms eg, not using technical terms)? | 4.02 | 4.50 | +0.48 | +9.60 | <0.001 |
| 4. | How typical are you of encouraging your patients to ask questions? | 3.29 | 4.04 | +0.75 | +15.00 | <0.001 |
| 5. | How typical are you to visually help your patient understand the information? | 3.65 | 4.16 | +0.51 | +10.20 | <0.001 |
Results of staff questionnaires by settlement type (bold: subpopulation with significantly higher improvement; n(preintervention): preintervention questionnaire data number; n(postintervention): postintervention questionnaire data number; data numbers (n) other than ‘the number of professionals surveyed’ in the project are due to occasional deficiencies in data collection;p values were determined using χ2 test and the Kruskal-Wallis test)
| Type of settlement | Mean change (point) | Mean change (%) |
| Villages | +2.29 | +9.16 |
| Other cities | +2.71 | +10.84 |
| P< | ||