Pharmacists’ Perceptions of Physician–Pharmacist Collaboration—A 2022 Cross-Sectional Survey in Poland
Abstract
:1. Introduction
- Drug reviews for adults who take five or more drugs at the same time;
- The New Drug service, enabling support for the patient in starting chronic treatment with a new drug;
- Nutritional advice provided by pharmacists;
- preventive programs, blood pressure measurement in a pharmacy, or determination of the BMI index;
- Flu vaccinations;
- Support in setting up an Internet Patient Account [16].
2. Materials and Methods
3. Results
3.1. Respondents’ Characteristics
3.2. Pharmacists’ Perception of the Physician–Pharmacist Collaboration
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variable | Pharmacists n = 635 | |
---|---|---|
n | % | |
There is a need for physician–pharmacist collaboration? | ||
strongly agree | 495 | 78.0 |
rather agree | 128 | 20.2 |
rather disagree | 4 | 0.6 |
strongly disagree | 3 | 0.5 |
I do not know/Neither agree nor disagree | 5 | 0.8 |
The pharmacist can help the physician in patient care and the selection of optimal pharmacotherapy | ||
strongly agree | 424 | 66.8 |
rather agree | 178 | 28.0 |
rather disagree | 14 | 2.2 |
strongly disagree | 1 | 0.2 |
I do not know/Neither agree nor disagree | 14 | 2.2 |
In your opinion, do physicians know the competencies of pharmacists resulting from the Polish law? | ||
yes | 35 | 5.5 |
no | 508 | 80.0 |
I do not know/Difficult to tell | 92 | 14.5 |
What pharmaceutical care services can be provided by a pharmacist? | ||
patient education on the use of medical equipment (e.g., glucometer, nebulizer) | 571 | 89.9 |
counseling on lifestyle changes in chronic diseases | 503 | 79.2 |
pharmacotherapy and adherence monitoring | 394 | 62.0 |
pharmacotherapy and compliance monitoring | 399 | 62.8 |
pharmaceutical counseling in minor health problems | 351 | 55.3 |
detection of polypharmacy in patients receiving medication from different physicians | 559 | 88.0 |
detection of interactions between drugs prescribed by a physician and dietary supplements self-ordered by the patient | 544 | 85.7 |
detection of prescribing cascade and recommendations for limiting the number of drugs | 356 | 56.1 |
Which group of patients can benefit the most from physician–pharmacist collaboration? | ||
patients visiting general practitioners | 438 | 69.0 |
patients visiting specialized outpatient clinics | 87 | 13.7 |
patients under hospital treatment | 102 | 16.1 |
other groups of patients | 8 | 1.3 |
Areas requiring changes to facilitate physician–pharmacist collaboration | ||
development of guidelines and recommendations on physician–pharmacist collaboration | 597 | 94.0 |
inclusion of physician–pharmacist collaboration in medical education programs | 520 | 81.9 |
providing public funding for physician–pharmacist collaboration | 552 | 86.9 |
Variable | Conviction about the Need for Physician–Pharmacist Collaboration | Belief That the Pharmacist Can Help the Physician in Patient Care | ||
---|---|---|---|---|
n (%) | p | n (%) | p | |
Gender | ||||
female | 508 (98.8) | 0.01 | 493 (95.9) | 0.01 |
male | 115 (95.0) | 109 (90.1) | ||
Age | ||||
<35 | 181 (98.9) | 0.3 | 177 (96.7) | 0.06 |
35–54 | 369 (98.1) | 357 (94.9) | ||
55 and over | 73 (96.1) | 68 (89.5) | ||
Having a pharmaceutical specialization | ||||
yes | 200 (98.5) | 0.6 | 190 (93.6) | 0.4 |
no | 423 (97.9) | 412 (95.4) | ||
Community pharmacies location | ||||
rural area | 15 (93.8) | 0.5 | 14 (87.5) | 0.01 |
city <100,000 residents | 317 (98.1) | 306 (94.7) | ||
city from 100,000 to 50,000 residents | 165 (98.8) | 165 (98.8) | ||
city >500,000 residents | 126 (97.7) | 117 (90.7) |
Variable | Patient Education on the Use of Medical Equipment (e.g., Glucometer, Nebulizer) | Counseling on Lifestyle Changes in Chronic Diseases | Pharmacotherapy and Adherence Monitoring | Pharmacotherapy and Compliance Monitoring | ||||
---|---|---|---|---|---|---|---|---|
n (%) | p | n (%) | p | n (%) | p | n (%) | p | |
Gender | ||||||||
female | 467 (90.9) | 0.1 | 411 (80.0) | 0.3 | 309 (60.1) | 0.04 | 323 (62.8) | 0.9 |
male | 104 (86.0) | 92 (76.0) | 85 (70.2) | 76 (62.8) | ||||
Age | ||||||||
<35 | 160 (87.4) | 0.2 | 143 (78.1) | 0.01 | 118 (64.5) | 0.002 | 115 (62.8) | 0.02 |
35–54 | 345 (91.8) | 309 (82.2) | 243 (64.6) | 247 (65.7) | ||||
55 and over | 66 (86.8) | 51 (67.1) | 33 (43.4) | 37 (48.7) | ||||
Having a pharmaceutical specialization | ||||||||
yes | 180 (98.7) | 0.5 | 163 (80.3) | 0.6 | 114 (56.2) | 0.04 | 130 (64.0) | 0.7 |
no | 391 (90.5) | 340 (78.7) | 280 (64.8) | 269 (62.3) | ||||
Community pharmacy location | ||||||||
rural area | 11 (68.8) | 0.02 | 10 (62.5) | 0.4 | 11 (68.8) | 0.06 | 7 (43.8) | <0.001 |
city <100,000 residents | 290 (89.8) | 257 (79.6) | 192 (59.4) | 183 (56.7) | ||||
city from 100,000 to 50,000 residents | 155 (92.8) | 134 (80.2) | 98 (58.7) | 111 (66.5) | ||||
city >500,000 residents | 115 (89.1) | 102 (79.1) | 93 (72.1) | 98 (76.0) | ||||
Variable | pharmaceutical counseling in minor health problems | detection of polypharmacy | detection of interactions between drugs and dietary supplements | detection of prescribing cascade and recommendations for limiting the number of drugs | ||||
n (%) | p | n (%) | p | n (%) | p | n (%) | p | |
Gender | ||||||||
female | 282 (54.9) | 0.7 | 462 (89.9) | 0.003 | 447 (87.0) | 0.06 | 283 (55.1) | 0.3 |
male | 69 (57.0) | 97 (80.2) | 97 (80.2) | 73 (60.3) | ||||
Age | ||||||||
<35 | 113 (61.7) | 0.07 | 167 (91.3) | 0.01 | 167 (91.3) | 0.01 | 118 (64.5) | <0.001 |
35–54 | 202 (53.7) | 333 (88.6) | 318 (84.6) | 211 (56.1) | ||||
55 and over | 36 (47.4) | 59 (77.6) | 59 (77.6) | 27 (35.5) | ||||
Having a pharmaceutical specialization | ||||||||
yes | 103 (50.7) | 0.1 | 173 (85.2) | 0.1 | 174 (85.7) | 0.9 | 108 (53.2) | 0.3 |
no | 248 (57.4) | 386 (89.4) | 370 (85.6) | 248 (57.4) | ||||
Community pharmacy location | ||||||||
rural area | 9 (56.3) | 0.1 | 10 (62.5) | 0.01 | 13 (81.3) | 0.4 | 9 (56.3) | 0.04 |
city <100,000 residents | 164 (50.8) | 282 (87.3) | 270 (83.6) | 176 (54.5) | ||||
city from 100,000 to 50,000 residents | 100 (59.9) | 153 (91.6) | 147 (88.0) | 85 (50.9) | ||||
city >500,000 residents | 78 (60.5) | 114 (88.4) | 114 (88.4) | 86 (66.7) |
Variable | Conviction about the Need for Physician–Pharmacist Collaboration | Belief That the Pharmacist Can Help the Physician in Patient Care | ||
---|---|---|---|---|
OR (95% CI) | p | OR (95% CI) | p | |
Gender | ||||
female | 4.62 (1.49–15.33) | 0.01 | 2.95 (1.35–6.48) | 0.01 |
male | Reference | Reference | ||
Age | ||||
<35 | 6.41 (0.85–48.22) | 0.07 | 3.43 (1.00–11.77) | 0.05 |
35–54 | 3.38 (0.72–15.92) | 0.1 | 2.21 (0.85–5.74) | 0.1 |
55 and over | Reference | Reference | ||
Having a pharmaceutical specialization | ||||
yes | 1.98 (0.44–8.83) | 0.4 | 0.9 (0.39–2.06) | 0.8 |
no | Reference | Reference | ||
Community pharmacy location | ||||
rural area | 0.58 (0.05–6.43) | 0.7 | 0.91 (0.17–4.85) | 0.9 |
city <100,000 residents | 1.52 (0.36–6.32) | 0.6 | 2.08 (0.94–4.56) | 0.07 |
city from 100,000 to 50,000 residents | 1.96 (0.32–12.17) | 0.5 | 8.19 (1.78–37.66) | 0.01 |
city >500,000 residents | Reference | Reference |
Variable | Patient Education on the Use of Medical Equipment (e.g., Glucometer, Nebulizer) | Counseling on Lifestyle Changes in Chronic Diseases | Pharmacotherapy and Adherence Monitoring | Pharmacotherapy and Compliance Monitoring | ||||
---|---|---|---|---|---|---|---|---|
OR (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p | |
Gender | ||||||||
female | 1.72 (0.93–3.19) | 0.08 | 1.30 (0.80–2.10) | 0.3 | 0.67 (0.43–1.04) | 0.07 | 0.94 (0.61–1.43) | 0.9 |
male | Reference | Reference | Reference | Reference | ||||
Age | ||||||||
<35 | 0.84 (0.34–2.05) | 0.7 | 2.08 (1.07–4.05) | 0.03 | 2.16 (1.19–3.94) | 0.01 | 2.06 (1.12–3.77) | 0.02 |
35–54 | 1.43 (0.64–3.23) | 0.4 | 2.53 (1.40–4.55) | 0.002 | 2.28 (1.34–3.88) | 0.002 | 2.22 (1.30–3.80) | 0.004 |
55 and over | Reference | Reference | Reference | Reference | ||||
Having a pharmaceutical specialization | ||||||||
yes | 0.72 (0.39–1.32) | 0.3 | 1.30 (0.81–2.09) | 0.3 | 0.83 (0.57–1.22) | 0.3 | 1.28 (0.86–1.89) | 0.2 |
no | Reference | Reference | Reference | |||||
Community pharmacy location | ||||||||
rural area | Reference | Reference | 0.88 (0.28–2.80) | 0.8 | Reference | |||
city <100,000 residents | 3.77 (1.21–11.72) | 0.02 | 2.02 (0.70–5.87) | 0.2 | 0.53 (0.34–0.83) | 0.01 | 1.50 (0.54–4.19) | 0.4 |
city from 100,000 to 50,000 residents | 5.20 (1.52–17.78) | 0.01 | 2.01 (0.67–6.04) | 0.2 | 0.50 (0.30–0.83) | 0.01 | 2.25 (0.79–6.46) | 0.1 |
city >500,000 residents | 3.35 (1.03–11.59) | 0.04 | 1.93 (0.63–5.90) | 0.2 | Reference | 3.71 (1.26–10.94) | 0.02 | |
Variable | pharmaceutical counseling in minor health problems | detection of polypharmacy | detection of interactions between drugs and dietary supplements | detection of prescribing cascade and recommendations for limiting the number of drugs | ||||
OR (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p | |
Gender | ||||||||
female | 0.90 (0.60–1.36) | 0.6 | 2.40 (1.37–4.20) | 0.002 | 1.61 (0.95–2.75) | 0.08 | 0.82 (0.54–1.25) | 0.4 |
male | Reference | Reference | Reference | Reference | ||||
Age | ||||||||
<35 | 1.61 (0.89–2.90) | 0.1 | 2.76 (1.20–6.36) | 0.02 | 3.72 (1.64–8.45) | 0.002 | 3.74 (2.02–6.90) | <0.001 |
35–54 | 1.20 (0.71–2.02) | 0.5 | 2.12 (1.07–4.20) | 0.03 | 1.85 (0.96–3.57) | 0.07 | 2.54 (1.48–4.38) | <0.001 |
55 and over | Reference | Reference | Reference | Reference | ||||
Having a pharmaceutical specialization | ||||||||
yes | 0.87 (0.61–1.26) | 0.5 | 0.79 (0.45–1.39) | 0.4 | 1.33 (0.78–2.27) | 0.3 | 1.13 (0.78–1.65) | 0.5 |
no | Reference | Reference | Reference | Reference | ||||
Community pharmacy location | ||||||||
rural area | Reference | Reference | Reference | Reference | ||||
city <100,000 residents | 0.82 (0.30–2.27) | 0.7 | 4.08 (1.34–12.47) | 0.01 | 1.07 (0.28–4.04) | 0.9 | 0.85 (0.30–2.43) | 0.8 |
city from 100,000 to 50,000 residents | 1.16 (0.41–3.31) | 0.8 | 5.65 (1.70–18.77) | 0.01 | 1.44 (0.36–5.72) | 0.6 | 0.71 (0.24–2.07) | 0.5 |
city >500,000 residents | 1.23 (0.43–3.55) | 0.7 | 4.23 (1.28–13.99) | 0.02 | 1.53 (0.38–6.23) | 0.6 | 1.48 (0.50–4.40) | 0.5 |
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Wrześniewska-Wal, I.; Pinkas, J.; Ostrowski, J.; Jankowski, M. Pharmacists’ Perceptions of Physician–Pharmacist Collaboration—A 2022 Cross-Sectional Survey in Poland. Healthcare 2023, 11, 2444. https://doi.org/10.3390/healthcare11172444
Wrześniewska-Wal I, Pinkas J, Ostrowski J, Jankowski M. Pharmacists’ Perceptions of Physician–Pharmacist Collaboration—A 2022 Cross-Sectional Survey in Poland. Healthcare. 2023; 11(17):2444. https://doi.org/10.3390/healthcare11172444
Chicago/Turabian StyleWrześniewska-Wal, Iwona, Jarosław Pinkas, Janusz Ostrowski, and Mateusz Jankowski. 2023. "Pharmacists’ Perceptions of Physician–Pharmacist Collaboration—A 2022 Cross-Sectional Survey in Poland" Healthcare 11, no. 17: 2444. https://doi.org/10.3390/healthcare11172444
APA StyleWrześniewska-Wal, I., Pinkas, J., Ostrowski, J., & Jankowski, M. (2023). Pharmacists’ Perceptions of Physician–Pharmacist Collaboration—A 2022 Cross-Sectional Survey in Poland. Healthcare, 11(17), 2444. https://doi.org/10.3390/healthcare11172444