| Literature DB >> 31694628 |
Sun Mi Shin1,2, Hong-Ah Kim1, Inmyung Song3, Ha-Lim Jeon2, Ju-Young Shin4.
Abstract
BACKGROUND: Since December 2010, a nationwide real-time medication surveillance program has been implemented in Korea to prevent potential adverse drug reactions. Our goal was to evaluate physicians' and pharmacists' satisfaction and clinical needs for the medication surveillance program in Korea.Entities:
Keywords: Clinical needs; Healthcare providers; Medication surveillance; Satisfaction; Survey
Mesh:
Year: 2019 PMID: 31694628 PMCID: PMC6836451 DOI: 10.1186/s12913-019-4686-9
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1History of the National Medication Surveillance Program in Korea (Source: Personal collection)
Characteristics of survey respondents: physicians and pharmacists in South Korea
| Characteristics | Total no. of respondents | (%) | Physicians (%) | Pharmacists (%) | |||
|---|---|---|---|---|---|---|---|
| Gender | <.0001 | ||||||
| Male | 579 | (51.7) | 366 | (72.8) | 213 | (34.5) | |
| Female | 541 | (48.3) | 137 | (27.2) | 404 | (65.5) | |
| Age (years) | <.0001 | ||||||
| 20–29 | 106 | (9.5) | 25 | (5.0) | 81 | (13.1) | |
| 30–39 | 437 | (39.0) | 206 | (41.0) | 231 | (37.4) | |
| 40–49 | 294 | (26.3) | 128 | (25.4) | 166 | (26.9) | |
| 50–59 | 180 | (16.1) | 89 | (17.7) | 91 | (14.7) | |
| 60+ | 103 | (9.2) | 55 | (10.9) | 48 | (7.8) | |
| Region | 0.04 | ||||||
| Seoul | 475 | (42.4) | 223 | (44.3) | 252 | (40.0) | |
| Gyeonggi-do | 217 | (19.4) | 97 | (19.3) | 120 | (19.4) | |
| Incheon | 40 | (3.6) | 16 | (3.2) | 24 | (3.9) | |
| Gangwon-do | 29 | (2.6) | 12 | (2.4) | 17 | (2.8) | |
| Daejeon | 36 | (3.2) | 12 | (2.4) | 24 | (3.9) | |
| Chungcheongbuk-do | 20 | (1.8) | 16 | (3.2) | 4 | (0.6) | |
| Chungcheongnam-do | 28 | (2.5) | 17 | (3.4) | 11 | (1.8) | |
| Gwangju | 18 | (1.6) | 8 | (1.6) | 10 | (1.6) | |
| Jeollabuk-do | 31 | (2.8) | 15 | (3.0) | 16 | (2.6) | |
| Jeollanam-do | 21 | (1.9) | 8 | (1.6) | 13 | (2.1) | |
| Daegu | 52 | (4.6) | 18 | (3.6) | 34 | (5.5) | |
| Ulsan | 16 | (1.4) | 5 | (1.0) | 11 | (1.8) | |
| Busan | 65 | (5.8) | 26 | (5.2) | 39 | (6.3) | |
| Gyeongsangbuk-do | 26 | (2.3) | 11 | (2.2) | 15 | (2.4) | |
| Gyeongsangnam-do | 36 | (3.2) | 18 | (3.6) | 18 | (2.9) | |
| Jeju | 10 | (0.9) | 1 | (0.2) | 9 | (1.5) | |
| Career (years) | 0.68 | ||||||
| 0–4 | 298 | (26.6) | 126 | (25.0) | 172 | (27.9) | |
| 5–9 | 236 | (21.1) | 98 | (19.5) | 138 | (22.4) | |
| 10–14 | 193 | (17.2) | 92 | (18.3) | 101 | (16.4) | |
| 15–19 | 97 | (8.7) | 44 | (8.7) | 53 | (8.6) | |
| 20+ | 250 | (22.3) | 114 | (22.7) | 136 | (22.0) | |
| Missing | 46 | (4.1) | 29 | (5.8) | 17 | (2.8) | |
| Hospital or Pharmacy type | <.0001 | ||||||
| Tertiary hospital/ Hospital pharmacy | 469 | (41.9) | 215 | (42.7) | 254 | (41.2) | |
| Hospital/Pharmacy nearby hospital | 228 | (20.4) | 68 | (13.5) | 160 | (25.9) | |
| Clinic/Community pharmacy | 366 | (32.7) | 201 | (40.0) | 165 | (26.7) | |
| Missing | 57 | (5.0) | 19 | (3.8) | 38 | (6.2) | |
| Total | 1120 | (100.0) | 503 | (44.9) | 617 | (55.1) | |
*p-value was calculated using chi-square test
Healthcare providers’ satisfaction with the medication surveillance program in South Korea
| Statement | Frequency (%) | |||||
|---|---|---|---|---|---|---|
| Strongly unsatisfied | Unsatisfied | Neutral | Satisfied | Strongly satisfied | ||
| Are you satisfied with the medication surveillance? | 27 (2.4) | 61 (5.5) | 323 (29.0) | 488 (43.9) | 213 (19.2) | < 0.001 |
| Physicians | 22 (4.4) | 49 (9.8) | 151 (30.2) | 210 (42.0) | 68 (13.6) | |
| Pharmacists | 5 (0.8) | 12 (2.0) | 172 (28.1) | 278 (45.4) | 145 (23.7) | |
| Do you think the medication surveillance has improved the following? | ||||||
| Prevention of adverse drug reactions | 21 (1.9) | 103 (9.3) | 278 (25.0) | 468 (42.1) | 241 (21.7) | < 0.001 |
| Physicians | 19 (3.8) | 70 (14.1) | 133 (26.7) | 197 (39.6) | 79 (15.9) | |
| Pharmacists | 2 (0.3) | 33 (5.4) | 145 (23.7) | 271 (44.2) | 162 (26.4) | |
| Decrease in therapeutic duplication | 17 (1.5) | 65 (5.8) | 165 (14.8) | 440 (39.5) | 426 (38.3) | < 0.001 |
| Physicians | 13 (2.6) | 34 (6.8) | 86 (17.2) | 204 (40.8) | 163 (32.6) | |
| Pharmacists | 4 (0.7) | 31 (5.1) | 79 (12.9) | 236 (38.5) | 263 (42.9) | |
| Decrease in drug overuse | 27 (2.4) | 112 (10.1) | 269 (24.2) | 432 (38.8) | 272 (24.5) | < 0.001 |
| Physicians | 23 (4.6) | 52 (10.4) | 115 (23.0) | 197 (39.5) | 112 (22.4) | |
| Pharmacists | 4 (0.7) | 60 (9.8) | 154 (25.1) | 235 (38.3) | 160 (26.1) | |
*p-value was calculated using chi-square test
Logistic regression model of factors associated with healthcare professionals’ satisfaction with the medication surveillance program
| Independent variables | OR (95% CI) | Adjusted OR (95% CI)a |
|---|---|---|
| Profession | ||
| Physician | 1.00 | 1.00 |
| Pharmacists | 2.02 (1.62–2.52) | 2.13 (1.65–2.76) |
| Gender | ||
| Male | 1.00 | 1.00 |
| Female | 1.07 (0.87–1.33) | 1.00 (0.77–1.31) |
| Age (years) | ||
| 20–29 | 1.00 | 1.00 |
| 30–39 | 0.94 (0.64–1.39) | 1.18 (0.75–1.87) |
| 40–49 | 1.03 (0.68–1.55) | 1.04 (0.61–1.76) |
| 50–59 | 1.63 (1.05–2.55) | 1.72 (0.93–3.17) |
| 60+ | 2.20 (1.33–3.64) | 2.63 (1.36–5.09) |
| Region | ||
| Metropolitan | 1.00 | 1.00 |
| City | 1.12 (0.83–1.50) | 0.99 (0.72–1.36) |
| Rural | 1.16 (0.87–1.54) | 1.07 (0.78–1.47) |
| Career (years) | ||
| < 5 | 1.00 | 1.00 |
| 5–9 | 0.83 (0.61–1.14) | 0.80 (0.56–1.13) |
| 10–14 | 1.11 (0.80–1.55) | 1.07 (0.73–1.57) |
| 15–19 | 1.13 (0.74–1.73) | 1.05 (0.64–1.74) |
| 20+ | 1.56 (1.14–2.12) | 1.06 (0.68–1.66) |
| Hospital or Pharmacy type | ||
| Tertiary hospital/Hospital pharmacy | 1.00 | 1.00 |
| Hospital/Pharmacy nearby hospital | 1.85 (1.38–2.49) | 1.62 (1.18–2.21) |
| Clinic/Community pharmacy | 1.33 (1.03–1.71) | 1.22 (0.92–1.61) |
AOR Adjusted odds ratio, IC Confidence interval
aAdjusted for profession, gender, age, region, years of practice, type of medical institution or pharmacy, and specialty
Usefulness of the medication surveillance program in a clinical setting per total respondents: physicians and pharmacists
| Medication surveillance program | Frequency (%) | |||||
|---|---|---|---|---|---|---|
| Very un-useful | Somewhat un-useful | Neutral | Somewhat useful | Very useful | ||
| Drug–drug interaction | 11 (1.0) | 49 (4.4) | 133 (12.0) | 299 (26.9) | 618 (55.7) | < 0.001 |
| Physicians | 10 (2.0) | 34 (6.8) | 64 (12.9) | 161 (32.4) | 228 (45.9) | |
| Pharmacists | 1 (0.2) | 15 (2.4) | 69 (11.3) | 138 (22.5) | 390 (63.6) | |
| Age contraindication: Pediatric, Elderly | 20 (1.8) | 59 (5.3) | 226 (20.4) | 361 (32.5) | 444 (40.0) | < 0.001 |
| Physicians | 17 (3.4) | 39 (7.8) | 129 (26.0) | 166 (33.4) | 146 (29.4) | |
| Pharmacists | 3 (0.5) | 20 (3.3) | 97 (15.8) | 195 (31.8) | 298 (48.6) | |
| Pregnancy contraindication | 28 (2.5) | 58 (5.2) | 198 (17.9) | 295 (26.7) | 526 (47.6) | < 0.001 |
| Physicians | 24 (4.9) | 38 (7.7) | 101 (20.4) | 143 (28.9) | 188 (38.1) | |
| Pharmacists | 4 (0.7) | 20 (3.3) | 97 (15.9) | 152 (24.9) | 338 (55.3) | |
| Therapeutic duplication | 18 (1.6) | 76 (6.9) | 245 (22.2) | 361 (32.6) | 406 (36.7) | < 0.001 |
| Physicians | 17 (3.4) | 45 (9.1) | 131 (26.5) | 172 (34.8) | 129 (26.1) | |
| Pharmacists | 1 (0.2) | 31 (5.1) | 114 (18.6) | 189 (30.9) | 277 (45.3) | |
* p-value was calculated using chi-square test
Additional safety information most needed per total respondents: physicians and pharmacists
| Safety information | Frequency (%) | ||||||
|---|---|---|---|---|---|---|---|
| Total | Physicians | Pharmacists | |||||
| Liver or kidney disease–drug interaction | 512 | (48.7) | 255 | (55.0) | 257 | (43.7) | < 0.001 |
| Drug allergy | 356 | (33.8) | 147 | (31.7) | 209 | (35.5) | 0.02 |
| Clinical abuse, misuse | 143 | (13.6) | 49 | (10.6) | 94 | (16.0) | < 0.001 |
| Precautions due to gender | 41 | (3.9) | 13 | (2.8) | 28 | (4.8) | 0.21 |
| Total | 1052 | 100 | 464 | 100 | 588 | 100 | |
* p-value was calculated using two-sample Z test
Characteristics of survey respondents regarding the medication surveillance program
| Characteristics | Physicians | Pharmacists | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Total national population (%) | No. of respondents (%) | Total national population (%) | No. of respondents (%) | |||||||
| Gender | ||||||||||
| Male | 81,000 | (81.0) | 366 | (72.8) | < 0.01 | 14,000 | (38.9) | 213 | (34.5) | 0.04 |
| Female | 19,000 | (19.0) | 137 | (27.2) | 0.02 | 22,000 | (61.1) | 404 | (65.5) | 0.04 |
| Region | ||||||||||
| Seoul | 27,490 | (29.5) | 223 | (44.3) | < 0.01 | 8215 | (25.4) | 252 | (40.0) | < 0.01 |
| Gyeonggi-do | 17,564 | (19.0) | 97 | (19.3) | 0.80 | 6966 | (21.3) | 120 | (19.4) | 0.24 |
| Incheon | 4170 | (4.5) | 16 | (3.2) | 0.17 | 1503 | (4.6) | 24 | (3.9) | 0.10 |
| Gangwon-do | 2492 | (2.7) | 12 | (2.4) | 0.70 | 893 | (2.7) | 17 | (2.8) | 0.92 |
| Daejeon | 3316 | (3.6) | 12 | (2.4) | 0.16 | 1083 | (3.3) | 24 | (3.9) | 0.13 |
| Chungcheongbuk-do | 2249 | (2.4) | 16 | (3.2) | 0.24 | 939 | (3.0) | 4 | (0.6) | < 0.01 |
| Chungcheongnam-do | 2859 | (3.1) | 17 | (3.4) | 0.67 | 1161 | (3.6) | 11 | (1.8) | 0.02 |
| Gwangju | 3176 | (3.4) | 8 | (1.6) | 0.03 | 1082 | (3.3) | 10 | (1.6) | 0.02 |
| Jeollabuk-do | 3369 | (3.6) | 15 | (3.0) | 0.46 | 1270 | (3.9) | 16 | (2.6) | 0.10 |
| Jeollanam-do | 2898 | (3.1) | 8 | (1.6) | 0.05 | 1156 | (3.5) | 13 | (2.1) | 0.05 |
| Daegu | 5247 | (5.6) | 18 | (3.6) | 0.05 | 7161 | (5.5) | 34 | (5.5) | 0.96 |
| Ulsan | 1545 | (1.7) | 5 | (1.0) | 0.25 | 601 | (1.8) | 11 | (1.8) | 0.94 |
| Busan | 7386 | (8.0) | 26 | (5.2) | 0.02 | 2370 | (7.3) | 39 | (6.3) | 0.33 |
| Gyeongsangbuk-do | 3475 | (3.7) | 11 | (2.2) | 0.07 | 1392 | (4.3) | 15 | (2.4) | 0.02 |
| Gyeongsangnam-do | 4778 | (5.1) | 18 | (3.6) | 0.12 | 1740 | (5.4) | 18 | (2.9) | < 0.01 |
| Jeju | 961 | (1.0) | 1 | (0.2) | 0.06 | 363 | (1.1) | 9 | (1.5) | 0.36 |
* p-value was calculated with the two-sample Z test
Logistic regression model of factors associated with healthcare professionals’ satisfaction with the medication surveillance program
| Characteristics | Total no. of respondentsa | (%) | OR (95% CI) (modeling the likelihood of being classified into a higher level of satisfaction) |
|---|---|---|---|
| Specialty | |||
| Family medicine | 53 | (10.5) | 1.00 |
| Internal medicine | 72 | (14.3) | 1.16 (0.60–0.22) |
| Anesthesiology | 23 | (4.6) | 0.69 (0.28–1.70) |
| Radiation oncology | 2 | (0.4) | 0.37 (0.03–4.83) |
| Urology | 21 | (4.2) | 1.41 (0.55–3.59) |
| Obstetrics & Gynecology | 41 | (8.2) | 0.70 (0.33–1.48) |
| Plastic surgery | 1 | (0.2) | 34.62 (0.53 to > 999.99) |
| Pediatrics & Adolescent medicine | 29 | (5.8) | 0.80 (0.35–1.84) |
| Neurology | 27 | (5.4) | 0.27 (0.12–0.63) |
| Neurosurgery | 9 | (1.8) | 0.79 (0.22–2.89) |
| Ophthalmology | 4 | (0.8) | 4.42 (0.79–24.67) |
| Radiology | 11 | (2.2) | 2.95 (0.88–9.94) |
| Preventive Medicine | 1 | (0.2) | 2.33 (0.06–92.87) |
| General surgery | 18 | (3.6) | 1.15 (0.13–3.08) |
| Emergency medicine | 7 | (1.4) | 0.78 (0.18–3.28) |
| Otorhinolaryngology | 25 | (5.0) | 0.45 (0.19–1.09) |
| Rehabilitation medicine | 15 | (3.0) | 1.09 (0.38–3.12) |
| Neuropsychiatry | 14 | (2.8) | 1.22 (0.41–3.62) |
| Dentistry | 22 | (4.4) | 2.09 (0.83–5.27) |
| Dermatology | 39 | (7.8) | 1.02 (0.48–2.18) |
| Thoracic & Cardiovascular surgery | 5 | (1.0) | 0.82 (0.15–4.38) |
| Orthopedics | 12 | (2.4) | 0.67 (0.21–2.11) |
| Others | 16 | (3.2) | 2.21 (0.80–6.11) |
| Missing | 36 | (7.2) | |
| Total | 503 | (100) | |
aPhysicians may have two or more specialties