| Literature DB >> 27439446 |
Qian Shen1,2, Caijun Yang1,2, Jie Chang1,2, Lina Wu1,2, Wenwen Zhu1,2, Bing Lv1,2, Dan Ye1,2, Shimin Yang1,2, Yu Fang3,4.
Abstract
BACKGROUND: In 2009, Chinese government launched a new healthcare reform, one of the key points of which is to establish National Essential Medicine System (NEMS). Hospital pharmacists are directly related to the implementation of NEMS. This study is to examine knowledge of and attitudes towards the implementation of the NEMS among hospital pharmacists in western China.Entities:
Keywords: Attitudes; Knowledge; National Essential Medicines System (NEMS); Pharmacists; Primary healthcare institution; Public secondary/tertiary hospital
Mesh:
Substances:
Year: 2016 PMID: 27439446 PMCID: PMC4955209 DOI: 10.1186/s12913-016-1537-9
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Demographic characteristics of hospital pharmacists in Shaanxi Province
| Demographic information | Public secondary/tertiary hospitals | Primary healthcare institutions | Overall |
|
|---|---|---|---|---|
| Sex | 0.324 | |||
| Male | 199 (37.9) | 60 (33.5) | 259 (36.8) | |
| Female | 326 (62.1) | 119 (66.5) | 445 (63.2) | |
| Age group (years) | 0.516 | |||
| ≤ 25 | 36 (6.9) | 10 (5.6) | 46 (6.5) | |
| 26–35 | 161 (30.7) | 61 (34.1) | 222 (31.5) | |
| 36–45 | 186 (35.4) | 67 (37.4) | 253 (35.9) | |
| 46–55 | 125 (23.8) | 33 (18.4) | 158 (22.4) | |
| ≥ 56 | 17 (3.2) | 8 (4.5) | 25 (3.6) | |
| Working years group | 0.272 | |||
| ≤ 5 | 101 (19.2) | 28 (15.6) | 129 (18.3) | |
| 6–10 | 70 (13.3) | 35 (19.6) | 105 (14.9) | |
| 11–20 | 147 (28.0) | 53 (29.6) | 200 (28.4) | |
| 21–30 | 164 (31.2) | 50 (27.9) | 214 (30.4) | |
| ≥ 31 | 43 (8.2) | 13 (7.3) | 56 (8.0) | |
| Education level | <0.001 | |||
| Master and above | 28 (5.3) | 1 (0.6) | 29 (4.1) | |
| Bachelor | 251 (47.8) | 45 (25.1) | 296 (42.0) | |
| College | 182 (34.7) | 100 (55.9) | 282 (40.1) | |
| Secondary school or below | 64 (12.2) | 33 (18.4) | 97 (13.8) | |
| Technical title | <0.001 | |||
| Senior | 96 (18.3) | 9 (5.0) | 105 (14.9) | |
| Intermediate | 275 (52.4) | 83 (46.4) | 358 (50.9) | |
| Junior | 144 (27.4) | 75 (41.9) | 219 (31.1) | |
| None | 10 (1.9) | 12 (6.7) | 22 (3.1) | |
| Number of training sessions received | 0.068 | |||
| None | 160 (30.5) | 74 (41.3) | 234 (33.2) | |
| 1–2 courses | 303 (57.7) | 87 (48.6) | 390 (55.4) | |
| 3–5 courses | 54 (10.3) | 16 (8.9) | 70 (9.9) | |
| More than 5 courses | 8 (1.5) | 2 (1.1) | 10 (1.4) | |
All p-values are based on chi-square analysis
Knowledge level of hospital pharmacists about the NEMS
| Items | Correct answers |
| ||
|---|---|---|---|---|
| Public secondary/tertiary hospitals | Primary healthcare institutions | Overall | ||
| Q10. The official implementation time of NEMS is 2009. | 455 (86.7) | 156 (87.2) | 611 (86.8) | 0.869 |
| Q11. National Essential Medicines List (NEML) is adjusted every 2 years in principle. | 113 (21.5) | 38 (21.2) | 151 (21.4) | 0.934 |
| Q12. There are a total of 307 drugs in the latest version of “National Essential Medicines List”. | 319 (60.8) | 107 (59.8) | 426 (60.5) | 0.816 |
| Q13. Essential medicines are for provincial centralized procurement and unified distribution | 415 (79.0) | 132 (73.7) | 547 (77.7) | 0.141 |
| Q14. Zero mark-up policy is implemented in the NEMS. | 461 (87.8) | 141 (78.8) | 602 (85.5) | 0.003 |
| Q15. Medicare insurance reimbursement of essential medicines is the same as non-essential medicines. | 404 (77.0) | 137 (76.5) | 541 (76.8) | 0.909 |
Attitudes towards the implementation of NEMS
| Items | Public secondary/tertiary hospitals | Primary healthcare institutions | Overall | Mean ± SD |
|
|---|---|---|---|---|---|
| Q17. The effect of implementation of NEMS is satisfactory at present. | 3.28 ± 0.76 | 0.419 | |||
| Strongly agree | 22 (4.2) | 9 (5.0) | 31 (4.4) | ||
| Agree | 156 (29.7) | 66 (36.9) | 222 (31.5) | ||
| Neither agree nor disagree | 294 (56.0) | 86 (48.0) | 380 (54.0) | ||
| Disagree | 41 (7.8) | 14 (7.8) | 55 (7.8) | ||
| Strongly disagree | 12 (2.3) | 4 (2.2) | 16 (2.3) | ||
| Q18. The implementation of NEMS could guarantee the basic medical needs of the population. | 3.50 ± 0.80 | 0.812 | |||
| Strongly agree | 36 (6.9) | 16 (8.9) | 52 (7.4) | ||
| Agree | 243 (46.3) | 86 (48.0) | 329 (46.7) | ||
| Neither agree nor disagree | 189 (36.0) | 61 (34.1) | 250 (35.5) | ||
| Disagree | 52 (9.9) | 15 (8.4) | 67 (9.5) | ||
| Strongly disagree | 5 (1.0) | 1 (0.6) | 6 (0.9) | ||
| Q19. The implementation of NEMS could reduce the healthcare burden of the population. | 3.61 ± 0.85 | 0.425 | |||
| Strongly agree | 55 (10.5) | 23 (12.8) | 78 (11.1) | ||
| Agree | 273 (52.0) | 88 (49.2) | 361 (51.3) | ||
| Neither agree nor disagree | 135 (25.7) | 50 (27.9) | 185 (26.3) | ||
| Disagree | 59 (11.2) | 15 (8.4) | 74 (10.5) | ||
| Strongly disagree | 3 (0.6) | 3 (1.7) | 6 (0.9) | ||
| Q20. The implementation of NEMS could improve rational drug use. | 3.63 ± 0.76 | 0.106 | |||
| Strongly agree | 39 (7.4) | 20 (11.2) | 59 (8.4) | ||
| Agree | 284 (54.1) | 104 (58.1) | 388 (55.1) | ||
| Neither agree nor disagree | 164 (31.2) | 39 (21.8) | 203 (28.8) | ||
| Disagree | 35 (6.7) | 14 (7.8) | 49 (7.0) | ||
| Strongly disagree | 3 (0.6) | 2 (1.1) | 5 (0.7) | ||
| Q21. The implementation of NEMS could change the working mode of hospital pharmacy. | 3.27 ± 0.86 | 0.065 | |||
| Strongly agree | 21 (4.0) | 9 (5.0) | 30 (4.3) | ||
| Agree | 195 (37.1) | 85 (47.5) | 280 (39.8) | ||
| Neither agree nor disagree | 191 (36.4) | 59 (33.0) | 250 (35.5) | ||
| Disagree | 111 (21.1) | 25 (14.0) | 136 (19.3) | ||
| Strongly disagree | 7 (1.3) | 1 (0.6) | 8 (1.1) | ||
| Q22. The implementation of NEMS could reduce the medical staff’s incomes. | 3.07 ± 0.97 | 0.653 | |||
| Strongly agree | 29 (5.5) | 13 (7.3) | 42 (6.0) | ||
| Agree | 165 (31.4) | 49 (27.4) | 214 (30.4) | ||
| Neither agree nor disagree | 157 (29.9) | 57 (31.8) | 214 (30.4) | ||
| Disagree | 159 (30.3) | 57 (31.8) | 216 (30.7) | ||
| Strongly disagree | 15 (2.9) | 3 (1.7) | 18 (2.6) | ||
Multiple linear regression analysis showing predictors of knowledge levels on the NEMS
| No. | β |
| 95 % CI of β |
|---|---|---|---|
| Model 1 | |||
| Constant | 3.806 | <0.001 | 3.530–4.082 |
| Education level | 0.142 | 0.012 | 0.031–0.254 |
| Model 2 | |||
| Constant | 3.573 | <0.001 | 3.229–3.917 |
| Education level | 0.131 | 0.022 | 0.019–0.242 |
| Number of training sessions received | 0.145 | 0.028 | 0.016–0.274 |
CI confidence interval