| Literature DB >> 28871009 |
Linan Zeng1,2,3, Youping Li2, Lingli Zhang1,2,3, Guanjian Liu2, Yang Zhang1,3,4, Shangwei Zhen5, Honghao Li5, Xue Song4, Yanjun Duan6, Jiajie Yu2, Xiaodong Wang5.
Abstract
OBJECTIVES: Clinical guidelines have been recognised as an effective way to improve healthcare performance. However, little is known about the uptake and implementation of guidelines by general practitioners in China. The aim of this study was to investigate the guideline use behaviours and needs of practitioners in primary care settings in China.Entities:
Keywords: cross-sectional survey; guidelines; primary care
Mesh:
Year: 2017 PMID: 28871009 PMCID: PMC5588938 DOI: 10.1136/bmjopen-2016-015379
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Characteristics of 155 primary care institutions in the clinical guideline survey, China, 2016
| Total | Institutional level | Region | ||||
| County-level (n=66) | Grass-roots level (n=89) | Eastern (n=39) | Central (n=50) | Western (n=66) | ||
|
| ||||||
| Profession | ||||||
| Physician | 29 (10–116) | 136 (69.25–232.75) | 12 (5–24) | 29 (9–152) | 30 (10–176.75) | 30.5 (10.75–95.75) |
| Nurse | 31 (10–167) | 211.50 (78.75–372.25) | 12 (4–25.50) | 37 (9–203) | 26 (12–262.75) | 33.5 (7–140.25) |
| Practitioner from auxiliary department | 15 (4–43) | 59.50 (30.75–96) | 6 (2–10.50) | 15 (6–61) | 10.5 (3–68) | 15 (4.75–34) |
| Administrative staff | 4 (1–23) | 25 (10–42.25) | 2 (0–4) | 4 (1–25) | 4.5 (1–25.25) | 4 (1–22) |
| Other | 8 (1–30) | 47 (9.75–82.50) | 3 (0–9) | 9 (1–47) | 9 (2–58.50) | 7.5 (1–18.50) |
| Education background | ||||||
| Master’s | 0 (0–3) | 2 (0–10) | 0 (0–1) | 3 (1–12) | 0 (0–3) | 0 (0–1) |
| Bachelor’s | 21 (4–104) | 143.50 (46–305.25) | 7 (2–17) | 42 (8–152) | 14 (4–236) | 17 (4–77.50) |
| College graduate | 35 (7–162) | 199.50 (105.75–310) | 12 (5–31) | 23 (5–170) | 33.5 (8.75–233.75) | 37.5 (2.75–140.50) |
| High school and below | 22 (5–82) | 89.50 (39.50–1737.50) | 8 (2–19.50) | 9 (0–100) | 29 (11–91) | 21.50 (7.25–73.50) |
| Professional title | ||||||
| Senior | 5 (1–28) | 31 (12–71.75) | 1 (0–4) | 9 (1–35) | 5 (1–46.25) | 3.50 (0–20.25) |
| Intermediate | 26 (5–100) | 109 (47.50–217.75) | 8 (2–23) | 32 (8–121) | 25.5 (5–173) | 21.50 (4.75–63) |
| Primary | 43 (16–144) | 191 (88.25–361) | 20 (5–40) | 45 (10–142) | 46 (16.75–234.50) | 40 (16–101.75) |
| None | 9 (1–46) | 53.5 (27.75–145.75) | 3 (0–9) | 3 (0–45) | 7 (3–83) | 19 (2–46.50) |
| Length of service | ||||||
| <5 years | 19 (4–105) | 140.50 (39.50–179) | 6 (2–18) | 37 (4–130) | 11 (4–162) | 20.5 (4.75–62) |
| 5–10 years | 21 (4–73) | 97.50 (39.75–179) | 8 (2–15) | 25 (3–76) | 15 (3.75–114.75) | 21.5 (6–53.25) |
| 10–15 years | 13 (3–50) | 65.50 (27.50–139) | 4 (2–10) | 9 (2–50) | 11.50 (4–71.75) | 15 (3–44.75) |
| ≥15 years | 24 (4–81) | 100.50 (40.75–245.50) | 8 (2–26) | 14 (0–70) | 49.50 (6.50–136) | 18.50 (7.75–65.50) |
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| Radius, km | 10 (3–30) | 34.50 (13.75–52.50) | 4 (2–12) | 3 (1.40–10) | 15 (6.75–40.50) | 15.05 (3.12–4.90) |
| Population covered, in 10 000 | 7 (2.45–33) | 45 (17.72–52.50) | 3.40 (1.65–7.25) | 6 (0.55–33) | 7.25 (2.58–45.75) | 6.90 (2.93–31.45) |
| Beds | 68 (5–350) | 397 (203.75–822.25) | 11 (0–52) | 0 (0–500) | 87.5 (20–657.50) | 70 (17.50–277.50) |
| Annual patient visits, visits/year | 57 670 (13 800–194 372) | 180 812.50 (105 000–332 500) | 23 876 (6643–63 892) | 146 000 (12 000–230 000) | 47 421.50 (13 023.75–27 470.50) | 48 446 (13 873.50–14 175) |
| Annual discharges, discharges/year | 1823 (0–12 750) | 16 000 (6726–30 244.25) | 75 (0–1175) | 0 (0–17 535) | 3075.5 (369.50–27 470.50) | 1550 (112.75–11 075) |
| Physicians’ daily patient load, visits/day | 16.30 (6.50–31) | 17.60 (6.07–35.30) | 16 (6.90–30.50) | 25 (5.5–60) | 15 (5.84–25.75) | 16.35 (7–30) |
| Physicians’ daily burden in inpatient beds per capita, beds/day | 3 (0–7) | 5 (3–8) | 2 (0–5.55) | 0 (0–2.32) | 5 (2–8) | 3.5 (1–7.25) |
| Nursing staff’s daily burden in inpatient beds per capita, beds/day | 3 (0–6) | 3.89 (2–6) | 2 (0–5) | 0 (0–2.30) | 3.2 (2–7.73) | 3 (1.10–6) |
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| Total value of institutional equipment ≥10 000 (¥10 000) | 200 (28–2000) | 2871.31 (437.50–7723.25) | 50 (5–200) | 72 (0–2852.62) | 200 (43.50–3301.50) | 206.50 (41.60–1725) |
| 10 000–50 000 (pieces) | 12 (2–96) | 113 (20–255.5) | 3 (0.50–13) | 2 (0–120) | 14.5 (3–72.25) | 15 (2.75–85.50) |
| ¥50 000–100 000 (pieces) | 4 (1–22) | 25 (6.75–63) | 1 (0–4) | 1 (0–42) | 3.5 (1–19) | 4.5 (0.75–15.25) |
| ¥100 000–500 000 (pieces) | 3 (0–30) | 34 (5–81) | 1 (0–3) | 2 (0–52) | 3 (1–34.75) | 3 (0.75–13.50) |
| ≥¥500 thousand (pieces) | 1 (0–8) | 10 (2–28.25) | 0 (0–1) | 0 (0–12) | 1 (0–7.50) | 0.5 (0–5) |
| Lab techniques† | ||||||
| Routine blood tests | 140 (90.3) | 66 (100.0) | 74 (83.1) | 36 (92.3) | 48 (96.0) | 56 (84.8) |
| Hepatic function tests | 133 (85.8) | 65 (98.5) | 68 (76.4) | 31 (79.5) | 47 (94.0) | 55 (83.3) |
| Renal function tests | 131 (84.5) | 65 (98.5) | 66 (74.2) | 29 (74.4) | 47 (94.0) | 55 (83.3) |
| Stool and urine tests | 132 (85.2) | 65 (98.5) | 67 (75.3) | 31 (79.5) | 45 (90.0) | 56 (84.8) |
| Bacterial cultures | 68 (43.9) | 55 (83.3) | 13 (14.6) | 17 (43.6) | 23 (46.0) | 28 (42.4) |
| Blood concentration monitoring | 15 (9.7) | 13 (19.7) | 2 (2.2) | 4 (10.3) | 6 (12.0) | 5 (7.6) |
| Ultrasonographic techniques† | ||||||
| Black-white ultrasound B scanner | 116 (74.8) | 56 (84.8) | 60 (67.4) | 23 (59.0) | 45 (90.0) | 48 (72.7) |
| Coloured ultrasound B scanner | 111 (71.6) | 66 (100.0) | 45 (50.6) | 30 (76.9) | 34 (68.0) | 47 (71.2) |
| Radiographic techniques† | ||||||
| Plain film | 121 (78.1) | 65 (98.5) | 56 (62.9) | 30 (76.9) | 43 (86.0) | 48 (72.7) |
| CT | 63 (40.6) | 55 (83.3) | 8 (9.0) | 16 (41.0) | 20 (40.0) | 27 (40.9) |
| MRI | 39 (25.2) | 38 (57.6) | 1 (1.1) | 14 (35.9) | 15 (30.0) | 10 (15.2) |
| Angiography | 28 (18.1) | 27 (40.9) | 1 (1.1) | 10 (25.6) | 11 (22.0) | 7 (10.6) |
*Median and IQR.
†Number and percentage.
Professional and demographic characteristics of the 1708 primary care health practitioners participating in the clinical guideline survey, China, 2016
| Characteristics | N (%) | |||||
| Total (n=1708) | Institutional level | Geographical area | ||||
| County | Grass-roots level (n=620) | Eastern (n=350) | Central (n=536) | Western (n=822) | ||
|
| ||||||
| Master’s, doctorate | 43 (2.5) | 25 (2.3) | 18 (2.9) | 15 (4.3) | 15 (2.8) | 13 (1.6) |
| Bachelor’s | 958 (56.1) | 682 (62.7) | 276 (44.5) | 214 (61.1) | 302 (56.3) | 442 (53.8) |
| College and below | 707 (41.4) | 381 (35.0) | 326 (52.6) | 121 (34.6) | 219 (40.9) | 367 (44.6) |
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| Senior | 309 (18.1) | 252 (23.2) | 57 (9.2) | 63 (18.0) | 101 (18.8) | 145 (17.6) |
| Intermediate | 613 (35.9) | 402 (36.9) | 211 (34.0) | 119 (34.0) | 203 (37.9) | 291 (35.4) |
| Primary and below | 786 (46.0) | 434 (39.9) | 352 (56.8) | 168 (48.0) | 232 (43.4) | 386 (47.0) |
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| Physician | 610 (35.7) | 315 (29.0) | 295 (47.6) | 121 (34.6) | 173 (32.3) | 315 (38.4) |
| Nurse | 411 (24.1) | 263 (24.2) | 148 (23.9) | 90 (25.7) | 131 (24.4) | 190 (23.1) |
| Practitioner from auxiliary department | 370 (21.7) | 262 (24.1) | 108 (17.4) | 82 (23.4) | 116 (21.6) | 172 (20.9) |
| Administrative staff | 317 (18.6) | 248 (22.8) | 69 (11.1) | 57 (16.3) | 116 (21.86) | 144 (17.5) |
Knowledge of clinical guidelines among 1708 primary care health practitioners, China, 2016
| Knowledge of guidelines | N (%) | ||||||||||
| Total | Profession* | Professional title* | Education level* | ||||||||
| Physician (n=610) | Nurse (n=411) | Practitioner from auxiliary department (n=370) | Administrative (n=317) | Primary and below (n=786) | Intermediate (n=613) | Senior (n=309) | College and below (n=707) | Bachelor’s (n=958) | Master’s and doctorate (n=43) | ||
| Completely knowledgeable | 760 (44.5) | 301 (49.3) | 146 (35.5) | 186 (50.3) | 127 (40.1) | 212 (27.0) | 346 (56.4) | 202 (65.4) | 232 (32.8) | 495 (51.7) | 33 (76.7) |
| Partially knowledgeable | 808 (47.2) | 248 (40.7) | 237 (57.7) | 160 (43.2) | 161 (50.8) | 473 (60.2) | 232 (37.8) | 101 (32.7) | 375 (53.0) | 421 (43.9) | 10 (23.3) |
| Unaware | 142 (8.3) | 61 (10.0) | 28 (6.8) | 24 (6.5) | 29 (9.1) | 101 (12.8) | 35 (5.7) | 6 (1.9) | 100 (14.1) | 42 (4.4) | 0 (0) |
| Total | 1708 (100.0) | 610 (100) | 411 (100) | 370 (100) | 317 (100) | 786 (100) | 613 (100) | 309 (100) | 707 (100) | 958 (100) | 43 (100) |
*p<0.001.
Behaviours related to clinical guideline use in 1568 primary care health practitioners, China, 2016
| Guideline utilisation | N (%) |
|
| |
| Frequently | 177 (11.3) |
| Often | 556 (35.5) |
| Occasionally | 709 (45.2) |
| Never | 126 (8.0) |
| Sum | 1568 (100.0) |
|
| |
| Public search engines | 911 (63.4) |
| Medical websites | 697 (48.5) |
| Materials distributed by institutions | 575 (40.0) |
| Professional academic journals | 413 (28.7) |
| Chinese biomedical databases | 408 (28.4) |
| Materials distributed by companies | 188 (13.1) |
| Foreign biomedical databases | 69 (4.8) |
| Unaware of how to obtain guidelines | 52 (3.6) |
|
| |
| Chinese guidelines for primary care institutions | 1024 (72.1) |
| Chinese guidelines for all medical institutions | 1006 (70.9) |
| Translated foreign guidelines (Chinese versions) | 261 (18.4) |
| Original foreign guidelines (English versions) | 66 (4.6) |
|
| |
| Lack of training | 778 (49.9) |
| Lack of access | 696 (44.6) |
| Lack of awareness | 592 (38.0) |
| Guidelines not updated in a timely manner | 559 (35.8) |
| Guidelines not sufficiently concise | 525 (33.7) |
| Limited practitioner knowledge | 480 (30.8) |
| Guidelines not practical for implementation at the grass-roots level | 477 (30.6) |
| Lack of oversight mechanisms to ensure medical practice fulfils the clinical recommendations | 329 (21.1) |
| Language barriers | 252 (16.2) |
| Lack of time to review guidelines | 227 (14.6) |
| Others | 5 (0.3) |
*‘Frequently’ was defined as using guidelines on a daily basis. ‘Often’ was defined as using guidelines on a weekly basis. ‘Occasionally’ was defined as using guidelines on a monthly basis.
Attitudes towards clinical guidelines among and needs of 1568 health practitioners, China, 2016
| N (%) | |||||||||||
| Total | Profession | Professional title | Education | ||||||||
| Physician | Nurse | Practitioner from auxiliary department | Administrative staff | Primary | Intermediate | Senior | College and below | Bachelor’s | Master’s and above | ||
|
| |||||||||||
| Entirely applicable | 339 (23.5) | 124 (23.4) | 69 (19.6) | 83 (26.9) | 63 (25.0) | 174 (26.4) | 110 (21.8) | 55 (19.8) | 137 (23.5) | 192 (23.4) | 10 (25.6) |
| Partially applicable | 1030 (71.4) | 377 (71.3) | 264 (75.0) | 212 (68.6) | 177 (70.2) | 448 (68.0) | 369 (73.1) | 213 (76.6) | 408 (70.1) | 596 (72.6) | 26 (66.7) |
| Inapplicable | 31 (2.2) | 14 (2.6) | 5 (1.4) | 5 (1.6) | 7 (2.8) | 17 (2.6) | 9 (1.8) | 5 (1.8) | 13 (2.2) | 15 (1.8) | 3 (7.7) |
| Unaware | 42 (2.9) | 14 (2.6) | 14 (4.0) | 9 (2.9) | 5 (2.0) | 20 (3.0) | 17 (3.4) | 5 (1.8) | 24 (4.1) | 18 (2.2) | 0 (0.0) |
| Sum | 1442 (100.0) | 529 (100.0) | 352 (100.0) | 309 (100.0) | 252 (100.0) | 659 (100.0) | 505 (100.0) | 278 (100.0) | 582 (100.0) | 821 (100.0) | 39 (100.0) |
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| Necessary | 1509 (96.2) | 559 (96.0) | 363 (96.5) | 323 (97.0) | 264 (95.3) | 685 (96.1) | 535 (96.1) | 289 (97.0) | 601 (96.0) | 866 (96.3) | 42 (97.7) |
| Unnecessary | 39 (2.6) | 14 | 10 | 5 | 10 | 18 | 16 (2.9) | 5 (1.7) | 23 (3.7) | 15 (1.7) | 1 (2.3) |
| Do not care | 20 (1.3) | 9 (1.5) | 3 (0.8) | 5 (1.5) | 3 (1.1) | 10 (1.4) | 6 (1.1) | 4 (1.3) | 2 (0.3) | 18 (2.0) | 0 (0.0) |
| Sum | 1568 (100.0) | 582 (100.0) | 376 (100.0) | 333 (100.0) | 277 (100.0) | 713 (100.0) | 557 (100.0) | 298 (100.0) | 626 (100.0) | 899 (100.0) | 43 (100.0) |
Multivariate logistic regression of knowledge of and attitudes towards guidelines
| Dependent variable | Independent variable | Level | OR (95% CI) | p Value |
|
| Institution type | County level | 0.788 (0.625 to 0.992) | 0.043 |
| Grass-roots level | Reference | |||
| Geographical area | Eastern | 0.834 (0.633 to 1.097) | 0.195 | |
| Central | 0.648 (0.510 to 0.825) | <0.001 | ||
| Western | Reference | |||
| Education level | Master’s or doctorate | 5.282 (2.458 to 11.348) | <0.001 | |
| Bachelor’s | 1.876 (1.504 to 2.340) | <0.001 | ||
| High school and below | Reference | |||
| Professional title | Senior | 4.875 (3.606 to 6.592) | <0.001 | |
| Intermediate | 3.648 (2.887 to 4.608) | <0.001 | ||
| Primary or none | Reference | |||
| Profession | Physician | 0.636 (0.470 to 0.862) | 0.004 | |
| Nurse practitioner | 0.614 (0.464 to 0.813) | 0.001 | ||
| Medical tech | 1.196 (0.901 to 1.588) | 0.216 | ||
| Administrative staff | Reference | |||
|
| Institution type | Primary care level | 1.315 (1.007 to 1.718) | 0.045 |
| County level | Reference | |||
| Geographical area | Eastern | 0.205 (0.858 to 1.692) | 0.282 | |
| Central | 0.715 (0.543 to 0.942) | 0.017 | ||
| Western | Reference | |||
| Professional title | Senior | 1.602 (1.127 to 2.279) | 0.009 | |
| Intermediate | 1.356 (1.028 to 1.788) | 0.031 | ||
| Primary or none | Reference |