| Literature DB >> 36245742 |
Wenbin Cui1,2,3, Weijun Zhu2, Xiaojie Li3, Danmai Wu1, Ping He3, Guangjun Yu1,2.
Abstract
Background: Internet hospitals introduced in China have effectively reduced service time and space, promoted high-quality pediatric medical resources to grassroots areas, solved the contradiction between supply and demand of pediatric medical resources, and met patients' increasing multi-level and diversified medical service needs. However, pediatricians' attitudes toward and satisfaction with the use of internet hospitals remain unknown. Objective: This study aimed to investigate pediatricians' knowledge of, use of, and satisfaction with internet hospitals in order to identify major issues in internet hospital development, and to understand pediatricians' attitudes and opinions on the construction, development, and use of internet hospitals. Materials and methods: A total of 625 pediatricians in 17 public tertiary hospitals in Shanghai were surveyed from November 1-30, 2021. Five hundred and thirty four pediatricians completed the survey, and the response rate was 85.44%. Pediatricians' baseline demographic data were collected and information about their use of and satisfaction with internet hospitals.Entities:
Keywords: China; internet hospital; medical resource; pediatrician; perspective
Year: 2022 PMID: 36245742 PMCID: PMC9554531 DOI: 10.3389/fped.2022.948788
Source DB: PubMed Journal: Front Pediatr ISSN: 2296-2360 Impact factor: 3.569
Demographic characteristics of the participants (N = 534).
| Characteristics | Total value | Different types of hospitals | Participated in online services | ||||
| General hospital | Specialized hospital | Yes | No | ||||
| Sample size, | 534 | 169 | 365 | 292 | 242 | ||
|
| 0.645 | 0.006 | |||||
| Male | 146 (27.34) | 44 (26.04) | 102 (27.95) | 94 (32.19) | 52 (21.49) | ||
| Female | 388 (72.66) | 125 (73.96) | 263 (72.05) | 198 (67.81) | 190 (78.51) | ||
|
| <0.001 | 0.002 | |||||
| ≤25 | 23 (4.31) | 9 (5.33) | 14 (3.84) | 8 (2.74) | 15 (6.20) | ||
| 26–35 | 239 (44.76) | 73 (43.20) | 166 (45.48) | 116 (39.73) | 123 (50.83) | ||
| 36–45 | 182 (34.08) | 42 (24.85) | 140 (38.36) | 112 (38.36) | 70 (28.93) | ||
| 46–55 | 69 (12.92) | 33 (19.53) | 36 (9.86) | 47 (16.10) | 22 (9.09) | ||
| >55 | 21 (3.93) | 12 (7.10) | 9 (2.47) | 9 (3.08) | 12 (4.96) | ||
|
| 0.033 | ||||||
| College education | 29 (5.43) | 16 (9.47) | 13 (3.56) | 11 (3.77) | 18 (7.44) | 0.035 | |
| Bachelor degree | 95 (17.79) | 32 (18.93) | 63 (17.26) | 43 (14.73) | 52 (21.49) | ||
| Master’s degree | 259 (48.50) | 74 (43,79) | 185 (50.68) | 149 (51.03) | 110 (45.45) | ||
| Doctoral degree | 151 (28.28) | 47 (27.81) | 104 (28.49) | 89 (30.48) | 62 (25.62) | ||
|
| 0.038 | <0.001 | |||||
| Primary title | 184 (34.46) | 63 (37.28) | 121 (33.15) | 69 (23.63) | 115 (47.52) | ||
| Middle title | 225 (42.13) | 60 (35.50) | 165 (45.21) | 141 (48.29) | 84 (34.71) | ||
| Vice-senior title | 81 (15.17) | 25 (14.79) | 56 (15.34) | 54 (18.49) | 27 (11.16) | ||
| Senior title | 44 (8.24) | 21 (12.43) | 23 (6.30) | 28 (9.59) | 16 (6.61) | ||
|
| 0.128 | 0.003 | |||||
| Less than 3 years | 67 (12.55) | 24 (14.20) | 43 (11.78) | 23 (7.88) | 44 (18.18) | ||
| 3–8 years | 163 (30.52) | 44 (26.04) | 119 (32.60) | 88 (30.14) | 75 (30.99) | ||
| 8–15 years | 139 (26.03) | 39 (23.08) | 100 (27.40) | 84 (28.77) | 55 (22.73) | ||
| More than 15 years | 165 (30.90) | 62 (36.69) | 103 (28.22) | 97 (33.22) | 68 (28.10) | ||
Awareness of internet hospitals among study participants (N = 534).
| Characteristics | Total value | Different types of hospitals | Participated in online services | ||||
| General | Specialized hospital | Yes | No | ||||
| Sample size, | 534 | 169 | 365 | 292 | 242 | ||
|
| 0.005 | <0.001 | |||||
| Very familiar with | 138 (25.84) | 39 (23.08) | 99 (27.12) | 101 (34.59) | 37 (15.29) | ||
| Know a better bit | 237 (44.38) | 64 (37.87) | 173 (47.40) | 134 (45.89) | 103 (45.56) | ||
| Only heard of | 142 (26.59) | 56 (33.14) | 86 (23.56) | 55 (18.84) | 87 (35.95) | ||
| Never heard of | 17 (3.18) | 10 (5.92) | 7 (1.92) | 2 (0.68) | 15 (6.20) | ||
|
| 0.029 | 0.369 | |||||
| Internal training | 451 (84.46) | 129 (76.33) | 322 (88.22) | 263 (90.07) | 188 (77.69) | ||
| Media reports | 266 (49.81) | 97 (57.40) | 169 (46.30) | 140 (47.95) | 126 (52.07) | ||
| Advertising | 174 (32.58) | 71 (42.01) | 103 (28.22) | 99 (33.90) | 75 (30.99) | ||
| Friends and colleagues | 225 (42.13) | 81 (47.93) | 144 (39.45) | 117 (40.07) | 108 (44.63) | ||
| Conference lectures | 149 (27.90) | 48 (28.40) | 101 (27.67) | 88 (30.14) | 61 (25.21) | ||
|
| 0.109 | 0.481 | |||||
| Hospital-led | 444 (83.15) | 121 (71.60) | 323 (88.49) | 251 (85.96) | 193 (79.75) | ||
| Cooperation construction | 343 (64.23) | 115 (68.05) | 228 (62.47) | 207 (70.89) | 136 (56.20) | ||
| Enterprise-platform | 477 (89.33) | 155 (91.72) | 322 (88.22) | 270 (92.47) | 207 (85.54) | ||
|
| 0.567 | <0.001 | |||||
| Yes | 238 (44.57) | 73 (43.20) | 165 (45.21) | 134 (45.89) | 104 (42.98) | ||
| No | 49 (9.18) | 13 (7.69) | 36 (9.86) | 43 (14.73) | 6 (2.48) | ||
| Not clear | 247 (46.25) | 83 (49.11) | 164 (44.93) | 115 (39.38) | 132 (54.55) | ||
|
| 0.489 | 0.007 | |||||
| Yes | 236 (44.19) | 69 (40.83) | 167 (45.75) | 146 (50.00) | 90 (37.19) | ||
| No | 18 (3.37) | 5 (2.96) | 13 (3.56) | 11 (3.77) | 7 (2.89) | ||
| Not clear | 280 (52.43) | 95 (56.21) | 185 (50.68) | 135 (46.23) | 145 (59.92) | ||
|
| 0.905 | 0.976 | |||||
| Overcome geographic constraints | 487 (91.20) | 155 (91.72) | 332 (90.96) | 272 (93.15) | 215 (88.84) | ||
| Save medical costs | 469 (87.83) | 146 (86.39) | 323 (88.49) | 260 (89.04) | 209 (86.36) | ||
| Expand medical services | 430 (80.52) | 146 (86.39) | 284 (77.81) | 246 (84.25) | 184 (76.03) | ||
| Improve resource allocation | 434 (81.27) | 143 (84.62) | 291 (79.73) | 239 (81.85) | 195 (80.58) | ||
| Improve accessibility of healthcare | 383 (71.72) | 127 (75.15) | 256 (70.14) | 215 (73.63) | 168 (69.42) | ||
Current usage of internet hospitals by study participants (N = 534).
| Characteristics | Total value | Launched online services | ||
| Yes | No | |||
| Sample size, | 534 | 292 | 242 | |
|
| 0.052 | |||
| General hospital | 169 (31.65) | 82 (48.52) | 87 (51.48) | |
| Specialized hospital | 365 (68.35) | 210 (57.53) | 155 (42.47) | |
|
| 0.006 | |||
| Male | 146 (27.34) | 94 (64.38) | 52 (35.62) | |
| Female | 388 (72.66) | 198 (51.03) | 190 (48.97) | |
|
| 0.002 | |||
| ≤25 | 23 (4.31) | 8 (34.78) | 15 (65.22) | |
| 26–35 | 239 (44.76) | 116 (48.54) | 123 (51.46) | |
| 36–45 | 182 (34.08) | 112 (61.54) | 70 (38.46) | |
| 46–55 | 69 (12.92) | 47 (68.12) | 22 (31.88) | |
| >55 | 21 (3.93) | 9 (42.86) | 12 (57.14) | |
|
| 0.035 | |||
| College education | 29 (5.43) | 11 (37.93) | 18 (62.07) | |
| Bachelor degree | 95 (17.79) | 43 (45.26) | 52 (54.74) | |
| Master’s degree | 259 (48.50) | 149 (57.53) | 110 (42.47) | |
| Doctoral degree | 151 (28.28) | 89 (58.94) | 62 (41.06) | |
|
| <0.001 | |||
| Primary title | 184 (34.46) | 69 (37.50) | 115 (67.50) | |
| Middle title | 225 (42.13) | 141 (62.67) | 84 (37.33) | |
| Vice-senior title | 81 (15.17) | 54 (66.67) | 27 (33.33) | |
| Senior title | 44 (8.24) | 28 (63.64) | 16 (36.36) | |
|
| 0.003 | |||
| Less than 3 years | 67 (12.55) | 23 (34.33) | 44 (65.67) | |
| 3–8 years | 163 (30.52) | 88 (53.99) | 75 (46.01) | |
| 8–15 years | 139 (26.03) | 84 (60.43) | 55 (39.57) | |
| More than 15 years | 165 (30.90) | 97 (58.79) | 68 (41.21) | |
FIGURE 1Internet hospital services provided by 292 pediatricians (%).
FIGURE 2Online working time and number of patients served (N = 292).
Pediatricians’ satisfaction with internet hospitals (N = 292).
| Characteristics | Mean ± SD | |||
| Sample size | 292 (100) | 3.59 ± 0.92 | ||
|
| 0.000 | 0.994 | ||
| General hospital | 82 (48.52) | 3.59 ± 0.83 | ||
| Specialized hospital | 210 (57.53) | 3.59 ± 0.95 | ||
|
| 0.121 | 0.728 | ||
| Male | 94 (64.38) | 3.56 ± 0.90 | ||
| Female | 198 (51.03) | 3.60 ± 0.93 | ||
|
| 3.204 | 0.014 | ||
| ≤25 | 8 (34.78) | 3.59 ± 1.53 | ||
| 26–35 | 116 (48.54) | 3.81 ± 0.92 | ||
| 36–45 | 112 (61.54) | 3.39 ± 0.86 | ||
| 46–55 | 47 (68.12) | 3.54 ± 0.85 | ||
| >55 | 9 (42.86) | 3.49 ± 0.86 | ||
|
| 0.630 | 0.596 | ||
| College education | 11 (37.93) | 3.69 ± 1.36 | ||
| Bachelor degree | 43 (45.26) | 3.73 ± 0.93 | ||
| Master’s degree | 149 (57.53) | 3.59 ± 0.90 | ||
| Doctoral degree | 89 (58.94) | 3.50 ± 0.89 | ||
|
| 4.166 | 0.007 | ||
| Primary title | 69 (37.50) | 3.92 ± 0.90 | ||
| Middle title | 141 (62.67) | 3.48 ± 0.95 | ||
| Vice-senior title | 54 (66.67) | 3.47 ± 0.79 | ||
| Senior title | 28 (63.64) | 3.56 ± 0.89 | ||
|
| 1.779 | 0.151 | ||
| Less than 3 years | 23 (34.33) | 3.61 ± 1.17 | ||
| 3–8 years | 88 (53.99) | 3.77 ± 0.91 | ||
| 8–15 years | 84 (60.43) | 3.50 ± 0.83 | ||
| More than 15 years | 97 (58.79) | 3.50 ± 0.92 |
Multivariate analysis of factors influencing pediatricians’ satisfaction with internet hospitals.
| Variables | Sum of squares | Degrees of freedom | Mean squares | ||
| User experience | 0.658 | 3 | 0.219 | 182.528 | <0.001 |
| System functions | 0.503 | 3 | 0.168 | 139.454 | <0.001 |
| Operation processes | 0.812 | 3 | 0.271 | 225.149 | <0.001 |
| Duration of single consultation | 1.317 | 4 | 0.329 | 273.824 | <0.001 |
| Service prices | 0.653 | 4 | 0.163 | 135.703 | <0.001 |
| Performance incentive | 0.781 | 4 | 0.195 | 162.389 | <0.001 |
FIGURE 3Problems of internet hospitals (%).
FIGURE 4Pediatricians’ attitudes toward internet hospitals (%).