| Literature DB >> 36201444 |
Wenwei Liu1,2, Huimin Zhang2, Haichen Zhang3, Tongzhou Lyu4, Suwei Yuan5,6.
Abstract
BACKGROUND: Although the appropriateness of hospital utilization of adults and the elderly in China was audited by several studies, the appropriateness of hospital use by children in Shanghai remains to be determined. This study aims to assess the level of inappropriate hospital admissions and hospital days, to detect factors associated with inappropriateness, and to elucidate reasons for inappropriateness.Entities:
Mesh:
Year: 2022 PMID: 36201444 PMCID: PMC9536573 DOI: 10.1371/journal.pone.0275645
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Identification for inclusion and exclusion of records.
Distribution of inappropriate admissions and hospital days by patients’ characteristics.
| Admissions | Hospital stay | |||||
|---|---|---|---|---|---|---|
| Appropriate n (%) | Inappropriate n (%) |
| Appropriate n (%) | Inappropriate n (%) |
| |
| Gender | ||||||
| Male | 98 (62.8) | 58 (37.2) | 0.622 | 583 (93.9) | 38 (6.1) | <0.001 |
| Female | 81 (60.0) | 54 (40.0) | 729 (88.0) | 99 (12.0) | ||
| Age | ||||||
| 0.5 < and ≤ 5 | 10 (71.4) | 4 (28.6) | 0.198 | 19 (95.0) | 1 (5.0) | 0.786 |
| 5 < and ≤ 9.5 | 37 (52.9) | 33 (47.1) | 212 (95.1) | 11 (4.9) | ||
| 9.5 < and ≤ 14 | 132 (63.8) | 75 (36.2) | 1081 (89.6) | 125 (10.4) | ||
| Residence | ||||||
| Shanghai | 108 (72.5) | 41 (27.5) | <0.001 | 647 (89.7) | 74 (10.3) | 0.347 |
| Non-Shanghai | 71 (50.0) | 71 (50.0) | 665 (91.3) | 63 (8.7) | ||
| Payment method | ||||||
| Self-pay | 109 (59.9) | 73 (40.1) | 0.462 | 676 (87.3) | 98 (12.7) | <0.001 |
| Insured | 70 (64.2) | 39 (35.8) | 636 (94.2) | 39 (5.8) | ||
| Day of admission | ||||||
| Holiday | 59 (67.0) | 29 (33.0) | 0.201 | - | - | |
| Working day | 120 (59.1) | 83 (40.9) | ||||
| Admission time | (missing = 2) | |||||
| 08:00–11:59 | 113 (62.4) | 68 (37.8) | 0.287 | - | - | |
| 12:00–17:59 | 58 (47.4) | 43 (42.8) | ||||
| 18:00–07:59 | 6 (85.7) | 1 (14.3) | ||||
| Admission route | ||||||
| Outpatient | 168 (63.4) | 97 (36.6) | 0.035 | 1032 (90.9) | 103 (9.1) | <0.001 |
| Emergency | 11 (42.3) | 15 (57.7) | 280 (89.2) | 34 (10.8) | ||
| Readmission | ||||||
| Yes | 81 (69.2) | 36 (30.8) | 0.026 | 714 (88.7) | 91 (11.3) | <0.001 |
| No | 98 (56.3) | 76 (43.7) | 598 (92.9) | 46 (7.1) | ||
| Service type | ||||||
| Surgical | 67 (45.9) | 79 (54.1) | <0.001 | 496 (95.2) | 25 (4.8) | <0.001 |
| Medical | 112 (77.2) | 33 (22.8) | 816 (87.9) | 112 (12.1) | ||
| Comorbidity | ||||||
| Yes | 58 (65.9) | 30 (34.1) | 0.310 | 570 (96.4) | 21 (3.6) | <0.001 |
| No | 121 (59.6) | 82 (40.4) | 742 (86.5) | 116 (13.5) | ||
| Length of stay | - | - | 4.51 (0.33) | 3.04 (3.78) | - | |
| Admission type | ||||||
| Appropriate | - | - | 852 (94.7) | 48 (5.3) | <0.001 | |
| Inappropriate | - | - | 460 (83.8) | 89 (16.2) | ||
*average lengths of appropriate and inappropriate days per hospitalization (SD).
Univariate analysis results.
| Admissions | Hospital stay | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI |
| Percentage of inappropriate days % (SD) |
| ||
| Lower | Upper | |||||
| Gender | ||||||
| Male | 0.89 | 0.553 | 1.425 | 0.622 | 5.45 (17.23) | 0.694 |
| Female | - | - | - | - | 6.26 (17.87) | |
| Age | ||||||
| 0.5 < and ≤ 5 | 0.875 | 0.537 | 1.425 | 0.592 | 2.38 (8.91) | 0.147 |
| 5 < and ≤ 9.5 | 1.279 | 0.781 | 2.094 | 0.329 | 2.74 (11.22) | |
| 9.5 < and ≤ 14 | - | - | - | 7.11 (19.45) | ||
| Residence | ||||||
| Shanghai | 0.380 | 0.233 | 0.618 | <0.001 | 3.00 (11.90) | 0.005 |
| Non-Shanghai | - | - | - | - | 8.80 (21.54) | |
| Payment method | ||||||
| Self-pay | 1.202 | 0.736 | 1.964 | 0.463 | 8.12 (21.35) | 0.004 |
| Insured | - | - | - | 1.99 (5.90) | ||
| Day of admission | ||||||
| Holiday | 0.711 | 0.420 | 1.202 | 0.202 | - | |
| Working day | - | - | - | - | ||
| Admission time | ||||||
| 08:00–11:59 | 0.875 | 0.537 | 1.425 | 0.592 | - | |
| 12:00–17:59 | 1.279 | 0.781 | 2.094 | 0.329 | - | |
| 18:00–07:59 | - | - | - | - | - | |
| Admission route | ||||||
| Outpatient | 0.423 | 0.187 | 0.959 | 0.039 | 5.71 (18.09) | 0.708 |
| Emergency | - | - | - | 7.06 (9.79) | ||
| Readmission | ||||||
| Yes | 0.573 | 0.350 | 0.939 | 0.027 | 8.69 (20.44) | 0.022 |
| No | - | - | - | 3.90 (14.97) | ||
| Service type | ||||||
| Surgical | 4.002 | 2.411 | 6.642 | <0.001 | 2.81 (10.49) | 0.003 |
| Medical | - | - | - | 8.87 (22.08) | ||
| Comorbidity | ||||||
| Yes | 0.763 | 0.453 | 1.287 | 0.311 | 2.69 (8.86) | 0.043 |
| No | - | - | - | 7.19 (19.99) | ||
| Length of stay | - | - | - | - | 0.344 | <0.001 |
| Admission type | ||||||
| Appropriate | - | - | - | - | 1.54 (6.17) | <0.001 |
| Inappropriate | - | - | - | 12.69 (25.73) | ||
* Spearman’s rho correlation coefficient.
Multivariate logistic regression analysis of inappropriate admissions.
| OR | SE | 95% CI |
| |||
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Residence–Shanghai | -1.118 | 0.327 | 0.272 | 0.192 | 0.557 | <0.001 |
| Admission route–outpatient | -1.003 | 0.367 | 0.463 | 0.148 | 0.908 | 0.030 |
| Service type–surgical | 1.396 | 4.039 | 0.270 | 2.382 | 6.850 | <0.001 |
Multivariate regression analysis of the percentage of inappropriate hospital days.
| 95% CI | SE | Standardized |
| |||
|---|---|---|---|---|---|---|
| Lower | Upper | |||||
| Payment method–self-pay | 5.349 | 1.535 | 9.163 | 1.938 | 0.148 | 0.006 |
| Service type–surgical | -8.629 | -12.587 | -4.671 | 2.011 | -0.247 | <0.001 |
| Comorbidity–yes | -4.901 | -8.884 | -0.919 | 2.023 | -0.129 | 0.016 |
| Length of stay | 0.403 | 0.112 | 0.693 | 0.147 | 0.151 | 0.007 |
| Admission type–inappropriate | 13.557 | 9.623 | 17.490 | 1.998 | 0.378 | <0.001 |
Reasons for inappropriate admissions and hospital days.
| Reasons for inappropriateness | N | % |
|---|---|---|
| Inappropriate admissions | ||
| Premature admission | 85 | 75.9 |
| Patient needs care at a lower level than a secondary hospital | 11 | 9.8 |
| Patient needs care that can be administered on an outpatient basis | 10 | 8.9 |
| Inconvenience of transportation | 6 | 5.4 |
| Inappropriate hospital days | ||
| Awaiting test results | 47 | 34.3 |
| Awaiting surgery | 27 | 19.7 |
| Awaiting test execution | 15 | 10.9 |
| Family unprepared for home care | 15 | 10.9 |
| Awaiting test scheduling | 14 | 10.2 |
| Awaiting discharge | 12 | 8.8 |
| Awaiting consultation | 7 | 5.1 |