Introduction
Disease burden of mental illnesses
The importance of understanding inpatient psychiatric care
The need of analyzing psychiatric hospitalization pattern
Potential benefits of sequence analysis in service utilization studies
About this study
Methods
Data source
Study design and ethic approval
Patient eligibility criteria
Patient characteristics and measures of service utilization
Patient characteristics
Measures for service utilization
Statistical analysis
Results
Patient characteristics
All | Short stay | Repeated long stay | Long-term stay | Permanent stay | Statistics | |
---|---|---|---|---|---|---|
Patient characteristics | ||||||
Number of patients (n(%)) | 3443 (100) | 2741 (79.61) | 404 (11.73) | 101 (2.93) | 197 (5.72) | / |
Gender: Male (n(%)) | 1449 (42.09) | 1056 (38.53) | 198 (49.01) | 59 (58.42) | 136 (69.04) | χ2(3) = 91.95, p < 0.001 |
Age (mean, SD) | 42.95 (15.54) | 41.45 (15.31) | 44.33 (16.04) | 53.11 (11.96) | 55.7 (10.48) | H(3) = 216.29, p < 0.001 |
Payment methods (n(%)) | χ2(6) = 177.57, p < 0.001 | |||||
Urban employee insurance | 1696 (49.26) | 1214 (44.29) | 236 (58.42) | 79 (78.22) | 167 (84.77) | |
Other insurance | 1032 (29.97) | 890 (32.47) | 101 (25) | 15 (14.85) | 26 (13.2) | |
Un-insured | 715 (20.77) | 637 (23.24) | 67 (16.58) | 7 (6.93) | 4 (2.03) | |
Diagnosis groups (n(%)) | χ2(6) = 401.61, p < 0.001 | |||||
Schizophrenia | 1705 (49.52) | 1134 (41.37) | 289 (71.53) | 92 (91.09) | 190 (96.45) | |
Bipolar disorder | 890 (25.85) | 803 (29.3) | 76 (18.81) | 6 (5.94) | 5 (2.54) | |
Depression | 848 (24.63) | 804 (29.33) | 39 (9.65) | 3 (2.97) | 2 (1.02) | |
Charlson Comorbidity Index (at index admission) (n(%)) | χ2(6) = 113.63, p < 0.001 | |||||
0 | 2866 (83.24) | 2364 (86.25) | 312 (77.23) | 64 (63.37) | 126 (63.96) | |
1 | 467 (13.56) | 313 (11.42) | 70 (17.33) | 29 (28.71) | 55 (27.92) | |
> 1 | 110 (3.19) | 64 (2.33) | 22 (5.45) | 8 (7.92) | 16 (8.12) | |
Hospitals (n(%)) | χ2(6) = 823.45, p < 0.001 | |||||
Hospital 1 | 1471 (42.72) | 1307 (47.68) | 150 (37.13) | 11 (10.89) | 3 (1.52) | |
Hospital 2 | 1041 (30.24) | 551 (20.1) | 209 (51.73) | 87 (86.14) | 194 (98.48) | |
Hospital 3 | 931 (27.04) | 883 (32.21) | 45 (11.14) | 3 (2.97) | 0 (0) | |
Psychiatric service utilization | ||||||
Single admission (n(%)) | 2169 (63.00) | 2073 (75.63) | 96 (23.76) | 1 (0.99) | 0 (0.00) | χ2(3) = 961.77, p < 0.001 |
Admission frequency (mean (SD)) | 1.93 (1.82) | 1.32 (0.65) | 2.48 (1.43) | 4.66 (1.54) | 7.79 (1.67)a | H(3) = 1078.37, p < 0.001 |
Length of stay (LOS, in days, mean (SD)) | ||||||
LOS in the 1st year | 76.21 (92.27) | 40.48 (22.25) | 140.21 (83.21) | 236.1 (118.71) | 360.18 (25.18) | H(3) = 1388.71, p < 0.001 |
LOS in the 2nd year | 32.09 (90.78) | 3.02 (10.78) | 28.47 (45.55) | 195.29 (92.61) | 360.29 (24.79) | H(3) = 871.52, p < 0.001 |
LOS in the 3rd year | 29.12 (88.51) | 2.8 (11.16) | 21.71 (40.56) | 161.77 (150.62) | 342.48 (57.64) | H(3) = 707.04, p < 0.001 |
Total LOS in 3 years | 137.42 (253.39) | 46.3 (27.95) | 190.38 (85.28) | 593.16 (107.89) | 1062.95 (76.6) | H(3) = 1662.68, p < 0.001 |
Cumulative psychiatric hospital days (n(%)) | 473,137 (100) | 126,911 (26.82) | 76,915 (16.26) | 59,909 (12.66) | 209,402 (44.26) | / |
Psychiatric hospitalization expense (in 2017 RMB, mean (SD)) | ||||||
Daily expenseb | 541.69 (181.84) | 556.7 (196.66) | 462.09 (90.35) | 492.18 (76.31) | 521.46 (49.14) | H(3) = 169.36, p < 0.001 |
Total expense | 70,194.39 (131,864.89) | 24,586.9 (15,689.07) | 87,743.86 (43,141.05) | 293,584.63 (74,912.52) | 554,243.83 (65,508.78) | H(3) = 1593.54, p < 0.001 |
Cumulative psychiatric hospital expense (in million RMB) (n(%)) | 241.68 (100) | 67.39 (27.89) | 35.45 (14.66) | 29.65 (12.27) | 109.19 (45.18) | / |
Psychiatric readmission | ||||||
Same-day readmission (n(%)) | 346 (10.05) | 66 (2.41) | 53 (13.12) | 40 (39.60) | 187 (94.92) | χ2(3) = 1800, p < 0.001 |
30-day readmission (n(%)) | 480 (13.94) | 139 (5.07) | 107 (26.49) | 42 (41.58) | 192 (97.46) | χ2(3) = 1400, p < 0.001 |
365-day readmission (n(%)) | 862 (25.04) | 381 (13.90) | 217 (53.71) | 67 (66.34) | 197 (100.00) | χ2(3) = 978.08, p < 0.001 |
Non-psychiatric service utilization | ||||||
Patients with non-psychiatric admission (n(%)) | 579 (16.82) | 503 (18.35) | 54 (13.37) | 11 (10.89) | 11 (5.58) | χ2(3) = 28.36, p < 0.001 |
Total LOS (in 3 years) (mean (SD))c | 21.15 (37.82) | 21.41 (39.71) | 17.59 (15.35) | 25.45 (40.67) | 22.36 (22.91) | H(3) = 1.20, p = 0.75 |
Daily expense (mean (SD))bc | 1768.29 (2584.86) | 1793.95 (2666.45) | 1557.12 (2232.81) | 1647.81 (1169.43) | 1751.99 (1091.22) | H(3) = 4.37, p = 0.22 |
Total expense (in 3 years) (mean (SD))c | 29,614.47 (45,746.36) | 30,086.12 (47,101.62) | 23,005.42 (33,434.24) | 29,057.69 (35,209.69) | 41,048.84 (45,081.99) | H(3) = 1.55, p = 0.67 |
Proportion of non-psychiatric expense/the total expense (mean (SD)) dc | 40.66%(26.58%) | 44.35%(26.05%) | 19.34%(14.90%) | 10.47%(11.39%) | 6.53%(6.57%) | H(3) = 89.96, p < 0.001 |
Characteristics of the identified clusters
Psychiatric service utilization, expense and readmissions across the clusters
Patient characteristics in different diagnostic categories
Schizophrenia | Bipolar disorder | Depression | Statistics | |
---|---|---|---|---|
Patient characteristics | ||||
Number of patients (n(%)) | 1705 (49.52) | 890 (25.85) | 848 (24.63) | / |
Gender: Male (n(%)) | 805 (47.21) | 355 (39.89) | 289 (34.08) | χ2(2) = 42.46, p < 0.001 |
Age (mean, SD) | 41.09 (14.86) | 40.76 (14.97) | 48.99 (15.91) | H(2) = 157.72, p < 0.001 |
Payment methods (n(%)) | χ2(4) = 44.66, p < 0.001 | |||
Urban employee insurance | 849 (49.79) | 424 (47.64) | 423 (49.88) | |
Other insurance | 526 (30.85) | 219 (24.61) | 287 (33.84) | |
Un-insured | 330 (19.35) | 247 (27.75) | 138 (16.27) | |
Charlson Comorbidity Index (at index admission) (n(%)) | χ2(4) = 8.75, p = 0.07 | |||
0 | 1396 (81.88) | 752 (84.49) | 718 (84.67) | |
1 | 257 (15.07) | 113 (12.7) | 97 (11.44) | |
> 1 | 52 (3.05) | 25 (2.81) | 33 (3.89) | |
Psychiatric service utilization | ||||
Single admission (n(%)) | 964 (56.54) | 559 (62.81) | 646 (76.18) | χ2(2) = 93.73, p < 0.001 |
Admission frequency (mean (SD)) | 2.36 (2.29) | 1.62 (1.14) | 1.38 (0.91) | H(2) = 98.26, p < 0.001 |
Total length of stay in 3 years (in days, mean (SD)) | 217.55 (330.85) | 67.26 (98.48) | 49.94 (69.09) | H(2) = 377.68, p < 0.001 |
Cumulative psychiatric hospital days (n(%)) | 370,928 (78.40) | 59,857 (12.65) | 42,347 (8.95) | / |
Total expense (mean (SD)) | 110,305.81 (172,878.59) | 34,296.48 (51,565.11) | 27,221.73 (36,092.11) | H(2) = 307.21, p < 0.001 |
Daily expense (mean (SD)) a | 520.53 (155.72) | 543.24 (176.39) | 582.59 (224.41) | H(2) = 78.86, p < 0.001 |
Cumulative psychiatric hospital expense (in million RMB) | 188.07 (77.82) | 30.52 (12.63) | 23.08 (9.55) | / |
Psychiatric readmission | ||||
Same-day readmission (n(%)) | 301 (17.65) | 24 (2.7) | 21 (2.48) | χ2(2) = 216.11, p < 0.001 |
30-day readmission (n(%)) | 362 (21.23) | 53 (5.96) | 65 (7.67) | χ2(2) = 150.68, p < 0.001 |
365-day readmission (n(%)) | 550 (32.26) | 164 (18.43) | 148 (17.45) | χ2(2) = 94.08, p < 0.001 |
Non-psychiatric service utilization | ||||
Patients with non-psychiatric admission (n(%)) | 227 (13.31) | 156 (17.53) | 196 (23.11) | χ2(2) = 39.31, p < 0.001 |
Total length of stay in 3 years (in days, mean (SD)) | 18.47 (28.64) | 23.76 (48.9) | 22.17 (37.08) | H(2) = 4.39, p = 0.11 |
Daily expense (mean (SD)) ab | 1569.43 (1605.57) | 1720.87 (1970.09) | 2036.34 (3689.43) | H(2) = 0.67, p = 0.72 |
Total expense (in 3 years) (mean (SD))b | 24,921.58 (36,182.94) | 31,942.02 (55,886.31) | 33,197.07 (46,478.5) | H(2) = 5.61, p = 0.06 |
Proportion of non-psychiatric expense/the total expense (mean (SD)) cb | 34.47%(25.22%) | 42.13%(25.40%) | 46.65%(27.61%) | H(2) = 23.05, p < 0.001 |
Psychiatric care utilization, expenses and readmissions across diagnostic categories
Schizophrenia | Bipolar disorder | Depression | |
---|---|---|---|
Days between 1st & 2nd admissiona (Median, interquartile range (IQR)) | 40, 0–372 (n = 741) | 368, 105–640 (n = 331) | 131, 14–381 (n = 202) |
Days between 2nd & 3rd admission (Median, IQR) | 0, 0–117 (n = 437) | 225, 41–427 (n = 113) | 79, 11–262 (n = 66) |
Days between 3rd & 4th admission (Median, IQR) | 0, 0–0 (n = 305) | 53, 4–166 (n = 45) | 144, 15–255 (n = 24) |