| Literature DB >> 31447710 |
Benjamin D Arnold1, Julian Moeller1,2, Lisa Hochstrasser1, Andres R Schneeberger3,4,5, Stefan Borgwardt1, Undine E Lang1, Christian G Huber1.
Abstract
Background: When persons with a mental illness present a danger to themselves or others, involuntary hospital admission can be used to initiate an immediate inpatient treatment. Often, the patients have the right to appeal against compulsory admission. These processes are implemented in most mental health-care systems, but regulations and legal framework differ widely. In the Swiss canton of Basel-Stadt, a new regulation was implemented in January 2013. While the current literature holds some evidence for factors associated with involuntary admission, knowledge on who uses the right to appeal against admission is sparse. Aims: The study aims to examine if specific sociodemographic and clinical characteristics are associated with involuntary admission and with an appeal against the compulsory admission order. Method: Routine clinical data of all inpatient cases admitted during the period from January 2013 to December 2015 at the Psychiatric University Hospital Basel were extracted. Generalized estimating equation (GEE) analyses were used to examine the association of sociodemographic and clinical characteristics with "involuntary admission" and "appeal against compulsory admission order."Entities:
Keywords: Switzerland; coercion; human rights; involuntary treatment; psychiatry
Year: 2019 PMID: 31447710 PMCID: PMC6695555 DOI: 10.3389/fpsyt.2019.00544
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Demographic and clinical descriptive information in voluntarily and involuntarily admitted patients and in patients using or renouncing their right to appeal the compulsory admission order.
| Characteristic | Type of admission | Appeal against compulsory admission order | ||||
|---|---|---|---|---|---|---|
| Voluntary | Involuntary | Total | Yes | No | Total | |
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| Age (years) | 45.61 | 48.36 | 45.9 | 47.77 | 48.57 | 48.36 |
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| Male | 3,829 (48.0%) | 454 (48.2%) | 4,283 (48.0%) | 94 (37.6%) | 360 (52.0%) | 454 (48.2%) |
| Female | 4,146 (52.0%) | 488 (51.8%) | 4,634 (52.0%) | 156 (62.4%) | 332 (48.0%) | 488 (51.8%) |
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| Other | 2,443 (30.6%) | 306 (32.5%) | 2,749 (30.8%) | 62 (24.8%) | 244 (35.3%) | 306 (32.5%) |
| Switzerland | 5,532 (69.4%) | 636 (67.5%) | 6,168 (69.2%) | 188 (75.2%) | 448 (64.7%) | 636 (67.5%) |
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| Married | 1,607 (20.2%) | 102 (10.8%) | 1,709 (19.2%) | 19 (7.6%) | 83 (12.0%) | 102 (10.8%) |
| Separated/divorced | 1,644 (20.6%) | 153 (16.2%) | 1,797 (20.2%) | 45 (18.0%) | 108 (15.6%) | 153 (16.2%) |
| Widowed | 341 (4.3%) | 46 (4.9%) | 387 (4.3%) | 9 (3.6%) | 37 (5.3%) | 46 (4.9%) |
| Unmarried | 3,960 (49.7%) | 422 (44.8%) | 4,382 (49.1%) | 115 (46.0%) | 307 (44.4%) | 422 (44.8%) |
| Unknown | 423 (5.3%) | 219 (23.2%) | 642 (7.2%) | 62 (24.8%) | 157 (22.7%) | 219 (23.2%) |
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| Private residence | 2,965 (37.2%) | 306 (32.5%) | 3,271 (36.7%) | 102 (40.8%) | 204 (29.5%) | 306 (32.5%) |
| Living together with others | 3,367 (42.2%) | 214 (22.7%) | 3,581 (40.2%) | 59 (23.6%) | 155 (22.4%) | 214 (22.7%) |
| Assisted living | 531 (6.7%) | 80 (8.5%) | 611 (6.9%) | 10 (4.0%) | 70 (10.1%) | 80 (8.5%) |
| Hospitalized or in penal institution | 323 (4.1%) | 64 (6.8%) | 387 (4.3%) | 13 (5.2%) | 51 (7.4%) | 64 (6.8%) |
| Homeless | 222 (2.8%) | 45 (4.8%) | 267 (3.0%) | 13 (5.2%) | 32 (4.6%) | 45 (4.8%) |
| Other | 73 (0.9%) | 20 (2.1%) | 93 (1.0%) | 6 (2.4%) | 14 (2.0%) | 20 (2.1%) |
| Unknown | 494 (6.2%) | 213 (22.6%) | 707 (7.9%) | 47 (18.8%) | 166 (24.0%) | 213 (22.6%) |
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| Employed | 1,591 (19.9%) | 73 (7.7%) | 1,664 (18.7%) | 18 (7.2%) | 55 (7.9%) | 73 (7.7%) |
| In education or civilian or military service | 268 (3.4%) | 11 (1.2%) | 279 (3.1%) | 6 (2.4%) | 5 (0.7%) | 11 (1.2%) |
| Other types of regular work | 366 (4.6%) | 32 (3.4%) | 398 (4.5%) | 10 (4.0%) | 22 (3.2%) | 32 (3.4%) |
| Retirement/disability pension | 2,886 (36.2%) | 378 (40.1%) | 3,264 (36.6%) | 97 (38.8%) | 281 (40.6%) | 378 (40.1%) |
| Unemployed | 2,061 (25.8%) | 170 (18.0%) | 2,231 (25.0%) | 45 (18.0%) | 125 (18.1%) | 170 (18.0%) |
| Unknown | 803 (10.1%) | 278 (29.5%) | 1,081 (12.1%) | 74 (29.6%) | 204 (29.5%) | 278 (29.5%) |
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| Nighttime or weekend | 2,619 (32.8%) | 621 (65.9%) | 3,240 (36.3%) | 160 (64.0%) | 461 (66.6%) | 621 (65.9%) |
| Regular working hours | 5,356 (67.2%) | 321 (34.1%) | 5,677 (63.7%) | 90 (36.0%) | 231 (33.4%) | 321 (34.1%) |
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| F0 Organic, including symptomatic, mental disorders | 343 (4.3%) | 118 (12.5%) | 461 (5.2%) | 22 (8.8%) | 96 (13.9%) | 118 (12.5%) |
| F1 Mental and behavioral disorders due to psychoactive substance use | 1,878 (23.5%) | 177 (18.8%) | 2,055 (23.0%) | 36 (14.4%) | 141 (20.4%) | 177 (18.8%) |
| F2 Schizophrenia, schizotypal and delusional disorders | 1,333 (16.7%) | 361 (38.3%) | 1,694 (19.0%) | 127 (50.8%) | 234 (33.8%) | 361 (38.3%) |
| F3 Mood (affective) disorders | 2,533 (31.8%) | 151 (16.0%) | 2,684 (30.1%) | 41 (16.4%) | 110 (15.9%) | 151 (16.0%) |
| F4 Neurotic, stress-related and somatoform disorders | 1,065 (13.4%) | 55 (5.8%) | 1,120 (12.6%) | 7 (2.8%) | 48 (6.9%) | 55 (5.8%) |
| F6 Disorders of adult personality and behavior | 609 (7.6%) | 48 (5.1%) | 657 (7.4%) | 8 (3.2%) | 40 (5.8%) | 48 (5.1%) |
| Other psychiatric diagnosis | 117 (1.5%) | 13 (1.4%) | 130 (1.5%) | 3 (1.2%) | 10 (1.4%) | 13 (1.4%) |
| No psychiatric diagnosis | 97 (1.2%) | 19 (2.0%) | 116 (1.3%) | 6 (2.4%) | 13 (1.9%) | 19 (2.0%) |
Values are given as number (percentage) for nominal variables and in mean ± standard deviation for continuous variables.
Generalized estimating equation (GEE) analysis with type of admission (admitted voluntarily or involuntarily) as dependent variable.
| Characteristic |
| SE | df |
| 95% CI |
|---|---|---|---|---|---|
| Age | 0.012 | 0.0031 | 1 | .000 | 0.005 to 0.018 |
| Gender | 0.021 | 0.0921 | 1 | .817 | −0.159 to 0.202 |
| Nationality | −0.228 | 0.0968 | 1 | .018 | −0.418 to −0.038 |
| Marital status | 0.113 | 0.0434 | 1 | .011 | 0.027 to 0.200 |
| Housing situation | 0.084 | 0.0439 | 1 | .060 | −0.004 to 0.172 |
| Occupational situation | 0.056 | 0.0364 | 1 | .132 | −0.017 to 0.129 |
| Time of hospital admission | −1.166 | 0.0799 | 1 | .000 | −1.322 to −1.009 |
| F0 principal diagnosis | 1.180 | 0.1885 | 1 | .000 | 0.810 to 1.549 |
| F1 principal diagnosis | 0.115 | 0.1454 | 1 | .431 | −0.170 to 0.400 |
| F2 principal diagnosis | 0.924 | 0.1328 | 1 | .000 | 0.664 to 1.185 |
| F3 principal diagnosis | −0.199 | 0.1344 | 1 | .138 | −0.463 to 0.064 |
| Constant | −3.073 | 0.2949 | 1 | .000 | −3.652 to −2.494 |
CI, confidence interval; df, degrees of freedom; SE, standard error.
GEE analysis with appeal against compulsory admission order (yes vs. no) as dependent variable.
| Characteristic |
| SE | df |
| 95% CI |
|---|---|---|---|---|---|
| Age | 0.000 | 0.0055 | 1 | .967 | −0.011 to 0.011 |
| Gender | 0.587 | 0.1726 | 1 | .001 | 0.249 to 0.925 |
| Nationality | 0.474 | 0.1949 | 1 | .015 | 0.092 to 0.856 |
| Marital status | 0.032 | 0.0852 | 1 | .711 | −0.136 to 0.199 |
| Housing situation | −0.066 | 0.0670 | 1 | .327 | −0.197 to 0.066 |
| Occupational situation | −0.026 | 0.0740 | 1 | .723 | −0.173 to 0.120 |
| Time of hospital admission | 0.044 | 0.1720 | 1 | .797 | −0.293 to 0.381 |
| F0 principal diagnosis | −0.174 | 0.3742 | 1 | .642 | −0.907 to 0.560 |
| F1 principal diagnosis | 0.043 | 0.3192 | 1 | .892 | −0.582 to 0.669 |
| F2 principal diagnosis | 0.884 | 0.2666 | 1 | .001 | 0.362 to 1.407 |
| F3 principal diagnosis | 0.496 | 0.3117 | 1 | .111 | −0.114 to 1.107 |
| Constant | −2.582 | 0.6416 | 1 | .000 | −3.842 to −1.323 |
CI, confidence interval; df, degrees of freedom; SE, standard error.