| Literature DB >> 20584301 |
Lars Kjellin1, Tuula Wallsten.
Abstract
BACKGROUND: The knowledge of the impact of coercion on psychiatric treatment outcome is limited. Multiple measures of coercion have been recommended. The aim of the study was to examine the impact of accumulated coercive incidents on short-term outcome of inpatient psychiatric careEntities:
Mesh:
Year: 2010 PMID: 20584301 PMCID: PMC2912798 DOI: 10.1186/1471-244X-10-53
Source DB: PubMed Journal: BMC Psychiatry ISSN: 1471-244X Impact factor: 3.630
Characteristics of included patients
| Involuntarily admitted or detained patients | Voluntarily admitted patients | Total | |
|---|---|---|---|
| Men | 43.6% | 27.6% | 35.6% |
| Women | 56.4% | 72.4% | 64.4% |
| Mean(sd) | 41.3(12.9) | 42.0(12.0) | 41.6(12.5) |
| Psychoses | 50.0% | 19.0% | 34.5% |
| Mood disorders | 31.9% | 44.8% | 38.4% |
| Other diagnoses | 18.1% | 36.2% | 27.2% |
| Mean(sd) | 34.3(10.7) | 41.4(11.8) | 37.9(11.8) |
| Mean(sd) | 29.1(13.7) | 24.6(9.6) | 26.7(12.0) |
Accumulated coercion and subjective and assessed short-term outcome
| Coercive incidents | Subjective outcome | Assessed outcome (GAF change) | ||
|---|---|---|---|---|
| Improved | Not Improved | Improved | Not Improved | |
| n = 151 | n = 67 | n = 121 | n = 88 | |
| Mean | 2.1 | 2.2 | 2.3 | 1.9 |
| SD | 2.1 | 2.3 | 2.3 | 2.0 |
| Median | 2.0 | 1.0 | 2.0 | 1.0 |
| Min | 0 | 0 | 0 | 0 |
| Max | 7 | 7 | 7 | 6 |
Logistic regression with subjective short-term outcome as dependent variable
| Independent variables | OR | 95% C.I. | p |
|---|---|---|---|
| Gender | |||
| Female | 1.00 | ||
| Male | 1.08 | 0.56-2.08 | 0.817 |
| Age | 1.01 | 0.98-1.03 | 0.722 |
| Diagnosis | |||
| Psychoses | 1.00 | ||
| Mood disorders | 0.61 | 0.28-1.33 | 0.213 |
| Other diagnoses | 0.33 | 0.14-0.96 | |
| Baseline GAF | 0.99 | 0.97-1.02 | 0.644 |
| Baseline BPRS score | 0.99 | 0.96-1.02 | 0.407 |
| Coercive incidents | |||
| 0 | 1.00 | ||
| 1-3 | 1.43 | 0.66-3.08 | 0.363 |
| 4-7 | 0.68 | 0.32-1.48 | 0.332 |
Logistic regression with short-term change in GAF scores as dependent variable
| Independent variables | OR | 95% C.I. | p |
|---|---|---|---|
| Gender | |||
| Female | 1.00 | ||
| Male | 1.26 | 0.64-2.46 | 0.507 |
| Age | 0.98 | 0.96-1.01 | 0.189 |
| Diagnosis | |||
| Psychoses | 1.00 | ||
| Mood disorders | 2.18 | 0.99-4.80 | 0.052 |
| Other diagnoses | 0.81 | 0.34-1.91 | 0.626 |
| Baseline GAF | 0.92 | 0.89-0.96 | |
| Baseline BPRS score | 1.02 | 0.996-1.05 | 0.099 |
| Coercive incidents | |||
| 0 | 1.00 | ||
| 1-3 | 0.53 | 0.24-1.15 | 0.107 |
| 4-7 | 0.65 | 0.29-1.49 | 0.309 |