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1.
Psychiatr Serv ; 71(12): 1292-1295, 2020 12 01.
Article in English | MEDLINE | ID: mdl-33050793

ABSTRACT

OBJECTIVE: The authors sought to compare diagnostic and demographic factors among patients who were involuntarily admitted to psychiatry care with or without police involvement. METHODS: All admissions to psychiatry units in two university hospitals in Ireland were studied over a 3.5-year period. RESULTS: Of 2,715 admissions, 443 (16%) were involuntary; complete data were available for 390 of these involuntary admissions, of which 78 (20%) involved police. Patients with police involvement did not differ significantly from those without police involvement in gender, marital and employment status, or diagnosis. The former patients had a longer mean admission duration and were more likely to be admitted under the "risk criterion" of the Mental Health Act 2001. Multivariable testing indicated that these variables do not independently predict police involvement. CONCLUSIONS: The diagnostic or demographic factors examined did not contribute to police involvement in involuntary admission. Features such as homelessness, social exclusion, or criminogenic factors might underlie police involvement.


Subject(s)
Mental Disorders , Psychiatry , Commitment of Mentally Ill , Hospitalization , Humans , Ireland/epidemiology , Mental Disorders/epidemiology , Police
2.
Int J Law Psychiatry ; 66: 101472, 2019.
Article in English | MEDLINE | ID: mdl-31706388

ABSTRACT

Involuntary admission and treatment are common, long-standing features of psychiatry but the relationships between gender, diagnosis and other features of involuntary treatment are not clear. We studied all voluntary and involuntary psychiatry admissions at Tallaght University Hospital, Dublin over 2 years (n = 1230). Admission rates in Tallaght were lower than national rates for all admissions (224.9 admissions per 100,000 population per year in Tallaght versus 376.8 nationally), voluntary admissions (194.0 versus 328.4) and involuntary admissions (30.9 versus 48.4). Compared to men, proportionately fewer admissions of admissions of women were involuntary (11% versus 16%) and women were more commonly diagnosed with affective (mood) disorders (29.5% of women versus 22.6% of men), neuroses (anxiety disorders) (14.0% versus 8.8%) and personality and behavioural disorders (18.0% versus 9.2%), and less commonly diagnosed with schizophrenia group disorders (21.8% versus 32.0%), alcohol disorders (2.9% versus 4.3%) and drug disorders (3.6% versus 8.1%). Schizophrenia group disorders accounted for a greater proportion of male (63.2%) than female (55.6%) involuntary admissions, and affective disorders accounted for a greater proportion of female (17.5%) than male (12.3%) involuntary admissions. Duration of admission was independently associated with, in order of strength of association, involuntary status, schizophrenia group disorders and increasing age, but duration of involuntary care was not associated with any of these factors. The chief gender-related features of involuntary psychiatry admission are that (a) proportionately fewer admissions of admissions of women are involuntary compared to men, and (b) diagnoses of affective disorders are more common in women, and schizophrenia group diagnoses more common in men. Future research could usefully explore gender differences in grounds for involuntary detention and police involvement in the involuntary admission process. Future research is also warranted into whether gender associations differ in older compared to younger involuntary patients.


Subject(s)
Commitment of Mentally Ill/statistics & numerical data , Mental Disorders/epidemiology , Mental Disorders/therapy , Patient Admission/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Female , Hospitals, University , Humans , Ireland/epidemiology , Male , Middle Aged , Psychiatry , Sex Distribution , Young Adult
3.
J Psychiatr Pract ; 24(3): 209-216, 2018 May.
Article in English | MEDLINE | ID: mdl-30015792

ABSTRACT

BACKGROUND: While involuntary psychiatric admission and treatment are common, little is known about what impact different diagnoses have on specific features of involuntary admission and on how involuntary status is terminated (eg, by psychiatrists or tribunals, which are independent, court-like bodies reviewing involuntary admissions). METHODS: We studied 2940 admissions, 423 (14.4%) of which were involuntary, at 3 psychiatry units covering a population of 552,019 individuals in Dublin, Ireland. RESULTS: Involuntary patients were more likely than voluntary patients to be male and unmarried. The median length of stay for involuntary patients was 27 days compared with 10 days for voluntary patients (P<0.001). Schizophrenia (and related disorders, including schizoaffective disorder) and bipolar disorder accounted for 58.6% and 17.3% of involuntary admissions, respectively, compared with 20.1% and 12.4% of voluntary admissions (P<0.001). Psychiatrists revoked the majority of involuntary orders for both patients with bipolar disorder (85.3%) and those with schizophrenia (and related disorders) (86.6%); in contrast, tribunals did not revoke any involuntary admission orders for patients with bipolar disorder and revoked orders for 3.8% of patients with schizophrenia (and related disorders) (P=0.034). On the basis of multivariable testing, increased age among patients with bipolar disorder was the only characteristic among those studied (sex, age, marital status, occupation, involuntary admission criteria, length of stay, method of involuntary order revocation, location) that independently distinguished involuntary patients with bipolar disorder from those with schizophrenia (and related disorders) (P=0.028). CONCLUSIONS: Involuntary admission of patients with bipolar disorder is similar in most respects to that of patients with schizophrenia (and related disorders). Consequently, it is important that measures aimed at reducing the need for involuntary admission (eg, patient advance statements/advance directives) are implemented equally across all diagnostic groups associated with involuntary care.


Subject(s)
Bipolar Disorder/therapy , Commitment of Mentally Ill/legislation & jurisprudence , Commitment of Mentally Ill/statistics & numerical data , Hospitalization/statistics & numerical data , Hospitals, Psychiatric/statistics & numerical data , Psychotic Disorders/therapy , Schizophrenia/therapy , Adult , Advance Directives , Bipolar Disorder/epidemiology , Female , Humans , Ireland/epidemiology , Male , Middle Aged , Psychotic Disorders/epidemiology , Schizophrenia/epidemiology
4.
Int J Law Psychiatry ; 57: 17-23, 2018.
Article in English | MEDLINE | ID: mdl-29548500

ABSTRACT

Involuntary psychiatric admission is an established practice for patients who are acutely or severely mentally ill but the factors contributing to involuntary (as opposed to voluntary) admission are not fully clear. Nor is it clear why rates of involuntary admission often vary between hospitals within the same jurisdiction. We studied all admissions, voluntary and involuntary, in three inpatient psychiatry units in Dublin, Ireland, which cover a population of 552,019 people, over a one-year period (1 July 2014 until 30 June 2015, inclusive), as part of the Dublin Involuntary Admission Study (DIAS). During the study period, there was a total of 1136 admissions to these three units, of which 17% were involuntary for all or part of their admission. The overall admission rate (205.8 admissions per 100,000 population per year) was lower than the national rate (387.9) but this varied substantially across the three units studied. On multi-variable analysis, involuntary admission status was associated with male gender, being unmarried, and a diagnosis of schizophrenia, and was not significantly associated with age, occupation or which inpatient unit the person was admitted to. We conclude that variations in involuntary admission rates between different psychiatry admission units in Dublin are significantly explained by patient-level variables (such as gender, marital status and diagnosis) rather than centre-level variables, but that much of the variation in admission status between patients remains unexplained. Future, multi-level research could usefully focus on other patient-level factors of possible relevance (e.g. symptom severity), centre-level factors (e.g. local mental health service resourcing) and community-level factors (e.g. socio-economic circumstances in different areas) in order to further elucidate unexplained variance in admission status between patients.


Subject(s)
Commitment of Mentally Ill/statistics & numerical data , Mental Disorders/therapy , Mentally Ill Persons/statistics & numerical data , Patient Admission/statistics & numerical data , Adult , Female , Humans , Ireland , Male , Psychiatric Department, Hospital , Sex Distribution
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