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The Wessex Recent In-Patient Suicide Study, 2

Case–control study of 59 in-patient suicides

Published online by Cambridge University Press:  02 January 2018

Elizabeth A. King*
Affiliation:
Mental Health Group, Department of Psychiatry, The University of Southampton, Southampton
David S. Baldwin
Affiliation:
Mental Health Group, Department of Psychiatry, The University of Southampton, Southampton
Julia M. A. Sinclair
Affiliation:
Mental Health Group, Department of Psychiatry, The University of Southampton, Southampton
Michael J. Campbell
Affiliation:
Institute of General Practice and Primary Care, School of Health and Related Research, The University of Sheffield, Sheffield, UK
*
Dr Elizabeth A. King, Mental Health Group, University Department of Psychiatry, RSH Hospital, Brinton's Terrace, Southampton SO14 0YG, UK. E-mail: [email protected]
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Abstract

Background

Psychiatric patients have an elevated risk of suicide while in hospital.

Aims

To compare social, clinical and health-care delivery factors in in-patient and out-patient suicides and their controls.

Method

Retrospective case-control study of 59 in-patients and 106 controls, matched for age, gender, diagnosis and admission date. Odds ratios were calculated using conditional multiple logistic regression.

Results

There were seven independent increased-risk factors: history of deliberate self-harm, admission under the Mental Health Act, involvement of the police in admission, depressive symptoms, violence towards property, going absent without leave and a significant care professional being on leave. When compared with out-patient suicides, in-patients were more often female and male in-patients had a psychotic illness. Unlike the out-patient suicides, social factors were not found to be significant.

Conclusions

The characteristics of inpatient and out-patient suicides differ. Identified risk factors have relatively low sensitivity and specificity.

Type
Papers
Copyright
Copyright © 2001 The Royal College of Psychiatrists 

Approximately 25-40% of suicide victims are in contact with psychiatric services in the year before death (Reference Pirkis and BurgessPirkis & Burgess, 1998; Reference Appleby, Shaw and AmosAppleby et al, 1999b ); 14% receive in-patient care during this time and one-fifth of these (3-4% of all suicides) die while in hospital (Reference Proulx, Lesage and GrunbergProulx et al, 1997; Appleby et al, Reference Appleby, Dennehy and Thomas1999a ,Reference Appleby, Shaw and Amos b ). Relatively few factors specific to in-patient suicide have been identified and they have limited predictive value (Reference Powell, Geddes and DeeksPowell et al, 2000). The Wessex Recent In-Patient Suicide Study is a case—control study to test two hypotheses: increased suicide risk is associated with particular patient characteristics; and decreased suicide risk is associated with continuity of care. The differences between 234 psychiatric patients who died within a year of discharge and 431 matched controls are reported elsewhere (Reference King, Baldwin and SinclairKing et al, 2001). We now compare 59 additional cases who died as in-patients with their matched controls, and also with those patients who committed suicide following discharge.

METHOD

The method is described fully elsewhere (Reference King, Baldwin and SinclairKing et al, 2001).

Identification of cases

The 373 patients who died by suicide within a year of their final hospital admission formed the overall patient group; 75 of these died while in hospital. The cases in this study were the 59 in-patients (79%) for whom case notes could be found. In-patient suicides who died in hospitals outside Wessex were excluded owing to the difficulties in obtaining ethical approval to inspect the notes of these individual patients.

Matching with control patients

Each index patient was matched with two controls using the following sequential criteria: gender, age, diagnostic group, ward type and admission date. Every index patient was matched with at least one control.

Data collection

One of us (J.M.A.S.) extracted demographic, clinical and health-care data from medical case notes onto the specifically designed study pro forma, with additional data (e.g. legal status and observation level) noted for index patients. When not recorded in the case notes, some further information relating to the circumstances of death (e.g. time of day, place and method of death) was derived from coroners' records, obtained as part of an ongoing audit of suicides in Wessex.

Statistical procedures

We performed univariate and multiple regression analyses using conditional logistic regression (Reference CollettCollett, 1991) in STATA 6 (StataCorp, 1999). We identified 60 potential variables for the in-patient deaths and 105 variables for the out-patient deaths, as already described. Stepwise backward elimination of variables, with probability for rejection set at 0.1, was used to produce a parsimonious model. Non-conditional logistic regression was used in separate comparisons of in-patient and out-patient suicides and their controls.

RESULTS

Study sample

Of the 75 patients who died before discharge, 51 suicides (68%) and 24 open verdicts (32%) were returned. Six cases were excluded and in another ten the case notes were unavailable. The notes of five of these cases were located but they were stored in a room contaminated with blue asbestos and therefore were inaccessible. Of the remaining 59 cases, 47 (80%) had two controls and 12 had one identifiable control. There were no differences in age and gender distribution between the 75 in-patient suicides and the 59 cases included in the study, but it was not possible to compare diagnoses.

The only pre-admission factor that differentiated index patients from controls was a history of deliberate self-harm (Table 1). There was no significant difference between the cases and controls in length of illness, number of previous admissions or family history of either mental illness or suicide.

Table 1 Clinical characteristics of cases and matched controls

Control group Index group P Test
n=106 % n=59 %
Length of psychiatric illness 9.9 years 10.3 years 0.248 t-test
Number of admissions prior to index admission
None 36 34 14 24 [UNK]
One 12 11 13 22 [UNK] 0.124 χ2 (2 d.f.)
Two or more 58 55 32 54 [UNK]
Readmitted to different hospital 13 12 12 20 0.180 FE
Readmitted under different consultant 27 25 16 27 0.166 χ2
Readmitted with different diagnosis 8 8 3 5 0.399 FE
Concomitant physical illness 32 30 17 29 0.853 χ2
Family history of completed suicide 7 7 7 12 0.269 χ2
Family history of mental illness 41 40 27 46 0.491 χ2
History of deliberate self-harm 52 49 43 73 0.003 χ2
Additional Axis II disorder 15 14 8 14 0.916 χ2
History of problem drinking 28 26 14 24 0.704 χ2
History of illicit/prescribed substance misuse 18 17 7 12 0.380 χ2

Admission variables

Of the 59 cases, 37 (63%) had been admitted to old ‘mental hospitals’, 21 to district general hospital psychiatric units and 1 to a private hospital. Sixteen (27%) in-patient deaths occurred within the first week of admission, 32 (54%) between 1 week and 3 months, 7 (12%) after 3 months and 4 (7%) after more than 1 year.

Gender differences between index patients

The male/female in-patient suicide ratio was 1.2:1. Significantly more males (13, 40.6%) than females (2, 7.4%) suffered from schizophrenia or a schizophrenia-like illness (Table 2). A lifetime history of deliberate self-harm was present in 25 females (92.6%) and 17 males (53.1%).

Table 2 Diagnoses of 59 in-patient suicides and 234 discharged patient suicides

In-patient suicides (n=59) Discharged patient suicides (n=234)
Male Female Total Male Female Total
n=32 % n=27 % n=59 % n=145 % n=89 % n=234 %
Male/female ratio 1.2 1 1.6 1
Schizophrenia and schizophrenia-like disorders 13 40.6 2 7.4 15 25.4 31 21.4 10 11.2 41 17.5
Psychotic affective disorders 6 22.2 6 22.2 12 20.3 26 17.9 24 27.0 50 21.4
Non-psychotic affective disorders 12 37.5 15 55.6 27 45.8 60 41.4 44 49.4 104 44.4
Residual diagnoses 1 3.1 3 11.1 4 6.8 28 19 10 11.2 38 16.2
Other 1 3.7 1 1.7 1 1.1 1 0.43

Circumstances of death

Legal status of in-patient suicides

At the time of the event leading to death, 12 patients (22.3%) were detained under the Mental Health Act 1983, 46 (78%) were informal and 1 patient was on Section 17 leave from hospital.

Observation status

Fifteen (25.4%) patients were on leave from hospital at the time of their death. Of those not on leave, 20 (45%) were subject to regular checks and 18 (41%) were subject to low-level routine or general observations. There was no record of observation status for six patients (14%). Discharge plans were being made for 22% of the in-patient deaths. Only 44% of the patients were granted leave during the index admission, compared with 60% of controls. Of those who were granted leave, 35% of patients but only 5% of controls were recalled or returned earlier than planned.

Noted suicide risk at last contact

There was no significant difference between patients and controls in the suicide risk noted at admission. No record of suicide risk was made at last contact with a staff member in 28 cases (47.5%). Risk factors for suicide were noted in 23 cases (39%). For eight patients in whom the risk was both noted and quantified, the risk of suicide was considered low in five and high in three patients.

Time of death

The time of death for four patients was uncertain. Of those who died on hospital premises, 19 deaths (73%) occurred on a weekday and 7 at the weekend. About half of these 26 deaths occurred during the day (42% during weekdays and 57% at the weekend) and one-third during the evening or at night. There was no significant difference between the number of deaths in weekday (49%) and weekend periods (44%).

Location

Twenty-three patients (39.0%) died on the ward or elsewhere in the hospital building and four (6.8%) died within hospital grounds. Thirty-two patients (54%) had left the hospital grounds before the event leading to their death (17 were either on leave or out with permission but 15 had not been granted leave): 12 patients died at home, 1 died on a boat and 19 died elsewhere.

Cause of death

Information from inquest files indicated that hanging was the most common cause of death among in-patients of either gender, accounting for 41% of male and 44% of female deaths. Twelve of the 16 men and 7 of the 10 women hanged themselves in the ward area. Thirty per cent of females but only six per cent of males died from a drug overdose. Currently prescribed drugs were not used by any of the five patients who took fatal overdoses while in the ward. Half of the drug overdoses were taken away from the ward. Of the 19 patients (32%) who died away from hospital premises, 8 men and 2 women were killed by trains or other moving vehicles.

Contact with others after death

Relatives were telephoned after the death of 36 patients (61.1%); in 24 instances the telephone call was followed by face-to-face contact. The relatives of 4 suicides (6.8%) were contacted face-to-face. In 19 patients (32.2%) there was no record of contact with relatives; for 4 of these, contact was made with the patient's general practitioner.

Differences between in-patient and out-patient suicides

Relatively more of the in-patient suicides were women (male/female ratio 1.2:1). The diagnostic distribution is shown in Table 2. In both in-patient and out-patient suicides the majority of patients with schizophrenia and schizophrenia-like disorders were male. Psychotic and nonpsychotic affective disorders were present in a similar proportion of in-patient and out-patient suicides.

Comparison between in-patient suicides and matched controls

Table 3 summarises the 18 variables with a P value of <0.20 in the univariate model and the results of the multiple regression used to produce a parsimonious model. The seven independent variables associated with an increased risk of suicide that remained in the model after backward elimination of variables (with probability for rejection set at 0.1) are shown in Table 4.

Table 3 Factors from univariate analysis (P<0.20) and multiple logistic regression

Factor Controls Cases Univariate Multivariate
n=106 (%) n=59 (%) Odds ratio 95% CI P Odds ratio 95% CI P
Psychiatric history
History of DSH before admission 52 (49) 42 (71) 2.23 1.15-4.34 0.017 3.37 0.93-12.16 0.063
Reason for admission
Involvement with police 11 (10) 13 (22) 2.78 1.08-7.14 0.034 5.07 0.53-48.22 0.157
Aggression with others 12 (11) 11 (19) 1.97 0.73-5.32 0.193 0.73 0.04-14.01 0.835
Suicidal ideation 37 (35) 31 (52) 2.35 1.14-4.85 0.021 2.64 0.45-15.43 0.281
Loss of social support/social factors 50 (47) 20 (34) 0.61 0.31-1.18 0.142 1.13 0.336-3.553 0.830
Planned admission 13 (12) 3 (5) 0.36 0.10-1.30 0.120 0.63 0.66-5.97 0.685
Admitted under MHA 7 (7) 12 (20) 3.27 1.21-8.84 0.019 328.30 8.34-12 920 0.002
Symptoms elicited and noted at Mental State Examination
Depressive symptoms 65 (61) 45 (76) 2.28 1.03-5.01 0.040 52.37 4.84-567.02 0.001
Hopelessness 16 (15.1) 16 (27) 2.26 0.95-5.306 0.064 0.41 0.08-2.06 0.278
Suicidal ideas 34 (32) 28 (47) 2.36 1.08-5.182 0.032 0.42 0.06-3.02 0.388
Hostility 10 (9) 10 (17) 2.25 0.78-6.47 0.134 1.85 0.04-77.06 0.746
Events during admission
MHA applied 20 (19) 22 (37) 2.97 1.32-6.65 0.008 0.02 0.00-1.04 0.052
Violence to property by patient 4 (4) 9 (15) 4.99 1.33-18.71 0.017 6.26 0.51-76.78 0.151
DSH during admission 7 (7) 12 (20) 3.95 1.37-11.39 0.011 1.26 0.23-7.03 0.790
Threat of self-discharge requiring detention 14 (13) 18 (31) 3.40 1.38-8.41 0.008 62.11 1.03-3722.38 0.048
Patient went AWOL 13 (12) 21 (36) 5.55 2.03-15.12 0.001 22.96 2.31-228.31 0.008
Change of consultant during admission 6 (6) 11 (19) 3.97 1.37-11.54 0.011 14.79 0.99-220.46 0.051
Key professional leaving/on leave 3 (3) 7 (12) 4.13 1.06-16.11 0.041 16.42 1.90-141.76 0.011

Table 4 Variables remaining after backward elimination from multiple logistic regression model with probability for rejection set at P < 0.1

Variable Controls (valid n=106) Index (valid n=59) Odds ratio 95% CI P
n % n %
History of DSH before index admission 52 49 42 72 2.59 0.86-7.80 0.090
Admission under MHA 7 7 12 20 49.83 4.97-500.01 0.001
Admitted after involvement with police 11 10 13 22 4.59 0.88-24.07 0.071
Depressive symptoms elicited at admission 65 61 45 76 23.45 3.93-140.13 0.001
Events during admission
Significant professional leaving/on leave 3 3 7 12 17.51 2.68-114.50 0.003
Went AWOL 13 12 21 36 13.05 2.25-75.78 0.004
Showed violence to property 4 4 9 15 10.13 1.54-66.63 0.016

Number of risk factors

Significantly more patients (30, 51%) than controls (12, 11.3%) had three or more of the seven risk factors (Table 5). No social factors were found to discriminate between patients and controls. Admission under the Mental Health Act and depressive symptoms elicited on admission were independently associated with increased risk of suicide.

Table 5 Number of suicide risk factors among index and control in-patients

Number of risk factors Control (n=106) Index (n=59)
(maximum=7) n % n %
0 12 11.3 0
1 46 43.4 7 11.9
2 36 34.0 22 37.3
3 11 10.4 24 40.7
4 1 0.9 4 6.8
5 0 2 3.4
Total 106 100 59 100

Events during admission

A display of violence to property and going absent without leave (AWOL) were both associated with suicide, as was a significant professional leaving employment or going on leave.

Comparison between in-patient and out-patient suicides and controls

Index patients

Admission under the Mental Health Act, going absent without leave or showing violence to property during the final admission occurred significantly more frequently in in-patient than out-patient cases (Table 6).

Table 6 Differences between 59 in-patient suicides and 234 discharged patient suicides and between 106 in-patient suicide controls and 431 discharged in-patient controls (univariate logistic regression)

In-patient v. out-patient In-patient suicides (n=59) Out-patient suicides (n=234) Odds ratio 95% CI P
n % n %
Index
History of DSH before admission 42 71.2 157 67.1 1.21 0.65-2.27 0.548
Admission under MHA 12 20.3 20 8.6 2.73 1.25-5.97 0.012
Admitted after involvement with police 13 22.0 31 13.2 1.85 0.90-3.81 0.095
Depressive symptoms at mental state examination 45 76.3 167 71.4 1.41 0.72-2.79 0.311
Key professional leaving/on leave 7 11.9 12 5.1 2.49 0.93-6.63 0.068
Went AWOL 21 35.6 29 12.4 3.91 2.02-7.56 <0.001
Showed violence to property 9 15.3 12 5.1 3.33 1.33-8.33 0.010
Control In-patient controls (n=106) Out-patient controls (n=431)
History of DSH before admission 52 49.1 179 41.5 1.36 0.89-2.08 0.162
Admitted after involvement with police 11 10.4 45 10.4 0.99 0.49-1.99 0.985
Admissions under MHA 7 6.6 35 8.1 0.80 0.35-1.85 0.603
Depressive symptoms at mental state examination 65 61.3 275 63.8 0.90 0.58-1.39 0.635
Key professional leaving/on leave 3 2.8 4 0.9 3.11 0.68-4.10 0.142
Went AWOL 13 12.3 37 8.6 1.49 0.76-2.91 0.245
Showed violence to property 4 3.8 19 4.4 0.85 0.28-0.55 0.773

There was no significant difference between in-patient and out-patient suicides in the presence of depressive symptoms at admission (76.3% v. 71.4%) or the absence of a significant health-care professional at the time of the event leading to death (2.8% v. 0.9%). The social factors associated with an altered risk of suicide following discharge do not appear to affect the risk of in-patient suicide (Reference King, Baldwin and SinclairKing et al, 2001) (Table 7).

Table 7 Comparison of independent factors associated with increased suicide risk in in-patient suicides and out-patient suicides: factors from multivariate logistic regression analysis remaining after backward elimination of variables with a P value for rejection of 0.10

Factor In-patients Out-patients
Control n=106 (%) Index n=59 (%) Odds ratio 95% CI P Control n=431 (%) Index n=234 (%) Odds ratio 95% CI P
Social/demographic
Living alone 135 (31) 95 (41) 1.87 1.19-2.93 0.006
Not White 23 (5) 24 (10) 2.22 1.04-4.75 0.039
Index admission
New1 consultant 231 (54) 147 (63) 1.56 1.01-2.41 0.042
Admitted under MHA 7 (7) 12 (20) 49.83 5.0-500 0.001
Psychiatric history
History of DSH 52 (49) 42 (71) 2.59 0.86-7.8 0.09 179 (44.3) 157 (69.8) 3.61 2.34-5.59 <0.001
Reason for admission
Involved with police 11 (10) 13 (22) 4.59 0.9-24.1 0.071
Symptoms elicited and recorded at admission
Suicidal ideation 160 (39.6) 114 (50.7) 2.0 1.3-3.1 0.002
Hopelessness 58 (14.4) 62 (27.6) 1.8 1.07-14.2 0.026
Depressive features 65 (61) 46 (78) 23.45 3.9-140 0.001
Events after admission
Went AWOL 13 (12) 21 (36) 13.05 2.2-75.8 0.004
Showed violence to property 4 (4) 9 (15) 10.13 1.5-66.7 0.016
Key professional leaving/on leave 3 (3) 7 (12) 17.51 2.7-114 0.003
Loss of job 5 (1.2) 12 (6.3) 7.2 2.0-26.2 0.003
New relationship problem 7 (1.7) 11 (4.9) 4.1 1.2-14.2 0.029
Events post-discharge
Key professional leaving/on leave 4 (1.0) 12 (5.3) 13.9 3.0-63.9 0.001

Controls

In-patient controls and out-patient controls did not differ in any of these variables.

DISCUSSION

We have identified seven factors associated with a significant increase in the risk of suicide while receiving psychiatric in-patient care.

Study limitations

As described in the accompanying paper (Reference King, Baldwin and SinclairKing et al, 2001), this study has three limitations. The first is the reliance on data collected retrospectively from case notes not intended for research purposes. The second is that the data collection was not performed blind to patient outcome. The final limitation is that many variables were analysed, although these were identified as potential factors a priori, with correction for multiple variables.

Study strengths

However, the study design has several advantages. First, data were collected using a standardised instrument, with operationally defined criteria. The patients were identified through the long-running Wessex Suicide Audit with ready access to coroners' records. Because of its size, data could be limited to a period of 8 years, in contrast to a recent study in which data were derived from admissions over a 30-year period (Reference Powell, Geddes and DeeksPowell et al, 2000).

Comparison with previous investigations

The in-patient suicides in this study are similar to those in previous cohorts, irrespective of country, including New Zealand (Reference Read, Thomas and MellsopRead et al, 1993), Australia (Reference Shah and GanesvaranShah & Ganesvaran, 1997), Canada (Reference Proulx, Lesage and GrunbergProulx et al, 1997) and Ireland (Reference Coakley, Carey and OwensCoakley et al, 1996). There are similarities in the proportion of patients with psychotic illnesses, particularly schizophrenia (Reference Modestin and HoffmannModestin & Hoffmann, 1989; Reference Coakley, Carey and OwensCoakley et al, 1996; Reference Proulx, Lesage and GrunbergProulx et al, 1997; Reference Shah and GanesvaranShah & Ganesvaran, 1997), and in those with a history of deliberate self-harm or requiring compulsory admission (Reference Read, Thomas and MellsopRead et al, 1993). Furthermore, there are similarities in deaths from hanging or associated with moving vehicles, and in the prevalence of deaths occurring away from the ward (Reference Proulx, Lesage and GrunbergProulx et al, 1997; Reference Shah and GanesvaranShah & Ganesvaran, 1997). As such, the findings of this study may be widely applicable.

Comparison with out-patient suicides

There is a relative excess of female in-patient suicides, the male/female ratio being 1.2:1, similar to that found in other studies (Reference Proulx, Lesage and GrunbergProulx et al, 1997; Reference Powell, Geddes and DeeksPowell et al, 2000). Certain risk factors for suicide in in-patients, such as admission under the Mental Health Act, involvement of police, violence towards property and going absent without leave, may reflect greater turmoil than is seen in those patients who kill themselves after discharge. Social factors appear relatively more important in out-patient suicides.

Implications for clinical practice

Six of the seven identified risk factors for in-patient suicide are patient-related. Four of these are factors generally recorded on admission (being admitted under the Mental Health Act, or after involvement with police, the presence of depressive symptoms and a history of deliberate self-harm). The other two, namely display of violence to property and going absent without leave, were recorded during admission.

The six patient-related factors are easily recorded, either as part of the standard admission procedure or in routine ward observations. Some factors are common, such as the presence of depressive symptoms, but others occur less often, for example being admitted under the Mental Health Act and/or via the police. Violence to property and being AWOL are relatively infrequent. When health professionals are about to go on leave it may be advisable to make careful arrangements for continuity of care, particularly if other risk factors are present.

Self-poisoning represents a much lower proportion of in-patient than out-patient suicides. Because none of the in-patients who died from a fatal overdose used currently prescribed medication, this suggests that restricting access to potentially fatal means can reduce the number of drug-related deaths. Restricting the means of self-hanging is more difficult, but optimising the ward environment and patient observation has the potential to make some impact on in-patient deaths.

There was no difference in recorded suicide risk in either patients or controls at admission, but in almost half of the cases no statement of risk had been recorded by staff at their last contact with the patient. Continuing the risk assessment process throughout hospital care may allow potential risk and protective factors to be identified. Although the odds ratios for risk factors are high, they occur in only a minority of patients and thus the sensitivity of individual risk factors is low.

The risk of suicide is present in many psychiatric in-patients. Although the ability to predict suicide accurately is limited, the conscientious and continuing assessment of individual risk and thoughtful policies and procedures may prevent some fatal outcomes (Reference SedererSederer, 1994).

Clinical Implications and Limitations

CLINICAL IMPLICATIONS

  • Seven independent risk factors distinguish cases from controls.

  • In-patient and out-patient suicides differ in certain characteristics, the in-patients showing greater signs of personal turmoil.

  • Restricting access to potentially fatal methods may prevent some deaths.

LIMITATIONS

  • Data were collected retrospectively, and not blind to patient outcome.

  • The number of in-patient deaths was not great (n=59) and occurred over 8 years.

  • The findings require confirmation in a prospective study.

ACKNOWLEDGEMENTS

This work was undertaken through a grant from the South and West Health Authority Research and Development Directorate, with an additional grant from the Research Support Subcommittee of the University of Southampton.

Footnotes

See part I, pp. 531–536, this issue.

Declaration of interest

This study was funded by the NHS South & West Research and Development Directorate.

References

Appleby, L. Dennehy, J. A. Thomas, C. S. et al (1999a) Aftercare and clinical characteristics of people with mental illness who commit suicide: a case-control study. Lancet, 353, 13971400.Google Scholar
Appleby, L. Shaw, J. Amos, T. et al (1999b) Suicide within 12 months of contact with mental health services: national clinical survey. British Medical Journal, 318, 12351239.Google Scholar
Coakley, G. M. Carey, T. G. & Owens, J. M. (1996) A study of psychiatric inpatient suicides. Irish Journal of Psychological Medicine, 13, 102104.CrossRefGoogle Scholar
Collett, D. (1991) Modelling Binary Data. London: Chapman & Hall.Google Scholar
King, E. A. Baldwin, D. S. Sinclair, J. M. A. et al (2001) The Wessex Recent In-Patient Suicide Study, 1. Case–control study of 234 recently discharged psychiatric patient suicides. British Journal of Psychiatry, 178, 531536.Google Scholar
Modestin, J. & Hoffmann, H. (1989) Completed suicide in psychiatric inpatients and former inpatients. A comparative study. Acta Psychiatrica Scandinavica, 79, 229234.Google Scholar
Pirkis, J. & Burgess, P. (1998) Suicides and recency of health care contacts. A systematic review. British Journal of Psychiatry, 173, 462474.CrossRefGoogle ScholarPubMed
Powell, J. Geddes, J. Deeks, J. et al (2000) Suicide in psychiatric hospital in-patients. Risk factors and their predictive power. British Journal of Psychiatry, 176, 266272.Google Scholar
Proulx, F. Lesage, A. D. & Grunberg, F. (1997) One hundred in-patient suicides. British Journal of Psychiatry, 171, 247250.Google Scholar
Read, D. A. Thomas, C. S. & Mellsop, G. W. (1993) Suicide among psychiatric in-patients in the Wellington region. Australian and New Zealand Journal of Psychiatry, 27, 392398.CrossRefGoogle ScholarPubMed
Sederer, L. I. (1994) Managing suicidal inpatients. Death Studies, 18, 471482.Google Scholar
Shah, A. K. & Ganesvaran, T. (1997) Inpatient suicides in an Australian mental hospital. Australian and New Zealand Journal of Psychiatry, 31, 291298.Google Scholar
StataCorp (1999) Statistical Software: Release 6.0. College Station, TX: Stata Corporation.Google Scholar
Figure 0

Table 1 Clinical characteristics of cases and matched controls

Figure 1

Table 2 Diagnoses of 59 in-patient suicides and 234 discharged patient suicides

Figure 2

Table 3 Factors from univariate analysis (P<0.20) and multiple logistic regression

Figure 3

Table 4 Variables remaining after backward elimination from multiple logistic regression model with probability for rejection set at P < 0.1

Figure 4

Table 5 Number of suicide risk factors among index and control in-patients

Figure 5

Table 6 Differences between 59 in-patient suicides and 234 discharged patient suicides and between 106 in-patient suicide controls and 431 discharged in-patient controls (univariate logistic regression)

Figure 6

Table 7 Comparison of independent factors associated with increased suicide risk in in-patient suicides and out-patient suicides: factors from multivariate logistic regression analysis remaining after backward elimination of variables with a P value for rejection of 0.10

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