Skip to main content
Full access
Articles
Published Online: 15 October 2014

Prevalence and Correlates of Suicidal Ideation Among Parolees

Abstract

Objective

This study examined the prevalence and correlates of suicidal ideation among parolees and among persons who were not on parole.

Methods

Three years of data (2009 to 2011) from the National Survey on Drug Use and Health were analyzed. Data on sociodemographic and clinical characteristics and violent behaviors of parolees (N=1,249) and nonparolees (N=114,033) were examined as indicators of need and as predictors of suicidal ideation. Multivariate logistic regression analysis was conducted, using suicidal ideation as the dependent variable.

Results

Over the three years, the average prevalence of suicidal ideation among parolees (8.6%) was more than twice that among nonparolees (3.7%). Characteristics associated with decreased suicidal ideation among nonparolees, such as being married, older, and employed, were not related to lower suicidal ideation among parolees. For parolees, having health insurance decreased the likelihood of suicidal ideation by 50%. Parolees who received a past-year prescription for a mood disorder did not have higher rates of suicidal ideation, although this variable was associated with higher suicidal ideation among nonparolees. Parolees were significantly more likely than nonparolees to rate their health as poor (4.1% versus 2.6%).

Conclusions

Results indicated that parolees have more life stressors and that providing them with access to health care might lower suicidal ideation. Because parolees were more likely to rate their health as poor, providing access to medical care may improve their quality of life and their chance of successful return to the community.
Suicide is the tenth leading cause of death in the general population in the United States, and suicidal behavior leads to nearly a half-million emergency room visits annually (1). Suicide is often the second or third leading cause of death among state prison inmates (2,3). Compared with rates in the general population, rates of self-harm are higher among prison inmates before incarceration (7.5 times higher than the general population) (4) and while in custody (six times higher) (5,6). Each additional year of prison stay increases the risk of mortality by almost 16% (7).
Several studies outside the United States found that recently released inmates had higher suicide rates than the general population (6,811). In the first year after their release from prison, males were eight times more likely than males in the general population and females were 36 times more likely than females in the general population to die of self-inflicted harm (11).
Prevalence rates of suicidal ideation and suicidal behaviors are higher among prisoners than in the general population (5). Prisoners with suicidal ideation tend to be young, single, and undereducated (5). They have little family support and have a history of adverse life events, including self-harm and physical and sexual abuse (5,12). In the general population, persons who have poor general medical health (13), who live alone (14), or who are substance abusers (5,15) are also more likely to commit suicide. A study by Hayes (16), which examined intake records of all jail inmates, found that during the intake process a third of inmates who later committed suicide in jail had reported prior suicide attempts. Reviews of completed suicides of inmates in California (17) and Missouri (18) found that most had a known history of suicidal behavior or ideation.
Although details of inmates’ mental disorders are often unknown, one study found that 34% of jail inmates who committed suicide had a history of mental illness (16). In a review of case files of inmates who completed suicide, 73% had a history of mental illness (17). The relationship between specific mental disorders and suicide is less clear for several reasons, including psychiatric comorbidity (19), concerns related to valid estimates of certain types of mental illness (20), and misclassification of causes of death (21). Psychosis or affective disorders (22), including depression (16) and neurotic disorders (5), were the mental disorders most commonly found among prisoners who committed suicide. These findings concur with the literature on specific mental disorders as suicide risk factors in the general population. Suicidal behaviors have been found to be higher in the general population among persons with a major depressive disorder, panic disorder, social phobia, posttraumatic stress disorder, conduct disorder, and alcohol abuse (19). Way and colleagues (15) found schizophrenia to be a significant suicide risk factor among prisoners. Many community surveys, however, exclude measures of schizophrenia because of concerns about valid estimates in community settings (20).
The risk of death from suicide among former prison inmates in the first month of their release is three times that of the general population (23,24). The transition from prison to the community is often difficult. Released prisoners must obtain housing, reestablish relationships, find employment, and access health care (25). Former offenders often lack adequate education and employment opportunities and experience addiction and mental illness.
The presence of suicidal ideation is an indicator of poor emotional or physical well-being (26). Therefore, the presence of suicidal ideation among former prison inmates, regardless of whether it leads to suicidal behavior, needs to be addressed as a risk factor for poor adjustment to community life. A limited number of studies have examined the prevalence and correlates of suicidal ideation among parolees. This study compared the prevalence and correlates of suicidal ideation among parolees and among individuals in the general population who were not parolees.

Methods

NSDUH data

National Survey on Drug Use and Health (NSDUH) data from 2009 to 2011 were analyzed to examine the prevalence and correlates of suicidal ideation among respondents who were parolees and those who were not. Approximately 70,000 noninstitutionalized civilians participate in the survey annually (27). The sample is selected by using a multistage area proportional probability method. State is the first level of stratification, followed by state sampling region (SSR), census tract, and dwelling unit. About 50% of SSRs, not respondents, are overlapped for five years to increase the validity of estimates in trend analysis (27). A subset of survey respondents is interviewed to ensure validity of answers. If the answers cannot be verified, the survey respondent is dropped from the data. Respondents are offered a $30 incentive to increase response rates. To ensure confidentiality, the NSDUH is conducted in the privacy of the respondent’s home, and a computer-assisted personal interview is utilized.

Sample weight

The Substance Abuse and Mental Health Services Administration (SAMHSA) utilizes NSDUH data to obtain national estimates of the prevalence of substance use (27). National estimates are possible because each respondent is given a person-level weight for the number of individuals he or she represents on the basis of the multistage sampling method. Sample weights are calculated to reflect each state and the U.S. general population (28).The final sampling weights are adjusted on the basis of seven factors, including nonresponse and extreme weights. SAMHSA recommends applying the final weight variable to obtain unbiased national estimates of prevalence. Because the application of the weight produces underestimated standard errors, the final weight is applied to estimate prevalence but is not applied in the regression analysis (29). Westlake and colleagues (30) provided detailed information regarding the sample weight calculation.

Statistical analysis

Only respondents age 18 and older were asked questions related to mental health. The final nonweighted sample consisted of 1,249 parolees and 114,033 respondents who were not parolees (nonparolees). Presence of suicidal ideation was measured by the following NSDUH question: “At any time in the past 12 months . . . including today, did you seriously think about trying to kill yourself?” The grouping variable was parole status, which was measured by a question about whether the respondent was “on parole, supervised release, or other conditional release from prison at any time during the past 12 months.”
The first step of analysis examined prevalence of suicidal ideation among parolees and nonparolees with the sample weight applied. Multivariate logistic regression analysis was conducted for the two groups, using suicidal ideation as the dependent variable to understand its correlates. The year of data collection was included to control for time-specific confounding impacts.

Results

Prevalence of suicidal ideation

Table 1 presents prevalence rates for suicidal ideation by parole status. The average rate for parolees was more than twice that for nonparolees (8.6% versus 3.7%). The rate for parolees fluctuated, compared with the rate for nonparolees. The 2009 rate of 10.1% for parolees declined to 6.9% in 2010 (6.9%) and increased to 8.3% in 2011. No data were available to determine how much of the change was caused by sampling errors from the relatively small representation of parolees in the three annual subsamples.
Table 1 NSDUH respondents who reported past-year suicidal ideation, by parole statusa
Survey yearTotal N of parolees% with suicidal ideationTotal N of nonparolees% with suicidal ideation
20091,811,87010.1221,457,9743.6
20101,530,7616.9227,748,8163.8
20111,680,1798.3232,625,2993.7
Average1,674,2708.6227,275,0303.7
a
Weighted data from the National Survey on Drug Use and Health (NSDUH)

Characteristics of parolees and nonparolees

Table 2 summarizes data on characteristics of parolees and nonparolees. Results were consistent with previous research: a large percentage of parolees were from racial-ethnic minority groups. Among nonparolees, 11.5% were black, compared with 25.8% of parolees. The disparity was similar for Hispanics—14.0% of nonparolees and 25.7% of parolees. Parolees were less likely than nonparolees to be married (26.0% versus 53.8%), employed (80.0% versus 93.9%), and a high school graduate (57.7% versus 85.5%). They were also less likely to have attended religious services in the past month (57.2% versus 63.0%).
Table 2 Characteristics of NSDUH respondents, by parole statusa
CharacteristicParolees (%)Nonparolees (%)χ2b
Married26.053.81,551,646
Female21.652.11,855,104
Age ≤29 years37.621.8723,777
Black25.811.5997,901
Hispanic25.714.0563,247
High school graduate57.785.53,067,604
Employed80.093.91,481,212
Lives alone (1-person household)10.212.626,581
In the past month   
 Attended religious services57.263.072,273
 Used alcohol52.955.816,764
 Used an illicit drugc24.38.51,607,845
 Missed work due to injury or illness12.812.03,179
In the past year   
 Serious psychological distress22.210.2785,189
 Major depressive episode12.66.6295,401
 Prescription medication for a mood disorder7.25.144,878
 Overnight stay as a hospital inpatient13.010.434,119
 Health insurance54.283.83,192,562
 Poor health4.12.640,665
 Attacked someone with intent to seriously hurt the person7.11.31,324,974
a
Weighted data from the National Survey on Drug Use and Health (NSDUH), 2009–2011
b
All chi square tests were significant (p<.001; df=1).
c
Marijuana, heroin, crack, cocaine, inhalants, hallucinogens, or prescription psychotropic medications without a prescription
Almost a quarter of parolees (24.3%) reported using illegal substances in the past month, about three times the rate for nonparolees (8.5%). Despite parolees' higher past-year prevalence of psychological distress (22.2% versus 10.2%) and depressive episodes (12.6% versus 6.6%), about the same percentage of parolees and nonparolees reported taking prescription medication for a mood disorder (7.2% versus 5.1%). Almost half of parolees (45.8%) had no health insurance, as opposed to 16.2% of nonparolees. Not surprisingly, a larger percentage of parolees than nonparolees rated their health as poor (4.1% versus 2.6%). Given that 37.6% of parolees were under the age 30, compared with 21.8% of nonparolees, this is an unexpected finding. In addition, parolees were almost six times more likely than nonparolees to have attacked someone in the past year (7.1% versus 1.3%).

Correlates of suicidal ideation

Table 3 presents multivariate logistic regression results. For parolees, many sociodemographic characteristics were not associated with suicidal ideation. For parolees, being married, being age 30 and older, being employed, and attending religious services were not related to having a lower rate of suicidal ideation; however, among nonparolees, these characteristics were significantly associated with a lower rate. Being a high school graduate was associated with increased suicidal ideation among parolees (odds ratio [OR]=1.62); however, among nonparolees, being a high school graduate was associated with a lower rate of suicidal ideation (OR=.91). For both groups, serious psychological distress, major depressive episode, illicit substance use, and inpatient stay were related to increased suicidal ideation. For parolees, these variables increased the odds of suicidal ideation by a factor of 2 to 5.
Table 3 Multivariate logistic regression analysis of predictors of suicidal ideation among NSDUH respondents, by parole statusa
PredictorParolees (N=1,249)Nonparolees (N=114,033)
OR95% CIpOR95% CIp
Survey year (reference: 2011)  .036  ns
 20101.53.90–2.60ns.96.90–1.04ns
 2009.74.42–1.33ns1.00.93–1.07ns
Married (reference: not married)1.05.55–2.03ns.73.67–78<.001
Female (reference: male)1.48.90–2.44ns.88.83–.94<.001
Age ≤29 years (reference: ≥30 years).92.55–1.56ns1.231.14–1.32<.001
Black (reference: not black)1.04.59–1.84ns1.03.94–1.13ns
Hispanic (reference: not Hispanic).55.27–1.09ns.90.83–.99.023
High school graduate (reference: no)1.621.01–2.61.047.91.84–.98.016
Employed (reference: unemployed)1.07.62–1.84ns.79.72–.86<.001
Lived alone (reference: lived with others)1.26.59–2.71ns1.01.91–1.18ns
In the past monthc      
 Attended religious services.73.46–1.67ns.87.82–.93<.001
 Used alcohol.72.45–1.15ns.94.89–1.01ns
 Used an illicit drugb2.201.36–3.57.0011.671.56–1.79<.001
 Missed work due to injury or illness.87.44–1.70ns1.131.05–1.22.002
In the past yearc      
 Serious psychological distress5.203.01–8.66<.0016.766.31–7.24<.001
 Major depressive episode3.391.90–6.06<.0013.743.46–4.03<.001
 Prescription medication for a mood disorder1.28.62–2.66ns1.531.40–1.67<.001
 Have health insurance.50.32–.81.004.94.87–1.00ns
 Overnight stay as a hospital inpatient2.561.45–4.55.0011.451.33–1.57<.001
 Poor health.97.34–2.77ns1.371.17–1.61<.001
 Attacked someone with intent to seriously hurt the person1.33.74–2.40ns1.941.73–2.17<.001
a
Unweighted data from the National Survey on Drug Use and Health (NSDUH), 2009–2011. Cox and Snell R2: parolees, R2=.14; nonparolees, R2=.10; Nagelkerke R2: parolees, R2=.32; nonparolees, R2=.30
b
Marijuana, heroin, crack, cocaine, inhalants, hallucinogens, or prescription psychotropic medications without a prescription
c
Dichotomous variables (reference group: no or none)
For parolees, having health insurance decreased the odds of suicidal ideation by half (OR=.50); however, having insurance was not significantly related to suicidal ideation among nonparolees. Among parolees, those taking prescription medication for a mood disorder did not have a higher likelihood of having suicidal ideation, whereas this variable was related to increased suicidal ideation among nonparolees (OR=1.53).

Discussion

This study examined the prevalence and correlates of suicidal ideation among respondents to a national survey who reported being on parole and among those who did not. Suicidal ideation was more than twice as prevalent among parolees. The results highlight the importance of providing parolees with access to health care. Having health insurance decreased the odds of suicidal ideation by half among parolees. For nonparolees, access to health care was not related to suicidal ideation, even though most of the other demographic and clinical variables examined were significantly related to suicidal ideation among nonparolees. Thus the finding about health insurance may point to an additional vulnerability among parolees. Nonparolees without health care coverage may have family and other social institutional support that lowers the incidence of suicidal ideation.
In addition, despite their relative youth, parolees were more likely than nonparolees to rate their health as poor and to have stayed in a hospital overnight. Although it was not possible to determine whether parolees with health insurance utilized health care or to assess the quality of the care they received, providing health insurance for this vulnerable population seems a promising approach to reducing suicidal ideation.
The results also indicated that parolees who had received a prescription for a mood disorder medication were no more likely than nonparolees to have suicidal ideation. Therefore, policies and practices that ensure parolees’ access to health care and adherence to psychiatric medication regimens may improve parolee management and reduce the prevalence of suicidal ideation.
Parolees were more than five times as likely as nonparolees to have attacked someone in the past year with intent to seriously harm the person. This finding is alarming in two respects. First, almost half of parolees did not have health insurance coverage. If they sustained injuries during physical altercations, they may not have received proper medical care or may have resorted to utilizing emergency care. In addition, attacking someone may lead to arrest, which may mean parole revocation.
Despite high unemployment among parolees, their employment status was not associated with health care coverage or to suicidal ideation in multivariate and bivariate analyses (results not shown), whereas employment status significantly predicted a lower likelihood of suicidal ideation among nonparolees in both analyses. A possible explanation for this finding is that parolees may be engaged in employment that does not provide health insurance or does not generate enough income to purchase private insurance.
As with any self-report survey, NSDUH data may reflect underreporting due to social stigma or social desirability (31). To estimate sampling error in the NSDUH and to assess confidence intervals and validity of the data, SAMHSA calculates standard errors and design effects (27). Nine substance use and treatment variables were used to assess sampling error by comparing observed outcomes with expected outcomes for three age groups and the entire sample. None of the examined variables were judged to be of poor precision to cause a concern about sampling error. Although this assessment lends confidence to the results of this study, it does not directly address whether the observed variations in prevalence of parolees’ suicidal ideation reflect true changes or sampling error. It is not possible to accurately determine the cause of changes because suicidal ideation was not used to assess the validity of the sampling design. Because of the observed changes in prevalence, we included the survey year as a predictor, using the latest year (2011) as the reference group to control for time-specific disturbances. The results from models with and without the survey year (results not shown) were largely the same. Therefore, the correlates of suicidal ideation identified in our model proved to be robust and were unaffected by disturbances associated with temporal factors.

Conclusions

It should be emphasized that although most individuals with suicidal ideation may never attempt suicide, decreasing suicidal ideation is a first step in preventing suicidal behavior and helping parolees transition to life in the community (2,23,24,32,33). Our findings indicate that suicidal ideation among parolees was not entirely determined by events that happened during incarceration or by health conditions and that suicidal ideation may be amenable to postrelease interventions. Specifically, our data indicated that a lack of health insurance was positively correlated with suicidal ideation.
These preliminary findings underscore the importance of implementing a seamless transition of care for parolees with mental health needs. Increasing eligibility for and utilization of public health insurance (for example, Medicaid) among parolees at the time of release is paramount for this continuity of care. Formerly incarcerated persons are overreliant on public health services. Without Medicaid, they must rely on charity care to meet their health care needs. Charity care is not a promising alternative to Medicaid. It is not regulated and must rely on voluntary initiatives of hospitals and doctors. Recent research from the Oregon Health Insurance Experiment found that expanding Medicaid for low-income adults increased health care utilization and lowered the probability of a positive screen for depression by 30% (34).
It is anticipated that prisoners will make up a large percentage of the Medicaid expansion population under the Affordable Care Act. To ensure seamless continuity of care, correctional departments will need to hire and train case managers or discharge planners to identify prisoners who are eligible for Medicaid and other health care benefits, assist them with completing the application forms, and ensure that the parolee, if not automatically enrolled in Medicaid, completes the application process at a social service office within the first few days of release and receives a health insurance card.
In addition to providing help with insurance coverage and medication, parole supervisors can help decrease suicidal ideation and behavior by identifying and referring parolees with specific mental disorders to psychiatric treatment, especially those with depression, substance use disorders, and schizophrenia (35,36). It is important to work with at-risk former offenders (37,38) and follow up with those who have expressed suicidal ideation or made a suicide attempt (39).
National data indicate that about a third of inmates who commit suicide had expressed suicidal ideation during the prison intake process (16). Nevertheless, actions are often not taken to prevent inmate suicides (40). A comprehensive study of more than 16,000 correctional facilities found that most jails and prisons did not have effective suicide prevention programs (16). This neglect applies to recently released inmates as well. Preventive screening can now be done efficiently; several standardized tools for assessment of self-harm risk have been validated among criminal offenders (41). Many of these tools are readily available to correctional authorities, allowing targeted follow-up of suicidal ideation and attempts.
Parole supervision is often focused on monitoring offenders for violations rather than ensuring that they receive needed services and treatments (4244). Prevalence of suicidal ideation among parolees has not been adequately addressed because suicidal ideation is not understood as a major obstacle to successful social integration. In fact, suicide prevention is often not a priority for community correctional agencies, and parole officers are rarely trained to recognize warning signs. Findings of this study may prompt parole agencies to implement screening for current suicidal ideation and to devise preventive measures. Although some risk factors for suicide, such as substance use, aggression, and mental or general medical conditions may be difficult to modify or change, this study identified a protective factor that is relatively easy to implement: health insurance coverage for parolees. Implementation of the Affordable Care Act may lead to lower suicide rates among parolees and may help improve their general health status.

Acknowledgments and disclosures

This study was partially funded by grant 5P20MD006118 from the National Institute on Minority Health and Health Disparities. The views expressed do not necessarily reflect the official policies of the U.S. Department of Health and Human Services. Mention of trade names, commercial practices, or organizations does not imply endorsement by the U.S. government or John Jay College of Criminal Justice.
The authors report no competing interests.

References

1.
Suicidal Thoughts and Behaviors Among Adults Aged ≥18 Years—United States, 2008–2009. Atlanta, Centers for Disease Control and Prevention, 2011
2.
Mumola C: Suicide and Homicide in State Prisons and Local Jails: Special Report. Washington, DC, US Department of Justice, Office of Justice Programs, Bureau of Justice Statistics, 2005
3.
Bernstein D: Inmate Mortality Report: 2007–2010. Albany, State of New York Department of Corrections and Community Supervision, 2011
4.
Kubzansky LD, Subramanian SV, Kawachi I, et al.: Neighborhood contextual influences on depressive symptoms in the elderly. American Journal of Epidemiology 162:253–260, 2005
5.
Jenkins R, Bhugra D, Meltzer H, et al.: Psychiatric and social aspects of suicidal behaviour in prisons. Psychological Medicine 35:257–269, 2005
6.
Sattar G: The death of offenders in England and Wales. Crisis 24:17–23, 2003
7.
Patterson EJ: The dose-response of time served in prison on mortality: New York State, 1989–2003. American Journal of Public Health 103:523–528, 2013
8.
Kariminia A, Butler T, Corben S, et al.: Extreme cause-specific mortality in a cohort of adult prisoners—1988 to 2002: a data-linkage study. International Journal of Epidemiology 36:310–316, 2007
9.
Joukamaa M: The mortality of released Finnish prisoners; a 7 year follow-up study of the WATTU project. Forensic Science International 96:11–19, 1998
10.
Hunt IM, Kapur N, Webb R, et al.: Suicide in recently discharged psychiatric patients: a case-control study. Psychological Medicine 39:443–449, 2009
11.
Pratt D, Piper M, Appleby L, et al.: Suicide in recently released prisoners: a population-based cohort study. Lancet 368:119–123, 2006
12.
Fruehwald S, Matschnig T, Koenig F, et al.: Suicide in custody: case-control study. British Journal of Psychiatry 185:494–498, 2004
13.
Duberstein PR, Conwell Y, Conner KR, et al.: Suicide at 50 years of age and older: perceived physical illness, family discord and financial strain. Psychological Medicine 34:137–146, 2004
14.
Haw C, Hawton K: Living alone and deliberate self-harm: a case-control study of characteristics and risk factors. Social Psychiatry and Psychiatric Epidemiology 46:1115–1125, 2011
15.
Way BB, Miraglia R, Sawyer DA, et al.: Factors related to suicide in New York state prisons. International Journal of Law and Psychiatry 28:207–221, 2005
16.
Hayes LM: National Study of Jail Suicide: 20 Years Later. Washington, DC, National Institute of Corrections, National Center on Institutions and Alternatives, 2010
17.
Patterson RF, Hughes K: Review of completed suicides in the California Department of Corrections and Rehabilitation, 1999 to 2004. Psychiatric Services 59:676–682, 2008
18.
Daniel AE, Fleming J: Suicides in a state correctional system, 1992–2002: a review. Journal of Correctional Health Care 12:24–35, 2006
19.
Nock MK, Hwang I, Sampson NA, et al.: Mental disorders, comorbidity and suicidal behavior: results from the National Comorbidity Survey Replication. Molecular Psychiatry 15:868–876, 2010
20.
Nock MK, Borges G, Bromet EJ, et al.: Cross-national prevalence and risk factors for suicidal ideation, plans and attempts. British Journal of Psychiatry 192:98–105, 2008
21.
Phillips MR, Yang G, Li S, et al.: Suicide and the unique prevalence pattern of schizophrenia in mainland China: a retrospective observational study. Lancet 364:1062–1068, 2004
22.
Shaw J, Baker D, Hunt IM, et al.: Suicide by prisoners: national clinical survey. British Journal of Psychiatry 184:263–267, 2004
23.
Binswanger IA, Stern MF, Deyo RA, et al.: Release from prison—a high risk of death for former inmates. New England Journal of Medicine 356:157–165, 2007
24.
Rosen DL, Schoenbach VJ, Wohl DA: All-cause and cause-specific mortality among men released from state prison, 1980–2005. American Journal of Public Health 98:2278–2284, 2008
25.
Petersilia J: When Prisoners Come Home: Parole and Prisoner Reentry. New York, Oxford University Press, 2003
26.
Fitzpatrick KM, Irwin J, Lagory M, et al.: Just thinking about it: social capital and suicide ideation among homeless persons. Journal of Health Psychology 12:750–760, 2007
27.
Gordek H, Folsom R: 2011 National Survey on Drug Use and Health: Sampling Error Report. Rockville, Md, Substance Abuse and Mental Health Services Administration, 2012
28.
Morton KB, Martin PC, Shook-Sa BE, et al.: 2011 National Survey on Drug Use and Health: Sample Design Report. Rockville, Md, Substance Abuse and Mental Health Services Administration, 2012
29.
Hahs-Vaughn DL: A primer for using and understanding weights with national datasets. Journal of Experimental Education 73:221–248, 2005
30.
Westlake M, Chen P, Gordek H: 2011 National Survey on Drug Use and Health: Questionnaire Dwelling Unit-Level and Person Pair-Level Sampling Weight Calibration. Rockville, Md, Substance Abuse and Mental Health Services Administration, 2013
31.
Heerwegh D: Mode Differences Between Face-to-Face and Web Surveys: An Experimental Investigation of Data Quality and Social Desirability Effects. International Journal of Public Opinion Research 21:111–121, 2009
32.
Noonan ME, Carson EA: Prison and jail deaths; in Custody, 2000–2009: Statistical Tables. Washington, DC, Bureau of Justice Statistics, 2011
33.
Spaulding AC, Seals RM, McCallum VA, et al.: Prisoner survival inside and outside of the institution: implications for health-care planning. American Journal of Epidemiology 173:479–487, 2011
34.
Baicker K, Taubman SL, Allen HL, et al.: The Oregon experiment: effects of Medicaid on clinical outcomes. New England Journal of Medicine 368:1713–1722, 2013
35.
Kroner DG, Kang T, Mills JF, et al.: Reliabilities, validities, and cutoff scores of the depression hopelessness suicide screening form among women offenders. Criminal Justice and Behavior 38:310–316, 2011
36.
Ruiz MA, Douglas KS, Edens JF, et al.: Co-occurring mental health and substance use problems in offenders: implications for risk assessment. Psychological Assessment 24:77–87, 2012
37.
Jenson JM, Howard MO: Hallucinogen use among juvenile probationers: prevalence and characteristics. Criminal Justice and Behavior 26:357–372, 1999
38.
Sorenson SB, Vittes KA: Mental health and firearms in community-based surveys: implications for suicide prevention. Evaluation Review 32:239–256, 2008
39.
Sabbatine R: An “extended care” community corrections model for seriously mentally ill offenders. Journal of Offender Rehabilitation 45:55–57, 2007
40.
Fruehwald S, Frottier P, Matschnig T, et al.: The relevance of suicidal behaviour in jail and prison suicides. European Psychiatry 18:161–165, 2003
41.
Perry AE, Marandos R, Coulton S, et al.: Screening tools assessing risk of suicide and self-harm in adult offenders: a systematic review. International Journal of Offender Therapy and Comparative Criminology 54:803–828, 2010
42.
Solomon AL, Osborne J, Winterfield L, et al.: Putting Public Safety First: 13 Parole Supervision Strategies to Enhance Reentry Outcomes. Washington, DC, Urban Institute, 2008
43.
Seiter RP, West AD: Supervision styles in probation and parole. Journal of Offender Rehabilitation 38:57–75, 2003
44.
West AD, Seiter RP: Social worker or cop? Measuring the supervision styles of probation and parole officers in Kentucky and Missouri. Journal of Criminal Justice 27:27–57, 2004

Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services

Cover: Young Girl Playing, by Jessie Willcox Smith, 1902. Watercolor and charcoal on board. © Copyright 2014 National Museum of American Illustration™, Newport, Rhode Island. Photo courtesy of Archives of the American Illustrators Gallery™, New York.

Psychiatric Services
Pages: 381 - 386
PubMed: 24292637

History

Published in print: March 2014
Published online: 15 October 2014

Authors

Details

Sung-Suk Violet Yu, Ph.D.
Dr. Yu, Dr. Sung, and Dr. Mellow are with the Department of Criminal Justice, John Jay College of Criminal Justice, New York City (e-mail: [email protected]). Dr. Shlosberg is with the Department of Social Sciences and History, Fairleigh Dickinson University, Madison, New Jersey.
Hung-En Sung, Ph.D.
Dr. Yu, Dr. Sung, and Dr. Mellow are with the Department of Criminal Justice, John Jay College of Criminal Justice, New York City (e-mail: [email protected]). Dr. Shlosberg is with the Department of Social Sciences and History, Fairleigh Dickinson University, Madison, New Jersey.
Jeff Mellow, Ph.D.
Dr. Yu, Dr. Sung, and Dr. Mellow are with the Department of Criminal Justice, John Jay College of Criminal Justice, New York City (e-mail: [email protected]). Dr. Shlosberg is with the Department of Social Sciences and History, Fairleigh Dickinson University, Madison, New Jersey.
Amy Shlosberg, Ph.D.
Dr. Yu, Dr. Sung, and Dr. Mellow are with the Department of Criminal Justice, John Jay College of Criminal Justice, New York City (e-mail: [email protected]). Dr. Shlosberg is with the Department of Social Sciences and History, Fairleigh Dickinson University, Madison, New Jersey.

Metrics & Citations

Metrics

Citations

Export Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

For more information or tips please see 'Downloading to a citation manager' in the Help menu.

Format
Citation style
Style
Copy to clipboard

View Options

View options

PDF/EPUB

View PDF/EPUB

Login options

Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.

Personal login Institutional Login Open Athens login
Purchase Options

Purchase this article to access the full text.

PPV Articles - Psychiatric Services

PPV Articles - Psychiatric Services

Not a subscriber?

Subscribe Now / Learn More

PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.

Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).

Media

Figures

Other

Tables

Share

Share

Share article link

Share