Skip to main content
Full access
Articles
Published Online: 14 May 2019

Disparities in Access to Mental Health Services Among Patients Hospitalized for Deliberate Drug Overdose

Abstract

Objective:

The authors examined patient and hospitalization characteristics associated with receiving a mental health assessment and disposition to an inpatient psychiatric facility among patients hospitalized for deliberate drug overdose.

Methods:

This retrospective analysis of 2012–2013 South Carolina all-payer data included adults ages 18–64 with at least one inpatient admission for a primary diagnosis of deliberate illicit or pharmaceutical drug overdose (N=2,686). Outcomes were receipt of a mental health assessment and disposition to an inpatient psychiatric facility. Multivariable logistic regression models were used to estimate the effects of patient and hospitalization characteristics on study outcomes.

Results:

Non-Hispanic blacks and people of other races-ethnicities were less likely than non-Hispanic whites to receive a mental health assessment (non-Hispanic blacks, adjusted odds ratio [AOR]=0.52, 95% CI=0.34–0.81; other races-ethnicities, AOR=0.24, 95% CI=0.12–0.49). Non-Hispanic blacks were also less likely than non-Hispanic whites to be discharged to an inpatient psychiatric facility than to home (AOR=0.60, 95% CI=0.47–0.77). Compared with persons without insurance, those with insurance, except those with Medicaid, were more likely to be discharged to an inpatient psychiatric facility than to home (Medicare, AOR=3.06, 95% CI=2.36–3.96; private, AOR=2.78, 95% CI=2.23–3.47; other, AOR=7.58, 95% CI=4.21–13.6).

Conclusions:

Non-Hispanic white race-ethnicity and having insurance were predictive of receipt of a mental health assessment and disposition to an inpatient psychiatric facility among patients hospitalized for deliberate drug overdose. Study findings can inform clinical strategies and interventions aimed at reducing mental health care disparities among populations who are vulnerable to overdose or suicide.

HIGHLIGHTS

Non-Hispanic blacks and people of other races-ethnicities were less likely than non-Hispanic whites to receive a mental health assessment during hospitalization for a deliberate drug overdose.
Non-Hispanic blacks were less likely than non-Hispanic whites to be discharged to an inpatient psychiatric facility than to home after hospitalization for a deliberate drug overdose.
Persons with Medicare, private, or other insurance were more likely than persons without insurance to be discharged to an inpatient psychiatric facility than to home after hospitalization for deliberate drug overdose.
Over the past two decades, suicide rates have risen steadily across the United States. From 1999 to 2017, the average annual percentage increase in the national suicide rate was between 1% and 2% (1). Over the same period, there was a corresponding rise in overdoses resulting from prescription and illicit opioid abuse. More than 700,000 people have died from a drug overdose, and nearly 400,000 have died from an opioid-involved overdose, since the start of the opioid crisis (2).
Deliberate, or suicide, overdoses have accounted for far fewer U.S. deaths than accidental overdoses. Between 2005 and 2016, the rate of suicide from deliberate overdose ranged from 1.80 to 1.93 per 100,000 people, whereas the mortality rate from accidental overdoses ranged from 9.61 to 21.73 per 100,000 people (3). However, the actual proportion of suicides among U.S. overdose deaths has possibly been underestimated, given that many overdose suicides are misclassified as undetermined or accidental deaths (4). A recent report suggested that 20%−30% or more of opioid overdose deaths may be suicides (5).
Emergency departments (EDs) are at the forefront of managing and treating people affected by overdose and suicide. By providing urgent treatment, evaluating patients for suicide risk, and linking patients with postdischarge treatment and support services, EDs are important settings for suicide prevention. This is especially true for patients admitted for deliberate self-harm because they are at high risk for repeat attempts and eventual suicide (6). Because suicide risk is elevated after discharge from EDs and inpatient hospital settings (7, 8), the Joint Commission has recommended that hospitals integrate suicide prevention and treatment strategies, such as mental health assessments, discharge planning, and follow-up contacts, into all care settings (9).
Previous studies have documented racial-ethnic and insurance status differences in receipt of mental health services among patients admitted to the ED for deliberate self-harm. A 2012 study reported that Hispanics were less likely than whites to receive an emergency mental health assessment and that Hispanics and African Americans were less likely than whites to receive follow-up outpatient care in the 30 days after discharge (10). A similar study reported that privately insured patients were more likely than Medicaid-insured patients to receive a mental health assessment (11). We are unaware of any studies conducted in an inpatient setting that have evaluated hospital-based mental health services received by patients after admission for deliberate self-harm. Given that sociodemographic factors should not affect access to mental health care, more research is needed to understand which factors may influence receipt of inpatient mental health services by patients who deliberately harm themselves.
In this study, we examined patient and hospitalization characteristics associated with receiving a mental health assessment and disposition to an inpatient psychiatric facility among patients hospitalized for deliberate drug overdose. Our primary objective was to assess potential differences in receipt of inpatient mental health services on the basis of race-ethnicity and insurance status. Deliberate drug overdose is the most common method of self-harm in the United States (12) and a strong predictor of future completed suicide (1315). Therefore, it is important that all patients hospitalized for a deliberate drug overdose have access to inpatient mental health services as needed. To eliminate potential disparities in care, a better understanding of the effects of race-ethnicity and insurance status on access to such services is required. We hypothesized that non-Hispanic white race-ethnicity and having insurance would be predictive of receiving a mental health assessment and disposition to an inpatient psychiatric facility.

Methods

Data Source

We used 2012–2013 data from the South Carolina All-Payer Healthcare Databases, which have been used in previous studies to examine health care utilization patterns (1618). These databases capture all ED, inpatient, outpatient surgery, and health clinic visits to licensed, nonfederal health care facilities in South Carolina. Data elements include encounter-level demographic, clinical, and nonclinical information and a unique patient identifier that allows patients to be tracked over time and across various care settings. Internal audits of the databases are routinely performed to ensure that data elements are 99% complete and 99.5% accurate, as required by law (19). The all-payer databases used in this study are exempt from review by the Clemson University institutional review board.

Analytic Sample

To obtain the analytic sample, we used inpatient database records to identify hospitalizations for deliberate drug overdose and linked to ED records to obtain data on recent mental health services. Adults ages 18–64 who had at least one inpatient admission for deliberate illicit or pharmaceutical drug overdose were followed from 60 days before hospitalization through discharge. We included drug overdoses if the primary diagnosis field of each record contained an ICD-9-CM diagnosis code for “poisonings by drugs, medicinal or biological substances” (960–979) (20). Overdoses were classified as deliberate if the supplementary classification of external causes of injury and poisoning code (E-code) indicated suicide and self-inflicted poisoning (E950.0–E950.5). Patients who left against medical advice (N=60) or died in the hospital (N=24) were excluded from the study. Because of our interest in assessing inpatient mental health services, we further excluded patients discharged to correctional (N=53) or post–acute care facilities (N=126). Finally, we excluded encounters in January and February 2012 (N=277), given that assessment of receipt of 60-day prior mental health services for these patients was not possible.

Outcomes

Study outcomes included receipt of a mental health assessment and disposition to an inpatient psychiatric facility. We defined the first outcome, mental health assessment, using a general approach by Olfson et al. (10): presence of a psychiatric diagnosis (ICD-9-CM diagnosis codes 290–319) in any secondary diagnosis field; evidence of psychological or psychiatric interviews, consultations, evaluations, or testing on the basis of ICD-9-CM procedure codes in primary or secondary procedure fields (94.0–94.19); or indication of a visit from a psychiatrist before hospital discharge (10, 20). We defined the second outcome, disposition to inpatient psychiatric facility, as disposition to home or disposition to an inpatient psychiatric facility.

Independent Variables

Independent variables were patient and hospitalization characteristics. Patient characteristics included age in years (18–24, 25–34, 35–44, 45–54, and 55–64), sex, race-ethnicity (non-Hispanic white, non-Hispanic black, and other), and primary insurance payer (uninsured, Medicare, Medicaid, private, and other payer). Hospitalization characteristics included drug ingested before admission, length of stay, and admission or discharge day of week (weekend versus weekday). Drug ingested before admission was categorized into opioids or sedative-hypnotics (ICD-9-CM diagnosis codes 965.00–965.09, 967, 969.4); drugs with high abuse or misuse liability, including central nervous system stimulants, psychotropic agents, and other central nervous system depressants (968, 969.0–969.3, 969.5–969.9, 970); and other drugs, medicinals, or biologicals (960–964, 965.1–965.9, 966, 971–979). We categorized opioids and sedative-hypnotics together because opioids and benzodiazepines increase risk of respiratory depression, and concomitant use is associated with high risk of overdose death (21).

Mental Health Services

To account for the potential confounding effects of receipt of recent mental health services on study outcomes, we examined deliberate drug overdoses, psychiatric hospitalizations, and treatment for mental disorders in the 60 days before hospitalization. Deliberate drug overdoses were defined by using the criteria described earlier. Psychiatric hospitalizations were defined as disposition to an inpatient psychiatric facility. Treatment for mental disorder included any encounter with an ICD-9-CM diagnosis code (290–319) in the primary or a secondary diagnosis field. Mental disorders were categorized as schizophrenia and other psychoses (295, 297–298), bipolar disorder (296.00–296.16, 296.40–296.89), depressive disorders (296.20–296.36, 300.4, 311), anxiety disorder (293.84, 300.0, 300.2, 300.3, 308.3, 309.21, 309.81), personality disorder (301), alcohol and drug use disorders (291–292, 303–305), adjustment disorder (309.0, 309.1, 309.22–309.4, 309.82–309.9), and other disorders (defined as any codes between 290 and 319 not listed earlier).

Statistical Analysis

We report descriptive statistics of the sample, stratified by disposition. In bivariable analysis, we compared differences in disposition across characteristics and mental health services variables using chi-square and Mann-Whitney U tests. Generalized linear models with a binomial distribution and logit link were used to examine the relationship between patient and hospitalization characteristics and receipt of mental health assessment and disposition to an inpatient psychiatric facility. Models were adjusted for independent variables, recent mental health services, and hospital fixed effects, which accounted for hospital differences, such as hospital type and region, known to influence disposition to an inpatient psychiatric facility (22).
For the second study outcome, we further adjusted the model for presence of a psychiatric diagnosis during hospitalization. Patients could contribute more than one hospitalization for deliberate drug overdose to the sample. Therefore, we obtained adjusted odds ratios (AORs) and 95% confidence intervals (CIs) by using generalized estimating equations to account for clustering due to repeated admissions of the same patient. In sensitivity analyses, we examined whether factors associated with receiving a mental health assessment and disposition to an inpatient psychiatric facility were modified when including only one deliberate drug overdose admission per patient. Statistical analyses were performed using SAS version 9.4. Statistical tests were two-sided with p<.05 indicating statistical significance.

Results

From 2012 to 2013, 2,489 unique patients had 2,686 encounters for deliberate drug overdose in South Carolina. The largest proportion of deliberate drug overdoses were those categorized as other drugs or medicinal or biological substances (N=1,078; 40%), such as anticonvulsants, antibiotics, and antiallergic and antiemetic drugs, followed by opioids or sedative-hypnotics (N=987; 37%), and then drugs with high abuse or misuse liability (N=621; 23%). Most persons in the sample were non-Hispanic white (N=2,250; 84%) and had insurance (N=1,715; 64%). Approximately half the sample was discharged to home (51%); the other half was discharged to an inpatient psychiatric facility (49%; Table 1). A lower percentage of non-Hispanic whites than non-Hispanic blacks and people of other races-ethnicities were discharged to home (48% versus 61% and 52%, respectively). Persons without insurance were more likely than persons with insurance to be discharged home (63% versus 38% with Medicare, 57% with Medicaid, 39% privately insured, and 24% with other insurance). Notably, patients with Medicaid were more likely to be discharged home than patients with other types of insurance.
TABLE 1. Characteristics of patients hospitalized for deliberate drug overdose, by disposition, in South Carolina in 2012–2013 (N=2,686 encounters)
 Disposition 
 Home (N=1,359)Inpatient psychiatric facility (N=1,327) 
CharacteristicN%aN%apb
Patient     
 Age (years)    <.05
  18–2418848.220251.8 
  25–3429955.324244.7 
  35–4433948.534650.5 
  45–5435452.032748.0 
  55–6417946.021054.0 
 Sex    .13
  Female86249.587950.5 
  Male49752.644847.4 
 Race    <.001
  Non-Hispanic white1,09848.81,15251.2 
  Non-Hispanic black22661.314338.8 
  Other race3552.23247.8 
 Insurance payer    <.001
  Uninsured61663.435536.6 
  Medicare18738.430061.6 
  Medicaid29157.221842.8 
  Private24538.539261.5 
  Other payer2024.46275.6 
Hospitalization     
 Drug type    .48
  Opioids or sedative-hypnotics50050.748749.3 
  High abuse and misuse liability drugsc30248.631951.4 
  Other drugs, medicinals, or biologicals55751.752148.3 
 Length of stay (days) (median±IQR)d3.00±4.00 2.00±3.00 <.001
 Weekend admission41953.236846.8.08
 Weekend discharge21348.722451.3.40
Hospital     
 Hospital urban-rural status    .23
  Urban96049.996550.1 
  Rural39952.436247.6 
Mental health servicese     
 Deliberate drug overdose8052.37347.7.67
 Psychiatric hospitalization4641.86458.2.06
 Mental disorder     
  Schizophrenia and other psychoses1122.93777.1<.001
  Bipolar6222.022078.0<.001
  Depressive11221.341378.7<.001
  Anxiety9224.328675.7<.001
  Personality3418.814781.2<.001
  Alcohol and drug use11922.341577.7<.001
  Adjustment2520.39879.7<.001
  Other1514.68885.4<.001
 Mental health assessment1,28650.81,24849.3.51
a
Row percentage.
b
Obtained by using chi-square tests for categorical variables and Mann-Whitney U tests for continuous variables. p values significant at p<.05.
c
These drugs include central nervous system (CNS) stimulants, psychotropic agents, and other CNS depressants and anesthetics.
d
IQR, interquartile range.
e
Receipt of recent mental health services was assessed in emergency department and inpatient databases during the 60 days before hospitalization.
Approximately 94% (N=2,514) of patients received a mental health assessment during hospitalization. Non-Hispanic blacks and people of other races-ethnicities had lower odds than non-Hispanic whites of receiving a mental health assessment (non-Hispanic blacks, AOR=0.52; other races, AOR=0.24; Table 2). Patients hospitalized for overdose from drugs with high abuse or misuse liability had higher odds of receiving a mental health assessment than patients admitted for overdose from opioids or sedative-hypnotics (AOR=1.69). Results were similar in sensitivity analyses that included one admission per patient (a table comparing AORs from the main analyses and sensitivity analyses is available as an online supplement to this article).
TABLE 2. Likelihood of receiving a mental health assessment among patients hospitalized for deliberate drug overdose (N=2,686 encounters)a
CharacteristicAOR95% CI
Patient  
 Age (years) (reference: 18–24)  
  25–34.91.51–1.60
  35–441.06.60–1.85
  45–541.08.62–1.89
  55–64.75.41–1.39
 Female (reference: male)1.07.75–1.54
 Race (reference: non-Hispanic white)  
  Non-Hispanic black.52**.34–.81
  Other race.24***.12–.49
 Insurance payer (reference: uninsured)  
  Medicare.97.58–1.62
  Medicaid1.37.82–2.32
  Private.80.52–1.25
  Other payer.62.24–1.59
Hospitalization  
 Drug ingested (reference: opioids or sedative-hypnotics)  
  Drugs with high abuse or misuse liabilityb1.69*1.03–2.78
  Other drugs, medicinals, or biologicals1.07.74–1.55
 Length of stay1.03.98–1.07
 Weekend admission (reference: weekday admission).97.67–1.38
a
Model adjusted for patient and hospitalization characteristics, recent mental health services, and hospital fixed effects.
b
These drugs include central nervous system (CNS) stimulants, psychotropic agents, and other CNS depressants and anesthetics.
*
p<.05, **p<.01, ***p<.001.
Table 3 presents AORs of the association between patient and hospitalization characteristics and disposition to an inpatient psychiatric facility. Compared with persons ages 18–24 years, those ages 45–54 years were less likely to be discharged to an inpatient psychiatric facility (AOR=0.66). Non-Hispanic blacks had lower odds of disposition to an inpatient psychiatric facility than non-Hispanic whites (AOR=0.60). Insured patients, except those covered by Medicaid, had increased odds of disposition to an inpatient psychiatric facility compared with patients without insurance (Medicare, AOR=3.06; private, AOR=2.78; other, AOR=7.58). In addition, longer length of stay was associated with lower odds of disposition to an inpatient psychiatric facility than to home (AOR=0.97). Results were similar in sensitivity analyses that included one admission per patient (see online supplement).
TABLE 3. Likelihood of discharge to an inpatient psychiatric facility versus to home among patients hospitalized for deliberate drug overdose (N=2,686 encounters)a
CharacteristicAOR95% CI
Patient  
 Age (years) (reference: 18–24)  
  25–34.80.61–1.09
  35–44.87.66–1.14
  45–54.66**.51–.90
  55–64.75.54–1.07
 Female (reference: male)1.10.92–1.31
 Race (reference: non-Hispanic white)  
  Non-Hispanic black.60***.47–.77
  Other race1.07.66–1.73
 Insurance payer (reference: uninsured)  
  Medicare3.06***2.36–3.96
  Medicaid1.02.80–1.29
  Private2.78***2.23–3.47
  Other payer7.58***4.21–13.6
Hospitalization  
 Drug ingested (reference: opioids or sedative-hypnotics)  
  Drugs with high abuse or misuse liabilityb1.19.95–1.50
  Other drugs, medicinals, or biologicals1.07.87–1.30
 Length of stay.97**.95–.99
 Weekend discharge (reference: weekday discharge)1.07.85–1.35
a
Model adjusted for patient and hospitalization characteristics, recent mental health services, psychiatric diagnosis, and hospital fixed effects.
b
These drugs include central nervous system (CNS) stimulants, psychotropic agents, and other CNS depressants and anesthetics.
**
p<.01, ***p<.001.

Discussion

Most patients admitted to the hospital for a deliberate drug overdose received a mental health assessment (94%). This assessment rate was higher than the mental health assessment rates of around 50%–70% reported in studies of patients admitted to the ED for self-harm (10, 23). We did not find other studies reporting rates of mental health assessments among patients hospitalized for deliberate drug overdose. Nearly half of the sample were discharged to an inpatient psychiatric facility, and the other half were discharged to home. A higher percentage of patients who received recent mental health services compared with those who did not were discharged to an inpatient psychiatric facility. It is important to note that disposition to an inpatient psychiatric facility does not indicate better quality of care, nor does it reduce the risk of future suicide. Individuals are at high risk of suicide in the period immediately after discharge from an inpatient psychiatric facility and for many years after (7). Nevertheless, inpatient psychiatric facilities offer a safe, controlled environment for patients in need of stabilization from an acute mental health crisis, and they play a central role in the United States for treating patients at risk of suicide (8).
Of all the characteristics examined, race-ethnicity had the strongest magnitude of association with receiving a mental health assessment and disposition to an inpatient psychiatric facility. Both non-Hispanic blacks and people of other racial-ethnic groups were less likely than non-Hispanic whites to receive a mental health assessment. Only non-Hispanic blacks were less likely than non-Hispanic whites to be discharged to an inpatient psychiatric facility. It is unclear whether the disparities we observed are due to implicit provider bias, cultural differences in patient preferences for care, socioeconomic differences between groups, or other clinically relevant factors. Research conducted in ED settings has found that psychiatric admission decisions vary across institutions (2426) and may be influenced by predominantly clinical factors (27, 28) or both clinical and nonclinical factors (29, 30). A recent study with ED clinicians reported that clinical severity and social factors, such as homelessness or patient unwillingness to engage with outpatient services, influenced disposition planning to an inpatient psychiatric facility among patients boarding in the ED for suicide risk (29).
Our findings support well-documented evidence that racial-ethnic disparities in mental health care exist the United States (31, 32). African Americans and Latinos have either lower or equivalent rates of mental disorders than whites but are less likely to receive needed mental health services, treatment, or medications (32). Past research has documented that blacks are overrepresented in inpatient psychiatric units (33). The results of our study contradict this evidence. In the southern United States, disparities in access to mental health services and treatments have persisted over time for African Americans (34, 35), which could explain this discrepancy. It could also explain why our results differed from those reported by Olfson and colleagues (10). That study found differences between Hispanics and whites, but not between African Americans and whites, in the likelihood of receiving an emergency mental health assessment (10). Because our data contained a small sample of Latinos, we were unable to examine differences in the outcomes specifically for that group. Further studies with larger sample sizes are needed for such an investigation.
Patients with Medicare, private, or other insurance were more likely than patients without insurance to be discharged to an inpatient psychiatric facility. This result was expected, given that shortages of inpatient psychiatric beds, coupled with the high cost of acute psychiatric hospitalization, have made it difficult even for insured persons to access inpatient mental health services (36, 37). Follow-up contacts are one strategy for reducing suicide risk. A review of 11 studies conducted in ED and inpatient settings reported that postdischarge follow-up contacts may protect against suicidal behaviors (38). Three of the reviewed studies found that postcard contacts were associated with a significant reduction in repeat deliberate drug overdose at 12 months (3941). Follow-up contacts are less expensive than inpatient psychiatric care and may be used to improve access to treatment for patients who lack health coverage.
Patients ages 45–54 years were less likely to be discharged to an inpatient psychiatric facility than those ages 18–24 years. This is consistent with evidence that younger age is predictive of psychiatric hospitalization (42). Although national suicide rates are highest among middle-aged adults (1), young people have a high prevalence of suicide risk factors, such as risk-taking behaviors (43) and mental disorders (44). They are also at higher risk than older adults for nonsuicidal self-harm (45), which is among the strongest predictors of future suicide attempts (46). Any of these factors may influence disposition planning to an inpatient psychiatric facility for young adults and could account for the observed differences in disposition across age groups.
Our data show that patients hospitalized for an overdose of a drug with high abuse or misuse liability were more likely to receive a mental health assessment than those admitted for an overdose from opioids or sedative-hypnotics. Respiratory depression is the main feature of overdoses from opioids or a combination of opioids and sedative-hypnotics. Patients who overdose on these drugs generally do not present with psychological symptoms. In contrast, patients who overdose on drugs with high abuse or misuse liability, such as cocaine or methamphetamine, often exhibit altered mental status, such as agitation or acute psychosis (47, 48). The differences in clinical features of patients by the drug or drugs ingested before hospitalization might explain our finding. In light of connections between opioid use and suicide (49), all patients admitted to the hospital for an overdose involving opioids or sedative-hypnotics should receive a mental health assessment.
There are several limitations of this analysis. First, we could not determine whether deliberate drug overdoses were completed with the intention to attempt suicide, nonsuicidal self-harm, or neither. Second, all-payer data are limited and contain no information about certain clinical or nonclinical factors, such as clinical severity or patient preference for treatment location, that may influence study outcomes. Third, although administrative databases can be used with a strong degree of accuracy to reliably identify drugs involved in overdoses (5052), clinical staff are subject to misclassifying drugs when comprehensive drug screening is not available (53). Fourth, by selecting the study sample solely on the basis of primary diagnosis field, we may have underestimated cases of drug overdose. Moreover, we used E-codes to determine intentionality of overdose, which may have resulted in further underestimation of deliberate drug overdoses as a result of varying rates of E-code completeness across all-payer claims databases (54). At the same time, our approach, coupled with all-payer data, strengthened the validity of our findings. Fifth, by excluding dispositions other than to home or an inpatient psychiatric facility, we may have missed patients who received a mental health assessment before hospital discharge. Finally, consistent with previous studies, we measured recent mental health services by using a 60-day review period (10, 11). Yet, we acknowledge the limitation that longer-term mental health and medical history could influence study outcomes.

Conclusions

Drug overdoses and suicides have taken a toll on the nation’s health, causing mortality rates to increase and life expectancy to decline. Federal efforts to address these epidemics have included expanding access to mental health screening and treatment services for affected persons. Despite these efforts, racial-ethnic and insurance status disparities in access to inpatient mental health services persist in South Carolina for patients admitted to the hospital for deliberate drug overdose. These findings may be useful to inform clinical strategies and interventions or broader initiatives aimed at reducing treatment disparities in populations who are vulnerable to overdose or suicide.

Footnote

An earlier version of this analysis was presented at the Academy Health 2018 annual research meeting, June 24–26, Seattle.

Supplementary Material

File (appi.ps.201800496.ds001.pdf)

References

1.
Hedegaard H, Curtin SC, Warner M: Suicide Mortality in the United States, 1999–2017. NCHS Data Brief no 330. Hyattsville, MD, National Center for Health Statistics, 2018
2.
Understanding the Epidemic. Atlanta, Centers for Disease Control and Prevention. https://www.cdc.gov/drugoverdose/epidemic/index.html. Accessed Jan 23, 2019
3.
Hempstead K, Phillips J: Divergence in recent trends in deaths from intentional and unintentional poisoning. Health Aff (Millwood) 2019; 38:29–35
4.
Rockett IRH, Caine ED, Stack S, et al: Method overtness, forensic autopsy, and the evidentiary suicide note: a multilevel National Violent Death Reporting System analysis. PLoS One 2018; 13:e0197805
5.
Oquendo MA, Volkow ND: Suicide: a silent contributor to opioid-overdose deaths. N Engl J Med 2018; 378:1567–1569
6.
Owens D, Horrocks J, House A: Fatal and non-fatal repetition of self-harm. Systematic review. Br J Psychiatry 2002; 181:193–199
7.
Chung DT, Ryan CJ, Hadzi-Pavlovic D, et al: Suicide rates after discharge from psychiatric facilities: a systematic review and meta-analysis. JAMA Psychiatry 2017; 74:694–702
8.
Knesper DJ: Continuity of Care for Suicide Prevention and Research: Suicide Attempts and Suicide Deaths Subsequent to Discharge From an Emergency Department or an Inpatient Psychiatry Unit. Newton, MA, Education Development Center, 2010
9.
Sentinel Event Alert 56: Detecting and Treating Suicide Ideation in All Settings. Oakbrook Terrace, IL, Joint Commission, 2016
10.
Olfson M, Marcus SC, Bridge JA: Emergency treatment of deliberate self-harm. Arch Gen Psychiatry 2012; 69:80–88
11.
Marcus SC, Bridge JA, Olfson M: Payment source and emergency management of deliberate self-harm. Am J Public Health 2012; 102:1145–1153
12.
Nonfatal Injury Data. Atlanta, Centers for Disease Control and Prevention, 2018. www.cdc.gov/injury/wisqars/nonfatal.html. Accessed August 16, 2018
13.
Finkelstein Y, Macdonald EM, Hollands S, et al: Risk of suicide following deliberate self-poisoning. JAMA Psychiatry 2015; 72:570–575
14.
Carter G, Reith DM, Whyte IM, et al: Repeated self-poisoning: increasing severity of self-harm as a predictor of subsequent suicide. Br J Psychiatry 2005; 186:253–257
15.
Owens D, Wood C, Greenwood DC, et al: Mortality and suicide after non-fatal self-poisoning: 16-year outcome study. Br J Psychiatry 2005; 187:470–475
16.
Shi L, Truong K, Summey J, et al: Liquor store density and acute pancreatitis hospitalization. J Subst Use 2017; 22:337–342
17.
Shi L, Zhang D, Chen L, et al: “Weekend effect” or “Saturday effect”? An analysis of hospital mortality for patients with ischemic stroke in South Carolina. Circulation 2016; 134:1510–1512
18.
Tasian GE, Ross ME, Song L, et al: Annual incidence of nephrolithiasis among children and adults in South Carolina from 1997 to 2012. Clin J Am Soc Nephrol 2016; 11:488–496
19.
Principles and Protocol for the Release of Health Care Data. Columbia, South Carolina Data Oversight Council, 2014. http://rfa.sc.gov/healthcare/dataoversight. Accessed Oct 4, 2018
20.
International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). Hyattsville, MD, National Center for Health Statistics, 1991
21.
Sun EC, Dixit A, Humphreys K, et al: Association between concurrent use of prescription opioids and benzodiazepines and overdose: retrospective analysis. BMJ 2017; 356:j760
22.
Levine LJ, Schwarz DF, Argon J, et al: Discharge disposition of adolescents admitted to medical hospitals after attempting suicide. Arch Pediatr Adolesc Med 2005; 159:860–866
23.
Hawton K, Bergen H, Casey D, et al: Self-harm in England: a tale of three cities. Multicentre study of self-harm. Soc Psychiatry Psychiatr Epidemiol 2007; 42:513–521
24.
Suominen K, Lönnqvist J: Determinants of psychiatric hospitalization after attempted suicide. Gen Hosp Psychiatry 2006; 28:424–430
25.
Kapur N, House A, Creed F, et al: Management of deliberate self poisoning in adults in four teaching hospitals: descriptive study. BMJ 1998; 316:831–832
26.
Baca-García E, Diaz-Sastre C, Resa EG, et al: Variables associated with hospitalization decisions by emergency psychiatrists after a patient’s suicide attempt. Psychiatr Serv 2004; 55:792–797
27.
Rabinowitz J, Massad A, Fennig S: Factors influencing disposition decisions for patients seen in a psychiatric emergency service. Psychiatr Serv 1995; 46:712–718
28.
Ziegenbein M, Anreis C, Brüggen B, et al: Possible criteria for inpatient psychiatric admissions: which patients are transferred from emergency services to inpatient psychiatric treatment? BMC Health Serv Res 2006; 6:150
29.
Kroll DS, Karno J, Mullen B, et al: Clinical severity alone does not determine disposition decisions for patients in the emergency department with suicide risk. Psychosomatics 2018; 59:388–393
30.
Lidz CW, Coontz PD, Mulvey EP: The “pass-through” model of psychiatric emergency room assessment. Int J Law Psychiatry 2000; 23:43–51
31.
Cook BL, McGuire T, Miranda J: Measuring trends in mental health care disparities, 2000–2004. Psychiatr Serv 2007; 58:1533–1540
32.
McGuire TG, Miranda J: New evidence regarding racial and ethnic disparities in mental health: policy implications. Health Aff (Millwood) 2008; 27:393–403
33.
Snowden LR, Hastings JF, Alvidrez J: Overrepresentation of black Americans in psychiatric inpatient care. Psychiatr Serv 2009; 60:779–785
34.
Cook BL, Kim G, Morgan KL, et al: Measuring geographic “hot spots” of racial/ethnic disparities: an application to mental health care. J Health Care Poor Underserved 2016; 27:663–684
35.
Kim G, Parton JM, DeCoster J, et al: Regional variation of racial disparities in mental health service use among older adults. Gerontologist 2013; 53:618–626
36.
Bastiampillai T, Sharfstein SS, Allison S: Increase in US suicide rates and the critical decline in psychiatric beds. JAMA 2016; 316:2591–2592
37.
Rowan K, McAlpine DD, Blewett LA: Access and cost barriers to mental health care, by insurance status, 1999–2010. Health Aff 2013; 32:1723–1730
38.
Luxton DD, June JD, Comtois KA: Can postdischarge follow-up contacts prevent suicide and suicidal behavior? A review of the evidence. Crisis 2013; 34:32–41
39.
Carter GL, Clover K, Whyte IM, et al: Postcards from the EDge project: randomised controlled trial of an intervention using postcards to reduce repetition of hospital treated deliberate self poisoning. BMJ 2005; 331:805
40.
Carter GL, Clover K, Whyte IM, et al: Postcards from the EDge: 24-month outcomes of a randomised controlled trial for hospital-treated self-poisoning. Br J Psychiatry 2007; 191:548–553
41.
Hassanian-Moghaddam H, Sarjami S, Kolahi AA, et al: Postcards in Persia: randomised controlled trial to reduce suicidal behaviours 12 months after hospital-treated self-poisoning. Br J Psychiatry 2011; 198:309–316
42.
Donisi V, Tedeschi F, Wahlbeck K, et al: Pre-discharge factors predicting readmissions of psychiatric patients: a systematic review of the literature. BMC Psychiatry 2016; 16:449
43.
Gardner M, Steinberg L: Peer influence on risk taking, risk preference, and risky decision making in adolescence and adulthood: an experimental study. Dev Psychol 2005; 41:625–635
44.
Ahrnsbrak R, Bose J, Hedden SL, et al: Key Substance Use and Mental Health Indicators in the United States: Results From the 2016 National Survey on Drug Use and Health. Rockville, MD, Substance Abuse and Mental Health Services Administration, Center for Behavioral Health Statistics and Quality, 2017
45.
Moran P, Coffey C, Romaniuk H, et al: The natural history of self-harm from adolescence to young adulthood: a population-based cohort study. Lancet 2012; 379:236–243
46.
Franklin JC, Ribeiro JD, Fox KR, et al: Risk factors for suicidal thoughts and behaviors: a meta-analysis of 50 years of research. Psychol Bull 2017; 143:187–232
47.
Cruickshank CC, Dyer KR: A review of the clinical pharmacology of methamphetamine. Addiction 2009; 104:1085–1099
48.
Derlet RW, Albertson TE: Emergency department presentation of cocaine intoxication. Ann Emerg Med 1989; 18:182–186
49.
Bohnert ASB, Ilgen MA: Understanding links among opioid use, overdose, and suicide. N Engl J Med 2019; 380:71–79
50.
Reardon JM, Harmon KJ, Schult GC, et al: Use of diagnosis codes for detection of clinically significant opioid poisoning in the emergency department: a retrospective analysis of a surveillance case definition. BMC Emerg Med 2016; 16:11
51.
Myers RP, Leung Y, Shaheen AA, et al: Validation of ICD-9-CM/ICD-10 coding algorithms for the identification of patients with acetaminophen overdose and hepatotoxicity using administrative data. BMC Health Serv Res 2007; 7:159
52.
Green CA, Perrin NA, Janoff SL, et al: Assessing the accuracy of opioid overdose and poisoning codes in diagnostic information from electronic health records, claims data, and death records. Pharmacoepidemiol Drug Saf 2017; 26:509–517
53.
Fabbri A, Marchesini G, Morselli-Labate AM, et al: Comprehensive drug screening in decision making of patients attending the emergency department for suspected drug overdose. Emerg Med J 2003; 20:25–28
54.
Patrick AR, Miller M, Barber CW, et al: Identification of hospitalizations for intentional self-harm when E-codes are incompletely recorded. Pharmacoepidemiol Drug Saf 2010; 19:1263–1275

Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services
Psychiatric Services
Pages: 758 - 764
PubMed: 31084295

History

Received: 31 October 2018
Revision received: 6 February 2019
Accepted: 22 March 2019
Published online: 14 May 2019
Published in print: September 01, 2019

Keywords

  1. Intentional overdose
  2. disparities
  3. deliberate self-harm
  4. Suicide and self-destructive behavior

Authors

Details

Elizabeth Charron, M.P.H. [email protected]
Department of Public Health Sciences, Clemson University, Clemson, South Carolina.
Ellen C. Francis, M.S.
Department of Public Health Sciences, Clemson University, Clemson, South Carolina.
Smith F. Heavner-Sullivan, M.S., R.N.
Department of Public Health Sciences, Clemson University, Clemson, South Carolina.
Khoa D. Truong, Ph.D., M.Phil.
Department of Public Health Sciences, Clemson University, Clemson, South Carolina.

Notes

Send correspondence to Ms. Charron ([email protected]).

Competing Interests

The authors report no financial relationships with commercial interests.

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