Abstract
Background
Post-traumatic stress disorder (PTSD) can be exacerbated by subsequent trauma, but it is unclear if symptoms are worsened by impending death. PTSD symptoms, including hyperarousal, negative mood and thoughts, and traumatic re-experiencing, can impact end-of-life symptoms, including pain, mood, and poor sleep. Thus, increased symptoms may lead to increased end-of-life healthcare utilization.
Objectives
To determine if veterans with PTSD have increased end-of-life healthcare utilization or medication use and to examine predictors of medication administration.
Design
Secondary analysis of a stepped-wedge design implementation trial to improve end-of-life care for Veterans Affairs (VA) inpatients. Outcome variables were collected via direct chart review. Analyses included hierarchical, generalized estimating equation models, clustered by medical center.
Subjects
Veterans, inpatient at one of six VA facilities, dying between 2005 and 2011.
Main Measures
Emergency room (ER) visits, hospitalizations, and medication administration in the last 7 days of life.
Key Results
Of 5341 veterans, 468 (8.76%) had PTSD. Of those, 21.4% (100/468) had major depression and 36.5% (171/468) had anxiety. Veterans with PTSD were younger (mean age 65.4 PTSD, 70.5 no PTSD, p < 0.0001) and had more VA hospitalizations and ER visits in the last 12 months of life (admissions: PTSD 2.8, no PTSD 2.4, p < 0.0001; ER visits: 3.2 vs 2.5, p < 0.0001). PTSD was associated with antipsychotic administration (OR 1.52, 95% CI 1.06–2.18). Major depression (333/5341, 6.2%) was associated with opioid administration (OR 1.348, 95% CI 1.129–1.609) and benzodiazepines (OR 1.489, 95% CI 1.141–1.943). Anxiety disorders (778/5341, 14.6%) were only associated with benzodiazepines (OR 1.598, 95% CI 1.194–2.138).
Conclusions
PTSD’s association with increased end-of-life healthcare utilization and increased antipsychotic administration in the final days of life suggests increased symptom burden and potential for terminal delirium in individuals with PTSD. Understanding the burden of psychiatric illness and potential risks for delirium may facilitate the end-of-life care for these patients.
Trial Registration
Electronic supplementary material
The online version of this article (10.1007/s11606-019-05538-x) contains supplementary material, which is available to authorized users.
KEY WORDS: PTSD, end of life care, utilization, mental health, veterans
INTRODUCTION
Despite its inevitability, death is often considered a poor outcome in medicine and in society. Accepting a poor prognosis and navigating the last months of life can be challenging for anyone1 and is potentially harder for individuals predisposed to depression or anxiety.2
Generally, individuals with psychiatric illness have higher healthcare utilization,3–6 lower quality of life and functional status,7–10 and worse medical outcomes10, 11 than the general population. Individuals with psychiatric illness may have difficulty coping with life stressors12 and are at risk for relapse or worsening symptoms during major life changes, such as retirement, divorce, or death.13, 14 Individuals with post-traumatic stress disorder (PTSD) may be specifically at risk for relapse or worsening symptoms as their own death approaches because PTSD requires exposure to a trauma, specifically near death or threatened death.15 Due to the traumatic encoding of memories in PTSD,16 reminders of one’s own death may consciously or unconsciously trigger reminders of prior trauma. Thus, in terminal illness, any reminders of impending death could be re-traumatizing or exacerbate the symptoms of patients with PTSD. However, the effects of PTSD on symptom burden and healthcare utilization in the last months of life have not been well studied.
Diagnostically, PTSD consists of four clusters, re-experiencing, avoidance, negative cognitions and mood, and increased arousal.15 PTSD frequently co-exists with other psychiatric illness, such as mood or substance use.17, 18 PTSD also negatively affects pain sensation and interpretation,19–21 causes poor sleep,15 and can lead to somatization.22, 23 PTSD’s course can be chronically symptomatic, resolving over time, remitting and relapsing, or with late onset.24–29 Trajectories vary depending on trauma type, treatment, and other factors.25–27, 30–32 Life stressors, such as retirement or death of loved ones, have been correlated with PTSD relapse or worsening symptoms.32–36 Specifically, the theory of later-adulthood trauma re-engagement describes later-life worsening of PTSD symptoms as a part of life reminiscence, which is triggered by common older life events, such as physical or cognitive decline, role transitions, or deaths of loved ones.37, 38 However, it is unclear how often PTSD symptoms occur or if they impact medical care in the final months and days of life, as death nears.
United States (US) PTSD prevalence rates are 3.5% current and 6.8% lifetime, but as low as 2.5% in the older population.39–42 Studies have quoted increased PTSD rates in various life-threatening medical conditions: 2.3–18% in cancer,43–45 30–54% in human immunodeficiency virus (HIV),46, 47 and in 3.7–59% of patients admitted to the intensive care unit (ICU).48–50 These rates vary, as different tools and time periods were used to diagnose PTSD. The gold standard for PTSD diagnosis is a structured clinical interview, and symptoms must persist for at least one month.15 PTSD rates are lower when using these criteria.45, 48
PTSD is often studied within Veterans Affairs (VA), due to combat trauma exposure. VA is also the largest national healthcare system to routinely screen all patients for PTSD.51 Outside of VA, PTSD screening varies and is often under-diagnosed.52–54 Therefore, to test our hypothesis that PTSD symptoms worsen at the end of life, manifested by increased healthcare utilization or increased medication use, we sought to study PTSD in VA. We conducted an exploratory, secondary analysis of data describing end-of-life care received by veterans, dying in VA medical centers from the Best Practices for End-of-Life Care for Our Nation’s Veterans (BEACON) trial.55
METHODS
Description of the Primary Study
The BEACON study has been previously described.55 It was a multisite, stepped-wedge implementation trial of a multicomponent intervention to improve the quality of end-of-life care in VA medical centers, including ensuring that routinely prescribed medications and comfort-focused practices were ordered for dying inpatients via implementation of a Comfort Care Order Set. Additional details in online Appendix 1 (online).
BEACON Data Collection
A standardized chart abstraction tool was used to record the primary terminal diagnosis of each veteran and the end-of-life care process outcomes in the last 7 days of life, including administration of opioids, benzodiazepines, or antipsychotics; presence of an intravenous line or nasogastric tube at the time of death; location of death; and record of an advanced directive or a do not resuscitate (DNR) order. Inter-rater reliabilities were established between the chart abstractor and the Director of Palliative Care at the coordinating center.
Demographic data, including race, and medical and psychiatric comorbidities were obtained from the VA National Data Sets in Austin, Texas. The first 15 comorbidities indicated by International Statistical Classification of Diseases, 9th edition (ICD-9) code in each veterans’ electronic medical record problem list were included.
Secondary Analysis
Chi-square was used to compare categorical values and Student’s t test to compare continuous values between participants with and without PTSD. A Bonferroni correction was used to account for the multiple comparisons, yielding α = 0.05/32 = 0.0016 for the p value for these comparisons only.
Primary outcomes were VA emergency room (ER) visits, admissions, and administration of each medication class (opioids, benzodiazepines, antipsychotics, and all three classes together). Models used generalized estimating equations (GEE) to account for the clustering of patients within sites56 and were adjusted to account for the small number of clusters.57–60 Poisson and logistic models were used for count (ER visits and VA admissions) and binary (administration of medication) data, respectively. Predictors were added hierarchically to examine potential moderating effects of each group of predictors. These predictors were (1) PTSD alone; (2) demographics (year of death, race, age, gender, intervention arm); (3) psychiatric comorbidities (anxiety disorders, any dementia diagnosis, major depression, alcohol use disorder, schizophrenia, non-nicotine drug use disorder); and (4) terminal diagnosis of cancer (no/yes). The categorical intervention variable denoted whether the patient died before or after the BEACON intervention55 was implemented at that VA facility to account for temporal trends from the primary intervention.
RESULTS
Patient Characteristics
Of the 5341 veterans included in this analysis, 1946 (36.4%) had at least one psychiatric illness and 468 (8.76%) had a diagnosis of PTSD (Appendix Table 5—online). Table 1 characterizes the demographic differences between veterans with and without PTSD. The cohort was predominantly male (98.2%) and was 31.6% African-American, reflecting the racial distribution of the participating VA medical centers. Veterans with PTSD were significantly younger at death than those without PTSD, with mean ages of 65.4 and 70.1, respectively (p < 0.0001). Psychiatric comorbidities were statistically more prevalent in veterans with PTSD, 36.5% with anxiety disorder and 21.4% with major depressive disorder. The most common primary terminal diagnosis was cancer, followed by heart disease, regardless of PTSD diagnosis.
Table 1.
Demographic Characteristics of 5341 Veterans in the BEACON Intervention Trial Who Died as Inpatients in One of 6 VA Medical Facilities, Stratified by PTSD Diagnosis
Characteristics | PTSD diagnosis | Total (n = 5341) | Chi-square, p value | |
---|---|---|---|---|
Yes (n = 468) | No (n = 4873) | |||
Male gender | 462 (98.7) | 4784 (98.2) | 5246 (98.2) | 0.39 |
Race | 0.058 | |||
Black | 171 (36.5) | 1519 (31.2) | 1690 (31.6) | |
White | 261 (55.8) | 2940 (60.3) | 3201 (59.9) | |
Other | 36 (7.7) | 414 (8.5) | 450 (8.4) | |
Mean age at death in years (SD)* | 65.4 (10.4)* | 70.5 (11.5)* | 70.1 (11.5)* | < 0.0001*† |
Timing of death | < 0.0001† | |||
Before intervention | 196 (41.9) | 2720 (55.8) | 2916 (54.6) | |
After intervention | 272 (58.1) | 2153 (44.2) | 2425 (45.4) | |
Study site | < 0.0001† | |||
1 | 45 (9.6) | 993 (20.3) | 1038 (19.4) | |
2 | 67 (14.3) | 808 (16.6) | 875 (16.4) | |
3 | 125 (26.7) | 739 (15.2) | 864 (16.2) | |
4 | 49 (10.5) | 564 (11.6) | 613 (11.5) | |
5 | 87 (18.6) | 1018 (20.9) | 1105 (20.7) | |
6 | 95 (20.3) | 751 (15.4) | 846 (15.9) | |
Psychiatric comorbidities (could have one or more) | ||||
Anxiety disorders | 171 (36.5) | 607 (12.5) | 778 (14.6) | < 0.0001† |
Any dementia | 45 (9.6) | 526 (10.8) | 571 (10.7) | 0.43 |
Major depression | 100 (21.4) | 233 (4.8) | 333 (6.2) | < 0.0001† |
Alcohol use disorder | 50 (10.7) | 165 (3.4) | 215 (4.0) | < 0.0001† |
Schizophrenia | 29 (6.2) | 179 (3.7) | 208 (3.9) | 0.007 |
Drug use disorder (non-nicotine) | 55 (11.8) | 139 (2.9) | 194 (3.6) | < 0.0001† |
Primary terminal diagnosis | 0.0004† | |||
Cancer | 146 (31.2) | 1445 (29.7) | 1591 (29.8) | |
Dementia | 28 (6.0) | 415 (8.5) | 443 (8.3) | |
Lung disease | 40 (8.6) | 392 (8.0) | 432 (8.1) | |
Heart disease | 70 (15.0) | 1018 (20.9) | 1088 (20.4) | |
Kidney disease | 30 (6.0) | 252 (5.2) | 282 (5.3) | |
Liver disease | 47 (10.4) | 272 (5.6) | 319 (6.0) | |
Brain (stroke or neurological) | 28 (6.0) | 354 (7.3) | 382 (7.2) | |
HIV | 5 (1.1) | 77 (1.6) | 82 (1.5) | |
Acute illness | 32 (6.8) | 294 (6.0) | 326 (6.1) | |
Unexpected or none | 42 (9.0) | 354 (7.3) | 396 (7.4) |
135 patients had missing data and were not included. Data presented as number (column %), unless otherwise indicated
BEACON Best Practices for End-of-Life Care for Our Nation’s Veterans, VA Veterans Affairs, PTSD post-traumatic stress disorder, SD standard deviation, HIV human immunodeficiency virus
*Continuous variable, t test for statistical significance
†Statistically significant after Bonferroni correction, p < 0.0016
Care Patterns in Veterans With and Without PTSD
Table 2 describes the differences in outcomes for veterans with and without PTSD. Patients with PTSD had significantly more VA hospital admissions and ER visits than those without PTSD (admissions: PTSD 2.8, no PTSD 2.4, p < 0.0001; ER visits: 3.2 vs 2.5, p < 0.0001). Patients with PTSD were significantly more likely to have an advanced directive, 48.1% vs 37.9% (p < 0.0001). However, there was a trend towards fewer DNR orders in patients with PTSD, 66.5% vs 71.0% (p = 0.037). During the final admission, for veterans with PTSD, there was a trend towards any ICU use (49.6% vs 42.7%, p = 0.004), but deaths in the medical or cardiac ICU were less likely. There were no statistically significant differences noted in length of stay or use of invasive treatments. However, there were significant differences in administration of symptom-relieving medications in the last 7 days of life. Patients with PTSD were more likely to have received an opioid, benzodiazepine, or an antipsychotic at any time during the last 7 days of life and were also more likely to have received each medication class in both the last 48 h of life and in the time period from 49 h to 7 days before death.
Table 2.
Process of Care Outcomes of 5341 Veterans in the BEACON Intervention Trial Who Died as Inpatients in at One of 6 VA Medical Facilities, Stratified by PTSD Diagnosis
Outcomes | PTSD diagnosis | Total (n = 5341) | Chi-square, p value | |
---|---|---|---|---|
Yes (n = 468) | No (n = 4873) | |||
Mean number of VA admissions | ||||
In last 12 months of life (SD)* | 2.8 (2.1)* | 2.4 (1.8)* | 2.4 (1.8)* | < 0.0001*† |
Mean number of ER visits | ||||
In last 12 months of life (SD)* | 3.2 (3.7)* | 2.5 (2.8)* | 2.6 (2.9)* | < 0.0003*† |
Events—any time prior to death | ||||
Advanced directive documented | 225 (48.1) | 1847 (37.9) | 2072 (38.8) | <0.0001† |
Do not resuscitate order present | 311 (66.5) | 3462 (71.0) | 3773 (70.6) | 0.037 |
Events—Final Inpatient Admission | ||||
Mean length of stay in days (SD)* | 11.3 (78.6)* | 21.4 (146.9)* | 23.1 (172.4)* | 0.143* |
Mean days of IV infusion (SD)* | 5.0 (2.5)* | 5.0 (2.5)* | 5.0 (2.5)* | 0.85* |
Palliative care consult | 88 (18.8) | 787 (16.2) | 875 (16.3) | 0.139 |
Any time spent in ICU | 232 (49.6) | 2080 (42.7) | 2312 (43.3) | 0.004 |
Pastoral care note (during last 7 days) | 289 (61.8) | 2821 (57.9) | 3110 (58.2) | 0.106 |
IV infusing at death | 334 (71.4) | 3444 (70.7) | 3778 (70.7) | 0.75 |
Nasogastric or feeding tube at death | 188 (40.2) | 1904 (39.1) | 2092 (39.2) | 0.64 |
In restraints at death | 77 (16.5) | 801 (16.4) | 878 (16.4) | 0.99 |
Family present at death | 201 (42.9) | 2095 (43.0) | 2296 (43.0) | 0.99 |
Location of death | 0.006 | |||
Medical/Cardiac ICU | 138 (29.5) | 1873 (38.4) | 2011 (37.7) | |
Emergency room or urgent care | 5 (1.1) | 82 (1.7) | 87 (1.6) | |
Medical ward | 185 (39.5) | 1685 (34.6) | 1870 (35.0) | |
Surgical ICU | 47 (10.0) | 395 (8.1) | 442 (8.3) | |
Surgical ward | 27 (5.8) | 219 (4.5) | 246 (4.6) | |
Palliative care unit | 25 (5.3) | 196 (4.0) | 221 (4.1) | |
Other | 41 (8.8) | 423 (8.7) | 464 (8.7) | |
Medications given in last 7 days | ||||
Opioids | ||||
Ever given | 343 (73.3) | 3328 (68.3) | 3671 (68.7) | 0.026 |
When given | 0.004 | |||
Never | 125 (26.7) | 1545 (31.7) | 1670 (31.3) | |
0–48 h only | 114 (24.4) | 1283 (26.3) | 1397 (26.2) | |
49 h–7 days only | 42 (9.0) | 502 (10.3) | 544 (10.2) | |
Both time periods | 187 (40.0) | 1543 (31.7) | 1730 (32.4) | |
Benzodiazepines | ||||
Ever given | 222 (47.4) | 1936 (35.6) | 2158 (40.4) | 0.0012† |
When given | 0.0008† | |||
Never | 246 (52.6) | 2937 (60.3) | 3183 (59.6) | |
0–48 h only | 74 (15.8) | 769 (15.8) | 843 (15.8) | |
49 h–7 days only | 58 (12.4) | 524 (10.8) | 582 (11.0) | |
Both time periods | 90 (19.2) | 643 (13.2) | 733 (13.7) | |
Antipsychotics | ||||
Ever given | 123 (26.3) | 763 (17.8) | 886 (16.6) | < 0.0001† |
When given | < 0.0001† | |||
Never | 345 (73.7) | 4110 (84.3) | 4455 (83.4) | |
0–48 h only | 32 (6.8) | 217 (4.5) | 249 (4.7) | |
49 h–7 days only | 44 (9.4) | 260 (5.3) | 304 (5.7) | |
Both time periods | 47 (10.0) | 286 (5.9) | 333 (6.2) |
135 patients had missing data and were not included. Data presented as number (column %), unless otherwise indicated
BEACON Best Practices for End-of-Life Care for Our Nation’s Veterans, VA Veterans Affairs, PTSD post-traumatic stress disorder, SD standard deviation, ER emergency room, IV intravenous, ICU intensive care unit
*Continuous variable, t test for statistical significance
†Statistically significant after Bonferroni correction, p < 0.0016
Predictors of Medication Administration Throughout the Last 7 Days of Life
To model our assumption that patients with PTSD were more symptomatic, and thus consistently requiring symptom-relieving medication, we chose the data category of “both” observed time periods (receiving medication in the last 48 h of life and in the time period from 49 h to 7 days before death) for our GEE drug class models. As opioids, benzodiazepines, and antipsychotics tend to be used for different symptom clusters, we examined predictors of administration for each drug class separately and for all three classes combined using hierarchical GEE models (Appendix Table 6—online). PTSD was significant in the univariate models. However, in fully adjusted models, PTSD was only significant in the antipsychotic model (Table 3).
Table 3.
Generalized Estimating Equation (GEE) Models for Odds of PTSD Associated with Administration of Each Listed Medication Class in Both Time Periods (in the Last 48 h of Life and in the Last 2–7 Days of Life)
Model | Odds ratio (95% confidence interval) | p value |
---|---|---|
Opioids | ||
PTSD alone | 1.36 (1.04–1.79) | 0.034 |
Full model* | 1.18 (0.89–1.55) | 0.192 |
Benzodiazepines | ||
PTSD alone | 1.50 (1.20–1.18) | 0.006 |
Full model* | 1.06 (0.75–1.49) | 0.703 |
Antipsychotics | ||
PTSD alone | 1.75 (1.40–2.19) | 0.001 |
Full model* | 1.52 (1.06–2.18) | 0.030† |
All three drug classes | ||
PTSD alone | 2.34 (1.11–4.95) | 0.032 |
Full model* | 1.62 (0.48–5.46) | 0.358 |
All models included clustering by medical center
PTSD post-traumatic stress disorder
*Full models adjusted for year of death, in intervention phase of primary study, age at death, race, gender, anxiety, dementia, major depression, non-nicotine drug use disorder, alcohol use disorder, schizophrenia, and a primary terminal diagnosis of cancer
†Statistically significant in full model, p < 0.05
Table 4 illustrates the full models from Table 3, including covariates. Year of death was significant in each model. Older age was also significant, associated with a 13% lower likelihood of receiving opioids, a 15% lower likelihood of receiving benzodiazepines, and a 24% lower likelihood of receiving all three drug classes together.
Table 4.
Full Generalized Estimating Equation (GEE) Models, Including Covariates, for Odds of PTSD Associated with Administration of Each Listed Medication Class in Both Time Periods (in the Last 48 h of Life and in the Last 2–7 Days of Life)
Variables | Drug class GEE models | |||||||
---|---|---|---|---|---|---|---|---|
Opioids | Benzodiazepines | Antipsychotics | All three drug classes | |||||
Odds ratio (95% CI) | p value | Odds ratio (95% CI) | p value | Odds ratio (95% CI) | p value | Odds ratio (95% CI) | p value | |
PTSD | 1.18 (0.89–1.55) | 0.192 | 1.06 (0.75–1.49) | 0.703 | 1.52 (1.06–2.18) | 0.030* | 1.62 (0.48–5.46) | 0.358 |
Year (vs 2011) | < 0.001† | < 0.001† | < 0.001† | 0.0046* | ||||
2005 | 0.93 (0.56–1.54) | 0.80 (0.45–1.40) | 0.62 (0.44–0.88) | 0.32 (0.02–4.28) | ||||
2006 | 0.78 (0.47–1.31) | 0.69 (0.41–1.16) | 0.59 (0.37–0.93) | 0.24 (0.02–2.69) | ||||
2007 | 0.73 (0.48–1.11) | 0.79 (0.43–1.47) | 0.41 (0.28–0.60) | 0.10 (0.02–0.41) | ||||
2008 | 0.80 (0.54–1.17) | 0.77 (0.55–1.08) | 0.48 (0.33–0.68) | 0.22 (0.03–1.63) | ||||
2009 | 0.90 (0.55–1.48) | 0.90 (0.52–1.55) | 0.53 (0.44–0.65) | 0.41 (0.10–1.74) | ||||
2010 | 0.95 (0.65–1.39) | 0.92 (0.61–1.39) | 0.55 (0.36–0.85) | 0.36 (0.11–1.21) | ||||
Non–intervention arm | 0.89 (0.69–1.15) | 0.298 | 1.19 (0.95–1.49) | 0.098 | 0.75 (0.45–1.25) | 0.21 | 1.05 (0.12–9.21) | 0.954 |
Older age (by decade) | 0.87 (0.81–0.93) | < 0.001† | 0.85 (0.80–0.91) | < 0.001† | 1.08 (0.96–1.21) | 0.193 | 0.76 (0.61–0.95) | 0.015* |
White race | 0.79 (0.62–1.02) | 0.067 | 0.78 (0.66–0.92) | 0.012* | 0.92 (0.66–1.28) | 0.53 | 0.99 (0.37–2.65) | 0.97 |
Female gender | 1.14 (0.57–2.26) | 0.652 | 0.83 (0.39–1.74) | 0.54 | 0.75 (0.35–1.62) | 0.385 | 1.73 (0.34–8.96) | 0.429 |
Anxiety | 1.07 (0.84–1.37) | 0.51 | 1.60 (1.19–2.14) | 0.009* | 1.12 (0.77–1.64) | 0.472 | 1.42 (0.46–4.44) | 0.462 |
Dementia | 0.92 (0.59–1.43) | 0.646 | 0.68 (0.48–0.95) | 0.032* | 1.65 (0.99–2.73) | 0.052 | 2.03 (0.83–4.98) | 0.099 |
Major depression | 1.35 (1.13–1.61) | 0.0075* | 1.49 (1.14–1.94) | 0.012* | 1.49 (0.78–2.85) | 0.178 | 1.27 (0.54–3.01) | 0.506 |
Alcohol use disorder | 0.98 (0.54–1.78) | 0.943 | 2.15 (1.50–3.07) | 0.003* | 0.99 (0.43–2.29) | 0.982 | 1.34 (0.29–6.24) | 0.645 |
Schizophrenia | 0.89 (0.58–1.37) | 0.513 | 0.91 (0.59–1.39) | 0.579 | 4.35 (2.42–7.81) | 0.0013* | 1.88 (0.34–10.49) | 0.39 |
Drug use disorder | 1.51 (1.002–2.27) | 0.049* | 1.45 (1.08–1.95) | 0.022* | 1.45 (0.55–3.79) | 0.371 | 1.94 (0.80–4.73) | 0.112 |
Non–cancer terminal diagnosis‡ | 0.45 (0.38–0.53) | < 0.001† | 0.85 (0.74–0.98) | 0.032* | 0.77 (0.52–1.15) | 0.159 | 0.53 (0.28–1.004) | 0.0509 |
PTSD post-traumatic stress disorder, CI confidence interval
*p value is statistically significant, p < 0.05
†p value < 0.0001 and statistically significant
‡Non-cancer terminal diagnosis includes all primary terminal diagnoses other than a cancer diagnosis
Cancer and major depression were significant in both the opioid and benzodiazepine models. Patients with depression were 39% more likely to receive opioids and 49% more likely to receive benzodiazepines. In the benzodiazepine model, significant predictors included year of death, age, race, anxiety, alcohol use disorder, drug use disorder, and cancer. PTSD was only significant in the antipsychotic model, along with year of death and schizophrenia.
To examine if PTSD remained a significant predictor of VA ER visits or hospitalizations in the last 12 months of life, we also created GEE relative risk models with the same covariates as the drug class models. A PTSD diagnosis was associated with 1.09 times more admissions (95% CI 1.03–1.16, p = 0.034) and 1.10 times more ER visits (95% CI 0.98–1.24, p = 0.17).
DISCUSSION
Our findings provide new empirical evidence supporting the hypothesis that individuals with PTSD have increased symptom burden in the final months and days of life. In comparing veterans with and without PTSD dying in a VA medical facility, those with PTSD were more likely to have previously been admitted to a VA facility in the past 12 months and were more likely to have received antipsychotics in the last 7 days of life. PTSD, by definition, requires exposure to a traumatic event involving near death or threatened death.15 Subsequent trauma can cause a recurrence or worsening of PTSD symptoms.61, 62 Therefore, we hypothesized that as death nears, PTSD symptoms would worsen. Obtaining evidence that PTSD impacts the end of life will facilitate future work exploring this impact and developing interventions to improve the end-of-life experience.
Because prospective data collection in hospice and palliative care populations can be challenging,63, 64 we used medications and healthcare utilization as proxies for PTSD symptom burden. Patients with psychiatric illness typically have increased healthcare utilization.3–6 Those in mid-life with PTSD may have the highest utilization.65 Because this utilization is associated with symptom burden,65–67 we hypothesized that continued or worsening PTSD symptoms would thus contribute to increased end-of-life healthcare utilization.
Moving beyond symptoms, because PTSD is frequently comorbid with other psychiatric illnesses,17, 18, 68 we needed to determine if PTSD was a separately detectable issue at the end-of-life. Importantly, we found that only PTSD and schizophrenia were associated with administration of antipsychotics in the last 7 days of life. The schizophrenia finding was unsurprising, as the data did not consider medications prior to the last 7 days of life. While patients with schizophrenia would continue to receive antipsychotics in the final days of life, antipsychotics are not recommended for PTSD treatment69 nor are they routinely prescribed for PTSD in the VA setting.70, 71
For example, antipsychotic prescription rates in PTSD in VA in 2009 were 5.1% for second-generation antipsychotics in veterans age 65 and older71 and 13.9% for any antipsychotic overall.70 Our data was collected between 2005 and 2011, and the rates of receiving any antipsychotic in the last 7 days of life with and without PTSD were 26.3% and 15.6%, respectively. Antipsychotics have been associated with PTSD in patients with dementia.71 However, we controlled for dementia, and it was not associated with antipsychotic administration.
Antipsychotics are commonly prescribed in palliative care and hospice settings72, 73 and are recommended for short-term treatment of delirium.74, 75 However, black box warnings recommend against the long-term use of antipsychotics in elderly patients or those with dementia.76, 77 Antipsychotics are less commonly prescribed upon hospice admission than opioids or benzodiazepines. 73, 78 However, prescriptions increase as death nears,73, 78 initiated an average of 2–5 days prior to death.73 For additional context, in veterans receiving palliative care, but not actively dying, there was no difference in antipsychotic prescription rates between patients with or without PTSD.79 We cannot be certain, but these studies suggest that the antipsychotics provided to veterans with PTSD in our study were newly ordered in response to symptoms in the imminently dying.
To potentially explain our observed association with PTSD and antipsychotics, PTSD has been associated with anesthesia emergence delirium80–82 and ICU delirium.83, 84 However, to date, PTSD has not been identified as a risk factor for terminal delirium,85, 86 which is treated first-line with antipsychotics.74 A detailed discussion about the psycho-neuro-pathophysiology of PTSD and how it may predispose to delirium is beyond the context of this paper but has been described elsewhere.87–91 Briefly, in a semi-conscious state, an unknown stimulus, such as monitor beeping, is often interpreted as something dangerous, something to fear, especially in patients with PTSD. Generally, patients with PTSD are also less able to extinguish a fear response. Therefore, it is more likely that the continued fear response signal will cause physical agitation, such as pulling at tubes or lines. While some literature suggests that ICU exposure causes PTSD and not the opposite,48, 50 controlling for pre-existing PTSD or psychiatric illness removes this association.84, 92, 93
Due to the high psychiatric comorbidity in PTSD and in our study, it was unsurprising that PTSD was not associated with the administration of opioids or with benzodiazepines in the last 7 days of life. By controlling for comorbid psychiatric diagnoses, we were attempting to isolate the effects of PTSD on end-of-life medication administration. However, in patients with multiple psychiatric diagnoses, attributing one specific symptom to one specific diagnosis can be challenging.94, 95 Still, we feel that the correlations observed between opioids and depression and benzodiazepines with depression and anxiety suggest that in the final days of life, psychiatric illness may contribute to symptom burden.
We also considered that symptom burden may lead to increased healthcare utilization. We found that VA hospitalizations in the last 12 months of life were increased in comparing patients with and without PTSD; ER visits were not statistically different. Generally, patients with psychiatric illness, including those with PTSD, have increased healthcare utilization,65–67 if they have adequate healthcare access and do not feel stigmatized.96, 97 As VA provides expertise in veteran issues, especially in PTSD,51 veterans may feel less stigma and more comfortable seeking VA care.98, 99 In contrast, in Washington state, patients with psychiatric illness had decreased inpatient and ICU utilization, with increased ER use in the last 30 days of life.100 However, all psychiatric illnesses in this study were grouped together, which may not be ideal, as end-of-life care patterns can be more nuanced. For example, pre-existing depression was associated with earlier hospice use and less acute care in patients with lung cancer.101 A similar study found that patients with pre-existing depression or post-cancer depression both were more likely to use hospice than those without depression.102 However, patients with lung cancer and increased depression or anxiety symptoms were more likely to receive chemotherapy in the last 14 days of life.103 Thus, further study of psychiatric illness and its impact on end-of-life healthcare utilization is needed.
It was unexpected that advanced directive documentation was more common in veterans with PTSD, because we had hypothesized that avoidant coping in PTSD15 would decrease advance care planning (ACP). However, it is possible that repeated health system contact via higher utilization led to this finding.104, 105 In contrast, there was a trend towards veterans with PTSD being less likely to have a DNR order. Thus, it is difficult to discern the care choices made, or if PTSD impacted these choices. It is also possible that the BEACON intervention itself, emphasizing ACP and decreasing unwanted aggressive end-of life care, impacted our ACP findings.
We acknowledge that defining PTSD based on the patient problem list is a limitation. Our PTSD rate was 8.7%, with a median age of 65 for those patients, compared to lifetime PTSD prevalence of 3.7% for US veterans age 65 or older.68 In VA, using ICD-9 codes to detect PTSD has a 72–84% positive predictive value.106 Also, using ICD-9 codes for PTSD has been demonstrated to adequately separate patients with the most PTSD symptoms (true positives) from those with the least symptoms (true negatives), 107 symptoms being a dimension of interest in our study. However, without further information, PTSD rates using the problem list would be less than lifetime rates. Thus, our PTSD rate is likely an underestimate. However, an underestimate would bias the findings toward the null.
Further, our study focused on predominantly male veterans, dying within VA medical centers. Our findings only generalize to similar settings, as patients dying at home may have different end-of-life symptoms and utilization patterns. Non-VA healthcare use was unaccounted for and could have influenced our utilization findings. Additionally, descriptions of patient symptoms, rationales for medication administration, and PTSD severity were lacking. Other possible confounders, such as chronic pain, traumatic brain injury, or socioeconomic disadvantage, could not be accounted for. The strengths of this study include its large sample size and detailed information about end-of-life care processes metrics. Also, with 31.6% African-Americans, this sample was more racially representative than other VA-based studies, important because of the higher PTSD rates noted in minorities.18, 68
In conclusion, our findings provide new evidence suggesting increased symptom burden for individuals with PTSD at the end-of-life and that PTSD may be a separate risk factor for terminal delirium. Future studies should examine the impact of PTSD and other psychiatric illnesses on the end-of-life experience in all patient populations, not only veterans. The impact of symptom severity, prior treatment for psychiatric illness, physical and psychiatric comorbidities, and type of trauma experienced should also be considered.
Electronic supplementary material
(DOCX 18.6 kb)
Acknowledgments
We thank Paul E. Holtzheimer, MD, for his review and comments during the preparation of this manuscript
Funding Information
This research was funded by a grant from the Veterans Administration Health Services Research and Development (HSR&D) Program, “Impact of An Intervention to Improve Care at Life’s End in VA Medical Centers” (IIR 03-126, PI: KL Burgio, Co-PI: FA Bailey). Dr. Bickel was funded by the National Institute on Aging of the National Institutes of Health under award number 5T32AG044296. The views expressed are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs, the United States Government, or the National Institutes of Health.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they do not have a conflict of interest.
Footnotes
Prior Presentation
Data from this paper was presented as an oral abstract at the 2019 Annual Assembly of the American Academy of Hospice and Palliative Medicine, Orlando, FL, March 15, 2019.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Jackson VA, Jacobsen J, Greer JA, Pirl WF, Temel JS, Back AL. The cultivation of prognostic awareness through the provision of early palliative care in the ambulatory setting: a communication guide. J Palliat Med. 2013;16(8):894–900. doi: 10.1089/jpm.2012.0547. [DOI] [PubMed] [Google Scholar]
- 2.Wilson KG, Chochinov HM, Skirko MG, et al. Depression and anxiety disorders in palliative cancer care. Journal of pain and symptom management. 2007;33(2):118. doi: 10.1016/j.jpainsymman.2006.07.016. [DOI] [PubMed] [Google Scholar]
- 3.Pan X, Sambamoorthi U. Health care expenditures associated with depression in adults with cancer. J Commun Support Oncol. 2015;13(7):240–7. doi: 10.12788/jcso.0150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Unutzer J, Schoenbaum M, Katon WJ, et al. Healthcare costs associated with depression in medically Ill fee-for-service medicare participants. Journal of the American Geriatrics Society. 2009;57(3):506–10. doi: 10.1111/j.1532-5415.2008.02134.x. [DOI] [PubMed] [Google Scholar]
- 5.Himelhoch S, Weller WE, Wu AW, Anderson GF, Cooper LA. Chronic medical illness, depression, and use of acute medical services among Medicare beneficiaries. Med Care. 2004;42(6):512–21. doi: 10.1097/01.mlr.0000127998.89246.ef. [DOI] [PubMed] [Google Scholar]
- 6.Yoon J, Yano EM, Altman L, et al. Reducing costs of acute care for ambulatory care-sensitive medical conditions: the central roles of comorbid mental illness. Med Care. 2012;50(8):705–13. doi: 10.1097/MLR.0b013e31824e3379. [DOI] [PubMed] [Google Scholar]
- 7.Waserstein G, Partin C, Cohen D, Schettler P, Kinkead B, Rapaport MH. The prevalence and impact of psychiatric symptoms in an undiagnosed diseases clinical program. PloS one. 2019;14(6):e0216937. doi: 10.1371/journal.pone.0216937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Woo JM, Jeon HJ, Noh E, et al. Importance of remission and residual somatic symptoms in health-related quality of life among outpatients with major depressive disorder: a cross-sectional study. Health and quality of life outcomes. 2014;12:188. doi: 10.1186/s12955-014-0188-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Revicki DA, Brandenburg N, Matza L, Hornbrook MC, Feeny D. Health-related quality of life and utilities in primary-care patients with generalized anxiety disorder. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 2008;17(10):1285–94. doi: 10.1007/s11136-008-9406-6. [DOI] [PubMed] [Google Scholar]
- 10.Vigo D, Thornicroft G, Atun R. Estimating the true global burden of mental illness. Lancet Psychiatry. 2016;3(2):171–8. doi: 10.1016/S2215-0366(15)00505-2. [DOI] [PubMed] [Google Scholar]
- 11.Parks J, Svendsen D, Singer P, Foti ME, Mauer B. Morbidity and mortality in people with serious mental illness. Alexandria, VA: National Association of State Mental Health Program Directors (NASMHPD) Medical Directors Council; 2006. [Google Scholar]
- 12.Holubova M, Prasko J, Ociskova M, et al. Quality of life and coping strategies of outpatients with a depressive disorder in maintenance therapy - a cross-sectional study. Neuropsychiatric disease and treatment. 2018;14:73–82. doi: 10.2147/NDT.S153115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bockting CL, Hollon SD, Jarrett RB, Kuyken W, Dobson K. A lifetime approach to major depressive disorder: The contributions of psychological interventions in preventing relapse and recurrence. Clin Psychol Rev. 2015;41:16–26. doi: 10.1016/j.cpr.2015.02.003. [DOI] [PubMed] [Google Scholar]
- 14.Buckman JEJ, Underwood A, Clarke K, et al. Risk factors for relapse and recurrence of depression in adults and how they operate: A four-phase systematic review and meta-synthesis. Clin Psychol Rev. 2018;64:13–38. doi: 10.1016/j.cpr.2018.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.American Psychiatric Association., American Psychiatric Association DSM-5 Task Force. Trauma- and stressor-related disorders. In Diagnostic and statistical manual of mental disorders : DSM-5. 5th ed. Washington, D.C.: American Psychiatric Association; 2013:xliv, 947 p.
- 16.van der Kolk BA. The body keeps the score: memory and the evolving psychobiology of posttraumatic stress. Harvard review of psychiatry. 1994;1(5):253–65. doi: 10.3109/10673229409017088. [DOI] [PubMed] [Google Scholar]
- 17.Wisco BE, Marx BP, Miller MW, et al. Probable Posttraumatic Stress Disorder in the US Veteran Population According to DSM-5: Results From the National Health and Resilience in Veterans Study. J Clin Psychiatry. 2016;77(11):1503–10. doi: 10.4088/JCP.15m10188. [DOI] [PubMed] [Google Scholar]
- 18.Pietrzak RH, Goldstein RB, Southwick SM, Grant BF. Prevalence and Axis I comorbidity of full and partial posttraumatic stress disorder in the United States: results from Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. J Anxiety Disord. 2011;25(3):456–65. doi: 10.1016/j.janxdis.2010.11.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Defrin R, Schreiber S, Ginzburg K. Paradoxical Pain Perception in Posttraumatic Stress Disorder: The Unique Role of Anxiety and Dissociation. J Pain. 2015;16(10):961–70. doi: 10.1016/j.jpain.2015.06.010. [DOI] [PubMed] [Google Scholar]
- 20.Mostoufi S, Godfrey KM, Ahumada SM, et al. Pain sensitivity in posttraumatic stress disorder and other anxiety disorders: a preliminary case control study. Ann Gen Psychiatry. 2014;13(1):31. doi: 10.1186/s12991-014-0031-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Gomez-Perez L, Lopez-Martinez AE. Association of trauma, posttraumatic stress disorder, and experimental pain response in healthy young women. Clin J Pain. 2013;29(5):425–34. doi: 10.1097/AJP.0b013e31825e454e. [DOI] [PubMed] [Google Scholar]
- 22.Loeb TB, Joseph NT, Wyatt GE, et al. Predictors of somatic symptom severity: The role of cumulative history of trauma and adversity in a diverse community sample. Psychol Trauma. 2018;10(5):491–8. doi: 10.1037/tra0000334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Bae SM, Kang JM, Chang HY, Han W, Lee SH. PTSD correlates with somatization in sexually abused children: Type of abuse moderates the effect of PTSD on somatization. PloS one. 2018;13(6):e0199138. doi: 10.1371/journal.pone.0199138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Magruder KM, Goldberg J, Forsberg CW, et al. Long-Term Trajectories of PTSD in Vietnam-Era Veterans: The Course and Consequences of PTSD in Twins. J Trauma Stress. 2016;29(1):5–16. doi: 10.1002/jts.22075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Steinert C, Hofmann M, Leichsenring F, Kruse J. The course of PTSD in naturalistic long-term studies: high variability of outcomes. A systematic review. Nord J Psychiatry. 2015;69(7):483–96. doi: 10.3109/08039488.2015.1005023. [DOI] [PubMed] [Google Scholar]
- 26.Bonanno George A., Brewin Chris R., Kaniasty Krzysztof, Greca Annette M. La. Weighing the Costs of Disaster. Psychological Science in the Public Interest. 2010;11(1):1–49. doi: 10.1177/1529100610387086. [DOI] [PubMed] [Google Scholar]
- 27.Horesh D, Solomon Z, Keinan G, Ein-Dor T. The clinical picture of late-onset PTSD: a 20-year longitudinal study of Israeli war veterans. Psychiatry Res. 2013;208(3):265–73. doi: 10.1016/j.psychres.2012.12.004. [DOI] [PubMed] [Google Scholar]
- 28.Pietrzak RH, Van Ness PH, Fried TR, Galea S, Norris FH. Trajectories of posttraumatic stress symptomatology in older persons affected by a large-magnitude disaster. J Psychiatric Res. 2013;47(4):520–6. doi: 10.1016/j.jpsychires.2012.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Port CL, Engdahl B, Frazier P. A longitudinal and retrospective study of PTSD among older prisoners of war. Am J Psychiatry. 2001;158(9):1474–9. doi: 10.1176/appi.ajp.158.9.1474. [DOI] [PubMed] [Google Scholar]
- 30.Steenkamp MM, Schlenger WE, Corry N, et al. Predictors of PTSD 40 years after combat: Findings from the National Vietnam Veterans longitudinal study. Depress Anxiety. 2017;34(8):711–22. doi: 10.1002/da.22628. [DOI] [PubMed] [Google Scholar]
- 31.Mota N, Tsai J, Kirwin PD, et al. Late-life exacerbation of PTSD symptoms in US veterans: results from the National Health and Resilience in Veterans Study. J Clin Psychiatry. 2016;77(3):348–54. doi: 10.4088/JCP.15m10101. [DOI] [PubMed] [Google Scholar]
- 32.Horesh D, Solomon Z, Zerach G, Ein-Dor T. Delayed-onset PTSD among war veterans: the role of life events throughout the life cycle. Social Psychiatry and Psychiatric Epidemiology. 2011;46(9):863–70. doi: 10.1007/s00127-010-0255-6. [DOI] [PubMed] [Google Scholar]
- 33.Maniates H, Stoop TB, Miller MW, Halberstadt L, Wolf EJ. Stress-Generative Effects of Posttraumatic Stress Disorder: Transactional Associations Between Posttraumatic Stress Disorder and Stressful Life Events in a Longitudinal Sample. Journal of Traumatic Stress. 2018;31(2):191–201. doi: 10.1002/jts.22269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Hiskey S, Luckie M, Davies S, Brewin CR. The emergence of posttraumatic distress in later life: a review. J Geriatr Psychiatry Neurol. 2008;21(4):232–41. doi: 10.1177/0891988708324937. [DOI] [PubMed] [Google Scholar]
- 35.Macleod AD. The reactivation of post-traumatic stress disorder in later life. Aust N Z J Psychiatry. 1994;28(4):625–34. doi: 10.1080/00048679409080786. [DOI] [PubMed] [Google Scholar]
- 36.Sachs-Ericsson N, Joiner TE, Cougle JR, Stanley IH, Sheffler JL. Combat Exposure in Early Adulthood Interacts with Recent Stressors to Predict PTSD in Aging Male Veterans. The Gerontologist. 2015. [DOI] [PubMed]
- 37.Davison EH, Kaiser AP, Spiro A, 3rd, Moye J, King LA, King DW. From Late-Onset Stress Symptomatology to Later-Adulthood Trauma Reengagement in Aging Combat Veterans: Taking a Broader View. The Gerontologist. 2016;56(1):14–21. doi: 10.1093/geront/gnv097. [DOI] [PubMed] [Google Scholar]
- 38.Davison Eve H., Pless Anica P., Gugliucci Marilyn R., King Lynda A., King Daniel W., Salgado Dawn M., Spiro Avron, Bachrach Peter. Late-Life Emergence of Early-Life Trauma. Research on Aging. 2006;28(1):84–114. [Google Scholar]
- 39.Gradus JL. Prevalence and prognosis of stress disorders: a review of the epidemiologic literature. Clin Epidemiol. 2017;9:251–60. doi: 10.2147/CLEP.S106250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):593–602. doi: 10.1001/archpsyc.62.6.593. [DOI] [PubMed] [Google Scholar]
- 41.Kessler RC, Chiu WT, Demler O, Merikangas KR, Walters EE. Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62(6):617–27. doi: 10.1001/archpsyc.62.6.617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Reynolds K, Pietrzak RH, Mackenzie CS, Chou KL, Sareen J. Post-Traumatic Stress Disorder Across the Adult Lifespan: Findings From a Nationally Representative Survey. Am J Geriatr Psychiatry. 2016;24(1):81–93. doi: 10.1016/j.jagp.2015.11.001. [DOI] [PubMed] [Google Scholar]
- 43.PDQ Supportive and Palliative Care Editorial Board. Cancer-Related Post-traumatic Stress (PDQ®): Health Professional Version. 2015 Jan. In: PDQ Cancer Information Summaries [Internet] [Internet]. Bethesda, MD: National Cancer Institute (US). Available from: https://www.ncbi.nlm.nih.gov/books/NBK65728/. [PubMed]
- 44.Doolittle MN, DuHamel KN. Post-traumatic Stress Disorder Associated with Cancer Diagnosis and Treatment. 3. 2015. Psycho-Oncology; pp. 323–38. [Google Scholar]
- 45.Abbey G, Thompson SB, Hickish T, Heathcote D. A meta-analysis of prevalence rates and moderating factors for cancer-related post-traumatic stress disorder. Psychooncology. 2015;24(4):371–81. doi: 10.1002/pon.3654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Machtinger EL, Wilson TC, Haberer JE, Weiss DS. Psychological trauma and PTSD in HIV-positive women: a meta-analysis. AIDS Behav. 2012;16(8):2091–100. doi: 10.1007/s10461-011-0127-4. [DOI] [PubMed] [Google Scholar]
- 47.Martin L, Kagee A. Lifetime and HIV-related PTSD among persons recently diagnosed with HIV. AIDS Behav. 2011;15(1):125–31. doi: 10.1007/s10461-008-9498-6. [DOI] [PubMed] [Google Scholar]
- 48.Parker AM, Sricharoenchai T, Raparla S, Schneck KW, Bienvenu OJ, Needham DM. Posttraumatic stress disorder in critical illness survivors: a metaanalysis. Crit Care Med. 2015;43(5):1121–9. doi: 10.1097/CCM.0000000000000882. [DOI] [PubMed] [Google Scholar]
- 49.Tedstone JE, Tarrier N. Posttraumatic stress disorder following medical illness and treatment. Clin Psychol Rev. 2003;23(3):409–48. doi: 10.1016/s0272-7358(03)00031-x. [DOI] [PubMed] [Google Scholar]
- 50.Righy C, Rosa RG, da Silva RTA, et al. Prevalence of post-traumatic stress disorder symptoms in adult critical care survivors: a systematic review and meta-analysis. Critical care (London, England) 2019;23(1):213. doi: 10.1186/s13054-019-2489-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Institute of Medicine (U.S.). Committee on the Assessment of Ongoing Efforts in the Treatment of Posttraumatic Stress Disorder, National Academies Press (U.S.) Treatment for posttraumatic stress disorder in military and veteran populations : initial assessment. Washington, D.C.: National Academies Press; 2012. [PubMed] [Google Scholar]
- 52.Graves RE, Freedy JR, Aigbogun NU, Lawson WB, Mellman TA, Alim TN. PTSD Treatment of African American Adults in Primary Care: The Gap Between Current Practice and Evidence-Based Treatment Guidelines. Journal of the National Medical Association. 2011;103(7):585–93. doi: 10.1016/s0027-9684(15)30384-9. [DOI] [PubMed] [Google Scholar]
- 53.Fisher MP. PTSD in the U.S. military, and the politics of prevalence. Social Science & Medicine. 2014;115:1–9. doi: 10.1016/j.socscimed.2014.05.051. [DOI] [PubMed] [Google Scholar]
- 54.Miele D, O’Brien EJ. Underdiagnosis of posttraumatic stress disorder in at risk youth. Journal of Traumatic Stress. 2010;23(5):591–8. doi: 10.1002/jts.20572. [DOI] [PubMed] [Google Scholar]
- 55.Bailey FA, Williams BR, Woodby LL, et al. Intervention to improve care at life's end in inpatient settings: the BEACON trial. J Gen Intern Med. 2014;29(6):836–43. doi: 10.1007/s11606-013-2724-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Diggle P, Liang K-Y, Zeger SL. Analysis of longitudinal data. Oxford, New York: Clarendon Press; Oxford University Press; 1994. [Google Scholar]
- 57.Fay MP, Graubard BI. Small-sample adjustments for Wald-type tests using sandwich estimators. Biometrics. 2001;57(4):1198–206. doi: 10.1111/j.0006-341x.2001.01198.x. [DOI] [PubMed] [Google Scholar]
- 58.Mancl LA, DeRouen TA. A covariance estimator for GEE with improved small-sample properties. Biometrics. 2001;57(1):126–34. doi: 10.1111/j.0006-341x.2001.00126.x. [DOI] [PubMed] [Google Scholar]
- 59.Pan W, Wall MM. Small-sample adjustments in using the sandwich variance estimator in generalized estimating equations. Stat Med. 2002;21(10):1429–41. doi: 10.1002/sim.1142. [DOI] [PubMed] [Google Scholar]
- 60.Kauermann G. xf, ran, Carroll RJ. A Note on the Efficiency of Sandwich Covariance Matrix Estimation. J Am Stat Assoc. 2001;96(456):1387–96. [Google Scholar]
- 61.Breslau N, Chilcoat HD, Kessler RC, Davis GC. Previous exposure to trauma and PTSD effects of subsequent trauma: results from the Detroit Area Survey of Trauma. Am J Psychiatry. 1999;156(6):902–7. doi: 10.1176/ajp.156.6.902. [DOI] [PubMed] [Google Scholar]
- 62.Breslau N, Peterson EL. Assaultive violence and the risk of posttraumatic stress disorder following a subsequent trauma. Behaviour research and therapy. 2010;48(10):1063–6. doi: 10.1016/j.brat.2010.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Abernethy AP, Capell WH, Aziz NM, et al. Ethical conduct of palliative care research: enhancing communication between investigators and institutional review boards. J Pain Symptom Manage. 2014;48(6):1211–21. doi: 10.1016/j.jpainsymman.2014.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Chen EK, Riffin C, Reid MC, et al. Why is high-quality research on palliative care so hard to do? Barriers to improved research from a survey of palliative care researchers. J Palliat Med. 2014;17(7):782–7. doi: 10.1089/jpm.2013.0589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Cohen BE, Gima K, Bertenthal D, Kim S, Marmar CR, Seal KH. Mental health diagnoses and utilization of VA non-mental health medical services among returning Iraq and Afghanistan veterans. J Gen Intern Med. 2010;25(1):18–24. doi: 10.1007/s11606-009-1117-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Kartha A, Brower V, Saitz R, Samet JH, Keane TM, Liebschutz J. The impact of trauma exposure and post-traumatic stress disorder on healthcare utilization among primary care patients. Med Care. 2008;46(4):388–93. doi: 10.1097/MLR.0b013e31815dc5d2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Schlenger WE, Mulvaney-Day N, Williams CS, et al. PTSD and Use of Outpatient General Medical Services Among Veterans of the Vietnam War. Psychiatric services (Washington, DC) 2016;67(5):543–50. doi: 10.1176/appi.ps.201400576. [DOI] [PubMed] [Google Scholar]
- 68.Smith SM, Goldstein RB, Grant BF. The association between post-traumatic stress disorder and lifetime DSM-5 psychiatric disorders among veterans: Data from the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) J Psychiatr Res. 2016;82:16–22. doi: 10.1016/j.jpsychires.2016.06.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Management of Post-Traumatic Stress Working Group. VA/DoD Clinical Practice Guideline for the Management of Posttraumatic Stress Disorder and Acute Stress Disorder. Washington, D.C.: Department of Veterans Affairs, Department of Defense; 2017. Available from: https://www.healthquality.va.gov/guidelines/MH/ptsd/VADoDPTSDCPGFinal012418.pdf.
- 70.Bernardy NC, Lund BC, Alexander B, Friedman MJ. Prescribing trends in veterans with posttraumatic stress disorder. J Clin Psychiatry. 2012;73(3):297–303. doi: 10.4088/JCP.11m07311. [DOI] [PubMed] [Google Scholar]
- 71.Semla TP, Lee A, Gurrera R, et al. Off-Label Prescribing of Second-Generation Antipsychotics to Elderly Veterans with Posttraumatic Stress Disorder and Dementia. Journal of the American Geriatrics Society. 2017;65(8):1789–95. doi: 10.1111/jgs.14897. [DOI] [PubMed] [Google Scholar]
- 72.Sera L, McPherson ML, Holmes HM. Commonly prescribed medications in a population of hospice patients. Am J Hosp Palliat Care. 2014;31(2):126–31. doi: 10.1177/1049909113476132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Arevalo JJ, Geijteman ECT, Huisman BAA, et al. Medication Use in the Last Days of Life in Hospital, Hospice, and Home Settings in the Netherlands. J Palliat Med. 2018;21(2):149–55. doi: 10.1089/jpm.2017.0179. [DOI] [PubMed] [Google Scholar]
- 74.Bush SH, Kanji S, Pereira JL, et al. Treating an established episode of delirium in palliative care: expert opinion and review of the current evidence base with recommendations for future development. J Pain Symptom Manage. 2014;48(2):231–48. doi: 10.1016/j.jpainsymman.2013.07.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Hui D, Frisbee-Hume S, Wilson A, et al. Effect of Lorazepam With Haloperidol vs Haloperidol Alone on Agitated Delirium in Patients With Advanced Cancer Receiving Palliative Care: A Randomized Clinical Trial. JAMA : the journal of the American Medical Association. 2017;318(11):1047–56. doi: 10.1001/jama.2017.11468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Reus VI, Fochtmann LJ, Eyler AE, et al. The American Psychiatric Association Practice Guideline on the Use of Antipsychotics to Treat Agitation or Psychosis in Patients With Dementia. Am J Psychiatry. 2016;173(5):543–6. doi: 10.1176/appi.ajp.2015.173501. [DOI] [PubMed] [Google Scholar]
- 77.Kales HC, Kim HM, Zivin K, et al. Risk of mortality among individual antipsychotics in patients with dementia. Am J Psychiatry. 2012;169(1):71–9. doi: 10.1176/appi.ajp.2011.11030347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Masman AD, van Dijk M, Tibboel D, Baar FP, Mathot RA. Medication use during end-of-life care in a palliative care centre. International journal of clinical pharmacy. 2015;37(5):767–75. doi: 10.1007/s11096-015-0094-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Kelley-Cook E, Nguyen G, Lee S, Edwards TM, Sanchez-Reilly S. Medication Needs Vary for Terminally Ill Vietnam Era Veterans With and Without a Diagnosis of PTSD. Am J Hosp Palliat Care. 2016;33(7):625–32. doi: 10.1177/1049909115586556. [DOI] [PubMed] [Google Scholar]
- 80.McGuire JM. The incidence of and risk factors for emergence delirium in U.S. military combat veterans. J Perianesth Nurs. 2012;27(4):236–45. doi: 10.1016/j.jopan.2012.05.004. [DOI] [PubMed] [Google Scholar]
- 81.Wilson JT. Pharmacologic, physiologic, and psychological characteristics associated with emergence delirium in combat veterans. AANA J. 2014;82(5):355–62. [PubMed] [Google Scholar]
- 82.Umholtz M, Cilnyk J, Wang CK, Porhomayon J, Pourafkari L, Nader ND. Postanesthesia emergence in patients with post-traumatic stress disorder. J Clin Anesth. 2016;34:3–10. doi: 10.1016/j.jclinane.2016.02.047. [DOI] [PubMed] [Google Scholar]
- 83.Davydow DS, Gifford JM, Desai SV, Needham DM, Bienvenu OJ. Posttraumatic stress disorder in general intensive care unit survivors: a systematic review. Gen Hosp Psychiatry. 2008;30(5):421–34. doi: 10.1016/j.genhosppsych.2008.05.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Wolters AE, Peelen LM, Welling MC, et al. Long-Term Mental Health Problems After Delirium in the ICU. Crit Care Med. 2016;44(10):1808–13. doi: 10.1097/CCM.0000000000001861. [DOI] [PubMed] [Google Scholar]
- 85.Morita T, Tei Y, Tsunoda J, Inoue S, Chihara S. Underlying pathologies and their associations with clinical features in terminal delirium of cancer patients. J Pain Symptom Manage. 2001;22(6):997–1006. doi: 10.1016/s0885-3924(01)00360-8. [DOI] [PubMed] [Google Scholar]
- 86.Bush SH, Leonard MM, Agar M, et al. End-of-life delirium: issues regarding recognition, optimal management, and the role of sedation in the dying phase. J Pain Symptom Manage. 2014;48(2):215–30. doi: 10.1016/j.jpainsymman.2014.05.009. [DOI] [PubMed] [Google Scholar]
- 87.McLott J, Jurecic J, Hemphill L, Dunn KS. Development of an amygdalocentric neurocircuitry-reactive aggression theoretical model of emergence delirium in posttraumatic stress disorder: an integrative literature review. Aana j. 2013;81(5):379–84. [PubMed] [Google Scholar]
- 88.Kelmendi B, Adams TG, Yarnell S, Southwick S, Abdallah CG, Krystal JH. PTSD: from neurobiology to pharmacological treatments. European journal of psychotraumatology. 2016;7:31858. doi: 10.3402/ejpt.v7.31858. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Fitzgerald JM, DiGangi JA, Phan KL. Functional Neuroanatomy of Emotion and Its Regulation in PTSD. Harvard review of psychiatry. 2018;26(3):116–28. doi: 10.1097/HRP.0000000000000185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Clausen AN, Francisco AJ, Thelen J, et al. PTSD and cognitive symptoms relate to inhibition-related prefrontal activation and functional connectivity. Depress Anxiety. 2017;34(5):427–36. doi: 10.1002/da.22613. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.White SF, Costanzo ME, Thornton LC, Mobley AM, Blair JR, Roy MJ. Increased cognitive control and reduced emotional interference is associated with reduced PTSD symptom severity in a trauma-exposed sample: A preliminary longitudinal study. Psychiatry research Neuroimaging. 2018;278:7–12. doi: 10.1016/j.pscychresns.2018.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Patel MB, Jackson JC, Morandi A, et al. Incidence and Risk Factors for Intensive Care Unit-related Post-traumatic Stress Disorder in Veterans and Civilians. Am J Respir Crit Care Med. 2016;193(12):1373–81. doi: 10.1164/rccm.201506-1158OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Jackson JC, Pandharipande PP, Girard TD, et al. Depression, post-traumatic stress disorder, and functional disability in survivors of critical illness in the BRAIN-ICU study: a longitudinal cohort study. The Lancet Respiratory medicine. 2014;2(5):369–79. doi: 10.1016/S2213-2600(14)70051-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.van Loo HM, Romeijn JW. Psychiatric comorbidity: fact or artifact? Theor Med Bioeth. 2015;36(1):41–60. doi: 10.1007/s11017-015-9321-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Allsopp K, Read J, Corcoran R, Kinderman P. Heterogeneity in psychiatric diagnostic classification. Psychiatry Research. 2019;279:15–22. doi: 10.1016/j.psychres.2019.07.005. [DOI] [PubMed] [Google Scholar]
- 96.Ross LE, Vigod S, Wishart J, et al. Barriers and facilitators to primary care for people with mental health and/or substance use issues: a qualitative study. BMC Fam Pract. 2015;16:135. doi: 10.1186/s12875-015-0353-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Henderson C, Evans-Lacko S, Thornicroft G. Mental illness stigma, help seeking, and public health programs. Am J Public Health. 2013;103(5):777–80. doi: 10.2105/AJPH.2012.301056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Finley EP, Mader M, Bollinger MJ, et al. Characteristics Associated With Utilization of VA and Non-VA Care Among Iraq and Afghanistan Veterans With Post-Traumatic Stress Disorder. Military medicine. 2017;182(11):e1892–e903. doi: 10.7205/MILMED-D-17-00074. [DOI] [PubMed] [Google Scholar]
- 99.Maynard C, Batten A, Liu CF, Nelson K, Fihn SD. The Burden of Mental Illness Among Veterans: Use of VHA Health Care Services by Those With Service-connected Conditions. Med Care. 2017;55(11):965–9. doi: 10.1097/MLR.0000000000000806. [DOI] [PubMed] [Google Scholar]
- 100.Lavin K, Davydow DS, Downey L, et al. Effect of Psychiatric Illness on Acute Care Utilization at End of Life From Serious Medical Illness. J Pain Symptom Manage. 2017;54(2):176-85.e1. doi: 10.1016/j.jpainsymman.2017.04.003. [DOI] [PubMed] [Google Scholar]
- 101.McDermott CL, Bansal A, Ramsey SD, Lyman GH, Sullivan SD. Depression and Health Care Utilization at End of Life Among Older Adults With Advanced Non–Small-Cell Lung Cancer. Journal of pain and symptom management. 2018;56(5):699-708. e1. doi: 10.1016/j.jpainsymman.2018.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Doan K, Levy B, Gross CP, Wang S-Y. Associations between pre-and post-cancer depression diagnoses and end-of-life cancer care intensity. J Clin Pathways. 2016;2:47–54. [Google Scholar]
- 103.Temel JS, McCannon J, Greer JA, et al. Aggressiveness of care in a prospective cohort of patients with advanced NSCLC. Cancer. 2008;113(4):826–33. doi: 10.1002/cncr.23620. [DOI] [PubMed] [Google Scholar]
- 104.Koss C. Encounters With Health-Care Providers and Advance Directive Completion by Older Adults. J Palliat Care. 2018;33(3):178–81. doi: 10.1177/0825859718769099. [DOI] [PubMed] [Google Scholar]
- 105.Rao JK, Anderson LA, Lin FC, Laux JP. Completion of advance directives among U.S. consumers. Am J Prev Med. 2014;46(1):65–70. doi: 10.1016/j.amepre.2013.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Gravely AA, Cutting A, Nugent S, Grill J, Carlson K, Spoont M. Validity of PTSD diagnoses in VA administrative data: comparison of VA administrative PTSD diagnoses to self-reported PTSD Checklist scores. J Rehabil Res Dev. 2011;48(1):21–30. doi: 10.1682/jrrd.2009.08.0116. [DOI] [PubMed] [Google Scholar]
- 107.Holowka DW, Marx BP, Gates MA, et al. PTSD diagnostic validity in Veterans Affairs electronic records of Iraq and Afghanistan veterans. J Consult Clin Psychol. 2014;82(4):569–79. doi: 10.1037/a0036347. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
(DOCX 18.6 kb)