Skip to main content
Download PDF

Serious mental illnesses associated with receipt of surgery in retrospective analysis of patients in the Veterans Health Administration

BMC Surgery volume 15, Article number: 74 (2015) Cite this article

Abstract

Background

The STOPP study (Surgical Treatment Outcomes for Patients with Psychiatric Disorders) analyzed variation in rates and types of major surgery by serious mental illness status among patients treated in the Veterans Health Administration (VA). VA patients are veterans of United States military service who qualify for federal care by reason of disability, special service experiences, or poverty.

Methods

STOPP conducted a secondary data analysis of medical record extracts for seven million VA patients treated Oct 2005-Sep 2009. The retrospective study aggregated inpatient surgery events, comorbid diagnoses, demographics, and postoperative 30-day mortality.

Results

Serious mental illness -- schizophrenia, bipolar disorder, posttraumatic stress disorder, or major depressive disorder, was identified in 12 % of VA patients. Over the 4-year study period, 321,131 patients (4.5 %) underwent surgery with same-day preoperative or immediate post-operative admission including14 % with serious mental illness. Surgery patients were older (64 vs. 61 years) and more commonly African-American, unmarried, impoverished, highly disabled (24 % vs 12 % were Priority 1), obese, with psychotic disorder (4.3 % vs 2.9 %). Among surgery patients, 3.7 % died within 30 days postop. After covariate adjustment, patients with pre-existing serious mental illness were relatively less likely to receive surgery (adjusted odds ratios 0.4-0.7).

Conclusions

VA patients undergoing major surgery appeared, in models controlling for comorbidity and demographics, to disproportionately exclude those with serious mental illness. While VA preferentially treats the most economically and medically disadvantaged veterans, the surgery subpopulation may be especially ill, potentially warranting increased postoperative surveillance.

Peer Review reports

Background

For veterans without monetary or insurance resources, the choice of hospital in which to undergo inpatient (non-ambulatory) surgical treatment may be outside their control. In the Veterans Health Administration (VA), the largest integrated healthcare system in the United States, patients become eligible for VA care as veterans of US military service by reason of medical or psychiatric disabilities, low income, or factors related to their military service such as receiving a Purple Heart. In the face of limited resources, the VA prioritizes offering care to the most disadvantaged veterans including those with a serious mental illness, recognizing the lack of options that comes with an inability to work, to maintain social ties, or to care for oneself [1]. The quality of their inpatient care then becomes a matter of national interest, not only to provide optimal care for those who have served their country but also to ensure good fiscal management of the taxpayer dollar which supports the VA system.

While the Veterans Administration Surgical Quality Improvement Program (VASQIP) was established to collect meticulously detailed perioperative data and to monitor the quality of surgical outcomes within the Veterans Health Administration, neither VASQIP nor its counterpart in the American College of Surgeons collects preoperative psychiatric diagnoses [2, 3]. As a result, the potential effect of psychiatric illness on perioperative care is largely unevaluated.

That pre-existing psychiatric disorders may play a role in surgical intervention or outcomes is suggested by the large literature on high rates of physical comorbidity for persons with serious mental illness. The Veterans Health Administration defines serious mental illness as schizophrenia, bipolar disorder, post-traumatic stress disorder (PTSD), or major depressive disorder (MDD), and allocates resources specifically for treating patients with serious mental illness [4]. However, a systematic review of evidence published from 1966 to August 2007 regarding postoperative clinical outcomes for patients with serious mental illness identified only 12 studies – 10 of patients with schizophrenia and two concerning patients with major depressive disorder [5]. Three reports suggested that patients with schizophrenia have more postoperative complications including death and may present at later stage of surgical disease [6–8]. Two found that pre-operative discontinuation of psychotropic medication in patients with schizophrenia or depression resulted in more postoperative delirium, confusion, and psychiatric symptoms than when medications were continued [9, 10]. The systematic review found no studies of clinical outcomes of surgery for patients with preoperative PTSD or bipolar disorder. Subsequent papers have noted (a) 25 % of patients admitted to VA intensive care units (ICU) had preoperative mental illness, (b) adjusted 30-day mortality rates were higher for ICU patients with preoperative depression or anxiety, and (c) patients with schizophrenia had elevated rates of postoperative complications including death [11, 12]. The frequency with which patients with serious psychiatric conditions undergo surgery also appears to be undocumented. Surgical intervention represents a crucial dimension to understanding the medical comorbidity and medical care needs of seriously mentally ill patients.

There are important reasons to suspect that patients with serious mental illness may fare poorly perioperatively. First, because of sedentary lifestyle, diet, high smoking rates, suicidality, and genetic susceptibility, persons with serious mental illness age early and are at the leading edge of their age cohort in terms of multi-morbidity and mortality. They are essentially a decade “older” physiologically than their counterparts [13–15]. Second, because of poor insight, difficulty articulating symptoms, and for those with schizophrenia higher pain thresholds, they may present at a later stage of surgical disease, increasing their risk of postoperative complications [16, 17]. Third, because of poor treatment engagement and care coordination challenges, they may receive less preventive care and less management of comorbid medical conditions such as diabetes and coronary artery disease, resulting in surgical conditions that might have been prevented (e.g., lower extremity amputation due to late manifestations of peripheral arterial disease rather than bypass or stent procedures at earlier stages of disease) [14]. As a corollary, they may present to any operation with higher perioperative risk due to the higher burden of comorbid illness.

This retrospective cohort study offers the first comprehensive look at the types and relative rates of surgery experienced by VA patients with and without the four serious mental illnesses defined above. The purpose of this study was to describe (a) the population of patients undergoing inpatient surgery in the VA and variation in surgery patients’ characteristics by mental illness status, (b) types and rates of surgeries by mental illness status, and (c) post-operative mortality and complications by serious mental illness status.

Methods

Sample and data sources

The Surgical Treatment Outcomes for Patients with Psychiatric Disorders (STOPP) study used administrative data extracts from the VA’s all-electronic medical record system for the fiscal years (FY) 2006-2009. The study was approved by the institutional review boards at South Texas Veterans Health Care System (#10-187H) and Central Texas Veterans Health Care System (#00412) prior to initiation; waivers of informed consent and HIPAA authorization were granted. Data were aggregated to examine serious mental illness diagnosis and receipt of qualifying inpatient operations. Veterans using the VA during that time frame were eligible for inclusion in the study (n = 7.1 million persons), including the subset who experienced inpatient surgical treatment (n = 321,131). Qualifying inpatient operations were invasive procedures requiring either preoperative or immediate (same-day) postoperative hospitalization with at least one overnight. For patients with multiple qualifying operations, the first surgery during the study period FY2006-FY2009 was used.

VA medical SAS datasets were used. These datasets are updated biweekly from nightly transmissions of patient utilization data system-wide (including the United States, its territories and possessions). Established protocols govern the formation of uniformly defined variables from each site. The validity of VA administrative databases has been ascertained by studies examining demographics, types of care, and diagnoses [18–20].

Inpatient operations

CPT and ICD-9-A procedure codes identified operations. An iterative process conducted with physicians including surgeons during a 2-year pilot study determined 12,000 qualifying surgical procedures. Procedures conducted for diagnosis only were excluded as were non-surgical procedures, such as inpatient alcohol rehabilitation. Procedures were then grouped by type such as vascular operations.

Serious mental illness

Serious mental illness was defined as in prior studies of VA patients. Diagnosis on two or more outpatient dates in the year prior to the qualifying index operation identified schizophrenia (ICD-9 codes 295.x excluding 295.5), bipolar disorder (296.0-296.1, 296.4-296.8), post-traumatic stress disorder (309.81), and major depressive disorder (296.2-296.3, 311) [21–23]. Patients treated for more than one serious mental illness were assigned the most frequently treated one, and in case of ties, the one highest in the psychotic hierarchy of schizophrenia, then bipolar disorder, then posttraumatic stress disorder, then major depression. For schizophrenia and bipolar disorder, one inpatient diagnosis was equally sufficient per the VA’s National Psychosis Registry [24]. Patients with other mental illness diagnoses in the range 290-311 were identified with an indicator (yes/no). Conditions specific to childhood (312-319) were not assessed being rare in veteran databases [25].

Other measures

Covariates were chosen to adjust for baseline differences in physiologic reserve and socioeconomic status to the extent possible in the administrative medical data. Diagnosis codes from inpatient and outpatient records informed the summary measures of comorbidity over the one-year period before the date of the qualifying operation. The Charlson score of weighted indicators of 19 conditions associated with post-discharge one-year mortality [26, 27] and the Selim score of chronic physical conditions [28] as operationalized in VA administrative data by Pugh and colleagues [29] were both created. The Charlson contains 12 of the conditions captured by Selim physical, therefore they cannot be used in multivariable models together, however it is useful to assess the level of mortal conditions patients may have preoperatively. The Selim score of mental illness was not created as it contains most of the conditions VA categorizes as serious mental illness and therefore cannot be used in models containing the indicators for schizophrenia, bipolar disorder, PTSD, and major depression. Adverse outcomes included myocardial infarct, thromboembolytic events, pneumonia, respiratory failure, sepsis, wound infections and other postoperative complications per ICD-9 codes on inpatient records; readmission within 30 days of discharge; and death per the VHA Mini-Vitals file. This file of VHA patients’ dates of death has been validated against the National Death Index and demonstrated ~98 % sensitivity [30].

Demographics were collected from the administrative data extracts and aggregated to create indicators of Hispanic ethnicity, most commonly reported race, marital status and Census region in the year of index surgery. Previous studies have demonstrated imbalances in the distribution of surgeons, procedures, and postoperative mortality by geographic location hence we controlled for region [31–34]. Both race and ethnicity measures suffer from high levels of missing data in VA outpatient records. Age, gender and VA priority status were based on enrolment files. Because the VA preferentially enrols the most disadvantaged veterans and annually cares for about 5.5 million of the 22 million veterans living, a code for VA priority was established to determine eligibility to receive VA care and assessment of copays. Priority status is associated with both socioeconomic status and severity of illness acquired during military service [35]. In addition, because Priority one patients have no copays, priority measures one aspect of access to care [36]. Priority status includes (1) at least 50 % disabled by a military service-connected condition and no copays for care or drugs; (2-6) up to 40 % service-connected disability, special wartime cohorts such as those from Operations Enduring Freedom and Iraqi Freedom (OEF/OIF), catastrophically disabled, and impoverished, with pharmacy copays; and (7-8) other veterans agreeing to copays for both care and drugs.

Analysis

The analyses examined the cohort of inpatient surgery patients and compared them to non-surgery patients using the VA during the same years, FY2006-FY2009. Descriptive and comparative statistics illustrated the types of procedures performed, the patients undergoing each type of operation, and postoperative readmission rates for patients with and without serious mental illness. Chi-square tests and analysis of variance assessed bivariate differences with a criterion alpha of .05. Logistic regression modelled relative odds of receipt of surgery in the total sample, as a function of SMI adjusting for clinical and demographic covariates. Covariates were gender, age, race including an indicator for missing data on race to retain full sample, region, priority 1 status, Selim chronic physical disease score, and indicators for nicotine dependence, obesity and dyslipidemia. Model fit was assessed by the c-statistic, which ranges from 0.5 (no better than chance) to 1.0 (perfect fit). Results were reported as odds ratio with 95 % confidence interval (OR [CI]). Odds ratios greater than 1.67 (i.e., a ratio of 4:3) or smaller than 0.75 (3:4) suggest a medium effect, and those greater than 2 (2:1) or smaller than 0.5 (1:2) denote a large effect [37]. The values between 0 and 1 (fractional values) represent “protective” effects or inverse associations with the outcome while values greater than one represent risk factors or positive associations with the outcome.

Results

Over the 4-year period, the VA treated 7,150,127 veterans (priority 1-8), including 321,131 undergoing a major surgery qualifying for this study. The number of VA patients with serious mental illness totalled 907,088. The most common serious mental illness was PTSD, affecting 7 % of patients overall or having major surgery. The major surgery patients utilized a total of 3,814,994 inpatient days for the operations described; many went on to have additional admissions during the 4-year study period. More than half (56 %) of these inpatient days attributed to the index admission were consumed by the 7 % of the surgery sample (23,201 patients) with stays of 30 or more days (mean 92.8, SD 126.6). The average length of stay for the other 93 % of major surgery patients was 5.6 days (SD 5.6). Among the surgery patients, veterans of the Iraq and Afghanistan wars comprised 1 % (3016 persons); however, among the surgery patients with preoperative serious mental illness, the Iraq/Afghanistan veterans comprised 3 % (1342). Conversely, 31 % of Iraq/Afghanistan veterans undergoing surgery had preoperative serious mental illness compared to 14 % of surgery patients from other military cohorts.

Differences by surgery vs non-surgery status

Surgery patients were more likely to be older, male, unmarried, African-American, impoverished, highly disabled, with a pre-existing psychotic disorder, and obese (all p < .05; see Table 1). Surgery patients had higher levels of chronic disease per Selim Physical but not of Charlson conditions. Eligibility for VA care was granted for poverty status to 39 % of surgery patients but 32 % of non-surgery patients. Being disabled 50-100 % (Priority 1) characterized 23 % of surgery patients and 12 % of non-surgery patients. These two priority categories described more than 60 % of surgery patients compared to 44 % of non-surgery patients. Non-surgery patients were more likely to have missing data on race (30 % vs 5 %) because inpatient data has more complete race data capture. The proportion of surgery patients with serious mental illness was 14 % vs 12 % non-surgery patients, with higher proportions of schizophrenia and bipolar disorder but comparable proportions of PTSD and MDD relative to non-surgery patients (Table 1).

Table 1 Characteristics of surgery and non-Surgery VA patients, fiscal years 2006-2009
Full size table

Differences by serious mental illness status

Among the 321,131 surgery patients, 45,397 had been diagnosed with serious mental illness before their index operation. The overall rate of surgery among patients without mental illness was 4.5 %, significantly less than the 5.2 % surgery rate observed among patients with serious mental illness (p < .0001). There were significantly more women in the serious mental illness surgery groups (6 %-15 %) than in the non-mental illness surgery group (4 %) especially in the MDD and bipolar disorder groups (see Table 2). While women are more likely to have mental disorders such as bipolar disorder or depression [38], as veterans they are also more likely to come from more recent cohorts because of trends in military recruitment; they were therefore younger as a group. The surgery patients with serious mental illness were younger overall than the non-mental illness surgery patients: mean ages 56 to 60 years for our four serious mental illnesses vs. 65 years for other surgery patients (F = 2419.1; df = 4, 321126; p < .0001). Patients with serious mental illness were more likely to have a history of nicotine dependence (55-64 %) than other patients (46 %; p < .0001). Adverse outcomes varied somewhat by serious mental illness, with schizophrenia having the highest rates but no consistent pattern among the other groups (Table 2).

Table 2 Characteristics of VA surgery patients with or without serious mental illness, FY2006-FY2009 (N = 321,131)
Full size table

Race/ethnicity differences were apparent but did not reflect a dichotomy with respect to serious mental illness; rather, patients with schizophrenia were more likely to be African-American or Hispanic compared to all other groups. Patients with conditions with psychotic features, i.e., schizophrenia or bipolar disorder, were less likely to be married than other patients. Regional differences were also evident, with higher concentrations of seriously mentally ill patients in the Northeast and West relative to other surgery patients. Finally, patients with serious mental illness had similar levels of diagnosed comorbidity with the exception of obesity which was relatively more common among mentally ill surgery patients.

Types of operations

Over the 4-year study period, some of the most common types of surgery, accounting for at least 10 % of major operations, were digestive, vascular, hip-knee, lung-chest (non-cancer), and urogenital (see Table 3). Rates of CABG and vascular operations were lower among patients with serious mental illness especially those with schizophrenia. On the other hand, patients with schizophrenia were more likely to have operations to the skin and lungs/chest, and amputations such as partial foot removal.

Table 3 Relative rates of different types of inpatient operations for VA patients with vs without serious mental illness, FY2006-FY2009 (N = 321,131 Patients)
Full size table

Receipt of surgery

From the VHA system, 7,150,232 were analyzed. In the unadjusted model of receipt of major surgery as a function of serious mental illness, patients with schizophrenia (OR = 1.61 [CI 1.57-1.65]) or bipolar disorder (OR = 1.44 [1.40-1.47]) were more likely to have surgery; those with PTSD or major depression were marginally more likely to receive surgery (OR = 1.08 [1.07-1.10] for PTSD; OR = 1.04 [1.02-1.07] for depression). However, in adjusted models, patients with any serious mental illness were much less likely to receive major surgery, all other factors being equal (adjusting for demographic and clinical correlates, odds ratios ranged from 0.24-0.31 for the four disorders (95 % CI’s 0.24-0.25 to 0.30-0.31, p < .0001; Table 4). The fit was markedly better for the adjusted model (c-statistic = 0.87 on a scale of 0.50-1.00) than for the unadjusted model (c-statistic = 0.51). About 9 % of the sample had no records that could contribute diagnosis data; omitting these patients resulted in the same estimated effect sizes but a slightly poorer fit (c-statistic = 0.86; Table 4). In short, for patients with the same demographic-comorbidity profiles, having serious mental illness was associated with less major surgery.

Table 4 Parsimonious and full adjusted models of receipt of surgery among 7,150,126 patients in the Veterans health administration showing change in direction of effect of serious mental illness
Full size table

Adverse outcomes

Preliminary models of outcomes of surgery showed poor fit, with c-statistics ranging from 0.61 to 0.73 and modest associations with serious mental illness. Future work should seek to improve the models through restriction to specific types of surgery, such as cardiac operations,[39] and the inclusion of process of care variables such as lab testing and their results, tailored to specific types of operations.

Discussion

The VA treated seven million veterans in FY2006-FY2009, including 4.5 % (321,131) who received inpatient surgical treatment; diagnostic operations and ambulatory procedures were excluded from this study. Among major surgery patients, 14 % met criteria for serious mental illness in the year prior to surgery, half of these for PTSD. In the VA, serious mental illnesses include PTSD, a diagnosis first appearing in the DMS-III in 1980. PTSD is both highly prevalent among post-combat veterans and deeply life-disturbing [40]. The frequency with which patients with serious psychiatric disorders undergo surgery appears to be largely undocumented [5]. Given the high prevalence of cardiovascular disease in patients with mental illness, strongly related to smoking and other lifestyle factors as well as some pharmaceutical side effects [41, 42], higher rates of surgical intervention among patients with serious mental illness might be expected. Yet in this comprehensive study of VA patients, operations to treat vascular disease and coronary artery blockage were relatively less common among patients with serious mental illness than among those without.

Patients with serious mental illness were much less likely to have major surgery, after controlling for age, other demographic measures, and disease burden. For patients of the same age, sex, race and comorbidity status, having a pre-existing serious mental illness conveyed a greatly decreased likelihood of surgical intervention. These patients may not be referred to surgical evaluation at the same rate, or may not present for timely referral and thus be deemed poor candidates for surgery.

Surgery patients were more likely to be highly disabled, impoverished, unmarried, and obese, relative to VA patients in general. Smoking, with its attendant cardiovascular risks, was noticeably more prevalent among surgery vs non-surgery patients although both groups showed unacceptably high rates of nicotine dependence, typical of post-military cohorts. This was seen in spite of known underreporting of tobacco histories from these administrative data which record only diagnoses and treatment rather than lifetime history [43]. Improved efforts at smoking cessation should be effected, regardless of mental disorders. Effective strategies in both smoking and dietary management have been demonstrated for patients with serious mental illness [44, 45].

To put the nature of the cohort in context, it is useful to realize that although veterans of US military service in general are healthier and wealthier than US residents overall, those veterans who use the VA are distinctly sicker and poorer [1]. Being disabled or obese is associated with poorer health status, while being married suggests both social support and potential health care coverage through a working spouse. This portrait of VA surgery patients reflects the department’s prioritization of providing care for those least likely to be able to receive care elsewhere.

Patients with serious mental illness were somewhat over-represented among surgery patients (14 %) relative to the VA patient population as a whole (12 %). These unadjusted results reflect what surgeons see in their operating rooms. The adjusted models that accounted for comorbidity reported under-representation of patients with serious mental illness among those getting surgery. This means that, for persons with equivalent levels of comorbidity, those with serious mental illnesses were less likely to get major surgical interventions. This may reflect clinician judgment that the patient would not manage postoperative care well, or patient eschewal of invasive definitive treatment, or low prioritization of addressing comorbid disease by patients and/or providers.

Veterans with high levels of service-connected disability and impoverished veterans were also relatively more likely to have major surgery. Disability, poverty, and serious mental illness often overlap: serious mental illness can be highly disabling and related to military service, and having serious mental illness greatly impedes a person’s ability to get or keep a job [46]. Taken together, these findings suggest that a lack of options coupled with reliance on the VA for care are likely the determining factors for where our most disadvantaged veterans undergo surgery. For the surgical team, including postoperative care team members, this suggests presence in the operating room of a sizable, high-risk subgroup requiring attentive follow-up to ensure good wound management and timely postoperative symptom reporting, activities some postoperative patients with serious mental illness will not be able to manage on their own. To reduce postoperative readmission with its attendant costs and increased risk of pain and death [47], innovative programs tailored to patients with serious mental illness may need to be developed and evaluated.

Post-traumatic stress disorder was strongly associated with high rates of procedures. Although veterans newly back from service in Operation Enduring Freedom (Afghanistan) or Operation Iraqi Freedom (the concluded combat actions in Iraq) are accessing the VA in large numbers, the majority of veterans being treated for PTSD are from the Vietnam Era [48], for the most part in their 60’s at the time of this study. Three percent of surgery patients were from the Iraq/Afghanistan conflicts, more than expected. The surfeit of operations and mental disorders among Iraq/Afghanistan veterans portends a long-term commitment of VA to these multiply challenged veterans, a commitment that will require careful planning to maintain VA’s high quality of care. These veterans of the Iraq/Afghanistan conflicts are the first to be admitted to VA without restriction other than deployment to hazardous arenas.

Schizophrenia in particular was associated with higher raw rates of postoperative 30-day mortality, in spite of these patients’ younger age. High comorbidity burden, disorganized and limited self-care capacity, potentially delayed presentation, and poor communication of symptoms are likely underlying factors for postoperative outcomes for these patients with psychotic illness. Our findings are thus not surprising but do suggest that follow-up care may need to be more aggressive and involve either outreach from VA or activation of caregivers for surgery patients with pre-existing serious mental illness. The data on patients with schizophrenia and bipolar disorder throughout our results fit with diminished ability to articulate symptoms (leading to lower treatment rates), while higher surgery rates associated with PTSD were consistent with comorbid pain and exposure to trauma [49].

The unhypothesized findings regarding region of the country suggested that VA patients in southern regions were more likely to have surgery, whether through choice of warmer climes during a period of declining health or endemic conditions increasing need for or provision of surgical intervention. Increased poverty and varying ethnic/racial distributions may also play a role in this result. Diagnosis with obesity was much more common in surgery patients, and obesity is known to be more common in the South [50] but this was not detectable in terms of diagnosed obesity in our surgery patients (results not shown). Understanding regional variation warrants careful examination in a future study.

Limitations of the study included reliance on VA data; data from out-of-system operations were not included. Results may not apply to persons with mental illness covered by private health insurance. The study relied on administrative data which do not designate operations as emergent, urgent, or elective. Serious mental illness was dependent on administrative coding which may misclassify some cases. It is possible that some underlying condition led to development of both prior-year serious mental illness and also the index surgery; lengthening the look-back period could address this issue but would restrict the sample with serious mental illness and reduce generalizability regarding proportions of VA patients at increased postoperative risk. In addition, the primary operation was not identified when a patient had multiple procedures on the same date.

Conclusions

This is the first major study to look at system-wide rates of VA inpatient surgical treatment and its variation by serious mental illness. The findings supplement VASQIP data and enhance our understanding of not only surgery prevalence in the VA but factors associated with receipt of surgery among veterans. Further work of the STOPP project will examine other issues, including disparity by serious mental illness or other factors and outcomes of specific types of surgeries, and will delve into infrequently studied areas such as long-term outcomes of surgery. Policy implications include increased postoperative surveillance of patients with serious mental illness and perhaps greater availability and use of home health services or transitional care facilities such as long-term acute care.

References

  1. Morgan RO, Teal CR, Reddy SG, Ford ME, Ashton CM. Measurement in Veterans Affairs Health Services Research: veterans as a special population. Health Serv Res. 2005;40(5 Pt 2):1573–83.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Khuri SF, Daley J, Henderson W, Hur K, Demakis J, Aust JB, Chong V, Fabri PJ, Gibbs JO, Grover F, Hammermeister K, Irvin G, 3rd, McDonald G, Passaro E, Jr, Phillips L, Scamman F, Spencer J, Stremple JF. The Department of Veterans Affairs’ NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program. Ann Surg. 1998;228(4):491–507.

  3. Fink AS, Campbell Jr DA, Mentzer Jr RM, Henderson WG, Daley J, Bannister J, Hur K, Khuri SF. The National Surgical Quality Improvement Program in non-veterans administration hospitals: initial demonstration of feasibility. Ann Surg. 2002;236(3):344–53. discussion 353-344.

  4. VA Directive 2012-002 Re-engaging Veterans with Serious Mental Illness in Treatment [http://www1.va.gov/vhapublications/ViewPublication.asp?pub_ID=2476]

  5. Copeland LA, Zeber JE, Pugh MJ, Mortensen EM, Restrepo MI, Lawrence VA. Postoperative complications in the seriously mentally ill: a systematic review of the literature. Ann Surg. 2008;248(1):31–8.

    Article  PubMed  Google Scholar 

  6. Matsuki A, Oyama T, Izai S, Zsigmond EK. Excessive mortality in schizophrenic patients on chronic phenothiazines treatment. Agressologie. 1972;13(6):407–18.

    CAS  PubMed  Google Scholar 

  7. Daumit GL, Pronovost PJ, Anthony CB, Guallar E, Steinwachs DM, Ford DE. Adverse events during medical and surgical hospitalizations for persons with schizophrenia. Arch Gen Psychiatry. 2006;63(3):267–72.

    Article  PubMed  Google Scholar 

  8. Cooke BK, Magas LT, Virgo KS, Feinberg B, Adityanjee A, Johnson FE. Appendectomy for appendicitis in patients with schizophrenia. Am J Surg. 2007;193(1):41–8.

    Article  PubMed  Google Scholar 

  9. Kudoh A, Takahira Y, Katagai H, Takazawa T. Cortisol response to surgery and postoperative confusion in depressed patients under general anesthesia with fentanyl. Neuropsychobiology. 2002;46(1):22–6.

    Article  CAS  PubMed  Google Scholar 

  10. Kudoh A, Takase H, Takahira Y, Katagai H, Takazawa T. Postoperative confusion in schizophrenic patients is affected by interleukin-6. J Clin Anesth. 2003;15(6):455–62.

    Article  CAS  PubMed  Google Scholar 

  11. Abrams TE, Vaughan-Sarrazin M, Rosenthal GE. Influence of psychiatric comorbidity on surgical mortality. Arch Surg. 2010;145(10):947–53.

    Article  PubMed  Google Scholar 

  12. Liao CC, Shen WW, Chang CC, Chang H, Chen TL. Surgical adverse outcomes in patients with schizophrenia: a population-based study. Ann Surg. 2013;257(3):433–8.

    Article  PubMed  Google Scholar 

  13. Brown S, Inskip H, Barraclough B. Causes of the excess mortality of schizophrenia. Br J Psychiatry. 2000;177:212–7.

    Article  CAS  PubMed  Google Scholar 

  14. Kreyenbuhl J, Dickerson FB, Medoff DR, Brown CH, Goldberg RW, Fang L, Wohlheiter K, Mittal LP, Dixon LB. Extent and management of cardiovascular risk factors in patients with type 2 diabetes and serious mental illness. J Nerv Ment Dis. 2006;194(6):404–10.

  15. Wildgust HJ, Hodgson R, Beary M. The paradox of premature mortality in schizophrenia: new research questions. J Psychopharmacol. 2010;24(4 Suppl):9–15.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Goldman LS. Medical illness in patients with schizophrenia. J Clin Psychiatry. 1999;60 Suppl 21:10–5.

    PubMed  Google Scholar 

  17. Bernstein GM, Offenbartl SK. Adverse surgical outcomes among patients with cognitive impairments. Am Surg. 1991;57(11):682–90.

    CAS  PubMed  Google Scholar 

  18. Kressin NR, Chang BH, Hendricks A, Kazis LE. Agreement between administrative data and patients’ self-reports of race/ethnicity. Am J Public Health. 2003;93(10):1734–9.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Szeto HC, Coleman RK, Gholami P, Hoffman BB, Goldstein MK. Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic. Am J Manag Care. 2002;8(1):37–43.

    PubMed  Google Scholar 

  20. Borzecki AM, Wong AT, Hickey EC, Ash AS, Berlowitz DR. Can we use automated data to assess quality of hypertension care? Am J Manag Care. 2004;10(7 Pt 2):473–9.

    PubMed  Google Scholar 

  21. Frayne SM, Miller DR, Sharkansky EJ, Jackson VW, Wang F, Halanych JH, Berlowitz DR, Kader B, Rosen CS, Keane TM. Using administrative data to identify mental illness: what approach is best? Am J Med Qual. 2010;25(1):42–50.

  22. 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.

    Article  PubMed  Google Scholar 

  23. Townsend L, Walkup JT, Crystal S, Olfson M. A systematic review of validated methods for identifying depression using administrative data. Pharmacoepidemiol Drug Saf. 2012;21 Suppl 1:163–73.

    Article  PubMed  Google Scholar 

  24. Blow FC, McCarthy JF, Valenstein M, Austin K, Gillon L: Care for Veterans with Psychosis in the VHA, FY04: 6th Annual National Psychosis Registry Report. Ann Arbor, MI: VA National Serious Mental Illness Treatment Research and Evaluation Center [SMITREC]; 2005.

  25. Copeland LA, Ettinger AB, Zeber JE, Gonzalez JM, Pugh MJ. Psychiatric and medical admissions observed among elderly patients with new-onset epilepsy. BMC Health Serv Res. 2011;11:84.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.

    Article  CAS  PubMed  Google Scholar 

  27. Deyo RA, Cherkin DC, Ciol MA. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45(6):613–9.

    Article  CAS  PubMed  Google Scholar 

  28. Selim AJ, Fincke G, Ren XS, Lee A, Rogers WH, Miller DR, Skinner KM, Linzer M, Kazis LE. Comorbidity assessments based on patient report: results from the Veterans Health Study. J Ambul Care Manage. 2004;27(3):281–95.

  29. Pugh MJ, Copeland LA, Zeber JE, Cramer JA, Amuan ME, Cavazos JE, Kazis LE:. The impact of epilepsy on health status among younger and older adults. Epilepsia. 2005;46(11):1820–7.

  30. Sohn MW, Arnold N, Maynard C, Hynes DM. Accuracy and completeness of mortality data in the Department of Veterans Affairs. Popul Health Metr. 2006;4:2.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Birkmeyer JD, Sharp SM, Finlayson SR, Fisher ES, Wennberg JE. Variation profiles of common surgical procedures. Surgery. 1998;124(5):917–23.

    Article  CAS  PubMed  Google Scholar 

  32. Sheldon GF. Access to care and the surgeon shortage: American Surgical Association forum. Ann Surg. 2010;252(4):582–90.

    PubMed  Google Scholar 

  33. Sirinek KR, Willis R, Stewart RM. Geographic maldistribution of general surgery PGYI residents: another US surgical desert. Am J Surg. 2014;208(6):1023–8. discussion 1027-1028.

    Article  PubMed  Google Scholar 

  34. Swanson RS, Pezzi CM, Mallin K, Loomis AM, Winchester DP. The 90-day mortality after pancreatectomy for cancer is double the 30-day mortality: more than 20,000 resections from the national cancer data base. Ann Surg Oncol. 2014;21(13):4059–67.

    Article  PubMed  Google Scholar 

  35. Kazis LE, Miller DR, Clark J, Skinner K, Lee A, Rogers W, Spiro A, 3rd, Payne S, Fincke G, Selim A, Linzer M. Health-related quality of life in patients served by the Department of Veterans Affairs: results from the Veterans Health Study. Arch Intern Med. 1998;158(6):626–32.

  36. Zeber JE, Grazier KL, Valenstein M, Blow FC, Lantz PM. Effect of a medication copayment increase in veterans with schizophrenia. Am J Manag Care. 2007;13(6 Pt 2):335–46.

    PubMed  Google Scholar 

  37. Wickens TD. Multiway Contingency Tables Analysis for the Social Sciences. Hillsdale, NJ, USA: Erlbaum; 1989.

    Google Scholar 

  38. Rundell JR. Demographics of and diagnoses in Operation Enduring Freedom and Operation Iraqi Freedom personnel who were psychiatrically evacuated from the theater of operations. Gen Hosp Psychiatry. 2006;28(4):352–6.

    Article  PubMed  Google Scholar 

  39. Copeland LA, Sako EY, Zeber JE, Pugh MJ, Wang CP, MacCarthy AA, Restrepo MI, Mortensen EM, Lawrence VA. Mortality after cardiac or vascular operations by preexisting serious mental illness status in the Veterans Health Administration. Gen Hosp Psychiatry. 2014;36(5):502–8.

  40. Gros DF, Strachan M, Ruggiero KJ, Knapp RG, Frueh BC, Egede LE, Lejuez CW, Tuerk PW, Acierno R. Innovative service delivery for secondary prevention of PTSD in at-risk OIF-OEF service men and women. Contemp Clin Trials. 2011;32(1):122–8.

  41. Findley P, Shen C, Sambamoorthi U. Multimorbidity and persistent depression among veterans with diabetes, heart disease, and hypertension. Health Soc Work. 2011;36(2):109–19.

    Article  PubMed  Google Scholar 

  42. Khatana SA, Kane J, Taveira TH, Bauer MS, Wu WC. Monitoring and prevalence rates of metabolic syndrome in military veterans with serious mental illness. PLoS One. 2011;6(4):e19298.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Copeland LA, Mortensen EM, Zeber JE, Pugh MJ, Restrepo MI, Dalack GW. Pulmonary disease among inpatient decedents: Impact of schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry. 2007;31(3):720–6.

    Article  PubMed  Google Scholar 

  44. Evins AE, Cather C, Deckersbach T, Freudenreich O, Culhane MA, Olm-Shipman CM, Henderson DC, Schoenfeld DA, Goff DC, Rigotti NA. A double-blind placebo-controlled trial of bupropion sustained-release for smoking cessation in schizophrenia. J Clin Psychopharmacol. 2005;25(3):218–25.

  45. Daumit GL, Dickerson FB, Wang NY, Dalcin A, Jerome GJ, Anderson CA, Young DR, Frick KD, Yu A, Gennusa JV 3rd, Oefinger M, Crum RM, Charleston J, Casagrande SS, Guallar E, Goldberg RW, Campbell LM, Appel LJ. A behavioral weight-loss intervention in persons with serious mental illness. N Engl J Med. 2013;368(17):1594–602.

  46. Nelson RE, Kim J. The impact of mental illness on the risk of employment termination. J Ment Health Policy Econ. 2011;14(1):39–52.

    PubMed  Google Scholar 

  47. Ricciardi R, Roberts PL, Read TE, Baxter NN, Marcello PW, Schoetz DJ. Mortality rate after nonelective hospital admission. Arch Surg. 2011;146(5):545–51.

    Article  PubMed  Google Scholar 

  48. Hermes ED, Rosenheck RA, Desai R, Fontana AF. Recent trends in the treatment of posttraumatic stress disorder and other mental disorders in the VHA. Psychiatr Serv. 2012;63(5):471–6.

    Article  PubMed  Google Scholar 

  49. Lew HL, Otis JD, Tun C, Kerns RD, Clark ME, Cifu DX. Prevalence of chronic pain, posttraumatic stress disorder, and persistent postconcussive symptoms in OIF/OEF veterans: polytrauma clinical triad. J Rehabil Res Dev. 2009;46(6):697–702.

    Article  PubMed  Google Scholar 

  50. Voeks JH, McClure LA, Go RC, Prineas RJ, Cushman M, Kissela BM, Roseman JM. Regional differences in diabetes as a possible contributor to the geographic disparity in stroke mortality: the REasons for Geographic And Racial Differences in Stroke Study. Stroke. 2008;39(6):1675–80.

Download references

Acknowledgements

This research was supported by the Veterans Health Administration, Health Services Research & Development grant #IIR-09-335 (Copeland-PI), with additional support from Center for Applied Health Research jointly sponsored by Central Texas Veterans Health Care System, Temple, Texas and Scott & White Healthcare, Temple, Texas; VERDICT Research Center at South Texas Veterans Health Care System, San Antonio, Texas; and North Texas Veterans HCS - Dallas VA Medical Center.

Author information

Authors and Affiliations

  1. Veterans Affairs: Central Texas Veterans Health Care System, Center for Applied Health Research, 2102 Birdcreek Drive, Temple, TX, 76502, USA

    Laurel A. Copeland & John E. Zeber

  2. Baylor Scott & White Health: Center for Applied Health Research, 2102 Birdcreek Drive, Temple, TX, 76502, USA

    Laurel A. Copeland & John E. Zeber

  3. Texas A&M Health Science Center, College of Medicine, Bryan, TX, USA

    Laurel A. Copeland & John E. Zeber

  4. UT Health Science Center San Antonio, San Antonio, TX, USA

    Laurel A. Copeland, John E. Zeber, Edward Y. Sako, Mary Jo Pugh, Chen-Pin Wang, Marcos I. Restrepo & Valerie A. Lawrence

  5. Veterans Affairs: North Texas Veterans Health Care System, 4500 S. Lancaster Rd, Dallas, TX, 75216, USA

    Eric M. Mortensen

  6. UT Southwestern Medical Center, Dallas, TX, USA

    Eric M. Mortensen

  7. Veterans Affairs: South Texas Veterans Health Care System, 7400 Merton Minter (11c6), San Antonio, TX, 78229, USA

    Mary Jo Pugh, Chen-Pin Wang, Marcos I. Restrepo, Julianne Flynn & Andrea A. MacCarthy

Authors
  1. Laurel A. Copeland
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. John E. Zeber
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Edward Y. Sako
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Eric M. Mortensen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mary Jo Pugh
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Chen-Pin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Marcos I. Restrepo
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Julianne Flynn
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Andrea A. MacCarthy
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Valerie A. Lawrence
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Laurel A. Copeland.

Additional information

Competing interests

Authors declare no conflicts of interests beyond employment by and receipt of grant support from the institution under study (Veterans Health Administration). The funders had no role in the conduct of the study or in the preparation of this report. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs.

Authors’ contributions

Authors made appropriate contributions to the paper. LAC conceptualized and conducted the study, acquired data, contributed to variable development and verification, organized the analyses, drafted the paper, and finalized the draft. EYS (clinician, surgeon) and VAL (clinician, perioperative) contributed to variable development, interpreted results in the surgical setting, contributed to the writing and reviewed the final draft. CPW contributed to study design and variable development, proposed analytic approaches and contributed to the interpretation of results. EMM (clinician, infectious diseases), MIR (clinician, ICU), and JF (clinician, psychiatrist) contributed to study design, variable development, and clinical implications. MJP and JEZ informed study design, analysis, and manuscript organization. AAM contributed to data acquisition, variable development and verification, analysis, and description of results. All authors reviewed and approved the final draft and take responsibility for the study results reported. All authors read and approved the final manuscript.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Copeland, L.A., Zeber, J.E., Sako, E.Y. et al. Serious mental illnesses associated with receipt of surgery in retrospective analysis of patients in the Veterans Health Administration. BMC Surg 15, 74 (2015). https://doi.org/10.1186/s12893-015-0064-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12893-015-0064-7

Keywords

BMC Surgery

ISSN: 1471-2482

Contact us