Abstract
Comorbid anxiety and depression predict a poorer prognosis than either disorder occurring alone. It is unclear whether self-reported anxiety symptom scores identify patients with depression in need of more intensive mental health services. This study evaluated how anxiety symptoms predicted treatment receipt and outcomes among patients with new depression diagnoses in the Veterans Health Administration (VHA). Electronic medical record data from 128,917 VHA patients (71.6% assessed for anxiety, n = 92,237) with new diagnoses of depression were analyzed to examine how Generalized Anxiety Disorder-7 (GAD-7) scores predicted psychotropic medication prescriptions, psychotherapy receipt, acute care service utilization, and follow-up depression symptoms. Patients who reported severe symptoms of anxiety were significantly more likely to receive adequate acute phase and continuation phase antidepressant treatment, daytime anxiolytics/sedatives, nighttime sedative/hypnotics, and endorse more severe depression symptoms and suicidal ideation at follow-up. Patients who reported severe symptoms of anxiety at baseline were less likely to initiate psychotherapy. The GAD-7 may help identify depressed patients who have more severe disease burden and require additional mental health services.
Keywords: Screening, Anxiety symptoms, Care utilization, Veterans, Comorbidity, Depression
1. Introduction
Depressive disorders are one of the most prevalent psychiatric conditions among Veterans (Trivedi et al., 2015). Anxiety is commonly comorbid with depression among Veterans (Pfeiffer et al., 2009; Trivedi et al., 2015), and comorbid anxiety is associated with functional impairment (Ziobrowski et al., 2021), suicide mortality (Pfeiffer et al., 2009), and all-cause mortality (Phillips et al., 2009). Comorbid anxiety with depression typically predicts poorer depression prognosis and treatment resistance compared to depressed patients without identified anxiety disorders (Coplan et al., 2015). Although recent U.S. Preventative Services Taskforce guidelines recommend routine screening for anxiety in addition to depression (US Preventive Services Task Force et al., 2023), whether anxiety screens obtained at the point of care can help identify treatment needs and illness burden among patients with depression is not known.
Irrespective of depression, anxiety disorders among Veterans are associated with increased use of various mental health services, including substance use disorder clinics (Milanak et al., 2013), hospitalizations (Trivedi et al., 2015), and emergency department (ED) visits (Trivedi et al., 2015). Among Veterans with depression, patients with comorbid PTSD utilize mental health services, both psychotherapy and medication, at greater rates than patients without PTSD (Chan et al., 2009; Kramer et al., 2003; Maguen et al., 2012; Nichter et al., 2019) indicating a greater burden of illness. Although PTSD and anxiety disorders differ slightly in symptom presentation, prognosis, and preferred treatment choice (Bandelow et al., 2017; Ginzburg et al., 2010; Rauch and Foa, 2006; Trivedi et al., 2015), it is likely that comorbid anxiety disorders also confer higher burden of illness and therefore greater treatment need, but this has not yet been determined.
When quantifying the impact of comorbid anxiety on care process and outcomes for patients with depression, previous Veterans Health Administration (VHA) studies have relied on anxiety disorder diagnoses reported in medical records. However, it is important to also examine self-reported anxiety symptoms, given patients may experience anxiety without a recognized diagnosis (Roberge et al., 2015; Wittchen et al., 2002) and anxiety symptoms fluctuate over time (Saulnier et al., 2022). The Generalized Anxiety Disorder-7 (GAD-7; Spitzer et al., 2006) is a self-report measure that assesses generalized anxiety symptoms that is widely used in VHA (Liebmann et al., 2022). The GAD-7 has been well-validated as a screening measure for generalized anxiety disorder (GAD) as well as other anxiety disorders (Plummer et al., 2016; US Preventive Services Task Force et al., 2023). In non-VHA settings, findings are mixed regarding whether GAD-7 scores predict increased healthcare service utilization (Ruiz et al., 2011; Shippee et al., 2014) or are unrelated (Chikovani et al., 2015; Lowe et al., 2016; Sarkar et al., 2015; Springer et al., 2023). Regarding treatment outcomes, studies have found that higher GAD-7 scores are associated with increased depression symptoms (Kunkle et al., 2021; Shippee et al., 2014). However, no study has examined the influence of patient-reported anxiety symptoms on longitudinal markers of care receipt and outcomes among a national cohort of VHA patients with depression to inform screening practices and treatment guidelines.
We used data from a large national cohort of VHA patients with newly diagnosed depressive disorders to identify patient-level factors associated with the likelihood of completing a GAD-7. We then examined whether anxiety symptoms were associated with psychotropic medication receipt, psychotherapy receipt, acute care service utilization (i.e., inpatient psychiatric stays, ED visits), and depression symptom scores at follow-up (within eight months). We hypothesized that patients with more severe anxiety would have increased psychotropic medication receipt, psychotherapy utilization, acute care service utilization, and report more severe depression symptoms at follow-up.
2. Method
2.1. Data source
Data for this retrospective cohort study were obtained from the VHA Corporate Data Warehouse, which contains demographic information, medical record diagnoses, and treatment receipt information for all VHA patients. The study procedures were approved by the VA Ann Arbor Healthcare System’s Institutional Review Board.
2.2. Sample
VHA patients were included if they had a diagnosis of a depressive disorder (ICD-10 codes: F32.0–F32.5, F32.9, F33.0–F33.3, F33.40–F33.42, F33.9, F34.1) in outpatient or inpatient records between January 1, 2018 and December 31, 2020, and also received a Patient Health Questionnaire-9 (PHQ-9; Kroenke et al., 2001) score indicating at least moderate depressive symptoms (score ≥10) within 30 days of their first depression diagnosis. Patients were assigned an index date corresponding to the first depression diagnosis date with a positive PHQ-9 score during the study period. Exclusionary criteria included a diagnosis of bipolar disorder or schizoaffective disorder with a bipolar-type specifier in the 12 months prior to the index date. To capture new episodes of depression, patients also were excluded if they had a depressive disorder diagnosis or received an antidepressant prescription in the 12 months prior to their index date, or had a positive PHQ-9 or PHQ-2 score (score ≥3) in the 12 months to 30 days prior to their index date. Finally, patients with >30 inpatient days during the acute or continuation phase of antidepressant use (defined below) were excluded.
2.3. Measures
2.3.1. Anxiety symptoms
Anxiety symptoms were assessed as part of routine outpatient care via the GAD-7 (Spitzer et al., 2006), a 7-item self-report questionnaire that assesses symptoms of generalized anxiety. Items are rated on a 4-point Likert-type scale ranging from 0 to 3. We used recommended GAD-7 cutoffs to identify patients with minimal anxiety (scores 0–4), mild anxiety (scores 5–9), moderate anxiety (scores 10–14), and severe anxiety (scores ≥15).1 GAD-7 administrations within 30 days of the patient’s index date were included. The first GAD-7 was used for patients who completed multiple GAD-7s.
2.3.2. Depression symptoms
Depression symptoms were assessed as part of routine outpatient care via the PHQ-9 (Kroenke et al., 2001), a 9-item self-report questionnaire that assesses depression symptoms. Items are rated on a 4-point Likert-type scale ranging from 0 to 3. Given that we excluded patients with less-than-moderate scores on the PHQ-9 (scores <10), we classified patients as having either moderate (scores 10–14) or severe depression (scores ≥15) based on recommended cutoffs.2
2.3.3. Measures of treatment process and quality
For patients who received the GAD-7, we evaluated the impact of anxiety symptoms on medication receipt, including antidepressants, daytime anxiolytics/sedatives, and nighttime sedative/hypnotics (see Supplementary Table 1). The quality of antidepressant care was evaluated using metrics presented in the Healthcare Effectiveness Data and Information Set (HEDIS). We examined adequate acute-phase treatment, defined as receiving an antidepressant prescription within 90 days of the depression diagnosis that provided medication for at least 84 of the 114 days following the initial prescription. We also examined adequate continuation-phase treatment, defined as continuing antidepressant medication for 180 of the 231 days following the initial prescription. We also examined daytime anxiolytic/sedative receipt initiated within 90 days of the index date that included at least 30 days of coverage. Prescriptions were excluded from the daytime anxiolytic/sedative variable if the instructions were for sleep or if the medication was to only be taken at bedtime. Nighttime sedative/hypnotics receipt was also examined and included sedatives initiated within 90 days of index depression diagnosis that included at least 30 days of coverage.
We examined psychotherapy receipt using quality-of-care measures developed to be conceptually similar to medication-based HEDIS measures (Levine et al., 2017). Psychotherapy initiation was defined as one psychotherapy encounter within 90 days of the index date (inclusive of all forms of psychotherapy). Psychotherapy engagement was defined as at least three psychotherapy sessions occurring in the 12 weeks following the first psychotherapy session (Pfeiffer et al., 2023). Psychotherapy visits were included if they had depression as a primary or secondary diagnosis. We limited psychotherapy stop codes to those consistent with clinics in which psychotherapy is commonly provided for affective disorders in VA, consisting of the general Mental Health Clinic (MHC), Primary Care - Mental Health Integration (PCMHI), and the specialty PTSD Clinical Team (PCT) settings.
Inpatient psychiatric stays and ED visits within 12 months of the index date were also examined. ED visits were limited to those that included a mental health diagnosis assigned during the encounter. Finally, changes in depression symptom scores were assessed using PHQ-9 scores collected during the 8-months following the index date using established criteria (Panaite et al., 2019). For patients who had multiple PHQ-9s during this period, the follow-up scores were prioritized in the following manner: 1) the first available PHQ-9 score during the 4–8-month period, and 2) the last available PHQ-9 score during the 1–4-month period. These procedures were used to assess depression symptoms during the time-period proposed by the National Committee on Quality Assurance for the HEDIS measure of depression symptom response. Patients who did not receive a follow-up PHQ-9 were excluded from analyses examining subsequent depression symptom scores. To evaluate the impact of anxiety symptoms on suicidal ideation, analyses separately examined predictors of overall scores and the ninth item of the PHQ-9 (reflecting suicidal ideation).
2.3.4. Covariates
Covariates extracted from the medical record included demographic characteristics (i.e., age, sex, race, ethnicity, rurality, service connection), comorbid mental health diagnoses in the year prior to the index date (PTSD, GAD, other anxiety, alcohol/substance use disorder), and medical comorbidities (using a modified Elixhauser comorbidity score after excluding mental health conditions; Elixhauser et al., 1998). Service connection is a disability rating, with Veterans who are service connected at ≥50% being eligible for no-cost healthcare and prescription medications. The clinical settings in which patients received care during the 12 months prior to the index date and/or the 30-days following the index date were also identified (i.e., primary care only, PCMHI, MHC, PCT). Finally, patients were assigned to a single VHA administrative parent facility in a hierarchical approach: 1) facility of their most recent mental health visit, 2) facility of their most recent primary care visit, 3) facility of most frequent VHA use in 2018–2020. Facility type included Veterans Affairs Medical Center (VAMC), community-based outpatient clinic (CBOC), and other sites.
2.4. Data analytic plan
All analyses were conducted using SAS Enterprise Guide version 8.3 (SAS Institute Inc, 2023). To identify patient characteristics associated with the receipt of a GAD-7, analyses were performed in the overall sample (N = 128,917) to compare patients who did and did not receive a GAD-7. For all other analyses, the sample was limited to patients who received a GAD-7 (n = 92,237).
Logistic regression models were used to examine the associations between anxiety symptoms and the receipt of the following services: 1) guideline concordant acute phase antidepressant, 2) guideline concordant continuation phase antidepressant, 3) daytime anxiolytic/sedative, 4) nighttime sedative/hypnotics, 5) any psychotherapy, 6) psychotherapy engagement, 7) psychiatric inpatient stay, and 8) ED visit. Linear regression models were also used to examine the associations between anxiety symptoms and 9) follow-up depression symptoms (PHQ-9 scores) and 10) follow-up suicidal ideation (PHQ-9 item 9 scores). Listwise deletion was used to handle missing data and resulted in dropping 84 (0.07%) of the initial sample. All models included baseline PHQ-9 scores and all covariates listed in Table 1. Given the large number of variables in the regression models, the Bonferroni procedure was used to control familywise Type I error rate for the omnibus tests, resulting in an adjusted p value of 0.003 (0.05/18). The full results from all logistic regression models can be found in Supplementary Table 2 and the full results from all linear regression models can be found in Supplementary Table 3.
Table 1.
Screening characteristics of patients with new onset depression in a Veterans Health Administration cohort.
| Screened for anxiety (N = 92,237) | Not screened for anxiety (N = 36,680) | ||||
|---|---|---|---|---|---|
| Characteristic (continuous) | M | SD | M | SD | Hedge’s G |
| Baseline PHQ-9 score | 16.9 | 4.3 | 16.7 | 4.4 | 0.0a |
| Age (years) | 46.8 | 15.6 | 47.7 | 15.9 | 0.1a |
| Characteristic (categorical) | n | % | n | % | OR |
| Sex | |||||
| Male | 75054 | 81.4 | 30365 | 82.8 | ref |
| Female | 17183 | 18.6 | 6315 | 17.2 | 1.1a |
| Race | |||||
| White | 55397 | 60.1 | 21715 | 59.2 | ref |
| American Indian/Alaskan Native | 865 | 0.9 | 365 | 1.0 | 0.9 |
| Asian/Pacific Islander/Native Hawaiian | 2944 | 3.2 | 1296 | 3.5 | 0.9a |
| Black | 24059 | 26.1 | 9911 | 27.0 | 1.0a |
| Multiracial | 1365 | 1.5 | 483 | 1.3 | 1.1 |
| Unknown | 7607 | 8.3 | 2910 | 7.9 | 1.0 |
| Ethnicity | |||||
| Hispanic | 11929 | 12.9 | 4085 | 11.1 | 1.2a |
| Non-Hispanic | 80308 | 87.1 | 32595 | 88.9 | ref |
| Geographic locality | |||||
| Rural | 20911 | 22.7 | 10090 | 27.6 | 0.8a |
| Urban | 71256 | 77.3 | 26538 | 72.5 | ref |
| Facility size | |||||
| VAMC | 45907 | 49.8 | 18241 | 49.7 | ref |
| CBOC | 35034 | 38.0 | 13652 | 37.2 | 1.0 |
| Other | 11282 | 12.2 | 4785 | 13.1 | 0.9a |
| Service connection | |||||
| 0% | 30655 | 33.2 | 12492 | 34.1 | ref |
| <50% | 36502 | 39.6 | 13607 | 37.1 | 1.1a |
| ≥50% | 25080 | 27.2 | 10581 | 28.9 | 1.0c |
| PACT only | |||||
| Yes | 281 | 0.3 | 702 | 1.9 | 0.2a |
| No | 91956 | 99.7 | 35978 | 98.1 | ref |
| PCMHI | |||||
| Yes | 76608 | 83.1 | 17592 | 48.0 | 5.3a |
| No | 15629 | 16.9 | 19088 | 52.0 | ref |
| MHC | |||||
| Yes | 50209 | 54.4 | 27097 | 73.9 | 0.4a |
| No | 42028 | 45.6 | 9583 | 26.1 | ref |
| PCT | |||||
| Yes | 4440 | 4.8 | 5112 | 13.9 | 0.3a |
| No | 87797 | 95.2 | 31568 | 86.1 | ref |
| PTSD diagnosis | |||||
| Yes | 24580 | 26.7 | 13565 | 37.0 | 0.6a |
| No | 67657 | 73.4 | 23115 | 63.0 | ref |
| GAD diagnosis | |||||
| Yes | 7967 | 8.6 | 1993 | 5.4 | 1.6a |
| No | 84270 | 91.4 | 34687 | 94.6 | ref |
| Other anxiety diagnosis | |||||
| Yes | 33747 | 36.6 | 7705 | 21.0 | 2.2a |
| No | 58490 | 63.4 | 28975 | 79.0 | ref |
| AUD/SUD diagnosis | |||||
| Yes | 14533 | 15.8 | 6894 | 18.8 | 0.8a |
| No | 77704 | 84.2 | 29786 | 81.2 | ref |
| Elixhauser comorbidity score | |||||
| 0 | 45279 | 49.1 | 18515 | 50.5 | ref |
| 1 | 22166 | 24.0 | 8101 | 22.1 | 1.1a |
| 2 | 12665 | 13.7 | 4872 | 13.3 | 1.1b |
| ≥3 | 12127 | 13.2 | 5192 | 14.2 | 1.0c |
Note. Hedge’s G is a measure of effect size with higher values indicating larger group differences. Elixhauser comorbidity score was calculated after excluding mental health conditions. PHQ-9 = Patient Health Questionnaire. VAMC = VA Medical Center. CBOC = Community-Based Outpatient Clinics. PACT = Patient Aligned Care Team. PCMHI = Primary Care - Mental Health Integration. MHC = Mental Health Clinic. PCT = PTSD Clinical Team. PTSD = Posttraumatic stress disorder. GAD = Generalized anxiety disorder. AUD = Alcohol use disorder. SUD = Substance use disorder.
p < 0.001.
p < 0.01.
p < 0.05.
3. Results
3.1. Descriptive statistics
The study cohort included 128,917 patients with a new episode of depression who also received a baseline PHQ-9 from 2018 to 2020. In the year prior to their index date, 9960 patients had been diagnosed with GAD (7.7%), 1935 with panic disorder (1.5%), 349 with agoraphobia (0.3%), 379 with social anxiety disorder (0.3%), 225 with a specific phobia (0.2%), and 39,858 with an other/unspecified anxiety disorder (30.9%). Of those patients, 71.6% completed a GAD-7 within 30 days of their index date. Table 1 compares patients who did and did not complete a GAD-7. Patients who completed a GAD-7 were more likely to be female (OR = 1.1, p = 0.001), White (versus Black and Asian/Pacific Islander/Native Hawaiian; ORs = 1.1, p’s = 0.001), Hispanic (OR = 1.2, p = 0.001), reside in urban areas (OR = 1.3, p = 0.001), have a VAMC administrative parent facility (versus another facility type; OR = 1.1, p = 0.001), be service connected between 10 and 40% (relative to 0%; OR = 1.1, p = 0.001), receive additional VHA services above primary care (OR = 6.4, p = 0.001), receive PCMHI services (OR = 5.3, p = 0.001), be diagnosed with GAD (OR = 1.6, p = 0.001), be diagnosed with an anxiety disorder other than GAD (OR = 2.2, p = 0.001), and have an Elixhauser comorbidity score of 1 (OR = 1.1, p = 0.001) or 2 (OR = 1.1, p = 0.001) versus 0. Patients with MHC (OR = 0.4, p = 0.001) or PCT utilization (OR = 0.3, p = 0.001) were less likely to receive a GAD-7, as were patients diagnosed with PTSD (OR = 0.6, p = 0.001) and AUD/SUD (OR = 0.8, p = 0.001). Patients who completed a GAD-7 were somewhat younger (Mage = 46.8, SD = 15.6) and had higher baseline PHQ-9 scores (MPHQ-9 score = 16.9, SD = 4.3) relative to patients who did not complete a GAD-7 (Mage = 47.7, SD = 15.9; MPHQ-9 score = 16.7, SD = 4.4).
A total of 92,237 patients had a new episode of depression from 2018 to 2020 and completed a GAD-7. Of these patients, 3.5% reported minimal anxiety, 14.1% reported mild anxiety, 29.1% reported moderate anxiety, and 53.3% reported severe anxiety. There was a significant positive correlation between GAD-7 scores and baseline PHQ-9 scores (r = 0.5, p = 0.001).
3.2. Logistic regression models predicting medication and psychotherapy receipt
A total of 84 patients had missing rurality (n = 70) or facility (n = 14) data and were excluded, leaving an analytic sample of 92,153 for these analyses. Results of logistic models examining predictors of medication receipt (i.e., adequate acute and continuation phase antidepressant treatment, daytime anxiolytic/sedative, nighttime sedative/hypnotics) are presented in Table 2, after controlling for baseline PHQ-9 scores and other covariates. Patients with severe anxiety were significantly more likely to receive adequate acute phase antidepressant treatment (Wald χ2 = 108.8(3) = 0.001) relative to patients with minimal anxiety (OR = 1.2, p = 0.001). Patients with moderate (OR = 1.1, p = 0.04) and severe (OR = 1.2, p = 0.001) anxiety were significantly more likely to receive continuation phase antidepressants relative to patients with minimal anxiety (Wald χ2 = 69.0(3) = 0.001). For both daytime anxiolytic/sedative medications (Wald χ2 = 269.6(3) = 0.001) and nighttime sedative/hypnotics medications (Wald χ2 = 155.3(3) = 0.001), patients were more likely to receive prescriptions if they reported moderate (OR = 1.4, p = 0.001; OR = 1.2, p = 0.002, respectively) or severe anxiety symptoms (OR = 1.8, p = 0.01; OR = 1.4, p = 0.001, respectively).
Table 2.
Logistic regression predicting medication receipt following new onset depression (n = 92,153).
| Predictors | Acute phase antidepressant | Continuation phase antidepressant | Daytime anxiolytic/sedative | Nighttime sedative/hypnotics |
|---|---|---|---|---|
| OR | OR | OR | OR | |
| Severe PHQ-9 (ref. moderate) | 1.29a | 1.23a | 1.07b | 1.22a |
| Mild GAD-7 (ref. minimal) | 0.95 | 1.00 | 1.10 | 1.08 |
| Moderate GAD-7 (ref. minimal) | 1.06 | 1.10c | 1.36a | 1.18b |
| Severe GAD-7 (ref. minimal) | 1.19a | 1.21a | 1.81a | 1.41a |
| Age (continuous) | 1.00a | 1.00 | 1.00 | 1.00 |
| Female sex (ref. male) | 1.11a | 1.13a | 1.26a | 1.08a |
| Black race (ref. White) | 0.69a | 0.58a | 0.66a | 1.21a |
| Other race (ref. White) | 0.86a | 0.80a | 0.86a | 1.03 |
| Hispanic (ref. non-Hispanic) | 0.97 | 0.97 | 0.82a | 1.22a |
| Rural (ref. urban) | 1.14a | 1.15a | 1.07b | 1.02 |
| CBOC (ref. VAMC) | 0.96b | 0.98 | 0.92a | 0.97 |
| Other facility (ref. VAMC) | 1.01 | 1.05c | 0.93c | 0.98 |
| SC ≥ 50% (ref. 0%) | 1.14a | 1.22a | 1.08b | 1.13a |
| SC <50% (ref. 0%) | 1.02 | 1.07a | 0.97 | 1.02 |
| PACT only (ref. not PACT only) | 0.83 | 0.66c | 0.96 | 0.85 |
| PCMHI (ref. no PCMHI) | 1.12a | 1.10a | 0.81a | 0.92a |
| MHC (ref. no MHC) | 1.40a | 1.39a | 1.67a | 1.60a |
| PCT (ref. no PCT) | 0.98 | 1.01 | 0.90c | 1.11b |
| PTSD (ref. no diagnosis) | 0.93a | 0.92a | 1.15a | 1.13a |
| GAD (ref. no diagnosis) | 1.11a | 1.14a | 1.65a | 1.13a |
| Other anxiety (ref. no diagnosis) | 1.02 | 1.03 | 1.55a | 1.06a |
| AUD/SUD (ref. no diagnosis) | 0.77a | 0.72a | 1.25a | 1.09a |
| Elixhauser score = 1 (ref. 0) | 1.03 | 1.09a | 1.00 | 1.01 |
| Elixhauser score = 2 (ref. 0) | 1.10a | 1.22a | 1.11b | 0.98 |
| Elixhauser score ≥3 (ref. 0) | 1.04 | 1.16a | 1.27a | 1.07c |
Note. PHQ-9 = Patient Health Questionnaire. GAD-7 = Generalized Anxiety Disorder-7. VAMC = VA Medical Center. CBOC = Community-Based Outpatient Clinics. SC = Service connection. PACT = Patient Aligned Care Team. PCMHI = Primary Care - Mental Health Integration. MHC = Mental Health Clinic. PCT = PTSD Clinical Team. PTSD = Posttraumatic stress disorder. GAD = Generalized anxiety disorder. AUD = Alcohol use disorder. SUD = Substance use disorder.
p < 0.001.
p < 0.01.
p < 0.05.
Results from logistic regression models examining predictors of psychotherapy receipt (i.e., psychotherapy initiation, psychotherapy engagement) are presented in the left two panels of Table 3. Anxiety symptoms were significantly associated with psychotherapy initiation (Wald χ2 = 54.5(3) = 0.001), such that patients with severe anxiety were less likely to initiate psychotherapy relative to patients with minimal anxiety (OR = 0.9, p = 0.04). Patients with severe anxiety symptoms were also less likely to engage in psychotherapy relative to patients with mild (OR = 0.9, p = 0.001) and moderate (OR = 0.9, p = 0.001) anxiety symptoms (Wald χ2 = 40.7(3) = 0.001).
Table 3.
Logistic regression predicting other treatment received following new onset depression (n = 92,153).
| Predictors | Psychotherapy initiation | Psychotherapy engagement | Any inpatient psychiatric stay | Any emergency department visit with MH diagnosis |
|---|---|---|---|---|
| OR | OR | OR | OR | |
| Severe PHQ-9 (ref. moderate) | 1.27a | 1.19a | 1.45a | 1.27a |
| Mild GAD-7 (ref. minimal) | 1.08 | 1.07 | 0.75c | 0.79c |
| Moderate GAD-7 (ref. minimal) | 1.00 | 1.04 | 0.77c | 0.83 |
| Severe GAD-7 (ref. minimal) | 0.92c | 0.94 | 0.88 | 0.98 |
| Age (continuous) | 1.00 | 1.00 | 0.99a | 0.99a |
| Female sex (ref. male) | 1.03 | 1.09a | 0.75a | 0.85a |
| Black race (ref. White) | 1.07a | 0.93a | 0.86b | 0.95 |
| Other race (ref. White) | 1.02 | 0.99 | 0.89 | 0.88c |
| Hispanic (ref. non-Hispanic) | 1.07b | 0.99 | 0.72a | 0.87c |
| Rural (ref. urban) | 1.01 | 1.04 | 0.96 | 0.72a |
| CBOC (ref. VAMC) | 1.11a | 0.98 | 0.55a | 0.48a |
| Other facility (ref. VAMC) | 1.25a | 1.08b | 0.82b | 0.64a |
| SC ≥ 50% (ref. 0%) | 1.10a | 1.11a | 0.60a | 0.77a |
| SC <50% (ref. 0%) | 1.12a | 1.11a | 0.67a | 0.78a |
| PACT only (ref. not PACT only) | 0.13a | 0.26a | <0.01 | 0.40 |
| PCMHI (ref. no PCMHI) | 2.17a | 1.01 | 0.55a | 0.66a |
| MHC (ref. no MHC) | 0.91a | 1.19a | 3.70a | 2.24a |
| PCT (ref. no PCT) | 0.91b | 1.15a | 1.09 | 0.87 |
| PTSD (ref. no diagnosis) | 0.71a | 0.69a | 1.11c | 1.03 |
| GAD (ref. no diagnosis) | 0.84a | 0.96 | 0.76a | 0.93 |
| Other anxiety (ref. no diagnosis) | 1.08a | 0.94a | 0.80a | 1.03 |
| AUD/SUD (ref. no diagnosis) | 0.77a | 0.71a | 2.63a | 2.20a |
| Elixhauser score = 1 (ref. 0) | 0.98 | 1.02 | 0.84b | 0.85a |
| Elixhauser score = 2 (ref. 0) | 1.01 | 1.04 | 0.82b | 0.91 |
| Elixhauser score ≥3 (ref. 0) | 1.02 | 1.01 | 0.83c | 1.14c |
Note. MH = Mental health. PHQ-9 = Patient Health Questionnaire. GAD-7 = Generalized Anxiety Disorder-7. VAMC = VA Medical Center. CBOC = Community-Based Outpatient Clinics. SC = Service connection. PACT = Patient Aligned Care Team. PCMHI = Primary Care - Mental Health Integration. MHC = Mental Health Clinic. PCT = PTSD Clinical Team. PTSD = Posttraumatic stress disorder. GAD = Generalized anxiety disorder. AUD = Alcohol use disorder. SUD = Substance use disorder.
p < 0.001.
p < 0.01.
p < 0.05.
3.3. Logistic regression models predicting acute care service utilization
Logistic regression results from models examining predictors of acute care service utilization (i.e., inpatient psychiatric stay, ED visit) are presented in the right two panels of Table 3. After adjusting for multiple comparisons, anxiety symptoms were not significantly associated with inpatient psychiatric service receipt (Wald χ2 = 10.4(3) = 0.02). Patients with mild anxiety were significantly less likely (Wald χ2 = 22.5(3) = 0.001) to visit the ED relative to patients with minimal anxiety (OR = 0.8, p = 0.03).
3.4. Linear regression models predicting depression symptoms and suicidal ideation scores after the index date
A total of 5417 patients did not receive a follow-up PHQ-9 and were excluded from analyses of follow-up PHQ-9 and an additional 87 patients did not have a follow-up PHQ-9 item 9. This resulted in a final analytic sample of 86,740 patients for overall PHQ-9 analyses and 86,653 patients for PHQ-9 item 9 analyses. In the linear regression model of depression symptoms (see the left panel in Table 4), patients with severe anxiety (B = 3.2, p = 0.001), moderate anxiety (B = 1.4, p = 0.001), and mild anxiety (B = 0.8, p = 0.001) had higher PHQ-9 scores at follow-up than did patients with minimal anxiety. For suicidal ideation (PHQ-9 item 9) analyses (see the right panel in Table 4), patients with severe anxiety (B = 0.2, p = 0.001) and moderate anxiety (B = 0.1, p = 0.001) at baseline reported higher item 9 scores than did patients with minimal baseline anxiety.
Table 4.
Linear regression predicting depression symptom scores following new onset depression.
| Predictors | PHQ-9 score (n = 86,740) | PHQ-9 item 9 score (n = 86,653) |
|---|---|---|
| B | B | |
| Severe PHQ-9 (ref. moderate) | 4.40a | 0.30a |
| Mild GAD-7 (ref. minimal) | 0.76a | 0.03 |
| Moderate GAD-7 (ref. minimal) | 1.35a | 0.06a |
| Severe GAD-7 (ref. minimal) | 3.16a | 0.19a |
| Age (continuous) | −0.01a | 0.00c |
| Female sex (ref. male) | −0.16b | −0.10a |
| Black race (ref. White) | 0.60a | 0.00 |
| Other race (ref. White) | 0.50a | 0.05a |
| Hispanic (ref. non-Hispanic) | −0.07 | −0.04a |
| Rural (ref. urban) | −0.12c | −0.02b |
| CBOC (ref. VAMC) | 0.17a | 0.00 |
| Other facility (ref. VAMC) | 0.12c | −0.02c |
| SC ≥ 50% (ref. 0%) | 0.27a | −0.04a |
| SC <50% (ref. 0%) | 0.02 | −0.06a |
| PACT only (ref. not PACT only) | 1.26a | 0.09 |
| PCMHI (ref. no PCMHI) | 0.26a | 0.03a |
| MHC (ref. no MHC) | 0.28a | 0.10a |
| PCT (ref. no PCT) | 0.09 | 0.01 |
| PTSD (ref. no diagnosis) | 0.60a | 0.04a |
| GAD (ref. no diagnosis) | −0.42a | −0.10a |
| Other anxiety (ref. no diagnosis) | −0.33a | −0.08a |
| AUD/SUD (ref. no diagnosis) | 0.05 | 0.03a |
| Elixhauser score = 1 (ref. 0) | −0.20a | −0.05a |
| Elixhauser score = 2 (ref. 0) | −0.33a | −0.06a |
| Elixhauser score ≥3 (ref. 0) | −0.49a | −0.08a |
Note. PHQ-9 score assessed symptoms of depression. PHQ-9 item 9 assessed suicidal ideation. MH = Mental health. PHQ-9 = Patient Health Questionnaire. GAD-7 = Generalized Anxiety Disorder-7. VAMC = VA Medical Center. CBOC = Community-Based Outpatient Clinics. SC = Service connection. PACT = Patient Aligned Care Team. PCMHI = Primary Care - Mental Health Integration. MHC = Mental Health Clinic. PCT = PTSD Clinical Team. PTSD = Posttraumatic stress disorder. GAD = Generalized anxiety disorder. AUD = Alcohol use disorder. SUD = Substance use disorder.
p < 0.001.
p < 0.01.
p < 0.05.
4. Discussion
This study examined whether anxiety symptoms, assessed via the GAD-7, are associated with differences in care and depression symptom outcomes when administered clinically to VHA patients with new diagnoses of depression. Across most outcomes, we found that anxiety symptoms significantly predicted greater care receipt and symptom severity. Therefore, administering the GAD-7 to measure anxiety may be a relatively low-cost way to identify illness burden and treatment need more accurately than depression symptom measures alone.
We found that anxiety symptoms were associated with increased receipt of antidepressants (across acute and continuation phases), daytime anxiolytic/sedatives, and nighttime sedative/hypnotics. This finding is consistent with prior studies suggesting that patients with depression and comorbid PTSD utilize mental health treatment at higher rates than patients with either disorder alone (Chan et al., 2009; Kramer et al., 2003; Maguen et al., 2012; Nichter et al., 2019) and extends that finding to generalized anxiety symptoms. Anxiety symptoms also predicted ED visits, similar to the effects of anxiety disorders on ED utilization among Veterans (Trivedi et al., 2015).
In addition to predicting increased service utilization, we found that patients who reported elevated anxiety also experienced more severe depression and suicidal ideation at follow-up. Thus, despite the increased service utilization among patients with depression and severe anxiety, these patients still reported more depression symptoms. Our findings are consistent with prior studies of Veterans that indicate that comorbid anxiety and depression are associated with a host of negative outcomes (Pfeiffer et al., 2009; Phillips et al., 2009; Scherrer et al., 2010; Ziobrowski et al., 2021). These findings suggest close attention and monitoring of anxiety symptoms may aid early identification of patients who are most in need of treatment.
We found that patients with severe anxiety were less likely to initiate psychotherapy relative to patients with minimal anxiety. Large-scale studies have found that patients with anxiety disorders rarely seek treatment (Roness et al., 2005), potentially due to anxiety-related avoidance. Given that several psychotherapy approaches effectively reduce anxiety symptoms (Andrews et al., 2018; Bandelow et al., 2015), understanding barriers to psychotherapy initiation is essential. One potential barrier to psychotherapy initiation in VHA is the lack of clinical guidelines and evidence-based psychotherapy (EBP) initiatives for patients with generalized anxiety or depression with comorbid anxiety (Ennis et al., 2023). EBPs for several psychiatric conditions have been implemented in VHA nationally (e.g., depression, PTSD; VHA Handbook 1160.01; Uniform Mental Health Services in VA Medical Centers and Clinics) and VHA publishes clinical practice guidelines for bipolar disorder, schizophrenia, suicide, major depressive disorder, PTSD, and substance use disorder. Evaluation data for existing EBP programs (e.g., prolonged exposure for PTSD) suggest that the initiatives are associated with positive patient and provider outcomes (Karlin et al., 2010, 2012). Despite the success of EBP initiatives, there are not clear guidelines for how to treat patients with anxiety disorders, including when comorbid with depression. National EBP initiatives for anxiety may allow mental health providers more flexibility in engaging in shared decision making, an approach found to increase treatment engagement among Veterans with PTSD (Mott et al., 2014). Since anxiety is among the most common conditions present in Veterans seeking mental health treatment (Adler et al., 2011), clinical practice guidelines and EBPs for anxiety may increase psychotherapy utilization among patients with depression and elevated anxiety.
Recognizing the deleterious impact of anxiety in the general U.S. population, as well as poor detection in primary care (Kroenke et al., 2007), the U.S. Preventative Services Task Force recommended routine screening for anxiety among all U.S. adults aged 18–64 on 6/20/2023 (US Preventive Services Task Force et al., 2023). There have been calls for VHA to implement routine clinical screening for anxiety (e.g., Ennis et al., 2023). This study provides the first evidence, that we are aware of, that the GAD-7 may assist in the identification of patients likely to have more severe and prolonged depression. We also found that the likelihood of GAD-7 receipt differed across patient subgroups (by age, sex, race, ethnicity, rurality, service connection), comorbid mental and physical health diagnoses, and care utilization (by administrative parent facility, PCMHI receipt, MHC receipt, PCT receipt). Differences in GAD-7 receipt across these groups highlights the opportunity for guidelines to improve the consistency of screening practices in VHA and other health systems.
Instituting standardized screening for anxiety may have limited benefits in the absence of improved access to anxiety-specific EBPs. In other health systems, randomized trials testing the impact of screening primary care patients for anxiety did not improve patient symptom outcomes (Fifer et al., 1994; Kroenke et al., 2018). However, studies have found that when patients are systematically screened for anxiety, 56% of all patients who reported elevated anxiety symptoms were not recognized as having anxiety disorders in their medical record (Mathias et al., 1994). The case of depression screening may offer a useful parallel. Prior to the wide scale adoption of universal depression screening, cost-utility analyses showed that screening for depression was unlikely to be cost-effective in routine primary care practices despite the high prevalence of depression. However, cost-effectiveness of screening was favorable if effective treatments, including psychotherapy, were highly accessible in primary care (Valenstein et al., 2001). VHA has subsequently instituted both depression screening (Veterans Health Administration and Department of Defense, 2022) using the PHQ-9 and increased access to depression treatments via PCMHI (Wray et al., 2012). Depression screening in primary care and same-day PCMHI service is associated with increased probability of patients receiving psychotherapy and antidepressant treatment (Szymanski et al., 2013). Future studies should examine if the benefit of screening for anxiety is improved when more intensive or anxiety-specific mental health services are clearly specified and accessible to patients who screen positive.
Study findings are limited by the inability to discern who received a routine GAD-7 versus those who selectively completed the GAD-7 after an initial assessment. Most of our sample reported moderate or severe anxiety (29.1% moderate anxiety, 53.3% severe anxiety). Therefore, it remains unclear if findings related to the likelihood of GAD-7 receipt are due to differences in symptom presentation across patient subgroups or provider variation in screening practices. Further, it is unknown whether the differences in care utilization were due to patient or provider preferences. For example, there is evidence that psychiatrists are more likely to recommend antidepressants as the preferred treatment option for patients with GAD (Latas et al., 2018). Future studies might benefit from using provider notes to identify whether the difference between antidepressant and psychotherapy utilization rates are due to patient preferences or the treatments recommended by providers. Additionally, this study used GAD-7 and PHQ-9 scores that were entered into structured data fields within VHA’s electronic medical record. Consequently, measures that were administered but not recorded in the medical record or only recorded within the free text of progress notes may have been under identified. Also, we used the ninth item of the PHQ-9 to assess suicidal ideation, which contains a double-barreled reference to both passive and active suicidal ideation (Williams et al., 2009). Future investigations of GAD-7 scores and suicide-related outcomes should use measures that better differentiate severity of suicidal ideation and behaviors, such as the Columbia Suicide Severity Rating Scale (Na et al., 2018). Finally, given this study consisted solely of VHA patients, it is unclear whether these results extend to other healthcare systems.
In conclusion, we found that among VHA patients with new episodes of depression, anxiety symptoms were significantly associated with mental health-related medication receipt, psychotherapy receipt, ED visits, and depression symptom scores at follow-up, but were not associated with inpatient psychiatric stays. Efforts to improve outcomes for patients with depression and anxiety may benefit from routine screening for anxiety and instituting EBP initiatives to provide standardized anxiety treatment. Additional consideration should be given to targeting transdiagnostic processes that contribute to both anxiety and depression (e.g., anxiety sensitivity, intolerance of uncertainty; Allan et al., 2018; Carleton et al., 2012; Dugas et al., 2001; Gentes and Ruscio, 2011; Naragon-Gainey, 2010; Olatunji and Wolitzky-Taylor, 2009; Saulnier et al., 2018, 2019), and testing transdiagnostic treatments among this population (e.g., Safety Aid Reduction Treatment; Raines et al., 2023). Healthcare systems should prioritize enhancing the benefits of screening and treatment for patients with comorbid anxiety and depression.
Supplementary Material
Acknowledgment
This research is supported by the Department of Veterans Affairs Office of Academic Affiliations Advanced Fellowship Program in Mental Illness Research and Treatment, the Ann Arbor VA Healthcare System, and the Serious Mental Illness Treatment Resource and Evaluation Center (SMITREC).
Funding
This work was supported by the VA Health Services Research and Development Service IIR 14–345 (PI: Pfeiffer) and the VA Health Services Research and Development Service RCS 21–138 (PI: Zivin) and RCS 03–155 (PI: Piette).
The views expressed in this paper are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs or the US government.
Footnotes
CRediT authorship contribution statement
K.G. Saulnier: Writing – original draft, Methodology, Conceptualization. D. Ganoczy: Formal analysis, Data curation. P.P. Grau: Writing – review & editing, Conceptualization. R.K. Sripada: Writing – review & editing, Conceptualization. K. Zivin: Writing – review & editing, Funding acquisition, Conceptualization. J.D. Piette: Writing – review & editing, Funding acquisition, Conceptualization. P.N. Pfeiffer: Writing – review & editing, Supervision, Investigation, Funding acquisition, Conceptualization.
Declaration of competing interest
None.
Appendix A. Supplementary data
Supplementary data to this article can be found online at https://doi.org/10.1016/j.jpsychires.2024.07.003.
Analyses were also ran with continuous GAD-7 scores. There were no differences in the pattern of statistically significant results between outcomes and GAD-7 scores in the continuous and categorical models.
Analyses were also ran with continuous PHQ-9 scores. There were no differences in the pattern of statistically significant results between outcomes and PHQ-9 scores in the continuous and categorical models.
References
- Adler DA, Possemato K, Mavandadi S, Lerner D, Chang H, Klaus J, Tew JD, Barrett D, Ingram E, Oslin DW, 2011. Psychiatric status and work performance of veterans of operations enduring freedom and Iraqi freedom. Psychiatr. Serv. 62 (1), 39–46. 10.1176/ps.62.1.pss6201_0039. [DOI] [PubMed] [Google Scholar]
- Allan NP, Cooper D, Oglesby ME, Short NA, Saulnier KG, Schmidt NB, 2018. Lower-order anxiety sensitivity and intolerance of uncertainty dimensions operate as specific vulnerabilities for social anxiety and depression within a hierarchical model. J. Anxiety Disord. 53, 91–99. 10.1016/j.janxdis.2017.08.002. [DOI] [PubMed] [Google Scholar]
- Andrews G, Basu A, Cuijpers P, Craske MG, McEvoy P, English CL, Newby JM, 2018. Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: an updated meta-analysis. J. Anxiety Disord. 55, 70–78. 10.1016/j.janxdis.2018.01.001. [DOI] [PubMed] [Google Scholar]
- Bandelow B, Reitt M, Röver C, Michaelis S, Görlich Y, Wedekind D, 2015. Efficacy of treatments for anxiety disorders: a meta-analysis. Int. Clin. Psychopharmacol. 30 (4), 183–192. 10.1097/YIC.0000000000000078. [DOI] [PubMed] [Google Scholar]
- Bandelow B, Michaelis S, Wedekind D, 2017. Treatment of anxiety disorders. Dialogues Clin. Neurosci. 19 (2), 93–107. 10.31887/DCNS.2017.19.2/bbandelow. [DOI] [PMC free article] [PubMed] [Google Scholar]
- US Preventive Services Task Force, Barry MJ, Nicholson WK, Silverstein M, Coker TR, Davidson KW, Davis EM, Donahue KE, Jaén CR, Li L, Ogedegbe G, Pbert L, Rao G, Ruiz JM, Stevermer J, Tsevat J, Underwood SM, Wong JB, 2023. Screening for anxiety disorders in adults: US preventive services Task Force recommendation statement. JAMA 329 (24), 2163. 10.1001/jama.2023.9301. [DOI] [PubMed] [Google Scholar]
- Carleton RN, Mulvogue MK, Thibodeau MA, McCabe RE, Antony MM, Asmundson GJG, 2012. Increasingly certain about uncertainty: intolerance of uncertainty across anxiety and depression. J. Anxiety Disord. 26, 468–479. 10.1016/j.janxdis.2012.01.011. [DOI] [PubMed] [Google Scholar]
- Chan D, Cheadle AD, Reiber G, Unützer J, Chaney EF, 2009. Health care utilization and its costs for depressed veterans with and without comorbid PTSD symptoms. Psychiatr. Serv. 60 (12), 1612–1617. 10.1176/ps.2009.60.12.1612. [DOI] [PubMed] [Google Scholar]
- Chikovani I, Makhashvili N, Gotsadze G, Patel V, McKee M, Uchaneishvili M, Rukhadze N, Roberts B, 2015. Health service utilization for mental, behavioural and emotional problems among conflict-affected population in Georgia: a cross-sectional study. PLoS One 10 (4), e0122673. 10.1371/journal.pone.0122673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Coplan JD, Aaronson CJ, Panthangi V, Kim Y, 2015. Treating comorbid anxiety and depression: psychosocial and pharmacological approaches. World J. Psychiatr. 5 (4), 366–378. 10.5498/wjp.v5.i4.366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dugas MJ, Gosselin P, Ladouceur R, 2001. Intolerance of uncertainty and worry: investigating specificity in a nonclinical sample. Cognit. Ther. Res. 25, 551–558. 10.1023/A:1005553414688. [DOI] [Google Scholar]
- Elixhauser A, Steiner C, Harris DR, Coffey RM, 1998. Comorbidity measures for use with administrative data. Med. Care 36 (1), 8–27. [DOI] [PubMed] [Google Scholar]
- Ennis CR, Raines AM, Aldea MA, Shapiro MO, Crowe CM, Franklin CL, 2023. Addressing barriers in access to mental health care within the veterans health administration: evidence-based psychotherapies for anxiety and related disorders. Adm. Pol. Ment. Health 50 (2), 173–176. 10.1007/s10488-022-01241-y. [DOI] [PubMed] [Google Scholar]
- Fifer SK, Mathias SD, Patrick DL, Mazonson PD, Lubeck DP, Buesching DP, 1994. Untreated anxiety among adult primary care patients in a Health Maintenance Organization. Arch. Gen. Psychiatr. 51 (9), 740–750. 10.1001/archpsyc.1994.03950090072010. [DOI] [PubMed] [Google Scholar]
- Gentes EL, Ruscio AM, 2011. A meta-analysis of the relation of intolerance of uncertainty to symptoms of generalized anxiety disorder, major depressive disorder, and obsessive–compulsive disorder. Clin. Psychol. Rev. 31, 923–933. 10.1016/j.cpr.2011.05.001. [DOI] [PubMed] [Google Scholar]
- Ginzburg K, Ein-Dor T, Solomon Z, 2010. Comorbidity of posttraumatic stress disorder, anxiety and depression: a 20-year longitudinal study of war veterans. J. Affect. Disord. 123 (1), 249–257. 10.1016/j.jad.2009.08.006. [DOI] [PubMed] [Google Scholar]
- Karlin BE, Ruzek JI, Chard KM, Eftekhari A, Monson CM, Hembree EA, Resick PA, Foa EB, 2010. Dissemination of evidence-based psychological treatments for posttraumatic stress disorder in the Veterans Health Administration. J. Trauma Stress 23 (6), 663–673. 10.1002/jts.20588. [DOI] [PubMed] [Google Scholar]
- Karlin BE, Brown GK, Trockel M, Cunning D, Zeiss AM, Barr Taylor C, 2012. National dissemination of cognitive behavioral therapy for depression in the department of veterans affairs health care system: therapist and patient-level outcomes. J. Consult. Clin. Psychol. 80 (5), 707–718. 10.1037/A0029328. [DOI] [PubMed] [Google Scholar]
- Kramer TL, Booth BM, Han X, Williams DK, 2003. Service utilization and outcomes in medically ill veterans with posttraumatic stress and depressive disorders. J. Trauma Stress 16 (3), 211–219. 10.1023/A:1023783705062. [DOI] [PubMed] [Google Scholar]
- Kroenke K, Spitzer R, Williams W, 2001. The PHQ-9: validity of a brief depression severity measure. J. Gen. Intern. Med. 16, 606–613. 10.1046/j.1525-1497.2001.016009606.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kroenke K, Spitzer RL, Williams JBW, Monahan PO, Löwe B, 2007. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann. Intern. Med. 146, 317–325. 10.7326/0003-4819-146-5-200703060-00004. [DOI] [PubMed] [Google Scholar]
- Kroenke K, Talib TL, Stump TE, Kean J, Haggstrom DA, DeChant P, Lake KR, Stout M, Monahan PO, 2018. Incorporating PROMIS symptom measures into primary care practice-a randomized clinical trial. J. Gen. Intern. Med. 33 (8), 1245–1252. 10.1007/s11606-018-4391-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kunkle S, Yip M, Hunt J, Ξ W, Udall D, Arean P, Nierenberg A, Naslund JA, 2021. Association between care utilization and anxiety outcomes in an on-demand mental health system: retrospective observational study. JMIR Formative Res. 5 (1), e24662 10.2196/24662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Latas M, Trajković G, Bonevski D, Naumovska A, Vučinić Latas D, Bukumirić Z, Starčević V, 2018. Psychiatrists’ treatment preferences for generalized anxiety disorder. Hum. Psychopharmacol. Clin. Exp. 33 (1), e2643. 10.1002/hup.2643. [DOI] [PubMed] [Google Scholar]
- Levine DS, McCarthy JF, Cornwell B, Brockmann L, Pfeiffer PN, 2017. Primary care–mental health integration in the VA health system: associations between provider staffing and quality of depression care. Psychiatr. Serv. 68 (5), 476–481. 10.1176/appi.ps.201600186. [DOI] [PubMed] [Google Scholar]
- Liebmann EP, Resnick SG, Stacy MA, 2022. Measurement-based care for psychotic disorders in the Veterans Health Administration: current practices and future directions. J. Clin. Psychiatry 83 (2), 39945. 10.4088/JCP.21m14274. [DOI] [PubMed] [Google Scholar]
- Lowe SR, Norris FH, Galea S, 2016. Mental health service utilization among natural disaster survivors with perceived need for services. Psychiatr. Serv. 67 (3), 354–357. 10.1176/appi.ps.201500027. [DOI] [PubMed] [Google Scholar]
- Maguen S, Cohen B, Cohen G, Madden E, Bertenthal D, Seal K, 2012. Gender differences in health service utilization among Iraq and Afghanistan veterans with posttraumatic stress disorder. J. Wom. Health 21 (6), 666–673. 10.1089/jwh.2011.3113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mathias SD, Fifer SK, Mazonson PD, Lubeck DP, Buesching DP, Patrick DL, 1994. Necessary but not sufficient: the effect of screening and feedback on outcomes of primary care patients with untreated anxiety. J. Gen. Intern. Med. 9 (11), 606–615. 10.1007/BF02600303. [DOI] [PubMed] [Google Scholar]
- Milanak ME, Gros DF, Magruder KM, Brawman-Mintzer O, Frueh BC, 2013. Prevalence and features of generalized anxiety disorder in Department of Veteran Affairs primary care settings. Psychiatr. Res. 209 (2), 173–179. 10.1016/j.psychres.2013.03.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mott JM, Stanley MA, Street RL Jr., Grady RH, Teng EJ, 2014. Increasing engagement in evidence-based PTSD treatment through shared decision-making: a pilot study. Mil. Med. 179 (2), 143–149. 10.7205/MILMED-D-13-00363. [DOI] [PubMed] [Google Scholar]
- Na PJ, Yaramala SR, Kim JA, Kim H, Goes FS, Zandi PP, Vande Voort JL, Sutor B, Croarkin P, Bobo WV, 2018. The PHQ-9 item 9 based screening for suicide risk: a validation study of the patient health questionnaire (PHQ)–9 item 9 with the Columbia suicide severity rating scale (C-ssrs). J. Affect. Disord. 232, 34–40. 10.1016/j.jad.2018.02.045. [DOI] [PubMed] [Google Scholar]
- Naragon-Gainey K, 2010. Meta-analysis of the relations of anxiety sensitivity to the depressive and anxiety disorders. Psychol. Bull. 136, 128–150. 10.1037/a0018055. [DOI] [PubMed] [Google Scholar]
- Nichter B, Norman S, Haller M, Pietrzak RH, 2019. Psychological burden of PTSD, depression, and their comorbidity in the U.S. veteran population: suicidality, functioning, and service utilization. J. Affect. Disord. 256, 633–640. 10.1016/j.jad.2019.06.072. [DOI] [PubMed] [Google Scholar]
- Olatunji BO, Wolitzky-Taylor KB, 2009. Anxiety sensitivity and the anxiety disorders: a meta-analytic review and synthesis. Psychol. Bull. 135, 974–999. 10.1037/a0017428. [DOI] [PubMed] [Google Scholar]
- Panaite V, Bowersox NW, Zivin K, Ganoczy D, Kim HM, Pfeiffer PN, 2019. Individual and neighborhood characteristics as predictors of depression symptom response. Health Serv. Res. 54 (3), 586–591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pfeiffer PN, Ganoczy D, Ilgen M, Zivin K, Valenstein M, 2009. Comorbid anxiety as a suicide risk factor among depressed veterans. Depress. Anxiety 26 (8), 752–757. 10.1002/da.20583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pfeiffer PN, Zivin K, Hosanagar A, Panaite V, Ganoczy D, Kim HM, Hofer T, Piette JD, 2023. Assessment of outcome-based measures of depression care quality in veterans health administration facilities. J. Behav. Health Serv. Res. 50 (1), 49–67. 10.1007/s11414-022-09813-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phillips AC, Batty GD, Gale CR, Deary IJ, Osborn D, MacIntyre K, Carroll D, 2009. Generalized anxiety disorder, major depressive disorder, and their comorbidity as predictors of all-cause and cardiovascular mortality: the vietnam experience study. Psychosom. Med. 71 (4), 395. 10.1097/PSY.0b013e31819e6706. [DOI] [PubMed] [Google Scholar]
- Plummer F, Manea L, Trepel D, McMillan D, 2016. Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic meta analysis. Gen. Hosp. Psychiatr. 39, 24–31. 10.1016/j.genhosppsych.2015.11.005. [DOI] [PubMed] [Google Scholar]
- Raines AM, Chambliss JL, Norr AM, Sanders N, Smith S, Walton JL, True G, Franklin CL, Schmidt NB, 2023. Acceptability, feasibility, and utility of a safety aid reduction treatment in underserved veterans: a pilot investigation. Cognit. Behav. Ther. 52 (1), 1–17. 10.1080/16506073.2022.2130819. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rauch S, Foa E, 2006. Emotional processing theory (EPT) and exposure therapy for PTSD. J. Contemp. Psychother. 36 (2), 61–65. 10.1007/s10879-006-9008-y. [DOI] [Google Scholar]
- Roberge P, Normand-Lauzière F, Raymond I, Luc M, Tanguay-Bernard M-M, Duhoux A, Bocti C, Fournier L, 2015. Generalized anxiety disorder in primary care: mental health services use and treatment adequacy. BMC Fam. Pract. 16, 146. 10.1186/s12875-015-0358-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roness A, Mykletun A, Dahl AA, 2005. Help-seeking behaviour in patients with anxiety disorder and depression. Acta Psychiatr. Scand. 111 (1), 51–58. 10.1111/j.1600-0447.2004.00433.x. [DOI] [PubMed] [Google Scholar]
- Ruiz MA, Zamorano E, García-Campayo J, Pardo A, Freire O, Rejas J, 2011. Validity of the GAD-7 scale as an outcome measure of disability in patients with generalized anxiety disorders in primary care. J. Affect. Disord. 128 (3), 277–286. 10.1016/j.jad.2010.07.010. [DOI] [PubMed] [Google Scholar]
- Sarkar S, Sautier L, Schilling G, Bokemeyer C, Koch U, Mehnert A, 2015. Anxiety and fear of cancer recurrence and its association with supportive care needs and health-care service utilization in cancer patients. J. Cancer Survivorship 9 (4), 567–575. 10.1007/s11764-015-0434-2. [DOI] [PubMed] [Google Scholar]
- SAS Institute Inc, 2023. SAS 9.4 M8 Help and Documentation. SAS Institute Inc; [Computer software]. [Google Scholar]
- Saulnier KG, Allan NP, Raines AM, Schmidt NB, 2018. Anxiety sensitivity cognitive concerns drive the relation between anxiety sensitivity and symptoms of depression. Cognit. Behav. Ther. 47 (6), 495–507. 10.1080/16506073.2018.1469664. [DOI] [PubMed] [Google Scholar]
- Saulnier KG, Allan NP, Raines AM, Schmidt NB, 2019. Depression and intolerance of uncertainty: relations between uncertainty subfactors and depression dimensions. Psychiatr. Interpers. Biol. Process. 82 (1), 72–79. 10.1080/00332747.2018.1560583. [DOI] [PubMed] [Google Scholar]
- Saulnier KG, Saulnier SJ, Allan NP, 2022. Cognitive risk factors and the experience of acute anxiety following social stressors: an ecological momentary assessment study. J. Anxiety Disord. 88 10.1016/J.JANXDIS.2022.102571, 102571–102571. [DOI] [PubMed] [Google Scholar]
- Scherrer JF, Chrusciel T, Zeringue A, Garfield LD, Hauptman PJ, Lustman PJ, Freedland KE, Carney RM, Bucholz KK, Owen R, True WR, 2010. Anxiety disorders increase risk for incident myocardial infarction in depressed and nondepressed Veterans Administration patients. Am. Heart J. 159 (5), 772–779. 10.1016/j.ahj.2010.02.033. [DOI] [PubMed] [Google Scholar]
- Shippee ND, Rosen BH, Angstman KB, Fuentes ME, DeJesus RS, Bruce SM, Williams MD, 2014. Baseline screening tools as indicators for symptom outcomes and health services utilization in a collaborative care model for depression in primary care: a practice-based observational study. Gen. Hosp. Psychiatr. 36 (6), 563–569. 10.1016/j.genhosppsych.2014.06.014. [DOI] [PubMed] [Google Scholar]
- Spitzer RL, Kroenke K, Williams JBW, Löwe B, 2006. A brief beasure for assessing generalized anxiety disorder: the GAD-7. Arch. Intern. Med. 166 (10), 1092–1097. 10.1001/archinte.166.10.1092. [DOI] [PubMed] [Google Scholar]
- Springer F, Sautier L, Schilling G, Koch-Gromus U, Bokemeyer C, Friedrich M, Mehnert-Theuerkauf A, Esser P, 2023. Effect of depression, anxiety, and distress screeners on the need, intention, and utilization of psychosocial support services among cancer patients. Support. Care Cancer 31 (2), 117. 10.1007/s00520-023-07580-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Szymanski BR, Bohnert KM, Zivin K, McCarthy JF, 2013. Integrated care: treatment initiation following positive depression screens. J. Gen. Intern. Med. 28 (3), 346–352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Trivedi RB, Post EP, Sun H, Pomerantz A, Saxon AJ, Piette JD, Maynard C, Arnow B, Curtis I, Fihn SD, Nelson K, 2015. Prevalence, comorbidity, and prognosis of mental health among US veterans. Am. J. Publ. Health 105 (12). 10.2105/AJPH.2015.302836, 2569–2569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valenstein M, Vijan S, Zeber JE, Boehm K, Buttar A, 2001. The cost–utility of screening for depression in primary care. Ann. Intern. Med. 134 (5), 345–360. 10.7326/0003-4819-134-5-200103060-00007. [DOI] [PubMed] [Google Scholar]
- Veterans Health Administration and Department of Defense, 2022. VA/DoD clinical practice guideline for the management of major depressive disorder (version 4.0). In: Veterans Health Administration. Department of Defense. https://www.healthquality.va.gov/guidelines/MH/mdd/VADoDMDDCPGFinal508.pdf. [Google Scholar]
- Williams RT, Heinemann AW, Bode RK, Wilson CS, Fann JR, Tate DG, 2009. Improving measurement properties of the Patient Health Questionnaire–9 with rating scale analysis. Rehabil. Psychol. 54 (2), 198–203. 10.1037/a0015529. [DOI] [PubMed] [Google Scholar]
- Wittchen H-U, Kessler RC, Beesdo K, Krause P, Höfler M, Hoyer J, 2002. Generalized anxiety and depression in primary care: prevalence, recognition, and management. J. Clin. Psychiatry 63 (Suppl. 8), 24–34. [PubMed] [Google Scholar]
- Wray LO, Szymanski BR, Kearney LK, McCarthy JF, 2012. Implementation of primary care-mental health integration services in the Veterans Health Administration: Program activity and associations with engagement in specialty mental health services. J. Clin. Psychol. Med. Settings 19 (1), 105–116. [DOI] [PubMed] [Google Scholar]
- Ziobrowski HN, Leung LB, Bossarte RM, Bryant C, Keusch JN, Liu H, Puac-Polanco V, Pigeon WR, Oslin DW, Post EP, Zaslavsky AM, Zubizarreta JR, Kessler RC, 2021. Comorbid mental disorders, depression symptom severity, and role impairment among Veterans initiating depression treatment through the Veterans Health Administration. J. Affect. Disord. 290, 227–236. 10.1016/j.jad.2021.04.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
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