Abstract
Rationale: Patients with chronic obstructive pulmonary disease (COPD) and anxiety or depression experience more symptoms and exacerbations than patients without these comorbidities. Failure to provide beneficial COPD therapies to appropriate patients (underuse) and provision of potentially harmful therapies to patients without an appropriate indication (overuse) could contribute to respiratory symptoms and exacerbations. Anxiety and depression are known to affect the provision of health services for other comorbid conditions; therefore, underuse or overuse of therapies may explain the increased risk of severe symptoms among these patients.
Objectives: To determine whether diagnosed anxiety and depression, as well as significant anxiety and depression symptoms, are associated with underuse and overuse of appropriate COPD therapies.
Methods: We analyzed data from a multicenter prospective cohort study of 2,376 participants (smokers and control subjects) enrolled between 2010 and 2015. We identified two subgroups of participants, one at risk for inhaled corticosteroid (ICS) overuse and one at risk for long-acting bronchodilator (LABD) underuse based on the 2011 Global Initiative for Chronic Obstructive Lung Disease statement. Our primary outcomes were self-reported overuse and underuse. Our primary exposures of interest were self-reported anxiety and depression and significant anxiety and depression symptoms. We adopted a propensity-score method with inverse probability of treatment weighting adjusting for differences in prevalence of confounders and performed inverse probability of treatment weighting logistic regression to evaluate all associations between the exposures and outcomes.
Results: Among the 1,783 study participants with COPD confirmed by spirometry, 667 (37.4%) did not have an indication for ICS use, whereas 985 (55.2%) had an indication for LABD use. Twenty-five percent (n = 167) of patients reported ICS use, and 72% (n = 709) denied LABD use in each subgroup, respectively. Neither self-reported anxiety and depression nor significant anxiety and depression symptoms were associated with overuse or underuse. At least 50% of patients in both subgroups with significant symptoms of anxiety or depression did not report a preexisting mental health diagnosis.
Conclusions: Underuse of LABDs and overuse of ICSs are common but are not associated with comorbid anxiety or depression diagnosis or symptoms. Approximately one-third of individuals with COPD experience anxiety or depression, and most are undiagnosed. There are significant opportunities to improve disease-specific and patient-centered treatment for individuals with COPD.
Keywords: anxiety, depression, overuse, underuse
Depression and anxiety are common among patients with chronic obstructive pulmonary disease (COPD), affecting between 10% (1) and 50% (2) of such patients. Individuals with COPD and comorbid anxiety or depression have an increased risk of exacerbation, hospitalization, and death (1–12). Although there are several potential mechanisms for this association, including increased susceptibility to illness, increased systemic inflammation, and decreased self-efficacy, the simplest explanation of this observation may be that individuals with COPD and comorbid mental health conditions receive lower-quality care than those who do not (7, 13, 14).
Overall, care quality for patients with COPD is known to be poor, with many patients receiving treatments that constitute overuse of inappropriate inhaled therapies (in whom the potential harm outweighs the likely benefit) or underuse of potentially beneficial therapies (15–19). Overuse and underuse are forms of low-value care that lead to increased medication-related adverse events and waste and to increased use of health resources from unnecessary morbidity and hospitalization. Patients with COPD who suffer from comorbid anxiety or depression may be at particular risk of being prescribed potentially inappropriate medications, such as inhaled corticosteroids (ICSs) for individuals without history of recent exacerbation, to treat somatic symptoms of their mental health diagnoses, such as fatigue, anxiety, and chest tightness. Similarly, patients with COPD and comorbid anxiety or depression may be less likely to receive a complete evaluation of their symptoms or engage in motivational interviewing with their providers to ensure medication adherence (20, 21). Prior studies of the association between anxiety and depression and care quality for other acute and chronic conditions have shown that patients with mental health comorbidities are more likely to receive inappropriate treatments that constitute overuse, while also experiencing treatments that constitute underuse of potentially beneficial treatments and screenings (22–26). Understanding the role, if any, of diagnosed or undiagnosed mental health comorbidities in the treatment of COPD could help facilitate development of interventions to improve outcomes for this patient population.
We sought to evaluate whether individuals with depression or anxiety were more likely to experience low-value care through use of medications that confer more harm than benefit (e.g., ICSs among those without a history of exacerbation) or failure to receive appropriate care to mitigate COPD symptoms and prevent exacerbation (e.g., long-acting bronchodilators [LABDs] among those with significant daily symptoms) than those without depression or anxiety. Because many individuals suffer from mental health conditions that are not formally diagnosed, we evaluated the associations of patient-reported overuse and underuse with both patient-reported diagnoses of anxiety or depression and significant anxiety or depression symptoms.
Methods
Data Source and Study Design
We performed a cross-sectional secondary analysis of the baseline data collected for SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study), a multicenter prospective observational study that enrolled participants between 2010 and 2015 and followed them for up to 3 years (27).
SPIROMICS Enrollment and Participation
SPIROMICS enrolled 2,736 participants between 40 and 80 years of age who were either nonsmokers without airflow obstruction or current or former smokers with a smoking history of at least 20 pack-years from 2010 through 2015 (28). Participants did not require a clinical diagnosis of COPD to enroll in the study. During the enrollment encounter, all participants were asked to provide information about medications, medical history, and exacerbations of COPD via questionnaire. Participants completed multiple symptom assessments and disease screenings with the assistance of research coordinators. These assessments included the COPD Assessment Test (CAT) to quantify severity of COPD symptoms and the Hospital Anxiety and Depression Scale (HADS) to screen for anxiety and depression. All participants completed spirometric testing during the enrollment visit to enable evaluation of obstructive lung disease.
Study Populations
We identified study participants with COPD confirmed by airflow obstruction at spirometry (post-bronchodilator ratio of forced expiratory volume in 1 second [FEV1] to forced vital capacity <0.70) and who complete the CAT and HADS assessments during their enrollment encounter to evaluate the association between comorbid anxiety and depression and appropriateness of COPD pharmacotherapy. We then created two subgroups of participants to evaluate potential overuse and potential underuse.
Potential overuse of ICSs
We identified a subgroup of participants who did not have an appropriate indication for ICS use based on the 2007 or 2011 Global Initiative for Chronic Obstructive Lung Disease (GOLD) statements, which were the statements available during the study period (29, 30). Appropriate indications included self-reported history of asthma, post-bronchodilator FEV1 < 50% predicted or self-reported history of inpatient or outpatient exacerbation in the year before enrollment. Participants who affirmed that they had experienced an “episode of breathing problems” in the past year were considered as having had an exacerbation, regardless of treatment received, to minimize misclassification of patients appropriate for ICS use.
Potential underuse of LABDs
To evaluate underuse, we created another subgroup of participants who would be expected to benefit from LABD therapy (either long-acting muscarinic-antagonist or long-acting β-agonist therapy) because of significant self-reported dyspnea (CAT score 10) (31). SPIROMICS participants could belong to one subgroup, both subgroups, or neither subgroup. We excluded participants belonging to neither subgroup from the study.
Primary Outcome
The primary outcome of low-value COPD pharmacotherapy was defined as self-reported use of ICSs among participants without appropriate indication for ICS use (overuse) or failure to report use of LABDs among participants with an appropriate indication for LABD use (underuse).
Primary Exposure
The primary exposure of interest was a self-reported diagnosis of anxiety and depression or significant anxiety and depression symptoms without a self-reported diagnosis. We identified participants with a self-reported diagnosis of anxiety or depression as those with a diagnosis made by a medical provider for either condition. Participants were not asked about more specific diagnoses (e.g., major depressive disorder, generalized anxiety disorder, etc. . . .) and were not asked if they were receiving pharmacologic or behavioral therapy. We identified participants with significant anxious or depressive symptoms using the HADS assessment tool. We considered a score of 8 or higher for either the depression or anxiety subscores on the HADS as a positive screen result. We chose the cutoff score of 8 because this threshold has been shown to perform well in identifying mood disorders among patients with and without COPD (32, 33). We believed that patients who reported a known diagnosis of anxiety or depression could be significantly different from those with significant anxious or depressive symptoms who did not carry a diagnosis, so we chose to evaluate these two exposures separately in the study subgroups.
Potential Confounders
We identified income, race, marital status, education, age, and obesity as potential confounders of the relationship between mood disorders and appropriate inhaled medication use and accounted for these variables in our analysis (34–40).
Statistical Analysis
We performed separate analyses in the potential overuse and potential underuse subgroups to evaluate the association between depression and anxiety and receipt of low-value care. We first calculated descriptive statistics of the study cohort by performing univariate analyses to determine differences between participant groups with and without the primary outcomes. We considered exposures with a standardized mean difference (SMD) of greater than 0.2 between patients with and without the outcome as having at least a minor effect (41). We then examined the association between both diagnosed anxiety and depression and screened anxiety and depression and the outcome for each subgroup. To remove the effects of confounding when estimating the effects of diagnosed anxiety and depression and treatment decision, we adopted a propensity-score method with inverse probability of treatment weighting (IPTW) to adjust for differences in the prevalence of potential confounders between groups of participants who had received a diagnosis of anxiety or depression to more accurately estimate the effect of that exposure on the outcome of interest for each subgroup (average treatment effect on treated) (42). For analysis of diagnosed anxiety or depression and appropriate treatment decision, we applied propensity-score weights to adjust SMDs less than 0.1 for all potential confounders indicating balance between exposure groups. We used an IPTW logistic regression to evaluate the association of diagnosed anxiety and depression with the primary outcome for each subgroup to obtain adjusted odds ratios (ORs). We used the same logistic regression model without IPTW to evaluate the relationship between screened anxiety and depression and each outcome.
Results
The SPIROMICS study enrolled 2,877 individuals, including tobacco users and nonsmoker control subjects. The cohort included 1,783 individuals with COPD confirmed by spirometry who were eligible for inclusion in our potential overuse and potential underuse cohorts.
Potential Overuse of ICSs Subgroup
FEV1 > 50% predicted, no recent history of exacerbation, no history of asthma, n = 657
Among the 1,783 participants enrolled in the SPIROMICS trial, with COPD confirmed by spirometry, we identified 657 (36.8%) without indication for ICS use (Figure 1A). Participants in this subgroup were predominantly white (87.8%), male (65.9%), and over age 65 (mean, 66.4; standard deviation [SD], 7.6) (Table 1). The mean FEV1 was 75.7% predicted (SD, 16.3), and the mean CAT score was 12.5 (SD, 7.6).
Figure 1.

(A) Development of the potential overuse subgroup. We identified all patients with chronic obstructive pulmonary disease (COPD) confirmed by airflow obstruction at spirometry with no appropriate indication for an inhaled corticosteroid based on the 2011 Global Initiative for Chronic Obstructive Lung Disease statement. (B) Development of the potential underuse subgroup. We identified all patients with COPD confirmed by airflow obstruction on spirometry with an appropriate indication for a long-acting bronchodilator based on the 2011 Global Initiative for Chronic Obstructive Lung Disease statement. FEV1 = forced expiratory volume in 1 second; SPIROMICS = Subpopulations and Intermediate Outcome Measures in COPD Study
Table 1.
Characteristics of study participants
| Subgroup Characteristics | Overall |
|---|---|
| Potential overuse subgroup (n = 657) | |
| Age, mean (SD) | 66.35 (7.63) |
| Sex, male, n (%) | 433 (65.9) |
| Race, white, n (%) | 577 (87.8) |
| FEV1% predicted, mean (SD) | 75.68 (16.30) |
| Obesity, BMI ≥ 30, n (%) | 182 (27.7) |
| Income < 50k, n (%) | 369 (56.2) |
| Education, less than high school, n (%) | 57 (8.7) |
| Marital status, married, n (%) | 338 (51.4) |
| Current smoker, n (%) | 252 (38.4) |
| Screened mood disorder,*n (%) | 179 (27.2) |
| Anxiety | 153 (23.3) |
| Depression | 99 (15.0) |
| Self-reported mood disorder, n (%) | 184 (28.0) |
| Anxiety | 107 (16.3) |
| Depression | 152 (23.1) |
| CAT, mean (SD) | 12.48 (7.55) |
| Potential underuse subgroup (n = 967) | |
| Age, mean (SD) | 64.26 (7.94) |
| Sex, male, n (%) | 536 (55.4) |
| Race, white, n (%) | 788 (81.5) |
| FEV1% predicted, mean (SD) | 57.16 (22.10) |
| Obesity, BMI ≥ 30, n (%) | 283 (29.3) |
| Income < 50k, n (%) | 651 (67.3) |
| Education, less than high school, n (%) | 116 (12.0) |
| Marital status, married, n (%) | 461 (47.7) |
| Current smoker, n (%) | 370 (38.3) |
| Screened mood disorder,*n (%) | 390 (40.3) |
| Anxiety | 311 (32.2) |
| Depression | 245 (25.3) |
| Self-reported mood disorder, n (%) | 338 (35.0) |
| Anxiety | 215 (22.2) |
| Depression | 274 (28.3) |
| CAT, mean (SD) | 18.75 (6.23) |
Definition of abbreviations: 50k = $50,000; BMI = body mass index; CAT = COPD Assessment Test; COPD = chronic obstructive pulmonary disease; FEV1 = forced expiratory volume in 1 second; GOLD = Global Initiative for Chronic Obstructive Lung Disease; HADS = Hospital Anxiety and Depression Scale; ICS = inhaled corticosteroid; SD = standard deviation.
Patients in the potential overuse subgroup had no appropriate indication for an ICS use based on the 2007 and 2011 GOLD statements. Appropriate indications included a history of asthma, a COPD exacerbation in the past year, and/or a post-bronchodilator FEV1 < 50% predicted. Patients in the potential underuse subgroup had an appropriate indication for a long-acting bronchodilator use based on the 2011 GOLD statement. All patients reported a CAT score of 10.
HADS score ≥ 8 for total score, anxiety-specific score, or depression-specific score.
One-quarter of participants in this subgroup screened positive for either anxiety or depression using the HADS (n = 179, 27.2%), and a similar number reported a preexisting diagnosis of either condition (n = 184, 28.0%). Approximately 30% of participants either had a positive screen result or a self-reported a diagnosis of anxiety or depression (n = 203, 30.9% for anxiety; n = 201, 30.6% for depression; Table 2). Among these participants, 23.3% (n = 153) screened positive for anxiety and 16.3% (n = 107) reported an existing diagnosis, whereas 15.1% (n = 99) screened positive for depression and 23.1% (n = 152) reported an existing depression diagnosis. The majority of participants who screened positive for anxiety (62.7%) did not report an existing diagnosis of anxiety, indicating that one in seven (14.6%) participants in the potential overuse subgroup had a potentially undiagnosed anxiety disorder. Half (49.5%) of participants who screened positive for depression did not report an existing diagnosis of depression, indicating that 1 in 13 (7.5%) participants in the potential overuse subgroup had a potentially undiagnosed depressive disorder.
Table 2.
Agreement between self-reported diagnosis and positive screen result for anxiety or depression
| Positive Screen Result | Negative Screen Result | |
|---|---|---|
| Patients without indication for an ICS according to the 2007 and 2011 GOLD statements (n = 657) | ||
| Anxiety | ||
| Self-reported anxiety diagnosis | 57 | 50 |
| No self-reported anxiety diagnosis | 96 | 454 |
| Depression | ||
| Self-reported depression diagnosis | 50 | 102 |
| No self-reported depression diagnosis | 49 | 456 |
| Patients with severe daily dyspnea (CAT score = 10) (n = 967) | ||
| Anxiety | ||
| Self-reported anxiety diagnosis | 116 | 99 |
| No self-reported anxiety diagnosis | 195 | 557 |
| Depression | ||
| Self-reported depression diagnosis | 122 | 152 |
| No self-reported depression diagnosis | 123 | 570 |
Definition of abbreviations: CAT = COPD Assessment Test; COPD = chronic obstructive pulmonary disease; GOLD = Global Initiative for Chronic Obstructive Lung Disease; ICS = inhaled corticosteroid.
One out of four participants in this subgroup (n = 165, 25.1%) reported regular use of an ICS, despite reporting no appropriate indication (Table 3). Patients with overuse of ICSs had lower lung function (FEV1% predicted: 64.8% vs. 78.3%; SMD, 0.68), more severe dyspnea (CAT score: 15.6 vs. 11.4; SMD, 0.59), and were more likely to identify as white (88.5 vs. 87.6; SMD, 0.23) than participants without overuse. Neither self-reported, screened, or potentially undiagnosed anxiety or depression were associated with overuse of ICSs (Table 4). IPTW reduced SMDs to 0.1 or less between exposure groups among those diagnosed with anxiety and depression for calculation of the adjusted ORs (see Figures E1A and E2A in the online supplement). One out of three individuals with overuse of ICSs (31.5%, n = 52) reported ICS monotherapy (Table E1A).
Table 3.
Participant characteristics by overuse of ICSs and underuse of LABDs
| Overall | Overuse or Underuse | No Overuse or Underuse | SMD | |
|---|---|---|---|---|
| Overuse of ICSs in participants without an indication for an ICS according to the 2007 and 2011 GOLD statements |
||||
| n (%) | 657 | 165 (25.1) | 492 (74.9) | |
| Age, mean (SD) | 66.35 (7.63) | 65.61 (7.63) | 66.60 (7.62) | 0.130 |
| Sex, male, n (%) | 433 (65.9) | 107 (64.8) | 326 (66.3) | 0.030 |
| Race, white, n (%) | 577 (87.8) | 146 (88.5) | 431 (87.6) | 0.229 |
| FEV1% predicted, mean (SD) | 75.68 (16.30) | 67.96 (14.18) | 78.27 (16.15) | 0.678 |
| Obesity, BMI ≥ 30, n (%) | 182 (27.7) | 54 (32.7) | 128 (26.0) | 0.148 |
| Income < 50k, n (%) | 369 (56.2) | 97 (58.8) | 272 (55.3) | 0.071 |
| Education, less than high school, n (%) | 57 (8.7) | 12 (7.3) | 45 (9.1) | 0.068 |
| Marital status, married, n (%) | 338 (51.4) | 87 (52.7) | 251 (51.0) | 0.034 |
| Current smoker, n (%) | 252 (38.4) | 54 (32.7) | 198 (40.2) | 0.157 |
| Screened mood disorder,*n (%) | 179 (27.2) | 42 (25.5) | 137 (27.8) | 0.054 |
| Anxiety | 153 (23.3) | 36 (21.8) | 117 (23.8) | 0.047 |
| Depression | 99 (15.0) | 29 (17.6) | 70 (14.2) | 0.092 |
| Self-reported mood disorder, n (%) | 184 (28.0) | 49 (29.7) | 135 (27.4) | 0.050 |
| Anxiety | 107 (16.3) | 29 (17.6) | 78 (15.9) | 0.046 |
| Depression | 152 (23.1) | 40 (24.2) | 112 (22.8) | 0.035 |
| CAT, mean (SD) | 12.48 (7.55) | 15.62 (7.07) | 11.41 (7.42) | 0.589 |
| Underuse of LABDs in participants with an indication for an LABD according to the 2011 GOLD statement |
||||
| n (%) | 967 | 269 (27.8) | 698 (72.2) | |
| Age, mean (SD) | 64.26 (7.94) | 64.35 (7.93) | 64.23 (7.95) | 0.016 |
| Sex, male, n (%) | 536 (55.4) | 149 (55.4) | 387 (55.4) | 0.001 |
| Race, white, n (%) | 788 (81.5) | 211 (78.4) | 577 (82.7) | 0.173 |
| FEV1% predicted, mean (SD) | 57.16 (22.10) | 49.18 (19.89) | 60.24 (22.15) | 0.525 |
| Obesity, BMI ≥ 30, n (%) | 283 (29.3) | 75 (27.9) | 208 (29.8) | 0.042 |
| Income < 50k, n (%) | 651 (67.3) | 180 (66.9) | 471 (67.5) | 0.012 |
| Education, less than high school, n (%) | 116 (12.0) | 31 (11.5) | 85 (12.2) | 0.020 |
| Marital status, married, n (%) | 461 (47.7) | 131 (48.7) | 330 (47.3) | 0.028 |
| Current smoker, n (%) | 370 (38.3) | 73 (27.1) | 297 (42.6) | 0.328 |
| Screened mood disorder,*n (%) | 390 (40.3) | 103 (38.3) | 287 (41.1) | 0.058 |
| Anxiety | 311 (32.2) | 77 (28.6) | 234 (33.5) | 0.106 |
| Depression | 245 (25.3) | 71 (26.4) | 174 (24.9) | 0.034 |
| Self-reported mood disorder, n (%) | 338 (35.0) | 93 (34.6) | 245 (35.1) | 0.011 |
| Anxiety | 215 (22.2) | 67 (24.9) | 148 (21.2) | 0.088 |
| Depression | 274 (28.3) | 73 (27.1) | 201 (28.8) | 0.037 |
| CAT, mean (SD) | 18.75 (6.23) | 19.74 (6.67) | 18.36 (6.02) | 0.217 |
| Hospitalized for exacerbation in year before enrollment, n (%) | 110 (11.4) | 42 (15.6) | 68 (9.7) | 0.177 |
Definition of abbreviations: 50k = $50,000; BMI = body mass index; CAT = COPD Assessment Test; COPD = chronic obstructive pulmonary disease; FEV1 = forced expiratory volume in 1 second; GOLD = Global Initiative for Chronic Obstructive Lung Disease; HADS = Hospital Anxiety and Depression Scale; ICS = inhaled corticosteroid; LABD = long-acting bronchodilator; SD = standard deviation; SMD = standardized mean difference.
Participants experiencing overuse of ICSs had lower FEV1 values and more COPD-specific symptoms. Participants experiencing underuse of LABDs had high post-bronchodilator FEV1 values but similar COPD-specific symptom scores.
HADS score ≥ 8 for total score, anxiety-specific score, or depression-specific score.
Table 4.
Neither self-reported nor screened anxiety and depression are associated with overuse of ICSs or underuse of LABDs
| OR (95% CI) | P Value | AOR (95% CI) | P Value | |
|---|---|---|---|---|
| Overuse of ICSs in participants without indication for ICS use |
||||
| Self-reported mood disorder | 1.12 (0.76–1.65) | 0.58 | 1 (0.63–1.58) | 0.99 |
| Self-reported anxiety | 1.13 (0.71–1.81) | 0.60 | 1.03 (0.62–1.71) | 0.90 |
| Self-reported depression | 1.09 (0.72–1.64) | 0.70 | 0.97 (0.61–1.55) | 0.90 |
| Screened mood disorder | 0.89 (0.59–1.37) | 0.61 | 0.92 (0.57–1.49) | 0.75 |
| Screened anxiety | 0.91 (0.6–1.39) | 0.66 | 0.91 (0.56–1.5) | 0.72 |
| Screened depression | 1.29 (0.8–2.07) | 0.30 | 1.38 (0.81–2.36) | 0.24 |
| Screened positive without self-reported diagnosis | 0.89 (0.52–1.52) | 0.67 | 1.21 (0.61–2.39) | 0.59 |
| Underuse in participants with indication for LABD use | ||||
| Self-reported mood disorder | 0.98 (0.73–1.31) | 0.8 | 1.1 (0.78–1.54) | 0.60 |
| Self-reported anxiety | 1.23 (0.89–1.72) | 0.22 | 1.39 (0.97–2) | 0.07 |
| Self-reported depression | 0.92 (0.67–1.26) | 0.61 | 1.0 (0.71–1.41) | 0.99 |
| Screened mood disorder | 0.89 (0.67–1.19) | 0.42 | 0.91 (0.65–1.28) | 0.58 |
| Screened anxiety | 0.8 (0.58–1.08) | 0.14 | 0.79 (0.55–1.13) | 0.20 |
| Screened depression | 1.08 (0.78–1.49) | 0.64 | 1.09 (0.76–1.57) | 0.64 |
| Screened positive without self-reported diagnosis | 0.81 (0.56–1.17) | 0.25 | 0.7 (0.43–1.13) | 0.14 |
Definition of abbreviations: AOR = adjusted OR; CI = confidence interval; GOLD = Global Initiative for Chronic Obstructive Lung Disease; ICS = inhaled corticosteroid; LABD = long-acting bronchodilator; OR = odds ratio. Indications for use are based on the 2011 GOLD statement.
Potential Underuse Subgroup
CAT score ≥ 10, n = 967
Among the 1,783 participants enrolled in the SPIROMICS trial, with COPD confirmed by spirometry, we identified 967 (54.2%) participants with significant dyspnea (CAT score ≥ 10, Figure 1B). Participants in this subgroup were predominantly white (81.5%), male (55.4%), and over the age of 64 (mean, 64.3; SD, 7.9) (Table 1). The mean FEV1 was 57.2% predicted (SD, 22.1), and the mean CAT score was 18.8 (SD, 6.2). In this subgroup, 11.4% of participants had been hospitalized for an exacerbation in the year before enrollment.
Forty percent of participants (n = 400, 40.6%; Table 2) screened positive for anxiety or depression, whereas only 35.0% (n = 338) of participants reported a preexisting diagnosis. Among these participants 32.2% (n = 311) screened positive for anxiety and 25.3% (n = 245) screened positive for depression, whereas 22.2% (n = 215) reported a diagnosis of anxiety and 28.3% (n = 274) reported a diagnosis of depression. Approximately 40% of participants either screened positive or had a preexisting diagnosis of anxiety (n = 410, 42.4%; Table 2) or depression (n = 397, 41.1%). The majority of participants who screened positive for anxiety (63%) did not have a preexisting diagnosis of anxiety, indicating that one in five (20.2%) participants in this subgroup had potentially undiagnosed anxiety. Half (50.2%) of participants who screened positive for depression did not report a preexisting diagnosis of depression, indicating that one in eight (12.7%) participants in this subgroup had potentially undiagnosed depression.
Nearly 3 out of 10 participants with CAT scores ≥10 (27.8%, n = 279) denied using an LABD regularly (Table 3). Participants with underuse had worse lung function (FEV1% predicted: 48.9% vs. 60.2%; SMD, 0.54), more severe dyspnea (CAT score: 19.9 vs. 18.4; SMD, 0.24), and were less likely to be current smokers (27.1% vs. 42.6%; SMD, 0.33) than participants on an LABD. Self-reported, screened, and potentially undiagnosed anxiety and depression were not associated with underuse of LABDs (Table 4). IPTW reduced SMDs to 0.1 or less between exposure groups among those diagnosed with anxiety and depression for calculation of the adjusted ORs (Figures E1B and E2B). Three out of four individuals not using an LABD (75.3%, n = 210) were using ICS monotherapy, including 20% of individuals without recent exacerbation (Table E1B).
Discussion
Among outpatients with spirometrically confirmed COPD, we found that overuse and underuse of appropriate medications is common, suggesting that the overall quality of care is low. However, our study did not find that the substantial burden of diagnosed and undiagnosed anxiety and depression explains this gap in care quality. In addition, the prevalence of both diagnosed and undiagnosed anxiety and depression was high, even among outpatients with mild manifestations of COPD. Our study demonstrates multiple opportunities to improve the quality of care and quality of life of outpatients with COPD.
Ours is the first study that we are aware of to investigate the link between anxiety and depression and the quality of care experienced by patients with COPD in order to determine whether low-quality care could explain the previously observed links between these conditions and disease-specific COPD outcomes (e.g., dyspnea and exacerbation). Taken together, the self-reported underuse of LABDs among patients with COPD and the underdiagnosis of significant anxiety and depression symptoms suggest that providers and patients are not effectively assessing or discussing patient symptoms. More than half of the patients with COPD enrolled in this study reported significant daily dyspnea (CAT score ≥ 10), and yet 30% of these patients were not using an LABD. Among individuals not on an LABD, 75% received ICS monotherapy, which has not been recommended for management of COPD, suggesting that the patients with more severe COPD symptoms are receiving the lowest quality of care. Similarly, a majority of patients with significant mood-disorder symptoms were undiagnosed or unaware of their diagnosis. Although we found that there is no direct link between the quality of the care received and comorbid anxiety and depression, we found that a high proportion of patients with significant anxious or depressive symptoms are underdiagnosed and that a high proportion of patients with severe dyspnea symptoms are currently undertreated.
Our findings suggest that both anxiety and depression occur in higher rates among patients with mild COPD than in the general population and that a large proportion of patients are potentially unaware of and untreated for these diagnoses. We found that patients with mild COPD and no recent exacerbation are significantly more likely to report a diagnosis of depression than members of the general population in the United States and nearly twice as likely to either report a diagnosis or screen positive (38). Half of those with COPD and significant depressive symptoms have not received a diagnosis or are unaware of the diagnosis. The prevalence of diagnosed anxiety was lower in this group than in the overall population in the United States, yet the overall prevalence of serious anxiety symptoms was high, with nearly half of patients who screened positive receiving no diagnosis or treatment (38). Adding to prior studies that evaluated patients with severe COPD, we found that even patients with mild manifestations of COPD have increased odds of anxiety and depression (5–7). Our findings also suggest that providers may be better at identifying depression in patients with mild COPD than they are at identifying anxiety in such patients. A possible explanation is that, when providers and patients do engage in a discussion of symptoms, patients may report symptoms of anxiety that appear to overlap with those of dyspnea (e.g., tachypnea, tachycardia, light-headedness) and do not respond to appropriate disease-specific COPD therapy (e.g., a short-acting bronchodilator), occasionally leading providers to escalate disease-specific COPD therapy without investigating whether the symptoms may not be somatic (43). Some providers may add an unnecessary second LABD, whereas others add an ICS, a heterogeneity that could explain the lack of association in our analysis of overuse. However, as we are unable identify overuse of LABD therapy, we cannot be certain how often this misattribution of symptoms occurs. It is not clear whether primary care physicians or pulmonologists are better at recognizing undiagnosed or untreated mental health symptoms in their patients with COPD, suggesting that solutions targeted at improving mental health care for patients with COPD must not rely on one group of providers more than the other to improve care quality but must foster a collaborative approach to manage this complex patient population.
Limitations
Despite our study having many strengths, there were potential limitations of this observational study. The availability of a single year of look-back may have potentially misclassified overuse for patients enrolled after 2011. To minimize the risk of misclassification, we excluded individuals from the potential overuse cohort with an FEV1 < 50%, which was required for appropriate ICS initiation in the 2007 GOLD statement and remained an appropriate indication for ICS use under the 2011 statement (30). The 2011 statement also recommended ICSs for patients with one or more inpatient or two or more outpatient exacerbations in the prior year, which led us to exclude individuals with any exacerbation in the prior year (44). Neither guideline indicated whether patients should be continued on this medication after completing 365 days of therapy without an exacerbation. The 2019 GOLD statement was the first to explicitly recommend deescalation of ICS use (45). However, there was considerable evidence available in 2010 that long-acting muscarinic-antagonist therapy was as effective as ICS therapy at preventing exacerbations and that ICS therapy came with an increased risk of pneumonia and other adverse events (46–48). In addition, in 2014, multiple trials demonstrated that ICS therapy can be safely discontinued among individuals who no longer experience severe exacerbations (49–51). In light of the evidence available to providers during the study and our current understanding of the risks and benefits of ICS therapy, we believe that our definition of overuse captures the provision of low-value care. In addition, our study is potentially limited by patient recall and stigma surrounding mental health diagnoses. Patients may not recall receiving a diagnosis of depression or anxiety or may be ashamed to admit this diagnosis to study personnel. To overcome this limitation, we evaluated both self-reported diagnosis and screened symptoms to capture the majority of patients with anxiety and depression. There may have been residual misclassification among patients who did not remember or were ashamed to admit their diagnosis but whose symptoms were being effectively managed with treatment. However, although prior studies have demonstrated that patients often underreport depressive symptoms, they do not suggest that patients would underreport established diagnoses (52). Medication recall and health literacy, which was not assessed in this study, potentially limit our ability to accurately assess our primary outcomes, as we relied on self-reported data rather than pharmacy dispensation data to determine COPD medication use. However, our observed rates of overuse and underuse were similar to those of prior studies that examined inhaled therapies among patients with COPD using pharmacy dispensation data (15, 53). When evaluating underuse of LABD therapy, we could not ascertain whether a patient self-discontinued an LABD or was never prescribed one. As all patients in this study underwent spirometry confirming the presence of airflow obstruction, they had already received a higher quality of care than most individuals with diagnosed COPD and are more likely, therefore, to receive appropriate medications (54, 55). Finally, it is possible that more medically complex patients with a higher number of comorbidities (e.g., hypertension, coronary artery disease, diabetes, etc.) would receive lower-quality outpatient care for COPD. However, the literature is mixed on this subject (56). We therefore did not include other comorbidities in our analysis, which is a potential limitation.
Conclusions
In summary, we found that undertreated COPD symptoms and undiagnosed anxiety and depression are common among patients with COPD. Both conditions require effective patient and provider communication for appropriate assessments of disease severity to be made. Ideally, both primary care and pulmonary providers would improve their adherence to the depression and anxiety screening recommendations put forward by the U.S. Preventative Services Task Force, National Institutes of Health, and Society for Hospitalist Medicine, which suggest routine screening of all adults and recommend the use of therapies that effectively address both mood disorders and COPD (e.g., pulmonary rehabilitation) instead of reliance on pharmacotherapy alone for those adults with COPD (57–61). However, primary care providers and pulmonologists face substantial time constraints and have priorities that shift care away from evaluating mental health symptoms and quantifying dyspnea severity. These competing priorities lead to prioritization of other conditions, undertreatment of symptoms, and use of potentially inappropriate therapies (15, 62–68). Therefore, for patients with COPD, we advocate decentralizing both the burden of evaluation and referral for mental health symptoms and the burden of management of symptoms of chronic severe dyspnea. There are multiple potential strategies that would accomplish this goal, including proactive models of mental health and pulmonary consultation for patients with COPD that are focused on identifying and referring populations of patients who would benefit from specialist care rather than relying on referrals of individual patients, as well as complex dyspnea clinics staffed by mental health and internal medicine specialty providers (pulmonary and/or palliative care) that specialize in managing patients with symptomatic lung disease. We are currently evaluating the effectiveness, feasibility, and acceptability of these programs in multiple healthcare systems (69, 70). Given the projected shortage of pulmonologists and mental health providers, we prefer that these interventions be delivered through virtual consultation, which has been effective in identifying patients and recommending treatment for other conditions (71–74). Proactively consulting appropriate pulmonary and mental health providers and creating complex dyspnea clinics to assist in the management of patients with comorbid dyspnea and mental health symptoms has the potential to maximize the potential for symptom relief among patients with chronic disease (75).
Supplementary Material
Footnotes
Supported by the U.S. National Institutes of Health grant K12 HL137940. The views expressed here are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs. This manuscript was prepared using SPIROMICS (Subpopulations and Intermediate Outcome Measures in Chronic Obstructive Pulmonary Disease Study) research materials obtained from the U.S. National Heart, Lung, and Blood Institute (NHLBI) Biologic Specimen and Data Repository Information Coordinating Center and does not necessarily reflect the opinions or views of SPIROMICS or the NHLBI.
Author Contributions: M.F.G., L.C.F., L.J.S., L.M.D., D.H.A., and E.P.C. were responsible for the conception and design of the work. H.-Y.P.C. and E.P.C. were responsible for data acquisition and analysis. M.F.G., D.B.B., L.C.F., L.J.S., and L.M.D. were responsible for interpretation of data. M.F.G. and H.-Y.P.C. drafted the work, and all other authors were responsible for critical revision. All authors provided final approval for the version to be published. All authors agree to be accountable for all aspects of the work, including ensuring that questions related to accuracy or integrity of any part of the work are appropriately investigated and resolved.
This article has an online supplement, which is accessible from this issue’s table of contents at www.atsjournals.org.
Author disclosures are available with the text of this article at www.atsjournals.org.
References
- 1.Miyazaki M, Nakamura H, Chubachi S, Sasaki M, Haraguchi M, Yoshida S, et al. Keio COPD Comorbidity Research (K-CCR) Group. Analysis of comorbid factors that increase the COPD assessment test scores. Respir Res. 2014;15:13. doi: 10.1186/1465-9921-15-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Cully JA, Graham DP, Stanley MA, Ferguson CJ, Sharafkhaneh A, Souchek J, et al. Quality of life in patients with chronic obstructive pulmonary disease and comorbid anxiety or depression. Psychosomatics. 2006;47:312–319. doi: 10.1176/appi.psy.47.4.312. [DOI] [PubMed] [Google Scholar]
- 3.Divo M, Cote C, de Torres JP, Casanova C, Marin JM, Pinto-Plata V, et al. BODE Collaborative Group. Comorbidities and risk of mortality in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2012;186:155–161. doi: 10.1164/rccm.201201-0034OC. [DOI] [PubMed] [Google Scholar]
- 4.Jang SM, Kim KU, Na HJ, Song SE, Lee SH, Lee H, et al. Depression is a major determinant of both disease-specific and generic health-related quality of life in people with severe COPD. Chron Respir Dis. 2019;16:1479972318775422. doi: 10.1177/1479972318775422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Almagro P, Calbo E, Ochoa de Echagüen A, Barreiro B, Quintana S, Heredia JL, et al. Mortality after hospitalization for COPD. Chest. 2002;121:1441–1448. doi: 10.1378/chest.121.5.1441. [DOI] [PubMed] [Google Scholar]
- 6.Ng TP, Niti M, Tan WC, Cao Z, Ong KC, Eng P. Depressive symptoms and chronic obstructive pulmonary disease: effect on mortality, hospital readmission, symptom burden, functional status, and quality of life. Arch Intern Med. 2007;167:60–67. doi: 10.1001/archinte.167.1.60. [DOI] [PubMed] [Google Scholar]
- 7.Xu W, Collet JP, Shapiro S, Lin Y, Yang T, Platt RW, et al. Independent effect of depression and anxiety on chronic obstructive pulmonary disease exacerbations and hospitalizations. Am J Respir Crit Care Med. 2008;178:913–920. doi: 10.1164/rccm.200804-619OC. [DOI] [PubMed] [Google Scholar]
- 8.Sharif R, Parekh TM, Pierson KS, Kuo YF, Sharma G. Predictors of early readmission among patients 40 to 64 years of age hospitalized for chronic obstructive pulmonary disease. Ann Am Thorac Soc. 2014;11:685–694. doi: 10.1513/AnnalsATS.201310-358OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Matte DL, Pizzichini MM, Hoepers AT, Diaz AP, Karloh M, Dias M, et al. Prevalence of depression in COPD: a systematic review and meta-analysis of controlled studies. Respir Med. 2016;117:154–161. doi: 10.1016/j.rmed.2016.06.006. [DOI] [PubMed] [Google Scholar]
- 10.Westerik JA, Metting EI, van Boven JF, Tiersma W, Kocks JW, Schermer TR. Associations between chronic comorbidity and exacerbation risk in primary care patients with COPD. Respir Res. 2017;18:31. doi: 10.1186/s12931-017-0512-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Quint JK, Baghai-Ravary R, Donaldson GC, Wedzicha JA. Relationship between depression and exacerbations in COPD. Eur Respir J. 2008;32:53–60. doi: 10.1183/09031936.00120107. [DOI] [PubMed] [Google Scholar]
- 12.Iyer AS, Bhatt SP, Garner JJ, Wells JM, Trevor JL, Patel NM, et al. Depression is associated with readmission for acute exacerbation of chronic obstructive pulmonary disease. Ann Am Thorac Soc. 2016;13:197–203. doi: 10.1513/AnnalsATS.201507-439OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Barnes PJ, Celli BR. Systemic manifestations and comorbidities of COPD. Eur Respir J. 2009;33:1165–1185. doi: 10.1183/09031936.00128008. [DOI] [PubMed] [Google Scholar]
- 14.Bailey PH. The dyspnea-anxiety-dyspnea cycle—COPD patients’ stories of breathlessness: “It’s scary/when you can’t breathe.”. Qual Health Res. 2004;14:760–778. doi: 10.1177/1049732304265973. [DOI] [PubMed] [Google Scholar]
- 15.Griffith MF, Feemster LC, Zeliadt SB, Donovan LM, Spece LJ, Udris EM, et al. Overuse and misuse of inhaled corticosteroids among veterans with COPD: a cross-sectional study evaluating targets for de-implementation. J Gen Intern Med. 2020;35:679–686. doi: 10.1007/s11606-019-05461-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lindenauer PK, Pekow P, Gao S, Crawford AS, Gutierrez B, Benjamin EM. Quality of care for patients hospitalized for acute exacerbations of chronic obstructive pulmonary disease. Ann Intern Med. 2006;144:894–903. doi: 10.7326/0003-4819-144-12-200606200-00006. [DOI] [PubMed] [Google Scholar]
- 17.Joo MJ, Au DH, Fitzgibbon ML, McKell J, Lee TA. Determinants of spirometry use and accuracy of COPD diagnosis in primary care. J Gen Intern Med. 2011;26:1272–1277. doi: 10.1007/s11606-011-1770-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Spitzer KA, Stefan MS, Priya A, Pack QR, Pekow PS, Lagu T, et al. Participation in pulmonary rehabilitation after hospitalization for chronic obstructive pulmonary disease among Medicare beneficiaries. Ann Am Thorac Soc. 2019;16:99–106. doi: 10.1513/AnnalsATS.201805-332OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Chassin MR, Galvin RW Institute of Medicine National Roundtable on Health Care Quality. The urgent need to improve health care quality. JAMA. 1998;280:1000–1005. doi: 10.1001/jama.280.11.1000. [DOI] [PubMed] [Google Scholar]
- 20.Ciechanowski PS, Katon WJ, Russo JE. Depression and diabetes: impact of depressive symptoms on adherence, function, and costs. Arch Intern Med. 2000;160:3278–3285. doi: 10.1001/archinte.160.21.3278. [DOI] [PubMed] [Google Scholar]
- 21.Moise N, Ye S, Alcántara C, Davidson KW, Kronish I. Depressive symptoms and decision-making preferences in patients with comorbid illnesses. J Psychosom Res. 2017;92:63–66. doi: 10.1016/j.jpsychores.2015.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Abar B, Holub A, Lee J, DeRienzo V, Nobay F. Depression and anxiety among emergency department patients: utilization and barriers to care. Acad Emerg Med. 2017;24:1286–1289. doi: 10.1111/acem.13261. [DOI] [PubMed] [Google Scholar]
- 23.Elrashidi MY, Philpot LM, Ramar P, Leasure WB, Ebbert JO. Depression and anxiety among patients on chronic opioid therapy. Health Serv Res Manag Epidemiol. 2018;5:2333392818771243. doi: 10.1177/2333392818771243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Manderbacka K, Arffman M, Sund R, Haukka J, Keskimäki I, Wahlbeck K. How does a history of psychiatric hospital care influence access to coronary care: a cohort study. BMJ Open. 2012;2:e000831. doi: 10.1136/bmjopen-2012-000831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Pirraglia PA, Sanyal P, Singer DE, Ferris TG. Depressive symptom burden as a barrier to screening for breast and cervical cancers. J Womens Health (Larchmt) 2004;13:731–738. doi: 10.1089/jwh.2004.13.731. [DOI] [PubMed] [Google Scholar]
- 26.Ghomrawi HMK, Mushlin AI, Kang R, Banerjee S, Singh JA, Sharma L, et al. Examining timeliness of total knee replacement among patients with knee osteoarthritis in the U.S.: results from the OAI and MOST longitudinal cohorts. J Bone Joint Surg Am. 2020;102:468–476. doi: 10.2106/JBJS.19.00432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Couper D, LaVange LM, Han M, Barr RG, Bleecker E, Hoffman EA, et al. SPIROMICS Research Group. Design of the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS) Thorax. 2014;69:491–494. doi: 10.1136/thoraxjnl-2013-203897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Woodruff PG, Barr RG, Bleecker E, Christenson SA, Couper D, Curtis JL, et al. SPIROMICS Research Group. Clinical significance of symptoms in smokers with preserved pulmonary function. N Engl J Med. 2016;374:1811–1821. doi: 10.1056/NEJMoa1505971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Vestbo J, Hurd SS, Rodriguez-Roisin R. The 2011 revision of the global strategy for the diagnosis, management and prevention of COPD (GOLD): why and what? Clin Respir J. 2012;6:208–214. doi: 10.1111/crj.12002. [DOI] [PubMed] [Google Scholar]
- 30.Rabe KF, Hurd S, Anzueto A, Barnes PJ, Buist SA, Calverley P, et al. Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2007;176:532–555. doi: 10.1164/rccm.200703-456SO. [DOI] [PubMed] [Google Scholar]
- 31.Global Initiative for Chronic Obstructive Lung Disease (GOLD) Fontana, WI: Global Initiative for Obstructive Lung Disease; 2016. Global strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease: 2017 report. [Google Scholar]
- 32.Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale: an updated literature review. J Psychosom Res. 2002;52:69–77. doi: 10.1016/s0022-3999(01)00296-3. [DOI] [PubMed] [Google Scholar]
- 33.Baker AM, Holbrook JT, Yohannes AM, Eakin MN, Sugar EA, Henderson RJ, et al. American Lung Association Airways Clinical Research Centers. Test performance characteristics of the AIR, GAD-7, and HADS-anxiety screening questionnaires for anxiety in chronic obstructive pulmonary disease. Ann Am Thorac Soc. 2018;15:926–934. doi: 10.1513/AnnalsATS.201708-631OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Luppino FS, de Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx BW, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67:220–229. doi: 10.1001/archgenpsychiatry.2010.2. [DOI] [PubMed] [Google Scholar]
- 35.Sareen J, Afifi TO, McMillan KA, Asmundson GJ. Relationship between household income and mental disorders: findings from a population-based longitudinal study. Arch Gen Psychiatry. 2011;68:419–427. doi: 10.1001/archgenpsychiatry.2011.15. [DOI] [PubMed] [Google Scholar]
- 36.Alonso J, Angermeyer MC, Bernert S, Bruffaerts R, Brugha TS, Bryson H, et al. ESEMeD/MHEDEA 2000 Investigators, European Study of the Epidemiology of Mental Disorders (ESEMeD) Project. Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Psychiatr Scand Suppl. 2004;(420):21–27. doi: 10.1111/j.1600-0047.2004.00327.x. [DOI] [PubMed] [Google Scholar]
- 37.Wells K, Klap R, Koike A, Sherbourne C. Ethnic disparities in unmet need for alcoholism, drug abuse, and mental health care. Am J Psychiatry. 2001;158:2027–2032. doi: 10.1176/appi.ajp.158.12.2027. [DOI] [PubMed] [Google Scholar]
- 38.Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the national comorbidity survey replication. Arch Gen Psychiatry. 2005;62:593–602. doi: 10.1001/archpsyc.62.6.593. [Published erratum appears in Arch Gen Psychiatry 62:768.] [DOI] [PubMed] [Google Scholar]
- 39.Kressin NR, Groeneveld PW. Race/Ethnicity and overuse of care: a systematic review. Milbank Q. 2015;93:112–138. doi: 10.1111/1468-0009.12107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Schmidt ML, Spencer MD, Davidson LE. Patient, provider, and practice characteristics associated with inappropriate antimicrobial prescribing in ambulatory practices. Infect Control Hosp Epidemiol. 2018;39:307–315. doi: 10.1017/ice.2017.263. [DOI] [PubMed] [Google Scholar]
- 41.Faraone SV. Interpreting estimates of treatment effects: implications for managed care. P&T. 2008;33:700–711. [PMC free article] [PubMed] [Google Scholar]
- 42.Zhang Z, Kim HJ, Lonjon G, Zhu Y AME Big-Data Clinical Trial Collaborative Group. Balance diagnostics after propensity score matching. Ann Transl Med. 2019;7:16. doi: 10.21037/atm.2018.12.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Bekhuis E, Boschloo L, Rosmalen JG, Schoevers RA. Differential associations of specific depressive and anxiety disorders with somatic symptoms. J Psychosom Res. 2015;78:116–122. doi: 10.1016/j.jpsychores.2014.11.007. [DOI] [PubMed] [Google Scholar]
- 44.Vestbo J, Hurd SS, Agustí AG, Jones PW, Vogelmeier C, Anzueto A, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2013;187:347–365. doi: 10.1164/rccm.201204-0596PP. [DOI] [PubMed] [Google Scholar]
- 45.Global Initiative for Chronic Obstructive Lung Disease (GOLD) Fontana, WI: Global Initiative for Obstructive Lung Disease; 2018. Global strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease: 2019 report. [Google Scholar]
- 46.Wedzicha JA, Calverley PM, Seemungal TA, Hagan G, Ansari Z, Stockley RA INSPIRE Investigators. The prevention of chronic obstructive pulmonary disease exacerbations by salmeterol/fluticasone propionate or tiotropium bromide. Am J Respir Crit Care Med. 2008;177:19–26. doi: 10.1164/rccm.200707-973OC. [DOI] [PubMed] [Google Scholar]
- 47.Tashkin DP, Celli B, Senn S, Burkhart D, Kesten S, Menjoge S, et al. UPLIFT Study Investigators. A 4-year trial of tiotropium in chronic obstructive pulmonary disease. N Engl J Med. 2008;359:1543–1554. doi: 10.1056/NEJMoa0805800. [DOI] [PubMed] [Google Scholar]
- 48.Calverley PM, Anderson JA, Celli B, Ferguson GT, Jenkins C, Jones PW, et al. TORCH investigators. Salmeterol and fluticasone propionate and survival in chronic obstructive pulmonary disease. N Engl J Med. 2007;356:775–789. doi: 10.1056/NEJMoa063070. [DOI] [PubMed] [Google Scholar]
- 49.Magnussen H, Disse B, Rodriguez-Roisin R, Kirsten A, Watz H, Tetzlaff K, et al. WISDOM Investigators. Withdrawal of inhaled glucocorticoids and exacerbations of COPD. N Engl J Med. 2014;371:1285–1294. doi: 10.1056/NEJMoa1407154. [DOI] [PubMed] [Google Scholar]
- 50.Rossi A, van der Molen T, del Olmo R, Papi A, Wehbe L, Quinn M, et al. INSTEAD: a randomised switch trial of indacaterol versus salmeterol/fluticasone in moderate COPD. Eur Respir J. 2014;44:1548–1556. doi: 10.1183/09031936.00126814. [DOI] [PubMed] [Google Scholar]
- 51.Rossi A, Guerriero M, Corrado A OPTIMO/AIPO Study Group. Withdrawal of inhaled corticosteroids can be safe in COPD patients at low risk of exacerbation: a real-life study on the appropriateness of treatment in moderate COPD patients (OPTIMO) Respir Res. 2014;15:77. doi: 10.1186/1465-9921-15-77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Hunt M, Auriemma J, Cashaw AC. Self-report bias and underreporting of depression on the BDI-II. J Pers Assess. 2003;80:26–30. doi: 10.1207/S15327752JPA8001_10. [DOI] [PubMed] [Google Scholar]
- 53.Di Martino M, Agabiti N, Bauleo L, Kirchmayer U, Cascini S, Pistelli R, et al. OUTPUL Study Group. Use patterns of long-acting bronchodilators in routine COPD care: the OUTPUL study. COPD. 2014;11:414–423. doi: 10.3109/15412555.2013.839646. [DOI] [PubMed] [Google Scholar]
- 54.Gershon AS, Hwee J, Croxford R, Aaron SD, To T. Patient and physician factors associated with pulmonary function testing for COPD: a population study. Chest. 2014;145:272–281. doi: 10.1378/chest.13-0790. [DOI] [PubMed] [Google Scholar]
- 55.Gershon AS, Thiruchelvam D, Chapman KR, Aaron SD, Stanbrook MB, Bourbeau J, et al. Canadian Respiratory Research Network. Health services burden of undiagnosed and overdiagnosed COPD. Chest. 2018;153:1336–1346. doi: 10.1016/j.chest.2018.01.038. [DOI] [PubMed] [Google Scholar]
- 56.Zulman DM, Asch SM, Martins SB, Kerr EA, Hoffman BB, Goldstein MK. Quality of care for patients with multiple chronic conditions: the role of comorbidity interrelatedness. J Gen Intern Med. 2014;29:529–537. doi: 10.1007/s11606-013-2616-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Lindenauer PKAD, Chang WW, LaBrin JE, Mularski RA, Press VG.editors. Chronic obstructive pulmonary disease program implementation guide Philadelphia, PA: Society of Hospital Medicine Center for Hospital Innovation and Improvement; 2016 [Google Scholar]
- 58.National Heart, Lung, and Blood Institute. Bethesda, MD: National Institutes of Health; 2018. COPD national action plan. [Google Scholar]
- 59.Paz-Díaz H, Montes de Oca M, López JM, Celli BR. Pulmonary rehabilitation improves depression, anxiety, dyspnea and health status in patients with COPD. Am J Phys Med Rehabil. 2007;86:30–36. doi: 10.1097/phm.0b013e31802b8eca. [DOI] [PubMed] [Google Scholar]
- 60.Yohannes AM, Alexopoulos GS. Pharmacological treatment of depression in older patients with chronic obstructive pulmonary disease: impact on the course of the disease and health outcomes. Drugs Aging. 2014;31:483–492. doi: 10.1007/s40266-014-0186-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Pollok J, van Agteren JE, Carson-Chahhoud KV. Pharmacological interventions for the treatment of depression in chronic obstructive pulmonary disease. Cochrane Database Syst Rev. 2018;12:CD012346. doi: 10.1002/14651858.CD012346.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Joo MJ, Sharp LK, Au DH, Lee TA, Fitzgibbon ML. Use of spirometry in the diagnosis of COPD: a qualitative study in primary care. COPD. 2013;10:444–449. doi: 10.3109/15412555.2013.766683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.van Rijswijk E, van Hout H, van de Lisdonk E, Zitman F, van Weel C. Barriers in recognising, diagnosing and managing depressive and anxiety disorders as experienced by Family Physicians; a focus group study. BMC Fam Pract. 2009;10:52. doi: 10.1186/1471-2296-10-52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Enocson A, Jolly K, Jordan RE, Fitzmaurice DA, Greenfield SM, Adab P. Case-finding for COPD in primary care: a qualitative study of patients’ perspectives. Int J Chron Obstruct Pulmon Dis. 2018;13:1623–1632. doi: 10.2147/COPD.S147718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Stryczek K, Lea C, Gillespie C, Sayre G, Wanner S, Rinne ST, et al. De-implementing inhaled corticosteroids to improve care and safety in COPD treatment: primary care providers’ perspectives. J Gen Intern Med. 2020;35:51–56. doi: 10.1007/s11606-019-05193-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Walters JA, Hansen EC, Walters EH, Wood-Baker R. Under-diagnosis of chronic obstructive pulmonary disease: a qualitative study in primary care. Respir Med. 2008;102:738–743. doi: 10.1016/j.rmed.2007.12.008. [DOI] [PubMed] [Google Scholar]
- 67.Samples H, Stuart EA, Saloner B, Barry CL, Mojtabai R. The role of screening in depression diagnosis and treatment in a representative sample of US primary care visits. J Gen Intern Med. 2020;35:12–20. doi: 10.1007/s11606-019-05192-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Gershon AS, Macdonald EM, Luo J, Austin PC, Gupta S, Sivjee K, et al. Concomitant pulmonologist and primary care for chronic obstructive pulmonary disease: a population study. Fam Pract. 2017;34:708–716. doi: 10.1093/fampra/cmx058. [DOI] [PubMed] [Google Scholar]
- 69.Graney BA, Au DH, Barón AE, Cheng A, Combs SA, Glorioso TJ, et al. Advancing Symptom Alleviation with Palliative Treatment (ADAPT) trial to improve quality of life: a study protocol for a randomized clinical trial. Trials. 2019;20:355. doi: 10.1186/s13063-019-3417-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Parikh TJ, Stryczek KC, Gillespie C, Sayre GG, Feemster L, Udris E, et al. Provider anticipation and experience of patient reaction when deprescribing guideline discordant inhaled corticosteroids. PLoS One. 2020;15:e0238511. doi: 10.1371/journal.pone.0238511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Lee RH, Lyles KW, Pearson M, Barnard K, Colón-Emeric C. Osteoporosis screening and treatment among veterans with recent fracture after implementation of an electronic consult service. Calcif Tissue Int. 2014;94:659–664. doi: 10.1007/s00223-014-9849-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Fihn SD, Bucher JB, McDonell M, Diehr P, Rumsfeld JS, Doak M, et al. Collaborative care intervention for stable ischemic heart disease. Arch Intern Med. 2011;171:1471–1479. doi: 10.1001/archinternmed.2011.372. [DOI] [PubMed] [Google Scholar]
- 73.National Council Medical Director Institute. Washington, DC: National Council for Behavioral Health; 2017. The psychiatric shortage: causes and solutions. [Google Scholar]
- 74.National Center for Health Workforce Analysis, Health Resources and Services Administration, U.S. Department for Health and Human Services. National and regional projections for supply and demand for internal medicine subspecialty practitioners: 2013–2025. Rockville, MD: Health Resources and Services Administration, U.S. Department of Health and Human Services; 2016. [Google Scholar]
- 75.Foster A, Croot L, Brazier J, Harris J, O’Cathain A. The facilitators and barriers to implementing patient reported outcome measures in organisations delivering health related services: a systematic review of reviews. J Patient Rep Outcomes. 2018;2:46. doi: 10.1186/s41687-018-0072-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
