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Research ArticleOriginal Research

Depression Screening Rates and Symptom Severity by Alcohol Use Among Primary Care Adult Patients

Matthew E. Hirschtritt, Andrea H. Kline-Simon, Kurt Kroenke and Stacy A. Sterling
The Journal of the American Board of Family Medicine September 2018, 31 (5) 724-732; DOI: https://doi.org/10.3122/jabfm.2018.05.180092
Matthew E. Hirschtritt
From Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, CA (MEH); Division of Research, Kaiser Permanente Northern California, Oakland (AHK-S, SAS); Indiana University School of Medicine, Regenstrief Institute, Inc., Indianapolis, IN (KK).
MD, MPH
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Andrea H. Kline-Simon
From Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, CA (MEH); Division of Research, Kaiser Permanente Northern California, Oakland (AHK-S, SAS); Indiana University School of Medicine, Regenstrief Institute, Inc., Indianapolis, IN (KK).
MS
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Kurt Kroenke
From Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, CA (MEH); Division of Research, Kaiser Permanente Northern California, Oakland (AHK-S, SAS); Indiana University School of Medicine, Regenstrief Institute, Inc., Indianapolis, IN (KK).
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Stacy A. Sterling
From Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, CA (MEH); Division of Research, Kaiser Permanente Northern California, Oakland (AHK-S, SAS); Indiana University School of Medicine, Regenstrief Institute, Inc., Indianapolis, IN (KK).
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Abstract

Background: Hazardous alcohol use with depression may exacerbate health conditions and complicate medical care. We examined the rate of depression screening by alcohol use severity among primary care patients screened for hazardous alcohol use and, among those screened, examined patterns of significant depressive symptoms.

Methods: Using cross-sectional data from primary care patients (n = 2,894,906), we examined past-90-day alcohol use (number of typical drinking days/week and typical number of drinks consumed daily); depression screening rates (using the Patient Health Questionnaire 9 [PHQ-9]); and symptom severity, demographics, and prevalence of selected psychiatric diagnoses.

Results: Within 30 days of routine, in-clinic alcohol use screening by medical assistants, 2.4% (n = 68,686) of patients also completed a PHQ-9; these patients were more likely to be female, younger, white, Medicaid insured, and to have a nondepressive psychiatric diagnosis and a lower Charlson comorbidity score. Abstainers and moderate drinkers (1 to 7 drinks/week or 1 to 4 drinks/week for women and individuals >65 years or for men ≤65 years, respectively) were less likely than hazardous drinkers (exceeding weekly limits) to complete the PHQ-9 or to have significant depressive symptoms (PHQ-9 score ≥10). Nonwhite patients with higher Charlson comorbidity scores were more likely to endorse significant depressive symptoms.

Conclusions: Only a small fraction of patients in this cohort were screened for depression. Nonwhite patients and those with higher comorbidity burden were more likely to report depression but less likely to be screened. These discrepancies between depression-screening rates and significant depressive symptoms suggest that screening for depression should be enhanced in these at-risk groups.

  • Comorbidity
  • Cross Sectional Analysis
  • Depression
  • Patient Health Questionnaire
  • Primary Health Car

The prevalence of significant depressive symptoms within the past 2 weeks among adults in the United States is approximately 8.1%,1 and 21.6% had some depressive symptoms;2 for comparison, the prevalence of diagnosed diabetes among US adults is 9.4%.3 In primary care settings alone, 6.0% of adults may meet criteria for a major depressive episode.4 Furthermore, depressive symptoms may complicate medical conditions, including reducing medication compliance5 and exacerbating physical disability,6 leading to overall worse health outcomes. Therefore, the US Preventive Services Task Force (USPSTF) recommends screening “all adults who have not been screened previously” for depression in primary care by using a standardized instrument, such as the Patient Health Questionnaire 9 (PHQ-9), with adequate resources in place for accurate diagnosis and appropriate treatment and follow-up care.7 However, as recently as 2013, the rate of US primary care-based depression screening was only 4.2%.8

Similarly, hazardous alcohol use, which the USPSTF defines as “consumption of alcohol above recommended daily, weekly, or per-occasion amounts” (ie, >14 drinks/week or >4 drinks/day for men 65 years or younger, and >7 drinks/week or >3 drinks/day for women of any age and for men older than 65 years),9 is prevalent in primary care settings. Although those who meet criteria for an alcohol use disorder (AUD) may exhibit symptoms that are detected in primary care, nearly 90% of hazardous drinkers would not meet criteria for a severe AUD,10 and may therefore escape clinical attention. Between 7.5% and 20% of adult primary care patients exhibit hazardous alcohol use,11,12 which is associated with multiple medical (eg, liver cirrhosis, esophageal and breast cancer) and social (eg, domestic violence, revocation of driver's license) consequences.13 In 2010 alone, excessive drinking (defined as binge drinking [≥4 drinks/occasion for women, ≥5 drinks/occasion for men], heavy drinking [≥8 drinks/week for women, ≥15 for men], or any alcohol use by individuals younger than 21 years or pregnant) cost the United States $249 billion.14 In this context, the USPSTF recommends screening all adults ages 18 years or older for alcohol misuse and, for those with alcohol misuse, engagement in brief behavioral counseling.15 The screening, brief intervention and referral to treatment model, an example of such an effort, aims to identify and intervene with primary care patients with hazardous alcohol use.16 Based on available evidence, the USPSTF recommends screening using self-report questionnaires with high validity in primary care settings, such as the 10-item Alcohol Use Disorders Identification Test (AUDIT)17 or the abbreviated 3-item AUDIT-Consumption (AUDIT-C)18, or a single-item screening question (eg, “How many times in the past year have you had 5 [for men age 65 or younger] or 4 [for women and all adults older than 65 years] or more drinks in a day?”).16 However, clinician detection of alcohol-use problems in primary care remains low (only 41.7% of clinicians were able to accurately detect alcohol-use problems compared with a reference standard in the most recent meta-analysis on this topic),19 and successful referral to treatment is similarly low.20

Depressive symptoms frequently co-occur with alcohol problems. For example, adults with an AUD, compared with those who have never met criteria for AUD, are nearly twice as likely to have also met criteria for lifetime major depressive disorder;21 likewise, among adults with a depressive disorder in the past 12 months, as many as 14% may have had an AUD.22 A systematic review of 35 studies that examined “alcohol problems” (defined as at-risk, hazardous, or harmful drinking; alcohol abuse; alcohol dependence; or alcoholism) among adults with depression demonstrated a median prevalence of current and lifetime alcohol problems of 16% (range, 5% to 76%) and 30% (range, 10% to 60%), respectively.23 This wide variability in prevalence estimates is likely a result of varying methods used to measure alcohol problems and depression (eg, semistructured interviews, self-report forms), diverse populations (eg, inpatient psychiatric settings, outpatient primary care), and inclusion criteria (eg, exclusion of patients with other substance use disorders [SUDs]). Of note, only one of the studies reported by this review defined alcohol problems as “at-risk drinking” (total score ≥2 on the Short Michigan Alcohol Screening Test–Geriatric Version24);25 the remainder examined the prevalence of more severe alcohol use problems (ie, alcohol abuse, dependence, or alcoholism). A more recent review examining the association between AUDs and major depression 26 yielded 15 studies, 6 of which examined hazardous drinking by using disparate definitions, including drinking >5 drinks in a single occasion over the past month,27 highest subgroup of alcohol consumers,28,29 and exceeding a threshold on a self-report measure.30 Among all 15 studies, the adjusted odds ratio (OR) of major depression among patients with an AUD was 2.00 (95% confidence interval [CI], 1.19 to 3.35), and the adjusted OR of AUD among patients with major depression was 2.09 (95% CI, 1.29 to 3.38).26

Comorbid hazardous alcohol use and depression confer higher risks of self-harm and suicide31 than either condition alone; likewise, hazardous alcohol use may exacerbate the symptoms of depression26 and decrease treatment adherence. In addition, comorbidity of hazardous alcohol use and depression has important treatment implications; for instance, in a randomized trial comparing usual care with a quality-improvement program for adults with major depression with or without substance misuse (including hazardous alcohol use), those with comorbid substance misuse demonstrated improvement in measures of depression severity at 6 and 12 months postbaseline.32 However, those with comorbid hazardous alcohol use and depression (compared with depression alone) may exhibit more severe depressive symptoms at baseline and follow-up despite improvements with tailored interventions.33 Nonetheless, a minority of patients with depression and hazardous alcohol use report receiving counseling from their primary care provider; in one study, only 14% (26% of men, 5% of women) of these patients reported receiving counseling about their alcohol use.34,35

Despite the strong association between depressive symptoms and hazardous alcohol use, there are no data of which we are aware regarding rates of depression screening by alcohol use severity and demographic characteristics in primary care settings. This information would inform systematic efforts to detect and design tailored treatments for patients with significant depressive symptoms and hazardous alcohol use. Therefore, using cross-sectional data from a screening, brief intervention, and referral to treatment initiative implemented in Kaiser Permanente of Northern California (KPNC) primary care clinics, we sought to assess rates of PHQ-9 administration by drinking severity, and among patients who completed the PHQ-9, to examine the association between depressive-symptomatology and drinking severity. We hypothesized that more severe alcohol use would be associated with higher rates of PHQ-9 administration and correspondingly higher depressive-symptom ratings.

Methods

Among KPNC primary care patients (ages ≥18 years) who participated in an alcohol screening and brief intervention initiative (Alcohol as a Vital Sign36), we examined whether the PHQ-937 had been administered and, if so, whether the total score met the threshold for significant depressive symptoms. A total score of ≥10 was chosen as the threshold for significant depression; this threshold is associated with a sensitivity of 0.77 (95% CI, 0.66–0.85) and a specificity of 0.85 (95% CI, 0.79–0.90) for major depression.38 The PHQ-9 is recommended specifically by the USPSTF39 and is part of the mental health screening instrument in KPNC. The PHQ-2 was not offered to patients; in primary care settings, a threshold of 10 on the PHQ-9 demonstrates similar sensitivity and higher sensitivity for major depression compared with a threshold of 2 or 3 on the PHQ-2.40 KPNC's and the University of California San Francisco's institutional review boards approved this study.

We extracted data from the electronic health record for the first primary care visit among all adult patients between November 1, 2014, and December 31, 2016, including sex, age, self-reported race/ethnicity, Medicaid primary insurance (an indicator of socioeconomic status), the presence of a nondepressive or nonsubstance use-related mental health diagnosis within the prior year, alcohol use severity, and PHQ-9 total score. In addition, we estimated patients' comorbidity burden by using the Charlson comorbidity score; this measure consists of a weighted score of 17 conditions and predicts the risk of 1-year mortality for patients with a range of these diagnosis-based comorbid conditions.41⇓–43 We included the first PHQ-9 administration within 30 days of the index visit for each patient to account for any possible delay between a clinician's recognition of hazardous alcohol use (from the previsit screener) and administration of the PHQ-9 (which the clinician may have asked the patient to complete remotely following the visit on the electronic patient portal or in a follow-up visit). Because depressive disorder diagnoses and above-threshold PHQ-9 scores are highly correlated, we excluded depressive disorders (present in 6.1% of this sample) from the omnibus mental health diagnosis variable. Similarly, we excluded substance use-related diagnoses (the majority of which consisted of AUDs) because of the high correlation between these diagnoses and our alcohol use-severity variable.

During the previsit rooming process, medical assistants asked patients the following: (1) the mean number of days/week they consumed alcohol and (2) how many alcoholic drinks they consumed “on a typical drinking day” over the past 90 days. Using these data, we calculated the mean number of alcoholic drinks consumed weekly (ie, mean number of drinking days/week multiplied by the number of drinks consumed on a typical drinking day). Based on guidelines established by the National Institute on Alcohol Abuse and Alcoholism,16 we defined drinking severity as “abstinent” (no alcohol consumption), “moderate alcohol use” (1 to 14 drinks/week for men ≤65 years and 1 to 7 drinks/week for women of any age and for men >65), and “hazardous alcohol use” (>14 drinks/week for men ≤65 years and >7 drinks/week for women and for men >65).

Statistical Analysis

We applied χ2 and t tests to examine differences in categorical and continuous patient characteristic variables (including alcohol use severity) by PHQ-9 screening administration and among those who were administered the PHQ-9, the presence of significant depressive symptoms. Because patients were nested within facility, generalized estimating equation techniques were used to fit multivariable logistic regression models clustered on health care facility to evaluate the OR of PHQ-9 administration by patient characteristics. Among those who were administered the PHQ-9, the OR of significant depressive symptoms by patient characteristics were also calculated. As an aim of this study was to examine rates of PHQ-9 administration, missing PHQ-9 values were not imputed; demographic and clinical characteristics were available for all patients included in this analysis.

Results

Of all patients screened for hazardous alcohol use (n = 2,894,906, representing 88% of all primary care visits within the study period), 2.4% (n = 68,686) were administered the PHQ-9 within 30 days of their first alcohol-use screening (Table 1). The following patient characteristics were associated with more frequent PHQ-9 administration: female sex (compared with male sex), age 18 to 39 years (compared with ages 40 to 65 and >65 years), white race/ethnicity (compared with all other racial/ethnic groups), Medicaid coverage (compared with those without Medicaid coverage [eg, commercial insurance or Medicare]), presence of a nondepressive/non-SUD mental health diagnosis, lower Charlson comorbidity score, and abstinence from alcohol use (compared with moderate and hazardous alcohol use) (P < .001 for all comparisons). Among those who received PHQ-9 screening, 47.2% (n = 32,390) endorsed significant depressive symptoms in the past 2 weeks (Table 1). Patterns of significant depressive symptoms by patient characteristics were similar to those of PHQ-9 administration for all variables listed above (with P < .001 for all comparisons), with the exception of the presence of a nondepressive/non-SUD mental health diagnosis (P = .751).

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Table 1.

Demographic and Clinical Characteristics by Depression Screening Status among Primary Care Adult Patients Screened for Hazardous Alcohol Use

In generalized estimating equation models, patients who were female, younger, white, covered by Medicaid, had a nondepressive/non-SUD mental health diagnosis, had a lower Charlson comorbidity score, and endorsed hazardous alcohol use demonstrated higher ORs of PHQ-9 administration (P < .001 for all models) (Table 2). Among patients administered the PHQ-9, the direction and significance of the ORs associated with significant depressive symptoms were similar to those for PHQ-9 administration for all patient characteristics except race/ethnicity (all groups except Asian patients were more likely than white patients to endorse significant depressive symptoms) and Charlson comorbidity score (higher scores were associated with higher OR of significant depressive symptoms); the presence of a nondepressive/non-SUD mental health diagnosis was not significantly associated with depressive symptoms.

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Table 2.

Adjusted Odds Ratios of Depression Screening Administration and Significant Depression among Primary Care Adult Patients Screened for Hazardous Alcohol Use*

Discussion

In a large and diverse sample of primary care patients screened for hazardous alcohol use, only 2.4% were also administered a standardized depression-screening instrument. This fraction is much lower than would be expected given current recommendations for depression screening in primary care settings.7 However, the observed rate of depression screening in this sample is roughly consistent with rates in other primary-care samples. Furthermore, nonwhite and more medically ill patients were less likely to be screened for depression compared with white and less medically ill patients but, when screened, were more likely to endorse significant depressive symptoms. However, as hypothesized, patients who reported abstinence or moderate alcohol use were less likely than those reporting hazardous alcohol use to be administered the PHQ-9 and to endorse significant depressive symptoms.

The high rate of alcohol-use screening (88%) in this sample, in contrast to the low absolute rate of PHQ-9 administration (2.4%), is most likely a reflection of a systematic initiative to encourage universal alcohol-use screening. In contrast, the PHQ-9 was offered for physicians to administer as a “preferred” depression-screening instrument (ie, embedded in the KPNC electronic health record and integrated into the standardized algorithm for depression screening in primary care clinics); although the PHQ-9 is embedded in the KPNC electronic health record, it has not been adopted as a routine, systematic part of the adult primary care clinical workflow. In addition, clinicians may have used other methods to screen for depression, such as the PHQ-244 (which would have been administered in article format or verbally, as this measure is not integrated into the KPNC electronic health record) or unstructured assessment, neither of which would have been captured in our analysis. Furthermore, clinicians may not have administered the PHQ-9 to patients who were already exhibiting symptoms of depression or who previously met criteria for a depressive disorder. For these reasons, the absolute rate of depression screening we report is likely an underestimate; however, the relative rates of depression screening remain informative.

Specifically, the observed discrepancies between rates of depression screening and significant depressive symptoms by medical comorbidity burden and race/ethnicity deserve attention. Rates of depressive symptoms among those with chronic medical conditions, such as diabetes,45 are higher than those found in the general population and are frequently associated with worse treatment adherence46 and lower quality of life.47 In contrast, recent epidemiologic studies suggest that adults with historically marginalized ethnic identities, such as those who are black or Latino, exhibit lower rates of depressive disorders48 and are less likely to receive psychiatric treatment than whites.49 Although our data do not indicate why these groups were less likely to complete (or to be offered) the PHQ-9, it is plausible that clinicians may have anticipated not having sufficient time to appropriately evaluate positive PHQ-9 screening results, to offer psychoeducation and brief counseling, and, if needed, to initiate treatment referral for patients in whom other chronic medical conditions compete for their attention during time-limited primary care appointments. Likewise, clinicians may have failed to detect culturally prescribed manifestations of depression among minority patients.

The results of this study should be interpreted in the context of several limitations. Our reliance on diagnostic codes may underestimate the prevalence of medical comorbidities and mental health diagnoses. In addition, limiting our analysis of depression screening to the PHQ-9 likely underestimates the absolute rate of depression screening in this sample. Future studies may use data-mining techniques to collect nonstandardized depression screenings in the electronic health record that were recorded in free-text format, for instance. Similarly, although a PHQ-9 total score threshold of 10 demonstrates good specificity and sensitivity in primary care settings compared with other self-report depression-symptom measures,50 our study may have excluded patients who met criteria for major depression and included others who would not have met diagnostic criteria for major depression.

Our findings have important implications for the primary care setting. First, the low overall rate and relative rates of depression screening of certain groups (men, ethnic/racial minorities, more medically ill patients) highlight a specific area for system-wide improvement in primary care settings. Given the uneven distribution and poor access to mental health services for many groups in the United States, primary care can fill that gap if mechanisms for robust and systematic screening, treatment, and specialty treatment referral workflows are in place. Primary care physicians are increasingly prescribing psychotropic medications,51 which underscores the need for integration of primary and psychiatric care, such as the collaborative care model.52 Second, screening for and treating significant depression among primary care patients may improve the quality of medical care and decrease the burden of physical illnesses given the impact of depression on medical care.

Notes

  • This article was externally peer reviewed.

  • Funding: This research was supported by a grant from the National Institute on Alcohol Abuse and Alcoholism to Dr. Sterling (grant R01-AA025902–01) and a training grant from the National Institute of Mental Health to Dr. Hirschtritt (grant R25-MH060482–17).

  • Conflict of interest: none declared.

  • To see this article online, please go to: http://jabfm.org/content/31/5/724.full.

  • Received for publication March 22, 2018.
  • Revision received May 29, 2018.
  • Accepted for publication June 1, 2018.

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The Journal of the American Board of Family     Medicine: 31 (5)
The Journal of the American Board of Family Medicine
Vol. 31, Issue 5
September-October 2018
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Depression Screening Rates and Symptom Severity by Alcohol Use Among Primary Care Adult Patients
Matthew E. Hirschtritt, Andrea H. Kline-Simon, Kurt Kroenke, Stacy A. Sterling
The Journal of the American Board of Family Medicine Sep 2018, 31 (5) 724-732; DOI: 10.3122/jabfm.2018.05.180092

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Depression Screening Rates and Symptom Severity by Alcohol Use Among Primary Care Adult Patients
Matthew E. Hirschtritt, Andrea H. Kline-Simon, Kurt Kroenke, Stacy A. Sterling
The Journal of the American Board of Family Medicine Sep 2018, 31 (5) 724-732; DOI: 10.3122/jabfm.2018.05.180092
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