Positive Screens for Psychiatric Disorders in Primary Care: A Long-Term Follow-Up of Patients Who Were Not in Treatment

Abstract

Objective

Screening for psychiatric disorders has gained acceptance in some general medical settings, but critics argue about its value. The purpose of this study was to determine the clinical utility of screening by conducting a long-term follow-up of patients who screened positive for psychiatric disorders but who were initially not in treatment.

Methods

A cohort of 519 low-income, adult primary care patients were screened for major depression and bipolar, anxiety, and substance use disorders and reassessed with the Structured Clinical Interview for DSM-IV after a mean of 3.7 years by a clinician blind to the initial screen. Data on treatment utilization was obtained through hospital records. The sample consisted of 348 patients who had not received psychiatric care in the year before screening.

Results

Among 39 patients who screened positive for major depression, 62% (95% confidence interval=45.5%–77.6%) met criteria for current major depressive disorder at follow-up. Those who screened positive reported significantly poorer mental and social functioning and worse general health at follow-up than the screen-negative patients and were more likely to have visited the emergency department for psychiatric reasons (12.1% and 3.0%, odds ratio [OR]=6.4) and to have major depression (OR=7.6). Generally similar results were observed for patients who screened positive for other disorders.

Conclusions

Commonly used screening methods identified patients with psychiatric disorders; about four years later, those not initially in treatment were likely to have enduring symptoms and to use emergency psychiatric services. Screening should be followed up by clinical diagnostic assessment in the context of available mental health treatment.

screening for depression in primary care has a 40-year history (1–8). The rationale for screening follows from the observation that patients with depression are usually first seen in the primary care setting and that depression escapes clinical detection, causes substantial morbidity if untreated, and may complicate the course of chronic medical disease (9–11). Depression screening in U.S. general medical practice has been advocated for, and such screening is required in the U.S. Department of Veterans Affairs health care system (12). In 2002 the U.S. Preventive Services Task Force recommended screening in practices that have systems in place to assess and treat depression (13). A number of educational and treatment strategies have been proposed—and some have been tested—to improve management of depression after screening in primary care (14). However, critics have argued that screening is costly, has not been shown to improve outcome, and diverts clinical attention away from the mental health care of patients with recognized disorders and more serious symptoms (3,15–18).

Cross-sectional and short-term follow-up studies comparing patients with undetected depression to those with identified depression suggest that undetected depression tends to be milder and often resolves without intervention (19–21). An understanding of the long-term course of untreated patients who screen positive for depression would provide insight into the utility of screening. Few studies have followed patients screened for depression in primary care beyond one year to determine longer-term outcomes (22–25) or have focused specifically on untreated patients who screen positive for depression. Finally, although screens have been developed and disseminated for a range of other psychiatric disorders (26–30), most longitudinal assessments have been limited to depression and have not addressed other major psychiatric disorders with high prevalence rates in primary care settings, such as anxiety and substance use disorders.

This article reports results of a blind follow-up assessment of a consecutive sample of low-income primary care patients who screened positive for psychiatric disorders commonly seen in primary care and who were not receiving mental health care in the year before screening. The purpose of the study was not to test the validity of the screening methods, because they have been previously validated in primary care against independent clinical assessments (28), but rather to determine the clinical utility of the screens in identifying patients with a poor long-term outcome.

Methods

Baseline study

Design and participants

Baseline assessments and follow-up assessments were conducted in 2001–2003 and 2004–2007, respectively, at the faculty and resident group practice of the Division of General Medicine, Columbia University Medical Center in New York City. Each year 18,000 adult patients account for approximately 80,000 outpatient visits to the practice. Patients are from the surrounding communities in northern Manhattan, and most are Medicaid or Medicare beneficiaries. Baseline study methods have been described in detail elsewhere (31,32).

Briefly, patients were systematically approached on the basis of the position of the seat that they freely selected in the clinic waiting room. Eligible patients were between 18 and 70 years of age, had made at least one prior visit to the practice, could speak and understand Spanish or English, were waiting for face-to-face contact with a primary care physician, and had no health problems that would prevent them from completing the survey. Of the 1,346 patients who met eligibility criteria, 1,156 consented to participate and completed the survey (86% response rate).

Information was collected on demographic characteristics. Social, family, and work functioning was assessed with the Sheehan Disability Scale (SDS) (33). The Medical Outcomes Study Short-Form Health Survey (SF-12) (34) and selected questions from the Social Adjustment Scale–Self Report (35) were also used. For this study, the work item on the SDS was excluded from total SDS scores because only one-fifth of the sample was gainfully employed. Information about mental health treatment history, including the types of psychotropic medications prescribed during the past month, was reported by the patient.

All assessment forms were translated from English to Spanish and back-translated by a bilingual team of mental health professionals. Records were linked with the hospital administrative database to obtain the frequency of outpatient, inpatient, and emergency service contacts during the 12 months before the follow-up assessment as well as the ICD-9-CM diagnoses for each contact. The institutional review boards of Columbia University Medical Center and the New York State Psychiatric Institute approved the study protocol, and all participants provided informed written consent.

Screens for psychiatric disorders

Patients were screened for major depressive disorder, generalized anxiety disorder, panic disorder, and alcohol use disorder, using the PRIME-MD Patient Health Questionnaire (PHQ) (28,29). A drug use disorder module patterned after the PHQ alcohol use disorder module was also administered. Because of low prevalence rates, two pairs of disorders were combined for analytic purposes: alcohol and drug use disorders, and generalized anxiety disorder and panic disorder.

The Mood Disorder Questionnaire (MDQ) (26,27), which has also been validated in primary care (36), was used to screen for bipolar spectrum disorder. Although the time frame of the MDQ is not restricted to the present, we considered a positive MDQ screen indicative of bipolar spectrum disorder even if the patient was not in a current episode, because bipolar disorder is considered a lifetime disorder.

Treatment for psychiatric disorders

Patients were asked, “Have you ever been treated for an emotional or mental problem?” and if yes, “When was the last time you were treated for an emotional or mental problem?” Patients were also asked, “Have you ever taken a prescribed medication for an emotional or mental problem?” and if yes, “When was the last time that you took a prescribed medication for an emotional or mental problem?” Both questions about the timing of treatment had the following response choices: more than one year ago, less than one year ago but not in the last month, and in the last month. Patients who had been treated or took medication less than one year ago were defined as currently receiving mental health treatment.

Follow-up study

Design and response rate

The mean±SD time between baseline and follow-up interviews was 3.7±.5 years. Our follow-up assessment included an extended interview administered by clinically trained, bilingual and bicultural interviewers who were blind to the initial clinical data. Of the 1,156 participants at baseline, 825 (71%) consented at baseline to be recontacted for a follow-up interview. Because of financial constraints, letters were sent to only the first 796 patients; thus 29 of the 825 consenting patients were not invited. Among those who were sent letters about the follow-up study, the follow-up clinical status of 70% (N=561) was determined. These patients were either interviewed at follow-up (N=519) or found to be deceased or unable to participate because of institutionalization or illness (N=42). The 561 follow-up participants represent 49% of the original sample of 1,156. Our interest was in 348 of the 561 patients who screened positive at baseline for at least one of the mental disorders and had not received mental health treatment during the year before screening.

Clinically assessed psychiatric disorders

At follow-up, major sections of the Structured Clinical Interview for DSM-IV-TR (SCID) Axis I Disorders (37) were administered by experienced, clinically trained interviewers who prepared a narrative summary of the interview. Based on all available follow-up data, one of the authors (MMW) completed best-estimate diagnoses blind to the initial screening status (38). The diagnostic reviewer and the interviewer discussed any wide discrepancies. Current disorders were categorized as major depressive disorder, anxiety disorder (generalized anxiety disorder or panic disorder), substance-related disorder (including alcohol or substance abuse or dependence and alcohol- or substance-induced mood, anxiety, or psychotic disorder), and bipolar spectrum disorder (bipolar type I or II disorder or bipolar disorder not otherwise specified). Disorders were considered present if they were rated as “definite” or “probable,” except for substance-related disorders, which were also considered present if rated as “possible” because of a tendency for patients to underreport substance-related disorders (39).

Data analysis

Our primary analyses were restricted to the 348 patients who screened positive for a disorder at baseline and who reported that they had not received mental health treatment in the year before screening. For each of the screened disorders (major depressive disorder, generalized anxiety disorder or panic disorder, alcohol or drug use disorder, and bipolar disorder), we compared patients by screening status (positive or negative) on various measures that were assessed at follow-up, including clinical diagnoses based on the SCID and health and functioning. Using hospital administrative records for the 12 months before each follow-up assessment, we compared baseline screen-positive and screen-negative groups on total number of outpatient visits, emergency department visits, and hospital admissions. We separated all visits and admissions into those that included at least one mental disorder diagnosis (ICD-9-CM codes 290–319) and those that included no mental disorder diagnosis. Because emergency department visits and hospital admissions were relatively rare, we coded each variable as any versus none. The Charlson Comorbidity Index (40) was used to compare the general medical status of the groups. In all analyses, we adjusted for the number of days between baseline screening and the follow-up interview.

Data weighting

We used the propensity weighting method (41) to adjust for potential attrition bias (unit nonresponse bias) after the baseline assessment. To the extent that correlates of nonresponse can be identified, the follow-up sample (N=519) was weighted to represent the baseline sample (N=1,156). Nonresponse patterns were examined at four sequential stages: refusal to be recontacted (N=331); absence of a followup letter (N=29); inability to locate (N=146); and refusal of the follow-up assessment, poor health status, or death (N=131).

For each of the four stages, we performed the following procedure. A binary logistic regression model was constructed with unit response versus nonresponse as the outcome, and variables from the baseline study were entered as candidate predictors by using stepwise selection criteria (to enter, p=.20; to stay, p=.05) and allowing for up to two-way interactions. At each stage, the weight for each patient was the reciprocal of the probability of the predicted response. Information about the baseline variables that significantly predicted response versus nonresponse at each of the four stages is available upon request.

The weights from each of these four models were multiplied to produce an overall weight for each of the 519 follow-up participants. To minimize undue effects from excessively high or low weights, we performed a quantile split of the overall weights to produce six weighting classes. Each member of a weighting class was assigned the mean weight for that class (41). Final weights ranged from 1.486 to 3.610, and summed to 1,156, the size of the baseline sample. All analyses were weighted and were conducted with SAS, version 9, specifically the SURVEYFREQ, SURVEYMEANS, SURVEYREG, and SURVEYLOGISTIC procedures. The level of significance was set at .05 (two-tailed).

Results

Baseline characteristics of untreated patients

Among the 348 patients who reported no mental health treatment at baseline, rates of positive screens varied by disorder: major depressive disorder, 11% (95% confidence interval [CI]=7.6–14.5); alcohol or drug use disorder, 9% (95% CI=5.9%–12.6%); bipolar disorder, 7% (95% CI=3.9%– 9.4%); and generalized anxiety disorder or panic disorder, 6% (95% CI= 3.9%–8.9%). As shown in Table 1, few significant sociodemographic differences were found by screening status (positive or negative) within the disorder groups. Compared with their screen-negative counterparts, patients who screened positive for major depressive or bipolar disorder had lower educational achievement, patients who screened positive for an alcohol or drug use disorder were more likely to be male and non-Hispanic, and the group screening positive for bipolar disorder had a higher proportion of males.

Table 1.

Demographic characteristics of 348 primary care patients screened for psychiatric disorders who reported no psychiatric treatment in the year before screening, by disorder group at baseline (in weighted percentages)^a

	Major			Generalized anxiety			Alcohol or
	depressive disorder			or panic disorder			drug use disorder			Bipolar disorder
	Yes	No		Yes	No		Yes	No		Yes	No
Characteristic	(N=39)	(N=306)	p	(N=27)	(N=319)	p	(N=29)	(N=305)	p	(N=24)	(N=324)	p
Gender			.19			.26			<.001			.050
Female	79	68		79	68		20	74		49	70
Male	21	32		21	32		80	26		51	30
Age			.27			.74			.99			.59
18–44	29	33		28	32		31	33		41	32
45–54	42	26		36	27		31	28		31	28
55–64	19	24		26	23		23	23		13	24
65–70	11	17		10	17		15	16		16	17
Race-ethnicity			.28			.75			.02			.87
Hispanic	90	83		82	84		67	86		82	84
Non-Hispanic	10	17		18	16		33	15		18	16
Immigrant			.66			.72			.34		75	.59
Yes	78	75		72	75		67	76		80
No	22	25		28	25		33	24		21	25
Marital status			.3			.24			.27			.12
Married or
cohabiting	26	35		23	35		45	34		50	33
Other	74	65		77	65		56	66		50	67
High school
graduate			.04			.75			.33			.052
No	71	52		57	54		44	54		74	52
Yes	29	48		43	47		56	46		26	48
Annual house- hold income			.86			.14			.72			.92
<$6,000	39	40		55	39		38	41		41	40
≥$6,000	61	60		45	61		63	59		59	60
Paid worker			.9			.22			.2			.91
Yes	26	27		16	27		15	29		28	27
No	74	73		84	73		85	72		72	73

^aThe percentages are weighted to account for attrition at follow-up. The p values were generated from a logistic regression (for binary outcomes) or a linear regression (for continuous outcomes) using weighted data. Ns for some screening diagnoses sum to less than 348 because of missing data.

Diagnoses and functional status from the baseline screening for each disorder group are shown in Table 2. High rates of comorbidity were found among the baseline screening diagnoses. Among patients who screened positive for major depressive disorder, for example, a substantial percentage also screened positive for generalized anxiety disorder or panic disorder (26%) and for bipolar disorder (19%). Compared with patients who screened negative for major depressive disorder, generalized anxiety disorder or panic disorder, and bipolar disorder, those who screened positive for each of these disorders had significantly lower mental functioning and those who screened positive for depressive disorder and generalized anxiety disorder or panic disorder had significantly worse social functioning. However, similar significant differences were not observed with respect to alcohol or drug use disorder. A positive screen for major depressive disorder was consistently associated with poor physical health and functioning.

Table 2.

Clinical characteristics of 348 primary care patients screened for psychiatric disorders who reported no psychiatric treatment in the year before screening, by disorder group at baseline (in weighted percentages or means)^a

	Major			Generalized anxiety			Alcohol or
	depressive disorder			or panic disorder			drug use disorder			Bipolar disorder
	Yes	No		Yes	No		Yes	No		Yes	No
Characteristic	(N=39)	(N=306)	p	(N=27)	(N=319)	p	(N=29)	(N=305)	p	(N=24)	(N=324)	p
Screen diagnosis
Major depressive disorder			—			<.001			.37			.004
Yes	—	—		45	9		15	10		31	10
No	—	—		55	91		85	90		69	90
Generalized anxiety or
panic disorder			<.001			—			.57			.37
Yes	26	4		—	—		9	6		11	6
No	74	96		—	—		92	94		89	94
Alcohol or drug use
disorder			.37			.57			—			.008
Yes	14	9		13	9		—	—		28	8
No	86	92		87	91		—	—		72	92
Lifetime bipolar disorder			.004			.37			.008			—
Yes	19	5		11	6		19	5		—	—
No	81	95		89	94		81	95		—	—
Mental and social functioning
SF-12 MCS score (M±SE)b	34.9±1.6	50.9±.6	<.001	36.1±2.0	50.1±.6	<.001	46.1±2.3	49.5±.6	.15	41.7±2.6	49.7±.6	.002
SDS score (M±SE)c	9.1±1.0	2.7±.2	<.001	8.0±1.1	3.1±.2	<.001	3.7±1.0	3.2±.3	.66	4.9±1.1	3.2±.3	.13
Poor or fair emotional
health			<.001			.01			.16			.65
Yes	71	16		43	20		32	20		26	22
No	29	84		57	80		68	80		74	78
Physical functioning
SF-12 PCS score (M±SE)b	37.0±1.7	40.6±.7	.046	35.2±2.1	40.5±.7	.01	40.0±2.1	40.4±.7	.87	39.0±2.2	40.4±.7	.54
Poor or fair general health			<.001			.09			.99			.36
Yes	93	54		76	57		58	57		49	59
No	7	46		25	43		43	43		52	41

^aThe percentages are weighted to account for attrition at follow-up. The p values were generated from a logistic regression (for binary outcomes) or a linear regression (for continuous outcomes) using weighted data. Ns for some screening diagnoses sum to less than 348 because of missing data.

^bThe Medical Outcomes Study Short-Form Health Survey (SF-12) mental component summary (MCS) and physical component summary (PCS) scores are expressed as T scores in relation to national norms (mean±SD=50±10), with higher scores indicating better functioning.

^cSheehan Disability Scale. Possible scores range from 0 to 20, with higher scores indicating greater functional impairment.

Follow-up status of patients untreated at baseline

There was substantial stability between the baseline screening diagnosis and the clinician’s diagnosis at follow-up (Table 3). Among patients who screened positive for major depressive disorder at baseline, 62% (CI=45.5%–77.6%) were diagnosed by the research clinician as having current major depressive disorder at follow-up (odds ratio [OR]=9.7). Significant correlations between baseline screen status and the same follow-up diagnosis were evident for generalized anxiety disorder or panic disorder (OR=3.6), alcohol or drug use disorder (OR=31.9), and bipolar disorder (OR=8.0). All of the screen diagnoses at baseline were related significantly to at least one clinical diagnosis at follow-up, either the same diagnosis or one of the other screening diagnoses (Table 3, any of the above).

Table 3.

Follow-up diagnoses and outcome measures for 348 primary care patients screened at baseline for psychiatric disorders and who reported no psychiatric treatment in the year before screening, by disorder group at baseline (in weighted percentages)^a

	Major depressive				Generalized anxiety				Alcohol or
	disorder				or panic disorder				drug use disorder				Bipolar disorder
Follow-up diagnosis				95%				95%				95%				95%
or outcome	Yes	No	AOR	CI	Yes	No	AOR	CI	Yes	No	AOR	CI	Yes	No	AOR	CI
Diagnosisb
Major de-	62	13	9.7	4.2	47	16	3.7	1.6	25	17	3.9	1.3	23	18	1.3	.4
pressive				to				to				to				to
disorder				22.4				8.6				12.3				4.0
Generalized	21	5	3.9	1.4	17	6	3.6	1.1	15	6	4.5	1.1	13	7	1.4	.3
anxiety				to				to				to				to
or panic				11.4				12.2				19.2				5.8
disorder
Substance-	2	1	3.3	.2	0	1	— c		9	1	31.9	2.4	6	1	26.6	.7
related				to								to				to
disorder				46.3								417.6				972.7
Lifetime	22	7	2.9	1.0	12	8	1.6	.4	25	7	5.4	1.7	40	6	8.0	2.7
bipolar				to				to				to				to
spectrum				8.1				6.2				17.1				23.6
disorder
Any of the	69	23	6.1	2.7	58	26	3.3	1.4	40	27	3.3	1.2	52	26	2.9	1.1
above				to				to				to				to
				13.9				7.8				8.6				7.4
Mental
functioning
SF-12 MCSd	35.8±	50.3±	−14.8e	−19.7	41.4±	49.3±	−8.1e	−12.2	46.8±	48.9±	−4.6e	−9.2	43.2±	49.1±	−5.1e	−11.3
score	2.4	.6		to	2.2	.6		to	2.3	.7		to	3.4	.6		to
(M±SE)				−10.0				−4.0				−.01				1.2
SDS scoref	7.9±	3.0±	5.1e	3.1	6.6±	3.3±	3.6e	1.4	5.2±	3.3±	3.0e	1.0	4.7±	3.4±	.8e	−1.6
(M±SE)	1.0	.3		to	1.2	.3		to	1.0	.3		to	1.3	.3		to
				7.0				5.8				5.1				3.2
Poor or fair	63	24	6.2	2.7	64	26	6.1	2.4	44	27	2.6	.97	51	27	2.6	.9
emotional				to				to				to				to
health				14.4				15.5				6.8				7.1
Physical
functioning
SF-12 PCSd	36.6±	39.8±	−2.8e	−7.1	36.4±	39.7±	−3.1e	−6.8	40.3±	39.8±	.6e	−3.6	37.8±	39.7±	−.9e	−6.5
score	2.2	.7		to	2.3	.7		to	2.1	.8		to	2.9	.7		to
(M±SE)				1.5				.6				4.8				4.8
Poor or fair	86	52	8.2	2.3	74	54	3.0	1.0	51	55	1.2	.5	57	55	1.1	.4
general				to				to				to				to
health				28.9				8.9				2.9				3.2
Medical	1.7±	1.2±	.5e	−.3	1.9±	1.2±	.3e	−.5	2.1±	1.1±	.9e	−.2	1.0±	1.3±	−.1e	−.6
comorbidity	.4	.1		to	.4	.1		to	.6	.1		to	.2	.1		to
scoreg				1.3				1.0				2.0				.5
(M±SE)
Health care utilizationht
Medical only	8.2±	7.7±	−.8e	−3.5	8.3±	7.8±	−.9e	−3.9	5.5±	7.8±	−1.4e	−4.6	7.7±	7.8±	−.03e	−3.2
Outpa-	1.3	.5		to	1.8	.5		to	1.3	.6		to	1.6	.5		to
tient				1.9				2.0				1.8				3.1
visits (M±SE)
Any ER	39	28	1.4	.6	41	28	1.7	.7	39	27	2.6	1.01	35	28	1.3	.5
visits				to				to				to				to
				3.1				4.2				6.7				3.7
Any hos-	9	12	.4	.1	11	12	.4	.1	19	11	2.0	.6	7	12	.7	.1
pital ad-				to				to				to				to
missions				2.0				3.1				6.2				3.4
Psychiatric treatment
Outpatient	2.4±	1.2±	.4e	−2.3	2.9±	1.2±	.6e	−1.9	.4±	1.4±	−.3e	−1.3	1.7±	1.3±	.3e	−2.6
visits	1.0	.4		to	1.4	.4		to	.2	.4		to	1.0	.4		to
(M±SE)				3.1				3.2				.7				3.2
Any ER	12	3	6.4	1.1	21	3	8.5	2.0	8	3	8.0	1.3	7	4	3.0	.3
visits				to				to				to				to
				36.0				36.9				49.8				27.1
Any hos-	15	4	3.8	.8	21	4	4.2	.9	5	4	2.0	.3	10	4	3.1	.7
pital ad-				to				to				to				to
missions				19.0				19.3				12.6				13.7

^aThe percentages are weighted to account for attrition at follow-up. The adjusted odds ratios (AORs) are for the group with a positive screen; they were generated from a logistic regression that used weighted data and controlled for gender, age group, ethnicity (Hispanic versus non-Hispanic), education, income, and time between baseline and follow-up interview. Ns for some screening diagnoses sum to less than 348 because of missing data.

^bBased on the Structured Clinical Interview for DSM-IV

^cThe test could not be calculated because of a zero cell.

^dThe Medical Outcomes Study Short-Form Health Survey (SF-12) mental component summary (MCS) and physical component summary (PCS) scores are expressed as T scores in relation to national norms (mean±SD=50±10), with higher scores indicating better functioning.

^eExpected score difference (with 95% confidence interval) for the group with the positive screen; generated from a linear regression that used weighted data and controlled for gender, age group, ethnicity (Hispanic versus non-Hispanic), education, income, and time between baseline and follow-up interview.

^fSheehan Disability Scale. Possible scores range from 0 to 20, with higher scores indicating greater functional impairment.

^gCharlson Comorbidity Index score. Higher scores indicate greater medical comorbidity. Based on ICD-9 codes in patients’ records during the year before follow-up. Sample range, 0–11

^hData from hospital administrative records during the year before follow-up. ER, emergency room

Compared with patients who screened negative, the patients who screened positive for major depressive disorder or generalized anxiety disorder or panic disorder consistently reported poorer mental functioning at follow-up, as indicated by expected mean differences on the SF-12 mental component summary score, and poorer social functioning at follow-up, as indicated by expected mean differences in scores on the SDS. However, screen status (positive or negative) for major depressive disorder and generalized anxiety disorder or panic disorder was not associated with the SF-12 physical component summary score or the Charlson Comorbidity Index score at follow-up. Screen status was also not significantly related to use of outpatient, emergency department, or inpatient services for general medical reasons as assessed by hospital administrative records, with one exception. Patients who screened positive for an alcohol or drug use disorder were significantly more likely to make at least one medical emergency department visit during the year before the follow-up assessment (OR=2.6).

Compared with patients who screened negative, untreated patients who screened positive for major depressive disorder, generalized anxiety disorder or panic disorder, or alcohol or drug use disorder at baseline were all significantly more likely to have made one or more psychiatric emergency department visits during the year before the follow-up assessment (major depressive disorder, OR=6.4; generalized anxiety disorder or panic disorder, OR=8.5; and alcohol or drug use disorder, OR=8.0).

In a separate series of models (not shown), each of which controlled for all four baseline screens and patient demographic characteristics, a positive screen for depression independently predicted major depressive disorder (OR=7.6, 95% CI=3.0–19.4), alcohol or drug use disorder (OR= 153.0, 95% CI=10.5±∞), poor or fair emotional health (OR=4.5, 95% CI= 1.7–11.8), poor or fair general health (OR=5.6, 95% CI=1.5–21.5), and a lower SF-12 mental component summary score (β=−14.2, 95% CI=−19.7 to −8.7) at follow-up. A positive screen for an anxiety disorder predicted fair or poor emotional health (OR=4.7, 95% CI=1.8–12.4) and a lower SF-12 mental component summary score (β=−4.5, 95% CI=−8.8 to −.2). A positive substance use disorder screen predicted major depressive disorder (OR=3.4, 95% CI=1.1–10.7) and lifetime bipolar disorder (OR=3.9, 95% CI=1.1–13.5). A positive bipolar disorder screen predicted only lifetime bipolar disorder at follow-up (OR=6.4, 95% CI=1.9–21.1).

Discussion

In a large urban university-affiliated practice serving low-income patients, many patients who were not receiving psychiatric treatment in the year before screening screened positive for psychiatric disorders. Nearly four years later, these patients were significantly more likely than those who screened negative to be clinically diagnosed as having the original screen diagnosis, to be impaired, and to have made emergency department visits for psychiatric reasons in the year before the follow-up interview; they were not more likely than those who screened negative to have used general medical services in the past year. These findings were consistent for three of the screened disorders—major depressive disorder, generalized anxiety disorder or panic disorder, and alcohol or drug use disorder.

Comorbidity of the screened disorders was high. Follow-up diagnoses were predicted by the corresponding screening diagnosis at baseline. A positive screen for major depressive disorder also emerged as a powerful predictor of other follow-up diagnoses and of poor mental and physical health. These findings suggest that if resource constraints limit screening to a single mental disorder, a depression screen may be more likely to identify the most vulnerable patients over the long term.

One-year longitudinal primary care studies suggest that patients who screen positive for depressive symptoms or for a diagnosis of depression tend to have poor mental health outcomes. A study conducted in six culturally diverse countries (Israel, Brazil, Australia, Spain, Russian, and the United States) found that high depressive symptom scores were associated with poor health and functional status and increased use of health care independent of patient demographic characteristics (6). Other one-year follow-up studies of patients who screened positive for depression have had similar results (42–45). Adverse outcomes among patients who screen positive for depression have been documented in a 45-month follow-up study of older primary care patients (20), a five-year follow-up study at Walter Reed Army Medical Center (24), and a seven-year follow-up study from Finland (25). However, some short-term follow-up studies of six to 12 months have reported that undetected mild depression resolves without intervention (20). None of these studies conducted separate analyses for primary care patients who were not in treatment at the time of initial screening, and only the Finnish study (25) used a diagnostic assessment at follow-up.

This study has several limitations. Because it was conducted in a single urban primary care practice that serves a predominantly low-income immigrant population, the findings may not generalize to primary care clinics that serve other socioeconomic groups, where the rates of psychiatric disorders may be lower. However, low-income patients represent a large and vulnerable patient group who usually receive most of their psychiatric care in primary care (46). The exclusion of patients over 70 years of age prevents generalization to older primary care populations. The initial screens were based on self-report, although they have been widely used and tested in primary care settings (28,36). Although self-report entails less interviewer involvement, we do not know the extent to which patients’ perceptions of interviewers might affect their responses. Incomplete participation at follow-up raises a concern about selection bias; however, we incorporated nonresponse-adjusted weights that were based on a detailed examination of attrition at various stages. Although we focused on patients who reported no use of psychiatric treatment in the year before the initial screening, we were unable to determine with certainty whether these patients had mental health problems that had been recognized by a health practitioner before the baseline screening. We also do not know the extent to which treatment during the follow-up period may have affected follow-up outcome. In general, outpatient psychiatric treatment was low for all groups.

Conclusions

Screening for depression in primary care has a long history (13). Our study has shown that commonly used screening methods identified patients who were likely four years later to be symptomatic and impaired and to have sought emergency department psychiatric services in the year before follow-up, even when the analysis excluded screen-positive patients who were receiving mental health treatment at baseline. Data from community samples have shown that the likelihood of receiving treatment for depression increases with the severity and number of symptoms (47). This has raised questions about the value of treating mild symptoms. Our findings indicate that simple screening procedures, especially for major depression, can identify primary care patients with milder symptoms that are nevertheless persistent and enduring mental health problems. As recommended by the U.S. Preventive Services Task Force, positive screens should be followed by a diagnostic assessment, which is critical in determining the specific diagnosis and guiding treatment.

There is considerable overlap between major depressive disorder and anxiety disorders in diagnosis and treatment, and screening separately for these disorders may yield marginal clinical benefit. However, because of pharmacological considerations, screening may be important in differentiating bipolar depression from major depression (31,32). Screening may also be important for identifying substance use disorders, for which the poorest portion of our sample were unlikely to be receiving treatment.

Our findings support screening, especially in primary care practices, where the prevalence of mental disorders is generally high. Screening-related improvement in long-term outcomes will require that detection be followed by effective treatment. As noted by others (48,49), screening should be considered only as part of a package of enhanced care. Several clinical trials have demonstrated the efficacy of different models for delivering mental health services in primary care (5,48,49).