Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Apr 17.
Published in final edited form as: Psychiatr Serv. 2020 Jan 21;71(4):328–336. doi: 10.1176/appi.ps.201800540

Mental health service use by Medicaid-insured children and adolescents in primary care safety-net clinics

Janet R Cummings , Xu Ji ±, Benjamin G Druss
PMCID: PMC8052634  NIHMSID: NIHMS1573307  PMID: 31960778

Abstract

OBJECTIVE:

Little is known about the role of primary care safety-net clinics, including federally qualified health centers and rural health clinics, in providing mental health services to youth. This study examines correlates and quality of care of mental health care for youth treated in these safety-net settings.

METHODS:

We used Medicaid claims data (2008–2010) from nine states to identify youth initiating ADHD medication (N=6,433) and youth with an incident depression diagnosis (N=13,209). We identified those that received: (1) no ADHD or depression-related visits from a primary care safety-net clinic (reference); (2) some (but less than most) visits from these clinics; (3) most visits from these clinics. We examined correlates of mental health treatment in these settings, and whether mental health visits in these settings were correlated with quality measures using bivariate and regression analyses.

RESULTS:

Only 13.5% of youth initiating ADHD medication and 7.2% of youth with an index depression diagnosis sought any treatment in primary care safety-net clinic. Those living in more urbanized counties were less likely to receive mental health treatment in a primary care safety-net clinic (p<0.01). Those who received the majority of mental health treatment in a primary care safety-net clinic (versus no mental health treatment in these settings) had lower care quality on five of six measures (p<0.01).

CONCLUSION:

As investment in the expansion of mental health services in primary care safety-net clinics continues to grow, future research should assess whether these resources translate into improved mental health care access and quality for Medicaid-enrolled youth.

INTRODUCTION

Mental health (MH) disorders are common and undertreated among youth.1,2 Medicaid is the largest insurer of youth,3 and research has identified a number of access-related barriers to MH treatment for Medicaid-enrolled youth.48 Researchers and policymakers have highlighted the potential of federally qualified health centers (FQHCs) and rural health clinics (RHCs) -- collectively referred to as primary care safety-net clinics – to address access-related barriers to MH treatment.9,10 FQHCs and RHCs are safety-net facilities that provide primary care to underserved populations, including Medicaid enrollees. These clinics are located in federally designated Health Professional Shortage Areas, receive favorable reimbursement rates from Medicaid, and are eligible for participation in federal initiatives such as loan repayment programs.11,12 These two programs differ from one another on a couple of key dimensions; whereas FQHCs have greater requirements than RHCs for staffing and service offerings, RHCs must be located in non-urbanized areas.11,12 Over 10,000 FQHC sites and 4,100 RHCs deliver primary care to communities across the country.13

Primary care safety-net clinics have the potential to improve access-related barriers to mental health treatment for Medicaid-enrolled youth. First, these clinics can address geographic barriers to care, as more than three-fourths of counties that lack any specialty mental health treatment facility have at least one primary care safety-net clinic.7 Second, for some families, these clinics may help reduce stigma associated with seeking services in a separate mental health specialty setting.10 Lastly, FQHCs are required by law to offer enabling services to address access-related barriers such as transportation, translation/interpretation, and insurance enrollment.14,15

Research has reported that the percentage of FQHCs that offer specialty MH services onsite has increased substantially in the past two decades.16,17 There is, however, little information about the role of primary care safety-net clinics in providing mental health services to Medicaid-enrolled youth. We address this gap by using Medicaid claims data to identify two cohorts of youth with attention deficit hyperactivity disorder (ADHD) and depression, two of the most common mental health disorders in the child and adolescent population.1,2 In each cohort, we describe the percentage that received mental health care in a primary care safety-net clinic, and examine the correlates associated with mental health-treatment seeking in these settings. We also examine several measures of care quality for each cohort in primary care safety-net settings.

METHODS

Data

Data came from the 2008–2010 Medicaid Analytic eXtract (MAX) Files for nine states (Alabama, Georgia, Kentucky, Louisiana, Missouri, North Carolina, Tennessee, Texas, and Virgina). The MAX Files include information on Medicaid eligibility, health care utilization, and enrollee demographic characteristics. Researchers have evaluated the completeness and accuracy of managed care data in the MAX files for each state,1820 and the states included in this study have sufficiently complete managed care claims for use in data analysis.

The MAX Files with enrollee information were merged with three additional files to obtain taxonomy codes that could be used to identify visits in primary care safety-net clinics. These files included: the Centers for Medicare and Medicaid Services (CMS) MAX Provider Characteristics (MAXPC) file;21 the National Provider Identifier (NPI) Data File;22 and the CMS Provider of Services (POS) file.23 We also merged measures from the Area Health Resources File (AHRF).24

Cohorts

We used specifications from the Healthcare Effectiveness Data and Information Set (HEDIS) guidelines25 and prior literature26 to derive a cohort of youth (age 6 to 12) with a diagnosis of ADHD (i.e., at least two claims with an ADHD diagnosis code [ICD-9-CM codes 314.00, 314.01]) that initiated ADHD medication for the first time between January 1, 2010 and February 28, 2010 (N=6,433). We identified those with continuous Medicaid enrollment from the time they were first observed in the database through the end of the treatment initiation period (with an allowable administrative gap up to 30 days) and without a fill for an ADHD medication for at least 120 days prior to medication initiation (i.e., the HEDIS-defined exclusion period).25

Next, we derived a cohort of youth (age 5 to 17) with an incident diagnosis of depression between January 1, 2010 and August 8, 2010 (N=13,209). Our cohort included those with at least two claims with a depression diagnosis code (ICD-9-CM codes 296.2, 296.3, 300.4, 311) on different days in 2010. We identified those: with continuous Medicaid enrollment from the time they were first observed in the database through the end of the study period (with an allowable administrative gap up to 30 days); and without any encounters with a depression diagnosis code or a fill for an antidepressant medication for at least 90 days prior to the index diagnosis (i.e., the exclusion period used in prior literature27). In both cohorts, we excluded those with dual Medicare eligibility, an inpatient claim for mental health or substance abuse, multiple county codes, and/or missing information on control variables.

Safety-net Measure

To derive measures of mental health treatment in primary care safety-net clinics, we used: codes from the MAX files, including place of service codes (03, 50, 53, 72), type of program codes (03, 04), revenue codes (521, 522, 524, 525, 527, 528), and procedure code (T1015); taxonomy codes from the MAXPC file and NPI Data File (261QF0400X, 261QR1300X); and provider category codes (12, 21) from the CMS POS file. Using these codes, we created two categorical variables for ADHD- and depression-related visits (i.e., visits with a primary or secondary diagnosis of one of these respective conditions). The first measure identified those who did not receive any ADHD or depression-related visits from any primary care safety-net clinic (FQHC and/or RHC) (reference), those who received some (but less than the majority) ADHD- or depression-related visits from a primary care safety-net clinic, and those who received the majority of ADHD- or depression-related visits from a primary care safety-net clinic. Next, we classified youth in each cohort into those who did not receive any ADHD or depression-related visits from a primary care safety-net clinic (reference); those who received any ADHD- or depression-related visits from an FQHC; and those who received all of their ADHD- or depression-related visits that occurred in a primary care safety-net clinic exclusively from a RHC (i.e., no visit in an FQHC). Bivariate and regression analyses examining correlates associated with mental health treatment in primary care safety-net settings using this second measure are availability in an Online Supplement. For those who received any ADHD- or depression-related visits in a primary care safety-net facility, we also provide information in the online appendix about psychotherapy visits received inside and outside of these primary care safety-net settings (See Online Supplement).

Quality of care

Based on HEDIS specifications and prior literature,25,26 we derived three measures to assess adequate follow-up care and medication continuity after the child initiated ADHD medication. The first measure assessed adequate follow-up care in the initiation phase of ADHD medication treatment (i.e. the first 30 days after initiating medication), which was defined as at least one visit with a healthcare provider during this time period. The second measure assessed continuous medication treatment, which was defined by HEDIS as those who filled medication for 210 of the 300 day continuation and maintenance (C&M) phase following the 30 day medication initiation period.28 We analyzed this outcome measure for a subgroup with continuous Medicaid enrollment in the C&M phase [N=5,968]. The third measured assessed adequate follow-up care in the C&M phase, which was defined as receiving at least two additional healthcare visits in the 300-day C&M phase. This outcome measure was assessed for those with continuous enrollment and continuous medication in the C&M phase [N=2,370].

In the cohort with an index depression diagnosis, we used specifications from prior research29 to create indicators for those that received: minimally adequate psychotherapy (≥ four individual, family, and/or group psychotherapy sessions outside of an inpatient setting in the 12 weeks following initiation of treatment); minimally adequate medication treatment (antidepressant medication for ≥ 84 out of the 144 days following initiation); and minimally adequate treatment, defined as the receipt of minimally adequate psychotherapy or minimally adequate medication treatment.

Covariates

Individual-level measures

We assessed predisposing (age, gender, race/ethnicity), enabling (health plan type29,30), and need-related characteristics (basis of eligibility and comorbidities) that may be correlated with the receipt of mental health treatment in a primary care safety-net clinic and/or the quality of care received.31 (See Table 2 and Online Supplement for details).

Table 2:

Characteristics of Medicaid-enrolled youth receiving ADHD-related visits (N=6,433) or depression-related visits (N=13,209), by safety-net setting

ADHD-related visits in any primary care safety-net facility (FQHC or RHC) Depression-related visits in any primary care safety-net facility (FQHC or RHC)

No visits in safety-net [N=5,566] Some (but less than majority) visits in safety-net [N=256] ± Majority visits in safety-net [N=611] ± No visits in safety-net [N=12,266] Some (but less than majority) visits in safety-net [ N=365] ± Majority visits in safety-net [ N=578] ±

N % N % N % N % N % N %
Demographics
 Race/ethnicity, %
  Non-Hispanic White 2,560 46.0 129 50.4 354 57.9*** 5,770 47.0 219 60.0*** 325 56.2***
  Black 1,703 30.6 75 29.3 134 21.9*** 3,863 31.5 78 21.4*** 131 22.7***
  Hispanic 827 14.9 35 13.7 75 12.3 1,828 14.9 54 14.8 89 15.4
  Other/ Unknown 476 8.6 17 6.6 48 7.9 805 6.6 14 3.8** 33 5.7
 Age (Mean ± SD) 8.2 ± 1.6 8.0 ± 1.6* 8.2 ± 1.6 12.8 ± 3.0 13.8 ± 2.6*** 13.3 ± 2.8***
 Female, % 1,786 32.1 79 30.9 203 33.2 6,685 54.5 245 67.1*** 355 61.4***
Plan type, %
 Fee-for-service (no carve-out) 362 6.5 31 12.1** 127 20.8*** 1,346 11.0 68 18.6*** 116 20.1***
 Primary care case management (no carve-out) 1,011 18.2 35 13.7* 186 30.4*** 1,656 13.5 60 16.4 174 30.1***
 Comprehensive managed care plan (no carve-out)a 2,517 45.2 114 44.5 158 25.9*** 7,311 59.6 195 53.4* 202 34.9***
 Mixed plansb 1,676 30.1 76 29.7 140 22.9*** 1,953 15.9 42 11.5** 86 14.9
Eligibility type, %
 Blind, disabled, or foster carec 967 17.4 65 25.4** 91 14.9 2,843 23.2 65 17.8** 77 13.3***
Mental health comorbidity, %
 ADHD 5,566 100.0 256 100.0 611 100.0 3,947 32.2 90 24.7** 182 31.5
 Any depressive disorder 240 4.3 24 9.4** 28 4.6 12,266 100.0 365 100.0 578 100.0
  Depression NOS only - - - - - - 5,670 46.2 103 28.2*** 351 60.7***
  Dysthymia (no major depression) - - - - - - 1,443 11.8 25 6.9*** 51 8.8*
  Any major depression diagnosis - - - - - - 5,153 42.0 237 64.9*** 176 30.5***
Mental health comorbidity, %
 Oppositional defiant disorder / conduct disorder 962 17.3 56 21.9 59 9.7*** 3,034 24.7 81 22.2 99 17.1***
 Other mental health disorder 1,852 33.3 104 40.6* 159 26.0*** 6,218 50.7 225 61.6*** 259 44.8**
Physical health comorbidity, %
 Asthma 915 16.4 35 13.7 70 11.5*** 1,615 13.2 53 14.5 73 12.6
County-level characteristics (Mean ± SD)
 Percentage living in urban area 68.5 ± 28.8 58.4 ± 33.3*** 49.7 ± 30.3*** 67.4 ± 30.5 54.3 ± 33.4*** 53.9 ± 32.4***
 Percentage living in poverty 16.9 ± 6.1 17.4 ± 5.5 18.5 ± 5.4*** 16.5 ± 6.3 17.5 ± 5.8*** 18.5 ± 6.1***
 Primary care safety-net clinic per 100K 2.9 ± 5.4 7.4 ± 9.6*** 11.0 ± 11.8*** 3.7 ± 7.4 9.5 ± 13.5*** 10.4 ± 13.4***
 Primary care physicians per 100K 61.5 ± 28.2 55.1 ± 28.3*** 48.7 ± 25.8*** 62.4 ± 29.6 55.1 ± 32.0*** 51.8 ± 27.7***
 Psychologists, per 100K 16.7 ± 18.0 15.3 ± 17.7 10.7 ± 15.2*** 18.7 ± 19.1 14.8 ± 16.0*** 14.1 ± 16.7***

Notes: Abbreviations: FQHC – federally qualified health center; RHC – rural health clinic; SD -- standard deviation

*

p<0.05

**

p<0.01

***

p<0.001

±

Bivariate analyses were conducted using Wald tests to compare the value of each measure or category for those that received some or the majority of their ADHD- or depression-related visits in a primary care safety-net clinic to those that did not receive any in these settings (the reference group).

a

We used monthly information about plan enrollment to measure health plan type. This category includes children who were enrolled in a comprehensive managed care plan for their entire observation period.

b

This category includes those that were enrolled in more than one plan type during the observation period (including behavioral health plans).

c

Reference category includes children eligible for Medicaid based on household income, classification as “medically needy”, and/or other criteria specified in each state’s Section 1115 waiver.

County-level measures

Contextual-level enabling characteristics29 included the percentage of county residents living in an urban area (2000)32 and living in poverty (2008). We also examined the per capita (100,000) number of primary care safety-net clinics (FQHCs and RHCs) (2008), primary care physicians (2010), and psychologists (2009).

Analysis

We conducted bivariate analyses using Wald tests and multivariate analyses using generalized ordered logistic regressions to examine the correlates of mental health treatment in a primary care safety-net clinic. Next, we conducted bivariate analyses using Wald tests and multiple logistic regression analyses to examine whether the receipt of mental health care in one of these settings was correlated with quality measures. Regression models controlled for covariates described above; these analyses also included state indicators and standard errors were clustered at the county-level.

RESULTS

Receipt of mental health visits in primary care safety-net setting

Among the cohort that initiated ADHD medication, 4.0% received some (but not the majority) ADHD-related visits in a primary care safety-net clinic and 9.5% received the majority of ADHD-related visits in one of these settings (Table 1). Most of those that received any treatment in one of these clinics sought care exclusively in a RHC.

Table 1:

Percentage of Medicaid-enrolled youth that received mental health-related visits in a primary care safety-net setting (including federally qualified health centers and rural health clinics)

Medicaid-enrolled youth initiating ADHD medication (N=6,433) Medicaid-enrolled youth with index depression diagnosis (N=13,209)

N % N %
Received ADHD- or depression-related visits in any primary care safety-net clinic (FQHC and/or RHC)
 No visits in safety-net clinic 5,566 86.5 12,266 92.9
 Some visits (but less than the majority) in safety-net clinic 256 4.0 365 2.8
 Majority of visits in safety-net clinic 611 9.5 578 4.4
Received ADHD- or depression-related visits in FQHC or RHC
 No visits in safety-net clinic 5,566 86.5 12,266 92.9
 Any visits in FQHC 354 5.5 482 3.6
 Any visit in RHC (no FQHC visit) 513 8.0 461 3.5

Notes: Abbreviations: FQHC – federally qualified health center; RHC – rural health clinic; SD -- standard deviation

A smaller percentage of those with depression received care in a primary care safety-net clinic (Table 1). Specifically, 2.8% received some (but not the majority) of their depression-related visits and 4.4% received the majority of their depression-related visits in a primary care safety-net clinic, respectively. Just under half of those that sought care in a primary care safety-net clinic received treatment exclusively in an RHC.

Correlates Associated with Mental Health Treatment in a Primary Care Safety-net Clinic

Child-level correlates

In the cohort initiating ADHD medication, bivariate analyses (Table 2) indicated that those with diagnosed co-morbid conditions including oppositional defiant disorder/ conduct disorder (p<0.001), other mental health disorders (i.e., anxiety, bipolar disorder, schizophrenia/psychoses, and other mental health conditions; p<0.001), and asthma (p<0.001) were less likely to receive most ADHD-related visits in a primary care safety-net clinic. In the depression cohort, bivariate analyses indicated that those with any diagnosis of major depression (p<0.001) or dysthymia (no major depression, p<0.05) were less likely to receive most depression-related visits in a primary care safety-net setting. These findings remained statistically significant in regression analyses (Table 3) controlling for other child- and county-level correlates; the marginal effects indicate that those with co-morbid diagnoses in the ADHD cohort and those with more severe depression-related diagnoses in the depression cohort were less likely to receive the majority of visits for each respective condition in a primary care safety-net setting.

Table 3:

Regression results examining the association between characteristics of Medicaid-enrolled youth and the receipt of ADHD-related visits (N=6,433) or depression-related visits (13,209) in a primary care safety-net setting

ADHD-related visits in any primary care safety-net facility (FQHC or RHC) Depression-related visits in any primary care safety-net facility (FQHC or RHC)

Some (but less than majority) visits in safety-net (Intercept=3.9%) Majority visits in safety-net (Intercept=9.6%) Some (but less than majority) visits in safety-net (Intercept=2.8%) Majority visits in safety-net (Intercept=4.3%)

Adjusted Percentage Point Difference± 95% CI Adjusted Percentage Point Difference± 95% CI Adjusted Percentage Point Difference± 95% CI Adjusted Percentage Point Difference± 95% CI
Demographics
 Race/ethnicity
  Non-Hispanic White (Reference) -- -- -- -- -- -- -- --
  Black 0.3 −1.0, 1.5 0.2 −1.8, 2.2 −0.4 −1.4, 0.5 −0.2 −1.6, 1.3
  Hispanic −0.8 −3.1, 1.5 0.1 −3.6, 3.8 1.1 −0.5, 2.6 1.5 −0.6, 3.6
  Other/ Unknown −1.2 −3.1, 0.7 1.8 −1.3, 4.9 −0.6 −2.2, 1.0 1.4 −0.6, 3.4
 Age −0.3 −0.6, 0.0002 0.02 −0.4, 0.5 0.2 0.1, 0.3 0.3 0.1, 0.4
 Female −0.3 −1.1, 0.6 0.1 −1.2, 1.4 1.1 0.5, 1.7 0.6 −0.2, 1.4
Plan type
 Fee-for-service (no carve-out) (Reference) -- -- -- -- -- -- -- --
 Primary care case management (no carve-out) 1.5 −0.5, 3.6 −3.1 −6.3, 0.04 0.3 −1.3, 2.0 −1.5 −3.9, 0.8
 Comprehensive managed care plan (no carve-out)a 2.9 0.6, 5.3 −9.0 −11.9, −6.1 0.5 −0.5, 1.6 −1.9 −3.7, −0.1
 Mixed plansb 1.9 −0.2, 4.0 −5.8 −8.7, −3.0 0.6 −0.5, 1.8 −0.9 −2.8, 1.0
Eligibility type
 Blind, disabled, or foster care (versus other eligibility type)c 2.9 1.2, 4.6 −2.0 −4.8, 0.8 −0.8 −2.0, 0.4 −2.3 −3.7, −0.8
Mental health comorbidity
 ADHD -- -- -- -- 0.5 −0.2, 1.1 0.8 −0.04, 1.6
 Any depressive disorder 4.1 1.3, 6.9 −0.1 −3.2, 3.0 -- -- -- --
  Depression NOS only (Reference) -- -- -- -- -- -- -- --
  Dysthymia (no major depression) -- -- -- -- 0.1 −1.5, 1.6 −2.4 −4.3, −0.5
  Any major depression diagnosis -- -- -- -- 1.7 1.1, 2.4 −2.7 −3.7, −1.6
 Conduct disorder / oppositional defiant disorder 1.6 −0.1, 3.4 −3.7 −6.2, −1.3 0.03 −0.7, 0.8 −0.7 −1.9, 0.5
 Other mental health disorder 1.6 0.5, 2.7 −1.9 −3.6, −0.2 0.9 0.3, 1.6 0.04 −0.8, 0.9
Physical health comorbidity
 Asthma −0.8 −2.2, 0.7 −2.1 −4.1, −0.03 0.2 −0.7, 1.2 0.3 −0.7 – 1.3
County-level characteristics
 Percentage living in urban area −0.3 −1.1, 0.5 −2.3 −3.8, −0.9 −0.6 −1.1, −0.1 −1.2 −2.0, −0.4
 Percentage living in poverty −0.4 −1.0, 0.3 −0.4 −1.8, 0.9 0.001 −0.5, 0.5 0.2 −0.7, 1.0
 Primary care safety-net clinic per 100K 1.8 1.1, 2.5 3.6 2.4, 4.8 0.5 0.2, 0.9 1.0 0.5, 1.5
 Primary care physicians per 100K 0.2 −0.6, 1.0 −0.9 −2.4, 0.6 0.01 −0.5, 0.5 −0.3 −1.1, 0.4
 Psychologists, per 100K −0.4 −1.1, 0.3 0.8 −0.9, 2.4 −0.1 −0.6, 0.3 0.8 0.03, 1.6

Notes: Abbreviations: FQHC – federally qualified health center; RHC – rural health clinic.

±

Generalized ordered logistic regression was estimated with state indicators; standard errors were clustered at the county level.

a

We used monthly information about plan enrollment to measure health plan type. This category includes children who were enrolled in a comprehensive managed care plan for their entire observation period.

b

This category includes those that were enrolled in more than one plan type during the observation period (including behavioral health plans).

c

Reference category includes children eligible for Medicaid based on household income, classification as “medically needy”, and/or other criteria specified in each state’s Section 1115 waiver.

Plan type was also significantly associated with mental health-related visits in a primary care safety-net setting. In each cohort, bivariate results (Table 2) indicated that those enrolled in a comprehensive managed care plans and mixed plans were less likely to receive the majority of their ADHD- or depression-related visits (compared to no visits) in a primary care safety-net setting (p<0.001). These associations remained significant in regression analyses (Table 3).

County-level correlates

In both cohorts, bivariate analyses (Table 2) indicated that those who lived in counties with a lower percentage of residents living in urban areas, higher percentage of residents living in poverty, more primary care safety-net facilities per capita, and fewer primary care physicians and psychologists per capita were more likely to receive the majority of their ADHD- or depression-related visits in a primary care safety-net setting (all p-values < 0.001). In regression analyses, the findings associated with county percentage living in an urban area remained negative and significant, and the finding associated with primary care safety-net clinic supply remained positive and significant (Table 3).

Quality Measures across Safety-net Settings

The bivariate and multivariate analyses revealed mixed findings when examining measures of care quality across health care settings. Compared to those that did not receive any ADHD-related visits in a primary care safety-net clinic, regression results controlling for individual- and community-level characteristics (Table 4) indicated that those who received some (but not most) of their ADHD-related visits in one of these clinics were 7.9 percentage points (95% CI=1.5, 14.2) more likely to receive adequate follow-up care in the initiation phase and 7.6 percentage points (95% CI=1.4, 13.8) more likely to continue medication. Conversely, those who received the majority of ADHD-related visits in a primary care safety-net clinic were 27.7 percentage points (95% CI= −32.5, −23.0) and 24.3 percentage points (95% CI= −31.4, −17.3) less likely to receive adequate follow-up care in the initiation phase or the C&M phase of medication treatment, respectively, and 6.6 percentage points (95% CI= −11.2, −2.1) less likely to continue medication than those who received no ADHD-related visits in one of these settings.

Table 4:

Association between treatment in a primary care safety-net setting and the receipt of adequate follow-up care and continuous medication, among Medicaid-enrolled youth initiating ADHD medication

Percentage of youth that received ≥1 follow-up visit in initiation phase (N=6,433) Percentage of youth that continued medication (N=5,968) Percentage of youth that received adequate follow-up care in C&M phase (N=2,370)

Unadjusted percentage Adjusted Percentage Point Difference± (intercept = 63.8) 95% CI Unadjusted Percentage Adjusted Percentage Point Difference± (intercept = 39.7) 95% CI Unadjusted Percentage Adjusted Percentage Point Difference±(intercept = 69.3) 95% CI
No ADHD-related visit in primary care safetynet clinic (reference) 66.6 -- -- 39.4 -- -- 72.1 -- --
Received some (but less than majority) of ADHD-related visits in primary care safety-net clinic 75.0** 7.9* 1.5, 14.2 52.5*** 7.6* 1.4, 13.8 77.3 5.6 −3.1, 14.4
Received majority of ADHD-related visits in primary care safety-net clinic 33.9*** −27.7*** −32.5, −23.0 36.7 −6.6** −11.2, −2.1 37.3*** −24.3*** −31.4, −17.3

Notes: Primary care safety-net clinics include federally qualified health centers and rural health clinics.

Bivariate comparisons were conducted using Wald tests to compare outcome measures for those that received some or the majority of ADHD visits in a primary care safety-net clinic to those that received no ADHD visits in a primary care safety-net clinic (reference group).

±

Logistic regressions were estimated with state indicators, and standard errors were clustered at the county level. All models controlled for individual level age, gender, race/ethnicity, health plan type, basis of eligibility, comorbidities, county-level demographics and health care resources.

*

p<0.05

**

p<0.01

***

p<0.001

Findings from the bivariate and multivariate comparisons were also mixed for the cohort with a depression diagnosis. Compared to those with no depression-related visits in a primary care safety-net clinic (Table 5), regression results indicated that those who received some (but not most) of their depression-related visits and those who received the majority of their depression related visits in a primary care safety-net clinic were 9.3 percentage points (95% CI=5.8, 12.9) and 4.0 percentage points (95% CI=0.9, 7.1) more likely to receive minimally adequate pharmacotherapy, respectively. On the other hand, those who received the majority of depression-related visits in a primary care safety-net clinic were 19.9 percentage points (95% CI=−25.3, −14.5) and 9.5 percentage points (95% CI= −14.6, −4.4) less likely to receive minimally adequate psychotherapy and any minimally adequate treatment (psychotherapy or pharmacotherapy) than those without any depression-related visits in one of these settings, respectively.

Table 5:

Association between treatment in a primary care safety-net setting and the receipt of minimally adequate treatment for depression, among Medicaid-enrolled youth with a depression diagnosis

Percentage of youth that received minimally adequate psychotherapy (≥ 4 therapy visits) Percentage of youth that received minimally adequate pharmacotherapy (84 / 144 days) Percentage of youth that received minimally adequate treatment (psychotherapy or medication)

Unadjusted percentage Adjusted Percentage Point Difference± (intercept = 32.9) 95% CI Unadjusted Percentage Adjusted Percentage Point Difference±(intercept = 16.1) 95% CI Unadjusted Percentage Adjusted Percentage Point Difference±(intercept = 43.8) 95% CI
No depression-related visit in primary care safety-net clinic (reference) 33.7 -- -- 15.3 -- -- 44.0 -- --
Received some (but less than majority) of depression-related visits in primary care safety-net clinic 34.4 −3.1 −8.3, 2.0 33.7*** 9.3*** 5.8, 12.9 54.5*** 4.0 −1.6, 9.7
Received majority of depression-related visits in primary care safety-net clinic 15.2*** −19.9*** −25.3, −14.5 21.5*** 4.0* 0.9, 7.1 33.9*** −9.5*** −14.6, −4.4

Notes: Primary care safety-net clinics include federally qualified health centers and rural health clinics.

N=13,209

Bivariate comparisons were conducted using Wald tests to compare outcome measures for those that received some or the majority of depression visits in a primary care safety-net clinic to those that received no depression visits in a primary care safety-net clinic (reference group).

±

Logistic regressions were estimated with state indicators and standard errors were clustered at the county level. All models controlled for individual level age, gender, race/ethnicity, health plan type, basis of eligibility, comorbidities, county-level demographics and health care resources.

*

p<0.05

**

p<0.01

***

p<0.001

DISCUSSION

Children living in less urbanized counties were more likely to receive mental health treatment in a primary care safety-net clinic, which adds to prior literature highlighting the potential of primary care safety-net clinics to fill gaps in the mental health treatment system outside of urban areas.7 Our findings also shed light on the role of RHCs in this infrastructure, as more than half of youth initiating ADHD medication in a primary care safety-net clinic sought treatment exclusively from an RHC (versus an FQHC). Because they are required to be located in non-urbanized areas,11 many RHCs serve populations living in communities with extremely limited (if any) mental health care resources.5

Medicaid-enrolled youth who received most of their ADHD visits in a primary care safety-net clinic were less likely to have diagnosed co-morbid mental health disorders, and those who received most depression-related visits in a primary care safety-net were less likely to have any diagnosis of major depression than those who received no care in these settings. Together, these findings add to prior literature that indicates primary care safety-net clinics may serve those with less severe mental health needs than those treated in other settings.16 Another possible explanation, however, may involve coding practices. If primary care safety-net providers are less likely to code secondary mental health diagnoses (regardless of the underlying severity of mental health needs), this may also account for some of the differences in diagnosed comorbidities in the ADHD cohort.

Our results also indicate that youth enrolled in comprehensive managed care plans and mixed plans werevless likely to receive most ADHD or depression care in primary care safety net settings. This association may be explained by multiple mechanisms including greater enrollment in comprehensive and mixed plans in urban areas33 (where RHCs are less commonly a site of treatment) and more complete coding practices by providers in areas and states served by comprehensive managed care plans.34

Those who received most visits for their respective mental health disorder from a primary care safety-net clinic had lower care quality on five of the six outcome measures examined compared to those that did not receive treatment from these settings. These findings diverge from prior literature reporting that patients treated in primary care safety-net clinics (FQHCs in particular) receive comparable quality of care relative to national averages or relative to those treated in other physician offices.35, 36 Our findings may represent unmeasured differences in child- or family-level characteristics (such as need or preferences for services) between those seeking care in different settings. It is also possible that primary care safety-net clinics have fewer staff with specialty training needed to serve youth with mental health needs. Nevertheless, it is worth noting that the outcome measures were either based on specifications from the HEDIS performance measurement database28,37 or clinical guidelines.38,39 Thus, these measures represent important targets that any healthcare setting or provider should aim to achieve.

The results also suggest that primary care safety-net clinics played a relatively small role in the provision of mental health services to youth during the study period. The percentage of primary care safety-net clinics offering specialty mental health services has increased in recent years,18 and the federal government has invested considerable resources to help primary care safety-net clinics expand their capacity to offer mental health services.40 In FY2017, the Health Resources and Services Administration awarded more than $200 million for behavioral health expansion grants to 1,178 health centers and 13 rural health organizations to increase access to substance abuse and mental health services.4042 Future studies should assess whether this investment has translated into an expansion of behavioral health services in primary care safetynet settings for the child and adolescent population.

There are several limitations to acknowledge. First, the data are several years old and the findings from these states may not generalize to other states. Second, there were unmeasured organization-level characteristics, including the demographic composition of the practice/clinic (e.g., age composition) or whether the practice/clinic had any collaborative care relationships with mental health providers outside the practice. Third, coding errors in administrative claims databases may result in measurement error.43 Lastly, because the data are cross-sectional, causality cannot be inferred from these analyses.

CONCLUSION

This study examined the role of primary care safety-net clinics in the provision mental health services to Medicaid-enrolled youth. Children in less urbanized areas were more likely to receive their mental health care in these settings. Nevertheless, these facilities served a relatively small percentage of Medicaid-enrolled youth seeking mental health treatment. As investment in the expansion of mental health services in the primary care safety-net grows, it will be critical to assess whether additional resources translate into improved mental health care access and quality for this population.

Supplementary Material

supplement

HIGHLIGHTS.

  • We examined correlates and quality of care of mental health treatment for Medicaid-enrolled youth treated in primary care safety-net settings (including federally qualified health centers and rural health clinics).

  • Only 13.5% of youth initiating ADHD medication and 7.2% of youth with an index depression diagnosis sought mental health treatment in primary care safety-net clinic.

  • Those living in less urbanized counties were more likely to receive mental health treatment in a primary care safety-net clinic.

  • Those who received the majority of mental health treatment (versus none) in a primary care safety-net clinic generally received lower care quality.

Acknowledgements:

The authors gratefully acknowledge the helpful comments of Adam Wilk and the anonymous reviewers. This work was supported by the National Institute of Mental Health (K01MH095823). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Footnotes

Conflict of Interest: The authors have no conflicts of interest to disclose.

Financial Disclosure: The authors have no financial relationships relevant to this article to disclose.

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

supplement

RESOURCES