INTRODUCTION

Approximately 25 % of adults experience a mental health or substance use disorder (MHSUD) each year.1 Primary care is often a first step in the treatment of MHSUDs,2,3 and this is increasing with new paradigms of primary care, including Patient-Centered Medical Homes (PCMHs).46 PCMHs use an integrated, team-based approach to delivering primary care services that are comprehensive, patient-centered, accessible, and quality driven.7 This model is thought to be particularly helpful in managing care and addressing social determinants of health for vulnerable patients, such as those with MHSUDs.8 For example, the PCMH model has been associated with increased visits to mental health specialists, improved adherence to psychiatric medications, and greater mental health recovery for patients with MHSUDs.913

Despite evidence suggesting that the PCMH model can benefit patients with MHSUDs, a paucity of data exists regarding patient experiences with care in the PCMH. In general, the positive experiences with care reported by outpatient populations have been associated with increased health service utilization, adherence to treatment recommendations, and better health outcomes.14,15 Patient experiences are particularly important for patients with MHSUDs since negative experiences can contribute to avoidance or discontinuation of mental health treatment.16 We are unaware of any published investigations of MHSUD patient experiences within PCMH settings.

Of additional interest is whether, among patients with MHSUDs, patients of diverse racial/ethnic backgrounds have different experiences with PCMH care. Racial/ethnic minorities are at-risk for poor healthcare experiences in traditional primary care settings,1727 which can contribute to negative physical and mental health outcomes.14 In general patient populations, patient-reported experiences with accessing healthcare are less positive for Black, Hispanic, and Asian/Pacific Island (A/PI) patients compared to Whites.18,2025,28,29 In the domains of provider communication and office-staff experience, A/PI patients report less positive experiences than Whites,18,2225,29 Black patients report similar or more positive experiences than Whites, and patterns of Hispanic-White differences are mixed.18,2025,2830 Given that the PCMH model aims to address many of the drivers of racial/ethnic disparities in healthcare (e.g., limited access, fragmentation of services, low satisfaction with care),31 it is important to examine whether racial/ethnic differences in healthcare experiences exist within this framework, particularly among those who may already be at risk for poor experiences because of an existing MHSUD.32,33 Patient experiences are particularly important for racial/ethnic minorities with MHSUDs who, compared to Whites, are less likely to use mental health/substance abuse services,34 and less likely to complete mental health/substance abuse treatment.35

Thus, we sought to examine racial/ethnic differences in patient experiences in a national sample of White, Black, Hispanic, A/PI, and American Indian/Alaska Native (AI/AN) Veterans with MHSUDs who received primary care in PCMH settings. The Veterans Health Administration (VHA) began PCMH transformations in 2010 and collects data on patient experiences aligned with key PCMH goals, including access, comprehensiveness, patient-centered communication, self-management support, and patient involvement in decision making.36 We hypothesized that racial/ethnic minority Veterans with MHSUDs would report worse (i.e., more negative and less positive) PCMH experiences than White Veterans. Because other patient characteristics, such as education, age, and MHSUD diagnoses, vary across racial/ethnic groups37,38 and are associated with patient-reported experiences with care,32,33,39 we explored whether racial/ethnic differences in experiences with care persisted after controlling for patient sociodemographic and clinical characteristics.

METHODS

Design

We conducted a cross-sectional analysis to examine racial/ethnic differences in patient-reported PCMH experiences in a national sample of Veterans diagnosed with MHSUDs receiving primary care in VHA between October 2012 and September 2013 (henceforth referred to as “2013”).

Data Sources and Study Sample

We used data from the 2013 PCMH-Survey of Healthcare Experiences of Patients (PCMH-SHEP) and administrative data from the VHA Corporate Data Warehouse. The PCMH-SHEP is an ongoing survey of primary care experiences conducted by the VHA Office of Analytics and Business Intelligence.40 Veterans are eligible for the PCMH-SHEP if they are age 18 or older, received VHA outpatient services in the index month, had a primary care visit with an assigned PCMH provider in the 10 months prior to the index month, and did not participate in the prior year’s survey. Each month, a stratified, random sample of eligible Veterans is first mailed a letter explaining the goals of the survey, followed by the survey the next week, and a thank-you/reminder postcard the third week.

We linked patient responses from the 2013 PCMH-SHEP to past-year diagnoses and sociodemographic characteristics drawn from administrative records. Veterans were eligible for the current study if, in the year prior to the survey, they experienced one inpatient visit or two outpatient visit days with an International Classification of Diseases version 9 (ICD-9) diagnosis for common MHSUDs, including depression, post-traumatic stress disorder, other anxiety disorders, bipolar disorder, any psychotic disorder, or alcohol or drug use disorder.41 To focus on patients with probable mental health service needs, we ignored disorders where remission was indicated (i.e., depression, bipolar disorder, or schizophrenia in remission). In addition, we excluded patients who reported two or more races, because this group is heterogeneous and their findings would be difficult to interpret. Veterans with missing data on one or more sociodemographic variables were also excluded. The VA Pittsburgh Healthcare System’s Institutional Review Board approved this study.

Outcome Variables

We examined patient-reported experiences with care in seven domains measured in the PCMH-SHEP survey, which is based on the Consumer Assessment of Healthcare Providers and Systems (CAHPS) PCMH Survey (version 2.0).42,43 See Table 1 for individual items, response options, and internal reliability for each domain. Briefly, the access domain assessed timely appointments and care. The communication domain assessed how well providers communicate with patients. The office staff domain assessed staff helpfulness and courtesy or respect. Comprehensiveness assessed whether providers inquire about mental health, substance use, or emotional concerns. Support for self-management assessed whether providers support patients in taking care of their own health. Medication-shared decision making assessed whether providers discussed medication decisions with patients. Finally, Veterans’ overall rating of their assigned PCMH provider was assessed using a 0–10 scale.

Table 1. Description of Patient-Centered Medical Home Survey Domains

For all multi-item domains, composite scores were calculated as the average of non-missing items for each individual. Experience ratings were negatively skewed, with most Veterans reporting positive experiences. We therefore categorized experiences in each domain as negative, moderate, or positive (Table 1). As in prior research, we selected negative and positive cut-points to ensure a sufficient number of participants were included in each category, and to minimize potential problems of extreme response tendencies for racial/ethnic minorities.21,44,45

Independent Variables

PCMH-SHEP asks participants to select one or more races (White, Black or African American, Asian, Native Hawaiian or Pacific Islander, American Indian or Alaska Native), and to mark if they are of Hispanic or Latino origin (yes/no). Those who reported Hispanic ethnicity were coded as Hispanic, and those who did not select Hispanic ethnicity were classified according to their self-reported race: White, Black, A/PI, AI/AN, or multiple races. For this analysis, those with multiple races or missing race/ethnicity were excluded due to the difficulty of interpreting results for these groups.

Covariates

We included control variables known to be associated with patient experiences with care.21,39 Specifically, age, gender, and marital status were drawn from the administrative record closest to the PCMH-SHEP survey date. Self-reported education, general health ratings and mental health ratings (i.e., In general, would you rate your overall health/mental or emotional health: excellent, very good, good, fair, poor?”) were assessed on the PCMH-SHEP. Charlson Comorbidity Index scores were calculated using data from administrative records in the 12 months prior to their PCMH-SHEP index month.46 We controlled for specific MHSUD diagnoses (e.g., bipolar disorder, psychotic disorder) that vary across racial/ethnic minority groups4749 and may affect patient experiences with care. To account for geographic variations in patient experiences, we controlled for receipt of care at a VHA facility outside the U.S. (i.e., Puerto Rico, Virgin Islands, American Samoa, Philippines), and urban versus rural U.S. residence. We also controlled for insurance (Medicaid, Medicare, private insurance) as a proxy for non-VHA service use.

Statistical Analyses

Analyses were conducted using Stata 13.0.50 We applied PCMH-SHEP survey weights to account for participant selection and survey non-response. Standard errors were estimated using a Taylor series approximation that accounted for the stratified sampling design. We used Rao-Scott chi-square tests to examine overall and pairwise racial/ethnic minority versus White differences in sociodemographic characteristics and study outcome variables. Multivariable multinomial regression models were employed to estimate racial/ethnic differences in reporting negative, moderate, or positive experiences, adjusting for the measured sociodemographic and clinical characteristics. We converted the multinomial regression coefficients to risk differences to aid in the interpretation of results. That is, we estimated the difference in probability of reporting a positive or negative experience for each racial/ethnic group compared to Whites.

In preliminary analyses we used mixed effect regression methods to explore the need to account for the clustering of racial/ethnic minorities within VHA facilities. The intraclass correlation coefficient for all outcomes was less than 10 %, indicating that facility-level variation accounted for only a small percentage of variance in PCMH ratings. Moreover, adjusting for facility characteristics (e.g., patient-mix, facility size) did not meaningfully alter our estimates of racial/ethnic differences. Therefore, the simpler multinomial regression results are presented.

RESULTS

Of the 598,607 Veteran outpatients included in the sampling time frame, 269,917 (45 %) completed the PCMH-SHEP survey. Of the survey completers, 72,217 (27 %) had an active past-year MHSUD diagnosis and 65,930 (24 %) met all eligibility criteria (Fig. 1). The final weighted sample was 67 % White, 20 % Black, 11 % Hispanic, 1 % AI/AN, and 1 % A/PI.

Figure 1.
figure 1

Inclusion and exclusion criteria applied to create an analytic sample of Veterans who completed the 2013 Veterans Healthcare Administration Patient Centered Medical Home Survey of Healthcare Experiences of Patients (PCMH-SHEP) and had an active mental health or substance abuse disorder in the prior year. Exclusion criteria were applied sequentially.

Racial/Ethnic Differences in Sociodemographic and Clinical Characteristics among VHA Outpatients with MHSUD Diagnoses

Statistically significant racial/ethnic differences were observed on most sociodemographic and clinical variables (Table 2). Specifically, compared to Whites, Black, Hispanic, AI/AN, and A/PI patients were younger, and Black Veterans were more likely to be female. Hispanics and Blacks rated their general health and mental health as “fair” or “poor” more often than Whites. Blacks and A/PIs more often lived in urban U.S. areas, while Hispanics and A/PIs more often received care at a facility outside the U.S. A/PI patients reported significantly higher educational attainment than Whites.

Table 2. Sociodemographic Characteristics of Veterans with Past-Year Mental Health and Substance Abuse Diagnoses

Hispanic and A/PI patients had lower Charlson comorbidity scores than Whites. Regarding specific MHSUD diagnoses, Hispanics, AI/ANs, and A/PIs had higher rates of post-traumatic stress disorder; Blacks, Hispanics, and A/PIs had lower rates of anxiety disorders and bipolar disorder, but significantly higher rates of psychotic disorders; Blacks had higher rates of alcohol use disorder; and Blacks and APIs had higher rates of drug use disorders.

PCMH Experiences Overall

The proportion of Veterans with positive care experiences ranged from 22 to 60 % across domains, with the fewest positive experiences observed in access (22 %, Table 3). The proportion of Veterans with MHSUDs reporting negative care experiences ranged from 8 to 30 % across domains, with the most negative experiences observed in self-management support. In addition, 16 % of Veterans with MHSUDs reported that their provider did not inquire about mental health concerns, resulting in negative experiences with comprehensiveness.

Table 3. Distribution of Negative and Positive Experiences with Care in a Patient-Centered Medical Home by Race/Ethnicity

Racial/Ethnic Differences in PCMH Experiences

Overall tests of racial/ethnic differences revealed significant variations in patient experiences in all domains except provider ratings (Table 3). Adjusted racial/ethnic differences are presented in Figure 2, with Whites serving as the reference group for all comparisons. The patterns of significant adjusted racial/ethnic differences were unique for each domain, as described below.

Figure 2.
figure 2

Adjusted racial/ethnic differences in the probability of reporting negative and positive experiences with care. Risk differences were estimated from multivariable multinomial logistic regression models that controlled for age, gender, education, general health and mental health ratings, Charlson comorbidity index scores, marital status, outside U.S. facility, U.S. urban vs. rural residence, insurance, and mental health and substance use disorder diagnoses.

Access

Blacks and Hispanics reported more negative and fewer positive experiences than Whites. AI/ANs also reported more negative experiences, while no significant differences for A/PIs were observed.

Communication

Blacks reported fewer negative experiences with communication than Whites, and no significant differences were found for Hispanics. However, AI/ANs reported more negative and fewer positive experiences and A/PIs reported fewer positive experiences.

Office Staff

No significant differences were observed for Blacks. Alternatively, Hispanics reported fewer positive experiences than Whites, and AI/ANs and A/PIs reported more negative experiences.

Provider Ratings

Blacks and Hispanics reported more positive and fewer negative ratings, but no significant differences were found for AI/ANs or A/PIs.

Comprehensiveness

Blacks reported more positive experiences, while Hispanics reported more negative experiences. No significant differences for AI/ANs or APIs were observed.

Medication Decision Making

Blacks reported fewer negative experiences, and both Blacks and Hispanics reported more positive experiences. No significant differences were found for AI/ANs or A/PIs.

Self-Management Support

Blacks reported more positive and fewer negative experiences than Whites, but no significant differences existed for Hispanics, AI/ANs, or A/PIs.

DISCUSSION

This study provides new insights into patient experiences with care within PCMHs for racial/ethnic minority Veterans with MHSUDs. Regardless of race, we identified possible gaps in patient experiences with access, self-management support, and comprehensiveness among Veterans with MHSUDs. In addition, we identified adjusted racial/ethnic differences in experiences with care, with one or more racial/ethnic groups reporting more negative or fewer positive experiences than Whites in domains of access, comprehensiveness, office staff, and communication.

This study increases our understanding of variations in healthcare experiences in several ways. First, prior studies have compared patient-reported experiences for those with MHSUDs versus those without,32,33,51 with less attention to racial/ethnic differences among patients with MHSUDs.39 Second, prior studies have often excluded small groups such as AI/ANs or combined small groups into a heterogeneous “other” category. Third, our investigation of patient experiences includes domains of care added to the core CAHPS survey in 2011 for their relevance to PCMH goals (i.e., comprehensiveness, medication shared-decision making, and self-management support).52 These PCMH domains were not assessed in prior studies using the standard CAHPS.

Our findings have implications for improving PCMH experiences of Veterans with MHSUDs and for racial/ethnic minority groups, in particular. First, Veterans with MHSUDs regardless of race/ethnicity reported the least positive experiences with access, suggesting that among the dimensions assessed access to care was the most problematic. In addition, in this study, there were consistently less positive and/or more negative patient-reported experiences with access for Blacks, Hispanics, and AI/ANs compared with Whites. Thus, the study findings indicate that special attention needs to be focused on improving access in general, with additional emphasis placed on meeting the access needs of populations with multiple vulnerabilities, including racial/ethnic minorities with MHSUDs.

Second, the relatively high percentage of Veterans reporting negative experiences with self-management support, regardless of racial/ethnic group, suggests this is another area for intervention to improve patient experiences in the PCMH. Patients with MHSUDs experience a disproportionate burden of chronic diseases (e.g., diabetes, hypertension) and are at-risk for premature mortality due to poor management of physical health conditions.53 If VHA is using self-management support as a primary or adjunctive modality to address the morbidity of MHSUDs, interventions may be needed to promote more positive experiences. Our finding that Blacks reported more positive experiences with self-management support than did Whites offers a hope that primary care providers may be doing a better job of engaging some racial/ethnic minorities in self-management strategies.

Third, our finding of racial/ethnic differences in experiences with communication and office staff helpfulness/courtesy indicate that Hispanics, A/PIs, and AI/ANs with MHSUDs may be particularly at-risk for poor interpersonal experiences with care within PCMHs. While these racial/ethnic differences are small (< 5 %), the MHSUD population is vulnerable and at-risk for receiving poor quality care and negative health outcomes. It is possible, then, that even small differences in experiences with communication and office staff may contribute to poor mental health treatment outcomes.16 Our results help to lay the groundwork for future research to investigate how differences in primary care experiences may impact care processes and outcomes for racial/ethnic minority Veterans with MHSUDs.

Study findings also have implications for monitoring racial/ethnic differences in experiences with care for public reporting or quality improvement purposes. First, our findings suggest that focusing exclusively on positive experiences, per existing CAHPS scoring guidelines,52 would miss some racial/ethnic differences in negative experiences of care. Negative experiences in comprehensiveness, in particular, warrant evaluation because low scores in this domain indicate no provider inquiry into mental health concerns. Second, the finding of heterogeneous patterns of racial/ethnic differences observed across specific populations underscores the importance of disaggregating racial/ethnic groups when evaluating care in PCMHs.21

We acknowledge several study limitations. First, the small numbers of A/PI and AI/AN Veterans might have reduced our power to detect differences specific to these groups. Second, eligibility for inclusion in our study cohort was defined by ICD-9 diagnoses in the administrative record, thus potentially missing patients with undiagnosed MHSUDs, misclassifying patients with incorrect diagnoses,48 and over-including non-symptomatic patients with a currently documented MHSUD. Third, generalizability of the study findings is limited by several factors. We only examined experiences of Veterans with MHSUD diagnoses receiving primary care services in VHA. Therefore, results may not generalize to civilians, to Veterans receiving primary care in other integrated healthcare systems, or to Veterans without MHSUDs. Moreover, while our survey response rate of 45 % is better than CAHPS PCMH response rates in other outpatient settings,40,41 it does limit the generalizability of this study. Fourth, with the data available, we were unable to identify causes of racial/ethnic differences in experiences with care, such as patient expectations or provider biases. Finally, our findings of differences in patient experiences do not necessarily indicate differences in the quality of care received. However, our patient experience measures do capture patient perceptions of care, which are an important factor in treatment adherence and clinical outcomes.16,54

CONCLUSIONS

This study contributes new findings on patient experiences in a diverse national sample of patients with an MHSUD receiving care in VHA’s PCMH setting. Study results suggest possible deficits in primary care access, self-management support, and comprehensiveness of care provided to patients with MHSUDs. In addition, our results indicate that ongoing program evaluation and performance improvement processes related to PCMH reforms need to focus more directly on the needs and experiences of racial/ethnic minority populations in order to eliminate racial/ethnic disparities in the domains of access, comprehensiveness, communication, and office staff courtesy/helpfulness. Assumptions that the PCMH framework will uniformly improve patient experiences, and also reduce racial/ethnic disparities, need to be carefully examined and explicitly tested going forward in the movement to enhance access and quality of care through integration of mental health and primary care services.