Study Design and Participants
We conducted a cross-sectional organizational survey on PC-MHI services and received responses from key informants for 65 of 69 primary care clinics in Southern California, Arizona, and New Mexico, from February to May 2018 (94% response rate). While there were 76 clinics that provided primary care services to VA patients in this region during the study period, we excluded seven clinics, including sites that were specialty-based (e.g., HIV, homeless) and Indian Health Services–operated, as previously documented.13 Electronic surveys were completed online by each clinic’s designated primary care clinical leader. Leaders were frontline full-time VA clinicians (e.g., physicians, nurse practitioners), responsible for overseeing clinical operations, and most knowledgeable about medical staffing and technology use within his/her clinic’s workflow. We received and analyzed responses from leaders of 7 VA hospital- and 58 community-based primary care clinics, of which only three reported no available PC-MHI services.13 On average, these 65 clinics were 73 miles from affiliated VA hospitals and cared for 6437 primary care patients, who were at slightly lower than average clinical risk (Nosos = 0.9[.2]).13
Survey Design and Measures
This study examined responses for three sets of survey questions about PC-MHI programs (Appendix). Questions were irrelevant for three clinics because they reported having neither embedded mental health providers or care managers available for mental health needs. Individual item response rates ranged from 85 to 97%.
Main outcomes were primary care clinical leader–rated satisfaction with various mental health care services provided by embedded specialists (e.g., availability of care, quality of care, communication related to care). Based on the skewed distribution of responses, we dichotomized the 5-point ordinal scale into “very satisfied” versus all other response options. We assessed satisfaction for (1) long-time target PC-MHI conditions (depression, anxiety, alcohol misuse/problem drinking), (2) non-target mental health conditions (posttraumatic stress disorder [PTSD], serious mental illness other than PTSD [schizophrenia, bipolar disorder], substance misuse/illicit drug problems, mental health symptoms related to military sexual trauma and/or intimate partner violence), (3) other mental health–linked behavioral health issues (sleep problems, complex high medical needs, disruptive behavior, medication non-adherence, non-adherence to necessary clinical care other than medications, pain), and (4) suicide risk management.
The first key independent variable was primary care clinical leader–reported availability of nurse care managers who liaison between primary care and mental health specialists (either on-site or off-site, and through PC-MHI or PACT). We chose to examine the availability of care managers, in order to explore PC-MHI features that facilitate collaboration between primary care provider and existing mental health specialists. In a previous work, we reported that 77% of study clinics reported available care managers for mental health needs, which may occur on- or off-site and may be funded by primary care and/or mental health resources.13
The second key independent variable was primary care clinical leader–reported sufficiency of PC-MHI information communication technology, which may similarly facilitate collaboration between primary care and mental health specialists. In a previous work, we found that the majority of primary care clinical leaders reported that in-person PC-MHI collaboration, such as “warm handoffs” and same-day consultation, were readily assessible.13 Here, we considered technological innovations that enhanced collaboration through information sharing, specifically virtual visits and consultation platforms,28 and then developed a scale comprised of three sets of survey questions to measure primary care–perceived sufficiency for such technologies (Cronbach α = 0.81) (Fig. 1). Primary care clinical leader–rated sufficiency for (1) office space or tools for telemental health (virtual visit) capability, (2) electronic referral/consultation to PC-MHI (e-consult), and (3) real-time electronic communication (instant messaging) with PC-MHI staff on a 5-point ordinal scale. Responses from a 5-point ordinal scale were dichotomized as “always sufficient” versus all other responses options and scaled as follows: low (0 technology components reported as “always sufficient”), medium (1–2 components), and high (all 3 components).
Organizational characteristics, such as clinic size (total number of empaneled primary care patients), were obtained from VA administrative data sources. To adjust for case-mix, we obtained Nosos risk scores, which are calculated by the VA to adjust for patient age, gender, physical and mental health diagnoses, pharmacy records, VA priority status (e.g., having a service-connected disability), and VA-computed costs.29 An online web mapping service was used to calculate geographical distance (mileage) from the affiliated VA hospital to each primary care clinic.
Statistical Analysis
Consistent with the survey’s unit of analysis, we conducted analyses at the primary care clinic level. First, we calculated the percentage of primary care clinical leaders reporting they were “very satisfied” with PC-MHI care for target, non-target, and behavioral health conditions or concerns, and reporting “always (and usually) sufficient” for telemental health resources, e-consult, and instant messaging with PC-MHI staff. We then used χ2 statistics to assess associations between (1) primary care clinical leader–rated satisfaction and availability of care manager for mental health needs and (2) primary care clinical leader–rated satisfaction and availability of PC-MHI information communication technology. Finally, we used logistic regressions to examine these relationships, controlling for clinic size, distance to VA hospital, and case-mix. In sensitivity analyses, we examined relationships with outcome measures (1) to each technology component (telemental health, e-consult, instant messaging) and (2) to both key independent variables concurrently in the same model. We reported all individual p values (test statistics and confidence intervals), as no mathematical correction was made for multiple comparisons. For all models, we determined significance using a 2-tailed alpha of 0.05 and analyzed data in Stata 15.0. The VA Greater Los Angeles Institutional Review Board provided a waiver for this non-research, quality improvement effort.