Development of the Perceived Access Inventory: A patient-centered measure of access to mental health care.

According to recent Congressional testimony by the Secretary for Veterans Affairs (VA), improving the timeliness of services is one of five current priorities for VA. A comprehensive access measure, grounded in veterans' experience, is essential to support VA's efforts to improve access. In this article, the authors describe the process they used to develop the Perceived Access Inventory (PAI), a veteran-centered measure of perceived access to mental health services. They used a multiphase, mixed-methods approach to develop the PAI. Each phase built on and was informed by preceding phases. In Phase 1, the authors conducted 80 individual, semistructured, qualitative interviews with veterans from 3 geographic regions to elicit the barriers and facilitators they experienced in seeking mental health care. In Phase 2, they generated a preliminary set of 77 PAI items based on Phase 1 qualitative data. In Phase 3, an external expert panel rated the preliminary PAI items in terms of relevance and importance, and provided feedback on format and response options. Thirty-nine PAI items resulted from Phase 3. In Phase 4, veterans gave feedback on the readability and understandability of the PAI items generated in Phase 3. Following completion of these 4 developmental phases, the PAI included 43 items addressing 5 domains: logistics (five items), culture (three items), digital (nine items), systems of care (13 items), and experiences of care (13 items). Future work will evaluate concurrent and predictive validity, test/retest reliability, sensitivity to change, and the need for further item reduction. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Development of a Perceived Access Inventory for Community Care Mental Healthcare Services for Veterans.

INTRODUCTION: Access to high-quality healthcare, including mental healthcare, is a high priority for the Department of Veterans Affairs (VA). Meaningful monitoring of progress will require patient-centered measures of access. To that end, we developed the Perceived Access Inventory focused on access to VA mental health services (PAI-VA). However, VA is purchasing increasing amounts of mental health services from community mental health providers. In this paper, we describe the development of a PAI for users of VA-funded community mental healthcare that incorporates access barriers unique to community care service use and compares the barriers most frequently reported by veterans using community mental health services to those most frequently reported by veterans using VA mental health services. MATERIALS AND METHODS: We conducted mixed qualitative and quantitative interviews with 25 veterans who had experience using community mental health services through the Veterans Choice Program (VCP). We used opt-out invitation letters to recruit veterans from three geographic regions. Data were collected on sociodemographics, rurality, symptom severity, and service satisfaction. Participants also completed two measures of perceived barriers to mental healthcare: the PAI-VA adapted to focus on access to mental healthcare in the community and Hoge's 13-item measure. This study was reviewed and approved by the VA Central Institutional Review Board. RESULTS: Analysis of qualitative interview data identified four topics that were not addressed in the PAI-VA: veterans being billed directly by a VCP mental health provider, lack of care coordination and communication between VCP and VA mental health providers, veterans needing to travel to a VA facility to have VCP provider prescriptions filled, and delays in VCP re-authorization. To develop a PAI for community-care users, we created items corresponding to each of the four community-care-specific topics and added them to the 43-item PAI-VA. When we compared the 10 most frequently endorsed barriers to mental healthcare in this study sample to the ten most frequently endorsed by a separate sample of current VA mental healthcare users, six items were common to both groups. The four items unique to community-care were: long waits for the first mental health appointment, lack of awareness of available mental health services, short appointments, and providers' lack of knowledge of military culture. CONCLUSIONS: Four new barriers specific to veteran access to community mental healthcare were identified. These barriers, which were largely administrative rather than arising from the clinical encounter itself, were included in the PAI for community care. Study strengths include capturing access barriers from the veteran experience across three geographic regions. Weaknesses include the relatively small number of participants and data collection from an early stage of Veteran Choice Program implementation. As VA expands its coverage of community-based mental healthcare, being able to assess the success of the initiative from the perspective of program users becomes increasingly important. The 47-item PAI for community care offers a useful tool to identify barriers experienced by veterans in accessing mental healthcare in the community, overall and in specific settings, as well as to track the impact of interventions to improve access to mental healthcare.

Veterans' Attitudes Toward Smartphone App Use for Mental Health Care: Qualitative Study of Rurality and Age Differences.

BACKGROUND: Mental health smartphone apps provide support, skills, and symptom tracking on demand and come at minimal to no additional cost to patients. Although the Department of Veterans Affairs has established itself as a national leader in the creation of mental health apps, veterans' attitudes regarding the use of these innovations are largely unknown, particularly among rural and aging populations who may benefit from increased access to care. OBJECTIVE: The objective of our study was to examine veterans' attitudes toward smartphone apps and to assess whether openness toward this technology varies by age or rurality. METHODS: We conducted semistructured qualitative interviews with 66 veterans from rural and urban areas in Maine, Arkansas, and California. Eligible veterans aged 18 to 70 years had screened positive for postraumatic stress disorder (PTSD), alcohol use disorder, or major depressive disorder, but a history of mental health service utilization was not required. Interviews were digitally recorded, professionally transcribed, and coded by a research team using an established codebook. We then conducted a thematic analysis of segments pertaining to smartphone use, informed by existing theories of technology adoption. RESULTS: Interviews revealed a marked division regarding openness to mental health smartphone apps, such that veterans either expressed strongly positive or negative views about their usage, with few participants sharing ambivalent or neutral opinions. Differences emerged between rural and urban veterans' attitudes, with rural veterans tending to oppose app usage, describe smartphones as hard to navigate, and cite barriers such as financial limitations and connectivity issues, more so than urban populations. Moreover, rural veterans more often described smartphones as being opposed to their values. Differences did not emerge between younger and older (≥50) veterans regarding beliefs that apps could be effective or compatible with their culture and identity. However, compared with younger veterans, older veterans more often reported not owning a smartphone and described this technology as being difficult to use. CONCLUSIONS: Openness toward the use of smartphone apps in mental health treatment may vary based on rurality, and further exploration of the barriers cited by rural veterans is needed to improve access to care. In addition, findings indicate that older patients may be more open to integrating technology into their mental health care than providers might assume, although such patients may have more trouble navigating these devices and may benefit from simplified app designs or smartphone training. Given the strong opinions expressed either for or against smartphone apps, our findings suggest that apps may not be an ideal adjunctive treatment for all patients, but it is important to identify those who are open to and may greatly benefit from this technology.

Veteran-centered barriers to VA mental healthcare services use.

BACKGROUND: Some veterans face multiple barriers to VA mental healthcare service use. However, there is limited understanding of how veterans' experiences and meaning systems shape their perceptions of barriers to VA mental health service use. In 2015, a participatory, mixed-methods project was initiated to elicit veteran-centered barriers to using mental healthcare services among a diverse sample of US rural and urban veterans. We sought to identify veteran-centric barriers to mental healthcare to increase initial engagement and continuation with VA mental healthcare services. METHODS: Cultural Domain Analysis, incorporated in a mixed methods approach, generated a cognitive map of veterans' barriers to care. The method involved: 1) free lists of barriers categorized through participant pile sorting; 2) multi-dimensional scaling and cluster analysis for item clusters in spatial dimensions; and 3) participant review, explanation, and interpretation for dimensions of the cultural domain. Item relations were synthesized within and across domain dimensions to contextualize mental health help-seeking behavior. RESULTS: Participants determined five dimensions of barriers to VA mental healthcare services: concern about what others think; financial, personal, and physical obstacles; confidence in the VA healthcare system; navigating VA benefits and healthcare services; and privacy, security, and abuse of services. CONCLUSIONS: These findings demonstrate the value of participatory methods in eliciting meaningful cultural insight into barriers of mental health utilization informed by military veteran culture. They also reinforce the importance of collaborations between the VA and Department of Defense to address the role of military institutional norms and stigmatizing attitudes in veterans' mental health-seeking behaviors.

Practical application of opt-out recruitment methods in two health services research studies.

BACKGROUND: Participant recruitment is an ongoing challenge in health research. Recruitment may be especially difficult for studies of access to health care because, even among those who are in care, people using services least often also may be hardest to contact and recruit. Opt-out recruitment methods (in which potential participants are given the opportunity to decline further contact about the study (opt out) following an initial mailing, and are then contacted directly if they have not opted out within a specified period) can be used for such studies. However, there is a dearth of literature on the effort needed for effective opt-out recruitment. METHODS: In this paper we describe opt-out recruitment procedures for two studies on access to health care within the U.S. Department of Veterans Affairs. We report resource requirements for recruitment efforts (number of opt-out packets mailed and number of phone calls made). We also compare the characteristics of study participants to potential participants via t-tests, Fisher's exact tests, and chi-squared tests. RESULTS: Recruitment rates for our two studies were 12 and 21%, respectively. Across multiple study sites, we had to send between 4.3 and 9.2 opt-out packets to recruit one participant. The number of phone calls required to arrive at a final status for each potentially eligible Veteran (i.e. study participation or the termination of recruitment efforts) were 2.9 and 6.1 in the two studies, respectively. Study participants differed as expected from the population of potentially eligible Veterans based on planned oversampling of certain subpopulations. The final samples of participants did not differ statistically from those who were mailed opt-out packets, with one exception: in one of our two studies, participants had higher rates of mental health service use in the past year than did those mailed opt-out packets (64 vs. 47%). CONCLUSIONS: Our results emphasize the practicality of using opt-out methods for studies of access to health care. Despite the benefits of these methods, opt-out alone may be insufficient to eliminate non-response bias on key variables. Researchers will need to balance considerations of sample representativeness and feasibility when designing studies investigating access to care.

HIV patient and provider feedback on a telehealth collaborative care for depression intervention.

In the HIV Translating Initiatives for Depression into Effective Solutions project, we conducted a randomized controlled effectiveness and implementation trial comparing depression collaborative care with enhanced usual care in Veterans Health Administration HIV clinics in the US. An offsite HIV depression care team including a psychiatrist, a depression care manager (DCM), and a clinical pharmacist provided collaborative care using a stepped-care model of treatment and made recommendations to providers through the electronic health record system. The DCM delivered care management to HIV patients through phone calls, performing routine assessments and providing counseling in self-management and problem-solving. The DCM documented all calls in each patient's electronic medical record. In this paper we present results from interviews conducted with patients and clinical staff in a multi-stage formative evaluation (FE). We conducted semi-structured FE interviews with 26 HIV patients and 30 clinical staff at the three participating sites during and after the trial period to gather their experiences and perspectives concerning the intervention components. Interviews were transcribed verbatim and analyzed using rapid content analysis techniques. Patients reported high satisfaction with the depression care manager (DCM) phone calls. Both HIV and mental health providers reported that the DCM's chart notes in the electronic health record were very helpful, and most felt that a dedicated DCM for HIV patients is ideal to meet patient needs. Sites encountered barriers to achieving and maintaining universal depression screening, but had greater success when such screening was incorporated into routine intake processes. FE results demonstrated that depression care management via telehealth from an offsite team is acceptable and helpful to both HIV patients and their providers. Given that a centralized offsite depression care team can deliver effective, cost-effective, cost-saving services for multiple HIV clinics in different locations with high patient and provider satisfaction, broad implementation should be considered.