Abstract
Objective
Mental health services for women vary widely across the Veterans Health Administration (VHA) system, without consensus on the need for, or organization of, specialized services for women. Understanding women’s needs and priorities is essential to guide the implementation of patient-centered behavioral health services.
Methods
In a cross-sectional, multisite survey of female veterans using primary care, potential stakeholders were identified for VHA mental health services by assessing perceived or observed need for mental health services. These stakeholders (N=484) ranked priorities for mental health care among a wide range of possible services. The investigators then quantified the importance of having designated women’s mental health services for each of the mental health services that emerged as key priorities.
Results
Treatment for depression, pain management, coping with chronic general medical conditions, sleep problems, weight management, and posttraumatic stress disorder (PTSD) emerged as women’s key priorities. Having mental health services specialized for women was rated as extremely important to substantial proportions of women for each of the six prioritized services. Preference for primary care colocation was strongly associated with higher importance ratings for designated women’s mental health services. For specific types of services, race, ethnicity, sexual orientation, PTSD symptoms, and psychiatric comorbidity were also associated with higher importance ratings for designated women’s services.
Conclusions
Female veterans are a diverse population whose needs and preferences for mental health services vary along demographic and clinical factors. These stakeholder perspectives can help prioritize structural and clinical aspects of designated women’s mental health care in the VHA.
Implementation of patient-centered behavioral health services in primary care is improving the quality of mental health care in the Veterans Health Administration (VHA) (1) and may be especially effective in improving the quality of care for underrepresented populations (2–5). For example, a patient-centered approach helps address the unique mental health needs of women in VHA care, who constitute only 6% of all veteran users in a predominantly male system (6,7) but who are one of the most rapidly growing subpopulations of patients within the VHA (8). Historically, women utilizing VHA services have faced gender disparities in access to and quality of primary care, preventive services, and mental health care (9,10), which led to the implementation of comprehensive primary care for female veterans across the system (11,12). Mental health services for women still vary across the VHA, without consensus on the need for, or organization of, services specialized for women (13). Over half of VHA facilities have some type of designated women’s mental health services or settings, such as specialized women’s primary care and behavioral health teams, specialty women’s mental health clinics, or designated providers for women in specialty mental health settings (14). In efforts to continue to improve services to female veterans, obtaining data concerning women’s needs and priorities is essential to guide the implementation of patient-centered behavioral health services.
Behavioral health care is especially important to the care of women in the VHA. Compared with male veterans, female veterans are more likely to suffer from a mental health condition as well as comorbid chronic general medical conditions (15). When screened by their VHA providers, nearly one-quarter of women reported sexual trauma during military service, which is associated with increased risk of a range of general health and mental health conditions (16,17). Military experiences, comorbid health conditions, or demographic characteristics may influence women’s perspectives on health care, including preferences for mental health services and settings that are specifically designated for women. Knowledge of priorities and treatment needs of veteran patients who are women is important to guide patient-centered implementation of mental health services designated for women.
This study used the VA Women’s Health Practice-Based Research Network (WH-PBRN) (18) to identify a subset of female veteran primary care users who are potential stakeholders for mental health services and to quantify their priorities for mental health services. In a cross-sectional survey, we identified these female veteran stakeholders from a VHA primary care population by assessing perceived or observed need for mental health services. These women ranked priorities for mental health care among a wide range of possible services. We then quantified the importance of designated women’s services specific to each of the mental health services that emerged as key priorities. Given that female veterans are a diverse population whose needs and preferences vary, we examined the associations of demographic and clinical factors with the importance of having services designated for women. In an effort to further inform the implementation of women’s mental health services, we also examined associations with relevant treatment preferences, including preferences for colocation of mental health services in primary care and the acceptability of tele–mental health modalities for obtaining specialized mental health services for women. Taken together, these stakeholder perspectives can help in prioritizing the structural and clinical aspects of designated women’s mental health care in the VHA.
METHODS
This study was a multisite cross-sectional survey of 515 female veterans using VHA primary care services. The project served as an Implementation Evaluation Project to demonstrate the feasibility of conducting multisite research through the WH-PBRN (18). Data were collected at four diverse PBRN sites (Palo Alto and Los Angeles, California; Iowa City, Iowa; and Durham, North Carolina) between April and November 2012. This study was approved by the U.S. Department of Veterans Affairs (VA) Central Institutional Review Board.
Recruitment and Sample
Potentially eligible women were identified from VA administrative data available in the National Patient Care Database (NPCD) (19). Selection criteria included the following characteristics: age ≥18, veteran status, two or more VA primary care visits in fiscal year (FY) 2011 at one of the four WH-PBRN sites, and no active diagnosis of dementia or psychosis in FY 2011. Women who met these criteria (N=3,129) were mailed a brief study description informing them of possible contact along with a prepaid opt-out letter, and they were recruited sequentially over eight months at primary care visits. Recruitment was stratified on median past-year primary care utilization (four visits) to limit bias toward high utilizers. Exclusion criteria were limited to marked inability to participate because of severe illness or impairment (such as acute suicidal ideation or alterations in consciousness) at the time of the medical visit. Participants provided verbal informed consent to trained, female WH-PBRN staff in a private office. On study completion, participants were given a beverage mug imprinted with the WH-PBRN logo as a thank you gift.
Of the 687 eligible women who were contacted for recruitment, 75% (N=515) participated in the study. Compared with nonparticipants, participants were more likely to be white (70% versus 54%, χ2=33.3, df=2, p,.001) but did not differ in age, the presence of a past-year mental diagnosis, or having had a past-year mental health visit.
Measures
Mental health utilization and diagnoses were abstracted from utilization records in the NPCD (19). Axis I mental conditions were categorized from ICD-9 codes according to prior research that used the Agency for Healthcare Research and Quality Clinical Classifications Software framework (20), with diagnoses recorded at two or more past-year encounters (21). Comorbid mental illness was defined as mental diagnoses in two or more categories.
Participants completed a brief survey with WH-PBRN staff that assessed demographic and military service characteristics and mental health need. Perceived mental health need was defined according to prior research (22) with an item that queried whether a woman had “wanted (or needed) help with personal or family problems from a mental health professional, such as a psychologist, psychiatrist, counselor, social worker, or therapist” in the past year. Observed need was defined as a positive response to one or more of the mental health screens and survey items regarding psychological distress described next.
Sleep quality was measured with item 6 of the Pittsburgh Sleep Quality Index (PSQI) (23): “During the past month, how would you rate your sleep quality overall?” Poor sleep quality was defined as ratings of “fairly bad” or “very bad.” Pain was coded positively if the two items of the bodily pain subscale of the 36-Item Short Form (pain in the past month and pain interference with work) (24) were rated as moderately or greater. Smoking frequency was assessed with the Fagerström Test for Nicotine Dependence (25). Smokers reporting any interest in quitting or reducing smoking were considered to have potential need for treatment. Alcohol misuse was screened with the Alcohol Use Disorders Identification Test (26), where a score ≥3 indicates hazardous drinking. Scores ≥2 on the Diagnostic Interview Schedule–Drug Disorder Screener (27) were used to identify potential drug misuse. The Patient Health Questionnaire eating disorder module (PHQ-ED) (28) was used to identify bulimia nervosa symptoms (binge eating and purging behaviors twice per week for three months) and binge eating disorder symptoms (item on binge eating without purging behaviors). Items 3a (anxiety attack) and 5a (anxiety and worry) of the PHQ (29) were used to screen for panic and generalized anxiety disorder. Depression was identified as a score ≥3 on the two-item depression screen of the PHQ (PHQ-2) (30). Posttraumatic stress disorder (PTSD) screening used a cut-off score of 3 on the Primary Care PTSD screen (31). Any positive item on the HARK (Humiliation, Afraid, Rape, Kick [32]) screen was used to identify intimate partner violence. Military sexual trauma was indicated if scores were greater than 7 on the MST subscale of the Deployment Risk and Resilience Inventory (33). Satisfaction with sexual functioning was evaluated with item 5 from the Female Sexual Function Index (17), “How satisfied have you been with your overall sexual life?” A score of 2, “moderately dissatisfied,” or 1, “very dissatisfied,” indicated potential need.
Relationship distress, parenting distress, and caregiver distress were globally assessed with a 5-point Likert scale. Each item queried, “In the past month, how much have you felt overwhelmed or upset by …?” Responses to any of these items that were rated 3, “about half the time,” or greater were coded as a potential need for services.
After completion of the survey, participants engaged in a modified card-sorting activity facilitated by the interviewer. Participants were given 15 cards describing a wide range of mental health services. Each card named a specific type of mental health service on one side, and the other side provided a brief description of the symptoms addressed by that service and common interventions provided in that service context. Text on the cards was developed from standard VHA patient education materials and revised with a modified Delphi process with input from primary care and mental health providers who had expertise in care for female veterans.
The services described were for treatment of depression, PTSD, military sexual trauma, eating disorders, smoking cessation, intimate partner violence, parenting support, family therapy, couples counseling, sexual functioning and intimacy, substance misuse, weight management, coping with chronic general medical conditions, physical pain, and sleep problems. Participants ranked up to five current treatment priorities. For each service selected as a priority, participants responded to questions about current and past-year utilization and rated the importance of several characteristics using a 5-point Likert scale, such as services designated for women (“a setting specifically for women”), primary care colocation (“in the clinic where you receive your primary care, as opposed to a specialized mental health clinic”), and willingness to receive tele–mental health services in order to obtain specialized women’s services.
Data Analysis
Stata, version 10 (34), was used for statistical analyses. Frequency distributions were calculated for priority ratings for mental health services and for importance ratings for service characteristics. Odds of higher importance ratings (rated from 1 to 5, with 5 indicating most important) for designated women’s services were modeled with ordered logit regression models as a function of demographic factors; deployment in Operations Enduring Freedom, Iraqi Freedom, or New Dawn (OEF/OIF/OND); clinical characteristics, on the basis of screens for military sexual trauma, PTSD, depression and alcohol misuse; and other importance ratings (35). Acceptability of tele–mental health services and importance of primary care colocation were dichotomized as covariates. Models were also calculated with a random coefficient to account for site clustering, but results were identical to the logit regressions and are not presented here.
RESULTS
A total of 515 women completed the survey. A large majority (94%) of the sample met this definition, and all subsequent analyses were focused on this stakeholder group (N=484). Table 1 describes their demographic and service characteristics. In this population, stakeholders for VHA mental health services were defined as female primary care users with a perceived or observed need for mental health services.
TABLE 1.
Variable | N | % |
---|---|---|
Age group | ||
18–44 | 135 | 28 |
45–64 | 295 | 61 |
≥65 | 54 | 12 |
Racea | ||
Caucasian | 308 | 64 |
African American | 114 | 24 |
Asian or other | 59 | 12 |
Hispanic ethnicitya | 49 | 10 |
Education | ||
Grade 12 or GED | 38 | 8 |
College 1–3 years | 267 | 55 |
College ≥4 years | 108 | 22 |
Graduate or professional school | 71 | 15 |
Marital statusa | ||
Married or unmarried couple | 186 | 38 |
Divorced, separated, or widowed | 211 | 44 |
Never married | 86 | 18 |
Sexual orientationa | ||
Heterosexual | 458 | 89 |
LGB/not sureb | 51 | 11 |
Children in the home | 103 | 21 |
Employmenta | ||
Employed | 187 | 39 |
Unemployed | 47 | 8 |
Out of labor force | 120 | 25 |
Disabled | 127 | 26 |
Military brancha | ||
Army | 233 | 48 |
Navy | 105 | 22 |
Air Force | 94 | 19 |
Marines | 30 | 6 |
Coast Guard, National Guard | 16 | 3 |
Service era | ||
Pre-Vietnam war | 35 | 7 |
Vietnam war | 124 | 26 |
Post-Vietnam war | 221 | 46 |
Persian Gulf war | 238 | 49 |
OEF/OIF/OND servicec | 86 | 18 |
Past-year psychiatric diagnosis | ||
No | 202 | 42 |
1 diagnosis | 120 | 25 |
>1 diagnosis (comorbidity) | 162 | 33 |
Past-year mental health visit | 259 | 54 |
Three participants were missing data for race, 4 missing for ethnicity, 1 missing for marital status, 5 missing for sexual orientation, 3 missing for employment, and 1 missing for military branch.
LGB, lesbian, gay, or bisexual
Service in Operation Enduring Freedom, Operation Iraqi Freedom, or Operation New Dawn
Almost all female veteran stakeholders (98%, N=476) prioritized at least one of the 15 mental health services as important, and the modal number of services identified as important was five, at 81% (N=394) of stakeholders. Figure 1 illustrates the number of women who prioritized each of the 15 services. Six services were ranked most frequently and emerged as priorities: depression, pain management, coping with chronic medical conditions, sleep disturbance, weight management, and PTSD. A majority of the veteran stakeholders (98%, N=473) selected at least one of these six services as important, and 80% (N=386) selected at least three of the six services as important. A majority of women who prioritized each of these six services reported that they either had used this type of service in the past year or were quite a bit or extremely likely to use this type of service within the next six months (ranging from 62% [N=155] for weight management to 96% [N=258] for coping with chronic medical conditions).
Figure 2 displays women’s importance ratings for designated women’s services for the six most prioritized mental health services. Importance ratings for each service were bimodally distributed, where substantial proportions of importance ratings for designated women’s services were either “not at all” important or “extremely” important. Services for PTSD, depression, and coping with chronic medical conditions were most likely to be rated as extremely important, and services for pain, sleep, and weight management were most frequently rated as not at all important.
Predictors of ratings of higher importance for each of the six mental health services are shown in Table 2. For all of these services, preference for primary care colocation was strongly associated with higher importance ratings for designated women’s services, with adjusted odds of higher importance ratings ranging from 4.80 to 6.40. For treatment of depression, pain management, sleep problems, and PTSD, black women reported higher importance ratings for designated women’s services. For sleep problems, minority race and Hispanic ethnicity were associated with higher importance ratings for designated women’s services. For pain management and traumatic stress, lesbian or bisexual sexual orientation was associated with higher importance ratings for women’s services. For all services except pain management and weight management, PTSD symptoms were significantly associated with higher importance ratings for designated women’s services. For traumatic stress treatment, military sexual trauma was associated with higher importance ratings for women’s services, where OEF/OIF/OND deployment was associated lower importance ratings. Finally, for pain management and traumatic stress treatment, psychiatric comorbidity was associated with assigning significantly higher importance to having designated women’s services.
TABLE 2.
Depression care (N=298) |
Pain management (N=296) |
Coping with chronic medical conditions (N=271) |
Sleep (N=252) |
Weight management (N=249) |
Traumatic stress or PTSD (N=239) |
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Characteristic | AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | AOR | 95% CI | AOR | 95% CI |
Black (reference: white) | 2.64 | 1.50–4.62 | 2.09 | 1.23–3.57 | 1.09 | .62–1.90 | 2.33 | 1.30–4.20 | 1.16 | .62–2.16 | 2.28 | 1.17–4.47 |
Asian or other (reference: white) | .86 | .37–1.99 | 1.18 | .51–2.77 | 1.37 | .59–3.19 | 4.17 | 1.67–10.44 | 1.16 | .51–2.68 | 1.32 | .60–2.90 |
Hispanic ethnicity (reference: not Hispanic) | .48 | .20–1.11 | .59 | .22–1.57 | 1.09 | .41–2.87 | 4.04 | 1.33–12.34 | 1.19 | .51–2.80 | 1.39 | .61–3.17 |
Lesbian, gay, or bisexual (reference: heterosexual) | 1.81 | .92–3.55 | 2.41 | 1.12–5.17 | 1.29 | .60–2.76 | 1.39 | .67–2.90 | 1.67 | .75–3.70 | 3.00 | 1.33–6.77 |
Age 45–64 (reference: 18–44) | .94 | .54–1.62 | 1.41 | .80–2.46 | .96 | .54–1.70 | 2.43 | 1.27–4.64 | 2.39 | 1.21–4.73 | 1.10 | .60–2.02 |
Age ≥65 (reference: 18–44) | .52 | .22–1.23 | 1.48 | .63–3.48 | .81 | .34–1.88 | 1.29 | .48–3.50 | 1.09 | .43–2.79 | .81 | .28–2.35 |
Tele–mental health acceptable (reference: no) | 1.11 | .69–1.79 | 1.49 | .92–2.40 | .91 | .56–1.48 | 1.15 | .66–2.01 | .66 | .37–1.17 | 1.18 | .69–1.99 |
Primary care colocation important (reference: no) | 5.08 | 3.19–8.10 | 5.16 | 3.21–8.31 | 6.40 | 3.75–10.92 | 4.80 | 2.84–8.11 | 5.28 | 3.15–8.85 | 4.94 | 2.83–8.63 |
Positive PTSD screen (reference: no) | 1.90 | 1.17–3.09 | 1.37 | .82–2.31 | 1.88 | 1.06–3.34 | 2.64 | 1.49–4.67 | 1.06 | .60–1.89 | — | — |
Military sexual trauma (reference: no) | 1.13 | .69–1.85 | .88 | .53–1.46 | .95 | .57–1.56 | 1.18 | .69–2.03 | 1.11 | .66–1.87 | 1.99 | 1.14–3.49 |
OEF/OIF/OND deployment (reference: no)b | .67 | .36–1.22 | .69 | .35–1.37 | 1.00 | .51–1.96 | .84 | .40–1.74 | .73 | .34–1.55 | .51 | .27–.98 |
Any mental disorder (reference: no diagnosis) | 1.20 | .67–2.14 | 1.62 | .94–2.81 | 1.39 | .77–2.51 | .66 | .35–1.23 | .88 | .49–1.58 | 1.70 | .87–3.30 |
Psychiatric comorbidity (reference: no diagnosis) | 1.25 | .71–2.21 | 2.06 | 1.13–3.76 | 1.21 | .66–2.25 | 1.10 | .58–2.09 | 1.38 | .75–2.54 | 2.18 | 1.17–4.06 |
All other variables in the model were used in adjusted odds ratios (AORs). AORs with 95% confidence intervals that do not include 1 are statistically significant at p<.05. Odds ratios for alcohol misuse and depression screens were not associated with importance ratings among any services and are not shown.
Deployment in Operation Enduring Freedom, Operation Iraqi Freedom, or Operation New Dawn.
DISCUSSION
Female veteran stakeholders for VHA mental health services expressed distinct priorities for mental health services designated specifically for women. Mental health services for women would most broadly address population needs by focusing on depression, pain management, coping with chronic general medical conditions, sleep disturbance, weight management, and PTSD. Although designated women’s services were most often cited as not at all important for pain management, sleep problems, and weight management, designated women’s mental health services even among these services were rated as extremely important to substantial proportions of women. These data suggest that many women can be treated in gender-integrated mental health settings, but when gender-specialized services are preferred, these preferences are likely to be strong.
Nearly one-third of primary care users in the study were diagnosed as having a comorbid psychiatric disorder, and a large majority of the female veteran stakeholder sample identified multiple mental health treatment priorities. More research is particularly needed that addresses gender-related issues in the treatment of pain and coping with chronic medical conditions. Preferences for and availability of designated women’s services may be important aspects of shared decisions between veteran and provider in the process of addressing competing mental health treatment priorities for these women.
Our data provide some preliminary guidance for these decisions. Strong preferences for primary care colocation of mental health services was the most consistent and robust correlate of preferences for designated women’s mental health services. These results suggest that women’s primary care clinics, which are available at many VHA facilities, are a strategic setting to enhance implementation of women’s mental health services through integration of primary care and mental health care (36). These data are also consistent with prior research that has found that designated women’s primary care services are associated with greater satisfaction among female veterans (37,38), as well as higher ratings of patient centeredness, such as patient-provider communication, provider’s interest in mental health, provider’s expertise with women, and shared decision making (39). Future research should examine whether meeting these preferences is similarly associated with greater engagement and satisfaction with mental health services.
Minority race and sexual orientation were associated with assigning greater importance to having designated women’s services. Veterans who are underrepresented in gender, race, or sexual orientation in the health care system may differ from the majority in beliefs about belongingness, stigma, or therapist-client match (40,41) and may perceive that specialized services will better address unique health care needs. Collaborative care approaches that specifically target patient culture, needs, and preferences for health services have been shown to reduce racial disparities in mental health care (42). More research is needed to assess whether addressing other demographic and cultural factors, such as gender, could similarly improve treatment engagement or outcomes.
PTSD treatment bears further consideration for provision of women’s services. A positive PTSD screen was associated with greater importance of designated women’s services among the stakeholders seeking services for coping with depression, chronic medical problems, and sleep disturbance. Designated women’s services may benefit from incorporating trauma-informed care for these conditions. For PTSD treatment, the value of women-designated services may depend on the source of the trauma. Military sexual trauma was associated with an increased importance, and OEF/OIF/OND deployment with decreased importance, of designated women’s services. These results are consistent with anecdotal data across the system suggesting that women have strong preferences for designated women’s services for PTSD from military sexual trauma. On the other hand, women are increasingly returning from recent deployments with combat-related PTSD, and they may feel more comfortable in mixed-gender treatment settings to be among more veterans with similar combat exposure experiences than would be available with women’s-only services.
This study should be considered in light of several important limitations. The initial four PBRN sites used for this study included only four VA facilities with strong women-specific services. Prior positive experiences could have influenced importance ratings. Although these facilities were diverse in size and rurality, national studies are needed to fully represent geographic variation in preferences. In addition, this study focused on only the most frequently prioritized services. Less common gender-related clinical issues, such as intimate partner violence or eating disorders, may be associated with particularly strong preferences for women-specific services.
CONCLUSIONS
This study provides a first description of female veterans’ priorities and preferences for mental health care. Designated women’s mental health services are not preferred by all female VHA users but may be especially important for specific subpopulations or conditions. Ideally, the importance of designated women’s services is an issue discussed collaboratively between patient and provider as part of care coordination and management of mental diagnoses. Results also highlight the importance of primary care–mental health integration addressing depression and PTSD in women’s primary care clinics. This study used a PBRN to engage female veteran stakeholders in research that will inform implementation of mental health services. Continued focus on stakeholder engagement and patient-centered evolution of women’s mental health services will serve the VA’s mission to promote access to care and patient satisfaction among female veterans.
Acknowledgments
This study was funded by VA HSR&D grant SDR 10-012 (Women’s Health Research Network). The authors thank Joanne Pavao, M.P.H., Deborah Nazarian, Ph.D., Shannan Sonnicksen, L.C.S.W., M.P.H., Caitlin McLean, M.S., and Julia Lin, Ph.D., of the VA Palo Alto Health Care System; Jill Blakeney, R.N., of Durham VA Medical Center; Ruth Klap, Ph.D., and Julia Yosef, M.S., R.N., of VA Greater Los Angeles Healthcare System; and Brittany D. Martin, M.A., M.Litt., and Holly J. Erschens, B.A., of Iowa City VA Health Care System. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the VA or the U.S. government.
Footnotes
Portions of this article were presented at the annual research meeting of the Academy Health, Baltimore, June 23–25, 2013.
The authors report no financial relationships with commercial interests.
REFERENCES
- 1.Post EP, Metzger M, Dumas P, et al. Integrating mental health into primary care within the Veterans Health Administration. Families, Systems and Health. 2010;28:83–90. doi: 10.1037/a0020130. [DOI] [PubMed] [Google Scholar]
- 2.Interian A, Lewis-Fernández R, Dixon LB. Improving treatment engagement of underserved US racial-ethnic groups: a review of recent interventions. Psychiatric Services. 2013;64:212–222. doi: 10.1176/appi.ps.201100136. [DOI] [PubMed] [Google Scholar]
- 3.Cooper LA, Ghods Dinoso BK, Ford DE, et al. Comparative effectiveness of standard versus patient-centered collaborative care interventions for depression among African Americans in primary care settings: the BRIDGE Study. Health Services Research. 2013;48:150–174. doi: 10.1111/j.1475-6773.2012.01435.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Davis TD, Deen T, Bryant-Bedell K, et al. Does minority racial-ethnic status moderate outcomes of collaborative care for depression? Psychiatric Services. 2011;62:1282–1288. doi: 10.1176/ps.62.11.pss6211_1282. [DOI] [PubMed] [Google Scholar]
- 5.Bohnert KM, Pfeiffer PN, Szymanski BR, et al. Continuation of care following an initial primary care visit with a mental health diagnosis: differences by receipt of VHA Primary Care–Mental Health Integration services. General Hospital Psychiatry. 2013;35:66–70. doi: 10.1016/j.genhosppsych.2012.09.002. [DOI] [PubMed] [Google Scholar]
- 6.Atkins D. Health services research on women veterans: a critical partner on the road to patient-centered care. Journal of General Internal Medicine. 2013;28(suppl 2):S498–S499. doi: 10.1007/s11606-013-2472-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Frayne SM, Phibbs CS, Friedman SA, et al. Sociodemographic Characteristics and Use of VHA Care. Washington DC: Department of Veterans Affairs, Women’s Health Evaluation Initiative; 2010. [Google Scholar]
- 8.Nayar P, Yu F, Apenteng B. Improving care for rural veterans: are high dual users different? Journal of Rural Health. 2014;30:139–145. doi: 10.1111/jrh.12038. [DOI] [PubMed] [Google Scholar]
- 9.Report of the Undersecretary for Health Workgroup on Provision of Primary Care to Women Veterans. Washington DC: Department of Veterans Affairs; 2008. [Google Scholar]
- 10.VA Health Care for Women. Despite Progress, Improvements Needed. Washington DC: US General Accounting Office; 1992. [Google Scholar]
- 11.Kimerling R, Haskell S, Maguen S, et al. In: VA health care in response to a new generation of female veterans; in Military Medical Care: From Predeployment to Post-Separation. Amara J, Hendricks A, editors. Abingdon: United Kingdom, Routledge; 2013. [Google Scholar]
- 12.Hayes PM. Improving health of veterans through research collaborations. Journal of General Internal Medicine. 2013;28(suppl 2):S495–S497. doi: 10.1007/s11606-013-2471-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.MacGregor C, Hamilton AB, Oishi SM, et al. Description, development, and philosophies of mental health service delivery for female veterans in the VA: a qualitative study. Women’s Health Issues. 2011;21(suppl):S138–S144. doi: 10.1016/j.whi.2011.04.006. [DOI] [PubMed] [Google Scholar]
- 14.Oishi SM, Rose DE, Washington DL, et al. National variations in VA mental health care for women veterans. Women’s Health Issues. 2011;21(suppl):S130–S137. doi: 10.1016/j.whi.2011.04.029. [DOI] [PubMed] [Google Scholar]
- 15.Frayne SM, Phibbs CS, Friedman SA, et al. Sociodemographic Characteristics and Use of VHA Care and Non-VA Care (Fee) Washington DC: Department of Veterans Affairs, Women Veterans Health Strategic Health Care Group; 2013. [Google Scholar]
- 16.Military Sexual Trauma Support Team. Summary of Military Sexual Trauma–Related Outpatient Care, Fiscal Year 2012. Washington DC: Department of Veterans Affairs, Patient Care Services, Office of Mental Health Services; 2013. [Google Scholar]
- 17.Isidori AM, Pozza C, Esposito K, et al. Development and validation of a 6-item version of the Female Sexual Function Index (FSFI) as a diagnostic tool for female sexual dysfunction. Journal of Sexual Medicine. 2010;7:1139–1146. doi: 10.1111/j.1743-6109.2009.01635.x. [DOI] [PubMed] [Google Scholar]
- 18.Frayne SM, Carney DV, Bastian L, et al. The VA Women’s Health Practice-Based Research Network: amplifying women veterans’ voices in VA research. Journal of General Internal Medicine. 2013;28(suppl 2):S504–S509. doi: 10.1007/s11606-013-2476-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Hines Ill., editor. VHA Medical SAS Outpatient Datasets and Inpatient Encounters Dataset FY2009. VIReC Research User Guide, April. US Department of Veterans Affairs, Health Services Research and Development Service, VA Information Resource Center; 2011. [Google Scholar]
- 20.Washington DL, Bean-Mayberry B, Riopelle D, et al. Access to care for women veterans: delayed healthcare and unmet need. Journal of General Internal Medicine. 2011;26(suppl 2):655–661. doi: 10.1007/s11606-011-1772-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Frayne SM, Miller DR, Sharkansky EJ, et al. Using administrative data to identify mental illness: what approach is best? American Journal of Medical Quality. 2010;25:42–50. doi: 10.1177/1062860609346347. [DOI] [PubMed] [Google Scholar]
- 22.Kimerling R, Baumrind N. Access to specialty mental health services among women in California. Psychiatric Services. 2005;56:729–734. doi: 10.1176/appi.ps.56.6.729. [DOI] [PubMed] [Google Scholar]
- 23.Buysse DJ, Reynolds CF, III, Monk TH, et al. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Research. 1989;28:193–213. doi: 10.1016/0165-1781(89)90047-4. [DOI] [PubMed] [Google Scholar]
- 24.McHorney CA, Ware JE, Jr, Raczek AE. The MOS 36-Item Short-Form Health Survey (SF-36): II. psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care. 1993;31:247–263. doi: 10.1097/00005650-199303000-00006. [DOI] [PubMed] [Google Scholar]
- 25.Heatherton TF, Kozlowski LT, Frecker RC, et al. The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire. British Journal of Addiction. 1991;86:1119–1127. doi: 10.1111/j.1360-0443.1991.tb01879.x. [DOI] [PubMed] [Google Scholar]
- 26.Bradley KA, Bush KR, Epler AJ, et al. Two brief alcohol-screening tests from the Alcohol Use Disorders Identification Test (AUDIT): validation in a female Veterans Affairs patient population. Archives of Internal Medicine. 2003;163:821–829. doi: 10.1001/archinte.163.7.821. [DOI] [PubMed] [Google Scholar]
- 27.Rost K, Burnam MA, Smith GR. Development of screeners for depressive disorders and substance disorder history. Medical Care. 1993;31:189–200. doi: 10.1097/00005650-199303000-00001. [DOI] [PubMed] [Google Scholar]
- 28.Striegel-Moore RH, Perrin N, DeBar L, et al. Screening for binge eating disorders using the Patient Health Questionnaire in a community sample. International Journal of Eating Disorders. 2010;43:337–343. doi: 10.1002/eat.20694. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Spitzer RL, Kroenke K, Williams JB. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. Patient Health Questionnaire. JAMA. 1999;282:1737–1744. doi: 10.1001/jama.282.18.1737. [DOI] [PubMed] [Google Scholar]
- 30.Kroenke K, Spitzer RL, Williams JB. The Patient Health Questionnaire–2: validity of a two-item depression screener. Medical Care. 2003;41:1284–1292. doi: 10.1097/01.MLR.0000093487.78664.3C. [DOI] [PubMed] [Google Scholar]
- 31.Prins A, Ouimette P, Kimerling R, et al. The Primary Care PTSD Screen (PC-PTSD): development and operating characteristics. Primary Care Psychiatry. 2003;9:9–14. [Google Scholar]
- 32.Sohal H, Eldridge S, Feder G. The sensitivity and specificity of four questions (HARK) to identify intimate partner violence: a diagnostic accuracy study in general practice. BMC Family Practice. 2007;8:49. doi: 10.1186/1471-2296-8-49. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.King DW, King LA, Vogt DS. Manual for the Deployment Risk and Resilience Inventory (DRRI): A Collection of Measures for Studying Deployment-Related Experiences of Military Veterans. Boston: National Center for PTSD; 2003. [Google Scholar]
- 34.Stata Statistical Software: Release 10. College Station Tex: Stata Corp LP; 2007. [Google Scholar]
- 35.Agresti A. Categorical Data Analysis. 2nd. Hoboken NJ: Wiley Interscience; 2002. [Google Scholar]
- 36.Zeiss AM, Karlin BE. Integrating mental health and primary care services in the Department of Veterans Affairs health care system. Journal of Clinical Psychology in Medical Settings. 2008;15:73–78. doi: 10.1007/s10880-008-9100-4. [DOI] [PubMed] [Google Scholar]
- 37.Washington DL, Bean-Mayberry B, Mitchell MN, et al. Tailoring VA primary care to women veterans: association with patient-rated quality and satisfaction. Women’s Health Issues. 2011;21(suppl):S112–S119. doi: 10.1016/j.whi.2011.04.004. [DOI] [PubMed] [Google Scholar]
- 38.Bean-Mayberry BA, Chang C-C, McNeil MA, et al. Ensuring high-quality primary care for women: predictors of success. Women’s Health Issues. 2006;16:22–29. doi: 10.1016/j.whi.2005.12.002. [DOI] [PubMed] [Google Scholar]
- 39.Bean-Mayberry BA, Chang C-CH, McNeil MA, et al. Patient satisfaction in women’s clinics versus traditional primary care clinics in the Veterans Administration. Journal of General Internal Medicine. 2003;18:175–181. doi: 10.1046/j.1525-1497.2003.20512.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Vogt D. Mental health–related beliefs as a barrier to service use for military personnel and veterans: a review. Psychiatric Services. 2011;62:135–142. doi: 10.1176/ps.62.2.pss6202_0135. [DOI] [PubMed] [Google Scholar]
- 41.Ward EC. Examining differential treatment effects for depression in racial and ethnic minority women: a qualitative systematic review. Journal of the National Medical Association. 2007;99:265–274. [PMC free article] [PubMed] [Google Scholar]
- 42.Dwight-Johnson M, Lagomasino IT, Hay J, et al. Effectiveness of collaborative care in addressing depression treatment preferences among low-income Latinos. Psychiatric Services. 2010;61:1112–1118. doi: 10.1176/ps.2010.61.11.1112. [DOI] [PubMed] [Google Scholar]