Quality of Depression Care for Veterans Affairs Primary Care Patients with Experiences of Homelessness.

BACKGROUND: Persons who experience homelessness (PEH) have high rates of depression and incur challenges accessing high-quality health care. Some Veterans Affairs (VA) facilities offer homeless-tailored primary care clinics, although such tailoring is not required, within or outside VA. Whether services tailoring enhances care for depression is unstudied. OBJECTIVE: To determine whether PEH in homeless-tailored primary care settings receive higher quality of depression care, compared to PEH in usual VA primary care. DESIGN: Retrospective cohort study of depression treatment among a regional cohort of VA primary care patients (2016-2019). PARTICIPANTS: PEH diagnosed or treated for a depressive disorder. MAIN MEASURES: The quality measures were timely follow-up care (3 + completed visits with a primary care or mental health specialist provider, or 3 + psychotherapy sessions) within 84 days of a positive PHQ-2 screen result, timely follow-up care within 180 days, and minimally appropriate treatment (4 + mental health visits, 3 + psychotherapy visits, 60 + days antidepressant) within 365 days. We applied multivariable mixed-effect logistic regressions to model differences in care quality for PEH in homeless-tailored versus usual primary care settings. KEY RESULTS: Thirteen percent of PEH with depressive disorders received homeless-tailored primary care (n = 374), compared to usual VA primary care (n = 2469). Tailored clinics served more PEH who were Black, who were non-married, and who had low income, serious mental illness, and substance use disorders. Among all PEH, 48% received timely follow-up care within 84 days of depression screening, 67% within 180 days, and 83% received minimally appropriate treatment. Quality metric attainment was higher for PEH in homeless-tailored clinics, compared to PEH in usual VA primary care: follow-up within 84 days (63% versus 46%; adjusted odds ratio [AOR] = 1.61, p = .001), follow-up within 180 days (78% versus 66%; AOR = 1.51, p = .003), and minimally appropriate treatment (89% versus 82%; AOR = 1.58, p = .004). CONCLUSIONS: Homeless-tailored primary care approaches may improve depression care for PEH.

Associations Between Primary Care Providers and Staff-Reported Access Management Challenges and Patient Perceptions of Access.

BACKGROUND/OBJECTIVE: Optimizing patients' access to primary care is critically important but challenging. In a national survey, we asked primary care providers and staff to rate specific care processes as access management challenges and assessed whether clinics with more of these challenges had worse access outcomes. METHODS: Study design: Cross sectional. National Primary Care Personnel Survey (NPCPS) (2018) participants included 6210 primary care providers (PCPs) and staff in 813 clinics (19% response rate) and 158,645 of their patients. We linked PCP and staff ratings of access management challenges to veterans' perceived access from 2018-2019 Survey of Healthcare Experiences of Patients-Patient Centered Medical Home (SHEP-PCMH) surveys (35.6% response rate). MAIN MEASURES: The NPCPS queried PCPs and staff about access management challenges. The mean overall access challenge score was 28.6, SD 6.0. The SHEP-PCMH access composite asked how often veterans reported always obtaining urgent appointments same/next day; routine appointments when desired and having medical questions answered during office hours. ANALYTIC APPROACH: We aggregated PCP and staff responses to clinic level, and use multi-level, multivariate logistic regressions to assess associations between clinic-level access management challenges and patient perceptions of access. We controlled for veteran-, facility-, and area-level characteristics. KEY RESULTS: Veterans at clinics with more access management challenges (> 75th percentile) had a lower likelihood of reporting always receiving timely urgent care appointments (AOR: .86, 95% CI: .78-.95); always receiving routine appointments (AOR: .74, 95% CI: .67-.82); and always reporting same- or next-day answers to telephone questions (AOR: .79, 95% CI: .70-.90) compared to veterans receiving care at clinics with fewer (< 25th percentile) challenges. DISCUSSION/CONCLUSION: Findings show a strong relationship between higher levels of access management challenges and worse patient perceptions of access. Addressing access management challenges, particularly those associated with call center communication, may be an actionable path for improved patient experience.

Burnout, employee engagement, and changing organizational contexts in VA primary care during the early COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic involved a rapid change to the working conditions of all healthcare workers (HCW), including those in primary care. Organizational responses to the pandemic, including a shift to virtual care, changes in staffing, and reassignments to testing-related work, may have shifted more burden to these HCWs, increasing their burnout and turnover intent, despite their engagement to their organization. Our objectives were (1) to examine changes in burnout and intent to leave rates in VA primary care from 2017-2020 (before and during the pandemic), and (2) to analyze how individual protective factors and organizational context affected burnout and turnover intent among VA primary care HCWs during the early months of the pandemic. METHODS: We analyzed individual- and healthcare system-level data from 19,894 primary care HCWs in 139 healthcare systems in 2020. We modeled potential relationships between individual-level burnout and turnover intent as outcomes, and individual-level employee engagement, perceptions of workload, leadership, and workgroups. At healthcare system-level, we assessed prior-year levels of burnout and turnover intent, COVID-19 burden (number of tests and deaths), and the extent of virtual care use as potential determinants. We conducted multivariable analyses using logistic regression with standard errors clustered by healthcare system controlled for individual-level demographics and healthcare system complexity. RESULTS: In 2020, 37% of primary care HCWs reported burnout, and 31% reported turnover intent. Highly engaged employees were less burned out (OR = 0.57; 95% CI 0.52-0.63) and had lower turnover intent (OR = 0.62; 95% CI 0.57-0.68). Pre-pandemic healthcare system-level burnout was a major predictor of individual-level pandemic burnout (p = 0.014). Perceptions of reasonable workload, trustworthy leadership, and strong workgroups were also related to lower burnout and turnover intent (p < 0.05 for all). COVID-19 burden, virtual care use, and prior year turnover were not associated with either outcome. CONCLUSIONS: Employee engagement was associated with a lower likelihood of primary care HCW burnout and turnover intent during the pandemic, suggesting it may have a protective effect during stressful times. COVID-19 burden and virtual care use were not related to either outcome. Future research should focus on understanding the relationship between engagement and burnout and improving well-being in primary care.

Differences in Burnout and Intent to Leave Between Women's Health and General Primary Care Providers in the Veterans Health Administration.

BACKGROUND: Although they are a minority of patients served by the Veterans Health Administration (VHA), women Veterans comprise a fast-growing segment of these patients and have unique clinical needs. Women's health primary care providers (WH-PCPs) are specially trained and designated to provide care for women Veterans. Prior work has demonstrated that WH-PCPs deliver better preventative care and have more satisfied patients than PCPs without the WH designation. However, due to unique clinical demands or other factors, WH-PCPs may experience more burnout and intent to leave practice than general PCPs in the VHA. OBJECTIVE: To examine differences in burnout and intent to leave practice among WH and general PCPs in the VHA. DESIGN: Multi-level logistic regression analysis of three cross-sectional waves of PCPs within the VHA using the national All Employee Survey and practice data (2017-2019). We modeled outcomes of burnout and intent to leave practice as a function of WH provider designation, gender, and other demographics and practice characteristics, such as support staff ratio, panel size, and setting. PARTICIPANTS: A total of 7903 primary care providers (5152 general PCPs and 2751 WH-PCPs; response rates: 63.9%, 65.7%, and 67.5% in 2017, 2018, and 2019, respectively). MAIN MEASURES: Burnout and intent to leave practice. KEY RESULTS: WH-PCPs were more burned out than general PCPs (unadjusted: 55.0% vs. 46.9%, p<0.001; adjusted: OR=1.29, 95% confidence interval [CI] 1.10-1.55) but did not have a higher intention to leave (unadjusted: 33.4% vs. 32.1%, p=0.27; adjusted: OR=1.07, CI 0.81-1.41). WH-PCPs with intentions to leave were more likely to select the response option of "job-related (e.g., type of work, workload, burnout, boredom)" as their primary reason to leave. CONCLUSIONS: Burnout is higher among WH-PCPs compared to general PCPs, even after accounting for provider and practice characteristics. More research on causes of and solutions for these differences in burnout is needed.

Gender Differences in the Relationship Between Workplace Civility and Burnout Among VA Primary Care Providers.

BACKGROUND: Civility, or politeness, is an important part of the healthcare workplace, and its absence can lead to healthcare provider and staff burnout. Lack of civility is well-documented among mostly female nurses, but is not well-described among the gender-mixed primary care provider (PCP) workforce. Understanding civility and its relationship to burnout among male and female PCPs could help lead to tailored interventions to improve civility and reduce burnout in primary care. OBJECTIVE: To analyze gender differences in civility, burnout, and the relationship between civility and burnout among male and female PCPs. DESIGN: Multi-level logistic regression analysis of a cross-sectional national survey. PARTICIPANTS: A total of 3216 PCP respondents (1946 women and 1270 men) in 135 medical centers from a 2019 national Veterans Health Administration (VA) survey. MAIN MEASURES: Outcomes: burnout; predictors: workplace civility and gender; controls: race, ethnicity, VA tenure, and supervisory status. KEY RESULTS: Workplace civility was rated higher (p<0.001) among male (mean = 4.07, standard deviation [SD] = 0.36, range 1-5) compared to female (mean = 3.88, SD = 0.33) PCPs. Almost half of the sample reported burnout (47.6%), but this difference was not significant (p = 0.73) between the genders. Higher workplace civility was significantly related to lower burnout among female PCPs (odds ratio [OR] = 0.46, 95% confidence interval [CI] = 0.31 to 0.69), but not among male PCPs (OR = 0.71, 95% CI = 0.42 to 1.22). Interactions between civility and other demographic variables (race, ethnicity, VA tenure, or supervisory status) were not significantly related to burnout. CONCLUSION: Female PCPs report lower workplace civility than male PCPs. An inverse relationship between civility and burnout is present for women but not men. More research is needed on this phenomenon. Interventions tailored to gender- and primary care-specific needs should be employed to increase civility and reduce burnout among PCPs.

The Coordination Toolkit and Coaching Project: Cluster-Randomized Quality Improvement Initiative to Improve Patient Experience of Care Coordination.

BACKGROUND: Given persistent gaps in coordination of care for medically complex primary care patients, efficient strategies are needed to promote better care coordination. OBJECTIVE: The Coordination Toolkit and Coaching project compared two toolkit-based strategies of differing intensity to improve care coordination at VA primary care clinics. DESIGN: Multi-site, cluster-randomized QI initiative. PARTICIPANTS: Twelve VA primary care clinics matched in 6 pairs. INTERVENTIONS: We used a computer-generated allocation sequence to randomize clinics within each pair to two implementation strategies. Active control clinics received an online toolkit with evidence-based tools and QI coaching manual. Intervention clinics received the online toolkit plus weekly assistance from a distance coach for 12 months. MAIN MEASURES: We quantified patient experience of general care coordination using the Health Care System Hassles Scale (primary outcome) mailed at baseline and 12-month follow-up to serial cross-sectional patient samples. We measured the difference-in-difference (DiD) in clinic-level-predicted mean counts of hassles between coached and non-coached clinics, adjusting for clustering and patient characteristics using zero-inflated negative binomial regression and bootstrapping to obtain 95% confidence intervals. Other measures included care coordination QI projects attempted, tools adopted, and patient-reported exposure to projects. KEY RESULTS: N = 2,484 (49%) patients completed baseline surveys and 2,481 (48%) completed follow-ups. Six coached clinics versus five non-coached clinics attempted QI projects. All coached clinics versus two non-coached clinics attempted more than one project or projects that were multifaceted (i.e., involving multiple components addressing a common goal). Five coached versus three non-coached clinics used 1-2 toolkit tools. Both the coached and non-coached clinics experienced pre-post reductions in hassle counts over the study period (- 0.42 (- 0.76, - 0.08) non-coached; - 0.40 (- 0.75, - 0.06) coached). However, the DiD (0.02 (- 0.47, 0.50)) was not statistically significant; coaching did not improve patient experience of care coordination relative to the toolkit alone. CONCLUSION: Although coached clinics attempted more or more complex QI projects and used more tools than non-coached clinics, coaching provided no additional benefit versus the online toolkit alone in patient-reported outcomes. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03063294.

Women Veterans' Healthcare Needs, Utilization, and Preferences in Veterans Affairs Primary Care Settings.

BACKGROUND: The Veterans Health Administration (VA) is the largest integrated health system in the US and provides access to comprehensive primary care. Women Veterans are the fastest growing segment of new VA users, yet little is known about the characteristics of those who routinely access VA primary care in general or by age group. OBJECTIVE: Describe healthcare needs, utilization, and preferences of women Veterans who routinely use VA primary care. PARTICIPANTS: 1,391 women Veterans with 3+ primary care visits within the previous year in 12 VA medical centers (including General Primary Care Clinics, General Primary Care Clinics with designated space for women, and Comprehensive Women's Health Centers) in nine states. METHODS: Cross-sectional survey (45% response rate) of sociodemographic characteristics, health status (including chronic disease, mental health, pain, and trauma exposure), utilization, care preferences, and satisfaction. Select utilization data were extracted from administrative data. Analyses were weighted to the population of routine users and adjusted for non-response in total and by age group. KEY RESULTS: While 43% had health coverage only through VA, 62% received all primary care in VA. In the prior year, 56% used VA mental healthcare and 78% used VA specialty care. Common physical health issues included hypertension (42%), elevated cholesterol (39%), pain (35%), and diabetes (16%). Many screened positive for PTSD (41%), anxiety (32%), and depression (27%). Chronic physical and mental health burdens varied by age. Two-thirds (62%) had experienced military sexual trauma. Respondents reported satisfaction with VA women's healthcare and preference for female providers. CONCLUSIONS: Women Veterans who routinely utilize VA primary care have significant multimorbid physical and mental health conditions and trauma histories. Meeting women Veterans' needs across the lifespan will require continued investment in woman-centered primary care, including integrated mental healthcare and emphasis on trauma-informed, age-specific care, guided by women's provider preferences.

Call Center Remote Triage by Nurse Practitioners Was Associated With Fewer Subsequent Face-to-Face Healthcare Visits.

BACKGROUND: In 2015, the Veterans Health Administration (VHA) incorporated nurse practitioners (NPs) into remote triage call centers to supplement registered nurse (RN)-handled calls. OBJECTIVE: To assess 7-day healthcare use following telephone triage by NPs compared to RNs. We hypothesized that NP clinical decision ability may reduce follow-up healthcare. DESIGN: Retrospective observational comparative effectiveness study of clinical and administrative databases. NP routed calls were matched to RN calls based on chief complaint with propensity score matching and multivariate count data models, adjusting for differences in call severity and patient comorbidity. PARTICIPANTS: Callers to a VHA regional call center, April 2015 to March 2019. MAIN MEASURES: Primary care, specialty care, and emergency department (ED) visits plus hospitalizations within 7 days. KEY RESULTS: NP-handled calls (N = 1554) were matched to RN calls (N = 48,024) for the same chief complaint. NP-handled calls, compared to RNs, had lower comorbidities, fewer hospitalizations, and less urgent complaints. Seven-day healthcare use was lower for NP compared to RN calls for specialty care (0.15 vs. 0.20 visits per person [VPP]; p < 0.001), ED (0.11 vs. 0.27 VPP; p < 0.001), and hospitalizations (0.01 vs. 0.04 VPP; p < 0.001), but not primary care (0.43 vs. 0.42 VPP; p = 0.80). In adjusted analyses, estimated avoided in-person visits per 100 calls routed to NPs were 0.7 primary care visits (95% confidence interval [CI] 0.4, 1.0), 2.6 specialty care visits (95% CI 0.0, 5.1), 5.9 ED visits (95% CI 2.7, 9.1), and 1.4 hospital stays (95% CI 0.1, 2.6). Propensity score-matched models comparing NP (N = 1533) to RN (N = 2646) calls had adjusted odds ratios for 7-day healthcare use of 0.75 (primary care), 0.75 (specialty care), and 0.73 (ED) (all p < 0.003). CONCLUSION: Incorporating NPs into a call center was associated with lower in-person healthcare use in the subsequent 7 days compared to routine RN-triaged calls.

Association between care coordination tasks with non-VA community care and VA PCP burnout: an analysis of a national, cross-sectional survey.

BACKGROUND: The scope of care coordination in VA primary care increased with the launch of the Veterans Choice Act, which aimed to increase access through greater use of non-VA Community Care. These changes may have overburdened already busy providers with additional administrative tasks, contributing to provider burnout. Our objective was to understand the role of challenges with care coordination in burnout. We analyzed relationships between care coordination challenges with Community Care reported by VA primary care providers (PCPs) and VA PCP burnout. METHODS: Our cross-sectional survey contained five questions about challenges with care coordination. We assessed whether care coordination challenges were associated with two measures of provider burnout, adjusted for provider and facility characteristics. Models were also adjusted for survey nonresponse and clustered by facility. Trainee and executive respondents were excluded. 1,543 PCPs in 129 VA facilities nationwide responded to our survey (13 % response rate). RESULTS: 51 % of our sample reported some level of burnout overall, and 46 % reported feeling burned out at least once a week. PCPs were more likely to be burned out overall if they reported more than average challenges with care coordination (odds ratio [OR] 2.04, 95 % confidence interval [CI] 1.58 to 2.63). These challenges include managing patients with outside prescriptions or obtaining outside tests or records. CONCLUSIONS: VA primary care providers who reported greater than average care coordination challenges were more likely to be burned out. Interventions to improve care coordination could help improve VA provider experience.

Use of the Veterans' Choice Program and Attrition From Veterans Health Administration Primary Care.

BACKGROUND: Concerns over timely access and waiting times for appointments in the Veterans Health Administration (VHA) spurred the push towards greater privatization. In 2014, VHA increased the provision of care from community providers through the Veterans' Choice Program (Choice). OBJECTIVES: We examined the characteristics of patients and practices more likely to use Choice care and whether using Choice care affected patients' attrition from VHA primary care. STUDY DESIGN: We conducted a longitudinal study of VHA primary care users in the fiscal year 2015 and their attrition 2 years later. In the multivariate analysis, we examined whether attrition from VHA primary care was related to prior use of Choice care. SUBJECTS: A total of 1.4 million nonelderly patients diagnosed with chronic conditions. MEASURES: Choice outpatient care utilization was measured in the baseline year. Attrition was measured as not receiving any VHA primary care in 2 subsequent years. RESULTS: In our cohort, 93,710 (7%) patients used some Choice outpatient care, and these patients were more likely to be female, White or Hispanic, to have more primary care utilization at baseline, and to have long driving distances to VHA care. Practices which sent more patients out for Choice care had lower mean scores for patient-centered medical home implementation and longer mean waiting times for appointments. In the adjusted analysis, the probability of attrition was significantly lower (-0.009) among patients who used Choice outpatient care (0.036) versus patients who did not (0.044) (P<0.001). CONCLUSION: The use of community outpatient providers in the Choice program was associated with less attrition from VHA primary care.

Elements of the healthy work environment associated with lower primary care nurse burnout.

BACKGROUND: Little is known about the relationship between primary care nurses' work environment and burnout, particularly in settings where patient-centered medical homes (PCMH) have been implemented. PURPOSE: To investigate the relationship between PCMH nurses' work environment and burnout. METHODS: Multivariable analyses were performed using two waves of survey data from PCMH registered nurses (RNs; n = 170) and PCMH licensed vocational nurses (LVNs; n = 181) in 23 primary care clinics. FINDINGS: True collaboration was inversely associated with PCMH RN burnout (b = -2.6, 95% confidence interval [CI] = -4.29, -0.08, p < .01). Meaningful recognition was inversely associated with PCMH LVN burnout (b = -5.1, 95% CI = -8.36, -1.82, p < .01). In models with all nurses, RN (vs. LVN) position was associated with higher levels of burnout (b = 6.2, 95% CI = 2.47, 9.84, p < .01). DISCUSSION: This study highlights the important role of the work environment in reducing PCMH nurse burnout. Strategies to foster team collaboration and meaningful recognition should be investigated to reduce PCMH nurse burnout.

Variations in VA and Medicare Use Among Veterans With Diabetes: Impacts on Ambulatory Care Sensitive Conditions Hospitalizations for 2008, 2009, and 2010.

INTRODUCTION: VA and Medicare use among older Veterans has been considered fragmented care, however, it may represent access to needed care. METHODS: The population studied were Veterans with diabetes, age 66 years and older, dually enrolled in VA and Medicare. DATA SOURCE/STUDY SETTING: We conducted a dynamic retrospective cohort study with 2008, 2009, and 2010 as the outcome years (Ambulatory Care Sensitive Conditions Hospitalization (ACSC-H) or not). We analyzed administrative data to identify comorbidities; ambulatory care utilization to identify variations in use before hospitalization. We linked 2007 primary care (PC) survey data to assess if organizational factors were associated with ACSC-H. MEASURES AND ANALYSIS: We identified ACSC-Hs using a validated definition. We categorized VA/Medicare use as: single system; dual system: supplemental specialty care use; or primary care use. Using hierarchical logistic regression models, we tested for associations between VA/Medicare use, organizational characteristics, and ACSC-H controlling for patient-level, organizational-level, and area-level characteristics. RESULTS: Our analytic population was comprised of 210,726 Medicare-eligible Veterans; more than one quarter had an ACSC-H. We found that single system users had higher odds of ACSC-H compared with dual system specialty supplemental care use (odds ratio, 1.14; 95% confidence interval, 1.09-1.20), and no significant difference between dual-system users. Veterans obtaining care at sites where PC leaders reported greater autonomy (eg, authority over personnel issues) had lower odds of ACSC-H (odds ratio, 0.74; 95% confidence interval, 0.59-0.92). DISCUSSION: Our findings suggest that earlier assumptions about VA/Medicare use should be weighed against the possibility that neither VA nor Medicare may address complex Veterans' health needs. Greater PC leader autonomy may allow for tailoring of care to match local clinical contexts.

Staff Perspectives on Primary Care Teams as De Facto "Hubs" for Care Coordination in VA: a Qualitative Study.

BACKGROUND: Improving care coordination is a key priority for many healthcare systems. However, initiatives to improve care coordination are complex to implement and have produced mixed results. A better understanding of how to craft and support implementation of effective care coordination strategies is needed. OBJECTIVE: To identify and understand the challenges and factors encountered by Patient-Aligned Care Team (PACT) staff in performing care coordination tasks in outpatient clinics in the Veterans Health Administration (VA). DESIGN: Qualitative study using semi-structured formative evaluation interviews. PARTICIPANTS: Fourteen interviews with 18 clinical frontline managers and staff from 12 clinic sites across five VA health systems. INTERVENTIONS: This paper reports on baseline data collected for the Coordination Toolkit and Coaching (CTAC) project. CTAC aims to improve patients' experience of care coordination within VA primary care and between PACT and other outpatient and community settings. APPROACH: We conducted pre-implementation telephone interviews with frontline managers and staff, primarily nurse managers. KEY RESULTS: PACT staff described challenges in aligning care coordination priorities across different levels of the VA system, including staff, patients, and leadership. Additionally, PACT staff noted challenges coordinating care both within and outside the VA, and identified resource barriers impeding their care coordination efforts. To address these challenges, staff made several recommendations for improvement, including (1) contingency staffing to address staff burnout; (2) additional PACT training for new staff; (3) clarification of care coordination roles and responsibilities; and (4) and care coordination initiatives that align both with centrally initiated care coordination programs and frontline needs. CONCLUSION: In the VA and similarly complex healthcare systems, our findings suggest the need for care coordination strategies that are buttressed by a system-level vision for care coordination, backed up by clear roles and responsibilities for information exchange between primary care staff and other settings, and multidimensional accountability metrics that encompass patient-, staff-, and system-level goals.

Primary Care Tasks Associated with Provider Burnout: Findings from a Veterans Health Administration Survey.

BACKGROUND: The patient-centered medical home (PCMH) is a primary care delivery model predicated on shared responsibility for patient care among members of an interprofessional team. Effective task sharing may reduce burnout among primary care providers (PCPs). However, little is known about the extent to which PCPs share these responsibilities, and which, if any, of the primary care tasks performed independently by the PCPs (vs. shared with the team) are particularly associated with PCP burnout. A better understanding of the relationship between these tasks and their effects on PCP burnout may help guide focused efforts aimed at reducing burnout. OBJECTIVE: To investigate (1) the extent to which PCPs share responsibility for 14 discrete primary care tasks with other team members, and (2) which, if any, of the primary care tasks performed by the PCPs (without reliance on team members) are associated with PCP burnout. DESIGN: Secondary data analysis of Veterans Health Administration (VHA) survey data from two time periods. PARTICIPANTS: 327 providers from 23 VA primary care practices within one VHA regional network. MAIN MEASURES: The dependent variable was PCP report of burnout. Independent variables included PCP report of the extent to which they performed 14 discrete primary care tasks without reliance on team members; team functioning; and PCP-, clinic-, and system-level variables. KEY RESULTS: In adjusted models, PCP reports of intervening on patient lifestyle factors and educating patients about disease-specific self-care activities, without reliance on their teams, were significantly associated with burnout (intervening on lifestyle: b = 4.11, 95% CI = 0.39, 7.83, p = 0.03; educating patients: b = 3.83, 95% CI = 0.33, 7.32, p = 0.03). CONCLUSIONS: Performing behavioral counseling and self-management education tasks without relying on other team members for assistance was associated with PCP burnout. Expanding the roles of nurses and other healthcare professionals to assume responsibility for these tasks may ease PCP burden and reduce burnout.

Organizational Factors Affecting the Likelihood of Cancer Screening Among VA Patients.

BACKGROUND: Preventive service delivery, including cancer screenings, continues to pose a challenge to quality improvement efforts. Although many studies have focused on person-level characteristics associated with screening, less is known about organizational influences on cancer screening. OBJECTIVES: This study aims to understand the association between organizational factors and adherence to cancer screenings. METHODS: This study employed a cross-sectional design using organizational-level, patient-level, and area-level data. Dependent variables included breast, cervical, and colorectal cancer screening. Organizational factors describing resource sufficiency were constructed using factor analyses from a survey of 250 Veterans Affairs primary care directors. We conducted random-effects logistic regression analyses, modeling cancer screening as a function of organizational factors, controlling for patient-level and area-level factors. RESULTS: Overall, 87% of the patients received mammograms, 92% received cervical and 78% had colorectal screening. Quality improvement orientation increased the odds of cervical [odds ratio (OR): 1.27; 95% confidence interval (CI), 1.03-1.57] and colorectal cancer screening (OR: 1.10; 95% CI, 1.00-1.20). Authority in determining primary care components increased the odds of mammography screening (OR: 1.23; 95% CI, 1.03-1.51). Sufficiency in clinical staffing increased the odds of mammography and cervical cancer screenings. Several patient-level factors, serving as control variables, were associated with achievement of screenings. CONCLUSIONS: Resource sufficiency led to increased odds of screening possibly because they promote excellence in patient care by conveying organizational goals and facilitate goal achievement with resources. Complementary to patient-level factors, our findings identified organizational processes associated with better performance, which offer concrete strategies in which facilities can evaluate their capabilities to implement best practices to foster and sustain a culture of quality care.

Challenges in referral communication between VHA primary care and specialty care.

BACKGROUND: Poor communication between primary care providers (PCPs) and specialists is a significant problem and a detriment to effective care coordination. Inconsistency in the quality of primary-specialty communication persists even in environments with integrated delivery systems and electronic medical records (EMRs), such as the Veterans Health Administration (VHA). OBJECTIVE: The purpose of this study was to measure ease of communication and to characterize communication challenges perceived by PCPs and primary care personnel in the VHA, with a particular focus on challenges associated with referral communication. DESIGN: The study utilized a convergent mixed-methods design: online cross-sectional survey measuring PCP-reported ease of communication with specialists, and semi-structured interviews characterizing primary-specialty communication challenges. PARTICIPANTS: 191 VHA PCPs from one regional network were surveyed (54% response rate), and 41 VHA PCPs and primary care staff were interviewed. MAIN MEASURES/APPROACH: PCP-reported ease of communication mean score (survey) and recurring themes in participant descriptions of primary-specialty referral communication (interviews) were analyzed. KEY RESULTS: Among PCPs, ease-of-communication ratings were highest for women's health and mental health (mean score of 2.3 on a scale of 1-3 in both), and lowest for cardiothoracic surgery and neurology (mean scores of 1.3 and 1.6, respectively). Primary care personnel experienced challenges communicating with specialists via the EMR system, including difficulty in communicating special requests for appointments within a certain time frame and frequent rejection of referral requests due to rigid informational requirements. When faced with these challenges, PCPs reported using strategies such as telephone and e-mail contact with specialists with whom they had established relationships, as well as the use of an EMR-based referral innovation called "eConsults" as an alternative to a traditional referral. CONCLUSIONS: Primary-specialty communication is a continuing challenge that varies by specialty and may be associated with the likelihood of an established connection already in place between specialty and primary care. Improvement in EMR systems is needed, with more flexibility for the communication of special requests. Building relationships between PCPs and specialists may also facilitate referral communication.

Challenges facing primary care practices aiming to implement patient-centered medical homes.

BACKGROUND: While the potential of patient-centered medical homes (PCMH) is promising, little is known empirically about the frontline challenges that primary care (PC) leaders face before making the decision to implement PCMH, let alone in making it a reality. OBJECTIVE: Prior to the design and implementation of the Veterans Health Administration's (VA) national PCMH model--Patient Aligned Care Teams (PACT)--we identified the top challenges faced by PC directors and examined the organizational and area level factors that influenced those challenges. DESIGN AND PARTICIPANTS: A national cross-sectional key informant organizational survey was fielded to the census of PC directors at VA medical centers and large community-based outpatient clinics (final sample n = 229 sites). MAIN MEASURES: PC directors were asked to rate the degree to which they faced 48 management challenges in eight PCMH-related domains (access, preventive care, chronic diseases requiring care in PC, challenging medical conditions, mental health/substance abuse, special populations, PC coordination of care, and clinical informatics). Responses were dichotomized as moderately-to-extremely challenging versus somewhat-slightly-not at all challenging. Items were rank ordered; chi square or regression techniques were used to examine variations in facility size, type, urban/rural location, and region. KEY RESULTS: On average, VA PC directors reported 16 moderate-to-extreme challenges, and the top 20 challenges spanned all eight PCMH domains. Four of the top 20 challenges, including the top two challenges, were from the clinical informatics domain. Management of chronic non-malignant pain requiring opiate therapy was the third most reported challenge nationwide. Significant organizational and area level variations in reported challenges were found especially for care coordination. CONCLUSIONS: Better understanding of PC challenges ahead of PCMH implementation provides important context for strategic planning and redesign efforts. As a national healthcare system, the VA provides a unique opportunity to examine organizational and area determinants relevant to other PCMH models.

Racial/ethnic differences in cardiovascular risk factors among women veterans.

BACKGROUND: Heart disease is the leading cause of death for women in the United States, accounting for 24.5 % of all deaths among women. Earlier research has demonstrated racial/ethnic differences in prevalence of cardiovascular (CVD) risk factors. OBJECTIVE: To empirically examine the prevalence of CVD risk factors among a national sample of women Veterans by race/ethnicity, providing the first portrait of women Veterans' cardiovascular care needs. DESIGN AND PARTICIPANTS: Cross-sectional, national population-based telephone survey of 3,611 women Veterans. MEASUREMENTS: Women Veterans were queried about presence of diabetes, hypertension, obesity, tobacco use and physical activity. Four racial/ethnic categories were created: Hispanic, Non-Hispanic White (White), Non-Hispanic Black (Black), and Other. Logistic regressions were conducted for each risk factor to test for racial/ethnic differences, controlling for age (under 40 vs. 40 and over). KEY RESULTS: Racial/ethnic differences in CVD risk factors persisted after adjusting for age. Black women Veterans were more likely to report a diagnosis of diabetes (OR: 2.58, 95 % CI: 1.07, 6.21) or hypertension (OR: 2.31, 95 % CI: 1.10, 4.83) and be obese (OR: 2.06, 95 % CI: 1.05, 3.91) than White women Veterans. Hispanic women Veterans were more likely than White women Veterans to report diabetes (OR: 4.20, 95 % CI: 1.15, 15.39) and daily smoking (OR: 3.38, 95 % CI: 1.01, 11.30), but less likely to report a hypertension diagnosis (OR 0.21, 95% CI: 0.07, 0.64) or to be obese (OR: 0.39, 95 % CI: 0.18, 0.81). CONCLUSIONS: Among women Veterans, CVD risks vary by race/ethnicity. Black women Veterans consistently face higher CVD risk compared to White women Veterans, while results are mixed for Hispanic women Veterans.

Medical Home Features of VHA Primary Care Clinics and Avoidable Hospitalizations.

BACKGROUND: As the Veterans Health Administration (VHA) reorganizes providers into the patient-centered medical home, questions remain whether this model of care can demonstrate improved patient outcomes and cost savings. OBJECTIVE: We measured adoption of medical home features by VHA primary care clinics prior to widespread implementation of the patient-centered medical home and examined if they were associated with lower risk and costs of potentially avoidable hospitalizations. DESIGN: Secondary patient data was linked to clinic administrative and survey data. Patient and clinic factors in the baseline year (FY2009) were used to predict patient outcomes in the follow-up year. PARTICIPANTS: 2,853,030 patients from 814 VHA primary care clinics MAIN MEASURES: Patient outcomes were measured by hospitalizations for an ambulatory care sensitive condition (ACSC) and their costs and identified through diagnosis and procedure codes from inpatient records. Clinic adoption of medical home features was obtained from the American College of Physicians Medical Home Builder®. KEY RESULTS: The overall mean home builder score in the study clinics was 88 (SD = 13) or 69%. In adjusted analyses an increase of 10 points in the medical home adoption score in a clinic decreased the odds of an ACSC hospitalization for patients by 3% (P = 0.032). By component, higher access and scheduling (P = 0.004) and care coordination and transitions (P = 0.020) component scores were related to lower risk of an ACSC hospitalization, and higher population management was related to higher risk (P = 0.023). Total medical home features was not related to ACSC hospitalization costs among patients with at least one (P = 0.074). CONCLUSION: Greater adoption of medical home features by VHA primary care clinics was found to be significantly associated with lower risk of avoidable hospitalizations with access and scheduling and care coordination/transitions in care as key factors.

Determinants of readiness for primary care-mental health integration (PC-MHI) in the VA Health Care System.

BACKGROUND: Depression management can be challenging for primary care (PC) settings. While several evidence-based models exist for depression care, little is known about the relationships between PC practice characteristics, model characteristics, and the practice's choices regarding model adoption. OBJECTIVE: We examined three Veterans Affairs (VA)-endorsed depression care models and tested the relationships between theoretically-anchored measures of organizational readiness and implementation of the models in VA PC clinics. DESIGN: 1) Qualitative assessment of the three VA-endorsed depression care models, 2) Cross-sectional survey of leaders from 225 VA medium-to-large PC practices, both in 2007. MAIN MEASURES: We assessed PC readiness factors related to resource adequacy, motivation for change, staff attributes, and organizational climate. As outcomes, we measured implementation of one of the VA-endorsed models: collocation, Translating Initiatives in Depression into Effective Solutions (TIDES), and Behavioral Health Lab (BHL). We performed bivariate and, when possible, multivariate analyses of readiness factors for each model. KEY RESULTS: Collocation is a relatively simple arrangement with a mental health specialist physically located in PC. TIDES and BHL are more complex; they use standardized assessments and care management based on evidence-based collaborative care principles, but with different organizational requirements. By 2007, 107 (47.5 %) clinics had implemented collocation, 39 (17.3 %) TIDES, and 17 (7.6 %) BHL. Having established quality improvement processes (OR 2.30, [1.36, 3.87], p = 0.002) or a depression clinician champion (OR 2.36, [1.14, 4.88], p = 0.02) was associated with collocation. Being located in a VA regional network that endorsed TIDES (OR 8.42, [3.69, 19.26], p < 0.001) was associated with TIDES implementation. The presence of psychologists or psychiatrists on PC staff, greater financial sufficiency, or greater spatial sufficiency was associated with BHL implementation. CONCLUSIONS: Both readiness factors and characteristics of depression care models influence model adoption. Greater model simplicity may make collocation attractive within local quality improvement efforts. Dissemination through regional networks may be effective for more complex models such as TIDES.