Social Determinants of Long-Term Opioid Use Following Total Knee Arthroplasty.

Total knee arthroplasty (TKA) risks persistent pain and long-term opioid use (LTO). The role of social determinants of health (SDoH) in LTO is not well established. We hypothesized that SDoH would be associated with postsurgical LTO after controlling for relevant demographic and clinical variables. This study utilized data from the Veterans Affairs Surgical Quality Improvement Program, VA Corporate Data Warehouse, and Centers for Medicare and Medicaid Services, including Veterans aged ≥ 65 who underwent elective TKA between 2013 and 2019 with no postsurgical complications or history of significant opioid use. LTO was defined as > 90 days of opioid use beginning within 90 days postsurgery. SDoH variables included the Area Deprivation Index, rurality, and housing instability in the last 12 months identified via medical record screener or International Classification of Diseases, Tenth Revision codes. Multivariable risk adjustment models controlled for demographic and clinical characteristics. Of the 9,064 Veterans, 97% were male, 84.2% white, mean age was 70.6 years, 46.3% rural, 11.2% living in highly deprived areas, and 0.9% with a history of homelessness/housing instability. Only 3.7% (n = 336) developed LTO following TKA. In a logistic regression model of only SDoH variables, housing instability (odds ratio [OR] = 2.38, 95% confidence interval [CI]: 1.09-5.22) and rurality conferred significant risk for LTO. After adjusting for demographic and clinical variables, LTO was only associated with increasing days of opioid supply in the year prior to surgery (OR = 1.52, 95% CI: 1.43-1.63 per 30 days) and the initial opioid fill (OR = 1.07; 95% CI: 1.06-1.08 per day). Our primary hypothesis was not supported; however, our findings do suggest that patients with housing instability may present unique challenges for postoperative pain management and be at higher risk for LTO.

Home noninvasive ventilation use in patients hospitalized with COPD.

INTRODUCTION: The study objective was to estimate the prevalence of chronic hypercapnic respiratory failure (CHRF) and home noninvasive ventilation (NIV) use in a high-risk population, individuals with a history of at least one COPD-related hospitalizations. METHODS: We retrospectively analyzed electronic medical record data of patients with at least one COPD-related hospitalization between October 1, 2011, and September 30, 2017, to the Iowa City VA Medical Center. We excluded individuals with no obstructive ventilatory defect. RESULTS: Of 186 patients, the overall prevalence of compensated hypercapnic respiratory failure (CompHRF), defined as PaCO2  > 45 mmHg with a pH = 7.35-7.45, was 52.7%, while the overall prevalence of home NIV was 4.3%. The prevalence of CompHRF was 43.6% and home NIV was 1.8% in those with one COPD-related hospitalization. Among those with ≥4 COPD-related hospitalizations, the prevalence of CompHRF was 77.8% (14 of 18), and home NIV was 11.1% (2 of 18). CONCLUSION: Approximately half of individuals with at least one COPD-related hospitalization have CompHRF, but only 8.2% of those use home NIV. Future studies should estimate CHRF rates and the degree of underutilization of home NIV in larger multicenter samples.

Association of rural living with COPD-related hospitalizations and deaths in US veterans.

It is unclear whether the high burden of COPD in rural areas is related to worse outcomes in patients with COPD or is because the prevalence of COPD is higher in rural areas. We assessed the association of rural living with acute exacerbations of COPD (AECOPDs)-related hospitalization and mortality. We retrospectively analyzed Veterans Affairs (VA) and Medicare data of a nationwide cohort of veterans with COPD aged ≥ 65 years with COPD diagnosis between 2011 and 2014 that had follow-up data until 2017. Patients were categorized based on residential location into urban, rural, and isolated rural. We used generalized linear and Cox proportional hazards models to assess the association of residential location with AECOPD-related hospitalizations and long-term mortality. Of 152,065 patients, 80,162 (52.7%) experienced at least one AECOPD-related hospitalization. After adjusting for demographics and comorbidities, rural living was associated with fewer hospitalizations (relative risk-RR = 0.90; 95% CI: 0.89-0.91; P < 0.001) but isolated rural living was not associated with hospitalizations. Only after accounting for travel time to the closest VA medical center, neighborhood disadvantage, and air quality, isolated rural living was associated with more AECOPD-related hospitalizations (RR = 1.07; 95% CI: 1.05-1.09; P < 0.001). Mortality did not vary between rural and urban living patients. Our findings suggest that other aspects than hospital care may be responsible for the excess of hospitalizations in isolated rural patients like poor access to appropriate outpatient care.

Ninety-Day Risk-Standardized Home Time as a Performance Metric for Cardiac Surgery Hospitals in the United States.

BACKGROUND: Assessing hospital performance for cardiac surgery necessitates consistent and valid care quality metrics. The association of hospital-level risk-standardized home time for cardiac surgeries with other performance metrics such as mortality rate, readmission rate, and annual surgical volume has not been evaluated previously. METHODS: The study included Medicare beneficiaries who underwent isolated or concomitant coronary artery bypass graft, aortic valve, or mitral valve surgery from January 1, 2013, to October 1, 2019. Hospital-level performance metrics of annual surgical volume, 90-day risk-standardized mortality rate, 90-day risk-standardized readmission rate, and 90-day risk-standardized home time were estimated starting from the day of surgery using generalized linear mixed models with a random intercept for the hospital. Correlations between the performance metrics were assessed using the Pearson correlation coefficient. Patient-level clinical outcomes were also compared across hospital quartiles by 90-day risk-standardized home time. Last, the temporal stability of performance metrics for each hospital during the study years was also assessed. RESULTS: Overall, 919 698 patients (age 74.2±5.8 years, 32% women) were included from 1179 hospitals. Median 90-day risk-standardized home time was 71.2 days (25th-75th percentile, 66.5-75.6), 90-day risk-standardized readmission rate was 26.0% (19.5%-35.7%), and 90-day risk-standardized mortality rate was 6.0% (4.0%-8.8%). Across 90-day home time quartiles, a graded decline was observed in the rates of in-hospital, 90-day, and 1-year mortality, and 90-day and 1-year readmission. Ninety-day home time had a significant positive correlation with annual surgical volume (r=0.31; P<0.001) and inverse correlation with 90-day risk-standardized readmission rate (r=-0.40; P <0.001) and 90-day risk-standardized mortality rate (r=-0.60; P <0.001). Use of 90-day home time as a performance metric resulted in a meaningful reclassification in performance ranking of 22.8% hospitals compared with annual surgical volume, 11.6% compared with 90-day risk-standardized mortality rate, and 19.9% compared with 90-day risk-standardized readmission rate. Across the 7 years of the study period, 90-day home time demonstrated the most temporal stability of the hospital performance metrics. CONCLUSIONS: Ninety-day risk-standardized home time is a feasible, comprehensive, patient-centered metric to assess hospital-level performance in cardiac surgery with greater temporal stability than mortality and readmission measures.

Delays and declines in seasonal influenza vaccinations due to Hurricane Harvey narrow annual gaps in vaccination by race, income and rurality.

OBJECTIVE: Temporal overlap of the Atlantic hurricane season and seasonal influenza vaccine rollout has the potential to result in delays or disruptions of vaccination campaigns. We documented seasonal influenza vaccination behavior over a 5-year period and explored associations between flooding following Hurricane Harvey and timing and uptake of vaccines, as well as how the impacts of Hurricane Harvey on vaccination vary by race, wealth, and rurality. DESIGN: Retrospective cohort analysis. SETTING: Texas counties affected by Hurricane Harvey. PATIENTS: Active users of the Veterans' Health Administration in 2017. METHODS: We used geocoded residential address data to assess flood exposure status following Hurricane Harvey. Days to receipt of seasonal influenza vaccines were calculated for each year from 2014 to 2019. Proportional hazards models were used to determine how likelihood of vaccination varied according to flood status as well as the race, wealth, and rural-urban residence of patients. RESULTS: The year of Hurricane Harvey was associated with a median delay of 2 weeks to vaccination and lower overall vaccination than in prior years. Residential status in flooded areas was associated with lower hazards of influenza vaccination in all years. White patients had higher proportional hazards of influenza vaccination than non-White patients, though this attenuated to 6.39% (hazard ratio [HR], 1.0639; 95% confidence interval [CI], 1.034-1.095) in the hurricane. year. CONCLUSIONS: Receipt of seasonal influenza vaccination following regional exposure to the effects of Hurricane Harvey was delayed among US veterans. White, non-low-income, and rural patients had higher likelihood of vaccination in all years of the study, but these gaps narrowed during the hurricane year.

Risk-Adjusted, 30-Day Home Time After Transcatheter Aortic Valve Replacement as a Hospital-Level Performance Metric.

BACKGROUND: Patient-centric measures of hospital performance for transcatheter aortic valve replacement (TAVR) are needed. OBJECTIVES: This study evaluated 30-day, risk-adjusted home time as a hospital performance metric for patients who underwent TAVR. METHODS: This study identified 160,792 Medicare beneficiaries who underwent elective TAVR from 2015 to 2019. Home time was calculated for each patient as the number of days alive and spent outside the hospital, skilled nursing facility (SNF), and long-term acute care facility for 30 days after the TAVR procedure date. Correlations between risk-adjusted, 30-day home time and other metrics (30-day, risk-adjusted readmission rate [RSRR], 30-day, risk-adjusted mortality rate [RSMR], and annual TAVR volume) were estimated using Pearson's correlation. Meaningful upward or downward reclassification (≥2 quartile ranks) in hospital performance based on quartiles of risk-adjusted, 30-day home time compared with quartiles of other measures were assessed. RESULTS: Median risk-adjusted, 30-day home time was 27.4 days (interquartile range [IQR]: 26.3-28.5 days). The largest proportion of days lost from 30-day home time was hospital stay after TAVR and SNF stay. An inverse correlation was observed between hospital-level, risk-adjusted, 30-day home time and 30-day RSRR (r = -0.465; P < 0.001) and 30-day RSMR (r = -0.3996; P < 0.001). The use of the 30-day, risk-adjusted home time was associated with reclassification in hospital performance rank hospitals compared with other metrics (9.1% up-classified, 11.2% down-classified vs RSRR; 9.1% up-classified, 10.3% down-classified vs RSMR; and 20.1% up-classified, 19.3% down-classified vs annual TAVR volume). CONCLUSIONS: Risk-adjusted, 30-day home time represents a novel patient-centered performance metric for TAVR hospitals that may provide a complimentary assessment to currently used metrics.

Transcatheter Versus Surgical Aortic Valve Replacement in Patients With Rheumatic Aortic Stenosis.

BACKGROUND: Patients with rheumatic aortic stenosis (AS) were excluded from transcatheter aortic valve replacement (TAVR) trials. OBJECTIVES: The authors sought to examine outcomes with TAVR versus surgical aortic valve replacement (SAVR) in patients with rheumatic AS, and versus TAVR in nonrheumatic AS. METHODS: The authors identified Medicare beneficiaries who underwent TAVR or SAVR from October 2015 to December 2017, and then identified patients with rheumatic AS using prior validated International Classification of Diseases, Version 10 codes. Overlap propensity score weighting analysis was used to adjust for measured confounders. The primary study outcome was all-cause mortality. Multiple secondary outcomes were also examined. RESULTS: The final study cohort included 1,159 patients with rheumatic AS who underwent aortic valve replacement (SAVR, n = 554; TAVR, n = 605), and 88,554 patients with nonrheumatic AS who underwent TAVR. Patients in the SAVR group were younger and with lower prevalence of most comorbidities and frailty scores. After median follow-up of 19 months (interquartile range: 13 to 26 months), there was no difference in all-cause mortality with TAVR versus SAVR (11.2 vs. 7.0 per 100 person-year; adjusted hazard ratio: 1.53; 95% confidence interval: 0.84 to 2.79; p = 0.2). Compared with TAVR in nonrheumatic AS, TAVR for rheumatic AS was associated with similar mortality (15.2 vs. 17.7 deaths per 100 person-years (adjusted hazard ratio: 0.87; 95% confidence interval: 0.68 to 1.09; p = 0.2) after median follow-up of 17 months (interquartile range: 11 to 24 months). None of the rheumatic TAVR patients, <11 SAVR patients, and 242 nonrheumatic TAVR patients underwent repeat aortic valve replacement (124 redo-TAVR and 118 SAVR) at follow-up. CONCLUSIONS: Compared with SAVR, TAVR could represent a viable and possibly durable option for patients with rheumatic AS.

Expansion of transcatheter aortic valve replacement in the United States.

BACKGROUND: Patterns of diffusion of TAVR in the United States (U.S.) and its relation to racial disparities in TAVR utilization remain unknown. METHODS: We identified TAVR hospitals in the continental U.S. from 2012-2017 using Medicare database and mapped them to Hospital Referral Regions (HRR). We calculated driving distance from each residential ZIP code to the nearest TAVR hospital and calculated the proportion of the U.S. population, in general and by race, that lived <100 miles driving distance from the nearest TAVR center. Using a discrete time hazard logistic regression model, we examined the association of hospital and HRR variables with the opening of a TAVR program. RESULTS: The number of TAVR hospitals increased from 230 in 2012 to 540 in 2017. The proportion of the U.S. population living <100 miles from nearest TAVR hospital increased from 89.3% in 2012 to 94.5% in 2017. Geographic access improved for all racial and ethnic subgroups: Whites (84.1%-93.6%), Blacks (90.0%- 97.4%), and Hispanics (84.9%-93.7%). Within a HRR, the odds of opening a new TAVR program were higher among teaching hospitals (OR 1.48, 95% CI 1.16-1.88) and hospital bed size (OR 1.44, 95% CI 1.37-1.52). Market-level factors associated with new TAVR programs were proportion of Black (per 1%, OR 0.78, 95% CI 0.69-0.89) and Hispanic (per 1%, OR 0.82, 95% CI 0.75-0.90) residents, the proportion of hospitals within the HRR that already had a TAVR program (per 10%, OR 1.07, 95% CI 1.03-1.11), P <.01 for all. CONCLUSION: The expansion of TAVR programs in the U.S. has been accompanied by an increase in geographic coverage for all racial subgroups. Further study is needed to determine reasons for TAVR underutilization in Blacks and Hispanics.

Patient Aligned Care Team (PACT) Performance in Urban and Rural VHA Primary Care Clinics: A Mixed Methods Study.

PURPOSE: To assess differences in Patient Aligned Care Team (PACT) performance between rural and urban primary care clinics within the Veterans Health Administration (VHA). METHODS: An Explanatory Sequential Mixed Methods design was conducted using VHA administrative data to assess performance of a national sample of 891 VHA primary care clinics. Generalized Estimating Equations with repeated measures were used to estimate associations between rurality and process-oriented endpoints including: chronic disease management through telehealth; use of telephone visits, group visits or secured messaging; same-day access; continuity with primary care provider; and postdischarge follow-up. Qualitative data collected during on-site visits with 5 clinics were used to provide insights into PACT processes from the perspectives of staff in rural and urban clinics. FINDINGS: After adjusting for patient- and practice-level characteristics, clinics located in large rural or small/isolated rural areas demonstrated difficulty enhancing access through use of telephone visits, group visits, or secured messaging and completing postdischarge follow-up calls, compared to urban clinics. Qualitative analysis indicated that staff from both rural and urban clinics reported similar barriers implementing these PACT processes. Both patient and staff behaviors and preferences impact implementation of these processes. Distance to care and access to high-speed Internet were also reported as barriers. CONCLUSIONS: This study contributes to the understanding of PACT performance in rural settings by highlighting ways contextual and behavioral factors relate to performance. Increasing implementation of patient-centered medical home (PCMH) models, such as PACT, will require additional attention to the complex relationships between the practice and surrounding context.

A simplified critical illness severity scoring system (CISSS): Development and internal validation.

PURPOSE: To create a simplified critical illness severity scoring system with high prediction accuracy for 30-day mortality using only commonly available variables. MATERIALS AND METHODS: This is a retrospective cohort study of ICU admissions 2010-2015 in 306 ICUs in 117 Veterans Affairs (VA) hospitals. We randomly divided our cohort into a training dataset (75%) and a validation dataset (25%). We created a critical illness severity scoring system (CISSS) using age, comorbidities, heart rate, mean arterial blood pressure, temperature, respiratory rate, hematocrit, white blood cell count, creatinine, sodium, glucose, albumin, bilirubin, bicarbonate, use of invasive mechanical ventilation, and whether the admission was surgical or not. We validated the performance of CISSS to predict 30-day mortality internally. RESULTS: After excluding 31,743 re-admissions, we divided our sample (n = 534,001) into a training (n = 400,613) and a validation dataset (n = 133,388). In the training dataset, the area under the curve (AUC) of CISSS was 0.847(95%CI = 0.845-0.850). In the validation dataset, the AUC was 0.848 (95%CI = 0.844-0.852), the standardized mortality ratio (SMR) was 1.00 (95%CI = 0.98-1.02), and Brier's score for 30-day mortality was 0.058 (95%CI = 0.057-0.059). CISSS calibration was acceptable. CONCLUSIONS: CISSS has very good performance and requires only commonly used variables that can be easily extracted by electronic health records.

Incidence, Predictors, and Outcomes of Endocarditis After Transcatheter Aortic Valve Replacement in the United States.

OBJECTIVES: This study sought to evaluate the incidence and outcomes of endocarditis after transcatheter aortic valve replacement (TAVR). BACKGROUND: Data about endocarditis after TAVR are limited. METHODS: The study investigated Medicare patients who underwent TAVR from 2012 to 2017 and identified patients admitted with endocarditis during follow-up using a validated algorithm. The main study outcome was all-cause mortality. RESULTS: Of 134,717 patients who underwent TAVR, 1868 patients developed endocarditis during follow-up (incidence 0.87%/year), with majority of infections (65.0%) occurring within 1 year. Incidence of endocarditis declined in recent years. The most common organisms were Staphylococcus (22.0%), Streptococcus (20.0%), and Enterococcus (15.5%). Important predictors for endocarditis were younger age at TAVR, male sex, prior endocarditis, end-stage renal disease, repeat TAVR procedures, liver and lung disease, and post-TAVR acute kidney injury. Thirty-day and 1-year mortality were 18.5% and 45.6%, respectively. After adjusting for comorbidities and procedural complications, endocarditis after TAVR was associated with 3-fold higher risk of mortality (44.9 vs. 16.2 deaths per 100 person-years; adjusted hazard ratio [aHR]: 2.94; 95% confidence interval [CI]: 2.77 to 3.12; p < 0.0001). End-stage renal disease (aHR: 2.12; 95% CI: 1.72 to 2.60), endocarditis complicated by cardiogenic shock (aHR: 2.50, 95% CI: 1.56 to 4.02), ischemic stroke (aHR: 1.56; 95% CI: 1.07 to 2.28), intracerebral hemorrhage (aHR: 1.67; 95% CI: 1.01 to 2.76), acute kidney injury (aHR: 1.44; 95% CI: 1.27 to 1.63), blood transfusion (aHR: 1.28; 95% CI: 1.09 to 1.50), staphylococcal (aHR: 1.71; 95% CI: 1.49 to 1.97), and fungal endocarditis (aHR: 1.72; 95% CI: 1.23 to 2.39) (p < 0.05 for all) portended higher mortality following endocarditis. CONCLUSIONS: The incidence of endocarditis after TAVR is low and declining. However, it is associated with poor prognosis with one-half the patients dying within 1 year.

Long-Term Outcomes of Coronary Stenting With and Without Use of Intravascular Ultrasound.

OBJECTIVES: This study sought to explore if intravascular ultrasound (IVUS) use in real-world patients is associated with improved long-term outcomes of percutaneous coronary intervention (PCI). BACKGROUND: The benefit of IVUS use with PCI in real world is uncertain. METHODS: We identified Medicare patients who underwent PCI from 2009 to 2017 and evaluated the association of IVUS use with long-term risk of mortality, myocardial infarction (MI), and repeat revascularization. We used propensity score matching and inverse probability weighting to adjust for baseline characteristics. To account for hospital effects, patients undergoing IVUS-guided PCI were matched to non-IVUS patients in the same hospital and year. Sensitivity analyses comparing outcomes with and without IVUS in stable coronary artery disease and acute coronary syndrome, PCI with bare-metal stents and drug-eluting stents, complex and noncomplex PCI, and facilities with 1% to 5%, 5% to 10%, and >10% IVUS use were performed. RESULTS: Overall, IVUS was used in 5.6% of all PCI patients (105,787 out of 1,877,177 patients). Patients with IVUS-guided PCI had a higher prevalence of most comorbidities. In the propensity matched analysis, IVUS-guided PCI was associated with lower 1-year mortality (11.5% vs. 12.3%), MI (4.9% vs. 5.2%), and repeat revascularization (6.1% vs. 6.7%) (p < 0.001 for all). In inverse probability weighting analysis with a median follow-up of 3.7 years (interquartile range: 1.7 to 6.4 years), IVUS-guided PCI was associated with a lower risk of mortality (adjusted hazard ratio [aHR]: 0.903; 95% confidence interval [CI]: 0.885 to 0.922), MI (aHR: 0.899; 95% CI: 0.893 to 0.904), and repeat revascularization (aHR: 0.893; 95% CI: 0.887 to 0.898) (p < 0.001 for all). These findings were consistent in all subgroups in sensitivity analyses. CONCLUSIONS: In this contemporary U.S. Medicare cohort, the use of IVUS guidance in PCI remains low. Use of IVUS is associated with lower long-term mortality, MI, and repeat revascularization.

Trends in Hospitalization for Opioid Overdose among Rural Compared to Urban Residents of the United States, 2007-2014.

Hospitalizations and deaths due to opioid overdose have increased over the last decades. We used data from the National Inpatient Sample and the American Community Survey to describe trends in hospitalization rates for opioid overdose among rural residents compared with urban residents in the United States from 2007 to 2014. Hospitalization rates for heroin overdose increased in all years and were higher in urban residents compared with rural residents (5.5 per 100,000 in large urban populations vs 2.1 per 100,000 in rural populations in 2014). In contrast, hospitalization rates for prescription opioid overdose were 20% to 30% higher in rural populations compared with large urban populations between 2007 and 2012, before declining in rural populations in 2013 and 2014. The proportion of rural patients admitted for overdose who are cared for in urban hospitals increased from 23.1% in 2007 to 41.2% in 2014. These trends are clinically relevant as rural patients and urban patients may have different discharge needs.

Implementing smoking cessation guidelines for hospitalized Veterans: Cessation results from the VA-BEST trial.

PURPOSE: To examine the impact of a nurse-initiated tobacco cessation intervention focused on providing guideline-recommended care to hospitalized smokers. DESIGN: Pre-post quasi-experimental trial. SETTING: General medical units of four US Department of Veterans Affairs hospitals. SUBJECTS: 898 adult Veteran smokers (503 and 395 were enrolled in the baseline and intervention periods, respectively). INTERVENTION: The intervention included academic detailing, adaptation of the computerized medical record, patient self-management support, and organizational support and feedback. MEASURES: The primary outcome was self-reported 7-day point prevalence abstinence at six months. ANALYSIS: Tobacco use was compared for the pre-intervention and intervention periods with multivariable logistic regression using generalized estimating equations to account for clustering at the nurse level. Predictors of abstinence at six months were investigated with best subsets regression. RESULTS: Seven-day point prevalence abstinence during the intervention period did not differ significantly from the pre-intervention period at either three (adjusted odds ratio (AOR) and 95% confidence interval (CI95)=0.78 [0.51-1.18]) or six months (AOR=0.92; CI95=0.62-1.37). Predictors of abstinence included baseline self-efficacy for refraining from smoking when experiencing negative affect (p=0.0004) and perceived likelihood of staying off cigarettes following discharge (p<0.0001). CONCLUSIONS: Tobacco use interventions in the VA inpatient setting likely require more substantial changes in clinician behavior and enhanced post-discharge follow-up to improve cessation outcomes.

Residential proximity to large numbers of swine in feeding operations is associated with increased risk of methicillin-resistant Staphylococcus aureus colonization at time of hospital admission in rural Iowa veterans.

Among 1,036 patients, residential proximity within 1 mile of large swine facilities was associated with nearly double the risk of methicillin-resistant Staphylococcus aureus (MRSA) colonization at admission (relative risk, 1.8786 [95% confidence interval, 1.0928-3.2289]; P = .0239) and, after controlling for multiple admissions and age, was associated with nearly triple the odds of MRSA colonization (odds ratio, 2.76 [95% confidence interval, 1.2728-5.9875]; P = .0101).

Does improved continuity of primary care affect clinician-patient communication in VA?

BACKGROUND: Recent changes in health care delivery may reduce continuity with the patient's primary care provider (PCP). Little is known about the association between continuity and quality of communication during ongoing efforts to redesign primary care in the Veterans Administration (VA). OBJECTIVE: To evaluate the association between longitudinal continuity of care (COC) with the same PCP and ratings of patient-provider communication during the Patient Aligned Care Team (PACT) initiative. DESIGN: Cross-sectional survey. PARTICIPANTS: Four thousand three hundred ninety-three VA outpatients who were assigned to a PCP, had at least three primary care visits to physicians or physician extenders during Fiscal Years 2009 and 2010 (combined), and who completed the Survey of Healthcare Experiences of Patients (SHEP) following a primary care visit in Fiscal Year (FY)2011. MAIN MEASURES: Usual Provider of Continuity (UPC), Modified Modified Continuity Index (MMCI), and duration of PCP care were calculated for each primary care patient. UPC and MMCI values were categorized as follows: 1.0 (perfect), 0.75-0.99 (high), 0.50-0.74 (intermediate), and < 0.50 (low). Quality of communication was measured using the four-item Consumer Assessment of Healthcare Providers and Systems-Health Plan program (CAHPS-HP) communication subscale and a two-item measure of shared decision-making (SDM). Excellent care was defined using an "all-or-none" scoring strategy (i.e., when all items within a scale were rated "always"). KEY RESULTS: UPC and MMCI continuity remained high (0.81) during the early phase of PACT implementation. In multivariable models, low MMCI continuity was associated with decreased odds of excellent communication (OR = 0.74, 95 % CI = 0.58-0.95) and SDM (OR = 0.70, 95 % CI = 0.49, 0.99). Abbreviated duration of PCP care (< 1 year) was also associated with decreased odds of excellent communication (OR = 0.35, 95 % CI = 0.18, 0.71). CONCLUSIONS: Reduced PCP continuity may significantly decrease the quality of patient-provider communication in VA primary care. By improving longitudinal continuity with the assigned PCP, while redesigning team-based roles, the PACT initiative has the potential to improve patient-provider communication.