Inpatient stroke care quality for veterans: are there differences between Veterans Affairs medical centers in the stroke belt and other areas?

BACKGROUND: Stroke mortality has been found to be much higher among residents in the stroke belt region than in the rest of United States, but it is not known whether differences exist in the quality of stroke care provided in Department of Veterans Affairs medical centers in states inside and outside this region. OBJECTIVE: We compared mortality and inpatient stroke care quality between Veterans Affairs medical centers inside and outside the stroke belt region. METHODS: Study patients were veterans hospitalized for ischemic stroke at 129 Veterans Affairs medical centers. Inpatient stroke care quality was assessed by 14 quality indicators. Multivariable logistic regression models were fit to examine differences in quality between facilities inside and outside the stroke belt, adjusting for patient characteristics and Veterans Affairs medical centers clustering effect. RESULTS: Among the 3909 patients, 28·1% received inpatient ischemic stroke care in 28 stroke belt Veterans Affairs medical centers, and 71·9% obtained care in 101 non-stroke belt Veterans Affairs medical centers. Patients cared for in stroke belt Veterans Affairs medical centers were more likely to be younger, Black, married, have a higher stroke severity, and less likely to be ambulatory pre-stroke. We found no statistically significant differences in short- and long-term post-admission mortality and inpatient care quality indicators between the patients cared for in stroke belt and non-stroke belt Veterans Affairs medical centers after risk adjustment. CONCLUSIONS: These data suggest that a stroke belt does not exist within the Veterans Affairs health care system in terms of either post-admission mortality or inpatient care quality.

Validating electronic cancer quality measures at Veterans Health Administration.

OBJECTIVES: To assess the feasibility and validity of developing electronic clinical quality measures (eCQMs) of cancer care quality from existing metrics, using electronic health records, administrative, and cancer registry data. STUDY DESIGN: Retrospective comparison of quality indicators using chart abstracted versus electronically available data from multiple sources. METHODS: We compared the sensitivity and specificity of eCQMs created from structured data from electronic health records (EHRs) linked to administrative and cancer registry data to data abstracted from patients' electronic health records. Twenty-nine measures of care were assessed in 15,394 patients with either incident lung or prostate cancer from 2007 and 2008, respectively, and who were treated in the Veteran's Health Administration (VHA). RESULTS: It was feasible to develop eCQMs for 11 of 18 (61%) lung cancer measures, 4 (22%) of which were considered to be valid measures of the care constructs. Among prostate cancer measures, 6 of 11 (55%) were feasible, and 4 (36%) were both feasible and valid. Of the 29 metrics, data was available to create eCQMs for 17 (59%) cancer care metrics, and 8 (28%) were considered valid. CONCLUSIONS: In a large integrated healthcare system with nationally standardized electronic health records, administrative, and cancer registry data, 28% of cancer quality measures developed for chart abstraction could be translated into valid eCQMs. These results raise much concern about the development of electronic clinical quality measures for cancer care, particularly in healthcare environments where data are disparate in both form and location.

Facility characteristics and quality of lung cancer care in an integrated health care system.

INTRODUCTION: In a national, integrated health care system, we sought to identify facility-level attributes associated with better quality of lung cancer care. METHODS: Adherence to 23 quality indicators across four domains (Diagnosis and Staging, Treatment, Supportive Care, End-of-Life Care) was assessed through abstraction of electronic records from 4804 lung cancer patients diagnosed in 2007 at 131 Veterans Health Administration facilities. Performance was reported as proportions of eligible patients fulfilling adherence criteria. With stratification of patients by stage, generalized estimating equations identified facility-level characteristics associated with performance by domain. RESULTS: Overall performance was high for the older (mean age 67.7 years, SD 9.4 years), predominantly male (98%) veterans. However, no facility did well on every measure, and range of adherence across facilities was large; 9% of facilities were in the highest quartile for one or more domain of care, more than 30% for two, and 65% for three. No facility performed consistently well across all domains. Less than 1% performed in the lowest quartile for all. Few facility-level characteristics were associated with care quality. For End-of-Life Care, diagnosis and treatment within the same facility, availability of cancer psychiatry/psychology consultation services, and availability of both inpatient and outpatient palliative care consultation services were associated with better adherence. CONCLUSIONS: Quality of Veterans Health Administration lung cancer care is generally high, though substantial variation exists across facilities. With the exception of the salutary impact of palliative care consultation services on end-of-life quality of care, observed facility-level characteristics did not consistently predict adherence to indicators, suggesting quality may be determined by complex local factors that are difficult to measure.

Quality of supportive care for patients with advanced lung cancer in the Veterans Health Administration.

BACKGROUND: Morbidity related to cancer and its treatment remains a significant source of human suffering and a challenge to the delivery of high-quality care. OBJECTIVES: To develop and apply quality indicators to evaluate quality of supportive care for advanced lung cancer in the Veterans Health Administration (VHA) and examine facility-level predictors of quality. METHODS: We evaluated supportive care quality using 12 quality indicators. Data were taken from VHA electronic health records for incident lung cancer cases occurring during 2007. Organizational characteristics of 111 VHA facilities were examined for association with receipt of care. LIMITATIONS: Not all supportive care was evaluated. Care processes identified as present at facilities may not have been applied to cohort patients. Facility-level results may be influenced by errors in attributing a patient's care to the correct facility. CONCLUSIONS: Quality indicators for supportive cancer care can be developed and applied in large evaluations using electronic health record review. This study confirmed high-quality supportive care, while identifying significant facility-level variation in VHA.

Patient preference and contraindications in measuring quality of care: what do administrative data miss?

PURPOSE: Prior studies report that half of patients with lung cancer do not receive guideline-concordant care. With data from a national Veterans Health Administration (VHA) study on quality of care, we sought to determine what proportion of patients refused or had a contraindication to recommended lung cancer therapy. PATIENTS AND METHODS: Through medical record abstraction, we evaluated adherence to six quality indicators addressing lung cancer-directed therapy for patients diagnosed within the VHA during 2007 and calculated the proportion of patients receiving, refusing, or having contraindications to recommended treatment. RESULTS: Mean age of the predominantly male population was 67.7 years (standard deviation, 9.4 years), and 15% were black. Adherence to quality indicators ranged from 81% for adjuvant chemotherapy to 98% for curative resection; however, many patients met quality indicator criteria without actually receiving recommended therapy by having a refusal (0% to 14%) or contraindication (1% to 30%) documented. Less than 1% of patients refused palliative chemotherapy. Black patients were more likely to refuse or bear a contraindication to surgery even when controlling for comorbidity; race was not associated with refusals or contraindications to other treatments. CONCLUSION: Refusals and contraindications are common and may account for previously demonstrated low rates of recommended lung cancer therapy performance at the VHA. Racial disparities in treatment may be explained, in part, by such factors. These results sound a cautionary note for quality measurement that depends on data that do not reflect patient preference or contraindications in conditions where such considerations are important.

Postdischarge quality of care: do age disparities exist among Department of Veterans Affairs ischemic stroke patients?

This study examined whether age disparities existed across postdischarge quality indicators (QIs) for veterans with ischemic stroke who received care at Department of Veterans Affairs medical centers (VAMCs). This retrospective cohort included a national sample of 3,196 veterans who were diagnosed with ischemic stroke and received acute and postdischarge stroke care at 127 VAMCs in fiscal year 2007 (10/1/06 through 9/30/07). Data included an assessment of postdischarge stroke QIs in the outpatient setting during the 6 mo postdischarge. The QIs included measurement of and goal achievement for (1) blood pressure, (2) serum international normalized ratio (INR) for all patients discharged on warfarin, (3) cholesterol (low-density lipoprotein [LDL]) levels, (4) serum glycosylated hemoglobin, and (5) depression treatment. The mean age for the 3,196 veterans included in this study was 67.2 +/- 11.3 yr. Before risk adjustment, there were age differences in (1) depression screening/treatment, (2) blood pressure goals, and (3) LDL levels. After we adjusted for patient sociodemographic, clinical, and facility-level characteristics by using hierarchical linear mixed modeling, none of these differences remained significant but INR goals for patients discharged on warfarin differed significantly by age. After we adjusted for patient and facility characteristics, fewer age differences were found in the postdischarge stroke QIs. Clinical trial registration was not required.

Using NCCN clinical practice guidelines in oncology to measure the quality of colorectal cancer care in the veterans health administration.

Clinical practice guidelines can be used to help develop measures of quality of cancer care. This article describes the use of a Cancer Care Quality Measurement System (CCQMS) to monitor these measures for colorectal cancer in the Veterans Health Administration (VHA). The CCQMS assessed practice guideline concordance primarily based on colon (14 indicators) and rectal (11 indicators) cancer care guidelines of the NCCN. Indicators were developed with input from VHA stakeholders with the goal of examining the continuum of diagnosis, neoadjuvant therapy, surgery, adjuvant therapy, and survivorship surveillance and/or end-of-life care. In addition, 9 measures of timeliness of cancer care were developed. The measures/indicators formed the basis of a computerized data abstraction tool that produced reports on quality of care in real-time as data were entered. The tool was developed for a 28-facility learning collaborative, the Colorectal Cancer Care Collaborative (C4), aimed at improving colorectal cancer (CRC) care quality. Data on 1373 incident stage I-IV CRC cases were entered over approximately 18 months and were used to target and monitor quality improvement activities. The primary opportunity for improvement involved surveillance colonoscopy and services in patients after curative-intent treatment. NCCN Clinical Practice Guidelines in Oncology were successfully used to develop a measurement system for a VHA research-operations quality improvement partnership.

Colorectal cancer diagnosis improvement project evaluation demonstrates the importance of using multiple measures to track progress toward timeliness goals.

Using data from an improvement collaborative, we examined whether facility-specific conclusions regarding the success of efforts to improve timely access could vary depending on the type of measure used. The sample was drawn from 21 Veterans Health Administration (VHA) medical facilities participating in a collaborative on timely diagnostic evaluation following positive fecal occult blood tests (FOBT+). We identified FOBT+ cases from participating facilities between September 2004 and August 2005 (precollaborative), and September 2006-August 2007 (postcollaborative). Dates of FOBT+ results, colonoscopy, and death were extracted from VHA medical records. We estimated the cumulative proportion receiving colonoscopy within 2 months of the FOBT+ (target measure established by collaborative), and compared facility-specific results regarding improvement on this measure to results from measures of the cumulative proportion receiving colonoscopy within 12 months, and average time-to-colonoscopy. In 12 facilities (57%), all measures suggested consistent results regarding pre-post collaborative changes in colonoscopy rates. In four facilities (19%), the target measure suggested less favorable change, and in five (24%), more favorable change than one or both other measures. Because conclusions drawn about the success of QI efforts can vary by the measure used, multiple measures should be employed to track progress toward timeliness goals.

Does the inclusion of stroke severity in a 30-day mortality model change standardized mortality rates at Veterans Affairs hospitals?

BACKGROUND: The Centers for Medicare and Medicaid Services is considering developing a 30-day ischemic stroke hospital-level mortality model using administrative data. We examined whether inclusion of the National Institutes of Health Stroke Scale (NIHSS), a measure of stroke severity not included in administrative data, would alter 30-day mortality rates in the Veterans Health Administration. METHODS AND RESULTS: A total of 2562 veterans admitted with ischemic stroke to 64 Veterans Health Administration Hospitals in the fiscal year 2007 were included. First, we examined the distribution of unadjusted mortality rates across the Veterans Health Administration. Second, we estimated 30-day all-cause, risk standardized mortality rates (RSMRs) for each hospital by adjusting for age, sex, and comorbid conditions using hierarchical models with and without the inclusion of the NIHSS. Finally, we examined whether adjustment for the NIHSS significantly changed RSMRs for each hospital compared with other hospitals. The median unadjusted mortality rate was 3.6%. The RSMR interquartile range without the NIHSS ranged from 5.1% to 5.6%. Adjustment with the NIHSS did not change the RSMR interquartile range (5.1%-5.6%). Among veterans ≥65 years, the RSMR interquartile range without the NIHSS ranged from 9.2% to 10.3%. With adjustment for the NIHSS, the RSMR interquartile range changed from 9.4% to 10.0%. The plot of 30-day RSMRs estimated with and without the inclusion of the NIHSS in the model demonstrated overlapping 95% confidence intervals across all hospitals, with no hospital significantly below or above the mean-unadjusted 30-day mortality rate. The 30-day mortality measure did not discriminate well among hospitals. CONCLUSIONS: The impact of the NIHSS on RSMRs was limited. The small number of stroke admissions and the narrow range of 30-day stroke mortality rates at the facility level in the Veterans Health Administration cast doubt on the value of using 30-day RSMRs as a means of identifying outlier hospitals based on their stroke care quality.

Lower use of carotid artery imaging at minority-serving hospitals.

OBJECTIVE: We determined whether site of care explains a previously identified racial disparity in carotid artery imaging. METHODS: In this retrospective cohort study, data were obtained from a chart review of veterans hospitalized with ischemic stroke at 127 Veterans Administration hospitals in 2007. Extensive exclusion criteria were applied to obtain a sample who should have received carotid artery imaging. Minority-serving hospitals were defined as the top 10% of hospitals ranked by the proportion of stroke patients who were black. Population level multivariate logistic regression models with adjustment for correlation of patients in hospitals were used to calculate predictive probabilities of carotid artery imaging by race and minority-service hospital status. Bootstrapping was used to obtain 95% confidence intervals (CIs). RESULTS: The sample consisted of 1,534 white patients and 628 black patients. Nearly 40% of all black patients were admitted to 1 of 13 minority-serving hospitals. No racial disparity in receipt of carotid artery imaging was detected within nonminority serving hospitals. However, the predicted probability of receiving carotid artery imaging for white patients at nonminority-serving hospitals (89.7%, 95% CI [87.3%, 92.1%]) was significantly higher than both white patients (78.0% [68.3%, 87.8%] and black patients (70.5% [59.3%, 81.6%]) at minority-serving hospitals. CONCLUSIONS: Underuse of carotid artery imaging occurred most often among patients hospitalized at minority-serving hospitals. Further work is required to explore why site of care is a mechanism for racial disparities in this clinically important diagnostic test.

Does inpatient quality of care differ by age among US veterans with ischemic stroke?

BACKGROUND: Some studies have found that older individuals are not as likely as their younger counterparts to be treated with some guideline-based stroke therapies. We examined whether age-related differences in inpatient quality of care exist among US veterans with ischemic stroke. METHODS: This was a retrospective study of a national sample of veterans admitted to 129 Veterans Affairs medical centers for ischemic stroke during fiscal year 2007. Inpatient stroke care quality was examined across 14 inpatient processes of care, including dysphagia screening, National Institutes of Health Stroke Scale (NIHSS) score documentation, thrombolysis, deep venous thrombosis prophylaxis, antithrombotic therapy by hospital day 2 and at discharge, early ambulation, fall risk assessment, pressure ulcer risk assessment, rehabilitation needs assessment, atrial fibrillation management, lipid management, smoking cessation counseling, and stroke education. RESULTS: Among the 3939 veterans with ischemic stroke, the mean age was 67.8 years (standard deviation, 11.5). The overall performance rate was >70% for 10 of the 14 quality indicators. In unadjusted analyses, older patients were less likely to receive lipid management, smoking cessation, NIHSS documentation, and early ambulation compared with younger patients; conversely, older patients were more likely to receive dysphagia screening and stroke education. After adjusting for demographic, clinical, and hospital level characteristics, the age-related differences in processes of care were less consistent; however, the youngest patients were more likely to receive smoking cessation counseling and the oldest patients were less likely to receive lipid management. CONCLUSIONS: Risk-adjusted inpatient stroke care quality varies little with age for veterans admitted to a Veterans Affairs medical center for acute ischemic stroke.

The use and misuse of thrombolytic therapy within the Veterans Health Administration.

BACKGROUND: Within the Veterans Health Administration (VHA), approximately 6000 veterans are hospitalized with acute ischemic stroke annually. We examined the use and misuse of thrombolytic therapy with tissue plasminogen activator (tPA) in a national sample of veterans who were admitted to a VHA Medical Center (VAMC) with acute ischemic stroke. METHODS: Medical record reviews were conducted on 5000 acute stroke patients who were admitted to a VAMC in 2007. Patients were defined as eligible to receive tPA if they arrived at the hospital within 3 hours of stroke symptom onset and had no contraindications to tPA. We compared eligible patients who received tPA to those who did not and examined the distribution of eligible patients across the 129 VAMCs included in this study. RESULTS: Among the 3931 ischemic stroke patients, 174 (4.4%) were eligible for tPA. Among the 135 patients who arrived within 2 hours of symptom onset which allowed adequate time for testing and evaluation, 19 (14.1%) received tPA. An additional 11 patients received tPA but did not meet eligibility criteria. Eligible patients receiving tPA were similar to eligible patients not receiving tPA in terms of clinical conditions and time to brain imaging. Among the 30 patients that received tPA, 5 (16.6%) received the wrong dose. Among the 85 VAMCs that received ≥1 eligible patient, on average 2.3 patients were eligible for tPA annually. CONCLUSIONS: Relatively few eligible veterans receive thrombolysis across the VHA system. Strategies to improve thrombolysis delivery will have to account for the low annual volume of eligible stroke patients cared for at individual VAMCs.

Estimating and reporting on the quality of inpatient stroke care by Veterans Health Administration Medical Centers.

BACKGROUND: Reporting of quality indicators (QIs) in Veterans Health Administration Medical Centers is complicated by estimation error caused by small numbers of eligible patients per facility. We applied multilevel modeling and empirical Bayes (EB) estimation in addressing this issue in performance reporting of stroke care quality in the Medical Centers. METHODS AND RESULTS: We studied a retrospective cohort of 3812 veterans admitted to 106 Medical Centers with ischemic stroke during fiscal year 2007. The median number of study patients per facility was 34 (range, 12-105). Inpatient stroke care quality was measured with 13 evidence-based QIs. Eligible patients could either pass or fail each indicator. Multilevel modeling of a patient's pass/fail on individual QIs was used to produce facility-level EB-estimated QI pass rates and confidence intervals. The EB estimation reduced interfacility variation in QI rates. Small facilities and those with exceptionally high or low rates were most affected. We recommended 8 of the 13 QIs for performance reporting: dysphagia screening, National Institutes of Health Stroke Scale documentation, early ambulation, fall risk assessment, pressure ulcer risk assessment, Functional Independence Measure documentation, lipid management, and deep vein thrombosis prophylaxis. These QIs displayed sufficient variation across facilities, had room for improvement, and identified sites with performance that was significantly above or below the population average. The remaining 5 QIs were not recommended because of too few eligible patients or high pass rates with little variation. CONCLUSIONS: Considerations of statistical uncertainty should inform the choice of QIs and their application to performance reporting.

Correlation of inpatient and outpatient measures of stroke care quality within veterans health administration hospitals.

BACKGROUND AND PURPOSE: Quality of care delivered in the inpatient and ambulatory settings may be correlated within an integrated health system such as the Veterans Health Administration. We examined the correlation between stroke care quality at hospital discharge and within 6 months postdischarge. METHODS: We conducted a cross-sectional hospital-level correlation analyses of chart-abstracted data for 3467 veterans discharged alive after an acute ischemic stroke from 108 Veterans Health Administration medical centers and 2380 veterans with postdischarge follow-up within 6 months in fiscal year 2007. Four risk-standardized processes of care represented discharge care quality: prescription of antithrombotic and antilipidmic therapy, anticoagulation for atrial fibrillation, and tobacco cessation counseling along with a composite measure of defect-free care. Five risk-standardized intermediate outcomes represented postdischarge care quality: achievement of blood pressure, low-density lipoprotein, international normalized ratio, and glycosylated hemoglobin target levels, and delivery of appropriate treatment for poststroke depression along with a composite measure of achieved outcomes. RESULTS: Median risk-standardized composite rate of defect-free care at discharge was 79%. Median risk-standardized postdischarge rates of achieving goal were 56% for blood pressure, 36% for low-density lipoprotein, 41% for international normalized ratio, 40% for glycosylated hemoglobin, and 39% for depression management and the median risk-standardized composite 6-month outcome rate was 44%. The hospital composite rate of defect-free care at discharge was correlated with meeting the low-density lipoprotein goal (r=0.31; P=0.007) and depression management (r=0.27; P=0.03) goal but was not correlated with blood pressure, international normalized ratio, glycosylated hemoglobin goals, nor with the composite measure of achieved postdischarge outcomes (probability values >0.13). CONCLUSIONS: Hospital discharge care quality was not consistently correlated with ambulatory care quality.

Evaluation of a VHA collaborative to improve follow-up after a positive colorectal cancer screening test.

BACKGROUND: In 2005, the Veterans Health Administration initiated a yearlong Colorectal Cancer Care Collaborative (C4) to improve timely follow-up after positive fecal occult blood tests. METHODS: Twenty-one facilities formed local quality improvement (QI) teams. Teams received QI training, created process flow maps, implemented process changes, and shared learning through 2 face-to-face meetings, conference calls, and a discussion board. We evaluated pre-post change in the timeliness of follow-up among C4 facilities and 3 control facilities. Outcome measures included the proportion of patients receiving a follow-up colonoscopy within 1 year, the proportion receiving 60-day follow-up (the focus of C4 teams), and average days to colonoscopy. Survey data from C4 team members was analyzed to identify predictors of facility-level improvement. RESULTS: Both C4 and control facilities improved on 1-year follow-up (10% and 9% increases, respectively, both P's<0.001). There was a statistically significant increase in the proportion receiving 60-day follow-up among C4 facilities (27% pre-C4 vs. 39% post-C4, P=0.008) but a nonsignificant decrease among control facilities (45% pre-C4 vs. 29% post-C4, P=0.14). Average days to colonoscopy decreased significantly among C4 facilities (129 pre-C4 vs. 103 post-C4, P=0.004) but increased significantly among control facilities (81 pre-C4 vs. 103 post-C4, P=0.04). Teams with the most improvement established clear roles/goals, had previous QI training, made more use of QI tools, and incorporated primary care education into their improvement work. CONCLUSIONS: A Veterans Health Administration improvement collaborative modestly decreased time to colonoscopy after a positive colorectal cancer screening test but significant room for improvement remains and benefits of participation were not realized by all facilities.

Prevalence of inadequate blood pressure control among veterans after acute ischemic stroke hospitalization: a retrospective cohort.

BACKGROUND: Reducing blood pressure (BP) after stroke reduces risk for recurrent events. Our aim was to describe hypertension care among veterans with ischemic stroke including BP control by discharge and over the 6 months after the stroke event. METHODS AND RESULTS: The Office of Quality and Performance Stroke Special Study included a systematic sample of veterans hospitalized for ischemic stroke in 2007. We examined BP control (<140/90 mm Hg) at discharge excluding those who died, enrolled in hospice, or had unknown discharge disposition (n=3640, n=3382 adjusted analysis). The second outcome was BP control (<140/90 mm Hg) within 6-months after stroke, excluding patients who died/readmitted within 30 days, were lost to follow-up, or did not have a BP recorded (n=2054, n=1915 adjusted analysis). The population was 62.7% white and 97.7% men; 46.9% were <65 years of age; and 29% and 37% had a history of cerebrovascular or cardiovascular disease, respectively. Among the 3640 stroke patients, 1573 (43%) had their last documented BP before discharge as >140/90 mm Hg. Black race (adjusted odds ratio, 0.77; 95% confidence interval, 0.65 to 0.91), diabetes (odds ratio, 0.73; 95% confidence interval, 0.62 to 0.86), and hypertension history (odds ratio, 0.51; 95% confidence interval, 0.42 to 0.63) were associated with lower odds for controlled BP at discharge. Of the 2054 stroke patients seen within 6 months from their index event, 673 (32.8%) remained uncontrolled. By 6 months after the event, neither race nor diabetes was associated with BP control, whereas history of hypertension continued to have lower odds of BP control. For each 10-point increase in systolic BP >140 mm Hg at discharge, odds of BP control within 6 months after discharge decreased by 12% (95% confidence interval [8%, 18%]). CONCLUSIONS: BP values in excess of national guidelines are common after stroke. Forty-three percent of patients were discharged with an elevated BP, and 33% remained uncontrolled by 6 months.

Quality of nonmetastatic colorectal cancer care in the Department of Veterans Affairs.

PURPOSE: The Veterans Affairs (VA) healthcare system treats approximately 3% of patients with cancer in the United States each year. We measured the quality of nonmetastatic colorectal cancer (CRC) care in VA as indicated by concordance with National Comprehensive Cancer Network practice guidelines (six indicators) and timeliness of care (three indicators). PATIENTS AND METHODS: A retrospective medical record abstraction was done for 2,492 patients with incident stages I to III CRC diagnosed between October 1, 2003, and March 31, 2006, who underwent definitive CRC surgery. Patients were treated at one or more of 128 VA medical centers. The proportion of patients receiving guideline-concordant care and time intervals between care processes were calculated. RESULTS: More than 80% of patients had preoperative carcinoembryonic antigen determination (ie, stages II to III disease) and documented clear surgical margins (ie, stages II to III disease). Between 72% and 80% of patients had appropriate referral to a medical oncologist (ie, stages II to III disease), preoperative computed tomography scan of the abdomen and pelvis (ie, stages II to III disease), and adjuvant fluorouracil-based chemotherapy (ie, stage III disease). Less than half of patients with stages I to III CRC (43.5%) had a follow-up colonoscopy 7 to 18 months after surgery. The mean number of days between major treatment events included the following: 26.6 days (standard deviation [SD], 38.2; median, 20 days) between diagnosis and initiation of treatment (in stages II to III disease); 64.8 [corrected] days (SD, 54.9; median, 50 days) between definitive surgery and start of adjuvant chemotherapy (in stages II to III disease); and 444.2 [corrected] days (SD, 182.1; median, 393 days) between definitive surgery and follow-up colonoscopies (in stages I to III disease). CONCLUSION: Although there is opportunity for improvement in the area of cancer surveillance, the VA performs well in meeting established guidelines for diagnosis and treatment of CRC.

Developing and sustaining quality improvement partnerships in the VA: the Colorectal Cancer Care Collaborative.

OBJECTIVE: The Veterans Affairs (VA) Quality Enhancement Research Initiative (QUERI) seeks to develop partnerships between VA health services researchers and clinical managers, with the goal of designing and evaluating interventions to improve the quality of VA health care. METHODS: In the present report we describe one such initiative aimed at enhancing the continuum of colorectal cancer (CRC) care, including diagnosis, treatment and surveillance-the Colorectal Cancer Care Collaborative (C4). RESULTS: We describe the process and thinking that led to two parallel quality improvement "collaboratives" that addressed (1) CRC screening and diagnostic follow-up and (2) the guideline concordance and timeliness of CRC treatment. Additionally, we discuss ongoing effort to spread lessons learned during the first stages of the project, which initially occurred at only a subset of VA facilities, throughout the VA health care system. The description of this initiative is organized around key questions that must be answered when developing, sustaining and spreading multi-component quality improvement interventions. CONCLUSION: We conclude with a discussion of lessons learned that we believe would apply to similar initiatives elsewhere, even if they address different clinical issues in health care settings with different organizational structures.

Timely follow-up of positive fecal occult blood tests strategies associated with improvement.

BACKGROUND: In light of previous research indicating that many patients fail to receive timely diagnostic follow-up of positive colorectal cancer (CRC) screening tests, the Veterans Health Administration (VA) initiated a national CRC diagnosis quality-improvement (QI) effort. PURPOSE: This article documents the percent of patients receiving follow-up within 60 days of a positive CRC screening fecal occult blood test (FOBT) and identifies improvement strategies that predict timely follow-up. METHODS: In 2007, VA facilities completed a survey in which they indicated the degree to which they had implemented a series of improvement strategies and described barriers to improvement. Three types of strategies were assessed: developing QI infrastructure, improving care delivery processes, and building gastroenterology capacity. Survey data were merged with a measure of 60-day positive-FOBT follow-up. Facility-level predictors of timely follow-up were identified and relationships among categories of improvement strategies were assessed. Data were analyzed in 2008. RESULTS: The median facility-reported 60-day follow-up rate for positive screening FOBTs was 24.5%. Several strategies were associated with timeliness of follow-up. The relationship between the implementation of QI infrastructure strategies and timely follow-up was mediated by the implementation of process-change strategies. Although constraints on gastroenterology capacity were often sited as a key barrier, implementation of strategies to address this issue was unassociated with timely follow-up. CONCLUSIONS: Developing QI infrastructure appears to be an effective strategy for improving FOBT follow-up when this work is followed by process improvements. Increasing gastroenterology capacity may be more difficult than improving processes of care.

Hospital characteristics associated with timeliness of care in veterans with lung cancer.

RATIONALE: Timeliness is one of six important dimensions of health care quality recognized by the Institute of Medicine. OBJECTIVES: To evaluate timeliness of lung cancer care and identify institutional characteristics associated with timely care within the Veterans Affairs (VA) health care system. METHODS: We used data from a VA nation-wide retrospective chart review and an independent audit of VA cancer programs to examine the association between time to first treatment and potentially explanatory institutional characteristics (e.g., volume of lung cancer patients) for 2,372 veterans diagnosed with lung cancer between 1 January 2002 and 1 September 2005 at 127 VA medical centers. We developed linear mixed effects models to control for clustering of patients within hospitals and we stratified analyses by stage. MEASUREMENTS AND MAIN RESULTS: Median time to treatment varied widely between (23 to 182 d) and within facilities. Median time to treatment was 90 days in patients with stage I or II cancer and 52 days in those with more advanced disease (P < 0.0001). Factors associated with shorter times to treatment included a nonacademic setting and the existence of a specialized diagnostic clinic (in patients with limited-stage disease), performing a patient flow analysis (in patients with advanced disease), and leadership beliefs about providing timely care (in both groups). However, institutional characteristics explained less than 1% of the observed variation in treatment times. CONCLUSIONS: Time to lung cancer treatment in U.S. veterans is highly variable. The numerous institutional characteristics we examined explained relatively little of this variability, suggesting that patient, clinician, and/or unmeasured institutional characteristics may be more important determinants of timely care.