Results of a Regional Effort to Improve Warfarin Management.

BACKGROUND: Improved anticoagulation control with warfarin reduces adverse events and represents a target for quality improvement. No previous study has described an effort to improve anticoagulation control across a health system. OBJECTIVE: To describe the results of an effort to improve anticoagulation control in the New England region of the Veterans Health Administration (VA). METHODS: Our intervention encompassed 8 VA sites managing warfarin for more than 5000 patients in New England (Veterans Integrated Service Network 1 [VISN 1]). We provided sites with a system to measure processes of care, along with targeted audit and feedback. We focused on processes of care associated with site-level anticoagulation control, including prompt follow-up after out-of-range international normalized ratio (INR) values, minimizing loss to follow-up, and use of guideline-concordant INR target ranges. We used a difference-in-differences (DID) model to examine changes in anticoagulation control, measured as percentage time in therapeutic range (TTR), as well as process measures and compared VISN 1 sites with 116 VA sites located outside VISN 1. RESULTS: VISN 1 sites improved on TTR, our main indicator of quality, from 66.4% to 69.2%, whereas sites outside VISN 1 improved from 65.9% to 66.4% (DID 2.3%, P < 0.001). Improvement in TTR correlated strongly with the extent of improvement on process-of-care measures, which varied widely across VISN 1 sites. CONCLUSIONS: A regional quality improvement initiative, using performance measurement with audit and feedback, improved TTR by 2.3% more than control sites, which is a clinically important difference. Improving relevant processes of care can improve outcomes for patients receiving warfarin.

Medical and surgical readmissions in the Veterans Health Administration: what proportion are related to the index hospitalization?

BACKGROUND: Readmissions are an attractive quality measure because they offer a broad view of quality beyond the index hospitalization. However, the extent to which medical or surgical readmissions reflect quality of care is largely unknown, because of the complexity of factors related to readmission. Identifying those readmissions that are clinically related to the index hospitalization is an important first step in closing this knowledge gap. OBJECTIVES: The aims of this study were to examine unplanned readmissions in the Veterans Health Administration, identify clinically related versus unrelated unplanned readmissions, and compare the leading reasons for unplanned readmission between medical and surgical discharges. METHODS: We classified 2,069,804 Veterans Health Administration hospital discharges (Fiscal Years 2003-2007) into medical/surgical index discharges with/without readmissions per their diagnosis-related groups. Our outcome variable was "all-cause" 30-day unplanned readmission. We compared medical and surgical unplanned readmissions (n=217,767) on demographics, clinical characteristics, and readmission reasons using descriptive statistics. RESULTS: Among all unplanned readmissions, 41.5% were identified as clinically related. Not surprisingly, heart failure (10.2%) and chronic obstructive pulmonary disease (6.5%) were the top 2 reasons for clinically related readmissions among medical discharges; postoperative complications (ie, complications of surgical procedures and medical care or complications of devices) accounted for 70.5% of clinically related readmissions among surgical discharges. CONCLUSIONS: Although almost 42% of unplanned readmissions were identified as clinically related, the majority of unplanned readmissions were unrelated to the index hospitalization. Quality improvement interventions targeted at processes of care associated with the index hospitalization are likely to be most effective in reducing clinically related readmissions. It is less clear how to reduce nonclinically related readmissions; these may involve broader factors than inpatient care.

Quality improvement lessons learned from National Implementation of the "Patient Safety Events in Community Care: Reporting, Investigation, and Improvement Guidebook".

OBJECTIVE: To evaluate nationwide implementation of a Guidebook designed to standardize safety practices across VA-delivered and VA-purchased care (i.e., Community Care) and identify lessons learned and strategies to improve them. DATA SOURCES AND STUDY SETTING: Qualitative data collected from key informants at 18 geographically diverse VA facilities across 17 Veterans Integrated Services Networks (VISNs). STUDY DESIGN: We conducted semi-structured interviews from 2019 to 2022 with VISN Patient Safety Officers (PSOs) and VA facility patient safety and quality managers (PSMs and QMs) and VA Facility Community Care (CC) staff to assess lessons learned by examining organizational contextual factors affecting Guidebook implementation based on the Consolidated Framework for Implementation Research (CFIR). DATA COLLECTION/EXTRACTION METHODS: Interviews were conducted virtually with 45 facility staff and 10 VISN PSOs. Using directed content analysis, we identified CFIR factors affecting implementation. These factors were mapped to the Expert Recommendations for Implementing Change (ERIC) strategy compilation to identify lessons learned that could be useful to our operational partners in improving implementation processes. We met frequently with our partners to discuss findings and plan next steps. PRINCIPAL FINDINGS: Six CFIR constructs were identified as both facilitators and barriers to Guidebook implementation: (1) planning for implementation; (2) engaging key knowledge holders; (3) available resources; (4) networks and communications; (5) culture; and (6) external policies. The two CFIR constructs that were only barriers included: (1) cosmopolitanism and (2) executing implementation. CONCLUSIONS: Our findings suggest several important lessons: (1) engage all collaborators involved in implementation; (2) ensure end-users have opportunities to provide feedback; (3) describe collaborators' purpose and roles/responsibilities clearly at the start; (4) communicate information widely and repeatedly; and (5) identify how multiple high priorities can be synergistic. This evaluation will help our partners and key VA leadership to determine next steps and future strategies for improving Guidebook implementation through collaboration with VA staff.

Comparing 2 methods of assessing 30-day readmissions: what is the impact on hospital profiling in the veterans health administration?

BACKGROUND: The Centers for Medicare and Medicaid Services' (CMS) all-cause readmission measure and the 3M Health Information System Division Potentially Preventable Readmissions (PPR) measure are both used for public reporting. These 2 methods have not been directly compared in terms of how they identify high-performing and low-performing hospitals. OBJECTIVES: To examine how consistently the CMS and PPR methods identify performance outliers, and explore how the PPR preventability component impacts hospital readmission rates, public reporting on CMS' Hospital Compare website, and pay-for-performance under CMS' Hospital Readmission Reduction Program for 3 conditions (acute myocardial infarction, heart failure, and pneumonia). METHODS: We applied the CMS all-cause model and the PPR software to VA administrative data to calculate 30-day observed FY08-10 VA hospital readmission rates and hospital profiles. We then tested the effect of preventability on hospital readmission rates and outlier identification for reporting and pay-for-performance by replacing the dependent variable in the CMS all-cause model (Yes/No readmission) with the dichotomous PPR outcome (Yes/No preventable readmission). RESULTS: The CMS and PPR methods had moderate correlations in readmission rates for each condition. After controlling for all methodological differences but preventability, correlations increased to >90%. The assessment of preventability yielded different outlier results for public reporting in 7% of hospitals; for 30% of hospitals there would be an impact on Hospital Readmission Reduction Program reimbursement rates. CONCLUSIONS: Despite uncertainty over which readmission measure is superior in evaluating hospital performance, we confirmed that there are differences in CMS-generated and PPR-generated hospital profiles for reporting and pay-for-performance, because of methodological differences and the PPR's preventability component.

Facilitators and Barriers to Verifying Penicillin Allergies in a Veteran Nursing Home Population.

BACKGROUND: Unconfirmed penicillin allergies are common and may contribute to adverse outcomes, especially in frail older patients. Evidence-based clinical pathways for evaluating penicillin allergies have been effectively and safely applied in selected settings, but not in nursing home populations. OBJECTIVE: To identify potential facilitators and barriers to implementing a strategy to verify penicillin allergies in Veterans Health Administration nursing homes, known as Community Living Centers (CLCs). METHODS: We conducted semistructured interviews with staff, patients, and family members at 1 CLC to assess their understanding of penicillin allergies and receptiveness to verifying the allergy. We also asked staff about the proposed allergy assessment strategy, including willingness to delabel by history and feasibility of performing oral challenges or skin testing on their unit. RESULTS: From 24 interviews (11 front-line staff, 4 leadership, 3 patients, 6 family members), we identified several facilitators or barriers. Staff recognized the importance of allergy verification and were willing to support and assist in implementing verification strategies. The CLC residents were willing to have their allergy status verified. However, some family members expressed reluctance to verifying their relative's allergy status owing to safety concerns. Front-line staff also expressed concern over having the necessary resources, including time and expertise, to implement the strategy. Staff suggested involving clinical pharmacists and educating staff, patients, and family members as ways to overcome these barriers. CONCLUSIONS: Concerns about safety and staff resources are important potential barriers to implementing verification strategies. Involvement of pharmacists and education of both staff and patients and family members will be important components of any successful intervention.

Development and Validation of Quality Measures for Testosterone Prescribing.

Context: Accurate measures to assess appropriateness of testosterone prescribing are needed to improve prescribing practices. Objective: This work aimed to develop and validate quality measures around the initiation and monitoring of testosterone prescribing. Methods: This retrospective cohort study comprised a national cohort of male patients receiving care in the Veterans Health Administration who initiated testosterone during January or February 2020. Using laboratory data and diagnostic codes, we developed 9 initiation and 7 monitoring measures. These were based on the current Endocrine Society guidelines supplemented by expert opinion and prior work. We chose measures that could be operationalized using national VA electronic health record (EHR) data. We assessed criterion validity for these 16 measures by manual review of 142 charts. Main outcome measures included positive and negative predictive values (PPVs, NPVs), overall accuracy (OA), and Matthews Correlation Coefficients (MCCs). Results: We found high PPVs (>78%), NPVs (>98%), OA (≥94%), and MCCs (>0.85) for the 10 measures based on laboratory data (5 initiation and 5 monitoring). For the 6 measures relying on diagnostic codes, we similarly found high NPVs (100%) and OAs (≥98%). However, PPVs for measures of acute conditions occurring before testosterone initiation (ie, acute myocardial infarction or stroke) or new conditions occurring after initiation (ie, prostate or breast cancer) PPVs were much lower (0% to 50%) due to few or no cases. Conclusion: We developed several valid EHR-based quality measures for assessing testosterone-prescribing practices. Deployment of these measures in health care systems can facilitate identification of quality gaps in testosterone-prescribing and improve care of men with hypogonadism.

The role of patients' explanatory models and daily-lived experience in hypertension self-management.

BACKGROUND: Uncontrolled hypertension remains a significant problem for many patients. Few interventions to improve patients' hypertension self-management have had lasting effects. Previous work has focused largely on patients' beliefs as predictors of behavior, but little is understood about beliefs as they are embedded in patients' social contexts. OBJECTIVE: This study aims to explore how patients' "explanatory models" of hypertension (understandings of the causes, mechanisms or pathophysiology, course of illness, symptoms and effects of treatment) and social context relate to their reported daily hypertension self-management behaviors. DESIGN: Semi-structured qualitative interviews with a diverse group of patients at two large urban Veterans Administration Medical centers. PARTICIPANTS (OR PATIENTS OR SUBJECTS): African-American, white and Latino Veterans Affairs (VA) primary care patients with uncontrolled blood pressure. APPROACH: We conducted thematic analysis using tools of grounded theory to identify key themes surrounding patients' explanatory models, social context and hypertension management behaviors. RESULTS: Patients' perceptions of the cause and course of hypertension, experiences of hypertension symptoms, and beliefs about the effectiveness of treatment were related to different hypertension self-management behaviors. Moreover, patients' daily-lived experiences, such as an isolated lifestyle, serious competing health problems, a lack of habits and routines, barriers to exercise and prioritizing lifestyle choices, also interfered with optimal hypertension self-management. CONCLUSIONS: Designing interventions to improve patients' hypertension self-management requires consideration of patients' explanatory models and their daily-lived experience. We propose a new conceptual model - the dynamic model of hypertension self-management behavior - which incorporates these key elements of patients' experiences.

Is development of postoperative venous thromboembolism related to thromboprophylaxis use? A case-control study in the Veterans Health Administration.

BACKGROUND: Observational studies continue to report thromboprophylaxis underuse for postoperative pulmonary embolism/deep vein thrombosis (pPE/DVT) despite the long-standing existence of prevention guidelines. However, data are limited on whether thromboprophylaxis use differs between patients developing pPE/DVT versus those who do not or on why prophylaxis is withheld. METHODS: Administrative data (2002-2007) from 28 Veterans Health Administration hospitals were screened for discharges with (1) pPE/DVT as flagged by the Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicator software and (2) pharmacoprophylaxis-recommended procedures, and the medical records were reviewed to ascertain true pPE/DVT cases. Controls were selected by matching cases by hospital, age, sex, diagnosis-related group, and predicted probability for developing pPE/DVT, and who underwent a pharmacoprophylaxis-recommended procedure. Records were assessed for "appropriate pharmacoprophylaxis use," defined primarily per American College of Chest Physicians (ACCP) guidelines, and reasons for anticoagulant nonuse. RESULTS: The 116 case-control pairs were similar in terms of demographics, surgery type, ACCP risk category, and appropriate pharmacoprophylaxis rates overall. Of the highest-risk patients, respective pharmacoprophylaxis rates among cases and controls were 88% versus 92% among hip/knee replacements and 31% versus 48% among cancer patients. Of the cases and controls who did not receive appropriate pharmacoprophylaxis, only about 25% had documented contraindications. Reviewers identified contraindications in 14% of cases and 9% of controls. CONCLUSIONS: Similarities in preventive pPE/DVT practice between cases and controls suggest that pPE/DVTs occur despite implementation of guideline-adherent practices.

Designing an abstraction instrument: lessons from efforts to validate the AHRQ patient safety indicators.

BACKGROUND: The U.S. Agency for Healthcare Research and Quality (AHRQ) and other organizations have developed quality indicators based on hospital administrative data. Characteristics of effective abstraction instruments were identified for determining both the positive predictive value (PPV) of Patient Safety Indicators (PSIs) and the extent to which hospitals and clinicians could have prevented adverse events. METHODS: Through an iterative process involving nurse abstractors, physicians, and nurses with quality improvement experience, and health services researchers, 25 abstraction instruments were designed for 12 AHRQ provider-level morbidity PSIs. Data were analyzed from 13 of these instruments, and data are being collected using several more. FINDINGS: Common problems in designing the instruments included avoiding uninformative questions and premature termination of the abstraction process, anticipating misinterpretation of questions, allowing an appropriate range of response options; using clear terminology, optimizing the flow of the abstraction process, balancing the utility of data against abstractor burden, and recognizing the needs of end users, such as hospitals and quality improvement professionals and researchers, for the abstracted information. CONCLUSIONS: Designing medical record abstraction instruments for quality improvement research involves several potential pitfalls. Understanding how we addressed these challenges might help both investigators and users of outcome indicators to appreciate the strengths and limitations of outcome-based quality indicators and tools designed to validate or investigate such indicators within provider organizations.

Trends in the inpatient quality indicators: the Veterans Health Administration experience.

BACKGROUND: The Agency for Healthcare Research and Quality Inpatient Quality Indicators (IQIs), which include in-hospital mortality and utilization rates, have received little attention in the Veterans Health Administration (VA), despite extensive private sector use for quality improvement. OBJECTIVES: We examined the following: the feasibility of applying the IQIs to VA data; temporal trends in national VA IQI rates; temporal and regional IQI trends in geographic areas defined by Veterans Integrated Service Networks' (VISNs); and VA versus non-VA (Nationwide Inpatient Sample) temporal trends. METHODS: We derived VA- and VISN-level IQI observed rates, risk-adjusted rates, and observed to expected ratios (O/Es), using VA inpatient data (2004-2007). We examined the trends in VA- and VISN-level rates using weighted linear regression, variation in VISN-level O/Es, and compared VA to non-VA trends. RESULTS: VA in-hospital mortality rates from selected medical conditions (stroke, hip fracture, pneumonia) decreased significantly over time; procedure-related mortality rates were unchanged. Laparoscopic cholecystectomy rates increased significantly. A few VISNs were consistently high or low outliers for the medical-related mortality IQIs. Within any given year, utilization indicators, especially cardiac catheterization and cholecystectomy, showed the most inter-VISN variation. Compared with the non-VA, VA medical-related mortality rates for the above-mentioned conditions decreased more rapidly, whereas laparascopic cholecystectomy rates rose more steeply. CONCLUSIONS: The IQIs are easily applied to VA administrative data. They can be useful to tracks rate trends over time, reveal variation between sites, and for trend comparisons with other healthcare systems. By identifying potential quality events related to mortality and utilization, they may complement existing VA quality improvement initiatives.

Comparison of in-hospital versus 30-day mortality assessments for selected medical conditions.

BACKGROUND: In-hospital mortality measures such as the Agency for Healthcare Research and Quality (AHRQ) Inpatient Quality Indicators (IQIs) are easily derived using hospital discharge abstracts and publicly available software. However, hospital assessments based on a 30-day postadmission interval might be more accurate given potential differences in facility discharge practices. OBJECTIVES: To compare in-hospital and 30-day mortality rates for 6 medical conditions using the AHRQ IQI software. METHODS: We used IQI software (v3.1) and 2004-2007 Veterans Health Administration (VA) discharge and Vital Status files to derive 4-year facility-level in-hospital and 30-day observed mortality rates and observed/expected ratios (O/Es) for admissions with a principal diagnosis of acute myocardial infarction, congestive heart failure, stroke, gastrointestinal hemorrhage, hip fracture, and pneumonia. We standardized software-calculated O/Es to the VA population and compared O/Es and outlier status across sites using correlation, observed agreement, and kappas. RESULTS: Of 119 facilities, in-hospital versus 30-day mortality O/E correlations were generally high (median: r = 0.78; range: 0.31-0.86). Examining outlier status, observed agreement was high (median: 84.7%, 80.7%-89.1%). Kappas showed at least moderate agreement (k > 0.40) for all indicators except stroke and hip fracture (k ≤ 0.22). Across indicators, few sites changed from a high to nonoutlier or low outlier, or vice versa (median: 10, range: 7-13). CONCLUSIONS: The AHRQ IQI software can be easily adapted to generate 30-day mortality rates. Although 30-day mortality has better face validity as a hospital performance measure than in-hospital mortality, site assessments were similar despite the definition used. Thus, the measure selected for internal benchmarking should primarily depend on the healthcare system's data linkage capabilities.

Beyond Medication Adherence: The Role of Patients' Beliefs and Life Context in Blood Pressure Control.

Objective: Despite numerous interventions to address adherence to antihypertensive medications, continued high rates of uncontrolled blood pressure (BP) suggest a need to better understand patient factors beyond adherence associated with BP control. We examined how patients' BP-related beliefs, and aspects of life context affect BP control, beyond medication adherence. Methods: We conducted a cross-sectional telephone survey of primary care patients with hypertension between 2010 and 2011 (N=103; 93 had complete data on all variables and were included in the regression analyses). We assessed patient sociodemographics (including race/ethnicity), medication adherence, BP-related beliefs, aspects of life context, and used clinical BP assessments. Results: Regression models including sociodemographics, medication adherence, and either beliefs or context consistently predicted BP control. Adding context after beliefs added no predictive value while adding beliefs after context significantly predicted BP control. Practical Implications: Results suggest that when clinicians must choose a dimension on which to intervene, focusing on beliefs would be the most fruitful approach to effecting change in BP control.

Racial differences in the prevalence of atrial fibrillation among males.

BACKGROUND: Despite being the most common cardiac arrhythmia, little is known about racial differences in atrial fibrillation (AF) prevalence and whether differences persist after accounting for known risk factors. METHODS: We identified male respondents to the 1999 Large Health Survey of Veteran Enrollees who had an AF diagnosis in the VA administrative database during the preceding two years. RESULTS: Of 664,754 male respondents, 5.3% had AF. By race, age-adjusted prevalence was 5.7% in whites, 3.4% in blacks, 3.0% in Hispanics, 5.4% in native Americans/Alaskans, 3.6% in Asians and 5.2% in Pacific Islanders (p<0.001). Of predisposing conditions, whites were more likely to have valvular heart disease, coronary artery disease and congestive heart failure, blacks had the highest hypertension prevalence; Hispanics had the highest diabetes prevalence. Racial differences remained after adjustment for age, body mass index and these comorbidities. White males were significantly more likely to have AF compared to all races but Pacific Islanders [versus blacks, OR=1.84 (95% CI: 1.71-1.98); versus Hispanics, OR=1.77 (1.60-1.97); vs Native Americans, OR 1.15 [1.04-1.27]; versus Asians, OR=1.41 (1.12-1.77) versus Pacific Islanders, OR=1.16 (0.88-1.53)]. CONCLUSIONS: AF prevalence varies by race. White males have the highest AF burden even after adjustment for known risk factors. Recognition of the high AF prevalence, especially among whites, as well as native Americans and Pacific Islanders, should help guide provider practices for screening among older male patients. Further research is necessary to verify and establish reasons for these racial differences.

Does Surveillance Bias Influence the Validity of Measures of Inpatient Complications? A Systematic Review.

Surveillance bias may threaten the accuracy of inpatient complication measures. A systematic literature review was conducted to examine whether surveillance bias influences the validity of selected Patient Safety Indicator- and health care associated infection-related measures. Ten venous thromboembolism (VTE) articles were identified: 7 trauma related, 3 postoperative, and 1 central line-associated bloodstream infection (CLABSI) article. Nine VTE articles found positive associations between deep vein thrombosis imaging and VTE diagnoses. Because imaging also may be symptom driven, most studies performed additional analyses to corroborate findings. Six trauma-related and 2 postoperative VTE studies concluded that surveillance bias was present, the latter based on circumstantial evidence. The non-VTE study found a significant positive correlation between surveillance aggressiveness and intensive care unit CLABSI rates. Even considering VTE, relatively little is known about the impact of surveillance bias on inpatient complication measures. Given the implications of misclassifying hospitals on quality, this issue requires further investigation using more direct measurement methods.

The Patient Safety Indicator Perioperative Pulmonary Embolism or Deep Vein Thrombosis: Is there associated surveillance bias in the Veterans Health Administration?

BACKGROUND: Studies disagree whether surveillance bias is associated with perioperative venous thromboembolism (VTE) performance measures. A prior VA study used a chart-based outcome; no studies have used the fully specified administrative data-based AHRQ Patient Safety Indicator, PSI-12, as their primary outcome. If surveillance bias were present, we hypothesized that inpatient surveillance rates would be associated with higher PSI-12 rates, but with lower post-discharge VTE rates. METHODS: Using VA data, we examined Pearson correlations between hospital-level VTE imaging rates and risk-adjusted PSI-12 rates and post-discharge VTE rates. To determine the robustness of findings, we conducted several sensitivity analyses. RESULTS: Hospital imaging rates were positively correlated with both PSI-12 (r = 0.24, p = 0.01) and post-discharge VTE rates (r = 0.16, p = 0.09). Sensitivity analyses yielded similar findings. CONCLUSIONS: Like the prior VA study, we found no evidence of PSI-12-related surveillance bias. Given the use of PSI-12 in nationwide measurement, these findings warrant replication using similar methods in the non-VA setting.

Blood pressure and survival in the oldest old.

OBJECTIVES: To determine the relationship between blood pressure (BP) and all-cause mortality in subjects aged 80 and older with hypertension. DESIGN: Retrospective cohort study with 5 years of follow-up. SETTING: Ten Veterans AFFAIRS (VA) sites. PARTICIPANTS: Four thousand seventy-one ambulatory patients aged 80 and older with hypertension. MEASUREMENTS: The outcome measure was likelihood of survival during the follow-up period. Vital status was obtained from VA and Social Security files. Variables collected for adjustment in Cox regression models were baseline BP, medications, demographics, diagnoses, and health-related quality of life (HRQoL); HRQoL information was available on 1,289 subjects based on Veterans Health Study Short From-36 (SF-36) questionnaire scores. RESULTS: Subjects with higher BP (up to a systolic BP (SBP) of 139 mmHg and a diastolic BP (DBP) of 89 mmHg) were less likely to die during follow-up than subjects with lower BP. After baseline adjustments, the hazard ratio for a 10-point increase in SBP was 0.82 (95% confidence interval (CI)=0.74-0.91), up to a SBP of 139 mmHg, and for DBP was 0.85 (95% CI=0.78-0.92), up to a DBP of 89 mmHg. There was no significant association between survival and BP levels in subjects with uncontrolled hypertension. CONCLUSION: In a cohort of very old, hypertensive veterans, in subjects with controlled BPs, subjects with lower BP levels had a lower 5-year survival than those with higher BPs. This suggests that clinicians should use caution in their approach to BP lowering in this age group.

A Systematic Review of Patient Safety Measures in Adult Primary Care.

Safety measure development has focused on inpatient care despite outpatient visits far outnumbering inpatient admissions. Some measures are clearly identified as outpatient safety measures when published, yet outcomes from quality improvement studies also may be useful measures. The authors conducted a systematic review of the literature to identify published articles detailing safety measures applicable to adult primary care. A total of 21 articles were identified, providing specifications for 182 safety measures. Each measure was classified into one of 6 outpatient safety dimensions: medication management, sentinel events, care coordination, procedures and treatment, laboratory testing and monitoring, and facility structures/resources. Compared to the multitude of available inpatient safety measures, the number of existing adult primary care measures is low. The measures identified by this systematic review may yield further insight into the breadth of safety events causing harm in primary care, while also identifying areas of patient safety in primary care that may be understudied.

The effect of age on hypertension control and management.

BACKGROUND: Despite guidelines recommending similar blood pressure (BP) treatment goals regardless of age, controversy exists regarding treating those > or = 80 years of age. Whether this affects current practice in terms of differences in BP control and number of prescribed antihypertensives by age is unknown. METHODS: This was a cross-sectional study of 59,207 outpatients with hypertension treated at 10 Veterans Health Administration sites. Outcome measures were BP control (< 140/90 mm Hg) and number of antihypertensive medications at the patient's last study visit. Uncontrolled BP was also categorized by whether systolic, diastolic, or both were elevated. RESULTS: Subjects 40 to 49 years and those 50 to 59 years of age had better BP control (adjusted odds ratios 1.35 [95% CI = 1.26 to 1.44] and 1.22 [CI = 1.17 to 1.28] respectively) compared with subjects 60 to 69 years of age; those 70 to 79 years of age and > or = 80 years had worse control (OR = 0.92 for both; respective CIs = 0.88 to 0.96 and 0.86 to 0.99). Antihypertensive medication use increased by successive decade to age 80 years, after which the trend reversed. Adjusted mean number of medications by age were: < 40 years, 2.60; 40 to 49, 2.82; 50 to 59, 2.91; 60 to 69, 3.01; 70 to 79, 3.03; > or = 80 years, 2.90 (P < .05 in pairwise comparisons). The trend of number of medications by age did not vary across hypertension categories, despite systolic hypertension increasing and diastolic hypertension decreasing with age. Subjects < 40 years of age were taking the fewest medications, followed by subjects > or = 80 years and then by those 40 to 49, 50 to 59, 70 to 79, and 60 to 69 years of age. CONCLUSIONS: The oldest hypertension patients, despite worse BP control, are being treated less aggressively with fewer medications than their younger counterparts (those 60 to 79 years of age). Our results suggest that current controversy in treating the oldest hypertensive patients is having an impact on actual practice.

Measuring readmissions after surgery: do different methods tell the same story?

BACKGROUND: Readmission is widely used as a quality metric to assess hospital performance. However, different methods to calculate readmissions may produce various results, leading to differences in classification with respect to hospital performance. This study compared 2 commonly used approaches to measure surgical readmissions: the 30-day all-cause hospital-wide readmissions (HWRs) and the potentially preventable readmissions (PPRs). METHODS: We examined the correlation between hospitals' risk-adjusted HWR and PPR rates and whether there was agreement in categorizing hospital performance between these measures among 111 hospitals with inpatient surgical programs in the Veterans Health Administration. RESULTS: We found that hospitals' HWR and PPR rates were highly correlated (r = .85, P < .0001). The overall agreement between these 2 methods in categorizing hospital performance was 82% for all surgeries, 82% for colectomy, 84% for coronary bypass, and 87% for hip/knee replacement, respectively. CONCLUSIONS: Despite differences in methodologies, the HWR and the PPR measures provided relatively consistent perceptions of hospitals' performance on surgical readmissions.

Partnering With VA Stakeholders to Develop a Comprehensive Patient Safety Data Display: Lessons Learned From the Field.

Health care systems are increasingly burdened by the large numbers of safety measures currently being reported. Within the Veterans Administration (VA), most safety reporting occurs within organizational silos, with little involvement by the frontline users of these measures. To provide a more integrated picture of patient safety, the study team partnered with multiple VA stakeholders and engaged potential frontline users at 2 hospitals to develop a Guiding Patient Safety (GPS) tool. The GPS is currently in its fourth generation; once approval is obtained from senior leadership, implementation will begin. Stakeholders were enthusiastic about the GPS's user-friendly format, comprehensive content, and potential utility for improving safety. These findings suggest that stakeholder engagement is a critical first step in the development of tools that will more likely be used by frontline users. Policy makers and researchers may consider adopting this innovative partnered-research model in developing future national initiatives to deliver meaningful programs to frontline users.