National Survey of the Bone Densitometry Evaluation Process Within an Integrated Healthcare System.

BACKGROUND: To assess the current state of bone mineral density evaluation services via dual energy x-ray absorptiometry (DXA) provided to Veterans with fracture risk through the development and administration of a nationwide survey of facilities in the Veterans Health Administration. METHODOLOGY: The Bone Densitometry Survey was developed by convening a Work Group of individuals with expertise in bone densitometry and engaging the Work Group in an iterative drafting and revision process. Once completed, the survey was beta tested, administered through REDCap, and sent via e-mail to points of contact at 178 VHA facilities. RESULTS: Facility response rate was 31 % (56/178). Most DXA centers reported positively to markers of readiness for their bone densitometers: less than 10 years old (n=35; 63 %); in "excellent" or "good" condition (n=44; 78 %, 32 % and 46 %, respectively); and perform phantom calibration (n=43; 77 %). Forty-one DXA centers (73 %) use intake processes that have been shown to reduce errors. Thirty-seven DXA centers (66 %) reported their technologists receive specialized training in DXA, while 14 (25 %) indicated they receive accredited training. Seventeen DXA centers (30 %) reported performing routine precision assessment. CONCLUSIONS: Many DXA centers reported using practices that meet minimal standards for DXA reporting and preparation; however, the lack of standardization, even within an integrated healthcare system, indicates an opportunity for quality improvement to ensure consistent high quality bone mineral density evaluation of Veterans.

Chronic Disease Management through Clinical Video Telehealth on Health Care Utilization, and Mortality in the Veterans Health Administration: A Retrospective Cohort Study.

Background: Chronic health diseases such as congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes mellitus (DM) affect 6 in 10 Americans and contribute to 90% of the $4.1 trillion health care expenditures. The objective of this study was to measure the effect of clinical video telehealth (CVT) on health care utilization and mortality. A retrospective cohort study of Veterans ≥65 years with CHF, COPD, or DM was conducted. Measures: Veterans using CVT were matched 1:3 on demographic characteristics to Veterans who did not use CVT. Outcomes included 1-year incidence of ED visits, inpatient admissions, and mortality, reported as adjusted odds ratios (aORs) and 95% confidence intervals (CIs). Results: Final analytical cohorts included 22,280 Veterans with CHF, 51,872 Veterans with COPD, and 170,605 Veterans with DM. CVT utilization was associated with increased ED visits for CHF (aOR: 1.24; 95% CI: 1.15-1.34), COPD (aOR: 1.20; 95% CI: 1.14-1.26), and DM (aOR: 1.07; 95% CI: 1.00-1.10). For CHF, there was no difference between CVT utilization and inpatient admissions (aOR: 0.98; 95% CI 0.91-1.05) or mortality (aOR: 1.03; 95% CI: 0.93-1.15). For COPD, CVT was associated with increased inpatient admissions (aOR: 1.08; 95% CI: 1.02-1.13) and mortality (aOR: 1.36; 95% CI: 1.25-1.48). For DM, CVT utilization was associated with lower risk of inpatient admissions (aOR: 0.83; 95% CI: 0.80-0.86) and mortality (aOR: 0.89; 95% CI: 0.84-0.95). Conclusions: CVT use as an alternative care site might serve as an early warning system, such that this mechanism may indicate when an in-person assessment is needed for potential exacerbation of conditions. Although inpatient and mortality varied, ED utilization was higher with CVT. Exploring pathways accessing clinical care through CVT, and how CVT is directly or indirectly associated with immediate and long-term clinical outcomes would be valuable.

Effect of Chronic Disease Home Telehealth Monitoring in the Veterans Health Administration on Healthcare Utilization and Mortality.

BACKGROUND: The high prevalence of chronic diseases, including congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), and diabetes mellitus (DM), accounts for a large burden of cost and poor health outcomes in US hospitals, and home telehealth (HT) monitoring has been proposed to improve outcomes. OBJECTIVE: To measure the association between HT initiation and 12-month inpatient hospitalizations, emergency department (ED) visits, and mortality in veterans with CHF, COPD, or DM. DESIGN: Comparative effectiveness matched cohort study. PATIENTS: Veterans aged 65 years and older treated for CHF, COPD, or DM. MAIN MEASURES: We matched veterans initiating HT with veterans with similar demographics who did not use HT (1:3). Our outcome measures included a 12-month risk of inpatient hospitalization, ED visits, and all-cause mortality. KEY RESULTS: A total of 139,790 veterans with CHF, 65,966 with COPD, and 192,633 with DM were included in this study. In the year after HT initiation, the risk of hospitalization was not different in those with CHF (adjusted odds ratio [aOR] 1.01, 95% confidence interval [95%CI] 0.98-1.05) or DM (aOR 1.00, 95%CI 0.97-1.03), but it was higher in those with COPD (aOR 1.15, 95%CI 1.09-1.21). The risk of ED visits was higher among HT users with CHF (aOR 1.09, 95%CI 1.05-1.13), COPD (1.24, 95%CI 1.18-1.31), and DM (aOR 1.03, 95%CI 1.00-1.06). All-cause 12-month mortality was lower in those initiating HT monitoring with CHF (aOR 0.70, 95%CI 0.67-0.73) and DM (aOR 0.79, 95%CI 0.75-0.83), but higher in COPD (aOR 1.08, 95%CI 1.00-1.16). CONCLUSIONS: The initiation of HT was associated with increased ED visits, no change in hospitalizations, and lower all-cause mortality in patients with CHF or DM, while those with COPD had both higher healthcare utilization and all-cause mortality.

Risk for Prolonged Opioid Use Following Total Knee Arthroplasty in Veterans.

BACKGROUND: Patients undergoing total knee arthroplasty (TKA) may be at risk for prolonged postsurgical opioid use due to a high prevalence of persistent postsurgical pain (20%) and high rates of presurgical opioid use. METHODS: The current study uses a Veterans Health Administration sample of 6653 Veterans who underwent TKA in the fiscal year 2014 that did not require surgical revision during the subsequent year. RESULTS: Sixty percent of the sample had used an opioid in the year prior to surgery, including 20% who were on long-term opioid use at the time of surgery (defined as 90+ days of continuous use) and 40% with any other opioid use in the year prior to surgery. In patients on long-term opioids at the time of surgery, 69% received opioids for at least 6 months and 57% for at least 12 months after TKA. In patients not on long-term opioids at the time of TKA, only 4% received opioids for at least 6 months and 2% for at least 12 months after TKA. Differing risk factors for prolonged opioid use 12 months after TKA were identified in these 2 cohorts (ie, those who were and were not receiving long-term opioids at TKA). CONCLUSION: These findings suggest that the greatest risk for prolonged opioid use after TKA is preoperative opioid use.

Implementation of evidence-based practices: Applying a goal commitment framework.

BACKGROUND: The implementation of evidence-based practices translates research findings into practice to reduce inappropriate care. However, this process is slow and unpredictable. The lack of a coherent theoretical basis for understanding individual and organizational behavior limits our ability to formulate effective implementation strategies. PURPOSE: The study objectives are (a) to test the goal commitment framework that explains mechanisms impacting outcomes of major depressive disorder (MDD) screening guideline implementation and (b) to understand the effects of implementation outcomes on provider practice related to MDD screening. METHODS: Using data from the Determinants of Clinical Practice Guideline Implementation Effectiveness Study, the national sample included 2,438 clinicians from 139 Veteran Affairs acute care hospitals with primary care clinics. We used hierarchical generalized linear modeling to assess the following implementation outcomes: agreement with, adherence to, improvement in knowledge of guidelines, and delivery of best practices as a function of clinician input into implementation, teamwork, involvement in quality improvement activities, participative culture, interdepartmental coordination, frequency, and utility of performance feedback. We then estimated self-reported MDD screening practices as a function of these four implementation outcomes. FINDINGS: Results showed that having input into implementation, involvement in quality of care improvement, teamwork, and perceived value of performance feedback were positively associated with implementation outcomes. Provider self-assessed guideline adherence was positively associated with the likelihood of appropriate MDD screening. IMPLICATIONS: Factors related to increased goal commitment positively predicted key implementation outcomes, which in turn enhanced care delivery. This study demonstrates that the goal commitment framework is useful in assisting managers to assess factors that facilitate implementation. In particular, participation, feedback, and team work equip organizational participants with better information about implementation targets, thereby increasing adherence. Instituting or improving systems or programs to facilitate timely, appropriate performance feedback and provider participation may help enhancing organizational change and learning.

Delivering fracture prevention services to rural US veterans through telemedicine: a process evaluation.

An informatics-driven population bone health clinic was implemented to identify, screen, and treat rural US Veterans at risk for osteoporosis. We report the results of our implementation process evaluation which demonstrated BHT to be a feasible telehealth model for delivering preventative osteoporosis services in this setting. PURPOSE: An established and growing quality gap in osteoporosis evaluation and treatment of at-risk patients has yet to be met with corresponding clinical care models addressing osteoporosis primary prevention. The rural bone health tea m (BHT) was implemented to identify, screen, and treat rural Veterans lacking evidence of bone health care and we conducted a process evaluation to understand BHT implementation feasibility. METHODS: For this evaluation, we defined the primary outcome as the number of Veterans evaluated with DXA and a secondary outcome as the number of Veterans who initiated prescription therapy to reduce fracture risk. Outcomes were measured over a 15-month period and analyzed descriptively. Qualitative data to understand successful implementation were collected concurrently by conducting interviews with clinical personnel interacting with BHT and BHT staff and observations of BHT implementation processes at three site visits using the Promoting Action on Research Implementation in Health Services (PARIHS) framework. RESULTS: Of 4500 at-risk, rural Veterans offered osteoporosis screening, 1081 (24%) completed screening, and of these, 37% had normal bone density, 48% osteopenia, and 15% osteoporosis. Among Veterans with pharmacotherapy indications, 90% initiated therapy. Qualitative analyses identified barriers of rural geography, rural population characteristics, and the infrastructural resource requirement. Data infrastructure, evidence base for care delivery, stakeholder buy-in, formal and informal facilitator engagement, and focus on teamwork were identified as facilitators of implementation success. CONCLUSION: The BHT is a feasible population telehealth model for delivering preventative osteoporosis care to rural Veterans.

Utility of accumulated opioid supply days and individual patient factors in predicting probability of transitioning to long-term opioid use: An observational study in the Veterans Health Administration.

Initial supply days dispensed to new users is strongly predictive of future long-term opioid use (LTO). The objective was to examine whether a model integrating additional clinical variables conferred meaningful improvement in predicting LTO, beyond a simple approach using only accumulated supply. Three cohorts were created using Veteran's Health Administration data based on accumulated supply days during the 90 days following opioid initiation: (a) <30 days, (b) ≥30 days, (c) ≥60 days. A base, unadjusted probability of subsequent LTO (days 91-365) was calculated for each cohort, along with an associated risk range based on midpoint values between cohorts. Within each cohort, log-binomial regression modeled the probability of subsequent LTO, using demographic, diagnostic, and medication characteristics. Each patient's LTO probability was determined using their individual characteristic values and model parameter estimates, where values falling outside the cohort's risk range were considered a clinically meaningful change in predictive value. Base probabilities for subsequent LTO and associated risk ranges by cohort were as follows: (a) 3.92% (0%-10.75%), (b) 17.59% (10.76%-28.05%), (c) 38.53% (28.06%-47.55%). The proportion of patients whose individual probability fell outside their cohort's risk range was as follows: 1.5%, 4.6%, and 9.2% for cohorts 1, 2, and 3, respectively. The strong relationship between accumulated supply days and future LTO offers an opportunity to leverage electronic healthcare records for decision support in preventing the initiation of inappropriate LTO through early intervention. More complex models are unlikely to meaningfully guide decision making beyond the single variable of accumulated supply days.

Structural and process factors affecting the implementation of antimicrobial resistance prevention and control strategies in U.S. hospitals.

BACKGROUND: To address increases in the incidence of infection with antimicrobial-resistant pathogens, the National Foundation for Infectious Diseases and Centers for Disease Control and Prevention proposed two sets of strategies to (a) optimize antibiotic use and (b) prevent the spread of antimicrobial resistance and control transmission. However, little is known about the implementation of these strategies. PURPOSE: Our objective is to explore organizational structural and process factors that facilitate the implementation of National Foundation for Infectious Diseases/Centers for Disease Control and Prevention strategies in U.S. hospitals. METHODS: We surveyed 448 infection control professionals from a national sample of hospitals. Clinically anchored in the Donabedian model that defines quality in terms of structural and process factors, with the structural domain further informed by a contingency approach, we modeled the degree to which National Foundation for Infectious Diseases and Centers for Disease Control and Prevention strategies were implemented as a function of formalization and standardization of protocols, centralization of decision-making hierarchy, information technology capabilities, culture, communication mechanisms, and interdepartmental coordination, controlling for hospital characteristics. FINDINGS: Formalization, standardization, centralization, institutional culture, provider-management communication, and information technology use were associated with optimal antibiotic use and enhanced implementation of strategies that prevent and control antimicrobial resistance spread (all p < .001). However, interdepartmental coordination for patient care was inversely related with antibiotic use in contrast to antimicrobial resistance spread prevention and control (p < .0001). IMPLICATIONS: Formalization and standardization may eliminate staff role conflict, whereas centralized authority may minimize ambiguity. Culture and communication likely promote internal trust, whereas information technology use helps integrate and support these organizational processes. These findings suggest concrete strategies for evaluating current capabilities to implement effective practices and foster and sustain a culture of patient safety.

Percutaneous injury, blood exposure, and adherence to standard precautions: are hospital-based health care providers still at risk?

To examine factors associated with blood exposure and percutaneous injury among health care workers, we assessed occupational risk factors, compliance with standard precautions, frequency of exposure, and reporting in a stratified random sample of 5123 physicians, nurses, and medical technologists working in Iowa community hospitals. Of these, 3223 (63%) participated. Mean rates of hand washing (32%-54%), avoiding needle recapping (29%-70%), and underreporting sharps injuries (22%-62%; overall, 32%) varied by occupation (P<.01). Logistic regression was used to estimate the adjusted odds of percutaneous injury (aOR(injury)), which increased 2%-3% for each sharp handled in a typical week. The overall aOR(injury) for never recapping needles was 0.74 (95% CI, 0.60-0.91). Any recent blood contact, a measure of consistent use of barrier precautions, had an overall aOR(injury) of 1.57 (95% CI, 1.32-1.86); among physicians, the aOR(injury) was 2.18 (95% CI, 1.34-3.54). Adherence to standard precautions was found to be suboptimal. Underreporting was found to be common. Percutaneous injury and mucocutaneous blood exposure are related to frequency of sharps handling and inversely related to routine standard-precaution compliance. New strategies for preventing exposures, training, and monitoring adherence are needed.

Factors promoting consistent adherence to safe needle precautions among hospital workers.

OBJECTIVE: To examine organizational factors and occupational characteristics associated with adherence to occupational safety guidelines recommending never recapping needles. DESIGN: Mail surveys were conducted with healthcare workers (HCWs) and infection control professionals (ICPs). SETTING: The surveys were conducted at all non-federal general hospitals in Iowa, except one tertiary-care hospital. Survey data were linked to annual survey data of the American Hospital Association (AHA). PARTICIPANTS: HCWs were sampled from statewide rosters of physicians, nurses, and laboratory workers in Iowa. Eligible HCWs worked in a setting and position in which they were likely to routinely handle needles. ICPs at all hospitals in the state were surveyed. RESULTS: Ninety-nine ICPs responded (79% response rate). AHA data were available for all variables from 84 (85%) of the hospitals. Analyses were based on 1,454 HCWs who identified one of these hospitals as their primary hospital (70% response rate). Analyses were conducted using multiple logistic regression. Positive predictors of consistent adherence included infection control personnel hours per full-time-equivalent employee (odds ratio [OR], 1.03), frequency of standard precautions education (OR, 1.11), facilities providing personal protective equipment (OR, 1.82), facilities using needleless intravenous systems (OR, 1.42), and management support for safety (OR, 1.05). Negative predictors were use of "blood and body fluid precautions" isolation category (OR, 0.74) and increased job demands (OR, 0.90). CONCLUSION: Healthcare organizations can improve staff safety by investing wisely in educational programs regarding approaches to minimize these risks, providing protective equipment, and eliminating the use of blood and body fluid precautions as an isolation policy.

What factors influence provider knowledge of a congestive heart failure guideline in a national health care system?

Provider knowledge is a potential barrier to adherence to clinical guidelines. The purpose of this study is to assess the impact of organizational, provider, and guideline factors on provider knowledge of a congestive heart failure (CHF) clinical practice guideline (CPG) in the Veterans Health Administration (VHA) health care system. We developed a survey to investigate institution-level factors influencing the effectiveness of guideline implementation, including characteristics of the guideline, providers, hospital culture and structure, and regional network. Survey participants were quality managers, primary care administrators, and other individuals involved in primary care CPG implementation at 143 VHA hospitals with ambulatory care clinics. Potential explanatory variables were grouped into 11 factors. Multivariate regression models assessed the association between these factors and reported levels of provider knowledge regarding the CHF guideline at the hospital level. Two hundred forty surveys from 126 of 143 (88%) VHA hospitals were returned. Provider knowledge of the CHF guideline was estimated as "great" or "very great" by 58% of respondents. Three predictor factors (dissemination approaches, use of technology in guideline implementation, and hospital culture) were independently associated (P < or = .05) with provider knowledge. Specific variables within these categories that were related to greater knowledge included physician belief that guidelines were applicable to their practice, distribution of guideline summaries, use of guideline storyboards in clinic areas, the use of technology (eg, electronic patient records) in CPG implementation, and establishment of implementation checkpoints and deadlines. Provider knowledge of guidelines is affected by factors at various organizational levels: dissemination approaches, use of technology, and hospital culture. Guideline implementation efforts that target multiple organizational levels may increase provider knowledge.

Facility-level factors influencing chronic heart failure care process performance in a national integrated health delivery system.

BACKGROUND: Gaps between evidence and practice in the care of patients with chronic heart failure (CHF) in the United States suggest major opportunities for improvement. However, the organizational factors and implementation approaches that influence adherence to national guidelines are poorly understood. OBJECTIVES: The objectives of this study were to explore the degree to which providers in the Veterans Health Administration system adhere to CHF clinical practice guidelines, and to identify facility-level factors influencing adherence. DESIGN: In a national cross-sectional study, facility quality managers were surveyed regarding quality improvement efforts, guideline implementation, and context. These data were linked to organizational structure data and provider adherence data from chart reviews. The unit of analysis was the facility. The data were adjusted for the average number of comorbidities per CHF patient. Multivariate logistic regression models were constructed to model factors affecting adherence to CHF guidelines. SAMPLE: The sample consisted of 143 Veterans Administration Medical Centers with ambulatory care clinics. RESULTS: The quality manager survey included data from 91% of facilities. Facility-level estimates of provider adherence measures were, on average, 85% or more for most measures. In multivariate analyses, facilities with higher levels of adherence were more likely to have: (1) providers who had been given a brief guideline summary, (2) providers receptive to the guidelines, (3) guideline-specific task forces to support implementation, and 4) a well-planned implementation process. CONCLUSIONS: Healthcare organizations should adapt implementation to meet local conditions, including creating guideline-specific task forces, developing a well-planned implementation process, fostering provider buy-in, and providing guideline summaries to providers.

Effects of depression and pain severity on satisfaction in medical outpatients: analysis of the Medical Outcomes Study.

Patient satisfaction has been used as a healthcare quality indicator. We examined how depression and pain severity affected satisfaction in medical outpatients. Data from the Medical Outcomes Study were analyzed. The primary outcomes were seven satisfaction domains from the Patient Satisfaction Questionnaire. Depression was identified through a clinical interview, and pain was assessed with the 36-item Short Form Bodily Pain scale. We performed multivariate linear regression to predict satisfaction in outpatients with depression and pain. Minor and major depression were present in 23.4% and 15.0% of the sample, respectively. Pain was present in more than half the patients (50.6%). Both minor and major depression as well as pain severity were strongly associated with lower satisfaction scores. Increased age and diagnosis of heart failure predicted higher satisfaction scores. Depression and pain have a substantial effect on patient satisfaction. Future studies should assess the reasons for dissatisfaction with care in patients with depression and pain.

Informatics implementation in the Veterans Health Administration (VHA) healthcare system to improve quality of care.

We describe VHA's information technology (IT) implementation from the providers' perspective, and identify factors influencing its effective implementation to improve care. We surveyed a stratified random national sample of 4227 clinicians from three VHA primary care provider groups: 1) physicians; 2) nurse practitioners, physician assistants; and 3) nurses. Facility-level IT support availability was rated across six dimensions: 1) access to literature/evidence, 2) computerized decision support, 3) computerized clinical data, 4) error reduction, 5) provider communication, and 6) patient communication. Factor analysis identified a 5-item scale (IT clinical support, á = 0.76). Generalized estimating equation models identified factors influencing IT clinical support. Complete data from 123 hospitals (1777 providers) were included. IT clinical support was higher in urban hospitals (p<0.05) and those with cooperative cultures (p<0.01). Opportunities exist to enhance effective use of IT to support clinical decision making, electronic communication with patients and access to recommendations while delivering care.

Does patient-centered care improve provision of preventive services?

OBJECTIVES: While patient-centered care (PCC) is desirable for many reasons, its relationship to treatment outcomes is controversial. We evaluated the relationship between PCC and the provision of preventive services. METHODS: We obtained facility-level estimates of how well each VA hospital provided PCC from the 1999 ambulatory Veterans Satisfaction Survey. PCC delivery was measured by the average percentage of responses per facility indicating satisfactory performance from items in 8 PCC domains: access, incorporating patient preferences, patient education, emotional support, visit coordination, overall coordination of care, continuity, and courtesy. Additional predictors included patient population and facility characteristics. Our outcome was a previously validated hospital-level benchmarking score describing facility-level performance across 12 U.S. Preventive Services Task Force-recommended interventions, using the 1999 Veterans Health Survey. RESULTS: Facility-level delivery of preventive services ranged from an overall mean of 90% compliance for influenza vaccinations to 18% for screening for seat belt use. Mean overall PCC scores ranged from excellent (>90% for the continuity of care and courtesy of care PCC domains) to modest (<70% for patient education). Correlates of better preventive service delivery included how often patients were able to discuss their concerns with their provider, the percent of visits at which patients saw their usual provider, and the percent of patients receiving >90% of care from a VA hospital. CONCLUSION: Improved communication between patients and providers, and continuity of care are associated with increased provision of preventive services, while other aspects of PCC are not strongly related to delivery of preventive services.

Organizational predictors of adherence to ambulatory care screening guidelines.

OBJECTIVE: The purpose of this study was to identify hospital organizational characteristics consistently associated with adherence to multiple clinical practice guidelines (CPGs). We examined the relationship between organizational and patient population characteristics and adherence to three screening CPGs implemented throughout the Veterans Health Administration (VHA). MATERIALS AND METHODS: The study included 114 acute care facilities. Three sources of data were used: 1998 American Hospital Association data, VHA External Peer Review Program data for 1998 and 1999, and the 1999 Veterans Satisfaction Survey. Organizational characteristics likely to affect adherence with the CPGs were classified into five conceptual domains (clinical emphasis, operational capacity, patient population, professionalism, and urbanicity). Organizational characteristics were ranked, based on their standardized beta coefficients in bivariate logistic regressions predicting the likelihood of adherence. Within-domain multivariable logistic analyses assessed the robustness of individual predictors of CPG adherence, controlling for other organizational factors within the same domain. RESULTS: Overall, 46 of 48 relationships in the bivariate logistic analyses were significant, and 43 of these remained significant in the within-domain multivariate analyses. The relative rankings of the variables as predictors of CPG adherence within conceptual domains were also quite consistent. CONCLUSIONS: Strong evidence was found for the importance of specific organizational factors, including mission, capacity, professionalism, and patient population characteristics that influence CPG adherence in a large multi-institutional sample involving multiple provider practices. Research and programs to improve adherence to CPGs and other quality improvement activities in hospitals should incorporate these organizational factors.