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.

Patient safety outcomes in small urban and small rural hospitals.

PURPOSE: To assess patient safety outcomes in small urban and small rural hospitals and to examine the relationship of hospital and patient factors to patient safety outcomes. METHODS: The Nationwide Inpatient Sample and American Hospital Association annual survey data were used for analyses. To increase comparability, the study sample was restricted to hospitals with fewer than 100 beds. Out of 292 hospitals in the sample, 185 were rural hospitals and 107 were urban hospitals. AHRQ Patient Safety Indicators (PSI) were used to examine 9 common patient safety outcomes at these hospitals. The unit of analysis was the patient. Associations between hospital location and patient and hospital characteristics were determined using 1-way analysis of variance (ANOVA) and Pearson chi-square test. Multivariable analysis using generalized estimating equation regression models assessed the relationship between hospital location and PSIs. RESULTS: Most of the observed rates for the 9 PSIs were higher (indicating worse outcomes) for small urban hospitals than for small rural hospitals. In the multivariable analyses, after adjusting for important patient and hospital characteristics, many of these differences disappeared, except for decubitus ulcer. Small urban hospitals had significantly higher odds for decubitus ulcer than small rural hospitals. CONCLUSION: These results deviate from findings in the literature that urban-rural differences in patient safety rates exist. This study highlights the importance of understanding the factors that differ between small urban and small rural hospitals while developing hospital-relevant patient safety interventions at these hospitals.

Do postoperative complications vary by hospital teaching status?

OBJECTIVE: The purpose of this paper is to assess postoperative patient safety outcomes across teaching and nonteaching hospitals and to examine the relation of hospital and patient factors to patient safety outcomes. RESEARCH DESIGN AND METHODS: The Nationwide Inpatient Sample and American Hospital Association annual survey data were used for analyses. Patient safety indicators (PSIs) developed by the Agency for Healthcare Research and Quality (AHRQ) were used to identify 6 postoperative PSIs. The study sample consisted of 646 acute care hospitals, divided into nonteaching (n = 400), minor teaching (n = 207), and major teaching hospitals (n = 39). The unit of analysis was the patient. Associations between hospital teaching status and patient and hospital characteristics were determined using one-way analysis of variance and Pearson chi test. Multivariable analysis using generalized estimating equation regression models assessed the relationship between teaching status and PSIs. RESULTS: Bivariate results showed higher observed PSI rates at major teaching hospitals. Results from multivariable analyses, after adjusting for hospital size, staffing variables, patient case mix, and other risk factors, showed that major teaching hospitals had significantly higher odds of postoperative pulmonary embolism or deep vein thrombosis and postoperative sepsis, lower odds of postoperative respiratory failure, and showed no difference for postoperative hip fracture, postoperative hematoma or hemorrhage, and postoperative physio-metabolic derangement. CONCLUSIONS: The present analysis found an inconsistent relationship between teaching status and postoperative patient safety event rates. Teaching status of the hospital was associated with numerous hospital and patient characteristics which mediate the relationship between teaching status and PSIs.

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.

Dual use of Medicare and the Veterans Health Administration: are there adverse health outcomes?

BACKGROUND: Millions of veterans are eligible to use the Veterans Health Administration (VHA) and Medicare because of their military service and age. This article examines whether an indirect measure of dual use based on inpatient services is associated with increased mortality risk. METHODS: Data on 1,566 self-responding men (weighted N = 1,522) from the Survey of Assets and Health Dynamics among the Oldest Old (AHEAD) were linked to Medicare claims and the National Death Index. Dual use was indirectly indicated when the self-reported number of hospital episodes in the 12 months prior to baseline was greater than that observed in the Medicare claims. The independent association of dual use with mortality was estimated using proportional hazards regression. RESULTS: 96 (11%) of the veterans were classified as dual users. 766 men (50.3%) had died by December 31, 2002, including 64.9% of the dual users and 49.3% of all others, for an attributable mortality risk of 15.6% (p < .003). Adjusting for demographics, socioeconomics, comorbidity, hospitalization status, and selection bias at baseline, as well as subsequent hospitalization for ambulatory care sensitive conditions, the independent effect of dual use was a 56.1% increased relative risk of mortality (AHR = 1.561; p = .009). CONCLUSION: An indirect measure of veterans' dual use of the VHA and Medicare systems, based on inpatient services, was associated with an increased risk of death. Further examination of dual use, especially in the outpatient setting, is needed, because dual inpatient and dual outpatient use may be different phenomena.

Antimicrobial use control measures to prevent and control antimicrobial resistance in US hospitals.

OBJECTIVE: Clinical practice guidelines and recommended practices to control use of antibiotics have been published, but the effect of these practices on antimicrobial resistance (AMR) rates in hospitals is unknown. The objective of this study was to examine relationships between antimicrobial use control strategies and AMR rates in a national sample of US hospitals. DESIGN: Cross-sectional, stratified study of a nationally representative sample of US hospitals. METHODS: A survey instrument was sent to the person responsible for infection control at a sample of 670 US hospitals. The outcome was current prevalences of 4 epidemiologically important, drug-resistant pathogens, considered concurrently: methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci, ceftazidime-resistant Klebsiella species, and quinolone (ciprofloxacin)-resistant Escherichia coli. Five independent variables regarding hospital practices were selected from the survey: the extent to which hospitals (1) implement practices recommended in clinical practice guidelines and ensure best practices for antimicrobial use, (2) disseminate information on clinical practice guidelines for antimicrobial use, (3) use antimicrobial-related information technology, (4) use decision support tools, and (5) communicate to prescribers about antimicrobial use. Control variables included the hospitals' number of beds, teaching status, Veterans Affairs status, geographic region, and number of long-term care beds; and the presence of an intensive care unit, a burn unit, or transplant services. A generalized estimating equation modeled all resistance rates simultaneously to identify overall predictors of AMR levels at the facility. RESULTS: Completed survey instruments were returned by 448 hospitals (67%). Four antimicrobial control measures were associated with higher prevalence of AMR. Implementation of recommended practices for antimicrobial use (P < .01) and optimization of the duration of empirical antibiotic prophylaxis (P < .01) were associated with a lower prevalence of AMR. Use of restrictive formularies (P = .05) and dissemination of clinical practice guideline information (P < .01) were associated with higher prevalence of AMR. Number of beds and Veterans Affairs status were also associated with higher AMR rates overall. CONCLUSIONS: Implementation of guideline-recommended practices to control antimicrobial use and optimize the duration of empirical therapy appears to help control AMR rates in US hospitals. A longitudinal study would confirm the results of this cross-sectional study. These results highlight the need for systems interventions and reengineering to ensure more-consistent application of guideline-recommended measures for antimicrobial use.

Clinical practice guidelines and organizational adaptation: a framework for analyzing economic effects.

OBJECTIVES: The overall objective of this article was to review the theoretical and conceptual dimensions of how the implementation of clinical practice guidelines (CPGs) is likely to affect treatment costs. METHODS: An important limitation of the extant literature on the cost effects of CPGs is that the main focus has been on clinical adaptation. We submit that the process innovation aspects of CPGs require changes in both clinical and organizational dimensions. We identify five organizational factors that are likely to affect the relationship between CPGs and total treatment costs: implementation, coordination, learning, human resources, and information. We review the literature supporting each of these factors. RESULTS: The net organizational effects of CPGs on costs depends on whether the cost-reducing properties of coordination, learning, and human resource management offset potential cost increases due to implementation and information management. CONCLUSIONS: Studies of the cost effects of clinical practice guidelines should attempt to measure, to the extent possible, the effects of each of these clinical and organizational factors.

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.

Provider adherence to COPD guidelines: relationship to organizational factors.

RATIONALE, AIMS AND OBJECTIVES: A clinical practice guideline for chronic obstructive pulmonary disease (COPD) was implemented in all Veterans Health Administration (VHA) hospitals in the US. The aim of the current analyses is to describe current adherence rates and the organizational factors related to provider adherence to the COPD guideline. METHODS: We administered a survey to key informants that assessed adherence to the COPD guideline, approaches to disseminating and implementing the COPD guideline, providers' views of the COPD guideline and guidelines in general, and attitudes about the organizational climate. RESULTS: Surveys were returned by 242 key informants (58%) at 130 of the 143 VHA hospitals (91%). Adherence to the COPD clinical practice guideline is perceived by quality managers within the VHA to be good. The final multivariable predictor model identified five measures that were related to provider adherence with the COPD guideline (R(2) = 0.43): responsibilities were changed to support adherence to the COPD guideline, physicians believe that guidelines implemented in the past year were applicable to their practice, patient care providers consistently participate in activities to improve the quality of care, the regional network office monitors the pace at which guidelines are implemented, and there is a system to provide feedback on routinely collected guideline adherence data collected in addition to External Peer Review Program data. CONCLUSIONS: Organizations can play an important role in providing a supportive climate to facilitate their providers' adherence to guidelines by implementing processes and culture changes that involve these five measures.

Implementation of strategies to prevent and control the emergence and spread of antimicrobial-resistant microorganisms in U.S. hospitals.

OBJECTIVE: To examine the extent to which the strategies recommended by the National Foundation for Infectious Diseases (NFID)-Centers for Disease Control and Prevention (CDC) co-sponsored workshop, Antimicrobial Resistance in Hospitals: Strategies to Improve Antimicrobial Use and Prevent Nosocomial Transmission of Antimicrobial-Resistant Microorganisms, have been implemented and the relationship between the degree of implementation and hospital culture, leadership, and organizational factors. DESIGN: Survey. SETTING: A representative sample of U.S. hospitals stratified by teaching status, bed size, and geographic region. PARTICIPANTS: Infection control professionals. RESULTS: Surveyed hospitals had implemented strategies to optimize the use of antimicrobials and to detect, report, and prevent transmission of antimicrobial-resistant microorganisms. Multivariate analyses found that hospitals with a greater degree of implementation of the NFID-CDC strategic goals were more likely to have management support, education of staff, and interdisciplinary groups specifically to address these issues; they were also more likely to engage in benchmarking on broader quality of care indicators. CONCLUSIONS: Most surveyed hospitals had implemented some measures to address the NFID-CDC recommendations; however, hospitals need to do much more to improve antimicrobial use and to increase their efforts to detect, report, and control the spread of antimicrobial resistance. A supportive hospital administration must foster a culture of ongoing support, education, and interdisciplinary work groups focused on this important issue to successfully accomplish these goals.

Variation in the use of procedures to monitor antimicrobial resistance in U.S. hospitals.

BACKGROUND: Antimicrobial resistance is a growing clinical and public health crisis. Experts have recommended measures to monitor antimicrobial resistance; however, little is known regarding their use. OBJECTIVE: We describe the use of procedures to detect and report antimicrobial resistance in U.S. hospitals and the organizational and epidemiologic factors associated with their use. METHODS: In 2001, we surveyed laboratory directors (n = 108) from a random national sample of hospitals. We studied five procedures to monitor antimicrobial resistance: (1) disseminating antibiograms to physicians at least annually, (2) notifying physicians of antimicrobial-resistant infections, (3) reporting susceptibility results within 24 hours, (4) using automated testing procedures, and (5) offering molecular typing. Explanatory variables included organizational characteristics and patterns of antimicrobial resistance for oxacillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, quinolone-resistant Escherichia coli, and extended-spectrum beta-lactamase-producing Klebsiella species. Generalized estimating equations accounting for the correlation among outcomes at the facility level were used to identify predictors of the five outcomes. RESULTS: Use of the procedures ranged from 85% (automated testing) to 33% (offering molecular typing) and was related to teaching hospital status (OR, 3.1; CI95, 1.5-6.5), participation of laboratory directors on the infection control committee (OR, 1.7; CI95, 1.1-2.8), and having at least one antimicrobial-resistant pathogen with a prevalence greater than 10% (OR, 2.2; CI95, 1.4-3.3). CONCLUSION: U.S. hospitals underutilize procedures to monitor the spread of antimicrobial resistance. Use of these procedures varies and is related to organizational and epidemiologic factors. Further efforts are needed to increase their use by hospitals.

VA QUERI informatics paper: information technology for clinical guideline implementation: perceptions of multidisciplinary stakeholders.

OBJECTIVE: This multisite study compared the perceptions of three stakeholder groups regarding information technologies as barriers to and facilitators of clinical practice guidelines (CPGs). DESIGN: The study settings were 18 U.S. Veterans Affairs Medical Centers. A purposive sample of 322 individuals participated in 50 focus groups segmented by profession and included administrators, physicians, and nurses. Focus group participants were selected based on their knowledge of practice guidelines and involvement in facility-wide guideline implementation. MEASUREMENTS: Descriptive content analysis of 1,500 pages of focus group transcripts. RESULTS: Eighteen themes clustered into four domains. Stakeholders were similar in discussing themes in the computer function domain most frequently but divergent in other domains, with workplace factors more often discussed by administrators, system design issues discussed most by nurses, and personal concerns discussed by physicians and nurses. Physicians and nurses most often discussed barriers, whereas administrators focused most often on facilitation. Facilitators included guideline maintenance and charting formats. Barriers included resources, attitudes, time and workload, computer glitches, computer complaints, data retrieval, and order entry. Themes with dual designations included documentation, patient records, decision support, performance evaluation, CPG implementation, computer literacy, essential data, and computer accessibility. CONCLUSION: Stakeholders share many concerns regarding the relationships between information technologies and clinical guideline use. However, administrators, physicians, and nurses hold different opinions about specific facilitators and barriers. Health professionals' disparate perceptions could undermine guideline initiatives. Implementation plans should specifically incorporate actions to address these barriers and enhance the facilitative aspects of information technologies in clinical practice guideline use.

Classifying the effectiveness of Veterans Affairs guideline implementation approaches.

Hospitals use numerous guideline implementation approaches with varying success. Approaches have been classified as consistently, variably, or minimally effective, with multiple approaches being most effective. This project assesses the Department of Veterans Affairs (VA) use of effective guideline implementation approaches. A survey of 123 VA quality managers assessed the approaches used to implement the chronic obstructive pulmonary disease, diabetes mellitus, congestive heart failure, and major depressive disorder guidelines. Approaches were categorized based on their effectiveness, and the total number of approaches used was calculated. Commonly used approaches were clinical meetings, summaries, and revised forms. Consistently and minimally effective approaches were used most frequently. Most hospitals used 4-7 approaches. Odds ratios demonstrated that consistently effective approaches were paired with minimally and variably effective approaches. The frequent use of consistently effective approaches and multiple approaches benefits VA adherence. However, VA hospitals should consider selective combinations of approaches to ensure the use of the most effective implementation methods.

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.

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.

Physician process and patient outcome measures for diabetes care: relationships to organizational characteristics.

BACKGROUND: Optimal diabetes management relies on providers adhering to evidence-based practice guidelines in the processes of care delivery and patients adhering to self-management recommendations to maximize patient outcomes. PURPOSE: To explore: (1) the degree to which providers adhere to the guidelines; (2) the extent of glycemic, lipid, and blood pressure control in patients with diabetes; and (3) the roles of organizational and patient population characteristics in affecting both provider adherence and patient outcome measures for diabetes. DESIGN: Secondary data analysis of provider adherence and patient outcome measures from chart reviews, along with surveys of facility quality managers. SAMPLE: We sampled 109 Veterans Affairs medical centers (VAMCs). RESULTS: Analyses indicated that provider adherence to diabetes guidelines (ie, hemoglobin A1c, foot, eye, renal, and lipid screens) and patient outcome measures (ie, glycemic, lipid, and hypertension control plus nonsmoking status) are comparable or better in VAMCs than reported elsewhere. VAMCs with higher levels of provider adherence to diabetes guidelines had distinguishing organizational characteristics, including more frequent feedback on diabetes quality of care, designation of a guideline champion, timely implementation of quality-of-care changes, and greater acceptance of guideline applicability. VAMCs with better patient outcome measures for diabetes had more effective communication between physicians and nurses, used educational programs and Grand Rounds presentations to implement the diabetes guidelines, and had an overall patient population that was older and with a smaller percentage of black patients. CONCLUSIONS: Healthcare organizations can adopt many of the identified organizational characteristics to enhance the delivery of care in their settings.

Antimicrobial resistance trends and outbreak frequency in United States hospitals.

We assessed resistance rates and trends for important antimicrobial-resistant pathogens (oxacillin-resistant Staphylococcus aureus [ORSA], vancomycin-resistant Enterococcus species [VRE], ceftazidime-resistant Klebsiella species [K-ESBL], and ciprofloxacin-resistant Escherichia coli [QREC]), the frequency of outbreaks of infection with these resistant pathogens, and the measures taken to control resistance in a stratified national sample of 670 hospitals. Four hundred ninety-four (74%) of 670 surveys were returned. Resistance rates were highest for ORSA (36%), followed by VRE (10%), QREC (6%), and K-ESBL (5%). Two-thirds of hospitals reported increasing ORSA rates, whereas only 4% reported decreasing rates, and 24% reported ORSA outbreaks within the previous year. Most hospitals (87%) reported having implemented measures to rapidly detect resistance, but only approximately 50% reported having provided appropriate resources for antimicrobial resistance prevention (53%) or having implemented antimicrobial use guidelines (60%). The most common resistant pathogen in US hospitals is ORSA, which accounts for many recognized outbreaks and is increasing in frequency in most facilities. Current practices to prevent and control antimicrobial resistance are inadequate.

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.

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.

Effectiveness of a nationally implemented smoking cessation guideline on provider and patient practices.

BACKGROUND: The Agency for Health Care Policy and Research (AHCPR) smoking cessation guideline outlines a set of recommendations for physicians to follow in daily practice. However, the effectiveness of this guideline has not been reported. The goal of this project was to evaluate the effect of the AHCPR smoking cessation guideline on provider practices with smokers and on patient smoking rates. METHODS: Patient survey and chart review data from 138 Veterans Administration (VA) acute care medical centers with outpatient facilities were examined. Data were available from both sources in 1996, 1997, and 1998. At the midpoint of this period (1997), the VA recommended the AHCPR smoking cessation clinical practice guideline for implementation throughout the VA healthcare system. RESULTS: From 1996 to 1998, both the chart audit and the patient survey showed a significant increase in the percentage of patients in the VA who were counseled about smoking and a significant decrease in the percentage of patients who smoke. CONCLUSIONS: Because the VA tied the guideline implementation to report cards and other performance-enhancing measures, guideline adherence may have been maximized in this setting. These findings suggest that healthcare systems should take an integrated approach to guideline implementation.