25 research outputs found
Differences in work environment for staff as an explanation for variation in central line bundle compliance in intensive care units.
BACKGROUND: Central line-associated bloodstream infections (CLABSIs) are a common and costly quality problem, and their prevention is a national priority. A decade ago, researchers identified an evidence-based bundle of practices that reduce CLABSIs. Compliance with this bundle remains low in many hospitals.
PURPOSE: The aim of this study was to assess whether differences in core aspects of work environments-workload, quality of relationships, and prioritization of quality-are associated with variation in maximal CLABSI bundle compliance, that is, compliance 95%-100% of the time in intensive care units (ICUs).
METHODOLOGY/APPROACH: A cross-sectional study of hospital medical-surgical ICUs in the United States was done. Data on work environment and bundle compliance were obtained from the Prevention of Nosocomial Infections and Cost-Effectiveness Refined Survey completed in 2011 by infection prevention directors, and data on ICU and hospital characteristics were obtained from the National Healthcare Safety Network. Factor and multilevel regression analyses were conducted.
FINDINGS: Reasonable workload and prioritization of quality were positively associated with maximal CLABSI bundle compliance. High-quality relationships, although a significant predictor when evaluated apart from workload and prioritization of quality, had no significant effect after accounting for these two factors.
PRACTICE IMPLICATIONS: Aspects of the staff work environment are associated with maximal CLABSI bundle compliance in ICUs. Our results suggest that hospitals can foster improvement in ensuring maximal CLABSI bundle compliance-a crucial precursor to reducing CLABSI infection rates-by establishing reasonable workloads and prioritizing quality
Measuring patient-centered care for specific populations: A necessity for improvement
The measurement of patient-centered care (PCC) is a fundamental component of assessing and improving health care quality. There are a variety of PCC measures available which have been tailored to different health care conditions and settings. These distinct measures are valuable given the diversity of health conditions and contexts encountered in the health care system. However, the type of patient has received significantly less attention when measuring PCC despite the multitude of unique patient populations that exist. Specific patient populations raise several core challenges for PCC measurement to which researchers and practitioners need to attend: identifying what principles to measure, who is the most appropriate assessor, and how best to measure PCC. Examples of specific patient populations include geriatric patients, refugees, migrants and dyadic patients. Dyadic patients, such as the mother-infant dyad, are two individual, independent, yet inextricably linked patients who require simultaneous care. In this commentary, we use the mother-infant dyad as one example of a specific population to illustrate the challenges and argument for why additional specific patient populations warrant dedicated measures of PCC.
Experience Framework
This article is associated with the Policy & Measurement lens of The Beryl Institute Experience Framework. (http://bit.ly/ExperienceFramework) Access other PXJ articles related to this lens. Access other resources related to this lens
Blueprint for the Dissemination of Evidence-Based Practices in Health Care
Proposes strategies for better dissemination of best practices through quality improvement campaigns, including campaigns aligned with adopting organizations' goals, practical implementation tools and guides, and networks to foster learning opportunities
The Role of Social Influence and Network Churn in Beliefs about Electronic Medical Record Technology
Professionalizing Healthcare Management: A Descriptive Case Study
Despite international recognition of the importance of healthcare management in the development of high-performing
systems, the path by which countries may develop and sustain a professional healthcare management workforce has
not been articulated. Accordingly, we sought to identify a set of common themes in the establishment of a professional
workforce of healthcare managers in low- and middle-income country (LMIC) settings using a descriptive case study
approach. We draw on a historical analysis of the development of this profession in the United States and Ethiopia to
identify five common themes in the professionalization of healthcare management: (1) a country context in which
healthcare management is demanded; (2) a national framework that elevates a professional management role; (3)
standards for healthcare management, and a monitoring function to promote adherence to standards; (4) a graduatelevel educational path to ensure a pipeline of well-prepared healthcare managers; and (5) professional associations to
sustain and advance the field. These five components can to inform the creation of a long-term national strategy for
the development of a professional cadre of heathcare managers in LMIC settings
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Research in action: using positive deviance to improve quality of health care
Background
Despite decades of efforts to improve quality of health care, poor performance persists in many aspects of care. Less than 1% of the enormous national investment in medical research is focused on improving health care delivery. Furthermore, when effective innovations in clinical care are discovered, uptake of these innovations is often delayed and incomplete. In this paper, we build on the established principle of 'positive deviance' to propose an approach to identifying practices that improve health care quality.
Methods
We synthesize existing literature on positive deviance, describe major alternative approaches, propose benefits and limitations of a positive deviance approach for research directed toward improving quality of health care, and describe an application of this approach in improving hospital care for patients with acute myocardial infarction.
Results
The positive deviance approach, as adapted for use in health care, presumes that the knowledge about 'what works' is available in existing organizations that demonstrate consistently exceptional performance. Steps in this approach: identify 'positive deviants,' i.e., organizations that consistently demonstrate exceptionally high performance in the area of interest (e.g., proper medication use, timeliness of care); study the organizations in-depth using qualitative methods to generate hypotheses about practices that allow organizations to achieve top performance; test hypotheses statistically in larger, representative samples of organizations; and work in partnership with key stakeholders, including potential adopters, to disseminate the evidence about newly characterized best practices. The approach is particularly appropriate in situations where organizations can be ranked reliably based on valid performance measures, where there is substantial natural variation in performance within an industry, when openness about practices to achieve exceptional performance exists, and where there is an engaged constituency to promote uptake of discovered practices.
Conclusion
The identification and examination of health care organizations that demonstrate positive deviance provides an opportunity to characterize and disseminate strategies for improving quality
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A quasi-experiment assessing the six-months effects of a nurse care coordination program on patient care experiences and clinician teamwork in community health centers
Background
Recognition that coordination among healthcare providers is associated with better quality of care and lower costs has increased interest in interventions designed to improve care coordination. One intervention is to add care coordination to nurses’ role in a formal way. Little is known about effects of this approach, which tends to be pursued by small organizations and those in lower-resource settings. We assessed effects of this approach on care experiences of high-risk patients (those most in need of care coordination) and clinician teamwork during the first 6 months of use.
Methods
We conducted a quasi-experimental study using a clustered, controlled pre-post design. Changes in staff and patient experiences at six community health center practice locations that introduced the added-role approach for high-risk patients were compared to changes in six locations without the program in the same health system. In the pre-period (6 months before intervention training) and post-period (about 6 months after intervention launch, following 3 months of training), we surveyed clinical staff (N = 171) and program-qualifying patients (3007 pre-period; 2101 post-period, including 113 who were enrolled during the program’s first 6 months). Difference-in-differences models examined study outcomes: patient reports about care experiences and clinician-reported teamwork. We assessed frequency of patient office visits to validate access and implementation, and contextual factors (training, resources, and compatibility with other work) that might explain results.
Results
Patient care experiences across all high-risk patients did not improve significantly (p > 0.05). They improved somewhat for program enrollees, 5% above baseline reports (p = 0.07). Staff-perceived teamwork did not change significantly (p = 0.12). Office visits increased significantly for enrolled patients (p < 0.001), affirming program implementation (greater accessing of care). Contextual factors were not reported as problematic, except that 41% of nurses reported incompatibility between care coordination and other job demands. Over 75% of nurses reported adequate training and resources.
Conclusions
There were some positive effects of adding care coordination to nurses’ role within 6 months of implementation, suggesting value in this improvement strategy. Addressing compatibility between coordination and other job demands is important when implementing this approach to coordination
Contemporary evidence: baseline data from the D2B Alliance
© 2008 Bradley et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens