7 characteristics of successful work relationships.
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Communication↗
Biomedical subjects
Reuben R McDaniel
Publications and source records attributed to Reuben R McDaniel.
How complexity science can inform a reflective process for improvement in primary care practices.
BACKGROUND: Quality improvement processes have sometimes met with limited success in small, independent primary care settings. The theoretical framework for these processes uses an implied understanding of organizations as predictable with potentially controllable components. However, most organizations are not accurately described using this framework. Complexity science provides a better fit for understanding small primary care practices. METHODS: The Multimethod Assessment Process (MAP)/Reflective Adaptive Process (RAP) is informed by complexity science. This process was developed in a series of studies designed to understand and improve primary care practice. A case example illustrates the application and impact of the MAP/RAP process. RESULTS: Guiding principles for a reflective change process include the following: an understanding of practices' vision and mission is useful in guiding change, learning and reflection helps organizations adapt to and plan change, tension and discomfort are essential and normal during change, and diverse perspectives foster adaptability and new insights for positive change. DISCUSSION: A reflective change process that treats organizations as complex adaptive systems may help practices make sustainable improvements.
Organizational Case Studies↗
Case study research: the view from complexity science.
Many wonder why there has been so little change in care quality despite substantial quality improvement efforts. Questioning why current approaches are not making true changes draws attention to the organization as a source of answers. The authors bring together the case study method and complexity science to suggest new ways to study health care organizations. The case study provides a method for studying systems. Complexity theory suggests that keys to understanding the system are contained in patterns of relationships and interactions among the system's agents. They propose some of the "objects" of study that are implicated by complexity theory and discuss how studying these using case methods might provide useful maps of the system. They offer complexity theory, partnered with case study method, as a place to begin the daunting task of studying a system as an integrated whole.
Delivery of Health Care, Integrated↗
Nurse assistant mental models, sensemaking, care actions, and consequences for nursing home residents.
In a nursing home case study using observation and interview data, the authors described two mental models that guided certified nurse assistants (CNAs) in resident care. The Golden Rule guided CNAs to respond to residents as they would want someone to do for them. Mother wit guided CNAs to treat residents as they would treat their own children. These mental models engendered self-control and affection but also led to actions such as infantilization and misinterpretations about potentially undiagnosed conditions such as depression or pain. Furthermore, the authors found that CNAs were isolated from clinicians; little resident information was exchanged. They suggest ways to alter CNA mental models to give them a better basis for action and strategies for connecting CNAs and clinical professionals to improve information flow about residents. Study results highlight a critical need for registered nurses (RNs) to be involved in frontline care.
Altruism↗
Complexity science and the dynamics of climate and communication: reducing nursing home turnover.
PURPOSE: Turnover in nursing homes is a widespread problem adversely affecting care quality. Using complexity theory, we tested the effect of administrative climate, communication patterns, and the interaction between the two on turnover, controlling for facility context. DESIGN AND METHODS: Perceptions of administrative climate and communication were collected from 3,449 employees in 164 randomly sampled nursing homes, and they were linked to secondary data on facility characteristics, resource allocation, and turnover. We used hierarchical regression to test the hypotheses. RESULTS: Climate and communication both affected turnover, but lower turnover was dependent on the interaction between climate and communication. In nursing homes with reward-based administrative climates, higher levels of communication openness and accuracy explained lower turnover of licensed vocational nurses and certified nurse assistants, relative to nursing homes with an ambiguous climate. Adequate staffing and longer tenure of the nursing director were also important predictors of turnover. IMPLICATIONS: Although context is important, managers can also influence turnover by addressing climate and communication patterns and by encouraging stable nursing leadership.
Communication↗
Surprise, Surprise, Surprise! A complexity science view of the unexpected.
Surprise can emanate from two sources: lack of sufficient information or knowledge and the basic dynamics of complex adaptive systems. The authors expand the traditional view of surprise with a complexity perspective that makes it possible to ask new questions and to consider new ways of understanding the world around us. They discuss creativity and learning as two strategies for capitalizing on the surprises that confront organizations.
Creativity↗
Nursing homes as complex adaptive systems: relationship between management practice and resident outcomes.
BACKGROUND: Despite numerous clinical and regulatory efforts, problems of poor quality of care in nursing homes continue, suggesting a need for effective management practices. OBJECTIVE: To test complexity hypotheses about the relationship between management practices (communication openness, decision making, relationship-oriented leadership, and formalization) and resident outcomes (aggressive behavior, restraint use, immobility of complications, and fractures), while controlling for case mix, size, ownership, and director's tenure and experience. METHOD: A cross-sectional correlational field study design was used. Primary data were obtained from directors of nursing and registered nurses employed in 164 Texas nursing homes. Investigators administered self-report surveys onsite. Secondary data were obtained from 1995 Medicaid Cost Reports and the Texas nursing home Minimum Data Set (MDS) and were linked to primary data using a unique identifier. RESULTS: Hypotheses were supported in that each management practice explained one or more of the resident outcomes. Larger size and longer director of nursing tenure and experience also explained better resident outcomes. Predictors explained 11% ñ 21% of the variance. DISCUSSION: Complexity science was used to explain the results. The findings open the door to rethinking nursing home management practice. Practices that increase communication and interaction among people are needed for better resident outcomes.
Adult↗
Delivery of clinical preventive services in family medicine offices.
BACKGROUND: This study aimed to elucidate how clinical preventive services are delivered in family practices and how this information might inform improvement efforts. METHODS: We used a comparative case study design to observe clinical preventive service delivery in 18 purposefully selected Midwestern family medicine offices from 1997 to 1999. Medical records, observation of outpatient encounters, and patient exit cards were used to calculate practice-level rates of delivery of clinical preventive services. Field notes from direct observation of clinical encounters and prolonged observation of the practice and transcripts from in-depth interviews of practice staff and physicians were systematically examined to identify approaches to delivering clinical preventive services recommended by the US Preventive Services Task Force. RESULTS: Practices developed individualized approaches for delivering clinical preventive services, with no one approach being successful across practices. Clinicians acknowledged a 3-fold mission of providing acute care, managing chronic problems, and prevention, but only some made prevention a priority. The clinical encounter was a central focus for preventive service delivery in all practices. Preventive services delivery rates often appeared to be influenced by competing demands within the clinical encounter (including between different preventive services), having a physician champion who prioritized prevention, and economic concerns. CONCLUSIONS: Practice quality improvement efforts that assume there is an optimal approach for delivering clinical preventive services fail to account for practices' propensity to optimize care processes to meet local contexts. Interventions to enhance clinical preventive service delivery should be tailored to meet the local needs of practices and their patient populations.
Family Practice↗
Understanding organizational designs of primary care practices.
During the past decade, many hospitals experienced difficulty integrating primary care practices into their health systems. We hypothesized that this difficulty may be, in part, a result of limited understanding of practice organizational designs. The structure and function of practices have not been well studied. In this article, we answer the following questions: Are practices all the same, or do variations in their organizational design exist? Do hospital designs predict the designs of affiliated practices? If variation exists, what are the management implications? Eighteen family practices, including nine affiliated with five separate hospital systems, were studied using an in-depth comparative case study design. A content analysis of the rich descriptive data from these cases indicates that a great variety exists in the organizational design of primary care practices, and this variety appears to be influenced by the initial conditions under which the practice was organized. Hospital system design in and of itself did not predict the design of affiliated practices. In fact, both affiliated and independent practices exhibited a range of design characteristics, some of which did not fit traditional models. Hospital systems that allowed greater flexibility of practice organizational designs were more effective at integrating and managing practices. Practices response to environmental change was greater when practice autonomy was highest. These findings suggest that a science of practice organizational design separate from that of hospitals is needed to help explain the success and failure of practices within health systems and to provide information for planning practice change.
Delivery of Health Care, Integrated↗
A practice change model for quality improvement in primary care practice.
Faced with a rapidly changing healthcare environment, primary care practices often have to change how they practice medicine. Yet change is difficult, and the process by which practice improvement can be understood and facilitated has not been well elucidated. Therefore, we developed a model of practice change using data from a quality improvement intervention that was successful in creating a sustainable practice improvement. A multidisciplinary team evaluated data from the Study To Enhance Prevention by Understanding Practice (STEP-UP), a randomized clinical trial conducted to improve the delivery of evidence-based preventive services in 79 northeastern Ohio practices. The team conducted comparative case-study analyses of high- and low-improvement practices to identify variables that are critical to the change process and to create a conceptual model for the change. The model depicts the critical elements for understanding and guiding practice change and emphasizes the importance of these elements' evolving interrelationships. These elements are (1) motivation of key stakeholders to achieve the target for change; (2) instrumental, personal, and interactive resources for change; (3) motivators outside the practice, including the larger healthcare environment and community; and (4) opportunities for change--that is, how key stakeholders understand the change options. Change is influenced by the complex interaction of factors inside and outside the practice. Interventions that are based on understanding the four key elements and their interrelationships can yield sustainable quality improvements in primary care practice.
Female↗