Ruth A. Anderson

Nursing homes as complex adaptive systems: Relationship between management practice and resident outcomes

BackgroundDespite numerous clinical and regulatory efforts, problems of poor quality of care in nursing homes continue, suggesting a need for effective management practices. ObjectiveTo 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. MethodA 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. ResultsHypotheses 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. DiscussionComplexity 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.

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.

Managing health care organizations: where professionalism meets complexity science.

This article examines the intersection of professionalism and complexity science as a source of new insights for improving the health care industry from both a clinical and business point of view. Viewing health care organizations as professional complex adaptive systems suggests eight leadership tasks for addressing the circumstances that engulf health care. Managers who adopt this view will be able to create new levers for positive movement in their organizations.

Caregiver staffing in nursing homes and their influence on quality of care: using dynamic panel estimation methods.

BackgroundThere is inconclusive evidence that nursing home caregiver staffing characteristics influence quality of care. In this research, the relationship of caregiver staffing levels, turnover, agency use, and professional staff mix with quality is further examined using a longitudinal analysis to overcome weaknesses of earlier research. MethodsThe data used came from a survey of nursing home administrators, Nursing Home Compare, the Online Survey Certification and Reporting data, and the Area Resource File. The staffing variables of Registered Nurses, Licensed Practical Nurses, and Nurse Aides were measured quarterly from 2003 through 2007, and came from 2839 facilities. Generalized method of moments estimation was used to examine the effects of changes in staffing characteristics on changes in 4 quality measures (physical restraint use, catheter use, pain management, and pressure sores). ResultsRegression analyses show a robust association between the staffing characteristic variables and quality indicators. A change to more favorable staffing is generally associated with a change to better quality. ConclusionsWith longitudinal information and quarterly staffing information, we are able to show that for many nursing homes improving staffing characteristics will improve quality of care.

Resource allocation and resident outcomes in nursing homes: comparisons between the best and worst.

The purpose of this study was to identify patterns of resource allocation that relate to resident outcomes in nursing homes. Data on structure, staffing levels, salaries, cost, case mix, and resident outcomes were obtained from state-level, administrative databases on 494 nursing homes. We identified two sets of comparison groups and showed that the group of homes with the greatest percentage of improvement in resident outcomes had higher levels of registered nurse (RN) staffing and higher costs. However, comparison groups based on best-worst average outcomes did not differ in resource allocation patterns. Additional analysis demonstrated that when controlling for RN staffing, resident outcomes in high- and low-cost homes did not differ. The results suggest that, although RN staffing is more expensive, it is key to improving resident outcomes.

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.

Rn Participation in Organizational Decision Making and Improvements in Resident Outcomes

In the study on which this article is based, nursing homes with the most improvements in resident outcomes had greater registered nurse (RN) participation in decision making than did homes with the least improvements. The results suggest that nursing homes that want to improve quality can use RN participation to make improvements without significantly increasing costs. Complexity theory served as a framework for the study.

Barriers to and Facilitators of Clinical Practice Guideline Use in Nursing Homes

OBJECTIVES: To identify barriers to and facilitators of the diffusion of clinical practice guidelines (CPGs) and clinical protocols in nursing homes (NHs).

Patterns of Medical and Nursing Staff Communication in Nursing Homes: Implications and Insights From Complexity Science

Complexity science teaches that relationships among health care providers are key to our understanding of how quality care emerges. The authors sought to compare the effects of differing patterns of medicine-nursing communication on the quality of information flow, cognitive diversity, self-organization, and innovation in nursing homes. Two facilities participated in 6-month case studies using field observations, shadowing, and depth interviews. In one facility, the dominant pattern of communication was a vertical “chain of command” between care providers, characterized by thin connections and limited information exchange. This pattern limited cognitive diversity and innovation in clinical problem solving. The second facility used an open communication pattern between medical and frontline staff. The authors saw higher levels of information flow, cognitive diversity, innovation, and self-organization, although tempered by staff turnover. The patterns of communication between care providers in nursing facilities have an important impact on their ability to provide quality, innovative care.

Implications of complex adaptive systems theory for interpreting research about health care organizations

RATIONALE Data about health care organizations (HCOs) are not useful until they are interpreted. Such interpretations are influenced by the theoretical lenses used by the researcher. OBJECTIVE Our purpose was to suggest the usefulness of theories of complex adaptive systems (CASs) in guiding research interpretation. Specifically, we addressed two questions: (1) What are the implications for interpreting research observations in HCOs of the fact that we are observing relationships among diverse agents? (2) What are the implications for interpreting research observations in HCOs of the fact that we are observing relationships among agents that learn? METHODS We defined diversity and learning and the implications of the non-linear relationships among agents from a CAS perspective. We then identified some common analytical practices that were problematic and may lead to conceptual and methodological errors. Then we described strategies for interpreting the results of research observations. CONCLUSIONS We suggest that the task of interpreting research observations of HCOs could be improved if researchers take into account that the systems they study are CASs with non-linear relationships among diverse, learning agents. Our analysis points out how interpretation of research results might be shaped by the fact that HCOs are CASs. We described how learning is, in fact, the result of interactions among diverse agents and that learning can, by itself, reduce or increase agent diversity. We encouraged researchers to be persistent in their attempts to reason about complex systems and learn to attend not only to structures, but also to processes and functions of complex systems.