MDS coordinator relationships and nursing home care processes

A scoping review of complexity science in nursing

AIM

To describe how complexity science has been integrated into nursing.

DESIGN

A scoping review.

DATA SOURCE/REVIEW METHOD

Academic Search Elite, Scopus, PsycINFO, Cumulative Index to Nursing and Allied Health Literature, PubMed and Web of Science were searched November 2016, updated in October 2017 and January 2020. The working process included: problem identification, literature search, data evaluation, synthesizing and presentation.

RESULTS

Four categories were found in the included 89 articles: (a) how complexity science is integrated into the nursing literature in relation to nursing education and teaching; (b) patients' symptoms, illness outcome and safety as characteristics of complexity science in nursing; (c) that leaders and managers should see organizations as complex and adaptive systems, rather than as linear machines; and (d) the need for a novel approach to studying complex phenomena such as healthcare organizations. Lastly, the literature explains how complexity science has been incorporated into the discourse in nursing and its development.

CONCLUSION

The review provided strong support for use in complexity science in the contemporary nursing literature. Complexity science is also highly applicable and relevant to clinical nursing practice and nursing management from an organizational perspective. The application of complexity science as a tool in the analysis of complex nursing systems could improve our understanding of effective interactions among patients, families, physicians and hospital and skilled nursing facility staff as well as of education.

IMPACT

Understanding complexity science in relation to the key role of nurses in the healthcare environment can improve nursing work and nursing theory development. The use of complexity science provides nurses with a language that liberates them from the reductionist view on nursing education, practice and management.

Scoping review of complexity theory in health services research

Background

There are calls for better application of theory in health services research. Research exploring knowledge translation and interprofessional collaboration are two examples, and in both areas, complexity theory has been identified as potentially useful. However, how best to conceptualize and operationalize complexity theory in health services research is uncertain. The purpose of this scoping review was to explore how complexity theory has been incorporated in health services research focused on allied health, medicine, and nursing in order to offer guidance for future application. Given the extensiveness of how complexity theory could be conceptualized and ultimately operationalized within health services research, a scoping review of complexity theory in health services research is warranted.

Methods

A scoping review of published research in English was conducted using CINAHL, EMBASE, Medline, Cochrane, and Web of Science databases. We searched terms synonymous with complexity theory.

Results

We included 44 studies in this review: 27 were qualitative, 14 were quantitative, and 3 were mixed methods. Case study was the most common method. Long-term care was the most studied setting. The majority of research was exploratory and focused on relationships between health care workers. Authors most commonly used complexity theory as a conceptual framework for their study. Authors described complexity theory in their research in a variety of ways. The most common attributes of complexity theory used in health services research included relationships, self-organization, and diversity. A common theme across descriptions of complexity theory is that authors incorporate aspects of the theory related to how diverse relationships and communication between individuals in a system can influence change.

Conclusion

Complexity theory is incorporated in many ways across a variety of research designs to explore a multitude of phenomena.. Although complexity theory shows promise in health services research, particularly related to relationships and interactions, conceptual confusion and inconsistent application hinders the operationalization of this potentially important perspective. Generalizability from studies that incorporate complexity theory is, therefore, difficult. Heterogeneous conceptualization and operationalization of complexity theory in health services research suggests there is no universally agreed upon approach of how to use this theory in health services research. Future research should include clear definitions and descriptions of complexity and how it was used in studies. Clear reporting will aid in determining how best to use complexity theory in health services research.

Comprehensive Care Plan Development Using Resident Assessment Instrument Framework: Past, Present, and Future Practices

Development of the comprehensive care plan (CCP) is a requirement for nursing homes participating in the federal Medicare and Medicaid programs, referred to as skilled nursing facilities. The plan must be developed within the context of the comprehensive interdisciplinary assessment framework-the Resident Assessment Instrument (RAI). Consistent compliance with this requirement has been difficult to achieve. To improve the quality of CCP development within this framework, an increased understanding of complex factors contributing to inconsistent compliance is required. In this commentary, we examine the history of the comprehensive care plan; its development within the RAI framework; linkages between the RAI and registered nurse staffing; empirical evidence of the CCP's efficacy; and the limitations of extant standards of practices in CCP development. Because of the registered nurse's educational preparation, professional practice standards, and licensure obligations, the essential contributions of professional nurses in CCP development are emphasized. Recommendations for evidence-based micro and macro level practice changes with the potential to improve the quality of CCP development and regulatory compliance are presented. Suggestions for future research are given.

"Striving for Excellence": Minimum Data Set Coordinators' Perceptions of Their Role in the Nursing Home

The purpose of the current study was to explore how Minimum Data Set (MDS) coordinators perceive their role and the assessment process. Eleven MDS coordinators from 10 geographically dispersed nursing homes (NHs) were interviewed between May and September 2013. Four broad themes emerged from content analysis: (a) information gathering, (b) interdisciplinary coordination, (c) role challenges, and (d) resources. The first two themes referred to key components and competencies in the MDS coordinators' role, the third theme dealt with certain challenges inherent in the role, and the fourth theme highlighted resources that helped address these challenges. The current study provides insight into how MDS coordinators perceive their role, as well as some of the challenges they face to successfully enact that role. The current findings can help inform NH management staff, such as directors of nursing and NH administrators, and policy makers, on how best to support MDS coordinators' work to enable efficient and accurate resident assessment processes.

Local interaction strategies and capacity for better care in nursing homes: a multiple case study

Background

To describe relationship patterns and management practices in nursing homes (NHs) that facilitate or pose barriers to better outcomes for residents and staff.

Methods

We conducted comparative, multiple-case studies in selected NHs (N = 4). Data were collected over six months from managers and staff (N = 406), using direct observations, interviews, and document reviews. Manifest content analysis was used to identify and explore patterns within and between cases.

Results

Participants described interaction strategies that they explained could either degrade or enhance their capacity to achieve better outcomes for residents; people in all job categories used these ‘local interaction strategies’. We categorized these two sets of local interaction strategies as the ‘common pattern’ and the ‘positive pattern’ and summarize the results in two models of local interaction.

Conclusions

The findings suggest the hypothesis that when staff members in NHs use the set of positive local interaction strategies, they promote inter-connections, information exchange, and diversity of cognitive schema in problem solving that, in turn, create the capacity for delivering better resident care. We propose that these positive local interaction strategies are a critical driver of care quality in NHs. Our hypothesis implies that, while staffing levels and skill mix are important factors for care quality, improvement would be difficult to achieve if staff members are not engaged with each other in these ways.

CONNECT for better fall prevention in nursing homes: results from a pilot intervention study

OBJECTIVES

To determine whether an intervention that improves nursing home (NH) staff connections, communication, and problem solving (CONNECT) would improve implementation of a falls reduction education program (FALLS).

DESIGN

Cluster randomized trial.

SETTING

Community (n=4) and Veterans Affairs (VA) NHs (n=4).

PARTICIPANTS

Staff in any role with resident contact (n=497).

INTERVENTION

NHs received FALLS alone (control) or CONNECT followed by FALLS (intervention), each delivered over 3 months. CONNECT used storytelling, relationship mapping, mentoring, self-monitoring, and feedback to help staff identify communication gaps and practice interaction strategies. FALLS included group training, modules, teleconferences, academic detailing, and audit and feedback.

MEASUREMENTS

NH staff completed surveys about interactions at baseline, 3 months (immediately after CONNECT or control period), and 6 months (immediately after FALLS). A random sample of resident charts was abstracted for fall risk reduction documentation (n=651). Change in facility fall rates was an exploratory outcome. Focus groups were conducted to explore changes in organizational learning.

RESULTS

Significant improvements in staff perceptions of communication quality, participation in decision-making, safety climate, caregiving quality, and use of local interaction strategies were observed in intervention community NHs (treatment-by-time effect P=.01) but not in VA NHs, where a ceiling effect was observed. Fall risk reduction documentation did not change significantly, and the direction of change in individual facilities did not relate to observed direction of change in fall rates. Fall rates did not change in control facilities (falls/bed per year: baseline, 2.61; after intervention, 2.64) but decreased by 12% in intervention facilities (falls/bed per year: baseline, 2.34; after intervention, 2.06); the effect of treatment on rate of change was 0.81 (95% confidence interval=0.55-1.20).

CONCLUSION

CONNECT has the potential to improve care delivery in NHs, but the trend toward improving fall rates requires confirmation in a larger ongoing study.

Combating infections at Maine Medical Center: Insights into complexity-informed leadership from positive deviance

A case study of how the organizational change process known as Positive Deviance was used to fight healthcare-associated infections at Maine Medical Center highlights the human and social aspects of leadership in a complex adaptive system. It illustrates that leadership can shape self-organization in a manner that facilitates creative, productive, desirable outcomes. We found influential roles of anxiety, attachment, and relationships in facilitating organizational leadership. We describe how the process of leadership permeated the Medical Center’s hierarchies and networks and reflected emergent power dynamics, which included contemporizing some aspects of traditional managerial authority. The study contributes to the management literature by clarifying the dynamics and qualities associated with change in complex human systems and illuminating what constitutes complexity-informed leadership and how it can be practiced.

Staff interaction strategies that optimize delivery of transitional care in a skilled nursing facility: a multiple case study

After hospitalization, more than 1.5 million older adults each year receive postacute care in skilled nursing facilities (SNFs). Transitional care services, designed to prepare older SNF patients (and their family caregivers) for their transitions from an SNF to home, have rarely been studied. Thus, we conducted a longitudinal, multiple case study of transitional care provided in an SNF to explore the care processes and staff interaction strategies that SNF staff members used to optimize delivery of transitional care. Using qualitative data from 89 interviews, 118 field observations, and 70 chart, or document reviews, we observed that transitional care services were not solely formalized processes, but rather were embedded in the interactions among older adult patients, their family caregivers, and members of interdisciplinary care teams. We found, moreover, that staff member interactions with patients and family caregivers increased the capacity of patient care teams for optimizing patient-centered care, information exchange, and coordination of transitional care.

CONNECT for quality: protocol of a cluster randomized controlled trial to improve fall prevention in nursing homes

Background

Quality improvement (QI) programs focused on mastery of content by individual staff members are the current standard to improve resident outcomes in nursing homes. However, complexity science suggests that learning is a social process that occurs within the context of relationships and interactions among individuals. Thus, QI programs will not result in optimal changes in staff behavior unless the context for social learning is present. Accordingly, we developed CONNECT, an intervention to foster systematic use of management practices, which we propose will enhance effectiveness of a nursing home Falls QI program by strengthening the staff-to-staff interactions necessary for clinical problem-solving about complex problems such as falls. The study aims are to compare the impact of the CONNECT intervention, plus a falls reduction QI intervention (CONNECT + FALLS), to the falls reduction QI intervention alone (FALLS), on fall-related process measures, fall rates, and staff interaction measures.

Methods/design

Sixteen nursing homes will be randomized to one of two study arms, CONNECT + FALLS or FALLS alone. Subjects (staff and residents) are clustered within nursing homes because the intervention addresses social processes and thus must be delivered within the social context, rather than to individuals. Nursing homes randomized to CONNECT + FALLS will receive three months of CONNECT first, followed by three months of FALLS. Nursing homes randomized to FALLS alone receive three months of FALLs QI and are offered CONNECT after data collection is completed. Complexity science measures, which reflect staff perceptions of communication, safety climate, and care quality, will be collected from staff at baseline, three months after, and six months after baseline to evaluate immediate and sustained impacts. FALLS measures including quality indicators (process measures) and fall rates will be collected for the six months prior to baseline and the six months after the end of the intervention. Analysis will use a three-level mixed model.

Discussion

By focusing on improving local interactions, CONNECT is expected to maximize staff's ability to implement content learned in a falls QI program and integrate it into knowledge and action. Our previous pilot work shows that CONNECT is feasible, acceptable and appropriate.

Trial Registration

ClinicalTrials.gov: NCT00636675

The work of the RN Minimum Data Set coordinator in its organizational context

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) is the foundational clinical framework for nursing home care, functioning as both a clinical assessment instrument and an assessment process. An RN is mandated by statute to complete or coordinate the work associated with this framework. Using both focus groups and questionnaires, 24 RN MDS coordinators attending a national conference for MDS coordinators described their work in its organizational context. Shortell et al.'s continuous quality framework of structural, technical, cultural, and strategic organizational dimensions was used to categorize descriptive themes. Clinical implications of the study findings are summarized.

The Nature of Staff - Family Interactions in Nursing Homes: Staff Perceptions

Each year thousands of older adults are admitted to nursing homes. Following admission, nursing home staff and family members must interact and communicate with each other. This study examined relationship and communication patterns between nursing home staff members and family members of nursing home residents, as part of a larger multi-method comparative case study. Here, we report on 6- month case studies of two nursing homes where in-depth interviews, shadowing experiences, and direct observations were completed. Staff members from both nursing homes described staff-family interactions as difficult, problematic and time consuming, yet identified strategies that when implemented consistently, influenced the staff-family interaction positively. Findings suggest explanatory processes in staff-family interactions, while pointing toward promising interventions.

Certified nursing assistants' explanatory models of nursing home resident depression

In this study, the authors describe certified nursing assistants' (CNA) Explanatory Models (EMs) of depression and aspects of their EMs that may contribute to the underdetection of depression in nursing homes. Interviews with 18 CNAs working in two nursing homes are guided by Kleinman's Explanatory Models of Illness framework. Interview data are content analyzed and CNAs' descriptions of depression are compared to the MDS 2.0 Mood Screening criteria and to the DSM-IV-TR diagnostic criteria for depression. The result is that the CNAs are unsure about the duration and normalcy of depression in residents. Although they have no formal training, CNAs feel responsible for observing for signs of depression and describe verbal and nonverbal ways of interacting when providing emotional care to residents. CNAs hold potential to improve the detection of depression and contribute to the emotional care of residents. Attention to staff knowledge deficits and facility barriers may enhance this potential.

Implementation of the resident assessment instrument/minimum data set in the nursing home as organization: implications for quality improvement in RN clinical assessment

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) used in nursing homes (NHs) participating in the Federal Medicare and Medicaid programs is a state-of-the-art, computerized clinical assessment instrument. RAI/MDS-derived data are essential, used for NH reimbursement, quality measurement, regulatory quality monitoring activities, and clinical care planning. Completing or coordinating the RAI/MDS, which may be conceived of as implementation, is a federally mandated responsibility of the RN involving clinical assessment, a core professional competency of any RN. How the RAI/MDS is implemented in each NH provides evidence of how each NH as an organization understands both the RAI/MDS process and its organizational level responsibility for promotion of RN competence in clinical assessment. Research literature related to RAI/MDS development, testing, and accuracy is used to identify what is known about organizational level implementation of the RAI/MDS. Evidence-based suggestions to enhance RN competence in RAI/MDS clinical assessments, given existing organizational barriers, are provided.

Residential Care/Assisted Living Staff May Detect Undiagnosed Dementia Using the Minimum Data Set Cognition Scale

OBJECTIVES

To estimate the sensitivity, specificity, and reliability of the Minimum Data Set Cognition Scale (MDS-COGS) in screening for undetected dementia when completed by direct care staff in residential care/assisted living (RC/AL) facilities and secondarily to determine the prevalence of dementia in the sample.

DESIGN

A cross-sectional study in which staff were trained to complete the MDS-COGS. Research interviewers and a neuropsychologist obtained information on each participant. Two neurologists reviewed the data and examined the participant, rendering a probable diagnosis of dementia/non-dementia diagnosis. MDS-COGS results were compared with the neurologists' determination.

SETTING

Fourteen RC/AL facilities in North Carolina.

PARTICIPANTS

Data were collected from 50 staff on 166 residents without a diagnosis of dementia.

MEASUREMENTS

In addition to the MDS-COGS, measures included a comprehensive neuropsychological battery. Depression and other neuropsychiatric symptoms were also assessed.

RESULTS

Neurologists determined that 38% of participants had probable dementia. An MDS-COGS cutpoint of 2 was highly specific (0.97) but not very sensitive (0.49) for dementia. Test-retest and interrater agreement for a negative screen were high (88% and 93%, respectively).

CONCLUSION

The MDS-COGS is a simple, brief screen that RC/AL staff can complete. It will identify with high specificity a subset of residents with undetected dementia, allowing rapid identification of those likely to need dementia care. Caution needs to be exercised in light of its low sensitivity, because some with milder dementia will not be detected. Further work is needed to determine whether staff can and will use the MDS-COGS as a trigger for more-thorough assessment and to guide care and improve outcomes.