Mapping the way: functional modelling for community-based integrated care for older people.

BACKGROUND: Healthcare system sustainability is challenged by several critical issues; one of the most pressing is the ageing population. Traditional, episodic care delivery models are not designed for older people who are medically complex and frail. These individuals would benefit from health and social care that is more comprehensive, coordinated, person-centred and accessible in the communities in which they live. Delivering this is a challenging endeavour. Community-based health and social care professionals are siloed, dispersed across various locations and sectors, each with their own mental models, electronic health information systems, and means of communication. To move away from fragmented care delivery models and towards a more integrated approach to care, an analysis of the process of community-based comprehensive geriatric assessment was conducted in an urban location in Atlantic Canada. The purpose of the study was to identify where in the community-based comprehensive geriatric assessment process challenges and opportunities existed for moving towards a more integrated model of care delivery. METHOD: The functional resonance analysis method (FRAM) and dynamic FRAM (DynaFRAM) modelling were used to model the community-based health and social care system and create a hypothetical patient journey scenario. Data collected to inform modelling consisted of document review, focus groups, and semi-structured interviews with health and social care professionals providing care and service to older people in the community setting. FINDINGS: Challenges and opportunities for implementing integrated care in the local context were identified. Findings from the FRAM and DynaFRAM analysis informed the co-design of multi-level process improvement recommendations that aim to move the local community-based comprehensive geriatric assessment process towards a more integrated model of care. CONCLUSIONS: A transformative redesign of community-based health and social care in the local context is necessary but cannot be accomplished without an understanding of how health and social care professionals conduct their work and how older people may receive care under the dynamic conditions. The FRAM and DynaFRAM modelling provided an enhanced understanding of system operations and functionality and demonstrated a critical step that should not be overlooked for decision-makers in their efforts to implement a more integrated model of care.

The Functional Resonance Analysis Method as a health care research methodology: a scoping review.

OBJECTIVE: The objective of this review was to examine and map the literature on the use of the Functional Resonance Analysis Method (FRAM) in health care research. INTRODUCTION: The FRAM is a resilient health care tool tat offers an approach to deconstruct complex systems by mapping health care processes to identify essential activities, how they are interrelated, and the variability that emerges, which can strengthen or compromise outcomes. Insight into how the FRAM has been operationalized in health care can help researchers and policy-makers understand how this method can be used to strengthen health care systems. INCLUSION CRITERIA: This scoping review included research and narrative reports on the application of the FRAM in any health care setting. The focus was to identify the key concepts and definitions used to describe the FRAM; the research questions, aims, and objectives used to study the FRAM; the methods used to operationalize the FRAM; the health care processes examined; and the key findings. METHODS: A three-step search strategy was used to find published and unpublished research and narrative reports conducted in any country. Only papers published in English were considered. No limits were placed on the year of publication. CINAHL, MEDLINE, Embase, PsycINFO, Inspec Engineering Village, ProQuest Nursing & Allied Health were searched originally in June 2020 and again in March 2021. A search of the gray literature was also completed in March 2021. Data were extracted from papers by two independent reviewers using a data extraction tool developed by the reviewers. Search results are summarized in a flow diagram, and the extracted data are presented in tabular format. RESULTS: Thirty-one papers were included in the final review, and most (n = 25; 80.6%) provided a description or definition of the FRAM. Only two (n = 2; 6.5%) identified a specific research question. The remaining papers each identified an overall aim or objective in applying the FRAM, the most common being to understand a health care process (n = 20; 64.5%). Eleven different methods of data collection were identified, with interviews being the most common (n = 21; 67.7%). Ten different health care processes were explored, with safety and risk identification (n = 8; 25.8%) being the most examined process. Key findings identified the FRAM as a mapping tool that can identify essential activities or functions of a process (n = 20; 64.5%), how functions are interdependent or coupled (n = 18; 58.1%), the variability that can emerge within a process (n = 20; 64.5%), discrepancies between work as done and work as imagined (n = 20; 64.5%), the resiliency that exists within a process (n = 12; 38.7%), and the points of risk within a process (n = 10, 32.3%). Most papers (n = 27; 87.1%) developed models representing the complexity of a process. CONCLUSIONS: The FRAM aims to use a systems approach to examine complex processes and, as evidenced by this review, is suited for use within the health care domain. Interest in the FRAM is growing, with most of the included literature being published since 2017 (n = 24; 77.4%). The FRAM has the potential to provide comprehensive insight into how health care work is done and how that work can become more efficient, safer, and better supported.

The functional resonance analysis method as a health care research methodology: a scoping review protocol.

OBJECTIVE: The objective of this review is to examine and map the literature on the use of the functional resonance analysis method in health care research. INTRODUCTION: Health care systems are highly complex and involve interrelated functions, organizations, individuals, and technologies. Understanding how these elements interact and impact health care processes is difficult because of inherent contextual and human variables. The functional resonance analysis method offers an approach to deconstruct complex systems and examine relationships between individual processes and elements. By using the functional resonance analysis method, researchers can map health care processes and uncover performance variables that can emerge and strengthen, or compromise, intended outcomes. Insight into how the functional resonance analysis method has been operationalized in health care research will help researchers and policy makers understand how the method can be used to strengthen health care systems. INCLUSION CRITERIA: The scoping review will consider research and narrative reports on the application of the functional resonance analysis method in health care research. The concepts of interest are the research questions/aims/objectives, methods used to operationalize the functional resonance analysis method, key concepts and definitions of the functional resonance analysis method, and key findings. Studies that used the functional resonance analysis method in any health care setting will be considered. METHODS: The scoping review will aim to locate published and unpublished literature by employing a three-step search strategy. Only papers published in English will be considered and no limits will be placed on the year of publication. Data extracted will include key concepts and definitions of the functional resonance analysis method, research questions/aims/objectives, methods used to operationalize the functional resonance analysis method, and key findings. Extracted data will be reported in tabular form and presented narratively to express the review question.