Resilience and health (care): A dynamic adaptive perspective

Resilience in advanced cancer caregiving promoted by an intimate partner's support network: insights through the lens of complexity science. A framework analysis

BACKGROUND

The tremendous physical and mental burden that comes with caregiving puts the intimate partners of patients diagnosed with advanced cancer at risk for mental disorders. However, most partners seem to be protected by resilience. Such a resilience process is promoted by certain individual characteristics (e.g., flexibility, positive attitude, internal strength, capacity to balance incoming and outgoing information, and ability to ask for and accept support and advice) and by the availability of a support network, consisting of family, friends, and healthcare professionals. Such a heterogeneous group striving towards the same goals can be considered a complex adaptive system (CAS), a concept stemming from complexity science.

AIMS

To study the behavior of the support network through the lens of complexity science and to provide insights to the means by which an available network may promote resilience.

METHODS

Nineteen interviews with members from the support networks of eight intimate partners were analyzed deductively using the CAS principles as a coding framework. Subsequently, the quotes under each principle were coded inductively to concretize patterns in the behavior of the support networks. Eventually, the codes were charted into a matrix to identify intra- and inter-CAS similarities, differences, and patterns.

FINDINGS

The network's behavior adapts dynamically to the changing circumstances as the patient's prognosis worsens. Furthermore, the behavior is based on internalized basic rules (such as reassuring availability and maintaining communication without being intrusive), attractors (e.g., feeling meaningful, appreciated, or connected), and the history of the support network. However, the interactions are non-linear and often unpredictable due to the context member's own concerns, needs, or emotions.

CONCLUSIONS

Applying the lens of complexity science to the behavior of an intimate partner's support network gives us insight into the network's behavioral patterns. Indeed, a support network is a dynamic system that behaves according to the principles of a CAS and adapts resiliently to the changing circumstances as the patient's prognosis worsens. Moreover, the behavior of the support network appears to promote the intimate partner's resilience process throughout the patient's care period.

Attributes and generic competencies required of doctors: findings from a participatory concept mapping study

BACKGROUND

Medical education should ensure graduates are equipped for practice in modern health-care systems. Practicing effectively in complex health-care systems requires contemporary attributes and competencies, complementing core clinical competencies. These need to be made overt and opportunities to develop and practice them provided. This study explicates these attributes and generic competencies using Group Concept Mapping, aiming to inform pre-vocational medical education curriculum development.

METHODS

Group Concept Mapping is a mixed methods consensus building methodology whereby ideas are generated using qualitative techniques, sorted and grouped using hierarchical cluster analysis, and rated to provide further quantitative confirmation of value. Health service providers from varied disciplines (including medicine, nursing, allied health), health profession educators, health managers, and service users contributed to the conceptual model's development. They responded to the prompt 'An attribute or non-clinical competency required of doctors for effective practice in modern health-care systems is...' and grouped the synthesized responses according to similarity. Data were subjected to hierarchical cluster analysis. Junior doctors rated competencies according to importance to their practice and preparedness at graduation.

RESULTS

Sixty-seven contributors generated 338 responses which were synthesised into 60 statements. Hierarchical cluster analysis resulted in a conceptual map of seven clusters representing: value-led professionalism; attributes for self-awareness and reflective practice; cognitive capability; active engagement; communication to build and manage relationships; patient-centredness and advocacy; and systems awareness, thinking and contribution. Logic model transformation identified three overarching meta-competencies: leadership and systems thinking; learning and cognitive processes; and interpersonal capability. Ratings indicated that junior doctors believe system-related competencies are less important than other competencies, and they feel less prepared to carry them out.

CONCLUSION

The domains that have been identified highlight the competencies necessary for effective practice for those who work within and use health-care systems. Three overarching domains relate to leadership in systems, learning, and interpersonal competencies. The model is a useful adjunct to broader competencies frameworks because of the focus on generic competencies that are crucial in modern complex adaptive health-care systems. Explicating these will allow future investigation into those that are currently well achieved, and those which are lacking, in differing contexts.