Post Breast Cancer Coaching Path: A Co-production Experience for Women

Biancuzzi, Helena; Mas, Francesca Dal; Miceli, Luca; Bednarova, Rym

doi:10.1007/978-3-030-46874-3_2

Cited by 13 publications

(9 citation statements)

References 17 publications

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“…Not only multidisciplinary and diverse teams are more and more involved in clinical practices and medical innovation (Cobianchi et al, 2020b;Qadan et al, 2020;Saini et al, 2012), but the patient plays a central role in the co-production of the healthcare products or services (Batalden et al, 2016;Elwyn et al, 2019). In the modern healthcare scenario, patients are more and more engaged in the co-design (Hussain and Sanders, 2012;Reay et al, 2017) and co-production of their needed services (Biancuzzi et al, 2020;Dal Mas et al, 2020a), in a patient-centric perspective (Brunoro-Kadash and Kadash, 2013).…”

Section: Introductionmentioning

confidence: 99%

Knowledge Translation in the Healthcare Sector. A Structured Literature Review

Mas¹,

García-Pérez²,

Sousa³

et al. 2020

EJKM

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Knowledge translation can be understood as the ability to translate concepts between different contexts by stakeholders who have different skills, aims, and even feelings in their relation to such concepts. Knowledge translation tools allow for the effective transfer of existing knowledge as well as the emergence of new knowledge of value to some or all of the stakeholders involved in the process. Knowledge translation is particularly challenging in healthcare and medicine, where different practitioners (e.g. physicians, biologists, engineers, researchers) and professionals need methodologies and tools to communicate and share knowledge among them and with patients in an effective manner. To better understand this phenomenon, we conducted a Structured Literature Review (SLR). The concepts knowledge, translation and either healthcare or medicine were used as search terms in the title, abstract or keywords on Scopus, which highlighted more than 2,000 contributions in the medical literature and only 22 in Business and Management. Our review of these documents revealed a need in the healthcare sector for better managerial and organisational practices to cope with the various challenges related to the sharing of knowledge among stakeholders. At the same time, the business and management communities appear to have made significant progress in addressing the same issues. We therefore decided to concentrate our analysis on the works published by the business and management community as a mean to highlight future research directions for the healthcare management sector. Thus, our research identifies areas of relevance which are currently underdeveloped, provides insights on both theoretical and empirical developments and offers a critique of the approaches, research frameworks and methods used, as well as emerging trends in these domains. Despite a lack of an agreed definition of the term Knowledge Translation, our findings highlight a growing interest in the topic, with most of the contributions published after 2015. Scholars have approached the term from a variety of perspectives depending on the nature of the stakeholders of relevance to their studies. Whilst there does not seem to be a predominant framework, the literature reveals several tools and techniques that are effective in enhancing Knowledge Translation in different contexts. New research opportunities in this domain emerge in terms of underinvestigated areas within the healthcare sector.

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Section: Introductionmentioning

confidence: 99%

Knowledge Translation in the Healthcare Sector. A Structured Literature Review

Mas¹,

García-Pérez²,

Sousa³

et al. 2020

EJKM

View full text Add to dashboard Cite

show abstract

“…Design (Dal Mas et al 2020a;Schiuma, 2017, 2018), brochures and guides, social media channels and online tools (Dal Mas, 2019;Massaro et al, 2018;Presch et al, 2020), specific Q&A sessions (Sokol and Shaughnessy, 2018), the use of a simple language (Wallace, 2012) and kindness (Tribble et al, 2008) represent tools which are capable of engaging the patients and the community (associations, private companies, sponsors, members of the local government and cities). Translating knowledge to engage external non-professional stakeholders leads to co-production as a way to co-create new knowledge and services (Batalden et al, 2016;Biancuzzi et al, 2020b). Knowledge translation appears strategic in all the aims of the Breast Unit: engaging with the community to enhance prevention, to better treat the disease, and to improve rehabilitation, leading to the wellbeing of the patients and the population.…”

Section: Discussionmentioning

confidence: 99%

“…Productive relationships need to be managed as part of this complex system, and interactions among various actors allow to "produce valuable, new, and unpredictable capabilities that are not inherent in any of the parts acting alone" (Plsek and Wilson, 2001, p. 746). Healthcare ecosystems have been experiencing a shift from a centralised and sequential model of value creation to a more distributed and open model (Bowser et al, 2019;Chen et al, 2019;Cobianchi, 2020b;Gordon, Perlman, and Shukla, 2017;IBM, 2013;Siemens, 2018), where citizens and patients are co-creators of their own wellbeing (Batalden et al, 2016;Bessant, Moeslein, and Kunne, 2012;Biancuzzi et al, 2020b;Dal Mas et al, 2019a;Dal Mas, Paoloni, and Lombardi, 2019;Dal Mas andPaoloni, 2019, 2020). The healthcare ecosystems usually involve a vast number of parties (patients, physicians, clinical researchers, nurses, policymakers) that share their innovation processes to incorporate knowledge flows originated from or co-produced with external stakeholders (universities, research centres, industries, governmental agencies, NGOs, public institutions) (Ardito and Messeni Petruzzelli, 2017;Cobianchi, et al, 2020a;Dal Mas et al, 2018;Gassmann, Enkel, and Chesbrough, 2010;Huizingh, 2011;Renaudin et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Knowledge Translation in Oncology. A Case Study

Mas¹,

Biancuzzi²,

Massaro

et al. 2020

EJKM

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Knowledge translation (KT) is the ability to make knowledge accessible to different stakeholders by translating it into various contexts. Translating knowledge is particularly crucial in the healthcare sector, which is currently under significant pressure due to technological innovation, increasing demand of services by an ageing population, budget reductions, and new organisational challenges posed by the latest events like the COVID‑19 pandemic. While the first definition of KT was focused on the translation of scientific research into clinical practice, other types of KT later emerged. In healthcare, while stakeholders have different skills and competencies (such as clinical scientists versus physicians or other healthcare professionals), others experience diverse emotional feelings (like the patients or their families). An effective KT allows the transfer, sharing, and creation of new knowledge, enhancing innovation and co‑production dynamics. The paper employs a case study by analysing the Breast Unit of the C.R.O. National Cancer Institue of Aviano, Italy, one of the most acknowledged hospitals and research centres in Europe in the field of cancer surgery and treatments. The paper aims at studying the knowledge translation dynamics and tools by analysing the various relationships with the internal as well as the external stakeholders of the Breast Unit. Internally, knowledge translation is needed to merge the competencies of highly skilled multidisciplinary teams, which include surgeons and physicians with various specialities, researchers, psychologists, nurses and other healthcare professionals. Externally, knowledge is translated to meet the needs of patients, patients' associations, sponsors, citizens, and policymakers. Results highlight how different techniques and dynamics allow KT to happen within internal as well as external groups. Contributing to the knowledge management and knowledge translation theories, our findings open up to practical as well as research implications.

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“…The topic herein is Big Data research in the healthcare context and applied to MDs' learning and training [51]. On the VOSviewer software tool one may add the following: [40,44,45] With the growing barriers presented to medical practice, MDs will need to better equip their decision capabilities with more patient-and service-focused decisions, wherein nowadays patients are possessing more information capacity and better decision judgments that are bringing new complexities in doctor-patient discussions. Decision making [33,[46][47][48] The democratisation of data and generalised data access to medicine specialists and general practitioners is bringing new real capacity to treatment, diagnostics, and medication selection to healthcare professionals.…”

Section: Methodsmentioning

confidence: 99%