Editorial: How can We Co-Create Solutions in Health Promotion With Users and Stakeholders?

Stock, Christiane; Dias, Sónia; Dietrich, Timo; Frahsa, Annika; Keygnaert, Inês

doi:10.3389/fpubh.2021.773907

Cited by 10 publications

(14 citation statements)

References 13 publications

(12 reference statements)

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“…To pursue the purpose of patient engagement (Badr et al. , 2022), it may be useful to embed them in the co-creation of new digital solutions, from use case identification to product design and testing (Stock et al. , 2021).…”

Section: Discussionmentioning

confidence: 99%

“…It might be useful to consider a patient-driven service innovation, to adapt innovation to the needs of patients and support them in managing their condition (Aghdam et al, 2020). To pursue the purpose of patient engagement (Badr et al, 2022), it may be useful to embed them in the co-creation of new digital solutions, from use case identification to product design and testing (Stock et al, 2021). Doctors, nurses, patients and citizens have declared fears in terms of results demonstrability; it seems necessary to open the "black box" of AI decision-making systems and pursue aims of reasoned transparency, in order to guarantee greater legitimacy perceived by the public and improve confidence in the tool.…”

Section: Perception Of External Controlmentioning

confidence: 99%

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Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Megaro

Carrubbo

Polese

et al. 2022

TQM

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PurposeThe aim of this paper is to understand if service innovation (Helkkula et al., 2018), based on artificial intelligence (AI) systems, may guarantee healthcare service ecosystem (H-SES) well-being (Frow et al., 2019; Beirão et al., 2017), taking into account that many doubts relieved in terms of transparency may compromise the patients' perceived quality of health services provided through AI systems.Design/methodology/approachA literature review on service innovation, detected in terms of value co-creation, and service ecosystem, investigated in terms of well-being, is drawn. To analyze the implications of service innovation on a H-SES well-being, through the technology acceptance degree and predisposition to use by actors, a case study based on TAM-model 3 determinants as categories is carried out.FindingsAI-based service innovation archetypes in healthcare may be considered as antecedents of the service ecosystem well-being conditions as long as they enable actors to co-create value. To make it possible, a patient-driven service innovation is necessary in order to mitigate the risks of its inactivity due to fears in terms of transparency.Originality/valueService innovation and service ecosystem well-being may be studied in an integrated way, with a multidisciplinary approach, and are linked by value co-creation, because only thanks a patient-driven service innovation is possible to foster service ecosystem well-being in healthcare.

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Section: Discussionmentioning

confidence: 99%

Section: Perception Of External Controlmentioning

confidence: 99%

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Megaro

Carrubbo

Polese

et al. 2022

TQM

View full text Add to dashboard Cite

show abstract

“…Indeed, health professionals (from different areas and backgrounds) should be part of the development of healthy eating promotion campaigns, following a participatory approach (11). Besides being involved in complementary actions in different contexts, as mentioned (e.g., in schools), health professionals can help define needs and priorities based on their clinical/field experience/background and develop more practical messages and activities to increase the effectiveness of the behavior change promotion (e.g., by developing recipes as suggested in the FG).…”

Section: Discussionmentioning

confidence: 99%

“…In general, to increase the relevance and quality of health care and research, "consumers" involvement is strongly recommended (11,12). However, little attention has been paid to the potential contributions from diverse groups of stakeholders, such as citizens and health professionals, to the development and evaluation of health campaigns (13), especially regarding healthy eating promotion campaigns.…”

Section: Introductionmentioning

confidence: 99%

Developing healthy eating promotion mass media campaigns: A qualitative study

Capitão

Martins

Feteira-Santos

et al. 2022

Front. Public Health

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BackgroundInvolving consumers in the development and assessment of mass media campaigns has been advocated, though research is still lacking. This study aimed to explore opinions and attitudes of citizens, health professionals, communication professionals, and digital influencers regarding the development and implementation of healthy eating promotion mass media campaigns.MethodsWe conducted five semi-structured focus groups, where participants were exposed to the first nationwide mass media campaign promoting healthy eating in Portugal. Through criteria-based purposive sampling, 19 citizens, five health professionals, two communication professionals, and four digital influencers were included. Transcripts were analyzed using Charmaz's line-to-line open coding process.ResultsMain identified themes were: considerations about informative-centered campaigns, health/nutritional issues to address, campaign formulation, target audiences, dissemination channels, and influencers' involvement. Participants favored campaigns focused on practical, transformative, and useful information with simple, innovative, activating, and exciting messages instead of strictly informative campaigns. Health and communication professionals mentioned the importance of adapting the message and dissemination channels to the target audience, addressing the most vulnerable and hard-to-reach individuals, and highlighted the importance of short video format.ConclusionsActive involvement of the health promotion target audience is crucial for the development and effectiveness of health campaigns. Campaigns need to convey health messages on simple though exciting communication materials, targeted to the most vulnerable subgroups, including deprived, less educated, younger, and older generations.

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“…In (16), the author has surveyed the importance of artificial intelligence in healthcare. The prediction of COVID-19 infected patients using artificial intelligence has been implemented in (17), but there is a need for an appropriate repository to store the data.…”

Section: Motivationmentioning

confidence: 99%

A Recommendation System Based on AI for Storing Block Data in the Electronic Health Repository

Mani

Kavitha

Band

et al. 2022

Front. Public Health

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The proliferation of wearable sensors that record physiological signals has resulted in an exponential growth of data on digital health. To select the appropriate repository for the increasing amount of collected data, intelligent procedures are becoming increasingly necessary. However, allocating storage space is a nuanced process. Generally, patients have some input in choosing which repository to use, although they are not always responsible for this decision. Patients are likely to have idiosyncratic storage preferences based on their unique circumstances. The purpose of the current study is to develop a new predictive model of health data storage to meet the needs of patients while ensuring rapid storage decisions, even when data is streaming from wearable devices. To create the machine learning classifier, we used a training set synthesized from small samples of experts who exhibited correlations between health data and storage features. The results confirm the validity of the machine learning methodology.

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Editorial: How can We Co-Create Solutions in Health Promotion With Users and Stakeholders?

Cited by 10 publications

References 13 publications

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Triggering a patient-driven service innovation to foster the service ecosystem well-being: a case study

Developing healthy eating promotion mass media campaigns: A qualitative study

A Recommendation System Based on AI for Storing Block Data in the Electronic Health Repository

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