scholarly journals “It depends:” a qualitative study on digital health academic-industry collaboration

mHealth ◽  
2021 ◽  
Vol 0 ◽  
pp. 0-0
Author(s):  
Kelsey L. Ford ◽  
Jenn Leiferman ◽  
Bruno Sobral ◽  
John K. Bennett ◽  
Susan L. Moore ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Digital Health ◽  
Industry Collaboration

scholarly journals Understanding data and information needs for palliative cancer care to inform digital health intervention development in Nigeria, Uganda and Zimbabwe: protocol for a multicountry qualitative study

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e032166 ◽  
Author(s):  
Kehinde Okunade ◽  
Kennedy Bashan Nkhoma ◽  
Omolola Salako ◽  
David Akeju ◽  
Bassey Ebenso ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Cancer Care ◽  
Information Needs ◽  
Research Council ◽  
Digital Health ◽  
Health Interventions ◽  
Sub Saharan Africa ◽  
Institutional Review Boards ◽  
National Council ◽  
Framework Analysis

IntroductionPalliative care is a clinically and cost‐effective component of cancer services in sub-Saharan Africa (SSA). Despite the significant need for palliative cancer care in SSA, coverage remains inadequate. The exploration of digital health approaches could support increases in the quality and reach of palliative cancer care services in SSA. However, there is currently a lack of any theoretical underpinning or data to understand stakeholder drivers for digital health components in this context. This project addresses this gap through engaging with key stakeholders to determine data and information needs that could be supported through digital health interventions.Methods and analysisThis is a multicountry, cross-sectional, qualitative study conducted in Nigeria, Uganda and Zimbabwe. In-depth interviews will be conducted in patients with advanced cancer (n=20), caregivers (n=15), health professionals (n=20) and policy-makers (n=10) in each of the three participating countries. Data from a total of 195 interviews will transcribed verbatim and translated into English before being imported into NVivo software for deductive framework analysis. The analysis will seek to understand the acceptability and define mechanisms of patient-level data capture and usage via digital technologies.Ethics and disseminationEthics approvals have been obtained from the Institutional Review Boards of University of Leeds (Ref: MREC 18–032), Research Council of Zimbabwe (Ref: 03507), Medical Research Council of Zimbabwe (Ref: MRCZ/A/2421), Uganda Cancer Institute (Ref: 19–2018), Uganda National Council of Science and Technology (Ref: HS325ES) and College of Medicine University of Lagos (Ref: HREC/15/04/2015). The project seeks to determine optimal mechanisms for the design and development of subsequent digital health interventions to support development, access to, and delivery of palliative cancer care in SSA. Dissemination of these findings will occur through newsletters and press releases, conference presentations, peer-reviewed journals and social media.Trial registration numberISRCTN15727711

Digital Health Innovation Ecosystems

2019 ◽  
Vol 8 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Gloria Ejehiohen Iyawa ◽  
Marlien Herselman ◽  
Adele Botha
Keyword(s):  
Developing Countries ◽  
Qualitative Study ◽  
Digital Health ◽  
Healthcare Services ◽  
Structured Interviews ◽  
Innovation Ecosystem ◽  
Health Innovation ◽  
Innovation Ecosystems ◽  
Governmental Organizations ◽  
Key Participants

The purpose of this paper was to identify key participants, benefits, and challenges of a digital health innovation ecosystem in Namibia. The paper also aimed to identify strategies for implementing digital health innovation ecosystems in Namibia. This is a qualitative study that adopted semi-structured interviews in meeting the objectives of the study. The findings suggest that implementing digital health innovation ecosystems within the Namibian context will result in better processes of delivering healthcare services to patients. However, implementing such an ecosystem would require resources from both academic and governmental organizations. The need for skilled experts for managing the ecosystem would also be required. Hence, adopting the guidelines for implementing a digital health innovation ecosystem in developing countries, the study proposed guidelines which would make a digital health innovation ecosystem work for the Namibian context. The findings of this study can be used by healthcare managers within the Namibian context.

scholarly journals A Digital Coach Promoting Healthy Aging among Older Adults in Transition to Retirement: Results from a Qualitative Study in Italy

2020 ◽  
Vol 12 (18) ◽  
pp. 7400
Author(s):  
Sara Santini ◽  
Flavia Galassi ◽  
Johannes Kropf ◽  
Vera Stara
Keyword(s):  
Older Adults ◽  
Qualitative Study ◽  
Psychological Health ◽  
Older Workers ◽  
Healthy Aging ◽  
Digital Health ◽  
Health Coaching ◽  
Health Determinants ◽  
Health Coach ◽  
Transition To Retirement

Global aging and increasing multimorbidity are questioning the sustainability of healthcare systems. Healthy aging is at the top of the world political agenda, as a possible means for hindering the collapse of care systems. In the aging process, the transition to retirement can lead to an improvement or a deterioration of physical and psychological health. Digital health coaching technology can support older adults at this stage, but what must be the role of such a solution in promoting healthy aging and shaping sustainable care? This qualitative study, carried out in Italy in 2019, involved 15 older workers, retirees, and colleagues. Based on a user-centered design approach, this study aims at gathering older adults’ feelings on a digital health coaching technology for exploring this solution’s potential in promoting healthy aging. Findings highlighted that the digital health coach may help older adults improve several health determinants, e.g., physical activity, cognitive capabilities, and social life, but it can also entail the risk of stigma and break people’s privacy. The latter can be guaranteed by technology customization and codesign. Further research on the digital health coach benefits to boost healthy aging is needed to understand its potential for shaping future sustainable healthcare.

scholarly journals Implementation factors affecting the large-scale deployment of digital health and well-being technologies: A qualitative study of the initial phases of the ‘Living-It-Up’ programme

2016 ◽  
Vol 22 (4) ◽  
pp. 867-877 ◽  
Author(s):  
Ruth Agbakoba ◽  
Marilyn McGee-Lennon ◽  
Matt-Mouley Bouamrane ◽  
Nicholas Watson ◽  
Frances S Mair
Keyword(s):  
Qualitative Study ◽  
Large Scale ◽  
Digital Health ◽  
Well Being ◽  
Normalisation Process Theory ◽  
Important Lesson ◽  
Factors Affecting ◽  
Services Delivery ◽  
Design Activities ◽  
Health And Well Being

Little is known about the factors which facilitate or impede the large-scale deployment of health and well-being consumer technologies. The Living-It-Up project is a large-scale digital intervention led by NHS 24, aiming to transform health and well-being services delivery throughout Scotland. We conducted a qualitative study of the factors affecting the implementation and deployment of the Living-It-Up services. We collected a range of data during the initial phase of deployment, including semi-structured interviews (N = 6); participant observation sessions (N = 5) and meetings with key stakeholders (N = 3). We used the Normalisation Process Theory as an explanatory framework to interpret the social processes at play during the initial phases of deployment. Initial findings illustrate that it is clear − and perhaps not surprising − that the size and diversity of the Living-It-Up consortium made implementation processes more complex within a ‘multi-stakeholder’ environment. To overcome these barriers, there is a need to clearly define roles, tasks and responsibilities among the consortium partners. Furthermore, varying levels of expectations and requirements, as well as diverse cultures and ways of working, must be effectively managed. Factors which facilitated implementation included extensive stakeholder engagement, such as co-design activities, which can contribute to an increased ‘buy-in’ from users in the long term. An important lesson from the Living-It-Up initiative is that attempting to co-design innovative digital services, but at the same time, recruiting large numbers of users is likely to generate conflicting implementation priorities which hinder − or at least substantially slow down − the effective rollout of services at scale. The deployment of Living-It-Up services is ongoing, but our results to date suggest that − in order to be successful − the roll-out of digital health and well-being technologies at scale requires a delicate and pragmatic trade-off between co-design activities, the development of innovative services and the efforts allocated to widespread marketing and recruitment initiatives.

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