ArticleJMIR research protocols2014
Designing clinically valuable telehealth resources: processes to develop a community-based palliative care prototype.
Article in JMIR research protocols, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 34 citations in OpenAlex.
- Using telehealth to support end of life care in the community: a feasibility study.BMC palliative care · 2016Trial
- Technology to Support Older Adults in Home Palliative Care: A Scoping Review.The American journal of hospice & palliative care · 2024Article
- Who cares for the carers? carerhelp: development and evaluation of an online resource to support the wellbeing of those caring for family members at the end of their life.BMC palliative care · 2023Review
- Methods for Human-Centered eHealth Development: Narrative Scoping Review.Journal of medical Internet research · 2022Article
- Exploring the Constituent Elements of a Successful Mobile Health Intervention for Prediabetic Patients in King Saud University Medical City Hospitals in Saudi Arabia: Cross-sectional Study.JMIR formative research · 2021Article
- Benefits of Structured Engagement with Target Audiences of a Health Website: Study Design for a Multi-Case Study.Healthcare (Basel, Switzerland) · 2021Article
- Development and Management of Networks of Care at the End of Life (the REDCUIDA Intervention): Protocol for a Nonrandomized Controlled Trial.JMIR research protocols · 2018Article
- Telemonitoring via Self-Report and Video Review in Community Palliative Care: A Case Report.Healthcare (Basel, Switzerland) · 2017Article
- Transitioning a home telehealth project into a sustainable, large-scale service: a qualitative study.BMC health services research · 2016Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChanging population demography and patterns of disease are increasing demands on the health system. Telehealth is seen as providing a mechanism to support community-based care, thus reducing pressure on hospital services and supporting consumer preferences for care in the home.
objectiveThis study examined the processes involved in developing a prototype telehealth intervention to support palliative care patients involved with a palliative care service living in the community.
methodsThe challenges and considerations in developing the palliative care telehealth prototype were reviewed against the Center for eHealth Research (CeHRes) framework, a telehealth development model. The project activities to develop the prototype were specifically mapped against the model's first four phases: multidisciplinary project management, contextual inquiry, value specification, and design. This project has been developed as part of the Telehealth in the Home: Aged and Palliative Care in South Australia initiative.
resultsSignificant issues were identified and subsequently addressed during concept and prototype development. The CeHRes approach highlighted the implicit diversity in views and opinions among participants and stakeholders and enabled issues to be considered, resolved, and incorporated during design through continuous engagement.
conclusionsThe CeHRes model provided a mechanism that facilitated "better" solutions in the development of the palliative care prototype by addressing the inherent but potentially unrecognized differences in values and beliefs of participants. This collaboration enabled greater interaction and exchange among participants resulting in a more useful and clinically valuable telehealth prototype.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.