100+ datasets found
  1. Number and percent of respondents indicating how often they use online...

    • plos.figshare.com
    xls
    Updated Jun 15, 2023
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    Michelle Anne Reyes; Heather D. Vance-Chalcraft (2023). Number and percent of respondents indicating how often they use online health sources when making decisions about their health. [Dataset]. http://doi.org/10.1371/journal.pone.0266802.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michelle Anne Reyes; Heather D. Vance-Chalcraft
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Number and percent of respondents indicating how often they use online health sources when making decisions about their health.

  2. D

    Exploring acceptance of the eHealth model for mental wellness among digital...

    • ssh.datastations.nl
    ods, pdf, zip
    Updated Nov 9, 2021
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    CHOON HONG Tan; CHOON HONG Tan (2021). Exploring acceptance of the eHealth model for mental wellness among digital workers [Dataset]. http://doi.org/10.17026/DANS-XWZ-5X6S
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    zip(13977), ods(26830), pdf(1474520)Available download formats
    Dataset updated
    Nov 9, 2021
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    CHOON HONG Tan; CHOON HONG Tan
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    eHealth makes use of information and communication technologies (ICT) to improve health. In the digital age, the use of eHealth applications and other health-related applications has gained popularity, particularly during the COVID-19 pandemic. As a result of the pandemic, many uncertainties have arisen, causing stress and affecting the mental health of many skilled workers in the digital industry, particularly in the ICT, computing, and creative media industries. eHealth applications have the potential to benefit people's health. As a prerequisite for effective implementation of eHealth for mental wellness (EHMW), this paper examines the acceptance of EHMW among digital workers in Malaysia. Date: 2021-11-05

  3. D

    eHealth ecosystem value proposition survey

    • phys-techsciences.datastations.nl
    ods, zip
    Updated Oct 20, 2021
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    K Oberschmidt; K Oberschmidt; L. van Velsen; L. van Velsen (2021). eHealth ecosystem value proposition survey [Dataset]. http://doi.org/10.17026/DANS-29M-25A7
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    ods(43112), zip(14596), ods(24348)Available download formats
    Dataset updated
    Oct 20, 2021
    Dataset provided by
    DANS Data Station Physical and Technical Sciences
    Authors
    K Oberschmidt; K Oberschmidt; L. van Velsen; L. van Velsen
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Two surveys were sent out, within and outside of a large European research consortium, to investigate preference for value propositions of eHealth ecosystems. Different value propositions were presented (10 in the internal and 12 in the external survey) and rated by the participants on their feasibility and importance. Some demographics, mainly concerning the participants work environment, were collected to allow analysis on differences between certain industry types. Date Submitted: 2022-03-11

  4. Future eHealth trends for European health facilities in 2019

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). Future eHealth trends for European health facilities in 2019 [Dataset]. https://www.statista.com/statistics/1210644/ehealth-future-trends-health-facilities-europe/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2019 - Oct 2019
    Area covered
    Europe
    Description

    According to this survey conducted in 2019, the biggest e-health trends for the upcoming years for most health facilities were related to patient health records, health information exchange with external players, and the provision of telemedicine. Pre-COVID, ** percent of respondents surveyed in health facilities stated that patient health records were the biggest e-health trend for 2020 to 2023.

  5. eHealth priorities for European health facilities in 2019

    • statista.com
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    Statista, eHealth priorities for European health facilities in 2019 [Dataset]. https://www.statista.com/statistics/1210628/ehealth-priorities-health-facilities-europe/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2019 - Oct 2019
    Area covered
    Europe, Europe
    Description

    According to this survey conducted in 2019, the biggest priorities for most health facilities related to IT security and Electronic Medical Records (EMR). Pre-COVID, ** percent of respondents surveyed in health facilities stated that IT security was the biggest eHealth priority.

  6. Number and percent of respondents indicating how common they think each type...

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Michelle Anne Reyes; Heather D. Vance-Chalcraft (2023). Number and percent of respondents indicating how common they think each type of patient-provider relationship is, and which model they want. [Dataset]. http://doi.org/10.1371/journal.pone.0266802.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michelle Anne Reyes; Heather D. Vance-Chalcraft
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Number and percent of respondents indicating how common they think each type of patient-provider relationship is, and which model they want.

  7. e

    European Hospital Survey Benchmarking Deployment of eHealth services...

    • data.europa.eu
    excel xlsx
    Updated Dec 31, 2012
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    Directorate-General for Communications Networks, Content and Technology (2012). European Hospital Survey Benchmarking Deployment of eHealth services (2012-13 update) [Dataset]. https://data.europa.eu/data/datasets/european-hospital-survey-benchmarking-deployment-ehealth-services-2012-2013?locale=en
    Explore at:
    excel xlsxAvailable download formats
    Dataset updated
    Dec 31, 2012
    Dataset authored and provided by
    Directorate-General for Communications Networks, Content and Technology
    License

    http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

    Description

    Raw data of a survey on around 1800 acute hospitals to measure the level of deployment and take-up of ICT and eHealth applications. Coverage of EU28 Member States plus Iceland and Norvay. Interview realised during winter 2012/2013. A previous data collection was conducted in automn 2010 under DG INFSO SMART study 2009/022.

  8. n

    Data from: National monitoring and evaluation of eHealth: a scoping review

    • data.niaid.nih.gov
    • search.dataone.org
    • +1more
    zip
    Updated Dec 20, 2020
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    Sidsel Maria Monrad Villumsen; Julia Adler-Milstein; Christian Nøhr (2020). National monitoring and evaluation of eHealth: a scoping review [Dataset]. http://doi.org/10.5061/dryad.mk16b7r
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    zipAvailable download formats
    Dataset updated
    Dec 20, 2020
    Dataset provided by
    ,
    Authors
    Sidsel Maria Monrad Villumsen; Julia Adler-Milstein; Christian Nøhr
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Objective: There has been substantial growth in eHealth over the past decade, driven by expectations of improved healthcare system performance. Despite substantial eHealth investment, little is known about the monitoring and evaluation strategies for gauging progress in terms of eHealth availability and use. This scoping review aims to map the existing literature and depict the predominant approaches and methodological recommendations to national and regional monitoring and evaluation of eHealth availability and use in order to advance national strategies for monitoring and evaluating eHealth. Methods: Peer-reviewed and grey literature on monitoring and evaluation of eHealth availability and use, published between January 1st, 2009, to March 11th, 2019, were eligible for inclusion. 2,354 publications were identified, and 36 publications were included after full-text review. Data on publication type (e.g. empirical research), country, level (national or regional), publication year, method (e.g. survey), and domain (e.g., Provider-centric electronic record) was charted. Results: The majority of publications monitored availability alone or applied a combination of availability and use measures. Surveys were the most common data collection method (used in 86% of the publications). OECD, European Commission, Canada Health Infoway, and WHO have developed comprehensive eHealth monitoring and evaluation methodology recommendations. Discussion: Establishing continuous national eHealth monitoring and evaluation, based on international approaches and recommendations, could improve the ability for cross-country benchmarking and learning. This scoping review provides an overview of the predominant approaches and recommendations to national and regional monitoring and evaluating eHealth and thereby provides a starting point for developing national eHealth monitoring strategies.

  9. Expectations and Experiences of Implementing eHealth Services 2017: Health...

    • datasearch.gesis.org
    • services.fsd.tuni.fi
    Updated Feb 5, 2020
    + more versions
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    Kujala, Sari (2020). Expectations and Experiences of Implementing eHealth Services 2017: Health Professionals 2017 [Dataset]. https://datasearch.gesis.org/dataset/httpservices.fsd.uta.fioai--oaifsd.uta.fiFSD3319e
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    Dataset updated
    Feb 5, 2020
    Dataset provided by
    Finnish Social Science Data Archive
    Authors
    Kujala, Sari
    Description

    The ODA project in Finland focused on building digital social and health services to support self-care. This survey studied the expectations and experiences of social and health care professionals regarding the digitalised services provided by the project. Most respondents were health professionals working in the municipalities, social and health care areas, and hospital districts participating in the project. Similar data collected from managers/directors are available in FSD3320.

    The ODA digital services make use of information entered into the system by professionals and of information entered by patients/clients themselves on their personal well-being. For people who are willing to use digitalised services for their own self-care, the services provide well-being check-ups and training, assessment of symptoms and well-being, and care plans for those in need of long-term care or services. ODA is part of the Competent Workforce for the Future (COPE) project, funded by the Academy of Finland.

    Survey questions investigated whether the respondents felt they had received sufficient information of the future ODA services, their views on the services, expectations of changes service implementation would bring, and how the digital services would affect their work, professional role and patients/clients. Benefits and challenges were estimated, as well as expectations on how the implementation would go in practise. The respondents were also asked whether they had participated in the planning and developing of the services.

    Background variables included the respondent's age group, gender, occupation, as well as the type of organisation and municipality or district where they worked.

  10. Views on the biggest future eHealth trends in Europe in 2019

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Views on the biggest future eHealth trends in Europe in 2019 [Dataset]. https://www.statista.com/statistics/1010465/future-ehealth-trends-in-europe/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2019 - Oct 2019
    Area covered
    Europe
    Description

    This statistic displays the result of a survey where eHealth professionals from Europe in 2019 were asked what they see as the biggest eHealth trend within the next *** to three years. According to the results, ** percent of respondents think the biggest trend in near future will be the use of patient owned health data, while ** percent believe incentives by providers for using telemedicine services will become a big trend.

  11. s

    E-Health Market Size, Share & Growth Report | By 2033

    • straitsresearch.com
    pdf,excel,csv,ppt
    Updated Jan 31, 2025
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    Straits Research (2025). E-Health Market Size, Share & Growth Report | By 2033 [Dataset]. https://straitsresearch.com/report/e-health-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset authored and provided by
    Straits Research
    License

    https://straitsresearch.com/privacy-policyhttps://straitsresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    The global e-health market size was USD 457.78 billion in 2024 & is projected to grow from USD 568.70 billion in 2025 to USD 1,517.43 billion by 2033.
    Report Scope:

    Report MetricDetails
    Market Size in 2024 USD 457.78 Billion
    Market Size in 2025 USD 568.70 Billion
    Market Size in 2033 USD 1,517.43 Billion
    CAGR13.05% (2025-2033)
    Base Year for Estimation 2024
    Historical Data2021-2023
    Forecast Period2025-2033
    Report CoverageRevenue Forecast, Competitive Landscape, Growth Factors, Environment & Regulatory Landscape and Trends
    Segments CoveredBy Offering,By Deployment Mode,By End-User,By Region.
    Geographies CoveredNorth America, Europe, APAC, Middle East and Africa, LATAM,
    Countries CoveredU.S., Canada, U.K., Germany, France, Spain, Italy, Russia, Nordic, Benelux, China, Korea, Japan, India, Australia, Taiwan, South East Asia, UAE, Turkey, Saudi Arabia, South Africa, Egypt, Nigeria, Brazil, Mexico, Argentina, Chile, Colombia,

  12. Demographic characteristics of individuals participating in an interview (N...

    • plos.figshare.com
    xls
    Updated Jun 14, 2023
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    Michelle Anne Reyes; Heather D. Vance-Chalcraft (2023). Demographic characteristics of individuals participating in an interview (N = 12). [Dataset]. http://doi.org/10.1371/journal.pone.0266802.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michelle Anne Reyes; Heather D. Vance-Chalcraft
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Demographic characteristics of individuals participating in an interview (N = 12).

  13. D

    ehealth ecosystem value proposition identification questionnaire

    • phys-techsciences.datastations.nl
    pdf, zip
    Updated Oct 20, 2021
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    K Oberschmidt; K Oberschmidt; L. van Velsen; L. van Velsen (2021). ehealth ecosystem value proposition identification questionnaire [Dataset]. http://doi.org/10.17026/DANS-Z53-FNWJ
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    zip(14529), pdf(293247), pdf(429862)Available download formats
    Dataset updated
    Oct 20, 2021
    Dataset provided by
    DANS Data Station Physical and Technical Sciences
    Authors
    K Oberschmidt; K Oberschmidt; L. van Velsen; L. van Velsen
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Two surveys were sent out, within and outside of a large European research consortium, to investigate preference for value propositions of eHealth ecosystems. Different value propositions were presented (10 in the internal and 12 in the external survey) and rated by the participants on their feasibility and importance. Some demographics, mainly concerning the participants work environment, were collected to allow analysis on differences between certain industry types. Date Submitted: 2022-04-01

  14. Current eHealth challenges for healthcare providers in Europe 2021

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Current eHealth challenges for healthcare providers in Europe 2021 [Dataset]. https://www.statista.com/statistics/1010439/challenges-for-ehealth-providers-europe/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020 - Nov 2020
    Area covered
    Europe
    Description

    This statistic displays the result of a survey where eHealth professionals in Europe were asked to evaluate the main eHealth challenges for healthcare providers in 2021. In this year, 41 percent of respondents say that receiving funding is the biggest challenge for healthcare providers, while 32 percent of respondents found IT security and data privacy challenging.

  15. Countries perceived to be a role model for eHealth innovation in Europe in...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Countries perceived to be a role model for eHealth innovation in Europe in 2021 [Dataset]. https://www.statista.com/statistics/1010663/countries-perceived-to-be-a-role-model-for-ehealth-in-europe/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020 - Nov 2020
    Area covered
    Europe
    Description

    This statistic displays the result of a survey where eHealth professionals in Europe in 2021 were asked which European country they consider to be the leading role model in eHealth innovation. According to the results, ** percent of respondents believe Estonia is the leading country for eHealth innovation, followed by Denmark which received ** percent of responses.

  16. Opinion on future eHealth trends in Switzerland in 2019

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Opinion on future eHealth trends in Switzerland in 2019 [Dataset]. https://www.statista.com/statistics/1010784/future-ehealth-trends-in-switzerland/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2019 - Oct 2019
    Area covered
    Switzerland
    Description

    This statistic displays the results of a survey where eHealth professionals from Switzerland in 2019 were asked what they see as the biggest eHealth trends within the next two to three years. According to the results, ** percent of respondents from Switzerland think health information exchange with external providers will be the biggest trend in near future, while use of patient owned health records received ** percent of responses.

  17. Themes derived from participant feedback about five key features of an...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Genevieve Coorey; David Peiris; Tim Usherwood; Lis Neubeck; John Mulley; Julie Redfern (2023). Themes derived from participant feedback about five key features of an integrated eHealth intervention. [Dataset]. http://doi.org/10.1371/journal.pone.0218447.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Genevieve Coorey; David Peiris; Tim Usherwood; Lis Neubeck; John Mulley; Julie Redfern
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Themes derived from participant feedback about five key features of an integrated eHealth intervention.

  18. Opinion on prospects for eHealth innovation and investment in Europe 2021,...

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Opinion on prospects for eHealth innovation and investment in Europe 2021, by country [Dataset]. https://www.statista.com/statistics/1010683/levels-of-optimism-in-ehealth-sector-europe-by-country/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020 - Nov 2020
    Area covered
    Europe
    Description

    This statistic displays the result of a survey where eHealth professionals from selected European countries in 2021 were asked how the environment for eHealth innovation and investment in their country will develop over the next twelve months. According to the results, *** percent of respondents from Finland believe that eHealth prospects in their country will improve over the next year.

  19. eHealth tracker/smart watch ownership in France 2024, by age

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). eHealth tracker/smart watch ownership in France 2024, by age [Dataset]. https://www.statista.com/forecasts/1475456/ehealth-tracker-smart-watch-ownership-in-france-by-age
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2023 - Mar 2024
    Area covered
    France
    Description

    This statistic illustrates the share of eHealth tracker/smart watch owners in France in 2024. The results were sorted by age. As of **********, some ** percent of French respondents aged 18 to 29 years stated that they own eHealth trackers. The survey was conducted among ***** respondents. Access millions of exclusive survey results with Statista Consumer Insights.

  20. f

    Table_1_Co-designing eHealth and Equity Solutions: Application of the...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Nov 20, 2020
    + more versions
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    Osborne, Richard H.; Cheng, Christina; Elsworth, Gerald R. (2020). Table_1_Co-designing eHealth and Equity Solutions: Application of the Ophelia (Optimizing Health Literacy and Access) Process.DOCX [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000562958
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    Dataset updated
    Nov 20, 2020
    Authors
    Osborne, Richard H.; Cheng, Christina; Elsworth, Gerald R.
    Description

    Background: The unequal access, challenges and outcomes related to using technology have created the digital divide, which leads to health inequalities. The aim of this study was to apply the Ophelia (Optimizing Health Literacy and Access) process, a widely used systematic approach to whole of community co-design, to the digital context to generate solutions to improve health and equity outcomes.Methods: This was a mixed method study. A cross-sectional survey was undertaken at 3 health organizations in Victoria, Australia using the eHealth Literacy Questionnaire (eHLQ) as a needs assessment tool. Cluster analysis was conducted to identify subgroups with varying eHealth literacy needs. These data, combined with semi-structured interviews with clients, were used to generate vignettes representing different eHealth literacy profiles. The vignettes were presented at co-design workshops with clients and health professionals to generate solutions for digital health services improvement. Expert validation and proof-of-concept testing was explored through mapping the process against Ophelia guiding principles.Results: The cluster analyses identified 8 to 9 clusters with different profiles of eHealth literacy needs, with 4 to 6 vignettes developed to represent the eHealth literacy strengths and weaknesses of clients at each of the 3 sites. A total of 32, 43, and 32 solutions across 10 strategies were co-created based on ideas grounded in local expertise and experiences. Apart from digital solutions, non-digital solutions were frequently recommended as a strategy to address eHealth literacy needs. Expert validation identified at least half of the ideas were very important and feasible, while most of the guiding principles of the Ophelia process were successfully applied.Conclusion: By harnessing collective creativity through co-design, the Ophelia process has been shown to assist the development of solutions with the potential to improve health and equity outcomes in the digital context. Implementation of the solutions is needed to provide further evidence of the impact of the process. The suggested inclusion of non-digital solutions revealed through the co-design process reminds health organizations and policymakers that solutions should be flexible enough to suit individual needs. As such, taking a co-design approach to digital health initiatives will assist in preventing the widening of health inequalities.

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Michelle Anne Reyes; Heather D. Vance-Chalcraft (2023). Number and percent of respondents indicating how often they use online health sources when making decisions about their health. [Dataset]. http://doi.org/10.1371/journal.pone.0266802.t003
Organization logo

Number and percent of respondents indicating how often they use online health sources when making decisions about their health.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Jun 15, 2023
Dataset provided by
PLOShttp://plos.org/
Authors
Michelle Anne Reyes; Heather D. Vance-Chalcraft
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Number and percent of respondents indicating how often they use online health sources when making decisions about their health.

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