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Perrin Franck C, Babington-Ashaye A, Dietrich D, Bediang G, Veltsos P, Gupta PP, Juech C, Kadam R, Collin M, Setian L, Serrano Pons J, Kwankam SY, Garrette B, Barbe S, Bagayoko CO, Mehl G, Lovis C, Geissbuhler A. Correction: iCHECK-DH: Guidelines and Checklist for the Reporting on Digital Health Implementations. J Med Internet Res 2023; 25:e49027. [PMID: 37201181 PMCID: PMC10236274 DOI: 10.2196/49027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 05/15/2023] [Indexed: 05/20/2023] Open
Abstract
[This corrects the article DOI: 10.2196/46694.].
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Affiliation(s)
- Caroline Perrin Franck
- Department of Radiology and Medical InformaticsFaculty of MedicineUniversity of GenevaGenevaSwitzerland
- Geneva Digital Health HubGenevaSwitzerland
| | - Awa Babington-Ashaye
- Department of Radiology and Medical InformaticsFaculty of MedicineUniversity of GenevaGenevaSwitzerland
- Geneva Digital Health HubGenevaSwitzerland
| | | | - Georges Bediang
- Faculty of Medicine and Biomedical SciencesUniversity of Yaoundé 1YaoundéCameroon
| | | | | | - Claudia Juech
- Government InnovationBloomberg PhilanthropiesNew York, NYUnited States
| | - Rigveda Kadam
- Foundation for Innovative New DiagnosticsGenevaSwitzerland
| | | | | | | | - S Yunkap Kwankam
- International Society for Telemedicine & eHealthBaselSwitzerland
| | | | | | - Cheick Oumar Bagayoko
- Centre d’Innovation et de Santé DigitaleDigiSanté-MaliUniversité des sciences, des techniques et des technologies de BamakoBamakoMali
- Centre d’Expertise et de Recherche en Télémédecine et E-SantéBamakoMali
| | - Garrett Mehl
- Department of Digital Health and InnovationWorld Health OrganizationGenevaSwitzerland
| | - Christian Lovis
- Department of Radiology and Medical InformaticsFaculty of MedicineUniversity of GenevaGenevaSwitzerland
- Division of Medical Information SciencesGeneva University HospitalsGenevaSwitzerland
| | - Antoine Geissbuhler
- Department of Radiology and Medical InformaticsFaculty of MedicineUniversity of GenevaGenevaSwitzerland
- Geneva Digital Health HubGenevaSwitzerland
- Division of Medical Information SciencesGeneva University HospitalsGenevaSwitzerland
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Perrin Franck C, Babington-Ashaye A, Dietrich D, Bediang G, Veltsos P, Gupta PP, Juech C, Kadam R, Collin M, Setian L, Serrano Pons J, Kwankam SY, Garrette B, Barbe S, Bagayoko CO, Mehl G, Lovis C, Geissbuhler A. iCHECK-DH: Guidelines and Checklist for the Reporting on Digital Health Implementations. J Med Internet Res 2023; 25:e46694. [PMID: 37163336 PMCID: PMC10209789 DOI: 10.2196/46694] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/18/2023] [Accepted: 04/21/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND Implementation of digital health technologies has grown rapidly, but many remain limited to pilot studies due to challenges, such as a lack of evidence or barriers to implementation. Overcoming these challenges requires learning from previous implementations and systematically documenting implementation processes to better understand the real-world impact of a technology and identify effective strategies for future implementation. OBJECTIVE A group of global experts, facilitated by the Geneva Digital Health Hub, developed the Guidelines and Checklist for the Reporting on Digital Health Implementations (iCHECK-DH, pronounced "I checked") to improve the completeness of reporting on digital health implementations. METHODS A guideline development group was convened to define key considerations and criteria for reporting on digital health implementations. To ensure the practicality and effectiveness of the checklist, it was pilot-tested by applying it to several real-world digital health implementations, and adjustments were made based on the feedback received. The guiding principle for the development of iCHECK-DH was to identify the minimum set of information needed to comprehensively define a digital health implementation, to support the identification of key factors for success and failure, and to enable others to replicate it in different settings. RESULTS The result was a 20-item checklist with detailed explanations and examples in this paper. The authors anticipate that widespread adoption will standardize the quality of reporting and, indirectly, improve implementation standards and best practices. CONCLUSIONS Guidelines for reporting on digital health implementations are important to ensure the accuracy, completeness, and consistency of reported information. This allows for meaningful comparison and evaluation of results, transparency, and accountability and informs stakeholder decision-making. i-CHECK-DH facilitates standardization of the way information is collected and reported, improving systematic documentation and knowledge transfer that can lead to the development of more effective digital health interventions and better health outcomes.
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Affiliation(s)
- Caroline Perrin Franck
- Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Geneva Digital Health Hub, Geneva, Switzerland
| | - Awa Babington-Ashaye
- Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Geneva Digital Health Hub, Geneva, Switzerland
| | | | - Georges Bediang
- Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon
| | | | | | - Claudia Juech
- Government Innovation, Bloomberg Philanthropies, New York, NY, United States
| | - Rigveda Kadam
- Foundation for Innovative New Diagnostics, Geneva, Switzerland
| | | | | | | | - S Yunkap Kwankam
- International Society for Telemedicine & eHealth, Basel, Switzerland
| | | | | | - Cheick Oumar Bagayoko
- Centre d'Innovation et de Santé Digitale, DigiSanté-Mali, Université des sciences, des techniques et des technologies de Bamako, Bamako, Mali
- Centre d'Expertise et de Recherche en Télémédecine et E-Santé, Bamako, Mali
| | - Garrett Mehl
- Department of Digital Health and Innovation, World Health Organization, Geneva, Switzerland
| | - Christian Lovis
- Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Division of Medical Information Sciences, Geneva University Hospitals, Geneva, Switzerland
| | - Antoine Geissbuhler
- Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Geneva Digital Health Hub, Geneva, Switzerland
- Division of Medical Information Sciences, Geneva University Hospitals, Geneva, Switzerland
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Gonzalez-Bautista E, de Souto Barreto P, Tavassoli N, Ranarijhon C, Pons JS, Rolland Y, Andrieu S, Delrieu J. Reliability of Self-Screening for Intrinsic Capacity Impairments Using the ICOPE Monitor App. J Frailty Aging 2023; 12:291-297. [PMID: 38008979 DOI: 10.14283/jfa.2023.34] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2023]
Abstract
AIM To verify the inter-rater agreement of the Integrated Care for Older People (ICOPE) STEP 1 screening tool using the ICOPE Monitor app, comparing self-assessment to a screening performed by a health professional. METHODS We compared the results of the ICOPE Step 1 obtained by self-screening with those obtained by a professional screening using Gwet's agreement coefficient in two studies. Study 1 tested inter-rater reliability in participants to the INSPIRE-T cohort who agreed to undergo the self-and the professional screening on the same day. Study 2 used data from the INSPIRE-ICOPE care cohort. We included real-life users of the French health system whose first ICOPE Step 1 was a self-assessment followed by a professional Step 1within 130 days (mean=76 days, SD=60). RESULTS Study 1 included 79 participants (45 aged less than 60, 34 aged 60 and over, 60% female, mean (SD) age of 54.5 (18.5) years). Of the 207 participants in Study 2, 49 were less than 60, and 158 were 60 and over (54% female, mean (SD) age 67 (16.1) years). Agreement coefficients in Study 1 ranged from 0.49 (CI95% 0.24; 0.66) in the cognition domain - moderate agreement) to 0.99 (CI95% 0.96;1.00) in the nutrition domain - very good agreement); and in Study 2 from 0.36 (CI95% 0.23;0.49) in the cognition domain to 0.97 (95% 0.95;1.00) in the nutrition domain. The agreement coefficients for the cognition and hearing domains were higher for the participants aged <60 than those aged 60 and over. The time orientation items (cognition) showed high reliability. CONCLUSION Our study supports using ICOPE Step 1 as a self-assessment screening tool. High reliability was found for intrinsic capacity's nutrition, psychological, and locomotion domains, regardless of age. We discuss aspects of the self-assessment of cognition, vision, and hearing domains when using the ICOPE monitor app in older adults.
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Affiliation(s)
- E Gonzalez-Bautista
- Emmanuel Gonzalez-Bautista. Gerontopole of Toulouse, Institute of Ageing, Toulouse University Hospital (CHU Toulouse), 37 Allée Jules Guesde, 31000 Toulouse, France,
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Gómez i Prat J, Essadek HO, Esperalba J, Serrat FZ, Guiu IC, Goterris L, Zules-Oña R, Choque E, Pastoret C, Ponces NC, de los Santos JJ, Pons JS, Dehousse A, Albajar-Viñas P, Pumarola T, Campins M, Sulleiro E. COVID-19: an opportunity of systematic integration for Chagas disease. Example of a community-based approach within the Bolivian population in Barcelona. BMC Infect Dis 2022; 22:298. [PMID: 35346096 PMCID: PMC8960226 DOI: 10.1186/s12879-022-07305-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 03/17/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
As a Neglected Tropical Disease associated with Latin America, Chagas Disease (CD) is little known in non-endemic territories of the Americas, Europe and Western Pacific, making its control challenging, with limited detection rates, healthcare access and consequent epidemiological silence. This is reinforced by its biomedical characteristics—it is usually asymptomatic—and the fact that it mostly affects people with low social and financial resources. Because CD is mainly a chronic infection, which principally causes a cardiomyopathy and can also cause a prothrombotic status, it increases the risk of contracting severe COVID-19.
Methods
In order to get an accurate picture of CD and COVID-19 overlapping and co-infection, this operational research draws on community-based experience and participative-action-research components. It was conducted during the Bolivian elections in Barcelona on a representative sample of that community.
Results
The results show that 55% of the people interviewed had already undergone a previous T. cruzi infection screening—among which 81% were diagnosed in Catalonia and 19% in Bolivia. The prevalence of T. cruzi infection was 18.3% (with 3.3% of discordant results), the SARS-CoV-2 22.3% and the coinfection rate, 6%. The benefits of an integrated approach for COVID-19 and CD were shown, since it only took an average of 25% of additional time per patient and undoubtedly empowered the patients about the co-infection, its detection and care. Finally, the rapid diagnostic test used for COVID-19 showed a sensitivity of 89.5%.
Conclusions
This research addresses CD and its co-infection, through an innovative way, an opportunity of systematic integration, during the COVID-19 pandemic.
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Lemaire J, Ramil E, Thouvenot VI, Pons JS. EpidemiXs: Harnessing digital technology in the fight against COVID-19 and the associated infodemic. Technol Health Care 2021; 30:509-512. [PMID: 34957971 DOI: 10.3233/thc-213567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND EpidemiXs is an innovative ecosystem of digital tools centralizing official and validated information on COVID-19 for healthcare workers and the general public in a single hub. OBJECTIVE The vision of EpidemiXs is to foster collaboration between researchers, institutions and individuals to promote "open data" in order to enrich the scientific community and further accelerate science in the fight against COVID-19. METHODS Through its set of solutions, EpidemiXs Info, EpidemiXs TV and EpidemiXs Studies, this innovative ecosystem contributes to advancing collaborations, data collection and analysis, and helps find funders. RESULTS EpidemiXs was launched in March 2020 in Spain with 30 healthcare institutions and rapidly reached close to 1 million users and 2 million views. EpidemiXs gained international recognition when it was awarded the Barcelona Health Hub Awards (BHHAwards) 2020 of the category "Best Startup Initiative to help tackle COVID-19". CONCLUSION EpidemiXs has proven the efficiency of the rapid deployment of digital tools in times of COVID-19.
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