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Assessment of the Effectiveness, Socio-Economic Impact and Implementation of a Digital Solution for Patients with Advanced Chronic Diseases: The ADLIFE Study Protocol

Author

Listed:
  • Borja García-Lorenzo

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain
    These authors contributed equally to this work.)

  • Ania Gorostiza

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain)

  • Nerea González

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain
    Osakidetza Basque Health Service, Barrualde-Galdakao, Integrated Health Organisation, 48960 Galdakao, Spain)

  • Igor Larrañaga

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain)

  • Maider Mateo-Abad

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain
    Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, 20014 Donostia, Basque Country, Spain)

  • Ana Ortega-Gil

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain)

  • Janika Bloemeke

    (OptiMedis, Burchardstrasse 17, 20095 Hamburg, Germany)

  • Oliver Groene

    (OptiMedis, Burchardstrasse 17, 20095 Hamburg, Germany)

  • Itziar Vergara

    (Biodonostia Health Research Institute, Paseo Dr. Begiristain s/n, 20014 Donostia, Basque Country, Spain)

  • Javier Mar

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain
    Unidad de Investigación AP-OSIs, Hospital Alto Deba, 20500 Arrasate-Mondragón, Gipuzkoa, Spain
    Instituto de Investigación Sanitaria Biodonostia, 20014 San Sebastián, Spain
    Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), 48960 Galdakao, Spain)

  • Sarah N. Lim Choi Keung

    (School of Engineering, University of Birmingham, Birmingham B15 2TT, UK
    Institute of Digital Healthcare, WMG, University of Warwick, Coventry CV4 7AL, UK)

  • Theodoros N. Arvanitis

    (School of Engineering, University of Birmingham, Birmingham B15 2TT, UK
    Institute of Digital Healthcare, WMG, University of Warwick, Coventry CV4 7AL, UK
    Digital & Data Driven Research Unit, University Hospitals Coventry & Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK)

  • Rachelle Kaye

    (Assuta Medical Centre Ashdod, Ashdod 7747629, Israel)

  • Elinor Dahary Halevy

    (Assuta Medical Centre Ashdod, Ashdod 7747629, Israel)

  • Baraka Nahir

    (Assuta Medical Centre Ashdod, Ashdod 7747629, Israel
    Maccabi Healthcare Services Southern Region, Omer 8496500, Israel)

  • Fritz Arndt

    (Gesunder Werra-Meißner-Kreis GmbH, 37269 Eschwege, Germany)

  • Anne Dichmann Sorknæs

    (Internal Medical & Emergency Department M/FAM, OUH, Svendvorg Hospital, Baagøes Allé 15, Indgang 51, 5700 Svendborg, Denmark)

  • Natassia Kamilla Juul

    (Internal Medical & Emergency Department M/FAM, OUH, Svendvorg Hospital, Baagøes Allé 15, Indgang 51, 5700 Svendborg, Denmark)

  • Mikael Lilja

    (Department of Public Health and Clinical Medicine, Unit of Research, Education and Development Östersund, Umeå University, 901 87 Umeå, Sweden)

  • Marie Holm Sherman

    (R&D Project Office, Region Jämtland Härjedalen, 831 30 Östersund, Sweden)

  • Gokce Banu Laleci Erturkmen

    (SRDC, ODTU Teknokent Silikon Blok Kat: 1 No: 16 Cankaya, Ankara 06800, Turkey)

  • Mustafa Yuksel

    (SRDC, ODTU Teknokent Silikon Blok Kat: 1 No: 16 Cankaya, Ankara 06800, Turkey)

  • Tim Robbins

    (Digital & Data Driven Research Unit, University Hospitals Coventry & Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK)

  • Ioannis Kyrou

    (Digital & Data Driven Research Unit, University Hospitals Coventry & Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK)

  • Harpal Randeva

    (Digital & Data Driven Research Unit, University Hospitals Coventry & Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK)

  • Roma Maguire

    (Department of Computing and Information Sciences, University of Strathclyde, Glasgow G1 1XQ, UK)

  • Lisa McCann

    (Department of Computing and Information Sciences, University of Strathclyde, Glasgow G1 1XQ, UK)

  • Morven Miller

    (Department of Computing and Information Sciences, University of Strathclyde, Glasgow G1 1XQ, UK)

  • Margaret Moore

    (Department of Computing and Information Sciences, University of Strathclyde, Glasgow G1 1XQ, UK)

  • John Connaghan

    (Department of Computing and Information Sciences, University of Strathclyde, Glasgow G1 1XQ, UK)

  • Ane Fullaondo

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain)

  • Dolores Verdoy

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain
    These authors contributed equally to this work.)

  • Esteban de Manuel Keenoy

    (Kronikgune Institute for Health Services Research, Ronda de Azkue 1, Torre del Bilbao Exhibition Centre, 48902 Barakaldo, Basque Country, Spain)

Abstract

Due to population ageing and medical advances, people with advanced chronic diseases (ACD) live longer. Such patients are even more likely to face either temporary or permanent reduced functional reserve, which typically further increases their healthcare resource use and the burden of care on their caregiver(s). Accordingly, these patients and their caregiver(s) may benefit from integrated supportive care provided via digitally supported interventions. This approach may either maintain or improve their quality of life, increase their independence, and optimize the healthcare resource use from early stages. ADLIFE is an EU-funded project, aiming to improve the quality of life of older people with ACD by providing integrated personalized care via a digitally enabled toolbox. Indeed, the ADLIFE toolbox is a digital solution which provides patients, caregivers, and health professionals with digitally enabled, integrated, and personalized care, supporting clinical decisions, and encouraging independence and self-management. Here we present the protocol of the ADLIFE study, which is designed to provide robust scientific evidence on the assessment of the effectiveness, socio-economic, implementation, and technology acceptance aspects of the ADLIFE intervention compared to the current standard of care (SoC) when applied in real-life settings of seven different pilot sites across six countries. A quasi-experimental trial following a multicenter, non-randomized, non-concurrent, unblinded, and controlled design will be implemented. Patients in the intervention group will receive the ADLIFE intervention, while patients in the control group will receive SoC. The assessment of the ADLIFE intervention will be conducted using a mixed-methods approach.

Suggested Citation

  • Borja García-Lorenzo & Ania Gorostiza & Nerea González & Igor Larrañaga & Maider Mateo-Abad & Ana Ortega-Gil & Janika Bloemeke & Oliver Groene & Itziar Vergara & Javier Mar & Sarah N. Lim Choi Keung &, 2023. "Assessment of the Effectiveness, Socio-Economic Impact and Implementation of a Digital Solution for Patients with Advanced Chronic Diseases: The ADLIFE Study Protocol," IJERPH, MDPI, vol. 20(4), pages 1-14, February.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3152-:d:1064787
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    References listed on IDEAS

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