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Uncovering the Complexity of Care Networks – Towards a Taxonomy of Collaboration Complexity in Homecare

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In homecare, networks are formed by professional, semiprofessional, and informal actors, who collaborate to care for people in need. Modern information and communication technology (ICT) might play an important role to enhance cooperation in homecare networks. Through infrastructuring work, the authors seek to build a comprehensive understanding of the types of collaboration complexity in homecare networks to determine if, when and which technologies are most suitable. This paper examines how homecare networks can be classified according to collaboration complexity. A four-stage research design was followed to develop a taxonomy for homecare collaboration. The taxonomy was applied to 21 care networks, and five types of homecare networks were identified. The taxonomy considers network, tasks, and communication particularities across 13 dimensions, each of which includes three characteristics. Three clusters were identified as more likely than the others to benefit from increased technology use. The taxonomy and archetypes highlight which homecare network types could benefit from increased technology use. Additionally, the taxonomy allows for an iterative re-evaluation of networks to initiate measures for improvement.

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Renyi, Madeleine; Gaugisch, Petra; Hunck, Alexandra; Strunck, Stefan; Kunze, Christophe; Teuteberg, Frank (2022): Uncovering the Complexity of Care Networks – Towards a Taxonomy of Collaboration Complexity in Homecare. Computer Supported Cooperative Work (CSCW): Vol. 31, No. 3. DOI: 10.1007/s10606-022-09433-8. Springer. ISSN: 1573-7551. pp. 517-554

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Cluster analysis, Homecare networks, ICT, Infrastructuring work, Taxonomy development

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Number of citations to item: 5

  • Martina Brandt, Christian Deindl, Ginevra Floridi, Robert Heidemann, Judith Kaschowitz, Nekehia Quashie, Ellen Verbakel, Melanie Wagner (2023): Social inequalities and the wellbeing of family caregivers across European care regimes, In: Journal of Family Research, doi:10.20377/jfr-861
  • José Joaquín Mira, Pura Ballester, Eva Gil-Hernández, Luisanna Sambrano Valeriano, Esther Álvarez Gómez, Clara Olier Garate, Álvaro Márquez Ruiz, María Acedo Torrecilla, Almudena Arroyo Rodríguez, Ezequiel Hidalgo Galache, Paloma Navas Gutiérrez, Virtudes Pérez-Jover, Susana Lorenzo Martínez, Irene Carrillo Murcia, César Fernández Peris, Alicia Sánchez-García, María Asunción Vicente Ripoll, Ángel Cobos Vargas, Pastora Pérez-Pérez, Mercedes Guilabert Mora (2023): Safe Care and Medication Intake Provided by Caregivers at Home: Reality Care Study Protocol, In: Healthcare 15(11), doi:10.3390/healthcare11152190
  • Madeleine Renyi, Petra Gaugisch (2023): Komplexität bei der Zusammenarbeit im Helfermix häuslicher Pflege als Herausforderung für erfolgreiche Technikimplementierung: Fünf Fallbeispiele, In: Digitale Chancen in der häuslichen Pflege nutzen, doi:10.1007/978-3-662-68012-4_9
  • António Correia, Andrea Grover, Daniel Schneider, Ana Paula Pimentel, Ramon Chaves, Marcos Antonio de Almeida, Benjamim Fonseca (2023): Designing for Hybrid Intelligence: A Taxonomy and Survey of Crowd-Machine Interaction, In: Applied Sciences 4(13), doi:10.3390/app13042198
  • Babak A. Farshchian, Marius Mikalsen (2023): Using a Service Lens to Better Understand Practices –and Vice Versa, In: Computer Supported Cooperative Work (CSCW) 3(33), doi:10.1007/s10606-023-09478-3
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