Effects-Driven Participatory Design: Learning from Sampling Interruptions

Publikation: Kapitel i bog/rapport/konferenceprocesBidrag til bog/antologi

Resumé

Participatory design (PD) can play an important role in obtaining benefits from healthcare information technologies, but we contend that to fulfil this role PD must incorporate feedback from real use of the technologies. In this paper we describe an effects-driven PD approach that revolves around a sustained focus on pursued effects and uses the experience sampling method (ESM) to collect real-use feedback. To illustrate the use of the method we analyze a case that involves the organizational implementation of electronic whiteboards at a Danish hospital to support the clinicians' intra- and interdepartmental coordination. The hospital aimed to reduce the number of phone calls involved in coordinating work because many phone calls were seen as unnecessary interruptions. To learn about the interruptions we introduced an app for capturing quantitative data and qualitative feedback about the phone calls. The investigation showed that the electronic whiteboards had little potential for reducing the number of phone calls at the operating ward. The combination of quantitative data and qualitative feedback worked both as a basis for aligning assumptions to data and showed ESM as an instrument for triggering in-situ reflection. The participant-driven design and redesign of the way data were captured by means of ESM is a central contribution to the understanding of how to conduct effects-driven PD.
Participatory design (PD) can play an important role in obtaining benefits from healthcare information technologies, but we contend that to fulfil this role PD must incorporate feedback from real use of the technologies. In this paper we describe an effects-driven PD approach that revolves around a sustained focus on pursued effects and uses the experience sampling method (ESM) to collect real-use feedback. To illustrate the use of the method we analyze a case that involves the organizational implementation of electronic whiteboards at a Danish hospital to support the clinicians' intra- and interdepartmental coordination. The hospital aimed to reduce the number of phone calls involved in coordinating work because many phone calls were seen as unnecessary interruptions. To learn about the interruptions we introduced an app for capturing quantitative data and qualitative feedback about the phone calls. The investigation showed that the electronic whiteboards had little potential for reducing the number of phone calls at the operating ward. The combination of quantitative data and qualitative feedback worked both as a basis for aligning assumptions to data and showed ESM as an instrument for triggering in-situ reflection. The participant-driven design and redesign of the way data were captured by means of ESM is a central contribution to the understanding of how to conduct effects-driven PD.
SprogEngelsk
TitelParticipatory Design & Health Information Technology
RedaktørerAnne Marie Kanstrup, Ann Bygholm, Pernille Bertelsen, Christian Nøhr
Antal sider11
Vol/bind233
ForlagIOS Press
Dato31 jan. 2017
Sider113-127
Kapitel8
ISBN (Trykt)978-1-61499-739-9
ISBN (Elektronisk)978-1-61499-740-5
DOI
StatusUdgivet - 31 jan. 2017
NavnStudies in Health Technology and Informatics
Vol/bind233
ISSN0926-9630

Citer dette

Brandrup, M., Østergaard, K. L., Hertzum, M., Karasti, T. H., & Simonsen, J. (2017). Effects-Driven Participatory Design: Learning from Sampling Interruptions. I A. M. Kanstrup, A. Bygholm, P. Bertelsen, & C. Nøhr (red.), Participatory Design & Health Information Technology (Bind 233, s. 113-127). IOS Press. Studies in Health Technology and Informatics, Bind. 233, DOI: 10.3233/978-1-61499-740-5-113
Brandrup, Morten ; Østergaard, Kija Lin ; Hertzum, Morten ; Karasti, Teija Helena ; Simonsen, Jesper. / Effects-Driven Participatory Design : Learning from Sampling Interruptions. Participatory Design & Health Information Technology. red. / Anne Marie Kanstrup ; Ann Bygholm ; Pernille Bertelsen ; Christian Nøhr. Bind 233 IOS Press, 2017. s. 113-127 (Studies in Health Technology and Informatics, Bind 233).
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Brandrup, M, Østergaard, KL, Hertzum, M, Karasti, TH & Simonsen, J 2017, Effects-Driven Participatory Design: Learning from Sampling Interruptions. i AM Kanstrup, A Bygholm, P Bertelsen & C Nøhr (red), Participatory Design & Health Information Technology. bind. 233, IOS Press, Studies in Health Technology and Informatics, bind. 233, s. 113-127. DOI: 10.3233/978-1-61499-740-5-113

Effects-Driven Participatory Design : Learning from Sampling Interruptions. / Brandrup, Morten; Østergaard, Kija Lin; Hertzum, Morten; Karasti, Teija Helena; Simonsen, Jesper.

Participatory Design & Health Information Technology. red. / Anne Marie Kanstrup; Ann Bygholm; Pernille Bertelsen; Christian Nøhr. Bind 233 IOS Press, 2017. s. 113-127.

Publikation: Kapitel i bog/rapport/konferenceprocesBidrag til bog/antologi

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T2 - Learning from Sampling Interruptions

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AU - Simonsen,Jesper

PY - 2017/1/31

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N2 - Participatory design (PD) can play an important role in obtaining benefits from healthcare information technologies, but we contend that to fulfil this role PD must incorporate feedback from real use of the technologies. In this paper we describe an effects-driven PD approach that revolves around a sustained focus on pursued effects and uses the experience sampling method (ESM) to collect real-use feedback. To illustrate the use of the method we analyze a case that involves the organizational implementation of electronic whiteboards at a Danish hospital to support the clinicians' intra- and interdepartmental coordination. The hospital aimed to reduce the number of phone calls involved in coordinating work because many phone calls were seen as unnecessary interruptions. To learn about the interruptions we introduced an app for capturing quantitative data and qualitative feedback about the phone calls. The investigation showed that the electronic whiteboards had little potential for reducing the number of phone calls at the operating ward. The combination of quantitative data and qualitative feedback worked both as a basis for aligning assumptions to data and showed ESM as an instrument for triggering in-situ reflection. The participant-driven design and redesign of the way data were captured by means of ESM is a central contribution to the understanding of how to conduct effects-driven PD.

AB - Participatory design (PD) can play an important role in obtaining benefits from healthcare information technologies, but we contend that to fulfil this role PD must incorporate feedback from real use of the technologies. In this paper we describe an effects-driven PD approach that revolves around a sustained focus on pursued effects and uses the experience sampling method (ESM) to collect real-use feedback. To illustrate the use of the method we analyze a case that involves the organizational implementation of electronic whiteboards at a Danish hospital to support the clinicians' intra- and interdepartmental coordination. The hospital aimed to reduce the number of phone calls involved in coordinating work because many phone calls were seen as unnecessary interruptions. To learn about the interruptions we introduced an app for capturing quantitative data and qualitative feedback about the phone calls. The investigation showed that the electronic whiteboards had little potential for reducing the number of phone calls at the operating ward. The combination of quantitative data and qualitative feedback worked both as a basis for aligning assumptions to data and showed ESM as an instrument for triggering in-situ reflection. The participant-driven design and redesign of the way data were captured by means of ESM is a central contribution to the understanding of how to conduct effects-driven PD.

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Brandrup M, Østergaard KL, Hertzum M, Karasti TH, Simonsen J. Effects-Driven Participatory Design: Learning from Sampling Interruptions. I Kanstrup AM, Bygholm A, Bertelsen P, Nøhr C, red., Participatory Design & Health Information Technology. Bind 233. IOS Press. 2017. s. 113-127. (Studies in Health Technology and Informatics, Bind 233). Tilgængelig fra, DOI: 10.3233/978-1-61499-740-5-113