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dc.contributor.authorHiragi, Shusukeen
dc.contributor.authorHatanaka, Junen
dc.contributor.authorSugiyama, Osamuen
dc.contributor.authorSaito, Kenichien
dc.contributor.authorNambu, Masayukien
dc.contributor.authorKuroda, Tomohiroen
dc.contributor.alternative平木, 秀輔ja
dc.contributor.alternative畠中, 純ja
dc.contributor.alternative杉山, 治ja
dc.contributor.alternative齊藤, 健一ja
dc.contributor.alternative南部, 雅幸ja
dc.contributor.alternative黒田, 知宏ja
dc.date.accessioned2023-01-18T01:18:15Z-
dc.date.available2023-01-18T01:18:15Z-
dc.date.issued2022-03-
dc.identifier.urihttp://hdl.handle.net/2433/278466-
dc.description.abstract[Background:] Hospital bed management is an important resource allocation task in hospital management, but currently, it is a challenging task. However, acquiring an optimal solution is also difficult because intraorganizational information asymmetry exists. Signaling, as defined in the fields of economics, can be used to mitigate this problem. [Objective:] We aimed to develop an assignment process that is based on a token economy as signaling intermediary. [Methods:] We implemented a game-like simulation, representing token economy–based bed assignments, in which 3 players act as ward managers of 3 inpatient wards (1 each). As a preliminary evaluation, we recruited 9 nurse managers to play and then participate in a survey about qualitative perceptions for current and proposed methods (7-point Likert scale). We also asked them about preferred rewards for collected tokens. In addition, we quantitatively recorded participant pricing behavior. [Results:] Participants scored the token economy–method positively in staff satisfaction (3.89 points vs 2.67 points) and patient safety (4.38 points vs 3.50 points) compared to the current method, but they scored the proposed method negatively for managerial rivalry, staff employee development, and benefit for patients. The majority of participants (7 out of 9) listed human resources as the preferred reward for tokens. There were slight associations between workload information and pricing. [Conclusions:] Survey results indicate that the proposed method can improve staff satisfaction and patient safety by increasing the decision-making autonomy of staff but may also increase managerial rivalry, as expected from existing criticism for decentralized decision-making. Participant behavior indicated that token-based pricing can act as a signaling intermediary. Given responses related to rewards, a token system that is designed to incorporate human resource allocation is a promising method. Based on aforementioned discussion, we concluded that a token economy–based bed allocation system has the potential to be an optimal method by mitigating information asymmetry.en
dc.language.isoeng-
dc.publisherJMIR Publications Inc.en
dc.rights©Shusuke Hiragi, Jun Hatanaka, Osamu Sugiyama, Kenichi Saito, Masayuki Nambu, Tomohiro Kuroda. Originally published in JMIR Formative Research (https://formative.jmir.org), 04.03.2022.en
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjecthospital administrationen
dc.subjectresource allocationen
dc.subjecttoken economyen
dc.subjectbed occupancyen
dc.subjecthospital managementen
dc.subjectsimulationen
dc.subjectdecision-makingen
dc.subjectorganizationen
dc.titleToken Economy–Based Hospital Bed Allocation to Mitigate Information Asymmetry: Proof-of-Concept Study Through Simulation Implementationen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleJMIR Formative Researchen
dc.identifier.volume6-
dc.identifier.issue3-
dc.relation.doi10.2196/28877-
dc.textversionpublisher-
dc.identifier.artnume28877-
dc.identifier.pmid35254264-
dcterms.accessRightsopen access-
datacite.awardNumber19K19386-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K19386/-
dc.identifier.eissn2561-326X-
jpcoar.funderName日本学術振興会ja
jpcoar.awardTitle代用貨幣を用いた医療機関における分散的意思決定の実証研究ja
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