Impact of Technical Support and Information Provision on Patient No-show Behavior

Patient no-shows pose a significant challenge in healthcare operations, disrupting appointment schedules and affecting overall efficiency. Effectively addressing the challenge of reducing patient no-shows is crucial for outpatient service management. This study evaluates how the design of appointment systems affects patient no-show behavior. Using a difference-in-differences methodology, we analyze the effects of two appointment system update events—technical support and information provision—at a Chinese hospital. Our analysis reveals that technical support and information provision are associated with average reductions of 22.40% and 10.91%, respectively. To investigate the mechanisms behind these effects, we conduct a randomized controlled experiment with 233 participants. Our findings reveal that perceived effort and credibility mediate the relationship between information provision and patient no-shows. However, for technical support, only perceived credibility acts as a mediator. This study provides valuable insights for healthcare operations, offering design recommendations to address no-show behavior in hospital appointment systems.

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Publication Details

Journal
Production and Operations Management
Published
2024-08-12
DOI
https://doi.org/10.1177/10591478241276135
Citations
4
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
1.76
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article

Impact of Technical Support and Information Provision on Patient No-show Behavior

Miao Hu, Yang Duan, Liangfei Qiu, Shenyang Jiang et al.
4 citations
Production and Operations Management
Consumer Retail Behavior Studies
1.76
article

Impact of Technical Support and Information Provision on Patient No-show Behavior

Miao Hu, Yang Duan, Liangfei Qiu, Shenyang Jiang, Yong Jin
article en
4 citations

Abstract

Patient no-shows pose a significant challenge in healthcare operations, disrupting appointment schedules and affecting overall efficiency. Effectively addressing the challenge of reducing patient no-shows is crucial for outpatient service management. This study evaluates how the design of appointment systems affects patient no-show behavior. Using a difference-in-differences methodology, we analyze the effects of two appointment system update events—technical support and information provision—at a Chinese hospital. Our analysis reveals that technical support and information provision are associated with average reductions of 22.40% and 10.91%, respectively. To investigate the mechanisms behind these effects, we conduct a randomized controlled experiment with 233 participants. Our findings reveal that perceived effort and credibility mediate the relationship between information provision and patient no-shows. However, for technical support, only perceived credibility acts as a mediator. This study provides valuable insights for healthcare operations, offering design recommendations to address no-show behavior in hospital appointment systems.

Production and Operations ManagementVol. 34(1)
Tongji University (CN), Hong Kong Baptist University (HK), Hong Kong Polytechnic University (HK), University of Florida (US), Soochow University (CN)
Openalex Percentile: Top 13%
Consumer Retail Behavior Studies
1.76
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