Understanding the antecedents of patients’ missed appointments: the perspective of attribution theory

Fan, Guorui; Deng, Zhaohua; Liu, Lai C.

doi:10.1016/j.dsm.2023.09.004

Data Science and Management

2023

DOI: 10.1016/j.dsm.2023.09.004

|View full text |Cite

Understanding the antecedents of patients’ missed appointments: the perspective of attribution theory

Guorui Fan,

Zhaohua Deng,

Lai C. Liu

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Predictors of missed hospital appointments in patients with posterior compartment pelvic floor disorders in a tertiary referral center

Gala,

Saini,

Fernandes

et al. 2024

Continence

View full text Add to dashboard Cite

Predictors of missed hospital appointments in patients with posterior compartment pelvic floor disorders in a tertiary referral center

Gala,

Saini,

Fernandes

et al. 2024

Continence

View full text Add to dashboard Cite

Sharing information about medical crowdfunding projects on social networking sites: the integration of attribution-affect model of helping and social capital theory

Deng,

Xue,

et al. 2024

ITP

View full text Add to dashboard Cite

PurposeSharing project information is critical for the success of medical crowdfunding campaigns. However, few users share medical crowdfunding projects on their social networks, and the sharing behavior of medical crowdfunding projects on social networking sites has not been well studied. Therefore, this study explored the factors and potential mechanisms influencing users’ sharing behaviors on networking sites.Design/methodology/approachA research model was developed based on the attribution-affect model of helping and social capital theory. Data were collected using a longitudinal survey. Partial least squares structural equation modeling was used to analyze the collected data. We conducted post hoc analyses to validate the results of the quantitative analysis.FindingsThe analysis results verified the effects of perceived external attribution, perceived uncontrollable attributions, and perceived unstable attributions on sympathy and identified the effect of sympathy and social characteristics of medical crowdfunding users on sharing behavior.Originality/valueThis research provides a comprehensive theoretical understanding of users’ sharing behavior characteristics and provides implications for enhancing the efficiency of medical crowdfunding activities.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Understanding the antecedents of patients’ missed appointments: the perspective of attribution theory

Cited by 2 publications

References 47 publications

Predictors of missed hospital appointments in patients with posterior compartment pelvic floor disorders in a tertiary referral center

Predictors of missed hospital appointments in patients with posterior compartment pelvic floor disorders in a tertiary referral center

Sharing information about medical crowdfunding projects on social networking sites: the integration of attribution-affect model of helping and social capital theory

Contact Info

Product

Resources

About