Research on the Application of Service Design in Maternal Extended Care

Ming Lv () and Yuehan Zhang ()
Additional contact information
Ming Lv: Shenyang Jianzhu University, Design Art Institute
Yuehan Zhang: Shenyang Jianzhu University, Design Art Institute

A chapter in Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024), 2025, pp 240-249 from Springer

Abstract: Abstract Aimed to improve maternal care, this study applied service design principles to address discontinuous and unsystematic care issues. Using a double drill model with 207 samples, high demand for psychological, nutrition, and exercise advice was found, varying by age, gestation, and parity. Knowledge, status, and support seeking correlated with service expectations. The service design approach integrates resources, meets personalized needs, and offers insights for future smart medical care.

Keywords: maternal nursing; Extended nursing; Service design; Individual demand; User experience (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-656-7_24

Ordering information: This item can be ordered from
http://www.springer.com/9789464636567

DOI: 10.2991/978-94-6463-656-7_24

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().