Umeå universitets logga

umu.sePublikationer
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Evaluating the preferences and willingness-to-pay for oral antidiabetic drugs among patients with type 2 diabetes mellitus in china: a discrete choice experiment
Umeå universitet, Medicinska fakulteten, Institutionen för epidemiologi och global hälsa. GongJing Healthcare (Nanjing) Co. Ltd, Nanjing, China.ORCID-id: 0000-0001-8043-0411
GongJing Healthcare (Nanjing) Co. Ltd, Nanjing, China.
School of Biomedical Engineering, McMaster University, Hamilton, Canada.
School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China; Center for Social Science Survey and Data, Tianjin University, Tianjin, China.
2024 (Engelska)Ingår i: Patient, ISSN 1178-1653, E-ISSN 1178-1661Artikel i tidskrift (Refereegranskat) Epub ahead of print
Abstract [en]

Purpose: To quantify the preferences for an oral antidiabetic drug (OAD) among patients with type 2 diabetes mellitus (T2DM) in China.

Methods: A discrete choice experiment (DCE) with hypothetical OAD profiles was performed among patients with T2DM recruited from both online and offline sources. Each patient completed 12 DCE choice tasks. The attributes, elicited through mixed methods, include blood glucose level decrease, blood glucose level stability, frequency of medication, gastrointestinal side effects, dose adjustment and out-of-pocket expense. The conditional logit regression model was used to analyze the data. Patients’ willingness-to-pay (WTP) was also calculated. Subgroup analyses based on patient characteristics were also conducted.

Results: A total of 741 respondents were included in the analysis sample, covering 456 respondents online and 285 offline. The result showed that all attributes and levels were statistically significant, except one level “dose adjustment required for patients with hepatic or renal insufficiency” in the attribute of dose adjustment. WTP results showed that patients were willing to pay 12.06 and 23.20 yuan, respectively to reduce the frequency of medication from “once per day” and “three times per day” to “once every 2 weeks”, respectively. Subgroup analyses showed that the frequency of medication (once versus two to three times per day) had the largest impact and influenced most coefficient estimates.

Conclusion: The results suggest that Chinese patients with T2DM prioritized better efficacy, less frequency of medication, lower gastrointestinal side effects, no dose adjustment required for patients with hepatic or renal insufficiency, and less out-of-pocket expense of OAD treatment.

Ort, förlag, år, upplaga, sidor
Springer Nature, 2024.
Nationell ämneskategori
Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi
Identifikatorer
URN: urn:nbn:se:umu:diva-223845DOI: 10.1007/s40271-024-00694-7ISI: 001205407800001PubMedID: 38642244Scopus ID: 2-s2.0-85190755956OAI: oai:DiVA.org:umu-223845DiVA, id: diva2:1855067
Tillgänglig från: 2024-04-29 Skapad: 2024-04-29 Senast uppdaterad: 2024-04-29

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextPubMedScopus

Person

Chuang, Ling-Hsiang

Sök vidare i DiVA

Av författaren/redaktören
Chuang, Ling-Hsiang
Av organisationen
Institutionen för epidemiologi och global hälsa
I samma tidskrift
Patient
Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetricpoäng

doi
pubmed
urn-nbn
Totalt: 41 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf