Evidence map›Paper›PMID 36293603›Full record

ArticleInternational journal of environmental research and public health2022

Price Decision-Making in Dual-Channel Healthcare Services Supply Chain Considering the Channel Acceptance, Price Ceiling, and Public Welfare.

Yanbo Ma, Zheng Li, Kaiyue Liu, Zhengmin Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yanbo MaSchool of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China.ORCID 0000-0002-4737-3352
Zheng LiSchool of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China.
Kaiyue LiuSchool of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China.
Zhengmin LiuSchool of Management Science and Engineering, Shandong University of Finance and Economics, Jinan 250014, China.ORCID 0000-0002-8115-6773

Funding

Key Research and Development Plan of Shandong Province 2018GGX101009National Science Foundation of China 61571272
6 · The paper itself

Abstract

Given that an increasing number of online healthcare channels play an essential role as a supply method in the healthcare service supply chain (HSSC), this paper studies the price decision-making problem for a dual-channel HSSC considering the channel acceptance, price ceiling, and public welfare. In this HSSC, a healthcare institution establishes both a traditional offline channel and an online channel to provide healthcare services for some health conditions. Considering the public welfare of healthcare institutions, we employ a sum formula of economic revenue and patient surplus to describe the total revenue of both healthcare service channels. Based on the Stackelberg game, we develop a decentralized supply chain model to maximize supply chain members' revenue. By employing the Karush-Kuhn-Tucker optimality condition, we derive an analytical expression for the optimal service price, which includes the functions of the public welfare coefficient and channel acceptance. Finally, we conduct extensive numerical analyses under various system parameters to verify the optimal price decision-making strategies. Our analytical results indicate that: (1) the healthcare service price is closely related to the patients' channel acceptance, the public welfare coefficient, and the government price ceiling policy; (2) the public welfare coefficient strongly influences the service price and total revenue, and its increase can decrease the economic revenue of the HSSC; (3) the acceptance of online channels is an essential factor that should be carefully considered in the construction of a dual-channel HSSC. Improving patient acceptance of online channels is conducive to developing and improving a sustainable dual-channel HSSC.

Indexed as

CommerceDelivery of Health CareCosts and Cost AnalysisHumansdual-channelhealthcare servicesprice ceilingprice decision-makingpublic welfareStackelberg game

Identifiers

PMID36293603
PMCPMC9602137

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.