Evidence map›Paper›PMID 38221900›Full record

ArticleInternational journal of technology assessment in health care2024

Quantifying stakeholders' preference for implantable medical devices in China: a discrete choice experiment.

Bin Wan, Jiaojie Shen, Jiali Chen, Linjia Weng, Peng Zhao, Yunfei Deng, Lingli Zhang, Feiyi Zhang, Yingpeng Wang, Xin Li and 3 more

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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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

13 authors.

Bin WanSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Jiaojie ShenSchool of Pharmacy, Nanjing Medical University, Nanjing, China.
Jiali ChenSchool of Health Policy & Management, Nanjing Medical University, Nanjing, China.
Linjia WengDepartment of Medicine Pricing and Bidding and Purchasing, National Healthcare Security Administration, Beijing, China.
Peng ZhaoJiangsu Province Medical Insurance Fund Management Center, Jiangsu Province Healthcare Security Administration, Nanjing, China.
Yunfei DengDepartment of Medical Insurance Monitoring, Nanjing Healthcare Security Administration, Nanjing, China.
Lingli ZhangSchool of Pharmacy, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0001-7987-0217
Feiyi ZhangDepartment of Health Insurance Management, The First Affiliated Hospital of Nanjing Medical University/Jiangsu Province Hospital, Nanjing, China.
Yingpeng WangDepartment of Health Insurance Management, The First Affiliated Hospital of Nanjing Medical University/Jiangsu Province Hospital, Nanjing, China.
Xin LiSchool of Pharmacy, Nanjing Medical University, Nanjing, China.
Feng ChangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.
Haixia DingSchool of Pharmacy, Nanjing Medical University, Nanjing, China.
Yun LuSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China.ORCID https://orcid.org/0000-0002-7928-7176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to gain insight into each attribute as presented in the value of implantable medical devices, quantify attributes' strength and their relative importance, and identify the determinants of stakeholders' preferences.

methodsA mixed-methods design was used to identify attributes and levels reflecting stakeholders' preference toward the value of implantable medical devices. This design combined literature reviewing, expert's consultation, one-on-one interactions with stakeholders, and a pilot testing. Based on the design, six attributes and their levels were settled. Among 144 hypothetical profiles, 30 optimal choice sets were developed, and healthcare professionals (decision-makers, health technology assessment experts, hospital administrators, medical doctors) and patients as stakeholders in China were surveyed. A total of 134 respondents participated in the survey. Results were analyzed by mixed logit model and conditional logit model.

resultsThe results of the mixed logit model showed that all the six attributes had a significant impact on respondents' choices on implantable medical devices. Respondents were willing to pay the highest for medical devices that provided improvements in clinical safety, followed by increased clinical effectiveness, technology for treating severe diseases, improved implement capacity, and innovative technology (without substitutes).

conclusionsThe findings of DCE will improve the current evaluation on the value of implantable medical devices in China and provide decision-makers with the relative importance of the criteria in pricing and reimbursement decision-making of implantable medical devices.

Indexed as

Patient PreferenceProstheses and ImplantsChinaChoice BehaviorHumansSurveys and QuestionnairesTreatment OutcomeChinadiscrete choice experimentimplantable medical devicesmulti-stakeholders’ preference

Identifiers

PMID38221900
PMCPMC10859836

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.