Evidence map›Paper›PMID 39900416›Full record

ArticleBMJ open2025

Assessment of patient preferences for assisted reproductive technology in China: a discrete choice experiment.

Jiali Chen, Yuwen Bao, Yanyan Liu, Yanjun Sun, Xiaodan Qian, Kexing Fang, Bin Wan, Haixia Ding, Lingli Zhang, Xin Li

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

10 authors.

Jiali ChenDepartment of Health Policy, Nanjing Medical University, Nanjing, Jiangsu, China.
Yuwen BaoDepartment of Health Policy, Nanjing Medical University, Nanjing, Jiangsu, China.
Yanyan LiuDepartment of Health Policy, Nanjing Medical University, Nanjing, Jiangsu, China.
Yanjun SunInstitute of Medical Humanities, Nanjing Medical University, Nanjing, China.
Xiaodan QianDepartment of Pharmacy, The Second People's Hospital of Changzhou, the Third Affiliated Hospital of Nanjing Medical University, Changzhou, Jiangsu, China.
Kexing FangDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.
Bin WanDepartment of Health Insurance Management, The First Affiliated Hospital With Nanjing Medical University, Nanjing, Jiangsu, China.
Haixia DingSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Lingli ZhangSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China xinli@njmu.edu.cn zll1988117@163.com.
Xin LiDepartment of Health Policy, Nanjing Medical University, Nanjing, Jiangsu, China xinli@njmu.edu.cn zll1988117@163.com.ORCID http://orcid.org/0000-0003-3951-8061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGiven China's low fertility rate, assisted reproductive technology (ART) can be used assist infertile patients in having children. This study aimed to analyse patients' preferences for ART and to determine the relative importance (RI) and willingness to pay (WTP) of key attributes.

designWe identified six attributes of ART and used a D-efficient design to generate choice sets for conducting a discrete choice experiment. Patients were asked to choose between two scenarios that differed in participation in treatment decision-making (TDM), clinical pregnancy rate, live birth rate, risk of maternal and neonatal complications, and out-of-pocket cost.

settingJiangsu province, China. The anonymous survey was carried out between December 2022 and February 2023.

participantsFemale patients aged 20-45 years, with low fertility or experience of ART treatment. We recruited 465 participants. OUTCOMES MEASURES: Patient-reported preferences for each attribute were estimated using a mixed logit model. The latent class model was also used to investigate preference heterogeneity.

resultsAll attributes were associated with patient preferences. Patients considered the live birth rate as the most important attribute (RI=29.05%), followed by participation in TDM (RI=21.91%). The latent class model revealed two distinct classes named 'outcome driven' and 'cost driven'. Preferences varied according to their age, monthly household income and location.

conclusionsThis study investigated the preferences of infertile patients when seeking medical assistance for infertility. The study outcomes can contribute to evidence-based counselling and shared decision-making and provide an empirical basis for creating and implementing future policies.

Indexed as

Choice BehaviorPatient PreferenceReproductive Techniques, AssistedAdultChinaDecision MakingFemaleHumansMiddle AgedPregnancyPregnancy RateSurveys and QuestionnairesYoung AdultHealth ServicesPatient ParticipationPatient Preference

Identifiers

PMID39900416
PMCPMC11800194

What OpenQuestion holds

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Registered trials

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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.