Evidence map›Paper›PMID 41361406›Full record

ArticleBMC public health2025

Cross-cultural adaptation and validation of the ENRICh scale for Chinese infertile patients: a methodological and cross-sectional study.

Mingzhu Su, Hongbin Cong, Hongwei Nie, Chaofan Li, Yujia Feng, Cai Xu

Abstract readValidation Study
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mingzhu SuSchool of Social Development and Health Management, University of Health and Rehabilitation Sciences, Qingdao, China.
Hongbin CongState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, China.
Hongwei NieState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproductive Medicine, Institute of Women, Children and Reproductive Health, Shandong University, Jinan, China.
Chaofan LiDepartment of Social Medicine and Health Management, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China. lcfan@sdu.edu.cn.ORCID http://orcid.org/0000-0001-6238-1257
Yujia FengDepartment of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, Chapel Hill, NC, USA.
Cai XuDepartment of Social Medicine, Heritage College of Osteopathic Medicine, Ohio University, Athens Campus, Athens, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of Assisted Reproductive Technology (ART) for infertility treatment imposes a substantial financial strain on patients. However, there is a scarcity of research specifically addressing financial toxicity related to ART. This study adapted and validated the Chinese version of the Economic Strain and Resilience in Cancer (ENRICh) scale to assess financial toxicity among infertile couples undergoing ART in China.

methodsA cross-sectional study was conducted among 570 infertile patients from five hospitals in China. Its psychometric properties were assessed using exploratory factor analyses, confirmatory factor analyses, internal consistency reliability, test-retest reliability, and convergent/discriminant validity.

resultsThe scale demonstrated strong psychometric properties, including excellent internal consistency (Cronbach’s α = 0.90; McDonald’s Ω = 0.94) and a good factor structure (Kaiser-Meyer-Olkin = 0.89). The results identified two distinct factors: “financially affected” and “financially coping”. It showed good convergent validity with the COST and medical expenses.

conclusionENRICh promising psychometric properties provide valuable insights for policymakers to address the treatment affordability challenges that may be exacerbated by China’s pronatalist policies.

Indexed as

Cross-Cultural ComparisonFinancial StressInfertilityReproductive Techniques, AssistedAdultChinaCross-Sectional StudiesFemaleHumansMalePsychometricsReproducibility of ResultsSurveys and QuestionnairesAssisted reproductionCross-cultural comparisonFinancial stressInfertilityPsychometric

Identifiers

PMID41361406
PMCPMC12683875

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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.