Evidence map›Paper›PMID 39420277›Full record

ArticleBMC nephrology2024

Structural equation modeling analysis of factors influencing decisional conflict between dialysis modality among end-stage kidney disease patients in Wuhan.

Shiyi Zhang, Jinrui Cui, Xiaoqin Liu, Xifei He, Yulin Xu

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Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shiyi Zhang *Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, Hubei Province, China.
Jinrui CuiNursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, Hubei Province, China. 1170258527@qq.com.
Xiaoqin LiuNursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, Hubei Province, China.
Xifei HeNursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, Hubei Province, China.
Yulin XuNursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, Hubei Province, China.

Funding

Tongji Hospital, Tongji Medical College,Huazhong University of Science and Technology 2023D42
6 · The paper itself

Abstract

objectivesTo explore the influencing factors and relationships associated with decisional conflict of dialysis modality in End-stage kidney disease (ESKD) patients.

methodsThis study was a survey-based cross-sectional investigation conducted on 150 ESKD patients in a third-class hospital in Wuhan. The general information questionnaire, decisional conflict scale, Montreal cognitive assessment, frail scale, perceived social support scale, and brief health literacy screen were used for investigation. SPSS 25.0 was used to compare the differences between the decisional and non-decisional conflict groups, and AMOS 23.0 was used to construct a structural equation model to explore the influencing factors.

resultsThe incidence of decisional conflict in 150 ESKD patients was 33.3% (50/150). Binary logistic regression analysis showed that the independent risk factors for decisional conflict of dialysis modality in ESKD patients included monthly household income (OR = 0.184), cognitive function (OR = 7.0), social support (OR = 0.891), health literacy (OR = 0.608), the level of eGFR (OR = 1.488), and the level of cTnI (OR = 9.558). The constructed path analysis model had a good fit (x2/df = 1.499, GFI = 0.957, AGFI = 0.911, NFI = 0.906, CFI = 0.967, RMSEA = 0.055). The path analysis showed that health literacy (0.577) had the greatest impact on the decisional conflict, with a direct effect of 0.480 and an indirect effect of 0.097 through cognitive function and monthly household income. Next was social support, with an effect value of 0.434.

conclusionsIn clinical practice, it is important to enhance the health literacy of patients and their families and to provide advanced education on dialysis plans. Additionally, in managing and planning chronic kidney disease progression and dialysis, it is recommended to regularly and systematically assess cognitive function, particularly before the patient's cognitive impairment worsens or the severity of the disease progresses. Advanced care planning can be established through collaboration between healthcare professionals and patients to ensure appropriate decision-making and management. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: This paper finds that the factors that influence and relate to dialysis methods in end-stage renal disease patients help nurses exercise autonomy better, assist patients in reducing their decisional conflict, and improve clinical outcomes. PATIENT OR PUBLIC CONTRIBUTION: Patients received a relevant questionnaire survey, and caregivers assisted in conducting the study.

Indexed as

Conflict, PsychologicalHealth LiteracyKidney Failure, ChronicRenal DialysisSocial SupportAdultAgedChinaCross-Sectional StudiesDecision MakingFemaleGlomerular Filtration RateHumansLatent Class AnalysisMaleMiddle AgedDecisional conflictDialysis modalityEnd-stage kidney diseaseInfluencing factorsNursingPath analysis

Identifiers

PMID39420277
PMCPMC11487755

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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.