Evidence map›Paper›PMID 42732318›Full record

ArticlePatient preference and adherence2026

Decision Fatigue and Associated Factors Among Patients with Hematologic Malignancies: Implications for Patient-Centered Decision Support.

Haiyan Hu, Min Wang, Xiaocui Wang, Luojin Zhang, Xiaomei Han, Jingfang Hong

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Article in Patient preference and adherence, 2026. 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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5 · Who and what money

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6 authors.

Haiyan HuSchool of Nursing, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.
Min WangDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Xiaocui WangDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Luojin ZhangDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Xiaomei HanDepartment of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Jingfang HongSchool of Nursing, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with hematologic malignancies frequently face complex, repeated treatment decisions that may increase decision fatigue (DF) risk. However, evidence on DF and its correlates in this population remains scarce. This study aimed to investigate the level of DF and identify associated factors among patients with hematologic malignancies. Methods: A cross-sectional study was conducted with 322 patients receiving treatment at a tertiary hospital in Anhui, China, between October 2024 and May 2025. Participants completed validated scales assessing DF, decision preparation, decision self-efficacy, anxiety, depression, and sleep quality. Independent-samples t-tests, one-way analysis of variance (ANOVA), Pearson correlation analysis, and multiple linear regression were performed to identify factors associated with DF. Results: The mean DF score was 13.30 ± 5.02, which was close to the midpoint of the 0-27 Decision Fatigue Scale. DF was negatively correlated with decision preparation and decision self-efficacy (both Conclusion: Patients with hematologic malignancies exhibit decision fatigue levels near the scale midpoint, which are associated with multiple psychological and contextual factors. These findings can inform the development of patient-centered decision support strategies, though longitudinal and interventional studies are needed to confirm causal pathways and intervention efficacy.

Indexed as

associated factorsdecision fatiguedecision self-efficacyhematologic malignanciespreparation for decision-making

Identifiers

PMID42732318
PMCPMC13570657

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