与血液透析患者污名化相关的因素:一项荟萃分析和系统综述。

IF 1.7 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2024-08-15 eCollection Date: 2024-01-01 DOI:10.62347/SRIC1173
Bangyang Li, Peng Cai, Xue Zhao, Weijuan Li, Juan Yang, Xuefei Xia, Lei Ma
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引用次数: 0

摘要

背景:血液透析(HD)患者经常遭遇污名化,这影响了他们的社交网络和坚持治疗,增加了他们患抑郁症的风险,降低了他们的生活质量。由于证据不足,人们对与血液透析患者污名化相关的因素仍然知之甚少。为了填补这一空白,我们进行了这项荟萃分析:我们在中国国家知识基础设施(CNKI)、万方数据服务平台、PubMed、Embase、PsycINFO、CINAHL(护理及相关健康文献累积索引)和Web of Science等中英文数据库中进行了全面的文献综述。我们收录了截至 2024 年 5 月 25 日的文献,这些文献关注的是与 HD 患者污名化相关的水平和因素。两名研究人员分别对纳入的文献进行了数据提取和质量评估,他们还独立进行了文献筛选。数据分析使用 Stata 15.1 软件进行。通过敏感性分析和亚组分析探讨了异质性的可能来源,并对结果的稳健性进行了评估:共纳入了 12 篇论文,这些论文的质量被评为中等或中等以上。荟萃分析结果表明,汇总的污名化平均得分为 59.30 [95%(置信区间)CI:55.62 至 62.97]。家庭人均月收入[MD(平均偏差)=4.95,95% CI(1.55 至 8.35),P=0.004]、居住地[MD=-4.66,95% CI(-6.96 至 -2.36),PMD=4.76,95% CI(0.92 至 8.61),P=0.015]、家庭功能[Z=-0.29,95% CI(-0.38~-0.21),PZ=-0.37,95% CI(-0.48~-0.26),PZ=-0.35,95% CI(-0.45~-0.25),PZ=0.59,95% CI(0.26~0.91),PC结论:医护人员应重视早期评估血液透析患者的耻辱感,针对相关因素实施个性化干预,并推广有效的疾病管理应对策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors associated with stigma in patients undergoing hemodialysis: a meta-analysis and systematic review.

Background: Patients with hemodialysis (HD) frequently encounter stigma, which impacts their social network and adherence to treatment, increasing their risk of depression and lowering their quality of life. The factors associated with stigma among patients with HD remain poorly understood due to insufficient evidence. To fill this gap, this meta-analysis was conducted.

Methods: We carried out a thorough literature review in both Chinese and English databases like China National Knowledge Infrastructure (CNKI), Wan Fang Knowledge Data Service Platform, PubMed, Embase, PsycINFO, CINAHL (Cumulative Index to Nursing and Allied Health Literature) and Web of Science. We included literature up to May 25, 2024, focusing on the levels and factors related to stigma in HD patients. Data extraction and quality assessment of the included literature were separately carried out by two researchers, who also independently did the literature screening. Data analysis was carried out using Stata 15.1 software. The possible sources of heterogeneity were explored by sensitivity analysis and subgroup analysis, and the robustness of the results was evaluated.

Results: A total of 12 papers were included, and the quality of these papers was evaluated as moderate or above. The findings of the meta-analysis demonstrated that the pooled stigma mean score was 59.30 [95% (Confidence interval) CI: 55.62 to 62.97]. Per capita monthly family income [MD (Mean Deviation) =4.95, 95% CI (1.55 to 8.35), P=0.004], residence [MD=-4.66, 95% CI (-6.96 to -2.36), P<0.001], complications [MD=4.76, 95% CI (0.92 to 8.61), P=0.015], family function [Z=-0.29, 95% CI (-0.38 to -0.21), P<0.001], self-efficacy [Z=-0.37, 95% CI (-0.48 to -0.26), P<0.001], levels of social support [Z=-0.35, 95% CI (-0.45 to -0.25), P<0.001], and levels of psychological distress [Z=0.59, 95% CI (0.26 to 0.91), P<0.001] were all significant factors contributing to stigma in patients undergoing HD.

Conclusion: Healthcare professionals should pay attention to the early assessment of stigma in patients with HD, implement personalized interventions targeting related factors, and promote effective coping strategies for managing the disease.

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American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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