Stigma experienced by Chinese patients with stroke during inpatient rehabilitation and its correlated factors: a cross-sectional study

Zhu, Minfang; Zhou, Hongzhen; Zhang, Wei-Bin; Deng, Yingying; Wang, Xiaoyan; Zhang, Xiaomei; Yang, Liutao; Li, Muling; Bai, Xuejie; Lin, Zhenzhou

doi:10.1080/10749357.2019.1605759

Cited by 13 publications

(10 citation statements)

References 37 publications

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“…The mean and SD of anticipated stigma among chronic illness patients were 1.86 and 0.5, respectively. Our results were almost similar to those found in a study conducted among Chinese stroke patients and lower than those presented in a study of neurological and chronic obstructive pulmonary disease (COPD) patients in the USA [ 29 , 54 ]. The possible justification for the discrepancies might be that our study incorporated patients experiencing all types of chronic illnesses not simply one distinct category and the sample representativeness of the USA study.…”

Section: Discussionsupporting

confidence: 88%

Anticipated stigma and associated factors among chronic illness patients in Amhara Region Referral Hospitals, Ethiopia: A multicenter cross-sectional study

et al. 2022

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Background Anticipated stigma related to chronic illness patients undermines diagnosis, treatment, and successful health outcomes. The study aimed to assess the magnitude and factors associated with anticipated stigma among patients with chronic illness attending follow-up clinics in Amhara Region Referral Hospitals, Ethiopia. Methods A cross-sectional institution-based study was conducted in Amhara Region Referral Hospitals from 01 March to 15 April 2021. A simple random sampling technique was used to select the three Referral Hospitals in the region and study subjects. Data were collected using a pre-tested interview-based questionnaire. Data were entered and cleaned with Epi-Info version 6 and exported for analysis STATA version 14. Multiple linear regression was used to show the association between anticipated stigma and potential factors. Associations were measured using ß coefficients and were considered statistically significant if the p-value > 0.05. Results A total of 779 patients were included for analysis with a response rate of 97%. Their mean (Standard deviation) of anticipated stigma was estimated at 1.86 and 0.5, respectively. After running an assumption test for multiple linear regression; educational status, cigarette smoking, psychological distress, medication adherence, alcohol consumption, and social part of the quality of life were statically significantly associated with anticipated stigma. Conclusion and recommendation The result showed a high level of anticipated stigma reported among the participants. Emphasizing improving their social part of the quality of life, avoiding risky behaviors like alcohol consumption and cigarette smoking, access to health education for chronically ill patients, integrating mental health in all types of chronic disease, and developing strategies and protocols which will help to improve patient medication adherence to their prescribed medication will be crucial. This can provide a foundation for government andnon-governmental organizations, and researchers implementing evidence-based interventions and strategies on chronic care to address factors related to anticipated stigma.

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Section: Discussionsupporting

confidence: 88%

Anticipated stigma and associated factors among chronic illness patients in Amhara Region Referral Hospitals, Ethiopia: A multicenter cross-sectional study

et al. 2022

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“…Two studies were excluded for overlapped data (Deng et al, 2017; Li, 2020). Therefore, 19 studies were included in the meta‐analysis with careful examination of the full texts (Chu, 2017; Deng et al, 2019; Feng, 2019; Gong, 2018; Hu et al, 2021; Huang, 2019; Li, 2020; Liu, 2020; Pang, 2020; Qin et al, 2018; Tang & Xuan, 2019; Tong, 2018; Wan et al, 2019; Wang et al, 2020; Wu, 2019; Xu & Li, 2019; Zha et al, 2020; Zhang et al, 2018; Zhu et al, 2019). The search process was presented in Figure 1.…”

Section: Resultsmentioning

confidence: 99%

Correlates of stigma for poststroke patients: A meta‐analysis

Yang

et al. 2022

Journal of Clinical Nursing

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Aims A meta‐analysis was carried out to review and identify correlates of stigma in poststroke patients. Background Patients suffer from impaired physical functions and sequelae of stroke. Stroke‐related stigma hinders the recovery process and produces poorer clinical outcomes of stroke, leading to compromised quality of life. Design A systematic review and meta‐analysis was reported by following PRISMA 2020 guidelines. Review Methods Nine databases were searched from their inception to May 2021 to identify studies focused on the relationships among demographics, disease‐related factors, psychosocial factors and poststroke stigma. Included studies were assessed by using the Agency for Healthcare Research and Quality (AHRQ) scale. The statistical software R studios were used to perform statistical analysis. Results Nineteen studies were included in the meta‐analysis. Four demographic factors (age, caregiver, residence, monthly income), seven stroke‐related characteristics (type of stroke, mRS, ADLs, stroke duration, recurrence, sequelae, chronic disease comorbidity) and three psychosocial factors (depression, social support, quality of life) showed significant associations with stroke‐related stigma. Conclusions The results of our study can serve as a foundation for designing interventions to reduce stigma and improve the overall quality of life of poststroke patients and may produce positive clinical outcomes. Healthcare professionals should be aware of stroke patients who are characterised by correlates of stigma. Relevance to clinical practice Poststroke patients showed a moderate‐to‐high level of stigma, and this issue warrants more attention. This review provides a preliminary foundation for healthcare professionals to develop interventions to address stroke‐related stigma by focusing on demographic, disease‐related and psychosocial factors. Additionally, stigma identification should be a part of clinical nursing evaluation. The involvement of clinical and community nursing is very important to screen stroke‐related stigma and pay attention to this population.

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“…(2020), which accounted for 11% and 17% of the study population, respectively. In this case, patients may unconsciously perceive themselves as ‘outliers’ due to their impaired physical function, which can lead to increased sensitivity and self‐criticism in social interactions (Zhu, Zhou, Zhang, Deng, Wang, Zhang, et al., 2019). These sociodemographic characteristics serve as useful references for identifying the populations that require nursing intervention.…”

Section: Discussionmentioning

confidence: 99%

“…Although advanced medical technology has improved long‐term survival rates, the ageing populations across the world and increasing life expectancy suggest that the prevalence of stroke will remain high (Baltan et al., 2019). This disease typically causes extensive cerebrovascular deficits, resulting in severe sequelae such as dysphagia, disability, depression and stigma (Olver et al., 2021; Zhu, Zhou, Zhang, Deng, Wang, Zhang, et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

The cognitive appraisal path of stroke knowledge, coping traits, family functioning and stigma among stroke patients: A moderated parallel mediation model

Liu,

et al. 2023

Journal of Clinical Nursing

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AimsTo establish a cognitive appraisal path model that examines the impact of stroke knowledge on stigma with the parallel mediating effects of negative and positive coping traits, as well as the moderating effects of family functioning.BackgroundStroke‐related stigma, a ‘mixture’ of negative emotions involving internal criticism and external judgement, has been shown to impair patients' health outcomes. However, the specific factors underlying cognitive appraisals and their pathways remain unknown.DesignA cross‐sectional design.MethodsThe cross‐sectional sample was from two stroke centres in China. Questionnaires were administered to collect sociodemographic data, stroke knowledge, coping traits, family functioning and stigma. Hierarchical regression models and the moderated parallel mediation model were constructed to analyse influencing pathways. The study adhered to the strengthening the reporting of observational studies in epidemiology guideline.ResultsAll 144 samples reported stigma symptoms with a moderate‐to‐high standardising score. The best hierarchical regression model explains 55.5% of the variance in stigma. The parallel mediation model indicated that negative and positive coping traits co‐mediating the association of stroke knowledge and stigma. After adding the family functioning as a moderator, the moderated parallel mediation model was confirmed with adequate fit indices.ConclusionAmong the cognitive appraisal factors affecting stroke‐related stigma, stroke knowledge reduces stigma by modifying coping traits, while poor family functioning may serve as an opposing moderator. Notably, when family support is insufficient, enhanced stroke knowledge might paradoxically exacerbate the stigma.Relevance to Clinical PracticeThis study contributes knowledge on transforming health education and emphasises the pivotal roles of clinical nursing practitioners. In similar global contexts, the study highlights integrating health education, psychological counselling and family support to advance systematic nursing practices.Patient or Public ContributionNone.

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Stigma experienced by Chinese patients with stroke during inpatient rehabilitation and its correlated factors: a cross-sectional study

Cited by 13 publications

References 37 publications

Anticipated stigma and associated factors among chronic illness patients in Amhara Region Referral Hospitals, Ethiopia: A multicenter cross-sectional study

Anticipated stigma and associated factors among chronic illness patients in Amhara Region Referral Hospitals, Ethiopia: A multicenter cross-sectional study

Correlates of stigma for poststroke patients: A meta‐analysis

The cognitive appraisal path of stroke knowledge, coping traits, family functioning and stigma among stroke patients: A moderated parallel mediation model

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