Learned Helplessness in Renal Dialysis Patients: Concept Analysis with an Evolutionary Approach

Xie, Chunyan; Li, Li; Li, Yamin

doi:10.2147/ppa.s373134

Cited by 6 publications

(5 citation statements)

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“… 8 Most MHD patients have been reported to experience persistent learned helplessness (LH). 9 , 10 The concept of LH originates from psychology. According to Seligman, LH refers to the powerless, hopeless psychological state that occurs when an individual experiences an uncontrollable outcome.…”

Section: Introductionmentioning

confidence: 99%

“Alive Day is the Day”: A Qualitative Study of Experiences of Learned Helplessness in Maintenance Haemodialysis Patients

Xie¹,

Li²,

Li³

2023

RMHP

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Background Learned helplessness (LH) is a common psychological phenomenon among chronic disease patients. However, LH remains underrecognized in the context of maintenance haemodialysis (MHD) patients. This qualitative study is the first study of this topic to be conducted in a Chinese cultural context, and its purpose is to explore the LH experiences of MHD patients and to highlight their interpretations of LH. Methods We employed a qualitative research design. A purposive sampling method was used to recruit participants. The sample size was determined by data saturation. Data were obtained from MHD patients in a blood purification centre located in Hunan Province, China. Data were collected from June to September 2022. The researchers conducted in-depth, semistructured interviews with participants after obtaining informed consent. Texts were transcribed verbatim from the audio recordings of these interviews. Data processing and analysis were based on Giorgi’s phenomenological approach. Results Twenty-two respondents completed the interviews (aged 29–75 years, including ten females and twelve males). Four themes emerged from the interviews: (1) triggers of helplessness (hope is gone; witnessing renal friends’ helplessness; out of control; nothing works); (2) being tied down (limitation; perceived loss; social isolation; giving in); (3) I am just a loser (self-image disorder; low self-concept; negative attitudes; guilt; abandonment); (4) alive day is the day (fatalism; my duty; downwards comparison). Conclusion The study reveals that multiple stressors drive MHD patients’ LH. These salient phenomena demonstrate the importance of recognizing MHD patients’ LH. We suggest that support services should be developed alongside a framework that addresses MHD patients’ LH from the beginning of treatment.

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Section: Introductionmentioning

confidence: 99%

“Alive Day is the Day”: A Qualitative Study of Experiences of Learned Helplessness in Maintenance Haemodialysis Patients

Xie¹,

Li²,

Li³

2023

RMHP

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“…VT encourages proactive patient attitudes that facilitate improved interaction with clinicians and can reduce risk of learned helplessness negatively impacting treatment outcomes. 22 …”

Section: Resultsmentioning

confidence: 99%

The Role of Virtual Triage in Improving Clinician Experience and Satisfaction: A Narrative Review

Gellert,

Rasławska-Socha,

Marcjasz

et al. 2023

Telemedicine Reports

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Objective: This review examines the literature on improving clinician satisfaction with a focus on what has been most effective in improving experience from the perspective of clinicians, and the potential role that virtual triage (VT) technology can play in delivering positive clinician experiences that improve clinical care, and bring value to health care delivery organizations (HDOs). Methods: Review and synthesis of evidence on clinician satisfaction indicating a potential for VT to favorably impact clinician experience, sense of effectiveness, efficiency, and reduction of administrative task burden. Analysis considers how to conceptualize and the value of improving clinician experience, leading clinician dissatisfiers, and the potential role of VT in improving clinician experience/satisfaction. Results: Contributors to poor clinician experience/satisfaction where VT could have a beneficial impact include better managing resource limitations, administrative workload, lack of care coordination, information overload, and payer interactions. VT can improve clinician experience through the technology's ability to leverage real-time actionable data clinicians can use, streamlining patient–clinician communications, personalizing care delivery, optimizing care coordination, and better aligning digital/virtual services with clinical practice. From an organizational perspective, improvements in clinician experience and satisfaction derive from establishing an effective digital back door, increasing the clinical impact of and satisfaction derived from telemedicine and virtual care, and enhancing clinician centricity. Conclusions: By embracing digital transformation and implementing solutions such as VT that focus on improving patient and clinician experience, HDOs can address barriers to delivery of high-quality, efficient, and cost-effective care. VT is a digital health tool that can create a more streamlined and satisfying experience for clinicians and the patients they care for. VT is a technology solution that can help clinicians make faster more informed decisions, reduces avoidable care, improves communication with patients and within care teams, and lowers their administrative burden so they have more quality time to care for patients.

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“…38 At this point, helpless patients lack self-confidence, passivity, and self-abandonment in health-related behaviours and develop low motivation and self-efficacy when faced with disease management. 39 Helplessness can negatively affect the individual’s self-management and complicate their health interventions. 38 MHD patients who fall into persistent helplessness may believe that no one or treatment can change the outcome of their kidney failure.…”

Section: Discussionmentioning

confidence: 99%

Trajectories of Learned Helplessness in Maintenance Haemodialysis Patients and Their Predictive Effects on Self-Management: A Latent Growth Mixture Modeling Approach

Xie¹,

Li²,

Li³

2023

PRBM

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Background Learned helplessness (LH) is an essential psychological factor influencing maintenance haemodialysis (MHD) patients’ health behaviour and is closely related to prognosis of the disease. This study aimed to identify potential trajectories of LH in MHD patients and assess their predictive role in self-management. Methods This study was conducted in strict compliance with national laws, the Declaration of Istanbul, and the Declaration of Helsinki. A total of 347 MHD patients at a blood purification centre in Hunan Province, China, were selected as the study population. Four longitudinal surveys (baseline and second/fourth/sixth month after baseline) were conducted using the General Information Questionnaire for MHD patients, the Chinese version of the Learned Helplessness Scale for MHD patients, and the Self-Management Scale for Haemodialysis. Latent growth mixture model (LGMM) analysis was used to identify LH trajectories, and their predictors were analysed using multinomial logistic regression. The predictive role of LH trajectory on self-management was analysed using linear regression. Results This study identified three LH trajectories in MHD patients, named the “high-decreasing group” (57.9%), “low-increasing group” (21.3%), and “low-stability group” (20.7%). The results of the univariate analysis showed that sex (χ 2 =33.777, P < 0.001), age (χ 2 =10.605, P <0.05), and subjective social status (SSS) (χ 2 =12.43, P <0.01) were associated with LH trajectory classes. Multinomial logistic regression further demonstrated that gender, age, and SSS were predictors of different LH trajectories. The intercept and slope of the overall LH trajectory were negatively correlated with self-management (β=−0.273, P <0.001; β=−0.234, P <0.01). Conclusion MHD patients show three different LH trajectories. The initial level and developmental rate of LH can negatively predict future self-management. It is necessary to screen MHD patients’ LH and develop targeted interventions for them with different LH trajectories at specific stages.

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Learned Helplessness in Renal Dialysis Patients: Concept Analysis with an Evolutionary Approach

Cited by 6 publications

References 50 publications

“Alive Day is the Day”: A Qualitative Study of Experiences of Learned Helplessness in Maintenance Haemodialysis Patients

“Alive Day is the Day”: A Qualitative Study of Experiences of Learned Helplessness in Maintenance Haemodialysis Patients

The Role of Virtual Triage in Improving Clinician Experience and Satisfaction: A Narrative Review

Trajectories of Learned Helplessness in Maintenance Haemodialysis Patients and Their Predictive Effects on Self-Management: A Latent Growth Mixture Modeling Approach

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