BPG is committed to discovery and dissemination of knowledge
Retrospective Study Open Access
Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Psychiatry. Sep 19, 2026; 16(9): 119511
Published online Sep 19, 2026. doi: 10.5498/wjp.119511
Impact of narrative support on stigma, anxiety, and depression in young and middle-aged patients undergoing maintenance hemodialysis
Wen-Li Xu, Yue Wang, Xing-Ju Yang, Department of Nursing, People’s Hospital Affiliated to Shandong First Medical University, Jinan 271100, Shandong Province, China
Lin Zhu, Xin Zhang, Yong-Shun Tan, Hemodialysis Room, People’s Hospital Affiliated to Shandong First Medical University, Jinan 271100, Shandong Province, China
Pei-Pei Peng, Department of Psychiatry, Laiwu Central Hospital of Shandong Yiyang Health Group, Jinan 250013, Shandong Province, China
ORCID number: Wen-Li Xu (0009-0001-6261-4687); Yue Wang (0009-0002-3421-2178); Lin Zhu (0009-0008-9034-5761); Xin Zhang (0009-0002-6763-334X); Yong-Shun Tan (0009-0003-7297-3901); Pei-Pei Peng (0009-0009-1337-1920); Xing-Ju Yang (0009-0008-5944-1667).
Author contributions: Xu WL was responsible for writing the paper; Wang Y was responsible for analyzing the statistical data; Zhu L and Zhang X collected materials; Tan YS and Peng PP were responsible for providing clinical advice; Yang XJ was responsible for researching, designing, and developing the intervention plans; and all the authors have approved the manuscript.
Supported by Jinan Municipal Health Commission’s 2024 Science and Technology Development Plan Development Project, No. 2024305010.
Institutional review board statement: This study was approved by the Medical Ethics Committee of the Jinan City People’s Hospital, approval No. 2024yxkt-6.
Informed consent statement: The informed consent was waived by the Institutional Review Board.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The data used in this study can be obtained from the corresponding author upon request.
Corresponding author: Xing-Ju Yang, Chief Nurse, Department of Nursing, People’s Hospital Affiliated to Shandong First Medical University, No. 001 Xuehu Street, Laiwu District, Jinan 271100, Shandong Province, China. doc_yangxingjv@163.com
Received: March 25, 2026
Revised: April 28, 2026
Accepted: June 3, 2026
Published online: September 19, 2026
Processing time: 151 Days and 20.4 Hours

Abstract
BACKGROUND

End-stage renal disease requires maintenance hemodialysis (MHD), which imposes a huge psychological and social burden on young and middle-aged patients. This group often needs to balance professional and social roles, and is therefore highly vulnerable to stigma, anxiety and depression. These conditions can severely undermine treatment adherence and the quality of life. Although narrative support has shown benefits in other chronic illnesses, its structured application in young and middle-aged MHD populations remains underexplored.

AIM

To assess the effects of narrative support on stigma, adherence, sleep, and quality of life in patients undergoing MHD.

METHODS

This retrospective study included 158 patients who received MHD treatment. The control group (n = 73) received standard treatment, while the observation group (n = 85) received additional narrative support. The Social Impact Scale (SIS), Self-rating Anxiety Scale, Pittsburgh Sleep Quality Index, Self-rating Depression Scale, short form-36 health survey health questionnaire and end-stage renal disease compliance questionnaire were used to evaluate before and after intervention.

RESULTS

Compared to the control group, patients receiving narrative support showed a significantly greater reduction in perceived stigma, anxiety, and depression. In addition, the intervention group performed better in treatment compliance and sleep quality, and scored significantly higher in all eight dimensions of the short form-36 health survey scale, indicating that their physical and mental health had improved. After applying Bonferroni correction, all significant differences remained robust.

CONCLUSION

Narrative support can help to reduce the psychological burden of young and middle-aged patients undergoing hemodialysis, improve treatment compliance, and improve their quality of life.

Key Words: Narrative support; Middle-aged and young adults; Maintenance hemodialysis; Stigma associated with illness; Anxiety; Depression

Core Tip: Structured narrative support significantly reduces stigma, anxiety, and depression in young and middle-aged hemodialysis patients. It also improves treatment adherence, sleep quality, and health-related quality of life. This patient-centered approach helps patients reframe their illness experiences through guided storytelling, offering an effective strategy to address the psychosocial challenges of long-term dialysis. Narrative support is a valuable complement to the standard clinical care.



INTRODUCTION

Maintenance hemodialysis (MHD) is the main renal replacement therapy for patients with end-stage renal disease (ESRD), which can significantly improve the survival rate. However, it brings huge physical and psychological burden to patients[1]. With the increasing prevalence of chronic kidney disease in the world, the demand for dialysis continues to grow. By 2021, the number of people receiving dialysis treatment worldwide has exceeded 3.8 million, with hemodialysis accounting for more than 70% of all treatment methods[2]. It is predicted that the global number of dialysis patients may exceed 5.4 million by 2030, and the proportion of young patients will continue to rise[3]. Young and middle-aged individuals undergoing MHD often face unique challenges as they are in life stages that are heavily defined by occupational, familial, and social responsibilities. The long-term nature of dialysis treatment can lead to physical fatigue, work obstruction, family role imbalance and social function decline, all of which can aggravate psychological stress[4]. This group is particularly vulnerable to negative emotions such as stigma, anxiety and depression, which may weaken their treatment compliance and reduce their overall quality of life[5].

Although previous studies have focused on symptom management and overall quality of life in dialysis populations, systematic studies on the specific psychosocial adaptation problems and targeted interventions for young patients undergoing MHD are significantly scarce[6]. In this study, we aim to address this research gap by specifically examining the effectiveness of structured narrative support interventions for this underserved population. Research indicates that there is a significant association between psychological distress and poor treatment adherence, an increased risk of complications, and higher mortality rates among patients with mental health conditions[7]. Additionally, stigma is a significant psychosocial factor, reinforcing self-stigmatization and social withdrawal, potentially weakening a patient’s motivation and engagement with treatment[8]. As a patient-centered psychosocial intervention model, narrative support has received increasing attention in the field of chronic disease care. By promoting empathetic dialogue and structured narrative reconstruction, patients can reinterpret their own disease experience, enhance self-identity, alleviate emotional distress, and improve treatment compliance[9]. Studies have reported beneficial outcomes of narrative support in patients with cancer, diabetes, and chronic heart failure[10-12]. However, the application of this method in young and middle-aged patients undergoing MHD treatment has not been fully studied; most of the existing literature focuses on elderly patients, while the data on the individualized psychosocial needs of young people are limited[13].

In view of the significant stigma and emotional burden of young and middle-aged patients undergoing MHD, this study aimed to assess the impact of narrative support on multiple psychosocial outcomes. This study focuses on a structured, phased narrative intervention tailored to the specific psychosocial challenges of young and middle-aged dialysis patients. This field has rarely been studied before, so it has contributed to the relevant literature. We hypothesized that the intervention would reduce illness-related stigma, alleviate anxiety and depression, and improve treatment adherence and quality of life. We expect that by fostering a more integrated and meaningful understanding of illness through a guided narrative, patients will experience better engagement in care. By using the mechanism of empathy listening and meaning construction, the intervention aims to provide this group with a tailored and clinically significant psychological support strategy.

MATERIALS AND METHODS
Patients and setting

In this retrospective study, we analyzed the data of 158 young and middle-aged patients who underwent MHD at the Jinan City People’s Hospital between January 2022 and January 2024. Because this study is a retrospective study, patients were not randomly divided. The control group (n = 73) consisted of patients who received early standard dialysis treatment, while the observation group (n = 85) consisted of patients who subsequently received systematic narrative support. Data collection and result analysis were performed by different personnel to minimize potential evaluator bias. The study was approved by the Ethics Committee of the Jinan City People’s Hospital (No. 2024yxkt-6), which waived the requirement for written informed consent.

The inclusion criteria: (1) Age between 18 years and 60 years; (2) Receiving regular MHD treatment for at least one year; and (3) Intact cognitive function and normal communication ability.

The exclusion criteria: (1) Diagnosis of severe psychiatric or neurological disorders; (2) Concurrent malignancies, acute infections, or sequelae of major cardiovascular or cerebrovascular events; and (3) Significant cardiac or hepatic dysfunction.

According to the preliminary data and clinical experience, and based on conventional effect size estimates in similar psychosocial interventions, it was estimated that at least 60 participants per group would be required to detect significant differences in primary psychosocial outcomes (such as stigma, anxiety, and depression scores) between the two groups under a significance level of α = 0.05 and a statistical power of 1-β = 0.80. In order to improve the robustness and universality of the research results, it was finally determined that at least 70 participants were needed in each group. In the final sample, the control group included 73 patients and the intervention group included 85 patients. Both groups exceeded the minimum requirements.

Methods

Patients in the control group received standard hemodialysis care, including monitoring of vital signs during dialysis, prevention of dialysis-related complications, health education, and dietary and medication guidance. On the basis of routine care, the observation group also received structured narrative support.

Formation of a narrative support team

A multidisciplinary nursing support team has been set up, consisting of a nurse-in-charge, six registered nurses, a psychological consultant and a nephrologist. The team is led by a head nurse who is responsible for coordinating work and quality assurance. All team members received unified pre-intervention training, covering key topics such as narrative nursing concepts, open questions, emotional recognition, non-critical responses, and empathy listening skills. The training emphasized the specific psychosocial challenges faced by young and middle-aged patients undergoing MHD, including occupational disruption, family role strain, and identity shifts, to improve the nurses’ capacity to provide individualized and emotionally attuned interventions.

Development of the narrative support protocol

Based on literature review and preliminary interviews, an intervention program was developed to clarify the objectives, content, frequency, and evaluation framework. This approach emphasises a patient-centred narrative process, aiming to explore an individual’s subjective experience of illness, emotional coping strategies and life transitions. The study employed a structured framework incorporating strategies such as “participation, guidance, emotional expression, deconstruction and reconstruction” to facilitate emotional release, cognitive restructuring and identity reconstruction, with the ultimate aim of alleviating the stigma and negative emotions experienced by patients receiving inpatient psychiatric care. Narrative support interventions are tailored specifically for young and middle-aged patients, focusing on common sources of stress in this age group, such as job disruption, parenting challenges, social role stress, and concerns about stigma and loss of identity. These factors provide a basis for the content and implementation of intervention measures.

Implementation of the narrative intervention

The 12-week intervention program consisted of one-on-one interviews (30 minutes to 45 minutes each time) by designated nurses once a week before or during dialysis to maintain continuity and enhance doctor-patient trust. The intervention program includes the following four stages.

Trust building and initial listening (weeks 1 and 2): Nurses established a rapport with patients through non-judgmental and empathetic communication, and encouraged patients to talk about their initial reactions to dialysis, lifestyle changes, and perceptions of social stigma. By proposing “How do you feel at the first dialysis?” Open questions, such as guiding patients to talk about their own dialysis process, focusing on changes in life roles, such as unemployment or changes in family relationships, thus creating a psychologically safe expression space.

Deep narrative and identity reconstruction (weeks 3-8): Nurses guide patients in exploring topics such as “What is my life like now?” and “How do others perceive me?” in order to identify internalised stigma or negative self-label. By listening to feedback and advantage-based responses, nurses help patients confront hidden emotions (such as shame and helplessness) and reshape their dialysis identity with positive life experiences (such as caring for others and continuing employment), thereby reinforcing personal values and resisting social stigma.

Emotional support and resource integration (weeks 9 and 10): During this phase, the focus is on recurring feelings of anxiety and depression through cognitive restructuring. Nurses will ask targeted questions, such as: “Does your sense of frustration stem more from the illness itself, or from the disruption to your daily life?”, to help patients better understand the triggers of their emotions. In addition, external resources such as counselling services, peer support groups and vocational rehabilitation are provided to strengthen patients’ psychosocial support networks.

Reflection and future orientation (weeks 11 and 12): In the final stage, patients reviewed the emotional and cognitive changes experienced throughout the intervention. They are encouraged to write to their “future selves”, or set short-term goals, to establish new perceptions of disease, build resilience, and reinforce their sense of meaning and control in life.

Quality control procedures

In order to ensure the consistency of intervention among different nurses, the team leader and the psychological counselor used the standardized compliance checklist to conduct a random sampling review of 20% of the conversation recordings. Any deviation from the plan is discussed and corrected at a biweekly supervision meeting. All interviews were documented by the nursing staff to record key content, and when necessary, technical guidance was provided by a psychological counsellor to help optimize communication skills and interview strategies. To ensure adherence to the intervention protocol, the team leader regularly conducted spot checks of the interview records based on a standardized checklist. At the same time, team leaders and psychological counselors jointly supervise the consistency of interventions to ensure that different service providers follow a standardized process.

Baseline data collection

Before the intervention, the researchers used standardized questionnaires to collect demographic and socio-economic data of patients, including gender, age, family per capita monthly income, body mass index, education level, employment status, marital status, and payment methods. Clinical information such as primary disease and dialysis vintage was also recorded. Laboratory data, including the levels of hemoglobin, serum albumin, serum calcium, and serum phosphorus, as well as the urea reduction ratio and urea clearance index, were extracted from the hospital’s electronic medical records.

Observation indicators

Key psychosocial and clinical indicators were assessed before and after the 12-week treatment in both groups.

Stigma: Stigma was evaluated using the Social Impact Scale, a 24-item instrument developed by Wu et al[14]. These items are classified into four different dimensions: Internalized shame, economic insecurity, social exclusion and social isolation. Answers were recorded using a 4-point Likert scale of 1 point to 4 points. The total score ranged from 24 points to 96 points. The higher the score, the higher the degree of stigmatization perceived by individuals[14]. In an initial validation study, the scale demonstrated excellent internal consistency with a Cronbach’s alpha of 0.96[15]. In our study, Cronbach’s alpha was 0.89, which also reflects good reliability and supports the instrument’s internal consistency within our sample.

Negative emotional state: The degree of anxiety was measured by Self-rating Anxiety Scale (SAS) and converted to a standard score of 100 points. Score ≥ 70 indicates severe anxiety, 60-69 indicates moderate anxiety, and 50-59 indicates mild anxiety[16]. The degree of depression was assessed using the Self-rating Depression Scale (SDS), which consisted of 20 items. The scores were divided into three categories: Mild (53-62), moderate (63-72) and severe (≥ 73)[17]. In the original studies, Cronbach’s alpha for the SAS and SDS was 0.75 and 0.78, respectively[18]. In the current study, these values were 0.73 and 0.76, respectively, suggesting that both scales demonstrated good internal consistency.

Treatment adherence: In this study, the ESRD compliance questionnaire (ESRD-AQ) was used to assess the compliance of patients receiving MHD in multiple treatment areas. The scale consisted of 46 items: 5 demographic questions and 4 compliance subscales: Drug compliance (9 items), treatment compliance (14 items), fluid intake restriction (10 items) and dietary advice (8 items). A mix of Likert scales, multiple-choice items, and dichotomous items were used. The total scores ranged from 0 to 1200: < 700 indicated poor adherence, 700-999 indicated moderate adherence, and 1000-1200 good adherence[19]. The original study reported a Cronbach’s α of 0.83 for the ESRD-AQ[20]. In our sample, the reliability coefficient was 0.85, indicating good internal consistency.

Sleep quality: The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. This scale consists of seven dimensions: Latency to fall asleep, habitual sleep efficiency, subjective sleep quality, sleep duration, use of sleeping pills, sleep disorders, and daytime dysfunction. The score of each sub-item ranged from 0 points to 3 points, and the total score ranged from 0 points to 21 points. A total score of ≥ 7 points indicates poor sleep quality[21]. The Cronbach’s α coefficient of PSQI in the original validation study was 0.83[22], which was 0.86 in this study, indicating that its reliability was acceptable.

Quality of life: Quality of life was assessed using the short form-36 health survey (SF-36), covering eight domains: Role-emotional, role-physical, vitality, bodily pain, general health, social functioning, physical functioning, and mental health. Each domain was scored from 0 to 100, with higher scores indicating a better state. These scores contributed to the Mental Component Summary and Physical Component Summary[23]. The original study reported a Cronbach’s α of 0.78 for the SF-36[24]. In our sample, Cronbach’s alpha was 0.74.

Statistical analysis

Statistical analyses were performed using IBM SPSS Statistics for Windows, version 22.0 (IBM Corp., Armonk, NY, United States). The Kolmogorov-Smirnov test was used to assess the normality of the data distribution. For continuous data that follow a normal distribution, the results are presented as mean ± SD and were compared using the independent-samples t-test or paired t-test; for continuous data that do not follow a normal distribution, results are presented as median (interquartile range) and were compared using the Mann-Whitney U test or Wilcoxon signed-rank test. Categorical variables are expressed as proportions and were compared using the χ2 test. Bonferroni correction was applied for multiple comparisons to adjust the significance level. Statistical significance was set at P < 0.01 (adjusted for multiple testing).

RESULTS
Clinical characteristics of patients undergoing MHD

As shown in Table 1, no statistically significant differences were observed between the two groups in terms of the baseline characteristics, including age, sex, body mass index, dialysis duration, employment status, household income, payment type, marital status, education level, or primary disease (P > 0.05). Similarly, no significant intergroup differences were observed in key laboratory parameters, such as the levels of hemoglobin, serum albumin, serum calcium, serum phosphorus, urea clearance index, or urea reduction ratio (P > 0.05), indicating good baseline comparability.

Table 1 Clinical characteristics of patients undergoing maintenance hemodialysis, n (%)/mean ± SD.
Characteristics
Observation group (n = 85)
Control group (n = 73)
P value
Age45.20 ± 6.5443.41 ± 7.260.105
Sex0.492
Male49 (57.65)46 (63.01)
Female36 (42.35)27 (36.99)
BMI (kg/m2)21.40 ± 3.3721.15 ± 2.940.636
Dialysis vintage0.563
1-3 years47 (55.29)36 (49.32)
> 3 years38 (44.71)37 (50.68)
Employment status0.941
Employed43 (50.59)35 (47.95)
Unemployed27 (31.76)24 (32.88)
Retired15 (17.65)14 (19.18)
Marital status0.500
Married70 (82.35)57 (78.08)
Single15 (17.65)16 (21.92)
Education level0.643
Junior high school and below33 (38.82)29 (39.73)
High school or junior college42 (49.41)32 (43.84)
College and above10 (11.76)12 (16.44)
Per capita monthly household income (RMB)0.436
≤ 300046 (54.12)44 (60.27)
> 300039 (45.88)29 (39.73)
Form of payment1.0001
Self-financed2 (2.35)2 (2.74)
Medical insurance83 (97.65)71 (97.26)
Primary disease0.911
Diabetes30 (35.29)24 (32.88)
Hypertension18 (21.18)18 (24.66)
Chronic glomerulonephritis25 (29.41)18 (24.66)
Polycystic kidney disease7 (8.24)7 (9.59)
Others5 (5.88)6 (8.22)
Hb (g/L)113.73 ± 12.59111.16 ± 12.130.193
Serum albumin (g/L)40.05 ± 4.4239.06 ± 3.110.111
Serum calcium (mmol/L)2.40 ± 0.482.51 ± 0.380.117
Serum phosphorus (mmol/L)1.90 ± 0.421.86 ± 0.380.535
Kt/V1.23 ± 0.331.20 ± 0.260.551
Urea reduction ratio (%)65.04 ± 15.6162.14 ± 17.350.270
Comparison of stigma

Post-intervention SIS total scores were significantly lower in the observation group (51.06 ± 9.08) than in the control group (63.62 ± 8.31) (P < 0.001). The scores in all four subdomains (social exclusion, financial insecurity, internalized shame, and social isolation) were significantly lower in the observation group (P < 0.05) (Table 2). These findings suggest that narrative support relates to reduced stigma in patients undergoing MHD.

Table 2 Comparison of stigma, mean ± SD.
Characteristics
Observation group (n = 85)
Control group (n = 73)
P1
Total SIS score
Pre-intervention70.04 ± 7.5770.98 ± 8.290.458
Post-intervention51.06 ± 9.0863.62 ± 8.31< 0.001
P2< 0.001< 0.001-
Social exclusion
Pre-intervention25.64 ± 4.8225.56 ± 5.980.926
Post-intervention18.09 ± 4.2623.33 ± 4.91< 0.001
P2< 0.0010.015-
Financial insecurity
Pre-intervention9.62 ± 2.719.58 ± 2.830.928
Post-intervention7.41 ± 2.859.37 ± 2.64< 0.001
P2< 0.0010.644-
Internalized shame
Pre-intervention16.03 ± 2.2416.65 ± 2.180.081
Post-intervention11.24 ± 3.6214.73 ± 2.32< 0.001
P2< 0.001< 0.001-
Social isolation
Pre-intervention18.75 ± 4.6619.10 ± 4.490.633
Post-intervention14.32 ± 5.0216.19 ± 3.450.008
P2< 0.001< 0.001-
Comparison of negative emotions

Following the intervention, anxiety (SAS) and depression (SDS) scores in the observation group (40.76 ± 7.19 and 38.98 ± 6.36, respectively) were significantly lower than those in the control group (48.58 ± 9.11 and 43.18 ± 8.71, respectively) (P < 0.001) (Table 3), demonstrating favorable changes in negative emotional states.

Table 3 Comparison of negative emotions, mean ± SD.
Characteristics
Observation group (n = 85)
Control group (n = 73)
P1
SAS
Pre-intervention51.12 ± 8.0550.87 ± 8.210.847
Post-intervention40.76 ± 7.1948.58 ± 9.11< 0.001
P2< 0.0010.113-
SDS
Pre-intervention47.25 ± 7.1446.97 ± 7.420.810
Post-intervention38.98 ± 6.3643.18 ± 8.71< 0.001
P2< 0.0010.005-
Comparison of treatment adherence

The observation group exhibited a significantly higher ESRD-AQ total score (835.07 ± 64.06) than the control group (656.41 ± 67.28) (P < 0.001). These included significantly improved scores for treatment adherence, medication adherence, fluid restriction, and dietary compliance (P < 0.001) (Table 4). Our results indicated that narrative support was associated with enhanced treatment adherence.

Table 4 Comparison of treatment adherence rates, mean ± SD.
Characteristics
Observation group (n = 85)
Control group (n = 73)
P1
Total treatment adherence
Pre-intervention626.38 ± 54.51622.02 ± 49.910.603
Post-intervention835.07 ± 64.06656.41 ± 67.28< 0.001
P2< 0.001< 0.001-
Treatment adherence
Pre-intervention275.11 ± 35.62270.02 ± 37.110.381
Post-intervention355.34 ± 33.74284.47 ± 41.15< 0.001
P2< 0.0010.027-
Medication adherence
Pre-intervention95.24 ± 24.5796.84 ± 19.120.653
Post-intervention140.15 ± 36.18103.01 ± 34.11< 0.001
P2< 0.0010.180-
Fluid restrictions
Pre-intervention123.02 ± 16.87121.91 ± 13.540.653
Post-intervention170.75 ± 18.20129.33 ± 21.26< 0.001
P2< 0.0010.013-
Diet recommendations
Pre-intervention133.01 ± 28.54133.25 ± 23.770.959
Post-intervention168.82 ± 24.44139.60 ± 31.19< 0.001
P2< 0.0010.169
Comparison of sleep quality

The observation group had a significantly lower total PSQI score (6.60 ± 1.94) than the control group (8.11 ± 2.14) (P < 0.001), indicating better sleep quality. Significant improvements were observed in many aspects, including daytime dysfunction, habitual sleep efficiency, sleep latency, sleep disorders, and sleep duration. No significant difference was found in subjective sleep quality or use of sleeping medications (P > 0.05) (Table 5).

Table 5 Comparison of sleep quality, mean ± SD.
Characteristics
Observation group (n = 85)
Control group (n = 73)
P1
Total PSQI score
Pre-intervention8.71 ± 1.088.73 ± 1.090.908
Post-intervention6.60 ± 1.948.11 ± 2.14< 0.001
P2< 0.0010.029-
Subjective sleep quality
Pre-intervention1.13 ± 0.361.21 ± 0.420.199
Post-intervention0.91 ± 0.370.95 ± 0.400.515
P2< 0.001< 0.001-
Sleep latency
Pre-intervention1.30 ± 0.431.28 ± 0.390.761
Post-intervention1.01 ± 0.421.23 ± 0.460.002
P2< 0.0010.480-
Sleep duration
Pre-intervention0.98 ± 0.451.04 ± 0.440.417
Post-intervention0.82 ± 0.411.19 ± 0.43< 0.001
P20.0160.039-
Habitual sleep efficiency
Pre-intervention1.41 ± 0.441.39 ± 0.460.781
Post-intervention0.94 ± 0.391.30 ± 0.49< 0.001
P2< 0.0010.255-
Sleep disturbances
Pre-intervention1.41 ± 0.371.38 ± 0.450.646
Post-intervention1.04 ± 0.421.27 ± 0.480.002
P2< 0.0010.155-
Use of sleep medications
Pre-intervention1.06 ± 0.301.02 ± 0.260.376
Post-intervention0.85 ± 0.390.90 ± 0.340.396
P2< 0.0010.018-
Daytime dysfunction
Pre-intervention1.42 ± 0.471.41 ± 0.390.886
Post-intervention1.04 ± 0.421.26 ± 0.530.004
P2< 0.0010.053-
Comparison of quality of life

Post-intervention, the observation group showed significantly higher SF-36 scores across all eight dimensions (P < 0.05). Significant improvements were observed in all indicators related to physical and mental health, including physical functioning, bodily pain, role-emotional, vitality, general health, mental health, and social functioning (Table 6). These results underscore the potential benefits of narrative support in promoting physical rehabilitation and psychosocial well-being in patients undergoing MHD.

Table 6 Comparison of quality of life, mean ± SD.
Characteristics
Observation group (n = 85)
Control group (n = 73)
P1
PF
Pre-intervention57.42 ± 13.0158.87 ± 12.450.477
Post-intervention73.64 ± 15.5762.60 ± 16.73< 0.001
P2< 0.0010.129-
RP
Pre-intervention54.62 ± 11.3353.87 ± 9.940.661
Post-intervention63.76 ± 14.9156.26 ± 11.87< 0.001
P2< 0.0010.189-
BP
Pre-intervention62.53 ± 14.9261.87 ± 8.050.736
Post-intervention74.49 ± 15.4766.12 ± 12.45< 0.001
P2< 0.0010.016-
GH
Pre-intervention36.28 ± 14.1235.91 ± 11.020.856
Post-intervention63.25 ± 12.3640.67 ± 15.47< 0.001
P2< 0.0010.022-
VT
Pre-intervention41.16 ± 9.8140.88 ± 8.290.848
Post-intervention53.85 ± 9.1641.34 ± 10.65< 0.001
P2< 0.0010.771-
RE
Pre-intervention42.13 ± 15.0440.97 ± 11.210.589
Post-intervention63.41 ± 11.6045.22 ± 12.33< 0.001
P2< 0.0010.031-
MH
Pre-intervention57.02 ± 10.1156.87 ± 8.840.922
Post-intervention65.36 ± 12.2860.16 ± 9.900.004
P2< 0.0010.036-
SF
Pre-intervention64.82 ± 10.9865.67 ± 8.650.594
Post-intervention85.38 ± 11.5573.74 ± 10.46< 0.001
P2< 0.001< 0.001-
Comparison of changes in pre- and post-treatment indicators

Finally, we compared the differences between the pre- and post-treatment scores for each indicator across the two patient groups. We found significant differences in the changes between the pre- and post-treatment scores for all indicators, except for “Use of sleep medications” and “Subjective sleep quality” (P < 0.05) (Table 7).

Table 7 Comparison of changes in indicators (pre- vs post-treatment).
CharacteristicsDifference score according to baseline
P value
Observation group (n = 85)
Control group (n = 73)
Total SIS score-18.00 (-26.00, -11.00)-8.00 (-15.00, 0.00)< 0.001
Social exclusion-8.00 (-12.00, -3.00)-2.00 (-8.00, 2.00)< 0.001
Financial insecurity-2.00 (-5.00, 1.00)0.00 (-3.00, 3.00)0.002
Internalized shame-5.00 (-8.00, -2.00)-1.00 (-3.00, 0.00)< 0.001
Social isolation-6.00 (-10.00, -1.00)-3.00 (-6.00, 0.00)0.017
SAS-10.00 (-19.00, -3.00)-3.00 (-9.00, 4.00)< 0.001
SDS-9.00 (-15.00, -1.00)-4.00 (-12.00, 6.00)0.029
Total treatment adherence231.00 (153.00, 268.00)39.00 (-9.00, 79.00)< 0.001
Treatment adherence83.00 (49.00, 117.00)13.00 (-21.00, 61.00)< 0.001
Medication adherence48.00 (14.00, 75.00)7.00 (-22.00, 29.00)< 0.001
Fluid restrictions49.00 (29.00, 72.00)6.00 (-8.00, 21.00)< 0.001
Diet recommendations34.00 (12.00, 63.00)7.00 (-19.00, 32.00)< 0.001
Total PSQI score-2.00 (-3.00, -1.00)-1.00 (-2.00, 1.00)0.002
Subjective sleep quality0.00 (0.00, 0.00)0.00 (-1.00, 0.00)0.627
Sleep latency-0.30 (-0.70, 0.10)-0.10 (-0.40, 0.20)0.015
Sleep duration0.00 (0.00, 0.00)0.00 (0.00, 0.00)0.002
Habitual sleep efficiency-0.50 (-0.80, -0.10)-0.10 (-0.60, 0.30)< 0.001
Sleep disturbances-0.30 (-0.70, -0.10)-0.20 (-0.70, 0.40)0.019
Use of sleep medications0.00 (0.00, 0.00)0.00 (0.00, 0.00)0.183
Daytime dysfunction-0.30 (-0.70, 0.00)-0.30 (-0.60, 0.20)0.101
PF17.00 (5.00, 31.00)6.00 (-9.00, 18.00)< 0.001
RP10.00 (-3.00, 22.00)1.00 (-10.00, 13.00)0.007
BP13.00 (0.00, 28.00)8.00 (-5.00, 14.00)0.014
GH27.00 (16.00, 38.00)4.00 (-8.00, 18.00)< 0.001
VT13.00 (4.00, 21.00)-1.00 (-10.00, 9.00)< 0.001
RE19.00 (10.00, 32.00)3.00 (-7.00, 15.00)< 0.001
MH7.00 (0.00, 19.00)5.00 (-5.00, 11.00)0.049
SF23.00 (10.00, 31.00)7.00 (0.00, 18.00)< 0.001
DISCUSSION

Although MHD can prolong the survival of patients with ESRD, it is often accompanied by a considerable burden of symptoms[25]. Young and middle-aged patients undergoing MHD not only face physical stress, but also face a series of psychosocial challenges, including work interruptions, family role conflicts, and decreased social function, which can trigger significant negative emotional responses[26]. Compared with other psychosocial interventions such as cognitive behavioral therapy or mindfulness therapy, narrative support focuses more on constructing meaning in the patient’s own language and life context through storytelling and emotional processing. cognitive behavioral therapy focuses on cognitive reconstruction and behavioral activation, while mindfulness emphasizes current awareness and non-judgmental acceptance, and narrative support provides patients with a personalized and interpersonally connected way to help them reconstruct the disease narrative, which may be particularly important for young patients facing identity disruption and role conflict[27,28]. In this study, we evaluated the role of narrative support in reducing stigma, anxiety and depression in this population, and further explored its association with treatment compliance, overall quality of life and sleep quality. Our findings suggest that younger dialysis patients receiving narrative support experienced greater improvements across multiple dimensions, underscoring the adaptability and clinical utility of narrative support. Different from most previous studies that focused on the physiological results of the elderly mental health patients or a single psychological scale, this study adopted a comprehensive framework based on psychosocial adaptation, behavioral change and functional recovery to evaluate the multiple benefits of narrative support.

Stigma is particularly prevalent among younger patients undergoing MHD, often prompting them to hide their dialysis status in social or professional settings[8]. Evidence indicates that stigma diminishes patient initiative by reducing social engagement and help-seeking behaviors[29]. Our results confirm that narrative support helps patients reconstruct their dialysis identity in a more positive way, thereby reducing stigma. Through a structured narrative process, patients are encouraged to express their dialysis experience, gradually get rid of stigmatized labels, and establish a healthier self-cognition[30]. Similarly, studies on patients with post-traumatic stress disorder have shown that narrative reconstruction can not only reduce the sense of shame and isolation, but also enhance resilience and promote emotional adaptation[31]. As a central mechanism of narrative intervention, the reconstruction of meaning helps patients to interpret their illness as part of their lives rather than as a burden or a label. Consequently, narrative support serves not only as a means of emotional catharsis, but is also a cognitive reconstruction process with long-term therapeutic potential. Although no formal qualitative data were collected, the nursing staff’s consultation records show that many patients reported changes in their self-perception of their own accord, for example, the transition from a feeling of discrimination to a feeling of greater acceptance. Future research should employ systematic qualitative research methods to directly capture this process of identity reconstruction.

The degree of anxiety and depression in the observation group was also lower. In this population, the pressure of taking into account family, work and medical roles, coupled with the long-term interference caused by dialysis, often leads to emotional exhaustion, helplessness and economic pressure[32]. Narrative support provides a safe space for the expression of emotions and is complemented by reflective feedback and the redefinition of roles to help patients develop adaptive cognitive frameworks[33,34]. For patients who suffer from high social expectations, open and empathetic communication facilitated by narrative support may be particularly beneficial[35].

At the behavioral level, the significant enhancement in treatment adherence supports the notion that emotional improvement may contribute to behavioral transformation. This finding suggests that narrative support helps patients gain a deeper understanding of and responsibility for their treatment processes. Evidence indicates that when individuals feel emotionally understood and accepted, they are more likely to actively engage in the treatment and establish a sense of trust[36]. Gariani et al[37] reported in their study on diabetic patients that structured emotional support improved patients’ identification with disease management behaviors, thereby enhancing the consistency of their adherence. Moreover, doctor–patient trust developed through narrative support intervention serves as a critical foundation for improved adherence[38]. In addition, patients in the observation group demonstrated better overall sleep quality. However, no statistically significant differences were observed in subjective sleep quality or the use of sleep medications. This may be attributed to the fact that narrative support, as a non-pharmacological psychosocial intervention, mainly improves objective sleep structure (such as sleep latency, sleep efficiency, and sleep duration) rather than subjective sleep perception; sleep medication use is affected by physician advice, psychological dependence, and long-term habits, which are less responsive to short-term psychosocial interventions[39]. In addition, subjective sleep perception is often influenced by mood swings and cognitive expectations, and therefore may not be immediately consistent with objective improvements. This highlights the need for future follow-up studies to monitor long-term trends in sleep-related outcomes[40].

It is worth noting that narrative support is also positively correlated with the improvement of quality of life in physical and psychosocial aspects. Compared with traditional health education, this method pays more attention to the narrative and emotional expression of patients, which helps to promote more in-depth participation, cognitive reconstruction and improvement of coping ability[41,42]. For younger patients with complex social roles, improvements in social reintegration and family functioning are key indicators of perceived well-being[43,44].

This study has some limitations. First, as a single-center retrospective analysis using non-randomized, consecutive sampling, the sample source and design inherently limit its generalizability and preclude causal inference. The lack of randomization increases the risk of selection bias; for instance, patients who received narrative support might have differed systematically from those who did not in terms of motivation or psychological resilience. Additionally, using a historical control group introduces the possibility for a time trend, where improvements in general care quality over the study period could be misinterpreted for an intervention effect. Although data collection and outcome assessments were conducted independently to minimize bias, a formal blinding procedure was not used. In addition, no subgroup analysis was performed in this study, which may limit our ability to find differences in efficacy between different patient characteristics. Thus, the external validity of the findings warrants further confirmation through multicenter prospective studies. Second, all outcome indicators rely on self-reported scales without objective biochemical or dialysis adequacy indicators as secondary outcomes, which limits the clinical persuasiveness of conclusions. Third, the outcomes were primarily assessed using self-reported questionnaires, and the absence of follow-up data over extended periods limited our ability to assess the sustainability of behavioral and emotional changes over time. Future research should adopt a multi-center, prospective, randomized controlled study design, combined with longitudinal tracking, objective outcome indicators and qualitative research methods to better clarify the long-term effects and potential mechanisms of narrative support in chronic disease management.

CONCLUSION

In summary, this study established a structured narrative support intervention associated with emotional regulation, behavioral transformation, functional recovery, and improved quality of life in patients undergoing MHD. Although these findings support the feasibility and potential clinical application value of narrative support, strict prospective randomized controlled trials are still needed to confirm its efficacy and establish a causal relationship.

References
1.  Li Y, Han M, Song J, Liu S, Wang Y, Su X, Wei K, Xu Z, Li H, Wang Z. The prebiotic effects of soluble dietary fiber mixture on renal anemia and the gut microbiota in end-stage renal disease patients on maintenance hemodialysis: a prospective, randomized, placebo-controlled study. J Transl Med. 2022;20:599.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 29]  [Reference Citation Analysis (0)]
2.  Vernooij RWM, Hockham C, Strippoli G, Green S, Hegbrant J, Davenport A, Barth C, Canaud B, Woodward M, Blankestijn PJ, Bots ML; CONVINCE Scientific Committee;  HDF Pooling Project Investigators. Haemodiafiltration versus haemodialysis for kidney failure: an individual patient data meta-analysis of randomised controlled trials. Lancet. 2024;S0140-6736(24)01859.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 39]  [Reference Citation Analysis (0)]
3.  Chen T, Sun X, Tsuei S, Yang R, Yip W, Fu H. Care for end-stage kidney disease in China: progress, challenges, and recommendations. Lancet Reg Health West Pac. 2025;54:101268.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 21]  [Reference Citation Analysis (0)]
4.  Soliva MS, Carrascosa López C, Rico Salvador I, Ramón RO, Coca JV, Maset RG, Testal AG. The effectiveness of live music in reducing anxiety and depression among patients undergoing haemodialysis. A randomised controlled pilot study. PLoS One. 2024;19:e0307661.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 9]  [Cited by in RCA: 7]  [Article Influence: 3.5]  [Reference Citation Analysis (0)]
5.  Song MK, Manatunga A, Plantinga L, Metzger M, Kshirsagar AV, Lea J, Abdel-Rahman EM, Jhamb M, Wu E, Englert J, Ward SE. Effectiveness of an Advance Care Planning Intervention in Adults Receiving Dialysis and Their Families: A Cluster Randomized Clinical Trial. JAMA Netw Open. 2024;7:e2351511.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 23]  [Cited by in RCA: 22]  [Article Influence: 11.0]  [Reference Citation Analysis (0)]
6.  Sultan S, Nasir K, Qureshi R, Dhrolia M, Ahmad A. Association Of Bone Mineral Profile With Restless Leg Syndrome In Patients With End Stage Renal Disease. J Ayub Med Coll Abbottabad. 2022;34 (Suppl 1):S660-S664.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
7.  Zhang S, Xu Y, Xia Y. The efficacy and safety of sertraline in maintenance hemodialysis patients with depression: A randomized controlled study. J Affect Disord. 2024;352:60-66.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3]  [Cited by in RCA: 8]  [Article Influence: 4.0]  [Reference Citation Analysis (0)]
8.  Zhang N, Lai F, Guo Y, Wang L. Status of and Factors Influencing the Stigma of Chinese Young and Middle-Aged Maintenance Hemodialysis Patients: A Preliminary Study. Front Psychol. 2022;13:873444.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 12]  [Reference Citation Analysis (0)]
9.  Chia AW, Teo WL, Acharyya S, Munro YL, Dalan R. Patient-physician communication of health and risk information in the management of cardiovascular diseases and diabetes: a systematic scoping review. BMC Med. 2025;23:96.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 5]  [Cited by in RCA: 9]  [Article Influence: 9.0]  [Reference Citation Analysis (0)]
10.  Wen B, Liu Y, Min XX, Wang AQ. Nursing effect of narrative nursing intervention on postoperative patients with severe lung cancer. World J Clin Cases. 2024;12:76-85.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in CrossRef: 1]  [Cited by in RCA: 11]  [Article Influence: 5.5]  [Reference Citation Analysis (4)]
11.  Johnson-Koenke R, Horton-Deutsch S, Pratt-Hopp F, Jones J, Oman KS. Stories of the Heart: Illness Narratives of Veterans Living With Heart Failure. Fed Pract. 2022;39:237-243.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
12.  Nkambule E, Wella K, Msosa A, Mbakaya BC, Chilemba E, Msiska G. Patient's experiences of diabetes care at a tertiary health facility in Lilongwe, Malawi. BMC Health Serv Res. 2023;23:1093.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 4]  [Reference Citation Analysis (0)]
13.  Zhou M, Gu X, Cheng K, Wang Y, Zhang N. Exploration of symptom clusters during hemodialysis and symptom network analysis of older maintenance hemodialysis patients: a cross-sectional study. BMC Nephrol. 2023;24:115.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 32]  [Reference Citation Analysis (0)]
14.  Wu X, Hu Y, Hu A. Stigma and illness uncertainty among patients with visible burn scars: A cross-sectional study. Burns. 2022;48:1190-1197.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 4]  [Cited by in RCA: 4]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
15.  Deng Z, Bernot A, Davies SE. Perceived stigma of COVID-19 patients in Shanghai, China, in the third year of the pandemic: a cross-sectional social impact survey. BMC Public Health. 2023;23:1709.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 1]  [Reference Citation Analysis (0)]
16.  Zung WW. A rating instrument for anxiety disorders. Psychosomatics. 1971;12:371-379.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 3461]  [Cited by in RCA: 3013]  [Article Influence: 54.8]  [Reference Citation Analysis (1)]
17.  ZUNG WW. A Self-Rating Depression Scale. Arch Gen Psychiatry. 1965;12:63-70.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 7639]  [Cited by in RCA: 6165]  [Article Influence: 101.1]  [Reference Citation Analysis (6)]
18.  Wang Q, Zhang B, Zhang S, Wei C, Fu D, Zhao H, Bai X. Anxiety and depression and their interdependent influencing factors among medical students in Inner Mongolia: the cross-sectional survey. BMC Med Educ. 2022;22:787.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 8]  [Cited by in RCA: 13]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
19.  Naalweh KS, Barakat MA, Sweileh MW, Al-Jabi SW, Sweileh WM, Zyoud SH. Treatment adherence and perception in patients on maintenance hemodialysis: a cross - sectional study from Palestine. BMC Nephrol. 2017;18:178.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 64]  [Cited by in RCA: 58]  [Article Influence: 6.4]  [Reference Citation Analysis (0)]
20.  Lasanthika C, Wanigasuriya K, Hettiaratchi U, Amarasekara TD, Goonewardena CSE. Psychometric properties of End Stage Renal Disease-Adherence Questionnaire-Sinhalese version among patients receiving haemodialysis. PLoS One. 2023;18:e0292938.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
21.  Wang J, Wang Z, Wang X, Du G, Zheng B, Li Y, Wang Q. Combination of Alprazolam and Bailemian Capsule Improves the Sleep Quality in Patients With Post-Stroke Insomnia: A Retrospective Study. Front Psychiatry. 2019;10:411.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 8]  [Cited by in RCA: 15]  [Article Influence: 2.1]  [Reference Citation Analysis (0)]
22.  Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193-213.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 27831]  [Cited by in RCA: 24225]  [Article Influence: 654.7]  [Reference Citation Analysis (8)]
23.  Mirzaei S, Tame AI, Anbiaie R, Moradipour F, Nasiri M, Rohani C. Emotional Intelligence as A Predictor of Health-Related Quality of Life in Breast Cancer Survivors. Asia Pac J Oncol Nurs. 2019;6:261-268.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 13]  [Article Influence: 1.9]  [Reference Citation Analysis (0)]
24.  Ware JE Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992;30:473-483.  [PubMed]  [DOI]
25.  Bansal N, Artinian NT, Bakris G, Chang T, Cohen J, Flythe J, Lea J, Vongpatanasin W, Chertow GM; American Heart Association Council on the Kidney in Cardiovascular Disease;  Council on Cardiovascular and Stroke Nursing;  and Council on Epidemiology and Prevention. Hypertension in Patients Treated With In-Center Maintenance Hemodialysis: Current Evidence and Future Opportunities: A Scientific Statement From the American Heart Association. Hypertension. 2023;80:e112-e122.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 66]  [Cited by in RCA: 55]  [Article Influence: 18.3]  [Reference Citation Analysis (0)]
26.  Mai Q, Xu S, Hu J, Sun X, Chen G, Ma Z, Song Y, Wang C. The association between socioeconomic status and health-related quality of life among young and middle-aged maintenance hemodialysis patients: multiple mediation modeling. Front Psychiatry. 2023;14:1234553.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 13]  [Reference Citation Analysis (0)]
27.  Wu YY, Gao YY, Wang JQ, Zhang C, Xu PJ, Liu J, Yu RZ, Zhang HJ. The influence of mindfulness meditation combined with progressive muscle relaxation training on the clinical efficacy and quality of life of patients with sarcopenia receiving haemodialysis: a randomised controlled trial. BMC Complement Med Ther. 2024;24:194.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 13]  [Cited by in RCA: 12]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
28.  Giannou K, Mantzios M. Meditative and non-meditative mindfulness-based interventions for mind and body. BMC Complement Med Ther. 2023;23:235.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 5]  [Reference Citation Analysis (0)]
29.  Zhuo Q, Xu N, Wang H, Huang B, Lu W. Analysis of the status and associated factors of stigma in patients undergoing maintenance hemodialysis. Clin Nephrol. 2025;103:161-171.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
30.  Lin C, Tu R, Bier B, Tu P. Uncovering the Imprints of Chronic Disease on Patients' Lives and Self-Perceptions. J Pers Med. 2021;11:807.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 3]  [Cited by in RCA: 12]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
31.  Gofman M, Kivity Y, Bar-Kalifa E, Vidan Z, Hasson Ohayon I, Tuval-Mashiach R, Peri T. Narrative Reconstruction as an Intervention for Posttraumatic Stress Disorder: A Pilot Delayed Intervention Quasi-Randomized Controlled Trial. J Trauma Stress. 2021;34:92-103.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 6]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
32.  Vovlianou S, Koutlas V, Papoulidou F, Tatsis V, Milionis H, Skapinakis P, Dounousi E. Burden, depression and anxiety effects on family caregivers of patients with chronic kidney disease in Greece: a comparative study between dialysis modalities and kidney transplantation. Int Urol Nephrol. 2023;55:1619-1628.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 8]  [Cited by in RCA: 6]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
33.  Rigas C, Park H, Nassim M, Su CL, Greenway K, Lipman M, McVeigh C, Novak M, Trinh E, Alam A, Suri RS, Mucsi I, Torres-Platas SG, Noble H, Sekhon H, Rej S, Lifshitz M. Long-term Effects of a Brief Mindfulness Intervention Versus a Health Enhancement Program for Treating Depression and Anxiety in Patients Undergoing Hemodialysis: A Randomized Controlled Trial. Can J Kidney Health Dis. 2022;9:20543581221074562.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 8]  [Reference Citation Analysis (0)]
34.  Yıldız GN, Çiftçi B. Narrative nursing as a holistic approach in modern healthcare: Integrating emotional and physical care. World J Psychiatry. 2025;15:102956.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 6]  [Reference Citation Analysis (1)]
35.  Bargiel-Matusiewicz K, Łyś A, Stelmachowska P. The positive influence of psychological intervention on the level of anxiety and depression in dialysis patients: A pilot study. Int J Artif Organs. 2019;42:167-174.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 16]  [Cited by in RCA: 10]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
36.  Akano K, Sugihara T. Exploring perceptions of diabetes distress and its care in Japan: a qualitative study of patients and physicians. BMJ Open. 2024;14:e090066.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
37.  Gariani K, Ryu D, Rizzo M. Cognitive disorders in diabetes. Front Clin Diabetes Healthc. 2025;6:1534105.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 4]  [Cited by in RCA: 6]  [Article Influence: 6.0]  [Reference Citation Analysis (0)]
38.  Martell R, Reade M, Boesch L, Kaur DP, Kumar S, McArthur M, Maar MA. The role of narratives in promoting vaccine confidence among Indigenous peoples in Canada, the United States, Australia, and New Zealand: a scoping review. Int J Equity Health. 2025;24:63.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in Crossref: 12]  [Cited by in RCA: 10]  [Article Influence: 10.0]  [Reference Citation Analysis (0)]
39.  İşcan Ayyildiz N, Bingöl N. The effects of web-based animation-supported progressive relaxation exercises applied to individuals with epilepsy on fatigue and sleep quality: A randomized controlled study. Epilepsy Behav. 2024;154:109734.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 2]  [Reference Citation Analysis (0)]
40.  Ma Y, Goldstein MR, Davis RB, Yeh GY. Profile of subjective-objective sleep discrepancy in patients with insomnia and sleep apnea. J Clin Sleep Med. 2021;17:2155-2163.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 17]  [Cited by in RCA: 39]  [Article Influence: 7.8]  [Reference Citation Analysis (0)]
41.  Jayanti S, Rangan GK. Advances in Human-Centered Care to Address Contemporary Unmet Needs in Chronic Dialysis. Int J Nephrol Renovasc Dis. 2024;17:91-104.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Full Text (PDF)]  [Cited by in RCA: 3]  [Reference Citation Analysis (0)]
42.  Villar F, Westerhof GJ. A conversational, small-story approach to narrative care for people with dementia living in care institutions: Strategies and challenges. J Aging Stud. 2023;64:101105.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 7]  [Reference Citation Analysis (0)]
43.  Şanli ME, Dinç M, Öner U, Buluş M, Çiçek İ, Doğan İ. The Role of Spirituality in Anxiety and Psychological Resilience of Hemodialysis Patients in Turkey. J Relig Health. 2023;62:4297-4315.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in RCA: 9]  [Reference Citation Analysis (0)]
44.  Piva G, Storari A, Battaglia Y, Manfredini F, Lamberti N. Exercise, Dialysis, and Environment: A Narrative Review in an Ecological Perspective. Kidney Blood Press Res. 2024;49:773-786.  [RCA]  [PubMed]  [DOI]  [Full Text]  [Cited by in Crossref: 2]  [Cited by in RCA: 4]  [Article Influence: 2.0]  [Reference Citation Analysis (0)]
Footnotes

Peer review: Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Psychiatry

Country of origin: China

Peer-review report’s classification

Scientific quality: Grade B, Grade C

Novelty: Grade B, Grade C

Creativity or innovation: Grade B, Grade C

Scientific significance: Grade B, Grade C

P-Reviewer: Leys C, PhD, Belgium; Oncue E, MD, Türkiye S-Editor: Bai Y L-Editor: A P-Editor: Yu HG

Write to the Help Desk