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. 2021 Aug 12:1–6. doi: 10.1159/000517839

How Dialysis Patients Cope with a Curfew? A Comparison of Psychological Status between Hemodialysis and Peritoneal Dialysis Patients During the COVID-19 Pandemic

Cebrail Karaca a, Necmi Eren b, Mevlut Tamer Dincer a, Senol Turan c, Hatice Kubra Karaca d, Mehmet Kucuk e, Sennur Kose f, Sibel Gokcay Bek b, Alev Bakir g, Erkan Dervisoglu b, Nurhan Seyahi a, Sinan Trabulus a,*
PMCID: PMC8450823  PMID: 34515061

Abstract

Introduction

There are many differences between hemodialysis (HD) and peritoneal dialysis (PD) treatments, including their impact on the psychological status of the patients. In this study, our aim was to compare the psychological statuses of HD and PD patients during the social isolation period due to the COVID-19 pandemic.

Methods

We conducted this cross-sectional study on adult HD and PD patients when the curfew measures were in effect. We used an electronic form composed of 3 sections to collect data. In the first section, we collected data on the demographics and clinical and laboratory parameters of the patients. The second and third sections consisted of the Hospital Anxiety and Depression Scale (HADS) and the Impact of Event Scale-Revised (IES-R) questionnaires, respectively.

Results

The HD (n = 116) and PD (n = 130) groups were similar regarding age and sex, and they had similar HADS anxiety scores. HADS depression scores were higher in PD patients (p = 0.052). IES-R scores were significantly higher in PD patients in comparison to HD patients (p = 0.001). Frequencies of abnormal HADS-anxiety (p = 0.035) and severe psychological impact (p = 0.001) were significantly higher in PD patients.

Discussion/Conclusion

During the social isolation period due to the COVID-19 pandemic, HD patients had better mood profiles than PD patients. A more stable daily routine, an uninterrupted face-to-face contact with health-care workers, and social support among patients in the in-center dialysis environment might be the cause of the favorable mood status. PD patients might need additional psychological support during those periods.

Keywords: Anxiety, Depression, COVID-19, Hemodialysis, Peritoneal dialysis

Introduction

On March 11, 2020, the World Health Organization announced the pandemic status for a new type of coronavirus (severe acute respiratory syndrome coronavirus 2) infection (COVID-19). The outbreak emerged from Wuhan city in China [1].

In Turkey, the first PCR-confirmed case was identified on March 11. Since then, a plethora of regulations from the government has come into effect. Schools and all public gathering places, such as cafes, gyms, internet cafes, movie theaters, restaurants, dining places, and patisseries were closed. A total lockdown was declared for people who were over 65 or below 20 years of age or those with a chronic illness. Finally, on April 10, 2020, a total lockdown during weekends was imposed in 30 metropolitan provinces.

The rapid spread of the COVID-19 pandemic all over the world has had a massive impact on health-care systems and therefore on individuals. Studies investigating the short-term mental health effects of the COVID-19 pandemic revealed the harmful psychological consequences of the outbreak on different populations [2]. Still, the mental health effects of the COVID-19 outbreak on patients with chronic medical illnesses remain largely unaddressed.

There are many factors that may lead to a mental disorder, including depression or anxiety among patients undergoing hemodialysis (HD) or peritoneal dialysis (PD) [3]. Apart from disease-related issues such as pain, sleep disturbances, fatigue, uremic symptoms, and restrictions of diet and social life, certain events may aggravate mental disorder in these specific populations. Different psychological measures can be used to evaluate individuals for a range of mental health conditions such as anxiety, depression, and post-traumatic stress disorder. In this study, we aimed to compare the effects of the pandemic and its control measures on the psychological statuses of HD and PD patients.

Materials and Methods

Study Design

We performed a cross-sectional study and collected information via electronic survey about the demographics (age, gender, marital status, having children, level of education, household size, and presence of a household member >65 years of age), clinical and laboratory data, and psychological statuses of the participants. Using the survey, we tried to find out whether the patients considered the outbreak “very serious,” “serious,” or “not serious,” whether they followed the advices to stay home or felt obliged to leave home for work, and whether they thought they received adequate medical support during the pandemic period.

The study was conducted between May 11 and May 31, 2020, among patients attending 3 HD (in Istanbul province) and 2 PD centers (Istanbul and Kocaeli provinces), located in the Marmara Region and who were under the same administrative regulations regarding pandemic-related restrictions.

Participants

Only adult patients (>18 years of age) were eligible to participate in this study. The first group of participants consisted of HD patients who were under regular follow-up in 3 different HD centers (one university hospital and 2 private centers) and the second group included PD patients from 2 PD centers (one university and one training and research hospital). A total of 246 individuals were eligible for the study. The Hospital Anxiety and Depression Scale (HADS) and the Impact of Event Scale-Revised (IES-R) questionnaires were completely filled by the 116 HD and 130 PD patients. We evaluated the presence of the following comorbid diseases: diabetes mellitus, hypertension, asthma, chronic obstructive pulmonary disease, coronary arterial disease, and heart failure.

Survey and Data Collection

We used an electronic survey created using the Google Forms platform. A Google account was set up (https://forms.gle/4Em91L7J5LZRuNCRA) and managed by the lead researcher to collect the survey responses, which were recorded on the designed platform. The survey consisted of 3 sections. In the first section, demographics and the clinical and social data of the patients were collected. The patients were also asked questions to find out how many times they had left their house and had undergone HD. In the second section, an electronic version of the HADS was used. And finally, in the last section, the IES-R questionnaire was used [4, 5]. HD patients filled out the forms using smartphones during their HD sessions, while PD patients filled out the survey using smartphones or computers via a Web link sent to their phones.

Hospital Anxiety Depression Scale

The HADS is commonly used to assess the anxiety and depression of patients [4]. The term “hospital” in its title suggests that it is used for patients only, but many studies have confirmed that it can be used in community settings and primary care medical practice too [6]. The HADS contains 2 subscales that measure symptoms of depression (HADS-D; 7 items) and anxiety (HADS-A; 7 items) during the previous week. The items are scored on a four-point rating scale from 0 to 3, and for each subscale, the total score is at most 21. We used the validated Turkish version of the HADS in our study. The HADS scores can be interpreted using cutoff values. For the Turkish version, a cutoff value of 10 for the HADS-A score and a cutoff value of 7 for the HADS-D score was proposed to classify the scores as “abnormal” [7].

Impact of Event Scale-Revised

The IES-R tool is commonly used to determine the severity of post-traumatic stress disorder [5] and has been used to measure stress after the COVID-19 pandemic [8]. The scale consists of 22 items, and each item is rated on a five-point rating scale from 0 to 4. The scale is composed of 3 subscales and aims at measuring the mean avoidance, intrusion, and hyperarousal [9]. Its validity and reliability in Turkey were demonstrated by Corapcioglu et al. [10] in 2006, and we used this validated Turkish version. The Turkish version of the IES-R is validated with a good diagnostic performance and a high internal consistency for the cutoff points between 24 and 33. A total IES-R score above 33 suggests the presence of post-traumatic stress disorder.

Statistical Analysis

Descriptive statistics were expressed as mean, standard deviation, median, minimum, and maximum for continuous data and as count and proportion for categorical data. The categorical data were analyzed using the χ2 or Fisher's exact tests. The distribution normality of the continuous variables was calculated with the Shapiro-Wilk test. Normally distributed continuous variables were compared using the independent samples t test, while the Mann-Whitney U test was used for the non-normally distributed data. Statistical analyses were performed using IBM SPSS for Windows v.24 software and were reported with 95% confidence intervals. Values of p < 0.05 were considered significant.

Results

Participants, Demographic, Clinical, and Sociocultural Data

The demographic, clinical, and sociocultural data of the participants are shown in Table 1 and online suppl. Table 1; for all online suppl. material, see www.karger.com/doi/10.1159/000517839. Age and gender distribution among the HD and PD patients were similar. The prevalence of diabetes mellitus was similar between the 2 groups; however, hypertension was more common among PD patients. Regarding the sociocultural status, marriage and having a child was more common among PD patients, and they lived with a higher number of persons in the same house. However, the educational status, the presence of a household member >65 years of age, consideration of the seriousness of the outbreak, following the advices to stay home, the obligation of leaving home for work, and the perception of having adequate medical support were similar between HD and PD patients (Table 1).

Table 1.

Demographic, clinical, and sociocultural data of the study participants

HD (n = 116) PD (n = 130) p value
Age (mean + SD), min–max, years 59.6±14.3 (19–88) 56.8±14.3 (19–88) 0.193
Gender (male, %) 59.5 49.2 0.107
Comorbid disease, % 55.2 76.2 0.001
Diabetes mellitus, % 30.2 33.8 0.538
Hypertension, % 35.3 65.4 <0.001
Time on dialysis, mean ± SD, years 6.3±6.1 5.6±4.0 0.523
Kt/V, mean ± SD (median) [range] 1.61±0.26 (1.63) 1.95±0.54 (1.78) <0.001
[0.79–2.23] [1.22–4.99]
Residual renal function, % NA 63.8 NA
Marital status (married, %) 60.3 81.5 <0.001
Have children (yes, %) 80.2 93.1 <0.001
Level of education, %
 Primary school 75.0 71.6
 High school 15.5 19.2 0.744
 University or higher 9.5 9.2
Household size, %
 1–3 71.6 53.8
 4–6 25.9 44.6 0.008
 >6 2.6 1.5
Presence of a household member >65 years of age (yes, %) 41.4 31.5 0.109
Considering the outbreak, %
Very serious 62.9 70.0 0.441
Serious 35.3 29.2
Not serious 1.7 0.8
Following the advices to stay home (yes, %) 99.1 97.7 0.624
Feeling obliged to leave home for work (yes, %) 16.4 7.7 0.056
Thinking that they received adequate medical support during the pandemic period (yes, %) 81.0 75.4 0.285

NA, not available; SD, standard deviation; HD, hemodialysis; PD, peritoneal dialysis. Significant p values are written in bold.

Patients with HD and PD reported that they left the house for 3.6 ± 1.3 times/week and 1.1 ± 1.4 times/week on average, respectively (p < 0.001). Most (93.9%) of the HD patients were receiving dialysis 3 times per week. Vascular access through arteriovenous fistulas was the most frequently used method among HD patients. Continuous ambulatory PD was more common compared to automated PD (79.2% vs. 20.8%, p < 0.001) among PD patients. Dialysis adequacy, expressed as a Kt/V >1.2 for HD patients, and a weekly Kt/V ≥1.7 for PD patients was observed to be 93.3 and 82.9 for HD and PD patients, respectively (p = 0.015) (Table 1). The mean hemoglobin level was 11.3 ± 1.5 g/dL among HD patients and 10.7 ± 1.5 g/dL among PD patients (p = 0.004).

HADS and IES-R Results

Table 2 shows the HADS and IES-R scores. Both groups exhibited similar HADS-A scores. HADS-D scores were higher in PD patients; however, the statistical significance was borderline (p = 0.052). Additionally, the IES-R scores were significantly higher in PD patients than those in HD patients (p = 0.001).

Table 2.

The HADS and IES-R scores of the study groups

HD* (n = 116) PD* (n = 130) p value
HADS-A score (normal <7) 6.6±4.0 (6.0) [0–20] 7.5±4.5 (7.0) [0–18] 0.098
HADS-D score (normal <10) 6.8±4.0 (6.5) [0–19] 7.9±4.4 (7.0) [0–20] 0.052
IES-R score (normal <33) 24.0±12.5 (24.0) [0–66] 29.8±13.8 (28.0) [2–68] 0.001

HADS, Hospital Anxiety and Depression Scale; IES-R, Impact of Event Scale-Revised; SD, standard deviation; HD, hemodialysis; PD, peritoneal dialysis; A, anxiety; D, depression. Significant p values are written in bold.

*

Data are expressed as mean ± SD (median) [range].

The percentage of patients classified as abnormal according to the HADS-A and HADS-D scores and the percentage of patients with post-traumatic stress disorder according to the IES-R scores for each study group is shown in Figure 1. Frequencies of abnormal HADS-A score (p = 0.035) and severe psychological impact (p = 0.001) were significantly higher in PD patients in comparison to HD patients. The frequency of abnormal HADS-D scores was similar between the 2 groups (p = 0.125).

Fig. 1.

Fig. 1

The percentage of patients classified as abnormal according to the HADS-A and HADS-D scores and the percentage of patients with post-traumatic stress disorder according to IES-R scores for each study group (HADS-A [p = 0.035], HADS-D [p = 0.125], and IES-R [p = 0.001]). HADS, Hospital Anxiety and Depression Scale; A, anxiety; D, depression; IES-R, Impact of Event Scale-Revised.

Discussion

To the best of our knowledge, this is the first study that compares the impact of social distancing regulations during the COVID-19 pandemic on the mental status of HD and PD patients. We found that pandemic control measures had a greater impact on the mental statuses of PD patients.

Several studies have compared the mental status of HD and PD patients during the pre-pandemic period [11, 12, 13, 14, 15, 16, 17, 18]. While some studies have not found a significant difference between the 2 dialysis methods in terms of mental status [11, 12], some studies suggested that the mental statuses of PD patients were superior [13, 14, 15, 16], while others favored the mental statuses of HD patients [17, 18].

One of the studies that have shown that there is no significant difference between the mental statuses of PD and HD patients is that of Stasiak et al. [11]. The researchers studied 128 HD and 27 PD patients using the Beck Depression Inventory, the Beck Anxiety Inventory, and HADS and concluded that the type of dialysis performed did not influence the prevalence of anxiety and depression in chronic kidney disease patients [11]. In a prospective cohort study, Wu et al. [12] examined 698 HD and 230 PD patients and compared the self-reported health-related quality of life and overall health status of HD and PD patients at the initiation of dialysis therapy and 1 year later. The authors concluded that PD patients did not have a better quality of life than the HD patients who were begun renal replacement therapy. In general, HD patients may have maintained their general health status to a greater extent than the PD patients.

There are studies in the literature which suggest that PD patients are better than HD patients in terms of mental status. Ginieri-Coccossis et al. [13] investigated 77 in-center HD and 58 continuous ambulatory PD patients using the World Health Organization Quality of Life Questionnaire, the General Health Questionnaire, and the Multidimensional Health Locus of Control and concluded that HD patients experienced more depression symptoms than PD patients. In a seminal study, Kimmel et al. [16] examined all the Medicare-enrolled dialysis patients who were hospitalized in the United States during 1993 (n = 176,368) and found that the adjusted risk of hospitalization for PD patients was lower than that of HD patients for any mental disorder, depression, and alcohol and drug use.

Contrary to that, in some studies, HD patients were shown to be better than PD patients in terms of mental status. For instance, Griva et al. [17] compared the quality of life and emotional adjustment between patients on home-based PD (n = 201) regimens and patients on community HD programs (n = 232) using the HADS and Kidney Disease Quality of Life Short Form. The authors concluded that PD patients reported higher symptoms of depression and lower physical health yet a higher satisfaction with the care given. Lin et al. [18] compared the prevalence of depression using the Taiwanese Depression Questionnaire among HD, PD, and transplantation patients and found that the prevalence of depression among PD patients was higher than those among HD and transplant patients. We also found that PD patients had a higher rate of abnormal HADS-A and IES-R scores. Additionally, although of borderline significance, we noticed that PD patients had higher HADS-D scores; this finding is in line with the study of Griva et al. [17].

In-center HD is a socialized environment that has its own advantages and pitfalls. Patients are more dependent on health-care facilities, and they need to be mobile in order to reach the dialysis centers. The dialysis units may foster social support among patients' having issues related to emotional contagion; witnessing adverse outcomes in others may trigger distress. Additionally, distress in HD patients may be related to procedural aspects of treatment such as the need to travel to dialysis centers, transportation issues, spending considerable time in medical environments (i.e., dialysis wards), and the prolonged sitting time during dialysis. Distress may also be related to the fear of access complications, dialysis-related symptoms, and side effects, which are common concerns among HD patients. Some dialysis centers where COVID-19 patients are also accepted may leave the patients prone to a more stressful environment. The advantages of spending time in the health-care facilities for HD patients could be seeing the health-care professionals on a regular basis and being able to seek first-hand answers from them about the pandemic. According to our results, the advantages of in-center HD were more prominent than pitfalls in a setting of social isolation due to the pandemic.

On the other hand, PD patients are less dependent on health-care settings, and they may isolate themselves at home without an interruption during their renal replacement therapy. However, PD patients did not leave their homes, and they did not have regular face-to-face contacts with health-care professionals during the pandemic, in contrast to HD patients. Additionally, daily life routines were changed more profoundly for PD patients in comparison to HD patients. PD patients who were used to having a more flexible daily routine were forced to stay home, while HD patients continued their regular visits to HD centers. Worse IES-R scores in PD patients might also reflect this traumatic experience.

We used the translated and validated version of psychological assessment tools. Translating psychological assessment tools from one language to another is not just a matter of finding the right words; it should involve, in addition to literal translation, a process of revision, modification, and amendment of the content of those tools to fit the receiving culture [19]. Translated versions of the psychological tests must be statistically validated before being used. During statistical validation, the receiver-operating curve analysis was used, and different cutoff values were found for the Turkish version of the HADS [7].

There were some limitations to our study. Due to its cross-sectional nature, it was hard to infer the causality in the study. We measured the compliance with the curfew using one self-reported questionnaire; therefore, an information bias should be considered. Our study was performed in 2 cities; however, presence of a sociodemographic difference between those 2 cities is unlikely since they are neighboring cities and had the same regulations during the pandemic.

In conclusion, our study might be considered unique since it was performed during the COVID-19 pandemic; a period with unprecedented social isolation measures. According to our findings, during this period, HD patients had better mood profiles than PD patients. We can argue that face-to-face contact with health-care workers and social support among patients in the in-center dialysis environment might be the cause of the more favorable mood status in HD patients than PD patients. PD patients might need additional psychological support during such periods.

Statement of Ethics

The study was approved by the Ministry of Health (2020-05-14T14_08_10) and by the local medical Ethics Committee (approval no: 83088843-604). Informed consent was obtained from all individual participants included in the study.

Conflict of Interest Statement

The authors have declared that no competing interests exist.

Funding Sources

The authors received no specific funding for this work.

Author Contributions

The individual contribution of each co-author is listed below using the following keys: 1 − Conception or design, or analysis and interpretation of data, or both; 2 − Drafting the article or revising it; 3 − Providing intellectual content of critical importance to the work described; and 4 − final approval of the version to be published.

Cebrail Karaca: 1, 2, 3, and 4. Necmi Eren: 1, 2, and 3. Mevlut Tamer Dincer: 2 and 4. Senol Turan: 1 and 4. Hatice Kubra Karaca: 1 and 4. Mehmet Kucuk: 1 and 4. Sennur Kose: 1 and 4. Sibel Gokcay Bek: 1 and 4. Alev Bakir: 1 and 2. Erkan Dervisoglu: 1 and 3. Nurhan Seyahi: 1, 2, 3, and 4. Sinan Trabulus: 1, 2, 3, and 4.

Acknowledgements

The authors thank Sengul Gencoglu, Suna Kalender, and Rukiye Dolgun for their help during the data collection.

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