Depression Inventory for Maintenance Hemodialysis Patients

NCT ID: NCT06844890

Last Updated: 2025-02-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

283 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-04-01

Study Completion Date

2022-08-01

Brief Summary

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Depression is frequently seen among hemodialysis patients; however, it causes an impaired quality of life, a decrease in adherence to treatment, and an increase in hospitalization and mortality rate. It has been stated in the literature that the prevalence rate of depression in hemodialysis patients varies between 25-73%. Despite its high prevalence rate and adverse effects, it has been revealed that only a low rate of patients with depressive symptoms are diagnosed and treated. This is primarily associated with the fact that depressive symptoms in patients are not adequately recognized and examined.

Detailed Description

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Depression is assessed through structured clinical interviews or diagnostic scales. Structured clinical interviews are often regarded as the "gold standard" for the diagnosis of depressive disorders, since they are based on specific diagnostic criteria. However, since it is not always possible for patients to be evaluated by a psychiatrist, some scales are used instead. Even though these scales are not a diagnostic criterion, they are helpful in identifying patients at risk . However, screening may also result in false negatives, where cases of depression are not detected and, consequently, go untreated. Patients with kidney failure differ from the general population because they experience higher rates of comorbid depression. Indeed, there is a clear need for more effective screening tools for patients undergoing hemodialysis, given the wide variation in depression screening methods and the absence of a gold-standard assessment tool tailored to this specific population. Developing an easily administered, disease-specific self-report measure for depression could prove to be highly beneficial. There is only one study that has examined a depression tool specifically designed for patients on maintenance dialysis, known as the Depression Inventory-Maintenance Hemodialysis (DI-MHD)

Conditions

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Depression Hemodialysis Complication Management Risk Behavior

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients aged 18 years and older
* Patients who were receiving hemodialysis treatment for at least three months
* Patients could communicate in Turkish
* Patients who agreed to participate in the study were included in the study.

Exclusion Criteria

* Patients who suffered from psychiatric disorders such as chronic psychosis and were previously diagnosed with depression were excluded from the study
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Istanbul University

OTHER

Sponsor Role lead

Responsible Party

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Nurten Ozen

Associate Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Nurten Ozen, Assoc. Prof.

Role: PRINCIPAL_INVESTIGATOR

Istanbul University

Locations

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Nurten Ozen

Istanbul, , Turkey (Türkiye)

Site Status

Countries

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Turkey (Türkiye)

References

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Wang YY, Zhang WW, Feng L, Gao D, Liu C, Zhong L, Ren JW, Wu YZ, Huang L, Fu LL, He YN. Development and Preliminary Validation of a Depression Assessment Tool for Maintenance Hemodialysis Patients. Ther Apher Dial. 2019 Feb;23(1):49-58. doi: 10.1111/1744-9987.12749. Epub 2018 Sep 21.

Reference Type BACKGROUND
PMID: 30239119 (View on PubMed)

Palmer S, Vecchio M, Craig JC, Tonelli M, Johnson DW, Nicolucci A, Pellegrini F, Saglimbene V, Logroscino G, Fishbane S, Strippoli GF. Prevalence of depression in chronic kidney disease: systematic review and meta-analysis of observational studies. Kidney Int. 2013 Jul;84(1):179-91. doi: 10.1038/ki.2013.77. Epub 2013 Mar 13.

Reference Type RESULT
PMID: 23486521 (View on PubMed)

Other Identifiers

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ATADEK-2022/06

Identifier Type: -

Identifier Source: org_study_id

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