Nurse Assessment Tools for Recognizing Depression in Diabetes Patients : A Descriptive Literature Review
Peralta, Trisha Nicole Flores; Valtonen, Vanessa Cueva Pastor de (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024102526815
https://urn.fi/URN:NBN:fi:amk-2024102526815
Tiivistelmä
The purpose of the thesis was to identify the assessment tools available to nurses for recognizing depression in diabetes patients. The aim of this thesis was to improve the knowledge of healthcare professionals regarding depression in diabetes patients and contribute to improved patient outcomes and care for individuals experiencing comorbid depression and diabetes.
This bachelor’s thesis is a descriptive literature review that utilized a directed and summative content analysis approach. Our research foundation was based on reputable academic databases and e-resources provided by Metropolia University of Applied Sciences. PubMed, CINAHL-EBSCO, and Google Scholar are the databases used in this descriptive review.
Our final sample included 18 articles. An analysis of these articles answered our research questions "What are the assessment tools that can be used to recognize depression in diabetes patients?" and “How depression can be recognized in diabetes patients?” To answer these questions, we employed inductive content analysis to systematically analyze and categorize relevant information from the 18 articles identified through the database searches. This process allowed us to generate sub-categories and main-categories that are reflected in our results, providing a structured understanding of the various assessment tools and protocols used to recognize depression in diabetes patients.
Our analysis showed that nurses can use self-report questionnaires to recognize depression in diabetes patients. In particular, our analysis identified the Patient Health Questionnaire-9 (PHQ-9) and its variations as widely used and validated tools for recognizing depression in diabetes patients. These self-report questionnaires were found to be reliable across diverse cultural and healthcare settings. Additionally, the analysis highlighted the potential of structured depression screening protocols in primary care, which facilitate early detection and timely intervention. However, challenges remain, including inconsistent adherence to these protocols and resource constraints in clinical practice. These findings underscore the need for ongoing research and improved implementation strategies.
In conclusion, depression screening in patients with diabetes is a complex attempt due to the overlapping symptoms of these conditions and the potential pitfall of assessing diabetes distress rather than true depression. Healthcare professionals should consider a holistic approach, taking into account both the emotional burden of diabetes and the potential for true clinical depression. Future research and tool development should aim to refine the screening process, minimizing false-positives and ensuring that individuals receive accurate diagnoses and appropriate care.
This bachelor’s thesis is a descriptive literature review that utilized a directed and summative content analysis approach. Our research foundation was based on reputable academic databases and e-resources provided by Metropolia University of Applied Sciences. PubMed, CINAHL-EBSCO, and Google Scholar are the databases used in this descriptive review.
Our final sample included 18 articles. An analysis of these articles answered our research questions "What are the assessment tools that can be used to recognize depression in diabetes patients?" and “How depression can be recognized in diabetes patients?” To answer these questions, we employed inductive content analysis to systematically analyze and categorize relevant information from the 18 articles identified through the database searches. This process allowed us to generate sub-categories and main-categories that are reflected in our results, providing a structured understanding of the various assessment tools and protocols used to recognize depression in diabetes patients.
Our analysis showed that nurses can use self-report questionnaires to recognize depression in diabetes patients. In particular, our analysis identified the Patient Health Questionnaire-9 (PHQ-9) and its variations as widely used and validated tools for recognizing depression in diabetes patients. These self-report questionnaires were found to be reliable across diverse cultural and healthcare settings. Additionally, the analysis highlighted the potential of structured depression screening protocols in primary care, which facilitate early detection and timely intervention. However, challenges remain, including inconsistent adherence to these protocols and resource constraints in clinical practice. These findings underscore the need for ongoing research and improved implementation strategies.
In conclusion, depression screening in patients with diabetes is a complex attempt due to the overlapping symptoms of these conditions and the potential pitfall of assessing diabetes distress rather than true depression. Healthcare professionals should consider a holistic approach, taking into account both the emotional burden of diabetes and the potential for true clinical depression. Future research and tool development should aim to refine the screening process, minimizing false-positives and ensuring that individuals receive accurate diagnoses and appropriate care.