Validation of Malay Diabetes Quality of Life Questionnaire for Adults

| Posted in: Science

Journal name: The Malaysian Journal of Medical Sciences
Original article title: Validation of the Malay version of Diabetes Quality of Life (DQOL) Questionnaire for Adult Population with Type 2 Diabetes Mellitus
The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access journal published online at least six times a year. It covers all aspects of medical sciences and prioritizes high-quality research.
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Original source:

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Author:

Mohamad Adam Bujang, Mastura Ismail, Nur Khairul Bariyyah Mohd Hatta, Siti Haslina Othman, Nurakmal Baharum, Siti Sara Mat Lazim


The Malaysian Journal of Medical Sciences:

(A peer-reviewed, open-access journal)

Full text available for: Validation of the Malay version of Diabetes Quality of Life (DQOL) Questionnaire for Adult Population with Type 2 Diabetes Mellitus

Year: 2017 | Doi: 10.21315/mjms2017.24.4.10

Copyright (license): CC BY 4.0


Download the PDF file of the original publication


Summary of article contents:

Introduction

Diabetes mellitus (DM) is a significant health concern in Malaysia, with over 2.6 million adults diagnosed with the condition, according to the National Health and Morbidity Survey (NHMS) 2011. As diabetes can lead to various long-term complications, it adversely affects the quality of life (QoL) of those living with the condition. Recognizing the importance of patient-reported outcomes such as QoL, this study aimed to validate the Malay version of the Diabetes Quality of Life (DQOL) questionnaire specifically for Malaysian adults diagnosed with type 2 diabetes mellitus.

Assessing Quality of Life in Diabetic Patients

The validation process of the Malay version of the DQOL involved a comprehensive methodology that included translation, content testing, and statistical analysis to ascertain its reliability and validity. The questionnaire consists of 46 items spanning three major domains: Satisfaction, Impact, and Worry. In a study involving 290 participants, the internal consistency of the questionnaire was strong, with Cronbach's alpha coefficients ranging from 0.846 to 0.941 across the different domains. Furthermore, correlations were found between the Impact Domain and HbA1c levels, as well as associations between diabetes-related complications and the Worry Domain, confirming that the quality of life among patients is significantly influenced by both clinical outcomes and psychological factors.

Conclusion

The findings from this study demonstrate that the Malay version of the DQOL questionnaire is a valid and reliable tool for assessing the quality of life in Malaysian adults with diabetes mellitus. This validated instrument can aid clinicians and researchers in better understanding the patient experience and the factors impacting their quality of life. The strong internal consistency and the positive correlation between clinical outcomes and QoL underscore the importance of integrating patient-reported measures into diabetes care, thereby allowing for more holistic management strategies and improved health outcomes for individuals living with diabetes.

FAQ section (important questions/answers):

What was the objective of the study on DQOL questionnaire?

The study aimed to validate the Malay version of the Diabetes Quality of Life (DQOL) questionnaire specifically for Malaysian adults with type 2 diabetes mellitus, ensuring its reliability and relevance for the local population.

How was the Malay version of DQOL validated?

The validation involved a cross-sectional study that included translation, pilot testing for face validity, and assessing the final version's reliability and validity through statistical analysis among diabetic patients.

What were the key findings related to the DQOL domains?

The three main domains of the DQOL questionnaire—Satisfaction, Impact, and Worry—showed good internal consistency, with Cronbach’s alpha coefficients ranging from 0.846 to 0.941, indicating the instrument’s reliability.

What associations were found with HbA1c and diabetic complications?

The study found a positive correlation between HbA1c and the Impact Domain, while diabetic complications, particularly retinopathy and nephropathy, were associated with increased worry regarding future health outcomes.

Glossary definitions and references:

Scientific and Ayurvedic Glossary list for “Validation of Malay Diabetes Quality of Life Questionnaire for Adults”. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.

1) Life:
Life refers to the state of being alive, characterized by growth, reproduction, and the ability to respond to stimuli. In the context of diabetes, quality of life measures how individuals experience their existence, particularly concerning health outcomes, emotional well-being, and social interactions that diabetes impacts.

2) Quality:
Quality signifies the standard or degree of excellence of something. In healthcare, 'quality' often relates to the effectiveness of medical interventions and services, influencing patient outcomes and satisfaction. In diabetes management, assessing the quality of life is crucial for understanding the disease's holistic effects on patients.

3) Table:
Table denotes a systematic arrangement of data, typically organized into rows and columns for easy reference and analysis. In medical research, tables summarize data findings, allowing quicker interpretations of results. This presentation enhances clarification of statistics, such as demographic profiles of study participants and correlations evaluated.

4) Study (Studying):
Study refers to a systematic investigation or analysis aimed at discovering or understanding underlying principles. It encompasses methodologies for gathering and interpreting data. In the context of the validated DQOL questionnaire, conducting a study enables healthcare professionals to gauge the quality of life among diabetic patients.

5) Worry (Worried, Worrying):
Worry is a state of anxiety or concern about potential negative outcomes. In diabetes research, worry is particularly relevant as patients may experience stress regarding their health, future complications, and the impact of diabetes on daily life. Understanding worry helps assess mental health aspects connected to chronic conditions.

6) Disease:
Disease refers to a pathological condition of a bodily part or system resulting from various causes, often characterized by specific signs and symptoms. In diabetes, the disease affects not only physical health but also mental well-being, necessitating comprehensive disease management that includes quality of life assessments.

7) Reliability:
Reliability indicates the consistency and dependability of a measure or instrument. In research, it ensures that results are repeatable across time and context. The reliability of the DQOL questionnaire is crucial for confirming that this tool effectively captures the quality of life of Malaysian diabetic patients accurately.

8) Education:
Education encompasses the process of imparting knowledge, skills, and values. In the diabetes context, education related to disease management is fundamental for empowering patients. Informed patients can better manage their condition, improve their quality of life, and adhere to treatment protocols through adequate education and support.

9) Rules:
Rules refer to explicit regulations or guidelines governing behavior or procedures. In a research context, established rules ensure the study is conducted ethically and efficiently. They guide methodology, participant selection, data processing, and analysis in clinical trials, maintaining the integrity of scientific investigation and outcomes.

10) Language:
Language is a system of communication using sounds, symbols, or gestures. It is vital for understanding and conveying medical information. In studies involving diverse populations, like the Malaysian diabetic context, language translation ensures that questionnaires are culturally and linguistically appropriate, enabling accurate data collection from participants.

11) Indian:
Indian refers to individuals from India or of Indian descent. In health studies, it is crucial to consider ethnic backgrounds, as genetics, lifestyle, and cultural factors can significantly influence health outcomes. Investigating diabetes among Indian populations aids in understanding how ethnicity affects disease management and quality of life.

12) Male:
Male denotes a gender classification typically associated with biological attributes such as XY chromosomes. In medical research, understanding gender differences is critical as they can influence disease prevalence, symptoms, treatment responses, and quality of life. Analyzing male participants in diabetes studies reveals insights into gender-specific health challenges.

13) Measurement:
Measurement is a process of quantifying attributes using established standards. In healthcare, it involves assessing patients' health status and outcomes. Accurate measurements of quality of life in diabetes provide essential data to understand the effectiveness of treatments and the overall impact of the disease on patients' lives.

14) Depression:
Depression is a mental health disorder characterized by persistent feelings of sadness and loss of interest. It often coexists with chronic diseases like diabetes, impacting patients' quality of life. Understanding the relationship between diabetes and depression is crucial for comprehensive care plans addressing both physical and mental health.

15) King:
King may refer to a person of authority or leadership. In the context of research, it symbolizes opinions or perceptions, such as when assessing the importance of certain factors in managing diabetes. This emphasizes patient-centered approaches in care, highlighting their essential roles in decisions about their health.

16) Discussion:
Discussion is a process where ideas or information are exchanged through conversation. In research, discussions contribute to interpreting study findings, exploring implications, and suggesting future directions for investigation. Engaging stakeholders in discussions about diabetes studies helps integrate findings into practice and policymaking for enhanced patient care.

17) Developing:
Developing refers to the process of growth, progress, or advancement. In healthcare research, developing interventions or tools like the DQOL questionnaire aims to enhance patient outcomes. Continuous development in medical practices ensures that healthcare providers meet evolving patient needs, improving the management of chronic conditions like diabetes.

18) Alcoholism:
Alcoholism denotes a chronic disorder characterized by excessive drinking and dependence on alcohol. In diabetes research, understanding the interplay between alcoholism and diabetes management is crucial because alcohol affects blood sugar levels, complicating treatment adherence and overall health. Assessing these factors aids in providing comprehensive patient support.

19) Attending:
Attending refers to the action of being present, especially in a specific context, such as medical appointments or educational sessions. For diabetic patients, regularly attending healthcare appointments is vital for their management plan, where they receive guidance, education, and support to improve their quality of life and treatment outcomes.

20) Medicine:
Medicine encompasses the science and practice of diagnosing, treating, and preventing disease. It plays a pivotal role in managing chronic conditions like diabetes. Advances in medicine contribute to better disease management strategies, aimed at improving patient outcomes, quality of life, and overall health through innovative treatments.

21) Activity:
Activity refers to the engagement in actions or exercises, including physical and social dimensions. In diabetes care, promoting physical activity is essential for managing blood sugar levels and enhancing overall well-being. Encouraging patients to participate in regular activities significantly affects their physical and mental health outcomes.

22) Wisdom:
Wisdom denotes the ability to make sound judgments based on knowledge and experience. In medical contexts, wisdom is crucial for healthcare providers as they navigate complex patient needs. Incorporating wisdom into diabetes management enhances care quality and leads to better patient outcomes informed by evidence-based practices.

23) Family:
Family represents a social unit often providing support, care, and emotional well-being. In diabetes management, family involvement is crucial as it affects patients' adherence to treatment regimens and coping strategies. Understanding family dynamics aids healthcare professionals in designing patient-centered approaches that enhance lifestyle modifications and overall care.

24) Sharman (Sarma, Sharma, Sarman):
Sharma may refer to a specific individual or name commonly found in South Asian contexts. In research, acknowledging diverse cultural names emphasizes the importance of inclusivity and representation. Identifying diverse authors and contributors to diabetes studies enriches the understanding and integration of cultural perspectives in healthcare research.

25) Mita:
Mita is another common name, particularly in South Asian communities. Similar to other names, recognizing contributors like Mita in research emphasizes the collaborative nature of healthcare and research endeavors. It highlights the diverse cultural contexts that inform approaches to chronic disease management, such as diabetes.

26) Saya (Shaya):
Saya translates to 'I' or 'me' in Malay, indicating personal identity and involvement. In patient-centered healthcare discussions, acknowledging individual experiences through 'saya' emphasizes the importance of personal narratives in understanding health conditions. This language promotes effective communication between healthcare providers and diabetic patients about their unique needs.

27) Pose:
Pose refers to presenting or placing in a specific way. In medical contexts, it might indicate how specific questions or assessments are structured. Posing questions appropriately in surveys or studies, like the DQOL questionnaire, is crucial to gather relevant and accurate data reflecting patients' experiences of living with diabetes.

28) Pain:
Pain is an unpleasant sensory and emotional experience often associated with injury or disease. In diabetes, chronic pain can result from complications such as neuropathy. Understanding pain's impact is essential for improving management strategies and quality of life, focusing on comprehensive care that addresses both physical and psychological effects.

29) Psychosis:
Psychosis is a severe mental disorder characterized by a disconnection from reality, often involving hallucinations or delusions. In diabetes management, understanding the potential impact of psychosis is crucial as it relates to treatment adherence. Awareness of mental health conditions affects overall care approaches for diabetic patients.

30) Nature:
Nature refers to the inherent characteristics or qualities of something. In chronic disease management like diabetes, understanding the nature of the disease encompasses biological, psychological, and social aspects. Comprehending the multifaceted nature of diabetes is vital for developing comprehensive treatment plans that address all patient dimensions and needs.

31) Hand:
Hand symbolizes the act of reaching out and interacting. In diabetes care, healthcare professionals 'hand' their patients tools and strategies for managing their condition. Offering guidance and support, represented by the hand, emphasizes the collaborative approach essential in chronic disease management and empowering patients toward better health outcomes.

32) Post:
Post often signifies a communication method or informs others about findings or updates. In medical research, posting results can enhance awareness of study outcomes. Sharing knowledge post-study contributes to the broader understanding of diabetes management approaches, fostering discussions on findings that can impact clinical practice and patient care.

33) Pur:
Poor indicates inferior quality or insufficient condition. In diabetes healthcare outcomes, poor quality of life can result from inadequate management, lack of resources, or socioeconomic factors. Recognizing and addressing the factors contributing to poor outcomes is essential for healthcare interventions aimed at improving patients' overall health and lived experiences.

Other Science Concepts:

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Discover the significance of concepts within the article: ‘Validation of Malay Diabetes Quality of Life Questionnaire for Adults’. Further sources in the context of Science might help you critically compare this page with similair documents:

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