Abstract

BackgroundDepression is common mental health problem and leading contributor to the global burden of disease. The attitudes and beliefs of the public and of health professionals influence social acceptance and affect the esteem and help-seeking of people experiencing mental health problems. The attitudes of clinicians are particularly relevant to their role in accurately recognising and providing appropriate support and management of depression. This study examines the characteristics of the revised depression attitude questionnaire (R-DAQ) with doctors working in healthcare settings in Lahore, Pakistan.MethodsA cross-sectional survey was conducted in 2015 using the revised depression attitude questionnaire (R-DAQ). A convenience sample of 700 medical practitioners based in six hospitals in Lahore was approached to participate in the survey. The R-DAQ structure was examined using Parallel Analysis from polychoric correlations. Unweighted least squares analysis (ULSA) was used for factor extraction. Model fit was estimated using goodness-of-fit indices and the root mean square of standardized residuals (RMSR), and internal consistency reliability for the overall scale and subscales was assessed using reliability estimates based on Mislevy and Bock (BILOG 3 Item analysis and test scoring with binary logistic models. Mooresville: Scientific Software, 55) and the McDonald’s Omega statistic. Findings using this approach were compared with principal axis factor analysis based on Pearson correlation matrix.Results601 (86%) of the doctors approached consented to participate in the study. Exploratory factor analysis of R-DAQ scale responses demonstrated the same 3-factor structure as in the UK development study, though analyses indicated removal of 7 of the 22 items because of weak loading or poor model fit. The 3 factor solution accounted for 49.8% of the common variance. Scale reliability and internal consistency were adequate: total scale standardised alpha was 0.694; subscale reliability for professional confidence was 0.732, therapeutic optimism/pessimism was 0.638, and generalist perspective was 0.769.ConclusionsThe R-DAQ was developed with a predominantly UK-based sample of health professionals. This study indicates that this scale functions adequately and provides a valid measure of depression attitudes for medical practitioners in Pakistan, with the same factor structure as in the scale development sample. However, optimal scale function necessitated removal of several items, with a 15-item scale enabling the most parsimonious factor solution for this population.

Highlights

  • Depression is common mental health problem and leading contributor to the global burden of disease

  • Mental health problems are a major cause of disability throughout the world: the World Health Organization (WHO) global burden of diseases study (2013) indicates that nearly a quarter (21.2%) of global years lived with disability (YLDs) are caused by mental and substance abuse disorders [1]

  • This study reports the first use of the revised depression attitude questionnaire (R-DAQ) [25] with doctors working in Lahore, Pakistan

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Summary

Introduction

Depression is common mental health problem and leading contributor to the global burden of disease. Depressive disorder carries the heaviest burden of all the mental disorders, and is the second leading cause of global disability by YLD (after low back pain) It occurs in all world regions and affects people of all ages, accounting for 8.2% of global YLDs [2]. Depression is two to three times more common in people with long-term medical conditions such as asthma, cardiovascular disease, cancer, and diabetes [3], with WHO World Health Survey findings, based on 245,000 people in 60 countries, indicating it occurs in 9–18% of people with such conditions [4] It adversely affects the course and prognosis of these illnesses, compounding the disability and impaired life quality that people experience. Because of its relatively high prevalence and the extent of its comorbid association with medical conditions, depression is frequently encountered in primary care and general medical settings

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