Depression in the elderly in Vellore, South India: the use of a two-question screen

Screening tools for common mental disorders in older adults in South Asia: a systematic scoping review

OBJECTIVES

Common mental disorders (CMDs), particularly depression, are major contributors to the global mental health burden. South Asia, while diverse, has cultural, social, and economic challenges, which are common across the region, not least an aging population. This creates an imperative to better understand how CMD affects older people in this context, which relies on valid and culturally appropriate screening and research tools. This review aims to scope the availability of CMD screening tools for older people in South Asia. As a secondary aim, this review will summarize the use of these tools in epidemiology, and the extent to which they have been validated or adapted for this population.

DESIGN

A scoping review was performed, following PRISMA guidelines. The search strategy was developed iteratively in Medline and translated to Embase, PsychInfo, Scopus, and Web of Science. Data were extracted from papers in which a tool was used to identify CMD in a South Asian older population (50+), including validation, adaptation, and use in epidemiology. Validation studies meeting the criteria were critically appraised using the Quality Assessment of Diagnostic Accuracy Studies - version 2 (QUADAS-2) tool.

RESULTS

Of the 4694 papers identified, 176 met the selection criteria at full-text screening as relevant examples of diagnostic or screening tool use. There were 15 tool validation studies, which were critically appraised. Of these, 10 were appropriate to evaluate as diagnostic tests. All of these tools assessed for depression. Geriatric Depression Scale (GDS)-based tools were predominant with variable diagnostic accuracy across different settings. Methodological issues were substantial based on the QUADAS-2 criteria. In the epidemiological studies identified (n = 160), depression alone was assessed for 82% of the studies. Tools lacking cultural validation were commonly used (43%).

CONCLUSIONS

This review identifies a number of current research gaps including a need for culturally relevant validation studies, and attention to other CMDs such as anxiety.

Risk factors for severity of depression in participants with chronic medical conditions in rural primary health care settings in India

Background

Depression and chronic medical disorders are strongly linked. There are limited studies addressing the correlates of the severity of depression in patients with co-morbid disorders in primary care settings. This study aimed to identify the socio-demographic and disease-specific risk factors associated with the severity of depression at baseline among patients participating in a randomized controlled trial (HOPE study).

Methods

Participants were part of a randomized controlled trial in 49 primary care health centers in rural India. We included adults (≥ 30 years) with at least mild Depression or Anxiety Disorder and at least one Cardiovascular disorder or Type 2 Diabetes mellitus. They were assessed for the severity of depression using the PHQ-9, severity of anxiety, social support, number of co-morbid chronic medical illnesses, anthropometric measurements, HbA1c, and lipid profile.

Results

Proportionately there were more women in the moderate category of depression than men. Ordinal logistic regression showed co-morbid anxiety and a lower level of education significantly increased the odds of more severe depression, while more social support was significantly negatively associated with depression severity in women. In men, anxiety was positively associated with greater depression severity; while reporting more social support was negatively associated with depression.

Limitations

This is a cross-sectional study and thus, no causal conclusions are possible.

Conclusions

Anxiety and poor social support in both genders and lower educational levels in women were associated with increased severity of depression. Early identification of risk factors and appropriate treatment at a primary care setting may help in reducing the morbidity and mortality associated with depression.

Mental health problems among youth in India and its correlates

Purpose

– The purpose of this paper is to assess the prevalence and socio-economic determinants of common mental disorders among youth in India.

Design/methodology/approach

– The study utilizes data from “Youth in India: Situation and Needs 2006-2007”. One-way analysis of variance is used to compare different groups. Poisson regression models are used to test the relationship of household, parental, and individual factors with mental health problems.

Findings

– An estimated 11-31 million youth suffer from reported mental health problems in India. Results suggest that the household and individual factors like place of residence, wealth quintile, age, education, and occupation are the most important determinants of mental health problems among Indian youth. Parental factors lose their statistical significance once individual factors are controlled.

Research limitations/implications

– Little is known about correlates of mental health among youth. Strengthening on-going programmes and creating awareness about mental health issues through various programmes may help improve scenario. The two limitations of the study are: first, data covering all the states would have given a broader and clear picture of the issue; and second, due to cross-sectional nature of the data the study is not able to look into the cause-effect relationship.

Originality/value

– There are few studies which have explored mental health problems covering smaller areas in India. This is the first and the largest study conducted on a representative population of Indian youth to determine the correlates of reported mental health problems using General Health Questionnaire-12.

Diagnostic accuracy of the Whooley questions for the identification of depression: a diagnostic meta-analysis

OBJECTIVES

To determine the diagnostic accuracy of the Whooley questions in the identification of depression; and, to examine the effect of an additional 'help' question.

DESIGN

Systematic review with random effects bivariate diagnostic meta-analysis. Search strategies included electronic databases, examination of reference lists, and forward citation searches.

INCLUSION CRITERIA

Studies were included that provided sufficient data to calculate the diagnostic accuracy of the Whooley questions against a gold standard diagnosis of major depression.

DATA EXTRACTION

Descriptive information, methodological quality criteria, and 2 × 2 contingency tables were extracted.

RESULTS

Ten studies met inclusion criteria. Pooled sensitivity was 0.95 (95% CI 0.88 to 0.97) and pooled specificity was 0.65 (95% CI 0.56 to 0.74). Heterogeneity was low (I(2)=24.1%). Primary care subgroup analysis gave broadly similar results. Four of the ten studies provided information on the effect of an additional help question. The addition of this question did not consistently improve specificity while retaining high sensitivity as reported in the original validation study.

CONCLUSIONS

The two-item Whooley questions have high sensitivity and modest specificity in the detection of depression. The current evidence for the use of an additional help question is not consistent and there is, as yet, insufficient data to recommend its use for screening or case finding.

TRIAL REGISTRATION NUMBER

CRD42014009695.

Prevalence of psychiatric morbidity amongst the community dwelling rural older adults in northern India

BACKGROUND & OBJECTIVES

The population of elderly is growing globally and so are the physical illnesses and psychiatric morbidity. This study was planned to assess the prevalence and patterns of psychiatric morbidity amongst rural older adults in Lucknow, north India.

METHODS

A survey was conducted in subjects aged 60 yr and above to identify the cases of psychiatric morbidity in rural population from randomly selected two revenue blocks of Lucknow district, Uttar Pradesh, India. All subjects were screened through Hindi Mental Status Examination (HMSE) and Survey Psychiatric Assessment Schedule (SPAS) to identify for the suspected cases of cognitive and the psychiatric disorders, respectively. The subjects screened positive on HMSE and SPAS were assessed in detail on Cambridge Mental Disorder of the Elderly Examination-Revised (CAMDEX-R) and Schedule for Clinical Assessment in Neuropsychiatry (SCAN), to diagnose cognitive disorders and psychiatric disorders (other than the cognitive), respectively on the basis of International Classification of Diseases-10 (ICD-10) diagnostic guidelines.

RESULTS

The overall prevalence of psychiatric morbidity in rural older adults was found to be 23.7 per cent (95% CI=21.89-25.53). Mood (affective) disorders were the commonest (7.6%, 95% CI=6.51-8.80), followed by mild cognitive impairment (4.6%, 95% CI=3.72-5.53), mental and behavioural disorders due to substance use (4.0%, 95% CI=3.17-4.87) and dementia (2.8%) [Alzheimer's disease (2.4%, 95% CI=1.81-3.16) and vascular (0.4%, 95% CI=0.16-0.73)].

INTERPRETATION & CONCLUSIONS

Overall prevalence of psychiatric morbidity amongst rural elderly in this study was found to be less in comparison to those reported in earlier studies from India. However, prevalence pattern of different disorders was found to be similar. Therefore, it appears that a stringent methodology, refined case criteria for diagnosis and assessment by trained professionals restrict false diagnosis.

International comparison of clinicians' ability to identify depression in primary care: meta-analysis and meta-regression of predictors

BACKGROUND

There are international differences in the epidemiology of depression and the performance of primary care physicians but the factors underlying these national differences are uncertain.

AIM

To examine the international variability in diagnostic performance of primary care physicians when diagnosing depression in primary care.

DESIGN OF STUDY

A meta-analysis of unassisted clinical diagnoses against semi-structured interviews.

METHOD

A systematic literature search, critical appraisal, and pooled analysis were conducted and 25 international studies were identified involving 8917 individuals. A minimum of three independent studies per country were required to aid extrapolation.

RESULTS

Clinicians in the Netherlands performed best at case finding (the ability to rule in cases of depression with minimal false positives) (AUC+ 0.735) and this was statistically significantly better than the ability of clinicians in Australia (AUC+ 0.622) and the US (AUC+ 0.653), who were the worst performers. Clinicians from Italy had intermediate case-finding abilities. Regarding screening (the ability to rule out cases of no depression with minimal false negatives) there were no strong differences. Looking at overall accuracy, primary care physicians in Italy and the Netherlands were most successful in their diagnoses and physicians from the US and Australia least successful (83.5%, 81.9%, 74.3%, and 67.0%, respectively). GPs in the UK appeared to have the lowest ability to detect depression, as a proportion of all cases of depression (45.6%; 95% CI = 27.7% to 64.2%). Several factors influenced detection accuracy including: collecting data on clinical outcomes; routinely comparing the clinical performance of staff; working in small practices; and having long waits to see a specialist.

CONCLUSION

Assuming these differences are representative, there appear to be international variations in the ability of primary care physicians to diagnose depression, but little differences in screening success. These might be explained by organisational factors.

Caregiver Burden and Quality of Life of Older Persons With Stroke

This article reports a preliminary investigation in India of the association between caregiver burden and quality of life (QOL) in older persons with stroke after controlling for disability, depression, and sociodemographic factors. A cross-sectional analysis was carried out with 46 stroke patients attending a community hospital in India. The primary outcome variable was patient QOL assessed using the World Health Organization Quality of Life questionnaire–short form (WHOQOL-Bref). The primary explanatory variable was caregiver burden, assessed using the Zarit Inventory. Patient economic dissatisfaction ( F = 6.12, p = .04), patient depression ( F = 20.8, p < .001), and caregiver burden ( F = 7.36, p = .009) were found to be associated with lower patient QOL. Caregiver burden was independently associated with lower patient QOL after controlling for patient depression, disability, and economic dissatisfaction (standardized B coefficient = −0.28, p = .03). The level of caregiver burden was a significant correlate of QOL after stroke. Implications for future studies and practice are discussed.

Prevalence of depression in a large urban South Indian population--the Chennai Urban Rural Epidemiology Study (CURES-70)

BACKGROUND

In India there are very few population based data on prevalence of depression. The aim of the study was to determine the prevalence of depression in an urban south Indian population.

METHODS AND FINDINGS

Subjects were recruited from the Chennai Urban Rural Epidemiology Study (CURES), involving 26,001 subjects randomly recruited from 46 of the 155 corporation wards of Chennai (formerly Madras) city in South India. 25,455 subjects participated in this study (response rate 97.9%). Depression was assessed using a self-reported and previously validated instrument, the Patient Health Questionnaire (PHQ) - 12. Age adjustment was made according to the 2001 census of India. The overall prevalence of depression was 15.1% (age-adjusted, 15.9%) and was higher in females (females 16.3% vs. males 13.9%, p<0.0001). The odds ratio (OR) for depression in female subjects was 1.20 [Confidence Intervals (CI): 1.12-1.28, p<0.001] compared to male subjects. Depressed mood was the most common symptom (30.8%), followed by tiredness (30.0%) while more severe symptoms such as suicidal thoughts (12.4%) and speech and motor retardation (12.4%) were less common. There was an increasing trend in the prevalence of depression with age among both female (p<0.001) and male subjects (p<0.001). The prevalence of depression was higher in the low income group (19.3%) compared to the higher income group (5.9%, p<0.001). Prevalence of depression was also higher among divorced (26.5%) and widowed (20%) compared to currently married subjects (15.4%, p<0.001).

CONCLUSIONS

This is the largest population-based study from India to report on prevalence of depression and shows that among urban south Indians, the prevalence of depression was 15.1%. Age, female gender and lower socio-economic status are some of the factors associated with depression in this population.