Depression is associated with high impact on health-related quality of life (HRQoL). Health state valuations are used for cost-effectiveness analysis to provide results for health-policy interventions.

The study aims to estimate a population-based value set of depression described by Patient Health Questionnaire (PHQ-9). We intend to assess vignettes describing PHQ-9 health states to estimate utility values

Current research elicited direct utility scores using time trade-off (TTO) method obtained from the Hungarian general population (N=2,000). TTO vignettes were created to describe hypothetical health states of depression based on the nine items of PHQ-9. The hypothetical health states were sorted orthogonally in 11 blocks, each containing 4 vignettes (combinations of no; mild; moderate; severe depression). All respondents valued the four health states of one randomly given block. Conventional TTO method was applied, using a 10-year timeframe, while the first iteration step was randomized to 1,3 and 5 year. Preference weights were estimated using regression model fitted to TTO utility results.

Altogether 1,999 respondents valued overall 34 different health states. The mean age was 47.3 (16.9) years, the majority was female (57.2%). Nearly half of the respondents were secondary educated 45.4%, 27.3% higher educated and 27.2% completed primary school. The mean TTO utility of selected mild, moderate and severe depression was: 0.83; 0.82 and 0.77 respectively.

Our results constitute the first population-based value set for PHQ-9. Utility scores give useful information for cost-effectiveness assessments. Estimates provide preference-based quality of life weights for the Hungarian population.

No significant relationships.

The objective of this research is to identify sociodemographic predictors of depression for a rural population in the US during the COVID-19 pandemic to enhance mental health disaster preparedness.

This study uses t-tests to differentiate between gender and ethnicity groups regarding depression status; binary logistic regression to identify socio-demographic characteristics that predict depression status; and t-test to differentiate between average depression scores, measured by the PHQ-9, pre-COVID-19 pandemic (2019) and after it’s start (2020).

Results indicate that men were less likely than women to report depression. Clients who identified as Latinx/Hispanic were 2.8 times more likely than non-Hispanics to report depression and clients who did not reside in public housing were 19.9% less likely to report depression. There was a statistically significant difference between mean PHQ-9 scores pre- and post-pandemic, with pre-pandemic scores lower on average, with a small effect size.

Building on findings from this study, we propose ways to increase rural access to mental health services, through equitable access to telemedicine, to meet the needs of rural clients to increase disaster preparedness.

With the unprecedented spread of the novel SARS-CoV-2 coronavirus, primary healthcare workers (PHCWs) are having to shoulder the increasing weight of this ongoing pandemic.

This study explored the rate and covariates of depressive symptoms among PHCWs in the Muscat governorate.

A cross-sectional online survey was conducted from 10 May to 10 June 2020 among PHCWs working in all primary healthcares across the Muscat governorate. Data on sociodemographic and risk factors of having at least one underlying physical health condition, a psychiatric history, family history of psychiatric disorders, and direct involvement with COVID-19 positive patients were sought. The Patient Health Questionnaire (PHQ-9) was then used to solicit the presence of depressive symptoms. Those with a cutoff point ≥10 were considered as showing depressive symptoms. Logistic regression was used to determine risk factors associated with depressive symptoms in PHCWs after adjusting for all sociodemographic factors.

A total of 432 (72%) out of 600 PHCWs with an average age of 39.2 years (SD = 7.8 years) ranging between 25.0 and 75.0 years responded to the survey. There were more females (n = 281, 65.3%) than males, and more than 45% (n = 195) of them were physicians. Additionally, more than 78% (n = 338) had been in contact with COVID-19 patients. There was a significant association between different age groups and profession (P < .001), having at least one underlying physical health condition (P = 0.001) and depressive symptom status (P = 0.038). A total of 78 out of the 423 subjects (18.1%) were considered to have depressive symptoms. After adjusting for all factors, the logistic regression model showed that an age of 34 years or below (OR = 2.079, P = 0.021) and having at least one underlying physical health condition (OR = 2.216, P = 0.007) were factors contributing significantly to depressive symptoms among the PHCWs.

The mental health of slum residents is under-researched globally, and depression is a significant source of worldwide morbidity. Brazil's large slum-dwelling population is often considered part of a general urban-poor demographic. This study aims to identify the prevalence and distribution of depression in Brazil and compare mental health inequalities between slum and non-slum populations.

Data were obtained from Brazil's 2019 National Health Survey. Slum residence was defined based on the UN-Habitat definition for slums and estimated from survey responses. Doctor-diagnosed depression, Patient Health Questionnaire (PHQ-9)-screened depression and presence of undiagnosed depression (PHQ-9-screened depression in the absence of a doctor's diagnosis) were analysed as primary outcomes, alongside depressive symptom severity as a secondary outcome. Prevalence estimates for all outcomes were calculated. Multivariable logistic regression models were used to investigate the association of socioeconomic characteristics, including slum residence, with primary outcomes. Depressive symptom severity was analysed using generalised ordinal logistic regression.

Nationally, the prevalence of doctor diagnosed, PHQ-9 screened and undiagnosed depression were 9.9% (95% confidence interval (CI): 9.5–10.3), 10.8% (95% CI: 10.4–11.2) and 6.9% (95% CI: 6.6–7.2), respectively. Slum residents exhibited lower levels of doctor-diagnosed depression than non-slum urban residents (8.6%; 95% CI: 7.9–9.3 v. 10.7%; 95% CI: 10.2–11.2), while reporting similar levels of PHQ-9-screened depression (11.3%; 95% CI: 10.4–12.1 v. 11.3%; 95% CI: 10.8–11.8). In adjusted regression models, slum residence was associated with a lower likelihood of doctor diagnosed (adjusted odds ratio (adjusted OR): 0.87; 95% CI: 0.77–0.97) and PHQ-9-screened depression (adjusted OR: 0.87; 95% CI: 0.78–0.97). Slum residents showed a greater likelihood of reporting less severe depressive symptoms. There were significant ethnic/racial disparities in the likelihood of reporting doctor-diagnosed depression. Black individuals were less likely to report doctor-diagnosed depression (adjusted OR: 0.66; 95% CI: 0.57–0.75) than white individuals. A similar pattern was observed in Mixed Black (adjusted OR: 0.72; 95% CI: 0.66–0.79) and other (adjusted OR: 0.63; 95% CI: 0.45–0.88) ethnic/racial groups. Slum residents self-reporting a diagnosis of one or more chronic non-communicable diseases had greater odds of exhibiting all three primary depression outcomes.

Substantial inequalities characterise the distribution of depression in Brazil including in slum settings. People living in slums may have lower diagnosed rates of depression than non-slum urban residents. Understanding the mechanisms behind the discrepancy in depression diagnosis between slum and non-slum populations is important to inform health policy in Brazil, including in addressing potential gaps in access to mental healthcare.

Under-diagnosis of depression is a concerning problem for Latvia. According to our previous research at least 115 000 new cases have to be diagnosed each year, but the data of National Health Service show that most of the cases remain undiagnosed and untreated.

To determine the point prevalence of depressive episode and associated factors in Latvian general population.

Computer assisted face-to-face interviews were carried out between November 2019 and March 2020 to gather information on a representative sample of the Latvian adult population (n=2687). The study sample was selected using a stratified random sampling method. The participants were interviewed using the Patient Health Questionnaire-9; a score of ≥10 was defined as indicating the presence of a clinically relevant depressive symptoms. Multinomial logistic regression was applied.

There were 1238 males (46.1%) and 1449 females (53.9%) recruited. Mean age of respondents was 49.9 (SD 18.2). The point prevalence of depressive episode in general population was 6.5% with statistically significant difference between genders: 4.8% in men and 7.7% in women (p=0.02). Lower level of education (p<0.001) and unemployment (p=0.01) were statistically significant associated factors for depressive episode among women. The odds of having depressive episode were higher in male urban dwellers (p=0.03) (but not in the capital city) and in man, who live separately, are divorced or widowed (p=0.004).

Females, especially unemployed women and those with unfinished education, are at particular significant risk of depression, which should be adressed in developing prevention strategy and screening programmes of depression.

As a consequence of the impact of COVID-19 there are suggestions and projections that suicide rates will rise, although this is not inevitable. It is intriguing what impact it will have on Kosovo as a country with the lowest suicide rate in Europe.

The objective of this study was to understand the level of suicidal thinking as a result of the COVID-19 situation and possible associations with sociodemographic variables.

It’s a comparative study. We examined data of two cross-sectional online surveys conducted during the one-month periods 20.03.20 until 23.04.20 and 27.04.2020 until 05.06.2020. The participants were online respondents, N = 194 (first period) and N = 155 (second period); who completed the Albanian version of PHQ-9. We used the statement number 9 of questionnaire indicative of suicide.

Mean score of suicidal thinking resulted 0.58 (SD = .98) in the first period and 0.84 (SD = 1.16) in the second period. 10.1% of participants in March/April and 18.2% in May/June period scored that almost every day thoughts that would be better off dead, or of hurting yourself in some way. Significantly higher suicidal thinking resulted for females and for respondents who had previously had depression in both periods. Compared to two previous studies (2018 and 2019) in different settings only the results of the second period show an increase in suicidal thinking.

Further studies are needed to better scientifically elaborate these findings. It is important enhanced surveillance of COVID-19-related risk factors contributing to suicidal behaviors and timely preventive efforts.

No significant relationships.

The Patient Health Questionnaire (PHQ-9), the Beck Depression Inventory (BDI-II) and the Generalised Anxiety Disorder Assessment (GAD-7) are widely used in the evaluation of interventions for depression and anxiety. The smallest reduction in depressive symptoms that matter to patients is known as the Minimum Clinically Important Difference (MCID). Little empirical study of the MCID for these scales exists.

A prospective cohort of 400 patients in UK primary care were interviewed on four occasions, 2 weeks apart. At each time point, participants completed all three questionnaires and a ‘global rating of change’ scale (GRS). MCID estimation relied on estimated changes in symptoms according to reported improvement on the GRS scale, stratified by baseline severity on the Clinical Interview Schedule (CIS-R).

For moderate baseline severity, those who reported improvement on the GRS had a reduction of 21% (95% confidence interval (CI) −26.7 to −14.9) on the PHQ-9; 23% (95% CI −27.8 to −18.0) on the BDI-II and 26.8% (95% CI −33.5 to −20.1) on the GAD-7. The corresponding threshold scores below which participants were more likely to report improvement were −1.7, −3.5 and −1.5 points on the PHQ-9, BDI-II and GAD-7, respectively. Patients with milder symptoms require much larger reductions as percentage of their baseline to endorse improvement.

An MCID representing 20% reduction of scores in these scales, is a useful guide for patients with moderately severe symptoms. If treatment had the same effect on patients irrespective of baseline severity, those with low symptoms are unlikely to notice a benefit.

Funding. National Institute for Health Research.

A possible role of vitamin D in the pathophysiology of depression is currently speculative, with more rigorous research needed to assess this association in large adult populations. The current study assesses prospective associations between vitamin D status and depression in middle-aged adults enrolled in the UK Biobank.

We assessed prospective associations between vitamin D status at the baseline assessment (2006–2010) and depression measured at the follow-up assessment (2016) in 139 128 adults registered with the UK Biobank.

Amongst participants with no depression at baseline (n = 127 244), logistic regression revealed that those with vitamin D insufficiency [adjusted odds ratio (aOR) = 1.14, 95% confidence interval (CI) = 1.07–1.22] and those with vitamin D deficiency (aOR = 1.24, 95% CI 1.13–1.36) were more likely to develop new-onset depression at follow-up compared with those with optimal vitamin D levels after adjustment for a wide range of relevant covariates. Similar prospective associations were reported for those with depression at baseline (n = 11 884) (insufficiency: aOR = 1.11, 95% CI 1.00–1.23; deficiency: aOR = 1.30, 95% CI 1.13–1.50).

The prospective associations found between vitamin D status and depression suggest that both vitamin D deficiency and insufficiency might be risk factors for the development of new-onset depression in middle-aged adults. Moreover, vitamin D deficiency (and to a lesser extent insufficiency) might be a predictor of sustained depressive symptoms in those who are already depressed. Vitamin D deficiency and insufficiency is very common, meaning that these findings have significant implications for public health.

Depression is a common disorder characterized by delayed help-seeking, often remaining undetected and untreated.

We sought to estimate the proportion of adults in Kamuli District with depressive symptoms and to assess their help-seeking behaviour.

This was a population-based cross-sectional study conducted in a rural district in Uganda. Sampling of study participants was done using the probability proportional to size method. Screening for depression was done using Patient Health Questionnaire (PHQ-9). The participants who screened positive also reported on whether and where they had sought treatment. Data collected using PHQ-9 was used both as a symptom-based description of depression and algorithm diagnosis of major depression. All data analysis was done using STATA version 13.

With a cut-off score of ⩾10, 6.4% screened positive for current depressive symptoms and 23.6% reported experiencing depressive symptoms in the past 12 months. The majority of individuals who screened positive for current depression (75.6%) were females. In a crude analysis, people with lower education, middle age and low socio-economic status were more likely to have depressive symptoms. Help-seeking was low, with only 18.9% of the individuals who screened positive for current depression having sought treatment from a health worker.

Depressive symptoms are common in the study district with low levels of help-seeking practices. People with lower levels of education, low socio-economic status and those in middle age are more likely to be affected by these symptoms. Most persons with current depression had past history of depressive symptoms.

Integration of mental health services into nonspecialist settings is expanding in low and middle income countries (LMICs). Among many factors required for success, such programs require reliable administration of mental health screening tools. While several tools have been validated in carefully conducted research studies, few studies have assessed how reliably nonspecialist clinicians administer these tools to low-literacy LMIC populations in routine care.

Ninety-seven patients accessing human immunodeficiency virus primary care in Malawi who completed Patient Health Questionnaire (PHQ)-9 depression screening with their clinician then completed a second PHQ-9 with a trained research assistant (RA) blinded to the first result.

Compared to clinicians, RAs identified more patients with any depressive symptoms (PHQ-9 score ⩾5: 38% v. 32%), moderate/severe symptoms (PHQ-9 ⩾ 10: 14% v. 6%), any suicidality (14% v. 4%), and active suicidality (3% v. 2%). Across these indicators, clinician and RA ratings had strong overall agreement (81–97%) but low corrected Kappa agreement (31–59%). Treating RA results as the reference standard of a carefully supervised research administration of the PHQ-9, clinician administration had high specificity (90–99%) but low sensitivity (23–68%) for these indicators.

In routine care in LMICs, clinicians may administer validated mental health screening tools with varying quality. To ensure quality, integration programs must incorporate appropriate and ongoing training, support, supervision, and monitoring.

Depression is a clinically heterogeneous disorder. Previous large-scale genetic studies of depression have explored genetic risk factors of depression case–control status or aggregated sums of depressive symptoms, ignoring possible clinical or genetic heterogeneity.

We analyse data from 148 752 subjects of white British ancestry in the UK Biobank who completed nine items of a self-rated measure of current depressive symptoms: the Patient Health Questionnaire (PHQ-9). Genome-Wide Association analyses were conducted for nine symptoms and two composite measures. LD Score Regression was used to calculate SNP-based heritability (h2SNP) and genetic correlations (rg) across symptoms and to investigate genetic correlations with 25 external phenotypes. Genomic structural equation modelling was used to test the genetic factor structure across the nine symptoms.

We identified nine genome-wide significant genomic loci (8 novel), with no overlap in loci across symptoms. h2SNP ranged from 6% (concentration problems) to 9% (appetite changes). Genetic correlations ranged from 0.54 to 0.96 (all p < 1.39 × 10−3) with 30 of 36 correlations being significantly smaller than one. A two-factor model provided the best fit to the genetic covariance matrix, with factors representing ‘psychological’ and ‘somatic’ symptoms. The genetic correlations with external phenotypes showed large variation across the nine symptoms.

Patterns of SNP associations and genetic correlations differ across the nine symptoms, suggesting that current depressive symptoms are genetically heterogeneous. Our study highlights the value of symptom-level analyses in understanding the genetic architecture of a psychiatric trait. Future studies should investigate whether genetic heterogeneity is recapitulated in clinical symptoms of major depression.

Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9.

We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy.

16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (−0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01).

PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

HIV-positive individuals are at significantly increased risk of depression. In low- and middle-income countries, depression is frequently under-detected, hampered by a lack of data regarding available screening tools. The 5-item World Health Organization Well-Being Index (WHO-5) is widely used to screen for depression, yet its validity in African adults with HIV has yet to be examined.

In this cross-sectional study, we enrolled HIV-positive adults presenting to an outpatient HIV clinic in Mwanza, Tanzania. Patients were administered the Patient Health Questionnaires (PHQ)-2/9 and WHO-5 questionnaires. The rate of positive screens was calculated. Fisher's exact test and Pearson's correlation coefficients between PHQ-2/9 and WHO-5 scores were calculated.

We enrolled 72 HIV-positive adults: rates of positive depression screen were 62.5%, 77.8%, and 47.2% according to PHQ-2, PHQ-9, and WHO-5, respectively. PHQ and WHO results for depression were significantly associated (Fisher's exact test: PHQ-2 v. WHO-5, p = 0.028; PHQ-9 v. WHO-5, p = 0.002). The level of correlation between PHQ and WHO results for depression was moderate (Pearson's correlation coefficient: PHQ-2 v. WHO-5 −0.3289; PHQ-9 v. WHO-5 −0.4463).Per Mantel–Haenszel analysis, screening results were significantly more concordant among patients in the following strata: men, age >40, Sukuma ethnicity, Christian, unmarried, self-employed, at least primary school education completed, and higher than the median income level.

WHO-5 scores correlated well with those of the PHQ-9, suggesting that the WHO-5 represents a valid screening tool. The concordance of PHQ-9 and WHO-5 results was poorer in marginalized socioeconomic groups. Positive depression screens were exceedingly common among HIV-positive Tanzanian adults according to all three questionnaires.

The integration of behavioral health services into primary care has led to enhanced use of brief screening measures to identify mental health problems. Although useful, such instruments are largely symptom based and diagnosis specific. This narrow focus can potentially limit the identification of broader social or relational distress in patients that affect medical outcomes, as well as present feasibility challenges using a multi-measure approach in identifying mental health comorbidities.

This exploratory study of adult primary care patients compared an ultra-brief, and widely used measure of global distress across life functioning, the Outcome Rating Scale (ORS), with the Patient Health Questionnaire (PHQ-9 and PHQ-2).

Correlations between the ORS and the PHQ-9 and PHQ-2 indicated agreement between the measures in classifying patients, and the ORS identified significantly more patients in the clinical range.

Although results are preliminary, the ORS may cast a wider net in identifying patients with significant distress in primary care.

The prevalence of depression in rural Ugandan communities is high and yet detection and treatment of depression in the primary care setting is suboptimal. Short valid depression screening measures may improve detection of depression. We describe the validation of the Luganda translated nine- and two-item Patient Health Questionnaires (PHQ-9 and PHQ-2) as screening tools for depression in two rural primary care facilities in Eastern Uganda.

A total of 1407 adult respondents were screened consecutively using the nine-item Luganda PHQ. Of these 212 were randomly selected to respond to the Mini International Neuropsychiatric Interview diagnostic questionnaire. Descriptive statistics for respondents’ demographic characteristics and PHQ scores were generated. The sensitivity, specificity and positive predictive values (PPVs), and area under the ROC curve were determined for both the PHQ-9 and PHQ-2.

The optimum trade-off between sensitivity and PPV was at a cut-off of ≧5. The weighted area under the receiver Operating Characteristic curve was 0.74 (95% CI 0.60–0.89) and 0.68 (95% CI 0.54–0.82) for PHQ-9 and PHQ-2, respectively.

The Luganda translation of the PHQ-9 was found to be modestly useful in detecting depression. The PHQ-9 performed only slightly better than the PHQ-2 in this rural Ugandan Primary care setting. Future research could improve on diagnostic accuracy by considering the idioms of distress among Luganda speakers, and revising the PHQ-9 accordingly. The usefulness of the PHQ-2 in this rural population should be viewed with caution.