Patient-Centered Revisions to the DSM-5

Depression, stigma and social isolation: the psychosocial trifecta of primary chronic cutaneous lupus erythematosus, a cross-sectional and path analysis

Objective

Depression is common in individuals with chronic cutaneous lupus erythematosus (CCLE). However, how CCLE may impact patients’ psychological well-being is poorly understood, particularly among disproportionally affected populations. We examined the relationships between depression and psychosocial factors in a cohort of predominantly Black patients with primary CCLE (CCLE without systemic manifestations).

Methods

Cross-sectional assessment of individuals with dermatologist-validated diagnosis of primary CCLE. NIH-PROMIS short-forms were used to measure depression, disease-related stigma, social isolation and emotional support. Linear regression analyses (ɑ=0.05) were used to test an a priori conceptual model of the relationship between stigma and depression and the effect of social isolation and emotional support on that association.

Results

Among 121 participants (87.6% women; 85.1% Black), 37 (30.6%) reported moderate to severe depression. Distributions of examined variables divided equally among those which did (eg, work status, stigma (more), social isolation (more), emotional support (less)) and did not (eg, age, sex, race, marital status) significantly differ by depression. Stigma was significantly associated with depression (b=0.77; 95% CI0.65 to 0.90), whereas social isolation was associated with both stigma (b=0.85; 95% CI 0.72 to 0.97) and depression (b=0.70; 95% CI0.58 to 0.92). After controlling for confounders, stigma remained associated with depression (b=0.44; 95% CI0.23 to 0.66) but lost significance (b=0.12; 95% CI −0.14 to 0.39) when social isolation (b=0.40; 95% CI 0.19 to 0.62) was added to the model. Social isolation explained 72% of the total effect of stigma on depression. Emotional support was inversely associated with depression in the univariate analysis; however, no buffer effect was found when it was added to the multivariate model.

Conclusion

Our findings emphasise the psychosocial challenges faced by individuals living with primary CCLE. The path analysis suggests that stigmatisation and social isolation might lead to depressive symptoms. Early clinical identification of social isolation and public education demystifying CCLE could help reduce depression in patients with CCLE.

Cross-sectional study of the effects of self-efficacy on fatigue and pain interference in black women with systemic lupus erythematosus: the role of depression, age and education

Objective

While fatigue and pain are pervasive symptoms in SLE, self-efficacy can mitigate their intensity and impact on patients’ daily activity. We examined the relationships of these domains and their interactions with demographics and depression in black women with SLE.

Methods

This is a cross-sectional analysis of data collected among 699 black women with SLE. We used validated, self-reported measures of fatigue, pain interference, symptom self-efficacy, treatment self-efficacy and depression. Linear regression analyses were conducted to examine the relationships between each outcome (fatigue and pain interference) and each predictor (symptom self-efficacy and treatment self-efficacy), and the interaction of demographics and depression.

Results

We found inverse associations between fatigue and each of symptom self-efficacy (slope −0.556, p<0.001) and treatment self-efficacy (slope −0.282, p<0.001), as well as between pain interference and each of symptom self-efficacy (slope −0.394, p<0.001) and treatment self-efficacy (slope −0.152, p<0.001). After adjusting for confounders, symptom self-efficacy remained significantly associated with each outcome (adjusted slope −0.241 (p<0.001) and −0.103 (p=0.008) for fatigue and pain, respectively). The amount of decrease in fatigue and pain interference differed by depression severity (p<0.05 for the interaction of symptom self-efficacy and depression). The difference in fatigue by depression widened as symptom self-efficacy increased; the adjusted fatigue scores for moderate/severe depression compared with no depression were 6.8 and 8.7 points higher at mean and high symptom self-efficacy, respectively (p<0.001). Age and education significantly changed the relationship between outcomes and self-efficacy.

Conclusions

Symptom self-efficacy and treatment self-efficacy were inversely related to fatigue and pain interference in black women with SLE. Depression disproportionately increased the intensity of these outcomes. While older women with low symptom self-efficacy reported disproportionately higher pain interference, those with higher education and mean or high levels of symptom self-efficacy reported lower pain interference. These findings may help predict who might benefit most from self-efficacy-enhancing interventions.

Why Mental Illness Diagnoses Are Wrong: A Pilot Study on the Perspectives of the Public

BACKGROUND

Mental illness diagnostic criteria are made based on assumptions. This pilot study aims to assess the public's perspectives on mental illness diagnoses and these assumptions.

METHODS

An anonymous survey with 30 questions was made available online in 2021. Participants were recruited via social media, and no personal information was collected. Ten questions focused on participants' perceptions regarding mental illness diagnoses, and 20 questions related to the assumptions of mental illness diagnoses. The participants' perspectives on these assumptions held by professionals were assessed.

RESULTS

Among 14 survey participants, 4 correctly answered the relationships of 6 symptom pairs (28.57%). Two participants could not correctly conduct the calculations involved in mood disorder diagnoses (14.29%). Eleven (78.57%) correctly indicated that 2 or more sets of criteria were available for single diagnoses of mental illnesses. Only 1 (7.14%) correctly answered that the associations between symptoms and diagnoses were supported by including symptoms in the diagnostic criteria of the diagnoses. Nine (64.29%) correctly answered that the diagnosis variances were not fully explained by their symptoms. The confidence of participants in the major depressive disorder diagnosis and the willingness to take medications for this diagnosis were the same (mean = 5.50, standard deviation [SD] = 2.31). However, the confidence of participants in the symptom-based diagnosis of non-solid brain tumor was significantly lower (mean = 1.62, SD = 2.33, p < 0.001).

CONCLUSION

Our study found that mental illness diagnoses are wrong from the perspectives of the public because our participants did not agree with all the assumptions professionals make about mental illness diagnoses. Only a minority of our participants obtained correct answers to the calculations involved in mental illness diagnoses. In the literature, neither patients nor the public have been engaged in formulating the diagnostic criteria of mental illnesses.

Chronic Cutaneous Lupus Erythematosus: Depression Burden and Associated Factors

OBJECTIVES

Depression may occur in up to 30% of individuals with cutaneous lupus erythematosus (CLE), many of whom may also have systemic manifestations. Chronic cutaneous lupus erythematosus (CCLE) conditions are less likely to present systemic involvement than acute and subacute conditions but more often cause permanent scarring and dyspigmentation. However, little is known about depression in those who have CCLE confined to the skin (primary CCLE). As African Americans are at high risk for primary CCLE and depression, we aimed to investigate the prevalence of and explore the risk factors for depression in a population-based cohort of predominantly Black patients with primary CCLE.

METHODS

This was a cross-sectional analysis of a cohort of individuals with a documented diagnosis of primary CCLE, established in metropolitan Atlanta, GA, USA. Participants were recruited from the Centers for Disease Control and Prevention (CDC) population-based Georgia Lupus Registry, multicenter dermatology clinics, community practices, and self-referrals. The Patient-Reported Outcomes Measurement Information System (PROMIS) was used to measure the primary outcome: depressive symptoms. Stand-alone questions were used to assess sociodemographics and healthcare utilization. Emotional, informational, and instrumental support were measured with PROMIS short forms, interpersonal processes of care with the IPC-29 survey, and skin-related quality of life with the Skindex-29+ tool.

RESULTS

Of 106 patients, 92 (86.8%) were female, 91 (85.8%) were Black, 45 (42.9%) were unemployed or disabled, and 28 (26.4%) reported moderate to severe depressive symptoms. Depression severity was lower in patients who were aged ≥ 60 years, were married, or had graduated from college. Univariate analysis showed that being employed (odds ratio [OR] 0.24; 95% confidence interval [CI] 0.10-0.61), insured (OR 0.23; 95% CI 0.09-0.60), reporting higher instrumental, informational, and emotional support (OR 0.75; 95% CI 0.60-0.94; OR 0.62; 95% CI 0.49-0.78; and OR 0.48; 95% CI 0.35-0.65, respectively), visiting a primary care physician in the last year (OR 0.16; 95% CI 0.04-0.61) and reporting better physician-patient interactions (OR 0.56; 95% CI 0.37-0.87) were negatively associated with depression. Patient's perception of staff disrespect (OR 2.30; 95% CI 1.19-4.47) and worse skin-related quality of life (OR 1.04; 95% CI 1.02-1.06) rendered higher risk. In multivariate analysis, only perception of staff disrespect (OR 2.35; 95% CI 1.06-5.17) and lower emotional support (OR 0.48; 95% CI 0.35-0.66) remained associated with depression.

CONCLUSION

Over one-quarter of a predominantly Black population-based cohort of individuals with primary CCLE reported moderate to severe depression, a rate three to five times higher than described previously in the general population from the same metropolitan Atlanta area. Our findings suggest that, while patient's perception of discrimination in the healthcare setting may play a role as a determinant of depression, social support may be protective. In addition to routine mental health screening and depression treatment, interventions directed at providing emotional support and improving office staff interpersonal interactions may contribute to reduce the risk of depression in patients with CCLE.

Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression

Interest in measuring patient-reported outcomes has increased dramatically in recent decades. This has simultaneously produced numerous assessment options and confusion. In the case of depressive symptoms, there are many commonly used options for measuring the same or a very similar concept. Public and professional reporting of scores can be confused by multiple scale ranges, normative levels, and clinical thresholds. A common reporting metric would have great value and can be achieved when similar instruments are administered to a single sample and then linked to each other to produce cross-walk score tables (e.g., Dorans, 2007; Kolen & Brennan, 2004). Using multiple procedures based on item response theory and equipercentile methods, we produced cross-walk tables linking 3 popular "legacy" depression instruments-the Center for Epidemiologic Studies Depression Scale (Radloff, 1977; N = 747), the Beck Depression Inventory-II (Beck, Steer, & Brown, 1996; N = 748), and the 9-item Patient Health Questionnaire (Kroenke, Spitzer, & Williams, 2001; N = 1,120)-to the depression metric of the National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS; Cella et al., 2010). The PROMIS Depression metric is centered on the U.S. general population, matching the marginal distributions of gender, age, race, and education in the 2000 U.S. census (Liu et al., 2010). The linking relationships were evaluated by resampling small subsets and estimating confidence intervals for the differences between the observed and linked PROMIS scores; in addition, PROMIS cutoff scores for depression severity were estimated to correspond with those commonly used with the legacy measures. Our results allow clinicians and researchers to retrofit existing data of 3 popular depression measures to the PROMIS Depression metric and vice versa.

Establishing a common metric for self-reported anxiety: linking the MASQ, PANAS, and GAD-7 to PROMIS Anxiety

Researchers and clinicians wishing to assess anxiety must choose from among numerous assessment options, many of which purport to measure the same or a similar construct. A common reporting metric would have great value and can be achieved when similar instruments are administered to a single sample and then linked to each other to produce cross-walk score tables. Using item response theory (IRT), we produced cross-walk tables linking three popular "legacy" anxiety instruments--MASQ (N=743), GAD-7 (N=748), and PANAS (N=1120)--to the anxiety metric of the NIH Patient Reported Outcomes Measurement Information System (PROMIS(®)). The linking relationships were evaluated by resampling small subsets and estimating confidence intervals for the differences between the observed and linked PROMIS scores. Our results allow clinical researchers to retrofit existing data of three commonly used anxiety measures to the PROMIS Anxiety metric and to compare clinical cut-off scores.