Improving the assessment of depression remission with the Remission Evaluation and Mood Inventory Tool

Knowledge of HIV Status Is Associated With a Decrease in the Severity of Depressive Symptoms Among Female Sex Workers in Uganda and Zambia

BACKGROUND

Knowledge of HIV-positive status may result in depressive symptoms, which may be a concern to scaling novel HIV testing interventions that move testing outside the health system and away from counselor support.

SETTING

Uganda and Zambia.

METHODS

We used longitudinal data from 2 female sex worker (FSW) cohorts in Uganda (n = 960) and Zambia (n = 965). Over 4 months, participants had ample opportunity to HIV testing using standard-of-care services or self-tests. At baseline and 4 months, we measured participants' perceived knowledge of HIV status, severity of depressive symptoms (continuous PHQ-9 scale, 0-27 points), and prevalence of likely depression (PHQ-9 scores ≥10). We estimated associations using individual fixed-effects estimation.

RESULTS

Compared with unknown HIV status, knowledge of HIV-negative status was significantly associated with a decrease in depressive symptoms of 1.06 points in Uganda (95% CI -1.79 to -0.34) and 1.68 points in Zambia (95% CI -2.70 to -0.62). Knowledge of HIV-positive status was significantly associated with a decrease in depressive symptoms of 1.01 points in Uganda (95% CI -1.82 to -0.20) and 1.98 points in Zambia (95% CI -3.09 to -0.88). The prevalence of likely depression was not associated with knowledge of HIV status in Uganda but was associated with a 14.1% decrease with knowledge of HIV-negative status (95% CI -22.1% to -6.0%) and a 14.3% decrease with knowledge of HIV-positive status (95% CI -23.9% to -4.5%) in Zambia.

CONCLUSIONS

Knowledge of HIV status, be it positive or negative, was significantly associated with a decrease in depressive symptoms in 2 FSW populations. The expansion of HIV testing programs may have mental health benefits for FSWs.

Assessing depression improvement with the remission evaluation and mood inventory tool (REMIT)

OBJECTIVE

The Remission Evaluation and Mood Inventory Tool (REMIT) was developed as a brief complementary measure to provide a more robust assessment of depression improvement than tracking DSM-V symptom improvement alone. This study provides further validation of the REMIT tool and examines its utility in predicting depression improvement.

METHODS

The sample comprised 294 primary care patients enrolled in a telecare trial of pain plus depression and/or anxiety. Assessments collected included: REMIT, PHQ-9 and measures assessing anxiety, pain, sleep, fatigue, somatization, health-related quality of life and disability. Data was analyzed to assess the REMIT's validity, its minimally important difference (MID), and its utility in predicting 6-month depression improvement.

RESULTS

Convergent and construct validity of REMIT was supported by moderate correlations with mental health measures and weaker correlation with physical health measures. MID of approximately 2 points for REMIT was estimated by two metrics: 0.5 standard deviation and 1 standard error of measurement. Both baseline and 3-month change in REMIT scores predicted depression improvement at 6 months. Indeed, REMIT was as good or better predictor than the PHQ-9.

CONCLUSION

The REMIT measure is a brief 5-item tool that augments core DSM-V symptom-oriented metrics in assessing and predicting recovery from major depression.

Comparing five depression measures in depressed Chinese patients using item response theory: an examination of item properties, measurement precision and score comparability

Background

Item response theory (IRT) has been increasingly applied to patient-reported outcome (PRO) measures. The purpose of this study is to apply IRT to examine item properties (discrimination and severity of depressive symptoms), measurement precision and score comparability across five depression measures, which is the first study of its kind in the Chinese context.

Methods

A clinical sample of 207 Hong Kong Chinese outpatients was recruited. Data analyses were performed including classical item analysis, IRT concurrent calibration and IRT true score equating. The IRT assumptions of unidimensionality and local independence were tested respectively using confirmatory factor analysis and chi-square statistics. The IRT linking assumptions of construct similarity, equity and subgroup invariance were also tested. The graded response model was applied to concurrently calibrate all five depression measures in a single IRT run, resulting in the item parameter estimates of these measures being placed onto a single common metric. IRT true score equating was implemented to perform the outcome score linking and construct score concordances so as to link scores from one measure to corresponding scores on another measure for direct comparability.

Results

Findings suggested that (a) symptoms on depressed mood, suicidality and feeling of worthlessness served as the strongest discriminating indicators, and symptoms concerning suicidality, changes in appetite, depressed mood, feeling of worthlessness and psychomotor agitation or retardation reflected high levels of severity in the clinical sample. (b) The five depression measures contributed to various degrees of measurement precision at varied levels of depression. (c) After outcome score linking was performed across the five measures, the cut-off scores led to either consistent or discrepant diagnoses for depression.

Conclusions

The study provides additional evidence regarding the psychometric properties and clinical utility of the five depression measures, offers methodological contributions to the appropriate use of IRT in PRO measures, and helps elucidate cultural variation in depressive symptomatology. The approach of concurrently calibrating and linking multiple PRO measures can be applied to the assessment of PROs other than the depression context.