Development and validation of an instrument to detect depression in nursing homes. Nursing homes short depression inventory (NH-SDI)

The External Validation of the Nursing Homes Short Depression Inventory in Older Adults with Major Neurocognitive Disorders in Long-Term Care Centers

INTRODUCTION

Depression is often difficult to detect in long-term care (LTC) patients with major neurocognitive disorders (MNCD), and an observer-rated screening scale could facilitate assessments. This study aimed to establish the external validity and reliability of the Nursing Homes Short Depression Inventory (NH-SDI) in LTC patients with MNCD and to compare its estimates to the Cornell Scale for Depression in Dementia (CSDD), the most used scale for depression in MNCD.

METHODS

A focus discussion group of experts assessed the content validity of the NH-SDI. Then, a convenience sample of 93 LTC patients with MNCD was observer-rated by trained nurses with the NH-SDI and CSDD. For 57 patients, a medical assessment of depression was obtained, and screening accuracy estimates were generated.

RESULTS

The prevalence of depression was 8.8% as per reference standard. NH-SDI's content validity was judged acceptable with minor item wording modifications and specifications. The NH-SDI (cut-off ≥3) achieved 100% (95% confidence interval [CI]: 46-100%) sensitivity, 83% (95% CI: 69-91%) specificity, and 36% (95% CI: 14-64%) positive predictive value (PPV). The CSDD (cut-off ≥3) achieved 100% (95% CI: 46-100%) sensitivity, 75% (95% CI: 61-86%) specificity, and 28% (95% CI: 11-54%) PPV. No significant differences in areas under the receiver operating characteristic curve were found between scales. The NH-SDI and CSDD were highly correlated (rs = 0.913; p < 0.001) and reliable (ICC = 0.77; p < 0.001).

CONCLUSION

The NH-SDI appears valid and reliable in LTC patients with MNCD and quicker than the CSDD to rule out depression in a busy or short-staffed setting.

Detecting depression in persons living in long-term care: a systematic review and meta-analysis of diagnostic test accuracy studies

OBJECTIVE

Depressive disorders are common in long-term care (LTC), however, there is no one process used to detect depressive disorders in this setting. Our goal was to describe the diagnostic accuracy of depression detection tools used in LTC settings.

METHODS

We conducted a systematic review and meta-analysis of diagnostic accuracy measures. The databases PubMed, EMBASE, PsycINFO and CINAHL were searched from inception to 10 September 2021. Studies involving persons living in LTC, assisted living residences or facilities, comparing diagnostic accuracy of depression tools with a reference standard, were included. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was used to assess risk of bias.

RESULTS

We identified 8,463 citations, of which 20 studies were included in qualitative synthesis and 19 in meta-analysis. We identified 23 depression detection tools (including different versions) that were validated against a reference standard. At a cut-off point of 6 on the Geriatric Depression Scale-15 (GDS-15), the pooled sensitivity was 73.6% (95% confidence interval (CI) 43.9%-76.5%), specificity was 76.5% (95% CI 62.9%-86.7%), and an area under the curve was 0.83. There was significant heterogeneity in these analyses. There was insufficient data to conduct meta-analysis of other screening tools. The Nursing Homes Short Depression Inventory (NH-SDI) had a sensitivity ranging from 40.0% to 98.0%. The 4-item Cornell Scale for Depression in Dementia (CSDD) had the highest sensitivity (67.0%-90.0%) for persons in LTC living with dementia.

CONCLUSIONS

There are 23 tools validated for detection of depressive disorders in LTC, with the GDS-15 being the most studied. Tools developed specifically for use in LTC settings include the NH-SDI and CSDD-4, which provide briefer options to screen for depression. However, more studies of both are needed to examine tool accuracy using meta-analyses.

Despite Symptom Severity, do Nursing Home Residents Experience Joy-of-Life? The Associations Between Joy-of-Life and Symptom Severity in Norwegian Nursing Home Residents

Background: Finding new approaches to increase health and well-being among nursing home (NH) residents is highly warranted. From a holistic perspective, several Norwegian municipalities have implemented the certification scheme framed "Joy-of-Life Nursing Home" Aims: In a holistic perspective on NH care, this study investigated if NH residents despite potential symptom severity experience joy-of-life (JoL). Therefore, we examined the frequency of common symptoms and the association between common symptoms and JoL in cognitively intact NH residents. Methods: A cross-sectional design was employed. Using the QLQ-C15-PAL quality-of-life questionnaire, hospital anxiety and depression scale, and JoL scale, a total of 188 cognitively intact NH residents participated. Results: Symptom severity was high; 54% reported fatigue, 52% reported constipation, 45% reported pain, 43% reported dyspnea, 32% reported insomnia, 22% reported appetite loss, and 20% reported nausea, while 20% reported anxiety and 23% reported depressive symptoms. Nevertheless, 59% of the NH residents reported high JoL, which was significantly positively related to the quality of life and negatively associated with anxiety and depression.

Clinical update on nursing home medicine: 2013

This is the seventh article in the series of Clinical Updates on Nursing Home Care. The topics covered are antiresorptive drugs, hip fracture, hypertension, orthostatic hypotension, depression, undernutrition, anorexia, cachexia, sarcopenia, exercise, pain, and behavioral and psychological symptoms of dementia.

The validity of the Montgomery-Aasberg depression rating scale as a screening tool for depression in later life

BACKGROUND

The aims of the study were to examine the validity of the MADRS and to compare it with the validity of the Cornell Scale for Depression in Dementia (CSDD).

METHODS

We included 140 patients without dementia, with mean age 81.5 (sd 7.7) years. Trained psychiatric nurses interviewed all of them using the MADRS. In addition, for 70 patients caregivers were interviewed using the CSDD. A psychiatrist who had no access to the MADRS or the CSDD results made a diagnosis of depression according to the DSM-IV criteria for major depression, and the ICD-10 criteria was also applied for the 70 patients assessed with the CSDD.

RESULTS

Twenty-two out of the 140 had depression according to the DSM IV criteria, whereas 25 out of 70 had depression according to the ICD-10 criteria. The area under the curve (auc) in a receiver operating characteristic analysis was 0.86 (95% CI 0.79-0.93) for the MADRS using the DSM-IV criteria. The best cut-off point was 16/17 with sensitivity of 0.80 and specificity of 0.82. The AUC for the CSDD was 0.83 (95% CI 0.71-0.95). The recommended cut-off score on the CSDD of 7/8 was valid but not the best in this study.

LIMITATIONS

The patients were diagnosed with a diagnosis of depression by only one psychiatrist, and the procedures in the two centres were not exactly the same.

CONCLUSIONS

The MADRS has good discriminating power to detect depression in elderly persons and should be preferred to the CSDD for use with persons without dementia.

Correlates of agitation and depression in nursing home residents with dementia

BACKGROUND

The purpose of this study was to investigate the relationship between dementia severity, age, gender, and prescription of psychotropics, and syndromes of agitation and depression in a sample of nursing home residents with dementia.

METHODS

The Cohen-Mansfield Agitation Inventory (CMAI) was administered to residents with dementia (N = 304) of 18 nursing homes. Agitation symptoms were clustered using factorial analysis. Depression was estimated using the Dementia Mood Assessment Scale (DMAS). Dementia severity was assessed categorically using predefined cut-off scores derived from the Mini-Mental State Examination (MMSE). The relationship between agitation and its sub-syndromes, depression, and dementia severity was calculated using χ 2-statistics. Linear regression analyses were used to calculate the effect of dementia severity and psychotropic prescriptions on agitation and depression, controlling for age and gender.

RESULTS

Increasing stages of dementia severity were associated with higher risk for physically aggressive (p < 0.001) and non-aggressive (p < 0.01) behaviors, verbally agitated behavior (p < 0.05), and depression (p < 0.001). Depressive symptoms were associated with physically aggressive (p < 0.001) and verbally agitated (p < 0.05) behaviors, beyond the effects of dementia severity. Prescription of antipsychotics was correlated with depression and all agitation sub-syndromes except hiding and hoarding.

CONCLUSIONS

Dementia severity is a predictor for agitation and depression. Beyond that, depression increased with dementia severity, and the severity of depression was associated with both physically and verbally aggressive behaviors, indicating that, in advanced stages of dementia, depression in some patients might underlie aggressive behavior.