| Literature DB >> 33640866 |
William E Mansbach1, Ryan A Mace1, Melissa A Tanner1.
Abstract
BACKGROUND: Older adults are at high risk for developing serious somatic and psychological symptoms associated with COVID-19. Currently available instruments may not be sensitive to the concerns about COVID-19 in postacute and long-term care and their applications in telehealth remain to be clarified.Entities:
Keywords: COVID-19; burden; coping; depression; elderly; long-term care; mental health; mood; nursing homes; older adults; risk; scale; self-assessment; stress; telehealth
Year: 2021 PMID: 33640866 PMCID: PMC8081160 DOI: 10.2196/26340
Source DB: PubMed Journal: JMIR Aging ISSN: 2561-7605
Select demographics and clinical characteristics (N=131).
| Variable | Value, n (%) | |
| Age (years), mean (SD) | 76.12 (11.05) | |
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| Female | 69 (52.67) | |
| Male | 62 (47.33) | |
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| White | 110 (83.97) | |
| Black | 14 (10.69) | |
| Other | 4 (3.05) | |
| Missing | 3 (2.29) | |
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| Single | 23 (17.56) | |
| Married | 14 (10.69) | |
| Widowed | 52 (39.69) | |
| Separated | 6 (4.58) | |
| Divorced | 34 (25.95) | |
| Missing | 2 (1.53) | |
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| ≤11 | 18 (13.74) | |
| 12 | 55 (41.98) | |
| 13-15 | 22 (16.79) | |
| 16 | 17 (12.98) | |
| ≥17 | 14 (10.69) | |
| Missing | 5 (3.82) | |
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| Skilled nursing | 87 (66.41) | |
| Assisted living | 44 (33.59) | |
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| No dementia | 10 (7.63) | |
| MCIa | 67 (51.15) | |
| Mild dementia | 54 (41.12) | |
| Telehealth delivery | 43 (31.82) | |
| COVID-19 distress | 67 (51.15) | |
aMCI: mild cognitive impairment.
Descriptive statistics of the various study measures used.
| Study measure | n (%) | Mean (SD) | Minimum | Maximum | Skewness | Kurtosis |
| M5a | 131 (100) | 3.60 (2.86) | 0 | 10 | 0.57 | −0.59 |
| BCATb | 70 (53.4) | 34.61 (6.38) | 22 | 46 | −0.05 | −1.02 |
| BADSc AFd | 110 (83.9) | 2.70 (1.78) | 0 | 6 | 0.47 | −0.75 |
| BADS DFe | 110 (83.9) | 3.31 (3.01) | 0 | 10 | 0.68 | −0.59 |
aM5: Mood-5 Scale.
bBCAT: Brief Cognitive Assessment Tool.
cBADS: Brief Anxiety and Depression Scale.
dAF: Anxiety Factor of BADS.
eDF: Depression Factor of BADS.
Correlation analysis (Pearson r and two-tailed P values) among the study measures.
| Measure | M5a | BCAT b | BADSc AFd | BADS DFe | |
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| 1 | 0.17 | 0.49 | 0.56 | |
| —f | .15 | <.001 | <.001 | ||
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| 0.17 | 1 | 0.03 | 0.23 | |
| .15 | — | .81 | .06 | ||
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| 0.49 | 0.03 | 1 | 0.52 | |
| <.001 | .81 | — | <.001 | ||
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| 0.56 | 0.23 | 0.52 | 1 | |
| <.001 | .06 | <.001 | — | ||
aM5: Mood-5 Scale.
bBCAT: Brief Cognitive Assessment Tool.
cBADS: Brief Anxiety and Depression Scale.
dAF: Anxiety Factor of BADS.
eDF: Depression Factor of BADS.
fNot applicable.
Predictive utility of several cutoff scores for the Mood-5 Scale.
| Cutoff score | Value (95% CI) | |||
| Sensitivity | Specificity | PPVa | NPVb | |
| 2 | 1.00 (0.93, 1.00) | 0.56 (0.43-0.68) | 0.71 (0.60-0.79) | 1.00 (0.88-1.00) |
| 3 |
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| 4 | 0.78 (0.65-0.87) | 0.84 (0.73-0.92) | 0.84 (0.72-0.92) | 0.78 (.66-0.87) |
aPPV: positive predictive value.
bNPV: negative predictive value.
cItalicized values in the table indicate the M5 cutoff scores with the optimal product of sensitivity, specificity, positive predictive value, and negative predictive value for identifying COVID-19 psychological distress.
Figure 1Receiver operating characteristics and area under the curve (AUC) were calculated from sensitivity and (1−specificity) values for the Mood-5 Scale for identifying COVID-19 psychological distress among older adults.