Minimum Data Set Depression Rating Research Articles

Cornell's Depression for Dementia Scale: A psychometric study among Norwegian nursing home residents

BackgroundDepression is common among residents in long term-care facilities. Therefore, access to a valid and reliable measure of depressive symptoms among nursing home (NH) residents is highly warranted. AimThe aim of this study was to test the psychometrical properties of the Norwegian version of the Cornell Scale for Depression in Dementia (CSDD). MethodsA sample of 309 NH residents were assessed for depressive symptoms using the CSDD in 2015-2016. Data on CSDD were missing for 64 residents, giving an effective sample of 245 (79.3%). Principal component and confirmatory factor analysis were used. ResultsA five-dimensional solution yielded the best fit with the data (χ2=174.927, df=94, χ2/df=1.86, p=0.0001, RMSEA=0.058, p-value for test of close fit=0.152, CFI=0.94, TLI=0.92 and SRMR=0.056). As expected, higher depressive symptoms correlated positively with higher scores on the Minimum Data Set Depression Rating Scale (MDSDRS) and correlated negatively with Quality of life assessed with the Quality of Life in Late Stage-Dementia Scale. LimitationsThe excluded residents (n=64, 20.7%) had lower cognitive function, which may limit the generalizability of the study results. ConclusionThis study suggests a five-dimensional solution of the CSDD scale. Sixteen of the 19 original items showed highly significant loadings, explaining a notable amount of the variation in the CSDD-construct. Further development and testing of a well-adapted scale assessing depression in the nursing home population with and without dementia is required.

Effects of a Stepwise Multidisciplinary Intervention for Challenging Behavior in Advanced Dementia: A Cluster Randomized Controlled Trial.

To assess whether implementation of a stepwise multicomponent intervention (STA OP!) is effective in reducing challenging behavior and depression in nursing home residents with advanced dementia. Cluster randomized controlled trial. Twenty-one clusters (single independent nursing home units) in 12 nursing homes within the Netherlands. Residents with advanced dementia (N = 288). Staff working on intervention units received comprehensive stepwise multidisciplinary training; the control condition received training on general nursing skills, dementia management and pain without the stepwise component. The primary outcome was agitation (Cohen-Mansfield Agitation Inventory (CMAI)). Secondary outcomes included psychotropic medication use, neuropsychiatric symptoms (Neuropsychiatric Inventory-Nursing Home version (NPI-NH)), and symptoms of depression (Cornell Scale for Depression in Dementia (CSDD), Minimum Dataset Depression Rating Scale (MDS-DRS)). Measurements were made at baseline and 3 and 6 months after the intervention. Multilevel analysis and logistical generalized estimating equations were used to test treatment and time effects. Analysis was on an intention-to-treat basis. Multilevel modeling revealed an overall effect of the intervention on challenging behavior and depression; CMAI (mean difference -4.07 points, 95% confidence interval = (CI) = -7.90 to -0.24, P = .02), NPI-NH (mean difference -3.57 points, 95% CI = -6.30 to -0.84, P = .005), CSDD (mean difference -1.59 points, 95% CI = -2.49 to -0.69, P < .001), and MDS-DRS (mean difference -0.96 points, 95% CI = -1.40 to -0.52, P < .001) scores were significantly lower in the intervention condition than the control condition. There was a significant reduction of antidepressants (N06A) (OR = 0.32); nonsignificant reductions of antipsychotics (N05A), anxiolytics (N05B), and hypnotic-sedatives (N05C) (odds ratios = 0.69 to 0.90). For nursing home residents with advanced dementia and challenging behavior, providing staff with comprehensive training in behavioral management, resulted in improved behavior and less psychotropic medication use.

A Retrospective Pilot Study of African-American and Caucasian Nursing Home Residents with Dementia Who Died From Cancer

A Retrospective Pilot Study of African-American and Caucasian Nursing Home Residents with Dementia Who Died From Cancer

Practical Depression Screening in Residential Care/Assisted Living: Five Methods Compared With Gold Standard Diagnoses

To test the accuracy of five practical depression screening strategies in older adults residing in residential care/assisted living (RC/AL). Cross-sectional screening study. Four RC/AL communities in North Carolina. A total of 112 residents aged > or =65 and 27 staff members involved in their care. Direct care staff was trained in and completed the Cornell Scale for Depression in Dementia, modified for use by long-term care staff (CSDD-M-LTCS). They additionally responded to a one-item question "Do you believe the resident is often sad or depressed?" and the Minimum Data Set Depression Rating Scale (DRS). Residents responded directly to the Geriatric Depression Scale (15-item version; GDS-15) and the Patient Health Questionnaire, 2-item version (PHQ-2). A geriatric psychiatrist performed gold standard diagnostic interviews using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition. Sensitivities and specificities were calculated for all instruments at predetermined cutpoints. Gold standard diagnoses yielded 14% prevalence of major or minor depression. The CSDD-M-LTCS and one-item screen completed by caregivers failed to significantly discriminate depressed cases. The DRS yielded high specificity (0.85) but low sensitivity (0.47). For the two resident reported measures, the PHQ-2 had a sensitivity of 0.80 and specificity of 0.71, and the GDS-15, 0.60 and 0.75, respectively. Measures completed by caregivers failed to adequately detect depression. Of the measures completed directly by residents, the PHQ-2 seems to have the best mix of brevity, sensitivity, and ease of administration.

Depression and Risk of Nursing Home Admission Among Older Adults in Home Care in Europe

Depression is a frequent condition observed among nursing home residents. However, so far, limited data are available on the impact of depression on nursing home admission. The aim of the present study was to assess the effect of depression on the risk of nursing home admission in a group of older adults receiving home care in Europe. We conducted a longitudinal analysis using data from the Aged in Home Care (AdHOC) database, which contains information on older adults receiving home care services in 11 European countries. Subjects had been admitted to the home care programs between 2001 and 2003. Depression was diagnosed as a score >or=3 on the Minimum Data Set (MDS) Depression Rating Scale. Information on nursing home admission was collected semiannually for 1 year by trained research personnel. The mean age of 2718 older adults entering the study was 82.4 (SD = 7.3) years, 2047 (75.3%) were women, and 331 (12.2%) were depressed. Overall, 49/331 depressed participants (14.8%) and 252/2387 nondepressed participants (10.6%) were admitted to a nursing home (p = .02). After adjusting for potential confounders, the risk of nursing home admission was significantly higher for depressed participants (hazard ratio = 1.43, 95% CI = 1.02 to 2.02). The risk of nursing home admission progressively and significantly increased as MDS Depression Rating Scale score increased (signifying more severe depression) (p = .001 for linear trend). In older adults receiving home care in Europe, depression is associated with an increased risk for nursing home admission. This association increases with severity of depression.

Association Between Pain and Depression Among Older Adults in Europe

To assess the association between pain and depression in a population of older adults. We conducted a cross-sectional study using data from the Aged in Home Care (AdHOC) database, which contains information on older adults receiving home care services in 11 European countries from 2001 to 2003. Pain was defined as any type of pain or discomfort manifested over the 7 days preceding the assessment. Depression was defined as a score >or= 3 on the Minimum Data Set Depression Rating Scale. Mean age of 3976 subjects entering the study was 82.3 years, and 2948 (74.1%) were women. Of the total sample, 2380 subjects presented with pain (59.9%), but its prevalence differed substantially among countries. Depression was diagnosed in 181 (11.3%) of the 1596 participants without pain and in 464 (19.5%) of the 2380 participants with pain (p < .001). After adjusting for potential confounders, pain was significantly associated with depression (odds ratio [OR] 1.76, 95% confidence interval [CI] = 1.43 to 2.17). This association seemed to be modified by sex. Compared to male participants without pain, women with pain were significantly more likely to present with depression (OR = 1.77; 95% CI = 1.29 to 2.42), while no significant difference was observed for women without pain (OR = 0.86; 95% CI = 0.61 to 1.22) and men with pain (OR = 1.24; 95% CI = 0.86 to 1.79). Among women, the association of pain and depression became progressively more pronounced as pain severity, pain frequency, and number of painful sites increased. This study documented that in a large sample of older adults living in the community, pain is associated with depression, especially among women.

Measuring depression in nursing home residents with the MDS and GDS: an observational psychometric study

BackgroundThe objective of this study was to examine the Minimum Data Set (MDS) and Geriatric Depression Scale (GDS) as measures of depression among nursing home residents.MethodsThe data for this study were baseline, pre-intervention assessment data from a research study involving nine nursing homes and 704 residents in Massachusetts. Trained research nurses assessed residents using the MDS and the GDS 15-item version. Demographic, psychiatric, and cognitive data were obtained using the MDS. Level of depression was operationalized as: (1) a sum of the MDS Depression items; (2) the MDS Depression Rating Scale; (3) the 15-item GDS; and (4) the five-item GDS. We compared missing data, floor effects, means, internal consistency reliability, scale score correlation, and ability to identify residents with conspicuous depression (chart diagnosis or use of antidepressant) across cognitive impairment strata.ResultsThe GDS and MDS Depression scales were uncorrelated. Nevertheless, both MDS and GDS measures demonstrated adequate internal consistency reliability. The MDS suggested greater depression among those with cognitive impairment, whereas the GDS suggested a more severe depression among those with better cognitive functioning. The GDS was limited by missing data; the DRS by a larger floor effect. The DRS was more strongly correlated with conspicuous depression, but only among those with cognitive impairment.ConclusionsThe MDS Depression items and GDS identify different elements of depression. This may be due to differences in the manifest symptom content and/or the self-report nature of the GDS versus the observer-rated MDS. Our findings suggest that the GDS and the MDS are not interchangeable measures of depression.

Validity and reliability of the Minimum Data Set Depression Rating Scale (MDSDRS) for older adults in nursing homes

this research examined the psychometric properties of the Minimum Data Set Depression Rating Scale for use among older adults living in nursing homes. interviews with 145 older adults in three nursing homes were conducted to complete the Hamilton Depression Rating Scale and the Geriatric Depression Scale. Information relevant to completing the Minimum Data Set Depression Rating Scale was gathered from the Minimum Data Set. the Minimum Data Set Depression Rating Scale did not perform well when validated against the Hamilton Depression Rating Scale and the Geriatric Depression Scale. Minimum Data Set Depression Rating Scale cut-off levels of > or =2 and > or =3 were associated with relatively low total score correlations and sensitivity rates, but acceptable specificity. findings suggest that the Minimum Data Set Depression Rating Scale may be of limited clinical value to identify depression among older adults living in nursing homes.

Accuracy and bias of licensed practical nurse and nursing assistant ratings of nursing home residents' pain.

This study evaluated the accuracy of licensed practical nurses' (LPN) and nursing assistants' (NA) Minimum Data Set (MDS) pain ratings of nursing home residents and evaluated the bias in pain ratings associated with residents' race, gender, mental status, function, depression, or disruptive behavior. Data were obtained on the same day directly from residents, LPNs, and NAs by trained interviewers in two safety-net nursing homes. A total of 252 residents were included in this study: 79% were Black, and 60% were men. MDS items J2a and J2b evaluated pain frequency and pain intensity during the last 7 days (weekly pain frequency and weekly pain intensity). A parallel question evaluated pain intensity on the day of the interview (daily pain intensity). MDS data were obtained for the MDS Cognition Scale, the MDS Activities of Daily Living-Long Form Scale, the MDS Depression Rating Scale, and the MDS Disruptive Behavior Scale. Kappa coefficients documented fair to good resident-LPN (K =.70,.56, and.50) and resident-NA (K =.72,.58, and.60) agreement for weekly pain frequency, weekly pain intensity, and daily pain intensity ratings. LPNs and NAs underestimated residents' weekly pain frequency (p <.001 for LPNs, and p <.001 for NAs), weekly pain intensity (p <.001 for LPNs, and p <.001 for NAs), and daily pain intensity (p <.001 for LPNs, and p =.002 for NAs). LPNs underestimated weekly and daily pain intensity more than NAs did (p =.016 for weekly pain intensity, and p =.035 for daily pain intensity). LPN and NA pain ratings were not biased by resident race, gender, mental status, function, depression, or disruptive behavior. Results documented that (i) LPNs and NAs underestimated residents' pain frequency and pain intensity, (ii) NAs were more accurate than LPNs for pain intensity, and (iii) resident characteristics did not bias LPN or NA pain ratings.

Development of a minimum data set-based depression rating scale for use in nursing homes.

depression is common but under-diagnosed in nursing-home residents. There is a need for a standardized screening instrument which incorporates daily observations of nursing-home staff. to develop and validate a screening instrument for depression using items from the Minimum Data Set of the Resident Assessment Instrument. we conducted semi-structured interviews with 108 residents from two nursing homes to obtain depression ratings using the 17-item Hamilton Depression Rating Scale and the Cornell Scale for Depression in Dementia. Nursing staff completed Minimum Data Set assessments. In a randomly assigned derivation sample (n = 81), we identified Minimum Data Set mood items that were correlated (P < 0.05) with Hamilton and Cornell ratings. These items were factored using an oblique rotation to yield five conceptually distinct factors. Using linear regression, each set of factored items was regressed against Hamilton and Cornell ratings to identify a core set of seven Minimum Data Set mood items which comprise the Minimum Data Set Depression Rating Scale. We then tested the performance of the Minimum Data Set Depression Rating Scale against accepted cut-offs and psychiatric diagnoses. a cutpoint score of 3 on the Minimum Data Set Depression Rating Scale maximized sensitivity (94% for Hamilton, 78% for Cornell) with minimal loss of specificity (72% for Hamilton, 77% for Cornell) when tested against cut-offs for mild to moderate depression in the derivation sample. Results were similar in the validation sample. When tested against diagnoses of major or non-major depression in a subset of 82 subjects, sensitivity was 91% and specificity was 69%. Performance compared favourably with the 15-item Geriatric Depression Scale. items from the Minimum Data Set can be organized to screen for depression in nursing-home residents. Further testing of the instrument is now needed.