The Use of the Minimum Data Set to Identify Depression in the Elderly

Psychometric characteristics of comprehensive geriatric assessments (CGAs) for long-term care facilities and community care: A systematic review

BACKGROUND

Comprehensive Geriatric Assessments (CGAs) have been incorporated as an integrated care approach effective to face the challenges associated to uncoordinated care, risk of hospitalization, unmet needs, and care planning experienced in older adult care. As they assessed different dimensions, is important to inform about the content and psychometric properties to guide the decisions when selecting and implementing them in practice. This systematic review provides a comprehensive insight on the strengths and weaknesses of the CGAs used in long-term care settings and community care.

METHODS

A systematic search was conducted in PubMed, CINAHL, and Web of Science Core Collection. Studies published up to July 13, 2021, were considered. Quality appraisal was performed for the included studies.

RESULTS

A total of 10 different CGAs were identified from 71 studies included. Three instruments were reported for long-term care settings, and seven for community care. The content was not homogenous and differed in terms of the detail and clearness of the areas being evaluated. Evidence for good to excellent validity and reliability was reported for various instruments.

CONCLUSIONS

Setting more specific and clear domains, associated to the special needs of the care setting, could improve informed decisions at the time of selecting and implementing a CGA. Considering the amount and quality of the evidence, the instrument development trajectory, the validation in different languages, and availability in different care settings, we recommend the interRAI LTCF and interRAI HC to be used for long-term facilities and community care.

An observational study of antipsychotic medication use among long-stay nursing home residents without qualifying diagnoses

WHAT IS KNOWN ON THE SUBJECT?: In the United States, 15.5% of nursing home residents without qualifying diagnoses of schizophrenia, Huntington's' Disease, and/or Tourette Syndrome receive antipsychotic medications. Antipsychotic medications are used off-label (i.e., used in a manner the United States Food and Drug Administration's packaging insert does not specify) to treat neuropsychiatric symptoms, often before attempting nonpharmacologic interventions, despite evidence that this drug class is associated with significant adverse events including death. Less than optimal staffing resources and lack of access to geropsychiatric specialists are barriers to reducing antipsychotic use. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Antipsychotic use occurred in 11.6% of nursing home residents without qualifying or potentially qualifying diagnoses (bipolar disorder and psychotic disorder); antipsychotic use was more prevalent in residents with a dementia diagnosis than those without. One additional registered nurse hour per resident day could reduce the odds of antipsychotic use by 52% and 56% for residents with and without a dementia diagnosis respectively. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Given the influence of total staffing and professional staff mix on risk of antipsychotic use, nursing home administrators may want to consider aspects of facility operation that impact antipsychotic use. More stringent Unites States' survey and certification standards for dementia care implemented in 2017 demand proactive person-centered care that promotes maximal well-being and functioning without risk of harm from inappropriate psychoactive medications. Mental health nurses have requisite training to provide expert person-centered care to nursing home residents with mental illness and geropsychiatric disorders.

ABSTRACT

Introduction Antipsychotic use in nursing homes varies widely across the United States; inadequate staffing, skill mix, and geropsychiatric training impede sustained improvement. Aim This study identified risk factors of antipsychotic use in long-stay residents lacking qualifying or potentially qualifying diagnoses. Method This secondary analysis used 2015 Minimum Data Set and cost report data from 458 Missouri nursing homes. The full sample (N = 29,679) was split into two subsamples: residents with (N = 15,114) and without (N = 14,565) a dementia diagnosis. Separate logistic regression models were run. Results Almost 15% of the dementia subsample and 8.4% of the nondementia subsample received an antipsychotic medication in the past week. Post-traumatic stress disorder, psychosis indicators, behavioral symptoms, anxiety medication with and without anxiety diagnosis, depression medication with and without depression diagnosis, and nurse staffing were among the strongest predictors of antipsychotic use in both subsamples. Simulation analyses showed decreased odds of receiving an antipsychotic in both subsamples when registered nurse hours matched the national average. Discussion Matching nurse staffing mix to the national average may improve antipsychotic use in nursing homes. Implications Knowledge of antipsychotic use risk factors use can inform care planning and staff education to minimize use of these medications in all but severe cases.

Development of a caregiver-reported measure to support systematic assessment of people with dementia in long-term care: The Integrated Palliative care Outcome Scale for Dementia

BACKGROUND

Symptom burden is common for long-term care residents with dementia which if untreated compromises quality of life. Measurement tools can support assessment of symptoms and problems but are not widely used in long-term care settings. We developed the Integrated Palliative care Outcome Scale for Dementia derived from the Palliative care Outcome Scale, Palliative care Outcome Scale-Symptom and Integrated Palliative care Outcome Scale.

AIM

To examine the content validity, acceptability and comprehension of Integrated Palliative care Outcome Scale for Dementia for routine use in long-term care settings for people with dementia and to refine Integrated Palliative care Outcome Scale for Dementia.

DESIGN

A multi-method qualitative study consisting of focus groups, semi-structured interviews and cognitive interviews.

SETTING/PARTICIPANTS

Three residential long-term care settings in London, UK. Focus group and semi-structured interview participants included caregiver staff, family, general practitioners and district nurses. Caregiver staff were sampled purposively for cognitive interviews.

RESULTS

A total of 26 respondents participated in the focus groups ( n = 21) or semi-structured interviews ( n = 5) and 10 caregiver staff completed cognitive interviews. Additional symptoms and problems included agitation, wandering, sleep problems, communication problems and diarrhoea. Refinements or lay terms were required to improve comprehension and consistency of item response for nausea, drowsiness, delusions/hallucinations, agitation, loss of interest, communication problems and interaction. A video presentation was required to support comprehension of instructions and assessment of verbally compromised residents.

CONCLUSION

Integrated Palliative care Outcome Scale for Dementia is a comprehensive and acceptable caregiver-reported measure to detect symptoms and problems in dementia. It is suitable for caregiver staff without professional training as it has been refined and tailored to maximise caregiver expertise, ready for further psychometric testing.

Measures to assess commonly experienced symptoms for people with dementia in long-term care settings: a systematic review

BACKGROUND

High symptom burden is common in long-term care residents with dementia and results in distress and behavioral challenges if undetected. Physicians may have limited time to regularly examine all residents, particularly those unable to self-report, and may rely on reports from caregivers who are frequently in a good position to detect symptoms quickly. We aimed to identify proxy-completed assessment measures of symptoms experienced by people with dementia, and critically appraise the psychometric properties and applicability for use in long-term care settings by caregivers.

METHODS

We searched Medline, EMBASE, PsycINFO, CINAHL and ASSIA from inception to 23 June 2015, supplemented by citation and reference searches. The search strategy used a combination of terms: dementia OR long-term care AND assessment AND symptoms (e.g. pain). Studies were included if they evaluated psychometric properties of proxy-completed symptom assessment measures for people with dementia in any setting or those of mixed cognitive abilities residing in long-term care settings. Measures were included if they did not require clinical training, and used proxy-observed behaviors to support assessment in verbally compromised people with dementia. Data were extracted on study setting and sample, measurement properties and psychometric properties. Measures were independently evaluated by two investigators using quality criteria for measurement properties, and evaluated for clinical applicability in long-term settings.

RESULTS

Of the 19,942 studies identified, 40 studies evaluating 32 measures assessing pain (n = 12), oral health (n = 2), multiple neuropsychiatric symptoms (n = 2), depression (n = 8), anxiety (n = 2), psychological wellbeing (n = 4), and discomfort (n = 2) were included. The majority of studies (31/40) were conducted in long-term care settings although none of the neuropsychiatric or anxiety measures were validated in this setting. The pain assessments, PAINAD and PACSLAC had the strongest psychometric evidence. The oral health, discomfort, and three psychological wellbeing measures were validated in this setting but require further psychometric evaluation. Depression measures were poor at detecting depression in this population. All measures require further investigation into agreement, responsiveness and interpretability.

CONCLUSIONS

Measures for pain are best developed for this population and setting. All other measures require further validation. A multi-symptom measure to support comprehensive assessment and monitoring in this population is required.

Nursing home characteristics associated with methicillin-resistant Staphylococcus aureus (MRSA) Burden and Transmission

BACKGROUND

MRSA prevalence in nursing homes often exceeds that in hospitals, but reasons for this are not well understood. We sought to measure MRSA burden in a large number of nursing homes and identify facility characteristics associated with high MRSA burden.

METHODS

We performed nasal swabs of residents from 26 nursing homes to measure MRSA importation and point prevalence, and estimate transmission. Using nursing home administrative data, we identified facility characteristics associated with MRSA point prevalence and estimated transmission risk in multivariate models.

RESULTS

We obtained 1,649 admission and 2,111 point prevalence swabs. Mean MRSA point prevalence was 24%, significantly higher than mean MRSA admission prevalence, 16%, (paired t-test, p<0.001), with a mean estimated MRSA transmission risk of 16%.In multivariate models, higher MRSA point prevalence was associated with higher admission prevalence (p=0.005) and higher proportions of residents with indwelling devices (p=0.01). Higher estimated MRSA transmission risk was associated with higher proportions of residents with diabetes (p=0.01) and lower levels of social engagement (p=0.03).

CONCLUSIONS

MRSA importation was a strong predictor of MRSA prevalence, but MRSA burden and transmission were also associated with nursing homes caring for more residents with chronic illnesses or indwelling devices. Frequent social interaction among residents appeared to be protective of MRSA transmission, suggesting that residents healthy enough to engage in group activities do not incur substantial risks of MRSA from social contact. Identifying characteristics of nursing homes at risk for high MRSA burden and transmission may allow facilities to tailor infection control policies and interventions to mitigate MRSA spread.

Measuring symptoms of depression: comparing the Cornell Scale for Depression in Dementia and the Patient Health Questionnaire-9-Observation Version

The purpose of this study was to extend available psychometric data on the Patient Health Questionnaire-9-Observation Version (PHQ-9-OV) by comparing it with the Cornell Scale for Depression in Dementia (CSDD) in a new sample of long-term care residents. Data were collected post intervention in a quasi-experimental storytelling study across six communities. The sample (N = 54) was 87% women with mean age of 84.5, mean CSDD score of 3.96, and mean PHQ-9-OV score of 4.22. Prevalence of depressive symptoms by CSDD criteria was 20.4% and by PHQ-9-OV criteria was 40.7%. The CSDD and PHQ-9-OV were well correlated (r(s) = 0.78, p < 0.0001). Neither scale was significantly correlated with depression diagnosis nor antidepressant agent use. Both measures demonstrated adequate reliability. The PHQ-9-OV item scoring and established cut-off points designate a lower threshold than the CSDD to detect clinically significant depressive symptoms. Further study is needed to determine the sensitivity of the PHQ-9-OV in identifying treatment effects.

Screening depression among institutionalized older Chinese men by minimum data set: we need a new instrument

OBJECTIVE

To compare the effectiveness of the Minimum Data Set-based Depression Rating Scale (MDS-DRS) and Geriatric Depression Scale (GDS) in screening depression among older institutionalized Chinese men living in Taiwan.

METHOD

MDS Nursing Home 2.1 Chinese version, Mini-Mental State Examination (MMSE), and short form Geriatric Depression Scale (GDS-15) were used among elderly residents in Banciao Veterans Home. Screening results of MDS-DRS and GDS-15, and relationship between 16 MDS Mood and Anxiety symptoms and depression were evaluated.

RESULTS

The prevalence of depression defined by MDS-DRS and GDS were 0.2% and 8.7%, respectively. Multiple logistic regression disclosed that E1a (OR: 12.9, 95% CI: 2.8-58.8, p = 0.001), E1k (OR: 15.6, 95% CI: 5.6-43.5, p < 0.001), and E1l (OR: 22.2, 95% CI: 6.1-83.3, p < 0.001) were all independent associative factors for GDS-defined depression but only explained 51.9% of all depressive subjects.

CONCLUSIONS

The effectiveness of MDS-DRS is limited, and a new MDS-based depression screening instrument is needed.

Validity and responsiveness to change of clinically derived MDS scales in Alzheimer disease outcomes research

This analysis assessed 3 subscales derived from the nursing home Minimum Data Set (MDS), the Cognitive Performance Scale (CPS), Depression Rating Scale (DRS), and Aggressive Behavior Scale (ABS), as outcome measures in clinical trials of long-term care residents with Alzheimer disease (AD). A total of 26 patients with moderate-to-severe AD and agitation/aggression enrolled in a trial of memantine were assessed using the Mini-Mental State Examination (MMSE), Neuropsychiatric Inventory Nursing Home Version (NPI-NH), and the Cohen-Mansfield Agitation Inventory (CMAI) administered by trained researchers. MDS data were collected as part of their standard clinical care. The MDS subscales correlated significantly with their corresponding research scales: CPS and MMSE (r = -0.57, P = .003); DRS and NPI-NH total (r = 0.42, P = .038); DRS and NPI-NH depression (r = 0.41, P = .04), and ABS and CMAI (r = 0.54, P = .004). DRS and ABS scores did not change significantly from baseline to 3 months though the NPI-NH and CMAI did, indicating limited sensitivity to change. This suggests that the MDS subscales measure comparable aspects of cognitive function and depressive and agitated/aggressive behavior as the MMSE, NPI-NH, and CMAI. However, this analysis also suggests that sensitivity to change of the DRS and ABS may be limited compared to the NPI-NH and CMAI. As these findings are preliminary, further research is needed to determine the utility of MDS scales in outcomes research.

The work of the RN Minimum Data Set coordinator in its organizational context

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) is the foundational clinical framework for nursing home care, functioning as both a clinical assessment instrument and an assessment process. An RN is mandated by statute to complete or coordinate the work associated with this framework. Using both focus groups and questionnaires, 24 RN MDS coordinators attending a national conference for MDS coordinators described their work in its organizational context. Shortell et al.'s continuous quality framework of structural, technical, cultural, and strategic organizational dimensions was used to categorize descriptive themes. Clinical implications of the study findings are summarized.

The basis for improving and reforming long-term care. Part 3: essential elements for quality care

There is a pervasive effort to reform nursing homes and improve the care they provide. Many people are trying to educate and inform nursing homes and their staff, practitioners, and management about what to do and not do, and how to do it. But only some of that advice is sound. After more than 3 decades of such efforts, and despite evidence of improvement in many facets of care, there are still many issues. Despite improvements, the overall public, political, and health professional perception of nursing homes is often still negative. To date, no tactic or approach has succeeded nationwide in consistently facilitating good performance or correcting poor performance. Only some of the current efforts to try to improve nursing home quality and to measure it are on target. Many of the measures used to assess the quality of performance have limited value in guiding overall quality improvement. Before we can reform nursing homes, we must understand what needs to be reformed. This series of articles has focused on what is needed for safe, effective, efficient, and person-centered care. Ultimately, all efforts to improve nursing home care quality must be matched against the critical elements needed to provide desirable care. Based on the discussions in the previous 2 articles, this third article in this 4-part series considers 5 key elements of care processes and practices that can help attain multiple desirable quality objectives.

A review of evidence on the reliability and validity of Minimum Data Set data

This paper reviews the reliability and validity of the Minimum Data Set (MDS) assessment, which is being used increasingly in Canadian nursing homes and continuing care facilities. The central issues that surround the development and implementation of a standardized assessment such as the MDS are presented, including implications for health care managers in how to approach data quality concerns. With other sectors such as home care and inpatient psychiatry using MDS for national reporting, these issues have importance in and beyond residential care management.

Depression in older nursing home residents: the influence of nursing home environmental stressors, coping, and acceptance of group and individual therapy

Based on in-depth interviews with 65 older nursing home residents, this study examined the residents' own understanding and perceptions of depressive symptoms, causes of their depression, their self-reported coping strategies, and their preferences for acceptable depression interventions. About half (n = 32) of all interviewees stated that they were either feeling depressed or experiencing negative affects. The major themes related to the causes of their depression were loss of independence, freedom and continuity with their past life; feelings of social isolation and loneliness; lack of privacy and frustration at the inconvenience of having a roommate and sharing a bathroom; loss of autonomy due to the institutional regimen and regulations; ambivalence toward cognitively impaired residents; ever-present death and grief; staff turnover and shortage; and stale programming and lack of meaningful in-house activities. Self-reported coping mechanisms included religion and stoicism, a sense of reality, positive attitude and family support. In regard to depression treatment, the interviewees appeared to prefer nursing home programs that reduce their isolation over group or individual psychotherapy.

Potentially inappropriate management of depressive symptoms among Ontario home care clients

OBJECTIVE

To examine the prevalence and correlates of potentially inappropriate pharmacotherapy (including potential under-treatment) for depression in adult home care clients.

METHODS

A cross-sectional study of clients receiving services from Community Care Access Centres in Ontario. Three thousand three hundred and twenty-one clients were assessed with the Resident Assessment Instrument for Home Care (RAI-HC). A score of 3 or greater on the Depression Rating Scale (DRS), a validated scale embedded within the RAI-HC, indicates the presence of symptoms of depression. Medications listed on the RAI-HC were used to categorize treatment into two groups: potentially appropriate and potentially inappropriate antidepressant drug therapy. Adjusted logistic regression models were used to explore relevant predictors of potentially inappropriate pharmacotherapy.

RESULTS

12.5% (n=414) of clients had symptoms of depression and 17% received an appropriate antidepressant. Over half of clients (64.5%) received potentially inappropriate pharmacotherapy (including potential under-treatment). Age 75 years or older, higher levels of caregiver stress and the presence of greater comorbidity were associated with a higher risk of potentially inappropriate pharmacotherapy in multivariate analyses. Documentation of any psychiatric diagnosis on the RAI-HC and receiving more medications were significantly associated with a greater likelihood of appropriate drug treatment.

CONCLUSION

Most clients with significant depressive symptoms were not receiving appropriate pharmacotherapy. Having a documented diagnosis of a psychiatric condition on the RAI-HC predicted appropriate pharmacotherapy. By increasing recognition of psychiatric conditions, the use of standardized, comprehensive assessment instruments in home care may represent an opportunity to improve mental health care in these settings.

Depression in long-term care

OBJECTIVES

To review the diagnosis and treatment of depressive disorders in long-term care settings.

METHODS

A review of the literature on the diagnosis and treatment of depression in long-term care.

RESULTS

Up to 35% of residents in long-term care facilities may experience either major depression or clinically significant depressive symptoms. These symptoms are often not recognized for at least 2 reasons: depression is not the focus of physicians and nursing personnel and depression is frequently comorbid with other problems that are common in long-term care, such as cognitive impairment, medical illness, and functional impairment. Nevertheless, depression, once diagnosed, can be treated effectively in the nursing home setting. The foundation of treatment is pharmacotherapy, yet other therapeutic approaches, such as exercise and psychological therapies may be of value.

CONCLUSION

Depression, although often unrecognized in long-term care, is a treatable condition and deserves the attention of the entire medical and nursing staff.

Implementation of the resident assessment instrument/minimum data set in the nursing home as organization: implications for quality improvement in RN clinical assessment

The Resident Assessment Instrument/Minimum Data Set (RAI/MDS) used in nursing homes (NHs) participating in the Federal Medicare and Medicaid programs is a state-of-the-art, computerized clinical assessment instrument. RAI/MDS-derived data are essential, used for NH reimbursement, quality measurement, regulatory quality monitoring activities, and clinical care planning. Completing or coordinating the RAI/MDS, which may be conceived of as implementation, is a federally mandated responsibility of the RN involving clinical assessment, a core professional competency of any RN. How the RAI/MDS is implemented in each NH provides evidence of how each NH as an organization understands both the RAI/MDS process and its organizational level responsibility for promotion of RN competence in clinical assessment. Research literature related to RAI/MDS development, testing, and accuracy is used to identify what is known about organizational level implementation of the RAI/MDS. Evidence-based suggestions to enhance RN competence in RAI/MDS clinical assessments, given existing organizational barriers, are provided.

Psychogeriatric services in the community and in long-term care facilities: needs and developments

PURPOSE OF REVIEW

An increasing proportion of the world's population is over the age of 65 years. Specialist mental health services for older people have been developed in many countries. The way services develop depends partly on how healthcare arrangements have evolved in that jurisdiction, as well as on finances, culture and attitudes towards elderly and disabled individuals. Health planners in developing countries recognize that considerable increases in their elderly populations and numbers of individuals with disability are imminent. It will be important to ensure that older people with mental disorders receive appropriate treatment. This review discusses recent findings and observations about psychogeriatric services in the community and in long-term care facilities, and aims to suggest how to improve or develop such services.

RECENT FINDINGS

The prevalence of mental disorders in long-term care facilities is high, but services to deal with them are usually not optimal. When appropriately staffed and organized, community psychogeriatric services, day care and collaborative care can be effective in reducing mental health problems and preventing admissions.

SUMMARY

Recent reviews and research have provided useful guidance regarding aspects of current psychogeriatric services that work well and those that need to be improved. A person-centred approach is favoured.

Concordance of self-report and informant assessment of emotional well-being in nursing home residents with dementia

The emotional well-being of persons with dementia is an aspect of their quality of life. We examined the stability of informant-rated and self-reported emotion, and the influence of mental status and physical dependence on ratings; we modeled concordance between ratings at both the within- and between-person levels of analysis. We used multilevel modeling to examine data collected over 12 days from 31 nursing home residents. We found significant within-person variation in both informant-rated and self-reported emotion, such that between 40% and 60% of the overall variance in each occurred within persons. We found little correspondence between or within persons between ratings of the informants and residents, regardless of mental status. We recommend statistical techniques that describe these high levels of daily variation in persons with dementia.

Assessment of Psychoemotional and Behavioral Status in Patients with Dementia

Depression and behavioral symptoms occur in many older adults with dementia and result in serious consequences, including nursing home admissions, decreased functional ability, mortality, and increased healthcare costs. Assessment of depression in this population is challenging and is facilitated by using interviewer-rated instruments as an adjunct to clinical judgment. Clinicians should select a perspective that enables them to view behavioral symptoms associated with dementia in a therapeutic manner. Care for depression and behavioral symptoms should be individualized to match presenting symptoms. Issues related to psychoemotional and behavioral assessment are: (1) implementation of effective psychogeriatric models of care and (2) incorporating evidenced-based knowledge into practice settings.

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

Background

The 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.

Methods

The 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.

Results

The 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.

Conclusions

The 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.