Language and pain predict persistent depression among seriously ill home care clients.

OBJECTIVES This study examined potential predictors of persistent depressive symptoms in a cohort of seriously ill older adults (aged 65+ years) receiving home care services. METHODS This was a retrospective cohort study using secondary data collected from the Resident Assessment Instrument for Home Care for all assessments completed between 2001 and 2020. The cohort included seriously ill individuals with depressive symptoms at baseline and who continued to have depressive symptoms on reassessment within 12 months (n = 8,304). Serious illness was defined as having severe health instability, a prognosis of less than 6 months, or a goal of care related to palliative care (PC) on admission to the home care program. RESULTS The mean age of the sample was 80.8 years (standard deviation [SD] = 7.7), 61.1% were female, and 82.1% spoke English as their primary language. The average length of time between assessments was 4.9 months (SD = 3.3). During that time, 64% of clients had persistent symptoms of depression. A multivariate logistic regression model found that language, pain, caregiver burden, and cognitive impairment were the most significant predictors of experiencing persistent depressive symptoms. SIGNIFICANCE OF RESULTS Persistent depressive symptoms are highly prevalent in this population and, left untreated, could contribute to the person experiencing a "bad death." Some of the risk factors for this outcome are amenable to change, making it important to continually assess and flag these factors so interventions can be implemented to optimize the person's quality of life for as long as possible.

[1]  D. Goodridge,et al.  “The system is well intentioned, but complicated and fallible” interviews with caregivers and decision makers about palliative care in Canada , 2021, BMC Palliative Care.

[2]  Lori A. Mitchell,et al.  Development and Validation of Caregiver Risk Evaluation (CaRE): A New Algorithm to Screen for Caregiver Burden , 2020, Journal of applied gerontology : the official journal of the Southern Gerontological Society.

[3]  J. Hirdes,et al.  Potential quality indicators for seriously ill home care clients: a cross-sectional analysis using Resident Assessment Instrument for Home Care (RAI-HC) data for Ontario , 2019, BMC Palliative Care.

[4]  Bruce Hermann,et al.  Connected speech and language in mild cognitive impairment and Alzheimer’s disease: A review of picture description tasks , 2018, Journal of clinical and experimental neuropsychology.

[5]  D. Guthrie,et al.  The relationship between caregiver burden and depressive symptoms in Ontario home care clients , 2018, Home health care services quarterly.

[6]  Chun Wei Yap,et al.  Social isolation, loneliness and their relationships with depressive symptoms: A population-based study , 2017, PloS one.

[7]  P. Coyte,et al.  Predictors of caregiver burden across the home-based palliative care trajectory in Ontario, Canada. , 2016, Health & social care in the community.

[8]  S. Ebihara,et al.  The wish to die among palliative home care clients in Ontario, Canada: A cross-sectional study , 2016, BMC Palliative Care.

[9]  D. Guthrie,et al.  Self-Rated Health, Cognition, and Dual Sensory Impairment Are Important Predictors of Depression Among Home Care Clients in Ontario , 2016 .

[10]  H. Uchida,et al.  Language Barriers and Access to Psychiatric Care: A Systematic Review. , 2015, Psychiatric services.

[11]  G. Mitchell,et al.  Promoting palliative care in the community: Production of the primary palliative care toolkit by the European Association of Palliative Care Taskforce in primary palliative care , 2015, Palliative medicine.

[12]  J. Hirdes,et al.  Data sharing between home care professionals: a feasibility study using the RAI Home Care instrument , 2014, BMC Geriatrics.

[13]  Lori A. Mitchell,et al.  Use of the interRAI CHESS Scale to Predict Mortality among Persons with Neurological Conditions in Three Care Settings , 2014, PloS one.

[14]  D. Wilkie,et al.  Pain and symptom management in palliative care and at end of life. , 2012, Nursing outlook.

[15]  B. Zumbo,et al.  Estimating Ordinal Reliability for Likert-Type and Ordinal Item Response Data: A Conceptual, Empirical, and Practical Guide. , 2012 .

[16]  M. Hotopf,et al.  Predictors of non-remission of depression in a palliative care population , 2011, BMJ Supportive & Palliative Care.

[17]  J. Hirdes,et al.  Screening Cognitive Performance with the Resident Assessment Instrument for Mental Health Cognitive Performance Scale , 2010, Canadian journal of psychiatry. Revue canadienne de psychiatrie.

[18]  Louise C Hawkley,et al.  Perceived social isolation makes me sad: 5-year cross-lagged analyses of loneliness and depressive symptomatology in the Chicago Health, Aging, and Social Relations Study. , 2010, Psychology and aging.

[19]  J. Hirdes,et al.  Predictors of a new depression diagnosis among older adults admitted to complex continuing care: implications for the depression rating scale (DRS). , 2007, Age and ageing.

[20]  M. Shumway,et al.  Access to Mental Health Treatment by English Language Proficiency and Race/Ethnicity , 2007, Journal of General Internal Medicine.

[21]  N. Krause,et al.  The Social Distribution of Psychological Distress and Depression in Older Adults , 2005, Journal of aging and health.

[22]  B. Ferrell Overview of the domains of variables relevant to end-of-life care. , 2005, Journal of palliative medicine.

[23]  F. Bookstein,et al.  Pain in U.S. nursing homes: validating a pain scale for the minimum data set. , 2001, The Gerontologist.

[24]  G. Onder,et al.  Minimum Data Set for Home Care: A Valid Instrument to Assess Frail Older People Living in the Community , 2000, Medical care.

[25]  J N Morris,et al.  Development of a minimum data set-based depression rating scale for use in nursing homes. , 2000, Age and ageing.

[26]  D. Mehr,et al.  MDS Cognitive Performance Scale. , 1994, Journal of gerontology.