Survival in the community of the very old depressed, discharged from medical inpatient care

Wilson, Kenneth; Mottram, Pat; Hussain, Maryyum

doi:10.1002/gps.1773

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…Depression has been described in quantitative research as a mortality risk in older persons (Sutcliffe et al, 2007;Wilson et al, 2007). Sampson et al (2009) revealed that cognitive impairment and lack of social support are independent mortality risk factors for older depressed persons, while Greenlee et al (2010) demonstrated how anxiety impairs remission of depression during treatment of older persons.…”

Section: Introductionmentioning

confidence: 99%

Surviving depressive ill‐health: A qualitative systematic review of older persons' narratives

Holm

Severinsson

2013

Nursing & Health Sciences

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Section: Introductionmentioning

confidence: 99%

Surviving depressive ill‐health: A qualitative systematic review of older persons' narratives

Holm

Severinsson

2013

Nursing & Health Sciences

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“…Rates of minor and subthreshold depression are also high in these geriatric populations and have been shown to be clinically significant in terms of significant in terms of persistence and negative effects on health and functioning. [5–9]…”

Section: Introductionmentioning

confidence: 99%

Late-Life Depression in Home Healthcare

2012

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Major depression is disproportionately common among elderly adults receiving home healthcare and is characterized by greater medical illness, functional impairment, and pain. Depression is persistent in this population and is associated with numerous poor outcomes such as increased risk of hospitalization, injury-producing falls, and higher health care costs. Despite the need for mental health care in these patients, significant barriers unique to the home healthcare setting contribute to under-detection and under-treatment of depression. Intervention models target the home healthcare nurse as liaison between patients and physicians, and instruct in the identification and management of depression for their patients. Successful implementation requires interventions that ‘fit’ how home healthcare is organized and practiced, and long distance implementation strategies are required to increase the reach of these interventions.

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“…If the reason of these empirical peaks is only related to widowhood, this could possibly suggest that two waves of depression resulting from widowhood occur in the population at two different ages. For example, depressive people could die at younger ages, as already reported in some literature [42]. None of the scenarios included such a rule.…”

Section: Discussionmentioning

confidence: 84%

Rule-Based Modeling of Chronic Disease Epidemiology: Elderly Depression as an Illustration

Chiêm

Macq

Speybroeck³

2012

PLoS ONE

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BackgroundRule-based Modeling (RBM) is a computer simulation modeling methodology already used to model infectious diseases. Extending this technique to the assessment of chronic diseases, mixing quantitative and qualitative data appear to be a promising alternative to classical methods. Elderly depression reveals an important source of comorbidities. Yet, the intertwined relationship between late-life events and the social support of the elderly person remains difficult to capture. We illustrate the usefulness of RBM in modeling chronic diseases using the example of elderly depression in Belgium.MethodsWe defined a conceptual framework of interactions between late-life events and social support impacting elderly depression. This conceptual framework was underpinned by experts' opinions elicited through a questionnaire. Several scenarios were implemented successively to better mimic the real population, and to explore a treatment effect and a socio-economic distinction. The simulated patterns of depression by age were compared with empirical patterns retrieved from the Belgian Health Interview Survey.ResultsSimulations were run using different groupings of experts' opinions on the parameters. The results indicate that the conceptual framework can reflect a realistic evolution of the prevalence of depression. Indeed, simulations combining the opinions of well-selected experts and a treatment effect showed no significant difference with the empirical pattern.ConclusionsOur conceptual framework together with a quantification of parameters through elicited expert opinions improves the insights into possible dynamics driving elderly depression. While RBM does not require high-level skill in mathematics or computer programming, the whole implementation process provides a powerful tool to learn about complex chronic diseases, combining advantages of both quantitative and qualitative approaches.

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Survival in the community of the very old depressed, discharged from medical inpatient care

Abstract: Depression is common in older people discharged from acute medical care and is a major risk factor for reduced duration of community survival.

Cited by 8 publications

References 25 publications

Surviving depressive ill‐health: A qualitative systematic review of older persons' narratives

Surviving depressive ill‐health: A qualitative systematic review of older persons' narratives

Late-Life Depression in Home Healthcare

Rule-Based Modeling of Chronic Disease Epidemiology: Elderly Depression as an Illustration

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