Rehabilitation potential in older people living with frailty: a systematic mapping review

BackgroundFollowing periods of acute ill-health and injury, older people are frequently assessed and provided with rehabilitation services. Healthcare practitioners are required to make nuanced decisions about which patients are likely to benefit from and respond to rehabilitation. The clinical currency in which these decisions are transacted is through the term “rehabilitation potential”. The aim of this study was to explore information about rehabilitation potential in older people to inform the development of an evidence-based assessment tool.MethodsA systematic mapping review was completed to describe the extent of research and the concepts underpinning rehabilitation potential. We searched Medline, CINHAL, EMBASE, AMED, PsycINFO, PEDro, Cochrane Library, Web of Science, ProQuest, Trip and EThOS from inception to December 2020. We included studies which focused on rehabilitation potential and/or assessing for rehabilitation interventions for older people with comorbidities in the hospital and community setting. Reviewer pairs independently screened articles and extracted data against the inclusion criteria. A descriptive narrative approach to analysis was taken.Results13,484 papers were identified and 49 included in the review. Rehabilitation potential was found to encompass two different but interrelated concepts of prognostication and outcome measurement. 1. Rehabilitation potential for prognostication involved the prediction of what could be achieved in programmes of rehabilitation. 2. Rehabilitation potential as an outcome measure retrospectively considered what had been achieved as a result of rehabilitation interventions. Assessments of rehabilitation potential included key domains which were largely assessed by members of the multi-disciplinary team at single time points. Limited evidence was identified which specifically considered rehabilitation potential amongst older people living with frailty.ConclusionsCurrent approaches to rehabilitation potential provide a snapshot of an individual’s abilities and conditions which fail to capture the dynamic nature and fluctuations associated with frailty and rehabilitation. New approaches to measures and abilities over time are required which allow for the prognostication of outcomes and potential benefits of rehabilitation interventions for older people living with frailty

Using machine learning algorithms to guide rehabilitation planning for home care clients

<p>Abstract</p> <p>Background</p> <p>Targeting older clients for rehabilitation is a clinical challenge and a research priority. We investigate the potential of machine learning algorithms – Support Vector Machine (SVM) and <it>K</it>-Nearest Neighbors (KNN) – to guide rehabilitation planning for home care clients.</p> <p>Methods</p> <p>This study is a secondary analysis of data on 24,724 longer-term clients from eight home care programs in Ontario. Data were collected with the RAI-HC assessment system, in which the Activities of Daily Living Clinical Assessment Protocol (ADLCAP) is used to identify clients with rehabilitation potential. For study purposes, a client is defined as having rehabilitation potential if there was: i) improvement in ADL functioning, or ii) discharge home. SVM and KNN results are compared with those obtained using the ADLCAP. For comparison, the machine learning algorithms use the same functional and health status indicators as the ADLCAP.</p> <p>Results</p> <p>The KNN and SVM algorithms achieved similar substantially improved performance over the ADLCAP, although false positive and false negative rates were still fairly high (FP > .18, FN > .34 versus FP > .29, FN. > .58 for ADLCAP). Results are used to suggest potential revisions to the ADLCAP.</p> <p>Conclusion</p> <p>Machine learning algorithms achieved superior predictions than the current protocol. Machine learning results are less readily interpretable, but can also be used to guide development of improved clinical protocols.</p

Ratio profiles for all 19 covariates, together with their ratio profile scores

<p><b>Copyright information:</b></p><p>Taken from "Using machine learning algorithms to guide rehabilitation planning for home care clients"</p><p>http://www.biomedcentral.com/1472-6947/7/41</p><p>BMC Medical Informatics and Decision Making 2007;7():41-41.</p><p>Published online 20 Dec 2007</p><p>PMCID:PMC2235834.</p><p></p

Care Planning at the End-of-Life: Potential Use of the interRAI Palliative Care Assessment Instrument Clinical Assessment Protocols (interRAI PC CAPs) to Identify the Needs of Persons Receiving Palliative Home Care Services in Ontario, Canada

Relief from pain and distressing symptoms associated with a life limiting illness is an issue relevant to all Canadians. Provision of high quality care for persons nearing the end of life may improve the health and quality of life of the person and affects the health and well-being of members of their informal support network including family, friends, and caregivers. Palliative care, a person-centered approach to care for persons faced with a life limiting illness and their informal support network, focuses on the ‘total person’ or ‘whole self’ addressing the multifaceted complex needs of each person on an individualized basis. Palliative care is recognized by the World Health Organization (WHO) to be “achieved through prevention and relief of suffering by means of early identification, comprehensive assessment, and treatment of pain and physical, psychosocial, or spiritual problems” (World Health Organization [WHO], 2010). The palliative care philosophy prioritizes self-determination of the person and supports their engagement in the care planning and decision making process across the illness trajectory. Approximately one fifth of persons who die annually experience unrelieved suffering (Doyle & Woodruff, 2013). Persons nearing the end-of-life face can face a wide range of challenges that may include: uncontrollable pain and physical symptoms, unresolved and emotionally distressing psycho-social issues, and fear of one’s own mortality and of an unknown future. Nearly two thirds of Canadians who die each year may benefit from palliative care (Canadian Hospice Palliative Care Association [CHPCA], 2010), however only approximately one in eight of those persons are able to access palliative care services (Carstairs & Beaudoin, 2000). Comprehensive clinical assessment supports clinicians to make evidence-informed decisions and promotes a person-centered approach to care planning. The interRAI Palliative Care assessment instrument (interRAI PC) is a comprehensive standardized assessment instrument, designed for use by facility and community based palliative care services, with applications that include care planning, outcome measurement, quality monitoring, and resource allocation (Hirdes et al., 1999; Steel, et al., 2003; Gray, et al., 2009; Hirdes et al., 2008). Using pilot data gathered from the interRAI PC, this thesis examines the potential use of interRAI PC assessment data, and in particular how evidence from the interRAI PC Clinical Assessment Protocols (CAPs) has the potential to inform individualized care plan development for persons with a life limiting illness. This thesis begins with a scoping literature search that describes palliative care in a Canadian context and explores care planning with the interRAI PC. This is followed by three research based chapters (Chapters 6, 7, and 8) that include analysis based on pilot data gathered between 2006 and 2011 using the interRAI PC assessment instrument. Community dwelling persons with a life limiting illness receiving palliative home care services in six geographic locations across Ontario, Canada, were included in these analyses. Persons with a life limiting illness residing in institutional or hospice facilities, or in jurisdictions outside of Ontario, were excluded. Analyses were performed using SAS Version 9.2 with an alpha level of p< 0.05 for all statistical tests unless otherwise stated. The University of Waterloo’s Office of Research Ethics granted ethics clearance for this research (ORE# 19424) November 29th, 2013. The first research chapter (Chapter 6) describes how clinicians may use the interRAI PC Clinical Assessment Protocols (CAPs) to inform care planning. It includes an overview of the suite of eight CAPs and provides a background description of the CAP development process. Discussion addresses the unique distributional characteristics of each CAP and describes a hierarchical triggering structure. Following, chapter six which provides an overview of the interRAI PC CAPs from a broad perspective; chapter seven (the second research chapter) takes a more in-depth focus investigating the Dyspnea CAP. Dyspnea was selected as the symptom of focus because it is the one of the most commonly triggered CAPs affecting nearly half of the sample palliative home care population used in this thesis and is reported to be one of the most distressing symptoms affecting both the person faced with a life limiting illness and their informal caregivers (Ng &von Gunten, 1998; Potter, Hami, Bryan, & Quigley, 2003; Dellon et al., 2010; Kroenke, Johns, Theobald, Wu, & Tu 2013). Chapter seven examines the Dyspnea CAP and describes the prevalence of dyspnea. This chapter demonstrates the relationship between dyspnea and prognosis as well as other clinical factors. Moreover, how the presence of dyspnea changes over time is examined and person-level characteristics, some of which are potentially amenable to change, that affect the risk for dyspnea over time are identified. In addition, risk and protective factors for persons who over time developed new dyspnea symptoms and for those who recovered from dyspnea are examined. Recognizing that a hallmark of the palliative care philosophy is its aim to provide the highest quality of care and support for both the person nearing the end of life and members of their care network including their informal caregivers, the third research chapter (Chapter 8) examines distress experienced by both the caregiver and the care recipient as a unit of care. As quality palliative care may increase satisfaction with care, improve global quality of life for client and their caregiver, reduce physical symptoms like dyspnea, decrease signs of depression or anxiety, and improve access to health care resources (Kane, Bernstein, Wales, Leibowitz, & Kaplan, 1984; Melin-Johansson, Axelsson, Gaston-Johansson, & Danielson, 2010) the association between the presence of dyspnea and distress experienced by members of the caregiver-client unit of care is examined to illustrate how dyspnea relates to distress, a major problem affecting over half of the caregiver-client units of care. Together, findings from this thesis show that if one or more interRAI PC CAPs are triggered then the clinician should take notice. Data from the interRAI PC and more specifically from the interRAI PC CAPs examined in this thesis provide evidence on their potential to inform greater understanding of the complex needs of palliative home care clients. Better understanding of the interRAI PC CAPs and identification of patterns in CAP triggering structure suggest symptoms where clinicians may focus increased attention. To address the accumulative complex needs of persons who are faced with a life-limiting illness and the needs of their caregivers, resource allocation focused on evidence gathered from a comprehensive standardized assessment instrument should be prioritized

Comparing the Functional Independence Measure and the interRAI/MDS for use in the functional assessment of older adults

Background: The rehabilitation of older persons is often complicated by increased frailty and medical complexity – these in turn present challenges for the development of health information systems. Objective investigation and comparison of the effectiveness of geriatric rehabilitation services requires information systems that are comprehensive, reliable, valid, and sensitive to clinically relevant changes in older persons. The Functional Independence Measure is widely used in rehabilitation settings – in Canada this is used as the central component of the National Rehabilitation Reporting System of the Canadian Institute of Health Information. An alternative system has been developed by the interRAI consortium. We conducted a literature review to compare the development and measurement properties of these two systems and performed a direct empirical comparison of the operating characteristics and validity of the FIM motor and the ADL items on the PAC in a sample of older adults receiving rehabilitation. Methods: For the first objective english language literature published between 1983 (initial development of the FIM) and 2008 was searched using Medline and CINAHL databases, and the reference lists of retrieved articles. Additionally, attention was paid to the ability of the two systems to address issues particularly relevant to older rehabilitation clients, such as medical complexity, comorbidity, and responsiveness to small but clinically meaningful improvements. For the second objective we used Rasch analysis and responsiveness statistics to investigate and compare the instruments dimensionality, item difficulty, item fit, differential item function, number of response options and ability to detect clinically relevant change. Results: The majority of FIM articles studied inpatient rehabilitation settings; while the majority of interRAI/MDS articles focused on nursing home settings. There is evidence supporting the reliability of both instruments. There were few articles that investigated the construct validity of the interRAI/MDS. The analysis showed that the FIM may be slightly more responsive than the PAC, especially in the MSK patients. However, both scales had similar limitations with regards the large ceiling effect and many unnecessary response options. Conclusions: Additional psychometric research is needed on both the FIM and MDS, especially with regard to their use in different settings and ability to discriminate between subjects with functional higher ability