Tracking Changes in Participation With Participation Measurement Scale in Community-Dwelling Stroke Survivors in Africa

Kossi, Oyéné; Thonnard, Jean-Louis

doi:10.1016/j.apmr.2018.03.021

Cited by 11 publications

(2 citation statements)

References 28 publications

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“…Referring to similar previous studies (Kossi & Thonnard, 2018; Kumar et al, 2019; Matsumoto et al, 2019), a linear mixed‐effect model was constructed to analyse associations between sleep latency and environmental data during sleep latency, specifying random intercepts for individual participants. The random‐effect intercept corresponded to inter‐individual variance while the residual corresponded to intra‐individual variance; the aim of this analysis was to estimate these effects separately.…”

Section: Methodsmentioning

confidence: 99%

Environmental factors related to sleep latency among inpatients in rehabilitation wards according to functional independence measure cognitive scores

Fukui

Ohama

Hattori

2021

Int J of Nursing Practice

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Background: No study has investigated sleep-related environmental factors in patients according to their functional independence measure (FIM) cognitive scores. Aims:The aim of this study is to examine the associations between environmental factors such as noise and sleep latency according to the FIM cognitive scores among inpatients in rehabilitation wards.Design: This is a prospective longitudinal study.Methods: This study measured the sleep state using a bed-based actigraphy, environmental data from Environmental Sensor ® , and medical record information of 33 inpatients in the rehabilitation wards during 2018. A linear mixed-effect model was used to analyse the associations between sleep latency and environmental factors. Participants were grouped according to high or low FIM cognitive scores. Results:The average patient age was 77.2 ± 10.9 years, and 48.5% were male. In the high FIM cognitive score group, the loudness and frequency of noise exceeding 40 dB during sleep latency were significantly associated with sleep latency. In the low FIM cognitive score group, only the noise frequency was associated with sleep latency, and intra-individual variance was larger than that of the high group. Conclusion:These findings suggest that providing night care with attention to subdued noise is important, particularly for patients with low cognitive functional independence levels measured by the FIM cognitive score.

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Section: Methodsmentioning

confidence: 99%

Environmental factors related to sleep latency among inpatients in rehabilitation wards according to functional independence measure cognitive scores

Fukui

Ohama

Hattori

2021

Int J of Nursing Practice

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“…4, 8, 9 Consequently, there is a growing interest into valid and reliable participation-related outcome measures serving as guiding principles through rehabilitation. 10–15 Rehabilitation is considered as one of the core health strategies of the WHO. 16, 17 In the World Report on Disability, the WHO defines rehabilitation as ‘a set of measures that assist individuals, who experience or are likely to experience disability, to achieve and maintain optimum functioning in interaction with their environments.’ 1 The focus of rehabilitation is directed to improving impairments and reducing activity limitations while addressing participation restrictions and taking into account the contextual factors.…”

Section: Introductionmentioning

confidence: 99%

Efficacy of rehabilitation interventions evaluated in common neurological conditions in improving participation outcomes: A systematic review

Kossi,

Raats,

Wellens

et al. 2023

Clin Rehabil

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Objective Modern clinical rehabilitation practice aligned to the International Classification of Functioning, Disability and Health and the Convention on the Rights of Persons with Disabilities highlights the importance of attention to participation in the rehabilitation formulation. This systematic review investigates the efficacy of rehabilitation interventions evaluated in common neurological disorders reported to influence participation outcomes. Data sources PubMed, Web of Science and PsycINFO databases were searched from inception to 25 April 2023. Only randomised controlled trials were considered for inclusion. Review methods The data were extracted by two independent reviewers in the following categories: characteristics of the included study publications, description of intervention and outcome measures. Results A total of 1248 unique article records were identified through the databases. Twenty-eight randomized controlled trials were included with 15 publications having participation as a primary outcome measure. Articles were related to multiple sclerosis ( N = 4), spinal cord injury ( N = 2), stroke ( N = 16) and traumatic brain injury ( N = 6). Four publications showed significant differences in pre- and post-intervention within experimental groups. All four articles described participation as primary outcome measure. Conclusion There is a limited evidence of the identified rehabilitation interventions to improve participation in common neurological conditions. However, there was a paucity of articles involving individual with Parkinson's disease that met the inclusion criteria.

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Determinants of Social Participation at 1, 3, and 6 Months Poststroke in Benin

Kossi

Nindorera

Adoukonou

et al. 2019

Archives of Physical Medicine and Rehabilitation

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Tracking Changes in Participation With Participation Measurement Scale in Community-Dwelling Stroke Survivors in Africa

Cited by 11 publications

References 28 publications

Environmental factors related to sleep latency among inpatients in rehabilitation wards according to functional independence measure cognitive scores

Environmental factors related to sleep latency among inpatients in rehabilitation wards according to functional independence measure cognitive scores

Efficacy of rehabilitation interventions evaluated in common neurological conditions in improving participation outcomes: A systematic review

Determinants of Social Participation at 1, 3, and 6 Months Poststroke in Benin

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