Developing the New Interventions for independence in Dementia Study (NIDUS) theoretical model for supporting people to live well with dementia at home for longer: a systematic review of theoretical models and Randomised Controlled Trial evidence.

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Title: Developing the New Interventions for independence in Dementia Study (NIDUS) theoretical model for supporting people to live well with dementia at home for longer: a systematic review of theoretical models and Randomised Controlled Trial evidence.
Authors: Lord, Kathryn (AUTHOR), Beresford-Dent, Jules (AUTHOR), Rapaport, Penny (AUTHOR), Burton, Alex (AUTHOR), Leverton, Monica (AUTHOR), Walters, Kate (AUTHOR), Lang, Iain (AUTHOR), Downs, Murna (AUTHOR), Manthorpe, Jill (AUTHOR), Boex, Sue (AUTHOR), Jackson, Joy (AUTHOR), Ogden, Margaret (AUTHOR), Cooper, Claudia (AUTHOR)
Source: Social Psychiatry & Psychiatric Epidemiology. Jan2020, Vol. 55 Issue 1, p1-14. 14p.
Subjects: Meta-analysis, Dementia, Expert evidence, Product recovery, Quality of life, Treatment of dementia, Home nursing, Online information services, Social services case management, Mathematical models, Systematic reviews, Independent living, Psychology of caregivers, Theory, MEDLINE
Abstract: Purpose: To build an evidence-informed theoretical model describing how to support people with dementia to live well or for longer at home.Methods: We searched electronic databases to August 2018 for papers meeting predetermined inclusion criteria in two reviews that informed our model. We scoped literature for theoretical models of how to enable people with dementia to live at home independently, with good life quality or for longer. We systematically reviewed Randomised Controlled Trials (RCTs) reporting psychosocial intervention effects on time lived with dementia at home. Two researchers independently rated risk of bias. We developed our theoretical model through discussions with experts by personal, clinical and academic experiences, informed by this evidence base.Results: Our scoping review included 52 studies. We divided models identified into: values and approaches (relational and recovery models; optimising environment and activities; family carer skills and support); care strategies (family carer-focused; needs and goal-based; self-management); and service models (case management; integrated; consumer-directed). The 11 RCTs included in our systematic review, all judged at low risk of bias, described only two interventions that increased time people with dementia lived in their own homes. These collectively encompassed all these components except for consumer-directed and integrated care. We developed and revised our model, using review evidence and expert consultation to define the final model.Conclusions: Our theoretical model describes values, care strategies and service models that can be used in the design of interventions to enable people with dementia to live well and for longer at home.Trial Registration: PROSPERO 2018 registration number: CRD42018099693 (scoping review). PROSPERO 2018 registration number: CRD42018099200 (RCT systematic review). [ABSTRACT FROM AUTHOR]
Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Developing the New Interventions for independence in Dementia Study (NIDUS) theoretical model for supporting people to live well with dementia at home for longer: a systematic review of theoretical models and Randomised Controlled Trial evidence.
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  Data: <bold>Purpose: </bold>To build an evidence-informed theoretical model describing how to support people with dementia to live well or for longer at home.<bold>Methods: </bold>We searched electronic databases to August 2018 for papers meeting predetermined inclusion criteria in two reviews that informed our model. We scoped literature for theoretical models of how to enable people with dementia to live at home independently, with good life quality or for longer. We systematically reviewed Randomised Controlled Trials (RCTs) reporting psychosocial intervention effects on time lived with dementia at home. Two researchers independently rated risk of bias. We developed our theoretical model through discussions with experts by personal, clinical and academic experiences, informed by this evidence base.<bold>Results: </bold>Our scoping review included 52 studies. We divided models identified into: values and approaches (relational and recovery models; optimising environment and activities; family carer skills and support); care strategies (family carer-focused; needs and goal-based; self-management); and service models (case management; integrated; consumer-directed). The 11 RCTs included in our systematic review, all judged at low risk of bias, described only two interventions that increased time people with dementia lived in their own homes. These collectively encompassed all these components except for consumer-directed and integrated care. We developed and revised our model, using review evidence and expert consultation to define the final model.<bold>Conclusions: </bold>Our theoretical model describes values, care strategies and service models that can be used in the design of interventions to enable people with dementia to live well and for longer at home.<bold>Trial Registration: </bold>PROSPERO 2018 registration number: CRD42018099693 (scoping review). PROSPERO 2018 registration number: CRD42018099200 (RCT systematic review). [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00127-019-01784-w
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