Non-Pharmacological Interventions in the Management of Dementia-Related Psychosis: A Systematic Review and Meta-Analysis.

OBJECTIVE: As populations age globally, there is an increasing prevalence of dementia, with an estimated 153 million living with dementia by 2050. Up to 70% of people with dementia experience dementia-related psychosis (D-RP). Antipsychotic medications are associated with many adverse effects in older people. This review aims to evaluate the evidence of non-pharmacological interventions in managing D-RP. METHOD: The search of Medline, EMBASE, Web of Science, CINAHL, PsycINFO, and Cochrane included randomised controlled trials that evaluated non-pharmacological interventions. Data extraction and assessment of quality were assessed independently by two researchers. Heterogenous interventions were pooled using meta-analysis. RESULTS: A total of 18 articles (n = 2040 participants) were included and categorised into: sensory-, activity-, cognitive- and multi-component-orientated. Meta-analyses showed no significant impact in reducing hallucinations or delusions but person-centred care, cognitive rehabilitation, music therapy, and robot pets showed promise in single studies. CONCLUSIONS AND IMPLICATIONS: Future interventions should be developed and evaluated with a specific focus on D-RP as this was not the aim for many of the included articles.

Non-pharmacological interventions in the management of dementia-related psychosis.

BACKGROUND: It is estimated 20-70% of those living with a dementia diagnosis experience dementia-related psychosis (D-RP). D-RP results in decreased quality of life, increased carer burden, increased rapid cognitive decline, increased need for primary care support, and earlier care/nursing home admission, all which come at a considerable cost to the NHS. Antipsychotic medications prescribed by primary care services are typically used as treatment but have short-term efficacy and dangerous side effects. Effective management with the use of non-pharmacological interventions could safely improve the quality of life of those living with dementia, as well as reduce burden on primary care services and GPs. AIM: To evaluate the effectiveness of non-pharmacological interventions in the management of D-RP. Studies that measure the effect of non-pharmacological interventions on patient or caregiver quality of life or determine the cost-effectiveness and safety of non-pharmacological interventions against antipsychotic medications will also be included. METHOD: A global systematic literature review was conducted in Medline, Embase, PsychInfo, CINAHL, Web of Science, and CENTRAL. Included studies were analysed using meta-analysis and narrative synthesis. The protocol is registered with PROSPERO (ID: CRD42022294750). RESULTS: Data extraction of 18 included papers revealed 4 interventions to show evidence of efficacy in improving D-RP in older adults. Person-centred care, robot pets, cognitive rehabilitation, and music therapy significantly decreased psychosis in care homes and in participants living at home. These results are discussed, and implications noted. CONCLUSION: Future RCTs should focus on specifically improving D-RP, as this was not the primary aim for many interventions.

Behavior Change Techniques Within Digital Interventions for the Treatment of Eating Disorders: Systematic Review and Meta-Analysis.

BACKGROUND: Previous systematic reviews of digital eating disorder interventions have demonstrated effectiveness at improving symptoms of eating disorders; however, our understanding of how these interventions work and what contributes to their effectiveness is limited. Understanding the behavior change techniques (BCTs) that are most commonly included within effective interventions may provide valuable information for researchers and developers. Establishing whether these techniques have been informed by theory will identify whether they target those mechanisms of action that have been identified as core to changing eating disorder behaviors. It will also evaluate the importance of a theoretical approach to digital intervention design. OBJECTIVE: This study aims to define the BCTs within digital self-management interventions or minimally guided self-help interventions for adults with eating disorders that have been evaluated within randomized controlled trials. It also assessed which of the digital interventions were grounded in theory and the range of modes of delivery included. METHODS: A literature search identified randomized controlled trials of digital intervention for the treatment of adults with eating disorders with minimal therapist support. Each digital intervention was coded for BCTs using the established BCT Taxonomy v1; for the application of theory using an adapted version of the theory coding scheme (TCS); and for modes of delivery using the Mode of Delivery Ontology. A meta-analysis evaluated the evidence that any individual BCT moderated effect size or that other potential factors such as the application of theory or number of modes of delivery had an effect on eating disorder outcomes. RESULTS: Digital interventions included an average of 14 (SD 2.6; range 9-18) BCTs. Self-monitoring of behavior was included in all effective interventions, with Problem-solving, Information about antecedents, Feedback on behavior, Self-monitoring of outcomes of behavior, and Action planning identified in >75% (13/17) of effective interventions. Social support and Information about health consequences were more evident in effective interventions at follow-up compared with postintervention measurement. The mean number of modes of delivery was 4 (SD 1.6; range 2-7) out of 12 possible modes, with most interventions (15/17, 88%) being web based. Digital interventions that had a higher score on the TCS had a greater effect size than those with a lower TCS score (subgroup differences: χ21=9.7; P=.002; I²=89.7%) within the meta-analysis. No other subgroup analyses had statistically significant results. CONCLUSIONS: There was a high level of consistency in terms of the most common BCTs within effective interventions; however, there was no evidence that any specific BCT contributed to intervention efficacy. The interventions that were more strongly informed by theory demonstrated greater improvements in eating disorder outcomes compared to waitlist or treatment-as-usual controls. These results can be used to inform the development of future digital eating disorder interventions. TRIAL REGISTRATION: PROSPERO CRD42023410060; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=410060.

Effectiveness of complex behaviour change interventions tested in randomised controlled trials for people with multiple long-term conditions (M-LTCs): systematic review with meta-analysis.

INTRODUCTION: The prevalence of multiple long-term conditions (M-LTCs) increases as adults age and impacts quality of life and health outcomes. To help people manage these conditions, complex behaviour change interventions are used, often based on research conducted in those with single LTCs. However, the needs of those with M-LTCs can differ due to complex health decision-making and engagement with multiple health and care teams. OBJECTIVES: The aim of this review is to identify whether current interventions are effective for people living with M-LTCs, and which outcomes are most appropriate to detect this change. METHODS: Five databases (MEDLINE, Embase, PsycINFO, CINAHL and Web of Science) were systematically searched, between January 1999 and January 2022, to identify randomised controlled trials evaluating effectiveness of behaviour change interventions in people with M-LTCs. Intervention characteristics, intervention effectiveness and outcome measures were meta-analysed and narratively synthesised. RESULTS: 53 eligible articles were included. Emotional well-being and psychological distress (depression and anxiety) outcomes were most amenable to change (emotional well-being: standardised mean difference (SMD) 0.31 (95% CI 0.04 to 0.58); depression psychological distress: SMD -0.45 (95% CI -0.73 to -0.16); anxiety psychological distress: SMD -0.14 (95% CI -0.28 to 0.00)), particularly for interventions with a collaborative care approach. Interventions targeting those with a physical and mental health condition and those with cognitive and/or behavioural activation approach saw larger reductions in psychological distress outcomes. Interventions that lasted for longer than 6 months significantly improved the widest variety of outcomes. CONCLUSION: Complex interventions can be successfully delivered to those with M-LTCs. These are most effective at reducing psychological distress in those with physical and mental LTCs. Further research is needed to identify the effective components of interventions for people with two or more physical LTCs and which outcome is most appropriate for detecting this change.