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Introduction Short cognitive screening instruments (CSIs) are widely used to stratify patients presenting with cognitive symptoms. The Quick Mild Cognitive Impairment (Qmci) screen is a new, brief ( Methods Consecutive patients aged ≥55 years presenting with cognitive complaints were recruited from two outpatient clinics in Greece. All patients completed the Qmci-Gr and SMMSE and underwent an independent detailed neuropsychological assessment to determine a diagnostic classification. Results In total, 140 patients, median age 75 years, were included; 30 with mild dementia (median SMMSE 23/30), 76 with MCI and 34 with subjective memory complaints (SMC) but normal cognition. The Qmci-Gr had similar accuracy in differentiating SMC from cognitive impairment (MCI & mild dementia) compared with SMMSE, area under the curve (AUC) of 0.84 versus 0.79, respectively; while accuracy was higher for the Qmci-Gr, this finding was not significantly different, (p = .19). Similarly, the Qmci-Gr had similar accuracy in separating SMC from MCI, AUC of 0.79 versus 0.73 (p = .23). Conclusions The Qmci-Gr compared favorably with the SMMSE. Further research with larger samples and comparison with other instruments such as the Montreal Cognitive Assessment is needed to confirm these findings but given its established brevity, it may be a better choice in busy clinical practice in Greece.

During this unprecedented and ongoing pandemic, the need for healthcare professionals to prognosticate has arguably never been greater (1). Early risk-stratification of older adults admitted with COVID-19 is particularly important to mobilise healthcare professionals to manage their often complex care needs (2). Although frail older adults have higher mortality with COVID-19, given their inherent heterogeneity, predicting outcomes in this population is challenging (3). Multiple scales are available to risk-stratify patients with COVID-19 (4). Despite this, their predictive validity among those who are frail and hence, at highest risk of mortality and critical illness, is not yet established.

Background : Frailty is associated with a prodromal stage called pre-frailty, a potentially reversible and highly prevalent intermediate state before frailty becomes established. Despite being widely-used in the literature and increasingly in clinical practice, it is poorly understood. Objective : To establish consensus on the construct and approaches to diagnose and manage pre-frailty. Methods : We conducted a modified (electronic, two-round) Delphi consensus study. The questionnaire included statements concerning the concept, aspects and causes, types, mechanism, assessment, consequences, prevention and management of pre-frailty. Qualitative and quantitative analysis methods were employed. An agreement level of 70% was applied. Results : Twenty-three experts with different backgrounds from 12 countries participated. In total 70 statements were circulated in Round 1. Of these, 52.8% were accepted. Following comments, 51 statements were re-circulated in Round 2 and 92.1% were accepted. It was agreed that physical and non-physical factors including psychological and social capacity are involved in the development of pre-frailty, potentially adversely affecting health and health-related quality of life. Experts considered pre-frailty to be an age-associated multi-factorial, multi-dimensional, and non-linear process that does not inevitably lead to frailty. It can be reversed or attenuated by targeted interventions. Brief, feasible, and validated tools and multidimensional assessment are recommended to identify pre-frailty. Conclusions : Consensus suggests that pre-frailty lies along the frailty continuum. It is a multidimensional risk-state associated with one or more of physical impairment, cognitive decline, nutritional deficiencies and socioeconomic disadvantages, predisposing to the development of frailty. More research is needed to agree an operational definition and optimal management strategies.

Background: Prompt and efficient identification and stratification of patients who are frail is important, as this cohort are at high risk of adverse healthcare outcomes. Numerous frailty screening tools have been developed to support their identification across different settings, yet relatively few have emerged for use in emergency departments (EDs). This protocol provides details for a systematic review aiming to synthesize the accumulated evidence regarding the diagnostic accuracy and clinimetric properties of frailty screening instruments to identify frail older adults in EDs. Methods: Six electronic databases will be searched from January 2000 to March 2021. Eligible studies will include adults aged ≥60 years screened in EDs with any available screening instrument to identify frailty (even if not originally designed for this purpose). Studies, including case-control, longitudinal, and cohort studies, will be included, where instruments are compared to a reference standard to explore diagnostic accuracy. Predictive accuracy for a selection of outcomes, including mortality, institutionalization, and readmission, will be assessed. Clinical and methodological heterogeneity will be examined, and a random effects meta-analysis performed if appropriate. Conclusion: Understanding whether frailty screening on presentation to EDs is accurate in identifying frailty, and predicting these outcomes is important for decision-making and targeting appropriate management.

Background Two of the most important recommendations for preventing the spread of COVID-19 are mask wearing and social distancing. This study assesses the prevalence of these behaviors and their cross-sectional association with COVID-19 among middle-aged and older adults in Europe. Methods This study presents findings from the Survey of Health Aging and Retirement in Europe COVID-19 interviews conducted in 26 European countries in 2020. Frequent mask wearing and social distancing outside the home were categorised as “always” or “often” compared with “sometimes” or “never”. COVID-19 status (positive test or hospitalisation) was self-reported. Participants were excluded if they were nursing homes residents, aged Results The sample (n = 40,647 aged 50-101), with survey weighting, had a mean age of 66 years, 52% were female and 0.8% reported positive for COVID-19. Frequent mask wearing was reported by 82% (range: 2% in Sweden to 99% in Czech Republic), and frequent social distancing by 96% (range: 82% in Slovakia to 99% in Spain). According to unweighted adjusted odds ratios frequent social distancing was associated with lower self-reported COVID-19 (OR: 0.43 95% CI: 0.24-0.76, p = 0.004). Applying survey weighting the adjusted odds ratios were 4.19 (3.07-5.71, p < 0.001) and 0.36 (0.09-1.47, p = 0.156] for mask wearing and social distancing, respectively. Conclusions The self-reported frequency of adherence to public health recommendations (mask wearing and social distancing) by middle-aged and older Europeans varied significantly between countries in the first year of the pandemic. Social distancing measures may be most effective in this population. Key messages This large survey found that the frequency of mask wearing and social distancing for adults aged ≥50 varied significantly across 26 European countries in the first year of the pandemic. Frequent self-reported social distancing was cross-sectionally associated with reduced self-reported COVID-19 infection. Further longitudinal research is needed.

Introduction: Disturbed cognitive function may influence physical function and vice versa. In LUCAS, comprehensive functional and psychosocial data were gathered from each cohort member at 6 waves in 2-year intervals between 2007 and 2017. Our research question concerned the temporal relation between depressed mood (DM) and basic activities of daily living (bADL). Methods: LUCAS comprised n = 2012 persons in 2007, mean age 76.2 years, 63.1% women; in 2017 n = 776, mean age 82.8 years, 61.9% women. DM was defined ‘‘During the last month, have you felt so down in the dumps that nothing could cheer you up?’’ (yes); bADL dependency ‘‘Do you need help from someone else with any of the following? (a) feeding yourself (b) getting to the toilet (c) dressing yourself (d) bathing yourself (e) moving from bed to chair or standing up’’ (yes). Using data from two successive waves, we did two tabu- lations per wave-pair: eg. (1) DM from 2007 vs. new bADL from 2009, (2) bADL from 2007 vs. newDM in 2009; similarly for the other 4 wave-pairs between 2009 and 2017. Results: Twenty-five of 1321 (1.9%) non-depressed and 8/145 (5.5%) depressed persons in 2007 had developed bADL-dependency by wave 2009 (OR 3.03; Fisher p = 0.012). Age-sex-adjusted: OR 3.09; 95%; c.i. 1.343–7.126, LR p = 0.008). Conversely, 62/1314 (4.7%) in 2007 bADL-independent and 3/37 (8.1%) bADL-dependent persons had developed DM by wave 2009 (OR 1.78, Fisher p = 0.419). After adjustment: OR 1.76; 95%; c.i. 0.507–6.090, p = 0.374. Analyses for the remaining 4 wave-pairs showed the same pattern. Key conclusions: Depressive mood at wave 9 increases the risk of new bADL-dependency at wave x ? 1. Conversely, bADL-depen- dency at wave 9 does not significantly increase the risk of new depression at wave x + 1.

Background The Royal College of Physicians of Ireland and the National Clinical Programme for Older People conducted a national survey of Specialist Geriatric Services (SGS) in 2014. The survey was repeated in 2018-2019 period to collect data on the resources available for the care of older people attending hospitals and associated communities in Ireland. Methods Participants were geriatrician leads or proxies in each hospital in Ireland. Questions based on the 2014 survey were updated to include frailty and dementia-delirium specific questions. Data were collected between September 2018 and April 2019 using an electronic survey. Comments from open-ended questions were analysed using qualitative analysis methods. Results In total, 20 fully complete and 18 incomplete responses were received. Most complete responses were from model 3 or 4 hospitals (n= 14/20). Less than half (47%) reported having a dedicated specialist geriatric ward in their institution. Half (50%) reported currently developing an integrated plan for services for frail older people with complex care needs. Barriers to managing frailty that were identified included limited access to funding and staffing. 82% reported that their group/area/unit/department engaged in case-finding for frailty. The most commonly used frailty-specific screening tools were the CFS (n=9), VIP (n=6), FRAIL scale (n=4), and PRISMA-7 (n=3). A National Frailty Education Programme governance structure was operational in 9/20 sites. Half (50%) reported that their hospital has an integrated pathway for people with dementia and/or delirium, although (82%) stated that their hospital does not formally screen all older people for cognitive impairment in the ED/AMAU, and does not formally screen people at risk for delirium on wards on a daily basis (100%). Conclusion Limited staffing and resources were reported for many aspects of SGS in Ireland. Although frailty and dementia-delirium are recognised as priority areas, there is need for standardised assessment and screening approaches.

Background Frailty is associated with a prodromal stage called pre-frailty, a potentially reversible and highly prevalent condition before frailty becomes established. Despite this, there is no widely accepted definition of pre-frailty to support its early identification and management. This study applied an international consensus approach to define and better understand pre-frailty. Methods A modified electronic two-round Delphi Consensus study was conducted. In all, 23 experts from 12 countries with different backgrounds participated. The questionnaire was developed following a systematic literature review. An online consensus meeting was conducted with eight Delphi participants and two external experts. Qualitative and quantitative methods were employed for data analysis. An agreement level of 70% was applied for accepting statements. Results A total of 71 statements were circulated in Round 1. Of these, 52.8% were accepted. Fifty-one statements were re-circulated in Round 2, of which 92.1% were accepted. The online consensus meeting produced a consensus statement describing the concept, multi-factorial nature, and mechanism of pre-frailty as well as assessment, prevention and management approaches. All experts agreed that physical and non-physical factors such as psychological and social capacity are involved in the development of pre-frailty, potentially adversely affecting health and health-related quality of life outcomes. Practitioners should regard pre-frailty as a multi-factorial, multi-dimensional, and non-linear process that does not inevitably lead to frailty. It might be reversed or attenuated by targeted interventions. Brief, feasible and validated tools are recommended for opportunistic screening or case-finding followed by confirmation with multi-dimensional assessment. Conclusion It is difficult to establish consensus on one compact definition of pre-frailty, which is a multi-dimensional concept not only associated with physical impairment, but also with cognitive, nutritional, socioeconomic and other aspects of frailty. However, it may be too early to agree on an operational definition of pre-frailty since none yet exists for frailty.

Background Frailty is a multi-factorial, age-related syndrome, often defined in terms of accumulation of deficits. This approach uses the proportion of a list of age-associated items (signs, symptoms, diseases, impairments, etc.) available to identify frailty. Some frailty indexes (FI) include more functional aspects than others. This study examines whether functional components and diseases or risk factors predict the same phenomena. Methods Data were included from The Survey of Health, Ageing and Retirement in Europe (SHARE) wave seven for participants age ≥50 years. A 52-item FI was constructed from physical health data with 26 functional and 26 non-functional items. Functional items were obtained from activities of daily living questions (ph048 & ph049), and health-related activity limitation (gali question). Non-functional items were obtained from questions on BMI, self-perceived health, disease/risks (ph006), medication use (sleep, anxiety/depression, osteoporosis), and frailty related symptoms (ph048). Participants missing one or more of the 52 items were excluded. Data were analysed at individual and country-level to assess for significant differences. Results In total, 73,510 (97.3%) participants had complete frailty data available and were included. The mean score for the FI-52 was 0.12 (95% CI: 0.11-0.12). Mean FI scores for the functional and non-functional components were 0.12 (95% CI:0.12-0.12) and 0.11 (95% CI:0.11-0.11), respectively, representing a significant difference (p Conclusion Findings suggest that having more functional items in a frailty index results in significantly higher frailty estimates but this only amounted to an approximately 5% difference. Although moderate-strong correlation was observed, further research is needed to investigate if the proportion of functional components influences risk-prediction at population-level.

Aims: To assess the impact of diabetes and frailty on self-rated health, depressive symptoms and quality of life (QoL). Methods: Data were pooled for participants aged ≥50 years from five waves of the Survey of Health, Ageing and Retirement in Europe. Measures included diabetes (self-reported), physical frailty (≥3/5 criteria), low self-rated health (SRH; “poor” or “fair”), depression (screened using the EURO-D ≥4) and low QoL (CASP-12

Frailty in middle-aged and older adults is associated with diabetes-related complications. The impact of and interaction between diabetes and frailty on psychosocial wellbeing and mortality in Ireland for adults aged &ge, 50 years were assessed using data from the Survey of Health, Ageing and Retirement in Europe. Measures included diabetes status (self-reported), frailty phenotype (&ge, 3/5 criteria), low self-rated health (&ldquo, fair&rdquo, or &ldquo, poor&rdquo, ), depression screening (EURO-D index score &ge, 4), and low quality of life (QoL) (CASP-12 index score &lt, 35). Among the 970 participants, those with diabetes (n = 87) were more likely to be frail (23% vs. 8%, p &lt, 0.001), have low self-rated health (46% vs. 19%, 0.001), depression (25% vs. 17%, p = 0.070), and low QoL (25% vs. 18%, p = 0.085). Adjusting for diabetes, age and sex, frailty independently predicted low self-rated health (OR: 9.79 (5.85&ndash, 16.36)), depression (9.82 (5.93&ndash, 16.25)), and low QoL (8.52 (5.19&ndash, 13.97)). Adjusting for frailty, age and sex, diabetes independently predicted low self-rated health (2.70 (1.63&ndash, 4.47)). The age-sex adjusted mortality hazard ratio was highest for frailty with diabetes (4.67 (1.08&ndash, 20.15)), followed by frailty without diabetes (2.86 (1.17&ndash, 6.99)) and being non-frail with diabetes (1.76 (0.59&ndash, 5.22)). Frailty independently predicts lower self-reported wellbeing and is associated with reduced survival, underpinning its role as an integral part of holistic diabetes care.

Background: COVID-19 has disproportionately affected older people. Visiting restrictions introduced since the start of the pandemic in residential care facilities (RCFs) may impact negatively on visitors including close family, friends, and guardians. We examined the effects of COVID-19 visiting restrictions on measures of perceived loneliness, well-being, and carer quality of life (QoL) amongst visitors of residents with and without cognitive impairment (CI) in Irish RCFs. Methods: We created a cross-sectional online survey. Loneliness was measured with the UCLA brief loneliness scale, psychological well-being with the WHO-5 Well-being Index and carer QoL with the Adult Carer QoL Questionnaire (support for caring subscale). Satisfaction with care (“increased/same” and “decreased”) was measured. A history of CI was reported by respondents. Sampling was by convenience with the link circulated through university mail lists and targeted social media accounts for 2 weeks in June 2020. Results: In all, 225 responses were included of which 202 noted whether residents had reported CI. Most of the 202 identified themselves as immediate family (91%) and as female (82%). The majority (67%) were aged between 45 and 64 years. Most (80%) reported that their resident had CI. Approximately one-third indicated reduced satisfaction (27%) or that restrictions had impaired communication with nursing home staff (38%). Median loneliness scores were 4/9, well-being scores 60/100 and carer QoL scores 10/15. Visitors of those with CI reported significantly lower well-being (p = 0.006) but no difference in loneliness (p = 0.114) or QoL (p = 0.305). Reported CI (p = 0.04) remained an independent predictors of lower WHO-5 scores, after adjusting for age, sex, RCF location, and dementia stage (advanced), satisfaction with care (reduced), and perception of staff support measured on the Adult Carer QoL Questionnaire. Conclusion: This survey suggests that many RCF visitors experienced low psychosocial and emotional well-being during the COVID-19 lockdown. Visitors of residents with CI report significantly poorer well-being as measured by the WHO-5 than those without. Additional research is required to understand the importance of disrupted caregiving roles resulting from visiting restrictions on well-being, particularly on visitors of residents with CI and how RCFs and their staff can support visitors to mitigate these.

Key summary points Aim This scoping review examined the effectiveness of intermediate care including transitional care interventions for middle-aged and older adults on function, healthcare utilisation, and costs. Findings While some studies report positive outcomes on hospital utilisation, the evidence is limited for their effectiveness on emergency department attendances, institutionalisation, function, and cost-effectiveness. Message Intermediate care including transitional care interventions were associated with reduced hospital stay but this finding was not universal. Electronic supplementary material The online version of this article (10.1007/s41999-020-00365-4) contains supplementary material, which is available to authorized users., Background and aim Intermediate care describes services, including transitional care, that support the needs of middle-aged and older adults during care transitions and between different settings. This scoping review aimed to examine the effectiveness of intermediate care including transitional care interventions for middle-aged and older adults on function, healthcare utilisation, and costs. Design A scoping review of the literature was conducted including studies published between 2002 and 2019 with a transitional care and/or intermediate care intervention for adults aged ≥ 50. Searches were performed in CINAHL, Cochrane Library, EMBASE, Open Grey and PubMed databases. Qualitative and quantitative approaches were employed for data synthesis. Results In all, 133 studies were included. Interventions were grouped under four models of care: (a) Hospital-based transitional care (n = 8), (b) Transitional care delivered at discharge and up to 30 days after discharge (n = 70), (c) Intermediate care at home (n = 41), and (d) Intermediate care delivered in a community hospital, care home or post-acute facility (n = 14). While these models were associated with a reduced hospital stay, this was not universal. Intermediate including transitional care services combined with telephone follow-up and coaching support were reported to reduce short and long-term hospital re-admissions. Evidence for improved ADL function was strongest for intermediate care delivered by an interdisciplinary team with rehabilitation at home. Study design and types of interventions were markedly heterogenous, limiting comparability. Conclusions Although many studies report that intermediate care including transitional care models reduce hospital utilisation, results were mixed. There is limited evidence for the effectiveness of these services on function, institutionalisation, emergency department attendances, or on cost-effectiveness. Electronic supplementary material The online version of this article (10.1007/s41999-020-00365-4) contains supplementary material, which is available to authorized users.

Frailty is an independent age-associated predictor of morbidity and mortality. Despite this, many countries lack population estimates with large heterogeneity between studies. No population-based standardised metric for frailty is available. We applied the deficit accumulation model of frailty to create a frailty index (FI) using population-level estimates from the Global Burden of Disease (GBD) 2017 study across 195 countries to create a novel GBD frailty index (GBD-FI). Standard FI criteria were applied to all GBD categories to select GBD-FI items. Content validity was assessed by comparing the GBD-FI with a selection of established FIs. Properties including the rate of deficit accumulation with age were examined to assess construct validity. Linear regression models were created to assess if mean GBD-FI scores predicted one-year incident mortality. From all 554 GBD items, 36 were selected for the GBD-FI. Face validity against established FIs was variable. Characteristic properties of a FI&mdash, higher mean score for females and a deficit accumulation rate of approximately 0.03 per year, were observed. GBD-FI items were responsible for 19% of total Disability-Adjusted Life Years for those aged &ge, 70 years in 2017. Country-specific mean GBD-FI scores ranged from 0.14 (China) to 0.19 (Hungary) and were a better predictor of mortality from non-communicable diseases than age, gender, Healthcare Access and Quality Index or Socio-Demographic Index scores. The GBD-FI is a valid measure of frailty at population-level but further external validation is required.

Although there is growing utilisation of intermediate care to improve the health and well-being of older adults with complex care needs, there is no international agreement on how it is defined, limiting comparability between studies and reducing the ability to scale effective interventions. To identify and define the characteristics of intermediate care models. A scoping review, a modified two-round electronic Delphi study involving 27 multi-professional experts from 13 countries, and a virtual consensus meeting were conducted. Sixty-six records were included in the scoping review, which identified four main themes: transitions, components, benefits and interchangeability. These formed the basis of the first round of the Delphi survey. After Round 2, 16 statements were agreed, refined and collapsed further. Consensus was established for 10 statements addressing the definitions, purpose, target populations, approach to care and organisation of intermediate care models. There was agreement that intermediate care represents time-limited services which ensure continuity and quality of care, promote recovery, restore independence and confidence at the interface between home and acute services, with transitional care representing a subset of intermediate care. Models are best delivered by an interdisciplinary team within an integrated health and social care system where a single contact point optimises service access, communication and coordination. This study identified key defining features of intermediate care to improve understanding and to support comparisons between models and studies evaluating them. More research is required to develop operational definitions for use in different healthcare systems.

BACKGROUND Burden of disease (BoD) using disability-adjusted life years (DALY) is a useful summary measure of population health and estimates are provided for Ireland annually. We hypothesized that BoD may be used as a predictor of frailty prevalence. AIM To examine the correlation between frailty measured by the accumulation of deficits (frailty index, FI) and Fried frailty phenotype (FFP) classifications and BoD, in an Irish context. DESIGN Cross-sectional secondary analysis. METHODS Data were obtained from waves two and three of The Survey of Health, Ageing and Retirement in Europe for Irish adults aged ≥65 in 2007. Frailty was defined by a 70-item FI and the FFP. Years lived with disability (YLD), years of life lost (YLL) and DALY were calculated using adapted equations from the World Health Organization and, where possible, disability weights, sequelae and durations as in the Global BoD (GBD) project (2016). RESULTS Of 1035 participants, 442 were ≥65 years. Mean DALY were significantly higher in those identified as frail (FI: 3.31, P < 0.0001, n = 406; FFP: 2.46, P = 0.005, n = 319). For the FI, stronger correlation was found for DALY (r = 0.5431, P < 0.0001) than for age (r = 0.275, P < 0.0001). Controlling for confounders, DALY were an independent predictor of frailty when measured with the FI (OR 1.17, 95% CI: 1.10-1.24) but not with the FFP (OR 1.079, 95%% CI 1.00-1.17). CONCLUSIONS Frailty correlates significantly with DALY, and more so with the FI than the FFP, reaffirming that these measures are different constructs. GBD data could represent a predictor of population-level frailty estimates, facilitating improved comparisons.

Introduction The prevalence of frailty at population level is unclear. We examined this in population-based studies, investigating sources of heterogeneity. Methods PubMed, Embase, CINAHL and Cochrane Library databases were searched for observational population-level studies published between 1 January 1998 and 1 April 2020, including individuals aged ≥50 years, identified using any frailty measure. Prevalence estimates were extracted independently, assessed for bias and analysed using a random-effects model. Results In total, 240 studies reporting 265 prevalence proportions from 62 countries and territories, representing 1,755,497 participants, were included. Pooled prevalence in studies using physical frailty measures was 12% (95% CI = 11–13%; n = 178), compared with 24% (95% CI = 22–26%; n = 71) for the deficit accumulation model (those using a frailty index, FI). For pre-frailty, this was 46% (95% CI = 45–48%; n = 147) and 49% (95% CI = 46–52%; n = 29), respectively. For physical frailty, the prevalence was higher among females, 15% (95% CI = 14–17%; n = 142), than males, 11% (95% CI = 10–12%; n = 144). For studies using a FI, the prevalence was also higher in females, 29% (95% CI = 24–35%; n = 34) versus 20% (95% CI = 16–24%; n = 34), for males. These values were similar for pre-frailty. Prevalence increased according to the minimum age at study inclusion. Analysing only data from nationally representative studies gave a frailty prevalence of 7% (95% CI = 5–9%; n = 46) for physical frailty and 24% (95% CI = 22–26%; n = 44) for FIs. Conclusions Population-level frailty prevalence varied by classification and sex. Data were heterogenous and limited, particularly from nationally representative studies making the interpretation of differences by geographic region challenging. Common methodological approaches to gathering data are required to improve the accuracy of population-level prevalence estimates. Protocol registration PROSPERO-CRD42018105431.

PurposeTo identify transitional palliative care (TPC) interventions for older adults with non-malignant chronic diseases and complex conditions.Design/methodology/approachA systematic review of the literature was conducted. CINAHL, Cochrane Library, Embase and Pubmed databases were searched for studies reporting TPC interventions for older adults, published between 2002 and 2019. The Crowe Critical Appraisal Tool was used for quality appraisal.FindingsA total of six studies were included. Outcomes related to TPC interventions were grouped into three categories: healthcare system-related outcomes (rehospitalisation, length of stay [LOS] and emergency department [ED] visits), patient-related outcomes and family/carer important outcomes. Overall, TPC interventions were associated with lower readmission rates and LOS, improved quality of life and better decision-making concerning hospice care among families. Outcomes for ED visits were unclear.Research limitations/implicationsPositive outcomes related to healthcare services (including readmissions and LOS), patients (quality of life) and families (decision-making) were reported. However, the number of studies supporting the evidence were limited.Originality/valueStudies examining the effectiveness of existing care models to support transitions for those in need of palliative care are limited. This systematic literature review identified and appraised interventions aimed at improving transitions to palliative care in older adults with advanced non-malignant diseases or frailty.

No disease-modifying treatments for dementia are available. Sleep disturbance is strongly associated with cognitive impairment. Non-pharmacological treatments targeting sleep may offer an alternative therapeutic approach. We searched PubMed, CINAHL, EMBASE and the Cochrane library for non-pharmacological treatments for sleep disturbance in mild cognitive impairment (MCI) and dementia, published in English from October 1965 to 2018, including all designs, excluding studies of drug therapies. In all, 53 papers representing 48 studies were included. Participant age ranged from 67.3 to 89.4 years. Most studies (79%) had small samples (50 participants, range 1-173) and were conducted in long-term/residential care (62%). The majority (85%) recruited participants with moderate-severe dementia; mean MMSE scores ranged from 0 to 28.3/30. Four studies examined MCI. Light therapy delivered over 1-10 weeks was the most studied stand-alone intervention (n = 27), and the majority (81.5%) of these studies found improvements on objective or subjective sleep measures, though the evidence was inconclusive with significant clinical and methodological heterogeneity. Seven multi-modal intervention studies were identified, all incorporating light exposure, and six of these reported improved sleep. Other interventions included electrotherapy stimulation (n = 4), physical exercises/activities (n = 4), acupressure/acupuncture (n = 3) and mindfulness/cognitive behavioural therapy (n = 3). Those examining MCI utilised different mono-modal approaches. A meta-analysis of data from randomised controlled trials showed a statistically significant (mean difference = 3.44, 95% CI: 0.89-5.99, I

Objective To identify and examine definitions of frailty using qualitative thematic analysis. Design A qualitative meta-aggregative systematic review. Data sources The database search was performed using ASSIA, CINAHL, Cochrane Library, Embase, PsycINFO, PubMed and Google Scholar databases. Studies providing definitions of frailty, published in English from 1st January 2000 to 25th July 2018 were included. Review methods Data were extracted by independent reviewers for qualitative thematic analysis. Results In total, 86 studies met inclusion criteria. Five major themes with specific sub-themes were identified following thematic analysis including: (1) types of definitions (operational, conceptual, theoretical, older adults’ perspective); (2) characteristics of frailty (a multi-domain and dimensional state, deficits/decline, weakness, a continuum-dynamic concept, clinically identifiable); (3) associated factors (age, comorbidity, nutrition, sarcopenia, social networks and environment); (4) mechanism (reduced adaptability, hormonal dysregulation); and (5) changes in health status and adverse outcomes (disability, increased risk of mortality, other healthcare related outcomes such as increased dependency or risk of falls). Conclusions Several themes were found that defined frailty, focusing predominantly on operational definitions and frailty as a physical syndrome. A universally accepted standard definition, which includes all dimensions of frailty is currently warranted.