Importance Large language models (LLMs) may facilitate the labor-intensive process of systematic reviews. However, the exact methods and reliability remain uncertain. Objective To explore the feasibility and reliability of using LLMs to assess risk of bias (ROB) in randomized clinical trials (RCTs). Design, Setting, and Participants A survey study was conducted between August 10, 2023, and October 30, 2023. Thirty RCTs were selected from published systematic reviews. Main Outcomes and Measures A structured prompt was developed to guide ChatGPT (LLM 1) and Claude (LLM 2) in assessing the ROB in these RCTs using a modified version of the Cochrane ROB tool developed by the CLARITY group at McMaster University. Each RCT was assessed twice by both models, and the results were documented. The results were compared with an assessment by 3 experts, which was considered a criterion standard. Correct assessment rates, sensitivity, specificity, and F1 scores were calculated to reflect accuracy, both overall and for each domain of the Cochrane ROB tool; consistent assessment rates and Cohen kappa were calculated to gauge consistency; and assessment time was calculated to measure efficiency. Performance between the 2 models was compared using risk differences. Results Both models demonstrated high correct assessment rates. LLM 1 reached a mean correct assessment rate of 84.5% (95% CI, 81.5%-87.3%), and LLM 2 reached a significantly higher rate of 89.5% (95% CI, 87.0%-91.8%). The risk difference between the 2 models was 0.05 (95% CI, 0.01-0.09). In most domains, domain-specific correct rates were around 80% to 90%; however, sensitivity below 0.80 was observed in domains 1 (random sequence generation), 2 (allocation concealment), and 6 (other concerns). Domains 4 (missing outcome data), 5 (selective outcome reporting), and 6 had F1 scores below 0.50. The consistent rates between the 2 assessments were 84.0% for LLM 1 and 87.3% for LLM 2. LLM 1's kappa exceeded 0.80 in 7 and LLM 2's in 8 domains. The mean (SD) time needed for assessment was 77 (16) seconds for LLM 1 and 53 (12) seconds for LLM 2. Conclusions In this survey study of applying LLMs for ROB assessment, LLM 1 and LLM 2 demonstrated substantial accuracy and consistency in evaluating RCTs, suggesting their potential as supportive tools in systematic review processes.

The impact of long-term services and supports on the quality of life of adults with intellectual and developmental disabilities (IDD) is not well understood given the highly complex nature of researching this topic. To support future research addressing this topic, we conducted a systematic literature review of studies addressing outcomes of adults with IDD receiving long-term services and supports. Results of this review describe current outcomes for adults with IDD who receive long-term services and supports and can be used to inform program evaluation, policy development, and future research.

OBJECTIVE: To consolidate existing evidence on experiences and perspectives of healthcare providers involved in telemedicine services in long-term residential care. METHODS: A scoping review was conducted. A systematic search for articles published in 2000-2021 was performed in CINAHL, Web of Science, PubMed, EMBASE and Scopus; further, relevant journals and grey literature websites were hand searched. Key search terms included 'telemedicine', 'telehealth' and 'nursing homes'. RESULTS: Twenty-six articles were included. A narrative synthesis of evidence was conducted. The review identified four themes: (1) Presence of multidisciplinary care, (2) perceived usefulness of telemedicine, (3) perceived ease of use and (4) expanded role of nursing home staff. The presence of multidisciplinary care providers provided a wide range of telemedicine services to residents and promoted interprofessional collaboration between acute and long-term care. Telemedicine was perceived to increase timely onsite management by remote specialists, which enabled care quality improvement. However, technical problems associated with equipment usage reduced the ease of use of telemedicine. Concerns emerged from the expanded role of nursing home staff, which could negatively affect clinical decision-making and create medico-legal risks. CONCLUSION AND IMPLICATIONS: Telemedicine is valuable in distance-based care, especially in the current 2019 coronavirus pandemic, for supporting continuity of care to nursing home residents. This review provided evidence from multiple healthcare providers' perspectives. Further research can elucidate their specific roles and responsibilities in telemedicine and challenges in work processes, which will facilitate developing evidence-based competencies and improving technical infrastructure, thus contributing to personal and organisational readiness for telemedicine integration.

The proportion of the elderly population and the number of individuals who experience limitations in performing basic daily activities independently have increased in Türkiye. The need for long-term care (‎LTC)‎ services has dramatically increased based on these driving forces. In addition, the need for LTC services, which were traditionally associated with housewives and non-working women in Türkiye, has also increased because women have become more involved in work outside the home. Many individuals who need assistance to maintain their functional ability cannot receive critical quality care without a significant burden on their families or finances in Türkiye. This requires multi-stakeholder health policy interventions for a solution to the need for LTC services. The Türkiye Institute for Health Policies, the Ministry of Health of Türkiye and the WHO Country Office in Türkiye came together to develop this evidence brief for policy, to be published under the aegis of the WHO European Evidence-informed Policy Network and provide evidence-informed options for policy-makers to tackle LTC-related problems in Türkiye. The work was carried out within the framework of the collaboration between the Türkiye Institute for Health Policies and WHO; it involved the Ministry of Health of Türkiye, high-level national policy institutions and national experts, and was supported by technical experts from the WHO Regional Office for Europe. The Türkiye Institute for Health Policies convened a working group comprising representatives from the Ministry of Health. The group identified, selected, appraised, and synthesized relevant research evidence on the problem; devised three options for tackling it; and weighed considerations in implementing each option.

Purpose: Recurrence of breast cancer leads to a high lifetime risk and a low 5 year survival rate. Researchers have used machine learning to predict the risk of recurrence in patients with breast cancer, but the predictive performance of machine learning remains controversial. Hence, this study aimed to explore the accuracy of machine learning in predicting breast cancer recurrence risk and aggregate predictive variables to provide guidance for the development of subsequent risk scoring systems. Methods: We searched Pubmed, EMBASE, Cochrane, and Web of Science. The risk of bias in the included studies was evaluated using prediction model risk of bias assessment tool (PROBAST). Meta-regression was adopted to explore whether there was a significant difference in the recurrence time by machine learning. Results: Thirty-four studies involving 67,560 subjects were included, among whom 8695 experienced breast cancer recurrence. The c-index of prediction models was 0.814 (95%CI 0.802-0.826) and 0.770 (95%CI 0.737-0.803) in the training and validation sets, respectively; the sensitivity and specificity were 0.69 (95% CI 0.64-0.74), 0.89 (95% CI 0.86-0.92) in the training, and 0.64 (95% CI 0.58-0.70), 0.88 (95% CI 0.82-0.92) in the validation, respectively. Age, histological grading, and lymph node status are the most commonly used variables in model construction. Attention should be paid to unhealthy lifestyles such as drinking, smoking and BMI as modeling variables. Risk prediction models based on machine learning have long-term monitoring value for breast cancer population, and subsequent studies should consider using large-sample and multi-center data to establish risk equations for verification. Conclusion: Machine learning may be used as a predictive tool for breast cancer recurrence. Currently, there is a lack of effective and universally applicable machine learning models in clinical practice. We expect to incorporate multi-center studies in the future and attempt to develop tools for predicting breast cancer recurrence risk, so as to effectively identify populations at high risk of recurrence and develop personalized follow-up strategies and prognostic interventions to reduce the risk of recurrence.

BackgroundLong-term exposure to particulate matter (PM) has essential and profound effects on human health, but most current studies focus on high-income countries. Evidence of the correlations between PM and health effects in low- and middle-income countries (LMICs), especially the risk factor PM1 (particles < 1 mu m in size), remains unclear. ObjectiveTo explore the effects of long-term exposure to particulate matter on the morbidity and mortality of cardiovascular and respiratory diseases in LMICs. MethodsA systematic search was conducted in the PubMed, Web of Science, and Embase databases from inception to May 1, 2022. Cohort studies and case-control studies that examine the effects of PM1, PM2.5, and PM10 on the morbidity and mortality of cardiovascular and respiratory diseases in LMICs were included. Two reviewers independently selected the studies, extracted the data, and assessed the risk of bias. Outcomes were analyzed via a random effects model and are reported as the relative risk (RR) with 95% CI. ResultsOf the 1,978 studies that were identified, 38 met all the eligibility criteria. The studies indicated that long-term exposure to PM2.5, PM10, and PM1 was associated with cardiovascular and respiratory diseases: (1) Long-term exposure to PM2.5 was associated with an increased risk of cardiovascular morbidity (RR per 1.11 mu g/m(3), 95% CI: 1.05, 1.17) and mortality (RR per 1.10 mu g/m(3), 95% CI: 1.06, 1.14) and was significantly associated with respiratory mortality (RR 1.31, 95% CI: 1.25, 1.38) and morbidity (RR 1.08, 95% CI: 1.02, 1.04); (2) An increased risk of respiratory mortality was observed in the elderly (65+ years) (RR 1.21, 95% CI: 1.00, 1.47) with long-term exposure to PM2.5; (3) Long-term exposure to PM10 was associated with cardiovascular morbidity (RR 1.07, 95% CI 1.01, 1.13), respiratory morbidity (RR 1.43, 95% CI: 1.21, 1.69) and respiratory mortality (RR 1.28, 95% CI 1.10, 1.49); (4) A significant association between long-term exposure to PM1 and cardiovascular disease was also observed. ConclusionsLong-term exposure to PM2.5, PM10 and PM1 was all related to cardiovascular and respiratory disease events. PM2.5 had a greater effect than PM10, especially on respiratory diseases, and the risk of respiratory mortality was significantly higher for LMICs than high-income countries. More studies are needed to confirm the effect of PM1 on cardiovascular and respiratory diseases.

It has been shown that there is disparity in access to long-term care and other services for minority populations. This study assessed long-term care access among older individuals belonging to minority populations including visible, ethnocultural, linguistic, and sexual minorities. Barriers and facilitators influencing admission were identified and evaluated. A search for articles from 10 databases published between January 2000 and January 2021 was conducted. Included studies evaluated factors affecting minority populations' admission to long-term care, and non-residents' perceptions of future admission. This review was registered with PROSPERO: CRD42018038662. Sixty included quantitative and qualitative studies, ranging in quality from fair to excellent. Findings suggest minority status is associated with reduced admission to long-term care, controlling for confounding variables. Barriers identified include discordant language, fear of discrimination, lack of information, and family obligations. Findings suggest that minority populations experienced barriers accessing long-term care and had unmet cultural and language needs while receiving care in this setting.

BACKGROUND: Long-term care facilities (LTCFs) with compact, group-living arrangements have become COVID-19 hot spots during the pandemic. Systematic research is needed to understand factors associated with COVID-19 infections in LTCFs and the inadvertent effects of preventive measures adopted by LTCFs. OBJECTIVES: This rapid review identifies factors associated with LTCF residents' COVID-19 infections and the impacts of the pandemic and the corresponding preventive measures on residents' mental health and behavioral problems. METHODS: Following the preferred reporting items for systematic reviews and meta-analyses guidelines, we identified and reviewed relevant literature in Medline, PsycINFO, and AgeLine. RESULTS: Thirty-seven articles were identified and reviewed, including 30 reporting factors associated with COVID-19 infections in LTCFs and seven reporting the impact of the pandemic and corresponding prevention measures on LTCF residents. Results revealed four domains of factors associated with COVID-19 infections: facility physical environments, resident characteristics, facility management and testing, and community factors. The pandemic and infection control measures increased residents' depression, anxiety, loneliness, and behavioral problems (e.g., agitation, hallucinations). Residents without cognitive impairments were more vulnerable to these adverse effects. CONCLUSION AND IMPLICATIONS: LTCF managers/policymakers and healthcare designers can help mitigate COVID-19 infections by (1) providing additional resources to vulnerable LTCFs; (2) enhancing the training of personal protective equipment use and guideline compliance; and (3) investing in amenities, such as sinks, quarantine rooms, and outdoor spaces. Digital activities and accessible green spaces can mitigate mental health and behavior issues. Future LTCF design can benefit from flexible spaces, natural ventilation, and reducing crowding.

The ageing of the population has resulted in an increase in the demand for long-term care services for older people, but with limited resources, its challenges have also been highlighted. Although factors affecting the willingness of older people to engage with long-term care services have been widely reported, however, systematic review has not synthesised the evidence, and its associated factors remain unclear. This systematic review aims to study and synthesise the best available evidence on the potential factors related to the willingness of older people to engage with long-term care services. Eight electronic databases were comprehensively searched from inception to January 2021: the Cochrane Library, PubMed, Web of Science, CINAHL, Wanfang Database, China Knowledge Resource Integrated Database (CNKI), Weipu Database (VIP), and Chinese Biomedical Literature Database (CBM). The original literatures were screened according to selection criteria. Two researchers used 11-item checklist recommended by the Agency for Healthcare Research and Quality to evaluate the quality of the included literatures. And the review used narrative synthesis to integrate factors related to the willingness of older people to engage with long-term care services. In total, 7794 studies were screened and 35 studies were included in this review. Among them, 23 studies were rated as moderate quality and 12 was high quality. Data synthesis identified that age, education, number of children, living arrangements, the relationship with children, primary caregivers, place of residence, social support, household income, medical insurance, activities of daily living ability and spiritual comfort should all be taken into account when establishing the appropriate long-term care service model or formulating relevant policies. However, many factors remain undetermined and require more rigorous original literature support. And multiple areas can be also considered in the future studies, especially psychological factors.

BACKGROUND: Entrustable professional activities (EPAs) have become an important component of competency-based medical education. The aim of this study is to evaluate how geriatric medicine learning objectives are addressed by undergraduate medical curricula including EPAs. METHODS: We performed a scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines to identify undergraduate medical curricula that include EPAs. A content analysis was conducted to examine how these curricula address the care of older individuals. In addition, we mapped the curricula to 19 geriatric medicine learning objectives identified from the European curriculum of undergraduate medical education. RESULTS: We found nine curricula, each containing between 4 and 16 core EPAs. In the sections describing the EPAs, three of the nine curricula specify that all core EPAs apply to all age groups including older patients, whereas the remaining six curricula either only refer to older patients in selected EPAs or not at all. Mapping revealed that some geriatric medicine learning objectives are covered by most curricula (e.g. medication use, multidisciplinary team work), whereas others are lacking in the majority (e.g. normal ageing, geriatric assessment, cognitive assessment, nutrition assessment, decision-making capacity assessment, long-term care). Three curricula cover most geriatric learning objectives by using a matrix aligning EPAs with geriatric competencies. CONCLUSIONS: Geriatric learning objectives continue to be missing from undergraduate medical curricula, also from those adopting the novel approach of EPAs. However, this review also identified some curricula that might serve as models for how geriatric learning objectives can be successfully covered within future EPA frameworks.

BACKGROUND: People with physical-mental comorbidity have a poorer quality of life, worse clinical outcomes, and increased mortality compared with people with physical conditions alone. People of South Asian (SA) origin are the largest minority group in the UK and are more likely to have long-term conditions (LTCs) such as diabetes and heart disease. People of SA origin are less likely to recognise symptoms that may represent mental health problems. AIM: To explore how people of SA origin with LTCs understand, experience, and seek help for emotional distress, depression, and anxiety. DESIGN AND SETTING: Systematic review of qualitative studies exploring emotional distress in people of SA origin with diabetes or coronary heart disease, within primary and community care settings worldwide. METHOD: Comprehensive searches of eight electronic databases from inception to 1 September 2021 were undertaken. Data extracted included study characteristics, and understanding, experience, and help-seeking behaviour for emotional distress. Thematic synthesis was undertaken. The Critical Appraisal Skills Programme (CASP) checklist for qualitative studies was used to assess quality of articles, and Confidence in the Evidence from Reviews of Qualitative Research (GRADE-CERQual) used to determine the overall strength of evidence. RESULTS: Twenty-one studies from 3165 unique citations were included. Three main themes were identified. Understanding of emotional distress: non-medical terminology used, such as 'tension', and a complex relationship between emotional and physical illness. Experiences of emotional distress: multiple forms of inequality, distress at diagnosis of their LTC, cultural factors, and sex differences. Help-seeking behaviour: self-management, support from family, friends, and faith, and inadequate clinical support. CONCLUSION: This review provides a greater understanding of the conceptualisation of emotional distress in the context of LTCs by people of SA origin, to support improvement in its recognition and management.

Long-term care (LTC) facilities, in which older adults are institutionalised, have the responsibility to address their residents' rights, privacy and comfort in expressing themselves sexually in an acceptable manner. However, many older adults have reported barriers in their sexual expression, which is often a result of the care staff's attitudes in the facilities. This review synthesis evidence from qualitative studies on the challenges faced by care staff when supporting sexual expression of older residents in LTC facilities. The systematic review and meta-synthesis is reported according to the Enhanced Transparency in Reporting the Synthesis of Qualitative Research Statement. A systematic literature search for peer-reviewed studies was conducted on PubMed, Cochrane Library, EMBASE, Scopus, Web of Science, PsycINFO, CINAHL and ProQuest Theses and Dissertations from inception until December 2020. Sandelowski and Barroso's two-step approach was used to synthesise the evidence. Seventeen qualitative studies published between 2004 and 2020 were included. This review encapsulated the experiences and challenges of 4,387 care staff whose age ranged from 18 to 69 years. Through the meta-synthesis, four themes were identified: varying manifestations of sexual expression and situations encountered, a spectrum of care staff's attitudes, setting boundaries in dementia care and workplace support. Managing sexual expression can be challenging for the care staff, given the complex interplay between personal beliefs, social contexts, moral dilemmas, practical barriers and the lack of clear policies. This review highlighted the need to equip them with knowledge, skills and confidence in managing sexuality in LTC facilities.

Objectives: The purpose of this scoping review was two-fold: 1) to identify effective intervention studies addressing chronic disease for seniors living in nursing homes (e.x. chronic heart failure, diabetes, dementia, etc.), and 2) to describe how consistently the studies' reported their stages of the Knowledge-to-Action framework (2006).Methods: This scoping review involved a systematic search of CINAHL, EMBASE, PubMed and Scopus of intervention studies, published in English and French between 1997 and 2018, that focused on the development, implementation and/or evaluation of a chronic disease management guideline or best practice for older adults 65+ residing within a nursing home (NH). Authors abstracted information specific to the seven stages of the Knowledge-to-Action framework (identifying problem, tailoring to local context, barriers and facilitators to intervention delivery, implementation, monitoring, outcome criteria, and sustainability).Results: Six studies met the inclusion criteria. Procedures for monitoring knowledge use and outcome evaluation were thoroughly described. Other stages of the Knowledge-to-Action framework were not consistently reported, including problem identification related to older adults' needs and within the context of NHs, intervention implementation, evaluation, and sustainability. Of the six studies included, only two met all the pre-defined evaluation outcomes.Conclusions: Given the need for chronic disease management in NHs, researchers are encouraged to report on intervention studies using the Knowledge-to-Action framework to optimize the likelihood that interventions will be suitable for the context of their delivery and introduce sustainable change.Clinical implications: To answer what interventions should be introduced to residents in long-term care, research must clearly demonstrate efficacy, provide enough detail for methods to be reproducible in applied contexts, and consider strategies for sustainability and the holistic needs of residents.

OBJECTIVES: To systematically review the effectiveness of interventions to improve analgesic use and appropriateness in long-term care facilities (LTCFs). DESIGN: Systematic review. SETTING AND PARTICIPANTS: MEDLINE, Embase, PsycINFO, and CINAHL Plus were searched from inception to June 2021. Randomized controlled trials (RCTs), controlled and uncontrolled prospective interventions that included analgesic optimization, and reported postintervention change in analgesic use or appropriateness in LTCFs were included. METHODS: Screening, data extraction, and quality assessment were performed independently by 2 review authors. RESULTS: Eight cluster RCTs, 2 controlled, and 6 uncontrolled studies comprising 9056 residents across 9 countries were included. The 16 interventions included education (n= 13), decision support (n = 7), system modifications (n = 6), and/or medication review (n = 3). Six interventions changed analgesic use or appropriateness, all of which included prescribers, 5 involved multidisciplinary collaboration, and 5 included a component of education. Education alone changed analgesic use and appropriateness in 1 study. Decision support was effective when combined with education in 3 interventions. Overall, 13 studies reported analgesic optimization as part of pain management interventions and 3 studies focused on medication optimization. Two pain management interventions reduced the percentage of residents reporting pain not receiving analgesics by 50% to 60% (P = .03 and P < .001, respectively), and 1 improved analgesic appropriateness (P = .03). One reduced nonsteroidal anti-inflammatory drugs (NSAIDs) (P < .001) and another resulted in 3-fold higher odds of opioid prescription in advanced dementia [95% confidence interval (CI) 1.1-8.7]. One medication optimization intervention reduced NSAID prescription (P = .036), and another reduced as-needed opioid (95% CI 8.6-13.8) and NSAID prescription (95% CI 1.6-4.2). CONCLUSIONS AND IMPLICATIONS: Interventions involving prescribers and enhanced roles for pharmacists and nurses, with a component of education, are most effective at changing analgesic use or appropriateness. Interventions combining education and decision support are also promising. Medication review interventions can change analgesic prescription, although there is currently minimal evidence in relation to possible corresponding improvements in resident-related outcomes.

OBJECTIVES: This study aims to provide a systematic review and meta-analysis of the literature on the long-term effects of interventions addressing children's and adolescents' mental health literacy and/or stigmatizing attitudes. METHODS: Articles in English or German published between January 1997 and May 2020 were retrieved from five databases, leading to a total of 4,375 original articles identified. RESULTS: 25 studies were included after applying exclusion criteria, 13 of which were eligible for meta-analysis. The overall average of the follow-up period was about 5 months. Long-term improvements were sustained for mental health literacy, d = 0.48, 95% CI = (0.34, 0.62), as well as for stigmatizing attitudes, d = 0.30, 95% CI = (0.24, 0.36), and social distance, d = 0.16, 95% CI = (0.03, 0.29). The combination of educational and contact components within interventions led to worse results for mental health literacy, but not stigmatizing attitudes or social distance. CONCLUSION: Interventions targeting children and adolescents generally have a brief follow-up period of an average of 5 months. They show a stable improvement in mental health literacy, but are to a lesser degree able to destigmatize mental illness or improve social distance.

Medication management in residential aged care facilities (RACFs) is complex and often sub-optimal. Pharmacist practice models and services have emerged internationally to address medication-related issues in RACFs. This narrative review aimed to explore pharmacist practice models in aged care in Australia, England and the USA, and identify key activities and characteristics within each model. A search strategy using key terms was performed in peer-reviewed databases, as well as the grey literature. Additionally, experts from the selected countries were consulted to obtain further information about the practice models in their respective countries. Thirty-six documents met the inclusion criteria and were included in the review. Four major pharmacist practice models were identified and formed the focus of the review: (1) the NHS's Medicine Optimisation in Care Homes (MOCH) program from England; (2) the Australian model utilising visiting accredited pharmacists; (3) the Centers for Medicare and Medicaid (CMS) pharmacy services in long-term care from the USA; and (4) the Medication Therapy Management (MTM) program from the USA. Medication reviews were key activities in all models, but each had distinct characteristics in relation to the comprehensiveness, who is eligible, and how frequently residents receive medication review activity. There was heterogeneity in the types of facility-level activities offered by pharmacists, and further research is needed to determine the effectiveness of these activities in improving quality use of medicines in the aged care setting. This review found that in some models, pharmacists have a limited level of collaboration with other healthcare professionals, emphasising the need to trial innovative models with integrated services and increased collaboration to achieve a holistic patient-centred approach to medication management.

OBJECTIVES: To report the effectiveness of, and barriers and facilitators to, hearing rehabilitation for care home residents with dementia. DESIGN: Systematic review. SETTING AND PARTICIPANTS: Care home residents with dementia and hearing loss. METHODS: No restrictions on publication date or language were set and gray literature was considered. Eligible studies were critically appraised and presented via a narrative review. RESULTS: Sixteen studies, most of low to moderate quality, were identified. Hearing rehabilitation, including hearing devices, communication techniques, and visual aids (eg, flashcards), was reported to improve residents' communication and quality of life and reduce agitation, with improvements in staff knowledge of hearing loss and job satisfaction. Residents' symptoms of dementia presented barriers, for example, losing or not tolerating hearing aids. Low staff prioritization of hearing loss due to time pressures and lack of hearing-related training for staff were further barriers, particularly for residents who required assistance with hearing devices. Adopting a person-centered approach based on residents' capabilities and preferences and involving family members facilitated hearing device use. CONCLUSIONS AND IMPLICATIONS: Residents with dementia can benefit from hearing rehabilitation. Identifying and implementing efficient, individualized hearing rehabilitation is necessary for those with complex cognitive needs. Increased funding and support for the social care sector is required to address systemic issues that pose barriers to hearing rehabilitation, including time pressures, lack of training for staff and access to audiology services for residents.

Assisted living (AL) is an emerging model of care in countries where long-term care needs are escalating, with emphasis given to promoting independence and autonomy among the residents to achieve active and healthy ageing. Unlike established nursing homes, the governance of AL is nebulous due to its novelty and diverse nature of operations in many jurisdictions. A comprehensive understanding of how AL is governed globally is important to inform regulatory policies as the adoption of AL increases. A systematic literature review was undertaken to understand the different levels of regulations that need to be instituted to govern AL effectively. A total of 65 studies, conducted between 1990 to 2020, identified from three major databases (PubMed, Medline, and Scopus), were included. Using a thematic synthesis analytical approach, we identified macro-level regulations (operational authorisation, care quality assessment and infrastructural requirements), meso-level regulations (operational management, staff management and distribution, service provision and care monitoring, and crisis management), and micro-level regulations (clear criteria for resident admission and staff hiring) that are important in the governance of AL. Large-scale adoption of AL without compromising the quality, equity and affordability would require clear provisions of micro-, meso- and macro-level regulations.

Background: The long-term care setting poses unique challenges and opportunities for effective knowledge translation. The objectives of this review are to (1) synthesize barriers and facilitators to implementing evidence-based guidelines in long-term care, as defined as a home where residents require 24-h nursing care, and 50% of the population is over the age of 65 years; and (2) map barriers and facilitators to the Behaviour Change Wheel framework to inform theory-guided knowledge translation strategies. Methods: Following the guidance of the Cochrane Qualitative and Implementation Methods Group Guidance Series and the ENTREQ reporting guidelines, we systematically reviewed the reported experiences of long-term care staff on implementing evidence-based guidelines into practice. MEDLINE Pubmed, EMBASE Ovid, and CINAHL were searched from the earliest date available until May 2021. Two independent reviewers selected primary studies for inclusion if they were conducted in long-term care and reported the perspective or experiences of long-term care staff with implementing an evidence-based practice guideline about health conditions. Appraisal of the included studies was conducted using the Critical Appraisal Skills Programme Checklist and confidence in the findings with the GRADE-CERQual approach. Findings: After screening 2680 abstracts, we retrieved 115 full-text articles; 33 of these articles met the inclusion criteria. Barriers included time constraints and inadequate staffing, cost and lack of resources, and lack of teamwork and organizational support. Facilitators included leadership and champions, well-designed strategies, protocols, and resources, and adequate services, resources, and time. The most frequent Behaviour Change Wheel components were physical and social opportunity and psychological capability. We concluded moderate or high confidence in all but one of our review findings. Conclusions: Future knowledge translation strategies to implement guidelines in long-term care should target physical and social opportunity and psychological capability, and include interventions such as environmental restructuring, training, and education.

The COVID-19 pandemic identifies the problems of preventing respiratory illnesses in seniors, especially frail multimorbidity seniors in nursing homes and Long-Term Care Facilities (LCTFs). Medline and Embase were searched for nursing homes, long-term care facilities, respiratory tract infections, disease transmission, infection control, mortality, systematic reviews and meta-analyses. For seniors, there is strong evidence to vaccinate against influenza, SARS-CoV-2 and pneumococcal disease, and evidence is awaited for effectiveness against COVID-19 variants and when to revaccinate. There is strong evidence to promptly introduce comprehensive infection control interventions in LCFTs: no admissions from inpatient wards with COVID-19 patients; quarantine and monitor new admissions in single-patient rooms; screen residents, staff and visitors daily for temperature and symptoms; and staff work in only one home. Depending on the vaccination situation and the current risk situation, visiting restrictions and meals in the residents' own rooms may be necessary, and reduce crowding with individual patient rooms. Regional LTCF administrators should closely monitor and provide staff and PPE resources. The CDC COVID-19 tool measures 33 infection control indicators. Hand washing, social distancing, PPE (gowns, gloves, masks, eye protection), enhanced cleaning of rooms and high-touch surfaces need comprehensive implementation while awaiting more studies at low risk of bias. Individual ventilation with HEPA filters for all patient and common rooms and hallways is needed.