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.

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.

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.

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.

Background Care transitions of older persons between multiple care settings are frequently hampered by various issues such as discontinuous care delivery or poor information transfer among healthcare providers. Therefore, several innovations have been developed to optimize transitional care (TC). This review aims to identify which factors influence the implementation of TC innovations. Methods As part of TRANS-SENIOR, an international innovative training and research network focusing on enhancing or avoiding care transitions, a scoping review was conducted. The five stages of the Arksey and O'Malley framework were followed. PubMed/MEDLINE, EMBASE, and CINAHL were searched, and eligible studies published between years 2000 and 2020 were retrieved. Data were extracted from the included studies and mapped to the domains and constructs of the Consolidated Framework for Implementation Research (CFIR) and Care Transitions Framework (CTF). Results Of 1537 studies identified, 21 were included. Twenty different TC innovations were covered and aimed at improving or preventing transitions between multiple care settings, the majority focused on transitions from hospital to home. Key components of the innovations encompassed transition nurses, teach-back methods, follow-up home visits, partnerships with community services, and transfer units. Twenty-five prominent implementation factors (seven barriers, seven facilitators, and eleven factors with equivalent hindering/facilitating influence) were shown to affect the implementation of TC innovations. Low organizational readiness for implementation and the overall implementation climate were topmost hindering factors. Similarly, failing to target the right population group was commonly reported as a major barrier. Moreover, the presence of skilled users but with restricted knowledge and mixed attitudes about the innovation impeded its implementation. Among the eminent enabling factors, a high-perceived advantage of the innovation by staff, along with encouraging transition roles, and a continuous monitoring process facilitated the implementation of several innovations. Other important factors were a high degree of organizational networks, engaging activities, and culture; these factors had an almost equivalent hindering/facilitating influence. Conclusions Addressing the right target population and instituting transition roles in care settings appear to be specific factors to consider during the implementation of TC innovations. Long-term care settings should simultaneously emphasize their organizational readiness for implementation and change, in order to improve transitional care through innovations.

Objectives: To conduct a systematic review of literature examining the establishment and operation of clinical ethical committees (CECs) in long-term care (LTC). Design: Systematic review. Setting and participants: LTC recipients/family or staff. Methods: Five databases (Ovid Medline, Ovid Cochrane Library, Ovid PsycINFO, Ovid EMBASE, and CINAHL via EbscoHost) were systematically searched from their inception to May 8, 2020. The initial search was conducted on August 22, 2017, and updated on May 8, 2020, to identify peer-reviewed studies, commentaries, or editorials. The quality of studies was assessed using the Mixed Methods Appraisal Tool. Results: Thirty-three articles were identified for inclusion, of which 13 were primary studies. Most articles were set in the United States. The purpose of establishing a CEC in LTC was typically to assist in dealing with ethical issues and improve the quality of care. The articles described the roles of CECs to include prospective case consultation, case review, policy development, and ethics education. Articles rarely reported whether the CEC was required by or enshrined in law. Membership of CECs was between 4 and 20 members and most commonly included nursing staff, physicians, and directors/administrators. The rationale behind the membership was rarely described. For case consultation, articles described that CECs were typically convened upon referral. The resident issues which a CEC could address included end-of-life care decisions, autonomy/self-determination, and medical treatment decisions. The staff issues addressed by CECs included medical treatment decisions, end-of-life care decisions, and decision-making issues. The decision-making process followed by CECs varied. The outcome of a CEC meeting was typically a recommendation, whereas the implementation of CEC recommendations and decisions were rarely reported. Conclusions and implications: This systematic review identifies how CECs operate in the LTC setting. CECs have the potential to provide valuable support in addressing complex ethical issues in LTC; however, empirical research is required to determine their efficacy in the LTC setting.

BACKGROUND: Care home staff stress and burnout may be related to high turnover and associated with poorer quality care. We systematically reviewed and meta-analyzed studies reporting stress and burnout and associated factors in staff for people living with dementia in long-term care. METHODS: We searched MEDLINE, PsycINFO, Web of Science databases, and CINAHL database from January 2009 to August 2017. Two raters independently rated study validity using standardized criteria. We meta-analyzed burnout scores across comparable studies using a random effects model. RESULTS: 17/2854 identified studies met inclusion criteria. Eight of the nine studies reporting mean Maslach Burnout Inventory (MBI) scores found low or moderate burnout levels. Meta-analysis of four studies using the 22-item MBI (n = 598) found moderate emotional exhaustion levels (mean 18.34, 95% Confidence Intervals 14.59-22.10), low depersonalization (6.29, 2.39-10.19), and moderate personal accomplishment (33.29, 20.13-46.46). All three studies examining mental health-related quality of life reported lower levels in carer age and sex matched populations. Staff factors associated with higher burnout and stress included: lower job satisfaction, lower perceived adequacy of staffing levels, poor care home environment, feeling unsupported, rating home leadership as poor and caring for residents exhibiting agitated behavior. There was preliminary evidence that speaking English as a first language and working shifts were associated with lower burnout levels. CONCLUSIONS: Most care staff for long-term care residents with dementia experience low or moderate burnout levels. Prospective studies of care staff burnout and stress are required to clarify its relationship to staff turnover and potentially modifiable risk factors.

Abstract ABSTRACTBackground:Major life transitions can negatively impact the emotional well-being of older people. This study examined the effectiveness of interventions that target the three most common transitions in later life, namely bereavement, retirement, and relocation. Methods: A systematic search was performed via MEDLINE, EMBASE, CINAHL, Cochrane Library, PsycINFO, and reference lists of retrieved non-randomized and randomized controlled trials (RCTs) in English that studied the effectiveness of interventions addressing the three transitions in those >50 years of age. Two researchers independently selected the publications, piloted the data extraction form, and critically appraised studies specific to transition type and study design. Results: A total of 11 studies (bereavement: 7; retirement: 2; relocation: 2) of 8 unique interventions met the inclusion criteria of which nine were RCTs and two were of quasi-experimental designs were reviewed. Six studies were group-based interventions, three studies used individualized sessions, and one intervention used a combination of group and individualized programming. Group size varied (20-32 participants), as did qualifications of those administering the interventions. The methodological quality of included studies was weak. Findings suggest that group-based approaches provided by trained personnel can mitigate the negative health-related consequences associated with major transitions in later life. Conclusion: Evidence concerning interventions that address mental health challenges associated with these major transitions is limited. Future research should better characterize participants at study outset and use validated measures to capture effectiveness. Use of peer mentorship to navigate such transitions is promising, but given the small number of studies and their methodological weaknesses, further research on effectiveness is warranted.

OBJECTIVE: Across the world, health care for residents in long-term care facilities (LTCFs) is provided by a range of different professionals, and there is no consensus on which professional group(s) deliver the best outcomes for residents. The objective of this review is to investigate how the health outcomes of older adults in LTCFs vary according to which professional group(s) provides first-line medical care. DESIGN: A systematic review and narrative synthesis were performed. Medline, Embase, the Cochrane Central Register of Controlled Trials, and Scopus were searched for studies from high-income countries, of any design, published after 2000. Quality was assessed using the Cochrane Risk of Bias and ROBINS-I tools. The exposure of interest was the professional group(s) involved in the delivery of first-line primary care. SETTING AND PARTICIPANTS: Older adults living in LTCFs. MEASURES: The principal outcomes were unplanned transfer to hospital, prescribing quality, and mortality. RESULTS: Searches identified 10,532 citations after removing duplicates. Twenty-six publications (across 24 studies) met the inclusion criteria. A narrative synthesis was conducted of the 20 experimental and 4 observational studies, involving approximately 98,000 residents. Seven studies were set in the USA, 6 in Australia, 3 in Canada, 2 in New Zealand, and 6 in European countries. Interventions were varied, complex and multi-faceted. Nineteen interventional studies, including 4 randomized trials, involved the addition of a specialist practitioner, either a doctor or nurse, to supplement usual primary care. The most commonly reported outcomes were unplanned hospital transfer and prescribing quality. Interventions based on specialist nurses were associated with reductions in unplanned hospital transfers in 10 out of 12 publications. There was no consistent evidence of a positive impact of specialist doctor interventions on unplanned hospital transfers. However, specialist doctors were associated with improvements in prescribing quality in all 7 relevant studies. There was a paucity of evidence on the impact of specialist nurse interventions on prescribing, and of specialist practitioners on mortality, and no improvements were reported. CONCLUSIONS: Addition of specialist doctors or nurses to the first-line medical team has the potential to improve key health outcomes for residents in LTCFs.

Objectives: To identify the barriers and facilitators for fall prevention implementation in residential care facilities. Design: Systematic review. Review registration number on PROSPERO: CRD42013004655. Data sources: Two independent reviewers systematically searched five databases (i.e. MEDLINE, EMBASE, CINAHL, PsycINFO, and Web of Science) and the reference lists of relevant articles. Review methods: This systematic review was conducted in line with the Center for Reviews and Dissemination Handbook and reported according to the PRISMA guideline. Only original research focusing on determinants of fall prevention implementation in residential care facilities was included. We used the Mixed Method Appraisal Tool for quality appraisal. Thematic analysis was performed for qualitative data; quantitative data were analyzed descriptively. To synthesize the results, we used the framework of Grol and colleagues that describes six healthcare levels wherein implementation barriers and facilitators can be identified. Results: We found eight relevant studies, identifying 44 determinants that influence implementation. Of these, 17 were facilitators and 27 were barriers. Results indicated that the social and organizational levels have the greatest number of influencing factors (9 and 14, respectively), whereas resident and economical/political levels have the least (3 and 4, respectively). The most cited facilitators were good communication and facility equipment availability, while staff feeling overwhelmed, helpless, frustrated and concerned about their ability to control fall management, staffing issues, limited knowledge and skills (i.e., general clinical skill deficiencies, poor fall management skills or lack of computer skills); and poor communication were the most cited barriers. Conclusion: Successful implementation of fall prevention depends on many factors across different healthcare levels. The focus of implementation interventions, however, should be on modifiable barriers and facilitators such as communication, knowledge, and skills. Effective fall prevention must consist of multifactorial interventions that target each resident's fall risk profile, and should be tailored to overcome context-specific barriers and put into action the identified facilitators.

OBJECTIVE: To evaluate the utilization of mobile phone technology for treatment adherence, prevention, education, data collection, monitoring long-term management of HIV/AIDS and TB patients. METHODS: Articles published in English language from January 2005 until now from PubMed/MEDLINE, EMBASE, Web of Science, WHO databases, and clinical trials were included. Data extraction is based on medication adherence, quality of care, prevention, education, motivation for HIV test, data collection from HIV lab test results and patient monitoring. Articles selected for the analysis cover RCTs and non RCTs related to the use of mobile phones for long-term care and treatment of HIV/AIDS and TB patients. RESULTS: Out of 90 articles selected for the analysis, a large number of studies, 44 (49%) were conducted in developing countries, 24 (26%) studies from developed countries, 12 (13%) are systematic reviews and 10 (11%) did not mention study location. Forty seven (52.2%) articles focused on treatment, 11 (12.2%) on quality of care, 8 (9%) on prevention, 13 (14.4%) on education, 6 (6.6%) on data collection, and 5 (5.5%) on patient monitoring. Overall, 66 (73%) articles reported positive effects, 21 (23%) were neutral and 3 (4%) reported negative results. CONCLUSIONS: Mobile phone technology is widely reported to be an effective tool for HIV/AIDS and TB long-term care. It can substantially reduce disease burden on health care systems by rendering more efficient prevention, treatment, education, data collection and management support

Advances in technology have offered health professionals alternative mediums of providing support to patients with long-term conditions. This critical review evaluated and assessed the benefit of electronic media technologies in supporting children and young people with long-term conditions. Of 664 references identified, 40 met the inclusion criteria. Supportive technology tended to increase disease-related knowledge and improve aspects of psychosocial function. Supportive technology did not improve quality of life, reduce health service use or decrease school absences. The poor methodological quality of current evidence and lack of involvement of users in product development contribute to the uncertainty that supportive technology is beneficial.

Claims that women who have elective abortions will experience psychological distress have fueled much of the recent debate on abortion. It has been argued that the emotional sequelae of abortion may not occur until months or years after the event. Despite unclear evidence on such a phenomenon, adverse mental health outcomes of abortion have been used as a rationale for policy-making. We systematically searched for articles focused on the potential association between abortion and long-term mental health outcomes published between January 1, 1989 and August 1, 2008 and reviewed 21 studies that met the inclusion criteria. We rated the study quality based on methodological factors necessary to appropriately explore the research question. Studies were rated as Excellent (no studies), Very Good (4 studies), Fair (8 studies), Poor (8 studies), or Very Poor (1 study). A clear trend emerges from this systematic review: the highest quality studies had findings that were mostly neutral, suggesting few, if any, differences between women who had abortions and their respective comparison groups in terms of mental health sequelae. Conversely, studies with the most flawed methodology found negative mental health sequelae of abortion.