Evidence Synthesis Research Articles

The effect of BMI on survival outcome of breast cancer patients: a systematic review and meta-analysis.

The main goal of the present research is to explore the potential link of body mass index (BMI) with different survival metrics in breast cancer patients. Our aim is to offer the latest and most thorough meta-analysis, assessing the strength and reliability of the connection that BMI has with prognostic indicators in this disease. As of January 2024, we conducted a systematic literature search across PubMed, Embase, Web of Science, and the Cochrane Library databases. Our search aimed to identify studies examining BMI as an exposure factor, with breast cancer patients constituting the study population, and utilizing adjusted hazard ratio (HR) as the data type of interest. The evidence synthesis incorporated a total of 61 eligible articles involving 201,006 patients. Being underweight posed a risk factor for overall survival (OS) in breast cancer patients compared to normal weight (HR 1.15, 95% CI 0.98-1.35; P = 0.08). Overweight or obesity, in comparison to normal weight, was a risk factor for OS (HR 1.18, 95% CI 1.14-1.23; P < 0.00001), disease-free survival (DFS) (HR 1.11, 95% CI 1.08-1.13; P < 0.00001), relapse-free survival (RFS) (HR 1.14, 95% CI 1.06-1.22; P = 0.03), and breast cancer-specific survival (BCSS) (HR 1.18, 95% CI 1.11-1.26; P < 0.00001), but not for progression-free survival (PFS) (HR 0.91, 95% CI 0.76-1.10; P = 0.33). Notably, in subgroup analyses, overweight patients achieved prolonged PFS (HR 0.80, 95% CI 0.64-0.99; P = 0.04), and compared to the obese population, the overweight cohort exhibited a significant difference in OS (HR 1.11, 95% CI 1.05-1.16; P < 0.00001) and DFS (HR 1.06, 95% CI 1.03-1.10; P = 0.0004), with a considerably stronger association. Furthermore, compared to HER- patients, HER + patients exhibited a greater predictive value for OS (HR 1.23, 95% CI 1.10-1.37; P = 0.0004), RFS (HR 1.30, 95% CI 1.03-1.64; P < 0.00001), and DFS (HR 1.10, 95% CI 1.03-1.17; P = 0.003). The results of our meta-analysis reveal a notable association between BMI and various survival measures in breast cancer prognosis. These findings provide a solid basis for predicting breast cancer outcomes and implementing more effective therapeutic approaches.

Informing pandemic management in Germany with trustworthy living evidence syntheses and guideline development: lessons learned from the COVID-19 evidence ecosystem

ObjectivesWe present the ‘COVID-19 evidence ecosystem’ (CEOsys) as a German network to inform pandemic management and to support clinical and public health decision-making. We discuss challenges faced when organizing the ecosystem and derive lessons learned for similar networks acting during pandemics or health-related crises. Study Design and SettingBringing together 18 university hospitals and additional institutions, CEOsys key activities included research prioritization, conducting living systematic reviews (LSRs), supporting evidence-based (living) guidelines, knowledge translation (KT), detecting research gaps, and deriving recommendations, backed by technical infrastructure and capacity building. ResultsCEOsys rapidly produced 31 high-quality evidence syntheses and supported three living guidelines on COVID-19-related topics, while also developing methodological procedures. Challenges included CEOsys’ late initiation in relation to the pandemic outbreak, the delayed prioritization of research questions, the continuously evolving COVID-19-related evidence, and establishing a technical infrastructure. Methodological-clinical tandems, the cooperation with national guideline groups and international collaborations were key for efficiency. ConclusionCEOsys provided a proof-of-concept for a functioning evidence ecosystem at the national level. Lessons learned include that similar networks should, among others, involve methodological and clinical key stakeholders early on, aim for (inter)national collaborations, and systematically evaluate their value. We particularly call for a sustainable network.

Efficacy of Interval Training in Improving Body Composition and Adiposity in Apparently Healthy Adults: An Umbrella Review with Meta-Analysis.

Although the efficacy of interval training for improving body composition has been summarized in an increasing number of systematic reviews in recent years, discrepancies in review findings and conclusions have been observed. This study aims to synthesize the available evidence on the efficacy of interval training compared with moderate-intensity continuous training (MICT) and nonexercise control (CON) in reducing body adiposity in apparently healthy adults. An umbrella review with meta-analysis was performed. A systematic search was conducted in seven databases (MEDLINE, EMBASE, Cochrane Database, CINAHL, Scopus, SPORTDiscus, and Web of Science) up to October 2023. Systematic reviews with meta-analyses of randomized controlled trials (RCTs) comparing interval training and MICT/CON were included. Literature selection, data extraction, and methodological quality assessment (AMSTAR-2) were conducted independently by two reviewers. Meta-analyses were performed using a random-effects model. Subgroup analyses were conducted based on the type of interval training [high-intensity interval training (HIIT) and sprint interval training (SIT)], intervention duration, body mass index, exercise modality, and volume of HIIT protocols. Sixteen systematic reviews, including 79 RCTs and 2474 unique participants, met the inclusion criteria. Most systematic reviews had a critically low (n = 6) or low (n = 6) AMSTAR-2 score. Interval training demonstrated significantly greater reductions in total body fat percent (BF%) compared with MICT [weighted mean difference (WMD) of - 0.77%; 95% confidence interval (CI) - 1.12 to - 0.32%] and CON (WMD of - 1.50%; 95% CI - 2.40 to - 0.58%). Significant reductions in fat mass, visceral adipose tissue, subcutaneous abdominal fat, and android abdominal fat were also observed following interval training compared to CON. Subgroup analyses indicated that both HIIT and SIT resulted in superior BF% loss than MICT. These benefits appeared to be more prominent in individuals with overweight/obesity and longer duration interventions (≥ 12weeks), as well as in protocols using cycling as a modality and low-volume HIIT (i.e., < 15min of high-intensity exercise per session). This novel umbrella review with large-scale meta-analysis provides an updated synthesis of evidence with implications for physical activity guideline recommendations. The findings support interval training as a viable exercise strategy for reducing adiposity in the general population.

Local and Global Public Health and Emissions from Concentrated Animal Feeding Operations in the USA: A Scoping Review.

Up to 1.6 million tons of waste is produced annually by each of more than 21,000 concentrated animal feeding operations (CAFOs) located in the United States (USA). These operations give rise to externalities, including adverse local and global health impacts from CAFO waste emissions, which can potentially outweigh their economic viability. However, a shortage of evidence synthesis research exclusively on the impacts of USA-based CAFO waste emissions may hinder effective policy development. This scoping review (ScR) study, adhering to the guidelines from the Joanna Briggs Institute, conducted a search in databases including Scopus, Web of Science, PubMed, and Embase in May 2020, resulting in ten publications that met the inclusion criteria. The results suggest possible exposure of CAFO workers to multidrug-resistant Staphylococcus aureus (MDRSA), campylobacteriosis, and cryptosporidiosis. Communities near CAFOs experienced higher rates of adverse health impacts compared to those in non-CAFO areas, with patterns suggesting that proximity may correlate with increased odds of detrimental health effects. Implicit global health threats include methicillin-resistant Staphylococcus aureus (MRSA), MDRSA, campylobacteriosis, tuberculosis, and cryptosporidiosis. These studies provide foundational insights into CAFO proximity, density patterns, and adverse public health effects, indicating a need for evidence-informed environmental health policies to minimize local and global risks.

Human-AI collaboration to identify literature for evidence synthesis

Human-AI collaboration to identify literature for evidence synthesis

Non-emergency department (ED) interventions to reduce ED utilization: a scoping review

BackgroundEmergency department (ED) crowding is a global burden. Interventions to reduce ED utilization have been widely discussed in the literature, but previous reviews have mainly focused on specific interventions or patient groups within the EDs. The purpose of this scoping review was to identify, summarize, and categorize the various types of non-ED-based interventions designed to reduce unnecessary visits to EDs.MethodsThis scoping review followed the JBI Manual for Evidence Synthesis and the PRISMA-SCR checklist. A comprehensive structured literature search was performed in the databases MEDLINE and Embase from 2008 to March 2024. The inclusion criteria covered studies reporting on interventions outside the ED that aimed to reduce ED visits. Two reviewers independently screened the records and categorized the included articles by intervention type, location, and population.ResultsAmong the 15,324 screened records, we included 210 studies, comprising 183 intervention studies and 27 systematic reviews. In the primary studies, care coordination/case management or other care programs were the most commonly examined out of 15 different intervention categories. The majority of interventions took place in clinics or medical centers, in patients’ homes, followed by hospitals and primary care settings - and targeted patients with specific medical conditions.ConclusionA large number of studies have been published investigating interventions to mitigate the influx of patients to EDs. Many of these targeted patients with specific medical conditions, frequent users and high-risk patients. Further research is needed to address other high prevalent groups in the ED - including older adults and mental health patients (who are ill but may not need the ED). There is also room for further research on new interventions to reduce ED utilization in low-acuity patients and in the general patient population.

Paramedic clinical practice guideline development in Australia and New Zealand: A qualitative descriptive analysis

BackgroundThis collaborative study by The Australasian College of Paramedicine's Clinical Practice Guidelines (CPG) Working Group aimed to examine CPG development practices in Australian and New Zealand ambulance services. MethodsEmploying a qualitative descriptive design, the research utilised thematic analysis to extract insights from interviews with eleven experts actively involved in CPG development. The study embraced a nominalist and constructivist approach, recognising the intricate connection between individual experiences and the realities of CPG development in the paramedic field. ResultsKey findings revealed significant heterogeneity in CPG development practices, emphasising a lack of formal training and a substantial reliance on existing guidelines. The study highlighted challenges in project management flexibility, limited research capacity, and inconsistencies in external consultations and resource utilisation. ConclusionThe study recommends adopting project management frameworks, investing in training, and utilising evidence evaluation methodologies like GRADE. It emphasises the need for multidisciplinary teams and formal expertise in evidence synthesis, advocating for targeted training programs. Funding challenges highlight the importance of dedicated budgets and collaborative efforts for resource allocation. Knowledge translation and implementation issues underscore the significance of training programs for evidence evaluation and knowledge translation in overcoming these challenges.

Immigrant Older Adults' Experiences of Aging in Place and Their Neighborhoods: A Qualitative Systematic Review.

Engaging in one's neighborhood fosters independence, promotes social connectedness, improves quality of life, and increases life expectancy in older adults. There is a lack of evidence synthesis on immigrant older adults' neighborhood perceptions and experiences, essential for addressing neighborhood-level influences on aging in place. This study systematically synthesizes qualitative evidence on immigrant older adults' perceptions and experiences of their neighborhoods. A comprehensive search was conducted from inception to 5 April 2023, in multiple databases. This review considered studies including immigrant older adults aged ≥60 years, included studies from any country where the neighborhood was the focus, and only considered qualitative data while excluding review studies, theoretical publications, and protocols. Eligible studies were appraised using the JBI critical appraisal checklist for qualitative research. The Joanna Briggs Institute meta-aggregation approach was used to synthesize findings, and the ConQual approach established confidence in the synthesis. A total of 30 studies were included. Most studies were conducted in North America and explored phenomena such as aging in place, social capital, social cohesion, sense of community, and life satisfaction. Key contextual factors were walkable safe access to social spaces, accessible transportation to amenities, social cohesion with neighbors, and pre-migration neighborhood experiences. Immigrant older adults have varied experiences related to their sense of belonging and social cohesion. Factors such as racial discrimination, feeling unsafe, and social isolation contributed to negative perceptions. This review highlights the need for inclusive neighborhoods that align with the needs and values of immigrant older adults aging in place.

Robust point and variance estimation for meta‐analyses with selective reporting and dependent effect sizes

Abstract Meta‐analysis produces a quantitative synthesis of evidence‐based knowledge, shaping not only research trends but also policies and practices in biology. However, two statistical issues, selective reporting and statistical dependence, can severely distort meta‐analytic parameter estimation and inference. Here, we re‐analyse 448 meta‐analyses to demonstrate a new two‐step procedure to deal with two common challenges in biological meta‐analyses that often occur simultaneously: publication bias and non‐independence. First, we employ bias‐robust weighting schemes under the generalized least square estimator to obtain average effect sizes that are more robust to selective reporting. We then use cluster‐robust variance estimation to account for statistical dependence, reducing bias in estimating standard errors and ensuring valid statistical inference. The first step of our approach demonstrates comparable performance in estimating average effect sizes to the existing publication‐bias adjustment methods in the presence of selective reporting. This equivalence holds across two publication bias selection processes. The second step achieves estimates of standard errors consistent with the multilevel meta‐analytic model, a benchmark method with adequate control of Type I error rates for multiple, statistically dependent effect sizes. Re‐analyses of 448 meta‐analyses show that ignoring these two issues tends to overestimate effect sizes by an average of 110% and underestimate standard errors by 120%. To facilitate implementation, we have developed a website including a step‐by‐step tutorial. Complementing current meta‐analytic workflows with the proposed method as a sensitivity analysis can facilitate a transition to a more robust approach in quantitative evidence synthesis.

Experiences of family carers in providing care to children with intellectual disabilities in India: A qualitative evidence synthesis.

India has a significant prevalence of people with intellectual disabilities. Despite their higher prevalence, they receive poor support. Therefore, this review aims to explore the experiences of family carers in providing care for children with intellectual disabilities in India. A qualitative evidence synthesis was undertaken, searching databases such as MEDLINE, CINAHL, Web of Science, and PsycInfo up to October 2023. Grey literature was also searched for unpublished studies, with two reviewers assessing methodological quality. Eleven eligible studies, mostly qualitative in design, were included in the review. The data synthesis followed a thematic approach. The synthesis found five themes representing family carers' experiences and perspectives. These were 'resilience and acceptance', 'parental response', 'care dynamic', 'preparing for transition to adulthood' and 'parental advocacy'. Family carers hold diverse views, while almost all consider providing care complex and challenging, with few positive experiences.

Review of forest ecosystem services evaluation studies in East Africa

The East African region hosts diverse forest ecosystems, such as woodlands, highland forests, and coastal mangrove forests. These ecosystems are crucial for biodiversity and support various plant and animal species. They provide essential resources, benefiting livelihoods directly and indirectly. Examining regional and global variations in forest ecosystem valuation, especially regarding livelihood benefits, is crucial for sustainable resource management aligned with forest-based climate solutions. The aim of this review is to assess how regional contextual factors and global trends impact the valuation of ecosystem services (ES) in East Africa, with two main objectives (1) to identify the most evaluated ES in East Africa and (2) to identify the preferred ES valuation methods and approaches applied in East Africa. Data from the Web of Science/Clarivate platform was used in the systematic review process using the Reporting standard for Systematic Evidence Syntheses to retrieve and analyse 222 articles. The ES were categorized using the Millennium Ecosystem Assessment framework and the Common International Classification of Ecosystem Services in order to create a review database. Provisioning services i.e., wood biomass and food production were the most assessed at 55%, followed by 30% regulating services i.e., carbon storage, 8.6% support services i.e., habitat and 6.4% cultural services i.e., ecotourism which reflected communities’ direct reliance on forest resources. The preferred direct ES valuation techniques included market price at 14.9% for assessing provisioning services and travel cost methods at 10.4% for cultural services. Amongst the indirect ES valuation techniques, remote sensing at 14.7% were preferred as they proved efficient for large and remote tropical forest areas. Participatory methods such as interviews at 11.8% were also preferred because they offer holistic perspectives on community priorities. This review provides spatial context on the regional priorities of ES valuation which is vital for safeguarding natural resources for future generations.

Patient motivation as a predictor of digital health intervention effects: A meta-epidemiological study of cancer trials.

The objective of this meta-epidemiological study was to develop a rating that captures participants' motivation at the study level in digital health intervention (DHI) randomised controlled trials (RCTs). The rating was used to investigate whether participants' motivation is associated with the effect estimates in DHI RCTs for cancer patients. The development of the rating was based on a bottom-up approach involving the collection of information that captures participants' baseline motivation in empirical studies from the Smartphone-RCCT Database. We specified three indicators for rating: indicator 1 captures whether the study team actively selects or enhances the motivation of the potential study participants; indicator 2 captures the study participants' active engagement before the treatment allocation; and indicator 3 captures the potential bond and trust between the study participants and the person/institution referring to the study. The rating of each indicator and the overall rating varies between high motivation, moderate motivation, and low motivation. We applied the rating across 27 DHI RCTs with cancer patients. We performed meta-regression analysis to examine the effect of patient motivation on quality of life (QoL), psychological outcomes, and attrition. The intraclass correlation coefficient (ICC) indicated moderate to poor inter-rater reliability. The meta-regression showed that cancer patients' overall motivation before engaging in the intervention was associated with the treatment effect of QoL. Patient motivation was not found to be associated with psychological outcomes or attrition. Subgroup analyses revealed that the clinical effects of DHIs were more prevalent in the high-motivation subgroups, whereas the low-motivation subgroups were unlikely to show intervention benefits. The likelihood of dropouts from DHIs seems to be especially high among the low-bond (indicator 3) subgroup. We suggest using single indicators since they reflect specific content. Better reporting about baseline motivation is required to enable meaningful interpretations in not only primary studies but also in evidence syntheses.

Automation of systematic reviews of biomedical literature: a scoping review of studies indexed in PubMed

BackgroundThe demand for high-quality systematic literature reviews (SRs) for evidence-based medical decision-making is growing. SRs are costly and require the scarce resource of highly skilled reviewers. Automation technology has been proposed to save workload and expedite the SR workflow. We aimed to provide a comprehensive overview of SR automation studies indexed in PubMed, focusing on the applicability of these technologies in real world practice.MethodsIn November 2022, we extracted, combined, and ran an integrated PubMed search for SRs on SR automation. Full-text English peer-reviewed articles were included if they reported studies on SR automation methods (SSAM), or automated SRs (ASR). Bibliographic analyses and knowledge-discovery studies were excluded. Record screening was performed by single reviewers, and the selection of full text papers was performed in duplicate. We summarized the publication details, automated review stages, automation goals, applied tools, data sources, methods, results, and Google Scholar citations of SR automation studies.ResultsFrom 5321 records screened by title and abstract, we included 123 full text articles, of which 108 were SSAM and 15 ASR. Automation was applied for search (19/123, 15.4%), record screening (89/123, 72.4%), full-text selection (6/123, 4.9%), data extraction (13/123, 10.6%), risk of bias assessment (9/123, 7.3%), evidence synthesis (2/123, 1.6%), assessment of evidence quality (2/123, 1.6%), and reporting (2/123, 1.6%). Multiple SR stages were automated by 11 (8.9%) studies. The performance of automated record screening varied largely across SR topics. In published ASR, we found examples of automated search, record screening, full-text selection, and data extraction. In some ASRs, automation fully complemented manual reviews to increase sensitivity rather than to save workload. Reporting of automation details was often incomplete in ASRs.ConclusionsAutomation techniques are being developed for all SR stages, but with limited real-world adoption. Most SR automation tools target single SR stages, with modest time savings for the entire SR process and varying sensitivity and specificity across studies. Therefore, the real-world benefits of SR automation remain uncertain. Standardizing the terminology, reporting, and metrics of study reports could enhance the adoption of SR automation techniques in real-world practice.

Cognitive behavioural therapy and third-wave approaches for anxiety and related disorders in older people.

Cognitive behavioural therapy (CBT) is the most researched psychological therapy for anxiety disorders in adults, and known to be effective in this population. However, it remains unclear whether these results apply to older adults, as most studies include participants between 18 and 55 years of age. This systematic review aims to provide a comprehensive and up-to-date synthesis of the available evidence on CBT and third wave approaches for older adults with anxiety and related disorders. To assess the effects of Cognitive Behavioural Therapy (CT, BT, CBT and third-wave CBT interventions) on severity of anxiety symptoms compared with minimal management (not providing therapy) for anxiety and related disorders in older adults, aged 55 years or over. To assess the effects of CBT and related therapies on severity of anxiety symptoms compared with other psychological therapies for anxiety and related disorders in older adults, aged 55 years or over. We searched the Cochrane Common Mental Disorders Controlled studies Register (CCMDCTR), CENTRAL, Ovid MEDLINE, Ovid Embase and Ovid PsycINFO to 21 July 2022. These searches were updated on 2 February 2024. We also searched the international studies registries, including Clinicalstudies.gov and the WHO International Clinical Trials Registry Platform (ICTRP), to identify additional ongoing and unpublished studies. These sources were manually searched for studies up to 12 February 2024. We included randomised controlled trials (RCTs) in older adults (≥ 55 years) with an anxiety disorder, or a related disorder, including obsessive compulsive disorder (OCD), acute stress disorder and post-traumatic stress disorder (PTSD), that compared CBT to either minimal management or an active (non-CBT) psychological therapy. Eligible studies had to have an anxiety-related outcome. Several authors independently screened all titles identified by the searches. All full texts were screened for eligibility according to our prespecified selection criteria. Data were extracted and the risk of bias was assessed using the Cochrane tool for RCTs. The certainty of evidence was evaluated using GRADE. Meta-analyses were performed for outcomes with quantitative data from more than one study. We included 21 RCTs on 1234 older people allocated to either CBT or control conditions. Ten studies focused on generalised anxiety disorder; others mostly included a mix of clinical diagnoses. Nineteen studies focused on the comparison between CBT and minimal management. Key issues relating to risk of bias were lack of blinding of participants and personnel, and participants dropping out of studies, potentially due to treatment preference and allocation. CBT may result in a small-to-moderate reduction of anxiety post-treatment (SMD -0.51, 95% CI -0.66 to -0.36, low-certainty evidence). However, compared to this benefit with CBT immediately after treatment, at three to six months post-treatment, there was little to no difference between CBT and minimal management (SMD -0.29, 95% CI -0.59 to 0.01, low-certainty evidence). CBT may have little or no effect on clinical recovery/ improvement post-treatment compared to minimal management, but the evidence is very uncertain (RR 1.56, 95% CI 1.20 to 2.03, very low-certainty evidence). Results indicate that five people would need to receive treatment for one additional person to benefit (NNTB = 5). Compared to minimal management, CBT may result in a reduction of comorbid depression symptoms post-treatment (SMD -0.57, 95% CI -0.74 to -0.40, low-certainty evidence). There was no difference in dropout rates post-treatment, although the certainty of the evidence was low (RR 1.19, 95% CI 0.80 to 1.78). Two studies reported adverse events, both of which related to medication in the control groups (very low-certainty evidence, no quantitative estimate). Only two studies compared CBT to other psychological therapies, both of which only included participants with post-traumatic stress disorder. Low-certainty evidence showed no difference in anxiety severity post-treatment and at four to six months post-treatment, symptoms of depression post-treatment, and dropout rates post-treatment. Other outcomes and time points are reported in the results section of the manuscript. CBT may be more effective than minimal management in reducing anxiety and symptoms of worry and depression post-treatment in older adults with anxiety disorders. The evidence is less certain longer-term and for other outcomes including clinical recovery/improvement. There is not enough evidence to determine whether CBT is more effective than alternative psychological therapies for anxiety in older adults.

Advances in methods for characterizing dietary patterns: A scoping review.

There is a growing focus on better understanding the complexity of dietary patterns and how they relate to health and other factors. Approaches that have not traditionally been applied to characterize dietary patterns, such as machine learning algorithms and latent class analysis methods, may offer opportunities to measure and characterize dietary patterns in greater depth than previously considered. However, there has not been a formal examination of how this wide range of approaches has been applied to characterize dietary patterns. This scoping review synthesized literature from 2005-2022 applying methods not traditionally used to characterize dietary patterns, referred to as novel methods. MEDLINE, CINAHL, and Scopus were searched using keywords including machine learning, latent class analysis, and least absolute shrinkage and selection operator (LASSO). Of 5274 records identified, 24 met the inclusion criteria. Twelve of 24 articles were published since 2020. Studies were conducted across 17 countries. Nine studies used approaches that have applications in machine learning to identify dietary patterns. Fourteen studies assessed associations between dietary patterns that were characterized using novel methods and health outcomes, including cancer, cardiovascular disease, and asthma. There was wide variation in the methods applied to characterize dietary patterns and in how these methods were described. The extension of reporting guidelines and quality appraisal tools relevant to nutrition research to consider specific features of novel methods may facilitate complete and consistent reporting and enable evidence synthesis to inform policies and programs aimed at supporting healthy dietary patterns.

A meta-ethnography of the factors that shape link workers’ experiences of social prescribing

BackgroundSocial prescribing is gaining traction internationally. It is an approach which seeks to address non-medical and health-related social needs through taking a holistic person-centred and community-based approach. This involves connecting people with and supporting them to access groups and organisations within their local communities. It is hoped that social prescribing might improve health inequities and reduce reliance on healthcare services. In the UK, social prescribing link workers have become core parts of primary care teams. Despite growing literature on the implementation of social prescribing, to date there has been no synthesis that develops a theoretical understanding of the factors that shape link workers’ experiences of their role.MethodsWe undertook a meta-ethnographic evidence synthesis of qualitative literature to develop a novel conceptual framework that explains how link workers experience their roles. We identified studies using a systematic search of key databases, Google alerts, and through scanning reference lists of included studies. We followed the eMERGe guidance when conducting and reporting this meta-ethnography.ResultsOur synthesis included 21 studies and developed a “line of argument” or overarching conceptual framework which highlighted inherent and interacting tensions present at each of the levels that social prescribing operates. These tensions may arise from a mismatch between the policy logic of social prescribing and the material and structural reality, shaped by social, political, and economic forces, into which it is being implemented.ConclusionsThe tensions highlighted in our review shape link workers’ experiences of their role. They may call into question the sustainability of social prescribing and the link worker role as currently implemented, as well as their ability to deliver desired outcomes such as reducing health inequities or healthcare service utilisation. Greater consideration should be given to how the link worker role is defined, deployed, and trained. Furthermore, thought should be given to ensuring that the infrastructure into which social prescribing is being implemented is sufficient to meet needs. Should social prescribing seek to improve outcomes for those experiencing social and economic disadvantage, it may be necessary for social prescribing models to allow for more intensive and longer-term modes of support.

Using choice modelling to inform service sustainability for dementia Meeting Centres for people living with dementia in the UK

Objectives This study explores the preferences and willingness-to-pay (WTP) of carers for Meeting Centres (MCs) attributes in assisting individuals with mild to moderate dementia. Method Preferences from 108 carers, gathered through UK-wide MC networks, were collected using a Discrete Choice Experiment survey. The survey incorporated attributes derived from evidence synthesis and lay consultation. A regression model estimated preference weights and marginal WTP for a change in attributes one a time within the MC support ‘package.' Results Carers preferred MCs offering a balanced mix of practical activities and emotional support, along with flexibility without booking requirements and low costs. Social opportunities and the frequency of the meeting were not prioritised. Respondents expressed a WTP of £43 to stay with ‘My MC,’ the preferred option, compared to transitioning to an alternative in-person MC, all else being equal. Various factors, including attendance modality, the relationship with the supported person, age, and gender, influenced carers’ choices. Conclusion These findings offer valuable insights into carers’ preferences, priorities, and WTP within MC support for those with mild to moderate dementia. Understanding these factors can guide the implementation and sustainability of MCs, ensuring alignment with carers’ needs and preferences and, ultimately, enhancing support for individuals with dementia.

Healthcare experiences of pregnant and postnatal women and healthcare professionals when facing child protection in the perinatal period: A systematic review and Critical Interpretative Synthesis.

The perinatal period is known as time of transition and anticipation. For women with social risk factors, child protection services may become involved during the perinatal period and this might complicate their interactions with healthcare providers. To systematically review and synthesise the existing qualitative evidence of healthcare experiences of women and healthcare professionals during the perinatal period while facing child protection involvement. A systematic search of databases (Web of Science, MEDLINE, EMBASE, PsychINFO, CINAHL, ASSIA, MIDIRS, Social Policy and Practice and Global Health) was carried out in January 2023, and updated in February 2024. Quality of studies was assessed using the Critical Appraisal Skills Programme. A Critical Interpretative Synthesis was used alongside the PRISMA reporting guideline. A total of 41 studies were included in this qualitative evidence synthesis. We identified three types of healthcare interactions: Relational care, Surveillance and Avoidance. Healthcare interactions can fluctuate between these types, and elements of different types can coexist simultaneously, indicating the complexity and reciprocal nature of healthcare interactions during the perinatal period when child protection processes are at play. Our findings provide a novel interpretation of the reciprocal interactions in healthcare encounters when child protection agencies are involved. Trust and transparency are key to facilitate relational care. Secure and appropriate information-sharing between agencies and professionals is required to strengthen healthcare systems. Healthcare professionals should have access to relevant training and supervision in order to confidently yet sensitively safeguard women and babies, while upholding principles of trauma-informed care. In addition, systemic racism in child protection processes exacerbate healthcare inequalities and has to be urgently addressed. Providing a clear framework of mutual expectations between families and healthcare professionals can increase engagement, trust and accountability and advance equity.

P-773 The absence and heterogeneity of pregnancy outcome definitions in randomized controlled trials of infertility: an overview of the literature

Abstract Study question What proportion of infertility trials reported pregnancy and live birth, how often were these outcomes defined, and what is the consistency in their definitions? Summary answer Almost 2/3 of infertility trials did not report live birth. One in four did not define clinical pregnancy. There was considerable heterogeneity in outcome definitions. What is known already The absent or inconsistent outcome definitions in randomized controlled trials (RCTs) complicate the interpretation of the trial results and undermine evidence synthesis. While reporting live births in infertility trials has been a long-running recommendation, the extent to which this is adhered to is unclear. Furthermore, it is unknown if the use of core outcome sets in infertility has improved the standardization of outcome reporting and what is the uptake of its recommendation on reporting live birth. Study design, size, duration We studied all RCTs in reproductive medicine published between 2012 and 2023. We aim to ascertain i) whether clinical pregnancy, ongoing pregnancy and live birth were reported; and ii) whether and how these pregnancy outcomes were defined. Participants/materials, setting, methods We systematically searched Embase, Medline and CENTRAL for RCTs in reproductive medicine from 2012 to 2023. RCTs involving infertile women that reported either biochemical pregnancy, clinical pregnancy, ongoing pregnancy, or live birth were eligible, while conference abstracts, secondary analyses or non-English written RCTs were not. Two authors independently screened articles. We used text-mining to extract pregnancy definitions in R. The accuracy of automatic data extraction was verified with a random sample of 20 articles. Main results and the role of chance After screening 5708 articles, 1,311 were included, of which 21 have been retracted. Manual checks of 20 papers confirmed the accuracy of text-mining. Among 1311 RCTs, 61% of articles reported pregnancy without data on live birth, while only 14% of all RCTs reported on clinical pregnancy, ongoing pregnancy and live birth; 13% of RCTs reported pregnancy without specifying a definition (biochemical, clinical or ongoing). Definitions for clinical pregnancy, ongoing pregnancy and live birth were not provided in 27% (270/1010), 39% (153/389) and 68% (373/549) of articles reporting data on respectively clinical pregnancy, ongoing pregnancy and live birth. Among 740 clinical pregnancy definitions, 46% included gestational age (weeks), ranging from 3 to 16 weeks, typically at 6 to 7 weeks in 40% of definitions. Gestational sac and fetal heartbeat appeared respectively in 64% and 55% of the definitions. Of 236 ongoing pregnancy definitions, 94% included gestational age (weeks), stretching from 6 to 28 weeks, typically at 12 weeks in 52% of definitions. Gestational sac and fetal heartbeat appeared in 9% and 63% of the definitions, respectively. Among 176 live birth definitions, 64% used a gestational age (weeks) threshold, varying from 20 to 34 weeks, typically at week 24 in 30% of definitions. Limitations, reasons for caution While we optimized the text-mining algorithm attempting to identify all types of outcome definitions and manually curated all extracted definitions, there were definitions that we incorrectly omitted. Wider implications of the findings Despite recommendations to report live births in core outcome sets, only a third of RCTs did so, highlighting a disconnection between the advocated outcome and what researchers are reporting. The significant lack and variability of pregnancy definitions underscore the imperative to increase the dissemination and uptake of standardized pregnancy outcomes. Trial registration number Not applicable

Health technology assessment implementation in WHO South-East Asia Region: a realist review protocol.

A robust Health Technology Assessment (HTA) framework is crucial to address the rising burden of healthcare costs and to inform decision-making to promote high-quality health systems. This research aims to describe the HTA methods and mechanisms for the successful implementation of HTA in the WHO South-East Asia region, and contextualize the synthesized evidence relevant to Indian settings. Realist review involves developing a program theory by conducting a systematic search strategy, screening, study selection, data extraction, and data synthesis. A systematic search for literature will be conducted on PubMed (NCBI), EMBASE (Elsevier), Scopus (Elsevier), Web of Science (Clarivate), and ProQuest Central for identifying the methods used for HTA of health technology interventions. Stakeholder consultations will be conducted to develop a program theory following the Context-Mechanism-Outcome configurations (CMOcs) framework. Searches for primary evidence will be conducted iteratively. Data will be extracted and tested against the programme theory. The proposed realist review will be reported as per the Realist and MEta-narrative Evidence Syntheses: Evolving Standards [RAMESES II] guidelines. To our knowledge, there has been no comprehensive review conducted to understand the mechanisms of HTA methods in the WHO South-East Asia region. The findings from the realist review will help us understand the mechanisms through which the HTA could work in WHO South-East Asian countries. We will then contextualize the findings obtained from evidence to Indian settings, based on program theory development through stakeholder consultation. A framework will be developed that can be used by policymakers/HTA experts in India for effective implementation of the same.