-
Journal of Health Services Research &... Jun 2024To explore the technology-based tools available for supporting the identification of victims of domestic abuse and modern slavery in remote services and consider the... (Review)
Review
OBJECTIVE
To explore the technology-based tools available for supporting the identification of victims of domestic abuse and modern slavery in remote services and consider the benefits and challenges posed by the existing tools.
METHODS
We searched six academic databases. Studies were considered for inclusion if they were published in English between 2000 and 2023. The QuADS quality appraisal tool was used to assess the methodological quality of included studies. A narrative synthesis was conducted using the convergent integrated approach.
RESULTS
Twenty-four studies were included, of which two were professional guidelines; each reported on a distinct technology-based tool for remote services. All tools related to domestic abuse and 21 focused on screening for intimate partner violence among young and mid-life women (18-65) in high-income countries. The review did not identify tools that support the identification of victims of modern slavery. We identified eight common themes of tool strengths, highlighting that the remote approach to screening was practical, acceptable to victims, and, in some circumstances, elicited better outcomes than face-to-face approaches. Five themes pointed to tool challenges, such as concerns around privacy and safety, and the inability of computerised tools to provide empathy and emotional support.
CONCLUSIONS
Available technology-based tools may support the identification of victims of domestic abuse by health and social care practitioners in remote services. However, it is important to be mindful of the limitations of such tools and the effects individuals' screening preferences can have on outcomes. Future research should focus on developing tools to support the identification of victims of modern slavery, as well as empirically validating tools for screening during remote consultations.
PubMed: 38849123
DOI: 10.1177/13558196241257864 -
Industrial Health Jun 2024Workplace violence is a significant problem in industry, especially among rank-and-file workers, known as "blue-collar workers". This systematic review and meta-analysis...
Workplace violence is a significant problem in industry, especially among rank-and-file workers, known as "blue-collar workers". This systematic review and meta-analysis aim to evaluate the suitability of the reduced Negative Acts Questionnaire (NAQ-R) as an instrument to measure workplace violence in this type of population and synthesize the results of studies that have used it in different industrial sectors. A systematic review was conducted in accordance with the PRISMA 2020 statement. Publications describing populations of industrial workers were identified and included in the meta-analysis. For meta-analysis, we extracted data that allowed us to estimate the effect size of the included studies. We used a random-effects model to estimate the overall effect size and assessed heterogeneity between studies using the I² statistic. The global effect size test showed that the overall effect size was significantly different from zero (3.00, t=22.28, p<0.001), indicating an overall effect in relation to workplace violence measured by the NAQ-R in industrial workers. Our results support the claim that the NAQ-R is an effective tool for assessing workplace violence among industrial workers. These findings have important implications for practitioners and researchers working in the field of industrial psychology and occupational health.
PubMed: 38839344
DOI: 10.2486/indhealth.2023-0114 -
Journal of Medical Internet Research Jun 2024Social media use has potential to facilitate the rapid dissemination of research evidence to busy health and social care practitioners. (Meta-Analysis)
Meta-Analysis
BACKGROUND
Social media use has potential to facilitate the rapid dissemination of research evidence to busy health and social care practitioners.
OBJECTIVE
This study aims to quantitatively synthesize evidence of the between- and within-group effectiveness of social media for dissemination of research evidence to health and social care practitioners. It also compared effectiveness between different social media platforms, formats, and strategies.
METHODS
We searched electronic databases for articles in English that were published between January 1, 2010, and January 10, 2023, and that evaluated social media interventions for disseminating research evidence to qualified, postregistration health and social care practitioners in measures of reach, engagement, direct dissemination, or impact. Screening, data extraction, and risk of bias assessments were carried out by at least 2 independent reviewers. Meta-analyses of standardized pooled effects were carried out for between- and within-group effectiveness of social media and comparisons between platforms, formats, and strategies. Certainty of evidence for outcomes was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework.
RESULTS
In total, 50 mixed-quality articles that were heterogeneous in design and outcome were included (n=9, 18% were randomized controlled trials [RCTs]). Reach (measured in number of practitioners, impressions, or post views) was reported in 26 studies. Engagement (measured in likes or post interactions) was evaluated in 21 studies. Direct dissemination (measured in link clicks, article views, downloads, or altmetric attention score) was analyzed in 23 studies (8 RCTs). Impact (measured in citations or measures of thinking and practice) was reported in 13 studies. Included studies almost universally indicated effects in favor of social media interventions, although effect sizes varied. Cumulative evidence indicated moderate certainty of large and moderate between-group effects of social media interventions on direct dissemination (standardized mean difference [SMD] 0.88; P=.02) and impact (SMD 0.76; P<.001). After social media interventions, cumulative evidence showed moderate certainty of large within-group effects on reach (SMD 1.99; P<.001), engagement (SMD 3.74; P<.001), and direct dissemination (SMD 0.82; P=.004) and low certainty of a small within-group effect on impacting thinking or practice (SMD 0.45; P=.02). There was also evidence for the effectiveness of using multiple social media platforms (including Twitter, subsequently rebranded X; and Facebook), images (particularly infographics), and intensive social media strategies with frequent, daily posts and involving influential others. No included studies tested the dissemination of research evidence to social care practitioners.
CONCLUSIONS
Social media was effective for disseminating research evidence to health care practitioners. More intense social media campaigns using specific platforms, formats, and strategies may be more effective than less intense interventions. Implications include recommendations for effective dissemination of research evidence to health care practitioners and further RCTs in this field, particularly investigating the dissemination of social care research.
TRIAL REGISTRATION
PROSPERO International Prospective Register of Systematic Reviews CRD42022378793; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=378793.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)
RR2-10.2196/45684.
Topics: Humans; Health Personnel; Information Dissemination; Social Media
PubMed: 38838330
DOI: 10.2196/51418 -
International Wound Journal Jun 2024To assess all published studies which describe what happens to the delivery of pressure ulcer/injury (PI/PU) care pathways as a result of detecting raised sub-epidermal... (Review)
Review
To assess all published studies which describe what happens to the delivery of pressure ulcer/injury (PI/PU) care pathways as a result of detecting raised sub-epidermal moisture (SEM) delta (∆ ≥ 0.6). We undertook a systematic review of the literature, and included original research studies using either a prospective or retrospective study design that report the impact that assessment using SEM assessments have on healthcare practitioners' delivery of PI/PU care pathways in adults at risk of developing PI/PUs. The review protocol was registered on PROSPERO (CRD42023416975). A literature search was conducted in May 2023, using PubMed, CINAHL, Scopus, Cochrane, EMBASE, Web of Science and Science Direct databases. Data were extracted using a data extraction tool including elements such as country, setting, sample size, intervention, control and quality appraisal was undertaken using the Evidence-based Librarianship. We identified nine papers published between 2017 and 2022. The majority of these studies were conducted in England (n = 6; 67%). The systematic review included studies conducted across multiple care settings including acute care, medical-surgical units, and palliative care, highlighting the importance of PI/PU prevention and management across diverse patient populations. The PI/PU care pathways implemented in the studies varied, but commonly included elements such as the application or increased use of pressure-redistributing mattresses/cushions, implementation of repositioning plans, management of incontinence and moisture, regular skin inspection, and assessment of patient mobility. Out of the nine studies identified, seven reported PI/PU incidence. A meta-analysis of seven studies (N = 18 451) demonstrated a statistically significant reduction in visual PI/PU development in favour of SEM-guided care pathways compared to usual care (the odds ratio = 0.36 [95% confidence interval: 0.24-0.53, p < 0.00001]). This systematic review provides evidence that implementing SEM assessments in patients at risk of developing PI/PUs prompts anatomy-specific clinical actions. The subsequent implementation of enhanced and targeted skin care interventions leads to consistent and sustained reductions in hospital-acquired PU incidence. The findings emphasise the importance of incorporating SEM assessments as part of comprehensive PI/PU prevention strategies in all care settings and patient populations. This systematic review is limited by the predominance of observational studies and variable study quality. Future research should focus on randomised trials in different care settings that monitor the efficacy of preventive interventions and their impact in reducing PI/PU incidence when implemented based on SEM assessments.
Topics: Pressure Ulcer; Humans; Male; Female; Middle Aged; Aged; Adult; Aged, 80 and over; Critical Pathways; Delivery of Health Care
PubMed: 38832363
DOI: 10.1111/iwj.14928 -
Environmental Science and Ecotechnology Jul 2024The dynamic landscape of sustainable smart cities is witnessing a significant transformation due to the integration of emerging computational technologies and innovative... (Review)
Review
The dynamic landscape of sustainable smart cities is witnessing a significant transformation due to the integration of emerging computational technologies and innovative models. These advancements are reshaping data-driven planning strategies, practices, and approaches, thereby facilitating the achievement of environmental sustainability goals. This transformative wave signals a fundamental shift - marked by the synergistic operation of artificial intelligence (AI), artificial intelligence of things (AIoT), and urban digital twin (UDT) technologies. While previous research has largely explored urban AI, urban AIoT, and UDT in isolation, a significant knowledge gap exists regarding their synergistic interplay, collaborative integration, and collective impact on data-driven environmental planning in the dynamic context of sustainable smart cities. To address this gap, this study conducts a comprehensive systematic review to uncover the intricate interactions among these interconnected technologies, models, and domains while elucidating the nuanced dynamics and untapped synergies in the complex ecosystem of sustainable smart cities. Central to this study are four guiding research questions: 1. What theoretical and practical foundations underpin the convergence of AI, AIoT, UDT, data-driven planning, and environmental sustainability in sustainable smart cities, and how can these components be synthesized into a novel comprehensive framework? 2. How does integrating AI and AIoT reshape the landscape of data-driven planning to improve the environmental performance of sustainable smart cities? 3. How can AI and AIoT augment the capabilities of UDT to enhance data-driven environmental planning processes in sustainable smart cities? 4. What challenges and barriers arise in integrating and implementing AI, AIoT, and UDT in data-driven environmental urban planning, and what strategies can be devised to surmount or mitigate them? Methodologically, this study involves a rigorous analysis and synthesis of studies published between January 2019 and December 2023, comprising an extensive body of literature totaling 185 studies. The findings of this study surpass mere interdisciplinary theoretical enrichment, offering valuable insights into the transformative potential of integrating AI, AIoT, and UDT technologies to advance sustainable urban development practices. By enhancing data-driven environmental planning processes, these integrated technologies and models offer innovative solutions to address complex environmental challenges. However, this endeavor is fraught with formidable challenges and complexities that require careful navigation and mitigation to achieve desired outcomes. This study serves as a comprehensive reference guide, spurring groundbreaking research endeavors, stimulating practical implementations, informing strategic initiatives, and shaping policy formulations in sustainable urban development. These insights have profound implications for researchers, practitioners, and policymakers, providing a roadmap for fostering resiliently designed, technologically advanced, and environmentally conscious urban environments.
PubMed: 38831974
DOI: 10.1016/j.ese.2024.100433 -
International Journal of Implant... May 2024The rise of stereolithographic surgical guides and digital workflow, combined with a better knowledge of materials and loading principle, has enabled the placement of... (Review)
Review
PURPOSE
The rise of stereolithographic surgical guides and digital workflow, combined with a better knowledge of materials and loading principle, has enabled the placement of the temporary prosthesis at the time of implant placement. This scoping review aimed to assess the current knowledge available on stackable guides.
METHODS
The review focused on fully edentulous or requiring total edentulism patients. The procedure studied was the use of stackable guides for edentulous patients in order to place immediate temporary prostheses. The clinical endpoint was immediate placement of the provisional prosthesis after surgery combined with a prior bone reduction using a stackable guide.
RESULTS
12 case reports or case series articles met inclusion criteria, which did not allow an analysis by a systematic review. The included studies were case reports or case series. Most of the articles showed a base stabilized by 3 or 4 bone-pins, anchored in buccal or lingual part. Regarding the accuracy of bone reduction (ranged from 0.0248 mm to 1.98 mm) and implant placement when compared to planned, only 4 articles reported quantitative data. 11 articles showed an immediate loading with the transitional prosthesis after implant placement.
CONCLUSIONS
There are as yet no prospective or comparative studies on the efficiency of this technique. In a reliable way, stackable guides seem to be able to guide the practitioner from the flap elevation to the placement of the temporary screw-retained implant supported prosthesis. Given the lack of studies in this specific field of guided surgery, further studies are needed to confirm the clinical relevance of this technique.
Topics: Humans; Dental Implantation, Endosseous; Surgery, Computer-Assisted; Immediate Dental Implant Loading; Mouth, Edentulous
PubMed: 38819752
DOI: 10.1186/s40729-024-00547-w -
BMJ Open May 2024Electronic health record (EHR) systems are used extensively in healthcare; their design can influence clinicians' behaviour. We conducted a systematic review of...
OBJECTIVES
Electronic health record (EHR) systems are used extensively in healthcare; their design can influence clinicians' behaviour. We conducted a systematic review of EHR-based interventions aimed at changing the clinical practice of general practitioners in the UK, assessed their effectiveness and applied behaviour change theory to identify lessons for other settings.
DESIGN
Mixed methods systematic review.
DATA SOURCES
MEDLINE, EMBASE, CENTRAL and APA PsycINFO were searched up to March 2023.
ELIGIBILITY CRITERIA
Quantitative and qualitative findings from randomised controlled trials (RCTs) controlled before-and-after studies and interrupted time series of EHR-based interventions in UK general practice were included.
DATA EXTRACTION AND SYNTHESIS
Quantitative synthesis was based on Cochrane's Synthesis without Meta-analysis. Interventions were categorised using the Behaviour Change Wheel and MINDSPACE frameworks and effectiveness determined by vote-counting using direction of effect. Inductive thematic synthesis was used for qualitative studies.
RESULTS
Database searching identified 3824 unique articles; 10 were included (from 2002 to 2021), comprising eight RCTs and two associated qualitative studies. Four of seven quantitative studies showed a positive effect on clinician behaviour and three on patient-level outcomes. Behaviour change techniques that may trigger emotions and required less cognitive engagement appeared to have positive effects. Qualitative findings indicated that interventions reassured clinicians of their decisions but were sometimes ignored.
CONCLUSION
Despite widespread use, there is little high quality, up-to-date experimental evidence evaluating the effectiveness of EHR-based interventions in UK general practice. The evidence suggested EHR-based interventions may be effective at changing behaviour. Persistent, simple action-oriented prompts appeared more effective than complex interventions requiring greater cognitive engagement. However, studies lacked detail in intervention design and theory behind design choices. Future research should seek to optimise EHR-based behaviour change intervention design and delineate limitations, providing theory-based justification for interventions. This will be of increasing importance with the growing use of EHRs to influence clinicians' decisions.
PROSPERO REGISTRATION NUMBER
CRD42022341009.
Topics: Humans; Electronic Health Records; United Kingdom; General Practitioners; Practice Patterns, Physicians'; General Practice; Behavior Therapy
PubMed: 38816046
DOI: 10.1136/bmjopen-2023-080546 -
Journal of Translational Medicine May 2024The appropriate use of predictive equations in estimating body composition through bioelectrical impedance analysis (BIA) depends on the device used and the subject's... (Review)
Review
The appropriate use of predictive equations in estimating body composition through bioelectrical impedance analysis (BIA) depends on the device used and the subject's age, geographical ancestry, healthy status, physical activity level and sex. However, the presence of many isolated predictive equations in the literature makes the correct choice challenging, since the user may not distinguish its appropriateness. Therefore, the present systematic review aimed to classify each predictive equation in accordance with the independent parameters used. Sixty-four studies published between 1988 and 2023 were identified through a systematic search of international electronic databases. We included studies providing predictive equations derived from criterion methods, such as multi-compartment models for fat, fat-free and lean soft mass, dilution techniques for total-body water and extracellular water, total-body potassium for body cell mass, and magnetic resonance imaging or computerized tomography for skeletal muscle mass. The studies were excluded if non-criterion methods were employed or if the developed predictive equations involved mixed populations without specific codes or variables in the regression model. A total of 106 predictive equations were retrieved; 86 predictive equations were based on foot-to-hand and 20 on segmental technology, with no equations used the hand-to-hand and leg-to-leg. Classifying the subject's characteristics, 19 were for underaged, 26 for adults, 19 for athletes, 26 for elderly and 16 for individuals with diseases, encompassing both sexes. Practitioners now have an updated list of predictive equations for assessing body composition using BIA. Researchers are encouraged to generate novel predictive equations for scenarios not covered by the current literature.Registration code in PROSPERO: CRD42023467894.
Topics: Electric Impedance; Humans; Body Composition; Male; Female; Reference Standards; Adult; Middle Aged
PubMed: 38812005
DOI: 10.1186/s12967-024-05272-x -
BMC Medical Education May 2024Shared decision making (SDM) has been presented as the preferred approach for decisions where there is more than one acceptable option and has been identified a priority...
BACKGROUND
Shared decision making (SDM) has been presented as the preferred approach for decisions where there is more than one acceptable option and has been identified a priority feature of high-quality patient-centered care. Considering the foundation of trust between general practitioners (GPs) and patients and the variety of diseases in primary care, the primary care context can be viewed as roots of SDM. GPs are requesting training programs to improve their SDM skills leading to a more patient-centered care approach. Because of the high number of training programs available, it is important to overview these training interventions specifically for primary care and to explore how these training programs are evaluated.
METHODS
This review was reported in accordance with the PRISMA guideline. Eight different databases were used in December 2022 and updated in September 2023. Risk of bias was assessed using ICROMS. Training effectiveness was analyzed using the Kirkpatrick evaluation model and categorized according to training format (online, live or blended learning).
RESULTS
We identified 29 different SDM training programs for GPs. SDM training has a moderate impact on patient (SMD 0.53 95% CI 0.15-0.90) and observer reported SDM skills (SMD 0.59 95%CI 0.21-0.97). For blended training programs, we found a high impact for quality of life (SMD 1.20 95% CI -0.38-2.78) and patient reported SDM skills (SMD 2.89 95%CI -0.55-6.32).
CONCLUSION
SDM training improves patient and observer reported SDM skills in GPs. Blended learning as learning format for SDM appears to show better effects on learning outcomes than online or live learning formats. This suggests that teaching facilities designing SDM training may want to prioritize blended learning formats. More homogeneity in SDM measurement scales and evaluation approaches and direct comparisons of different types of educational formats are needed to develop the most appropriate and effective SDM training format.
TRIAL REGISTRATION
PROSPERO: A systematic review of shared-decision making training programs in a primary care setting. PROSPERO 2023 CRD42023393385 Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023393385 .
Topics: Humans; Decision Making, Shared; General Practitioners; Patient-Centered Care; Primary Health Care; Physician-Patient Relations
PubMed: 38811922
DOI: 10.1186/s12909-024-05557-1 -
Journal of Health Economics and... 2024Congenital heart disease is the most common congenital condition worldwide, with a prevalence of 80 cases per 10 000 live births. In addition to perinatal morbidity...
Congenital heart disease is the most common congenital condition worldwide, with a prevalence of 80 cases per 10 000 live births. In addition to perinatal morbidity and mortality, it entails long-term consequences such as multiple surgeries, prolonged hospitalizations, lifelong cardiac follow-up, reduced quality of life, risk of heart failure, and premature mortality in adulthood. This significant health and economic burden on healthcare systems and families highlights the relevance of evaluating the cost-effectiveness of methods for early detection of this condition. To conduct a systematic literature review (SLR) to identify and analyze existing economic evaluations on prenatal detection of congenital heart diseases through ultrasound, focusing on the reported cost-effectiveness results and the methodological quality of the evaluated studies according to established criteria. An SLR of economic evaluations was conducted following PRISMA guidelines. A quantitative synthesis of key methodological components of each economic evaluation was performed. The incremental medical costs, effectiveness measures, and cost-effectiveness ratios reported in each study were compiled and compared. The methodological quality was assessed according to compliance with the 24 CHEERS criteria. We found 785 articles, of which only 7 met all inclusion criteria. Most were cost-effectiveness analyses, with the most common outcome being number of cases detected. Screening with only 4-chamber views interpreted by general practitioners or cardiologists were dominant strategies compared with screening with 4-chamber plus outflow views interpreted by a general practitioner. Fetal echocardiography was most effective but most expensive. Screening with 4-chamber and outflow view, followed by referral to a specialist, were recommended as the least expensive strategy per defect detected. On average, articles met 17 of the 24 CHEERS criteria. While recent cost-effectiveness analyses demonstrated improved methodological quality, there was a lack of homogeneity due to differences in comparators and population subgroups analyzed. Despite this heterogeneity, fetal ultrasonography screening was consistently identified as a cost-effective strategy, with its cost-effectiveness heavily influenced by the expertise of the interpreting physician. Most studies recommend implementing obstetric ultrasonography screening, without routine fetal echocardiography, for detecting congenital heart diseases.
PubMed: 38800495
DOI: 10.36469/001c.116147