Identifying best practices for substance-related intimate partner violence screening and referral: a narrative review.

Introduction: Substance use is strongly associated with intimate partner violence (IPV) and is a modifiable risk factor for IPV. However, lack of comprehensive screening and referral for co-occurring IPV and substance use, along with their psychiatric sequalae, limits the identification and implementation of effective interventions for substance-related IPV. This narrative review (1) investigates the literature on screening and referral practices for IPV, and if these include screening for substance use or other psychiatric comorbidities, (2) provides recommendations for current best practices, and (3) suggests future directions for research and practice aimed at identifying and reducing substance-related IPV. Methods: A narrative literature review examined studies investigating IPV screening and referral programs in clinics. Selected studies were reviewed for: (1) effectiveness, (2) barriers to implementation and sustainability, and (3) responsivity to psychiatric comorbidity, including substance use and substance use disorders (SUD). Results: Findings suggest that effective IPV screening and referral programs have been developed, but disparities in IPV screening exist and many programs only screen for IPV victimization. Barriers to the implementation and sustainability of IPV screening programs include lack of ongoing provider training, funding or institutional support, and direct connection to referral services. Further, many IPV screening programs lack assessment of and referral for comorbid psychiatric conditions, including substance use, and tend not to be routinely implemented in SUD clinics. Discussion: Additional systematic work is needed to develop universal and comprehensive screening and referral programs for substance-related IPV and address issues of long-term sustainability, particularly within SUD treatment settings.

Obtaining informed consent in veterinary clinical trials mini review.

In September 2023 the United States Food and Drug Administration (FDA) released draft guidance for comment about how informed client consent for companion animal clinical trials should be obtained. This guidance has the potential to substantially change how informed consent documents are written and presented to clients in the veterinary community. It provides specifics not only about how to obtain informed consent from owners but also the timeframe within which consent should be obtained, the formatting and language in the consent forms, and details on elements that are required to be in these consent forms. These changes will involve additional efforts by investigators to ensure compliance yet might lead to increased owner compliance and higher enrollment in clinical studies with subsequent benefits for all.

The Neurostimulation Appropriateness Consensus Committee (NACC)®: Recommendations for the Mitigation of Complications of Neurostimulation.

INTRODUCTION: The International Neuromodulation Society convened a multispecialty group of physicians based on expertise and international representation to establish evidence-based guidance on the mitigation of neuromodulation complications. This Neurostimulation Appropriateness Consensus Committee (NACC)® project intends to update evidence-based guidance and offer expert opinion that will improve efficacy and safety. MATERIALS AND METHODS: Authors were chosen on the basis of their clinical expertise, familiarity with the peer-reviewed literature, research productivity, and contributions to the neuromodulation literature. Section leaders supervised literature searches of MEDLINE, BioMed Central, Current Contents Connect, Embase, International Pharmaceutical Abstracts, Web of Science, Google Scholar, and PubMed from 2017 (when NACC last published guidelines) to October 2023. Identified studies were graded using the United States Preventive Services Task Force criteria for evidence and certainty of net benefit. Recommendations are based on the strength of evidence or consensus when evidence was scant. RESULTS: The NACC examined the published literature and established evidence- and consensus-based recommendations to guide best practices. Additional guidance will occur as new evidence is developed in future iterations of this process. CONCLUSIONS: The NACC recommends best practices regarding the mitigation of complications associated with neurostimulation to improve safety and efficacy. The evidence- and consensus-based recommendations should be used as a guide to assist decision-making when clinically appropriate.

Establishing Best Practices in Telehealth Care for Adults with Developmental Disabilities in the United States: An e-Delphi Study.

Background: Telehealth care is now a key element of mainstream health care since the COVID-19 pandemic, with all types of health care providers joining the digital revolution. As a population experiencing health care disparities, adults with developmental disabilities and their supporters have described variable experiences with telehealth care that contribute to overall care quality and health outcomes. Methods: This e-Delphi study established consensus on best practices in telehealth care for adults with developmental disabilities in the United States. Online surveys and videoconferencing interviews were conducted with 44 expert panelists with experience with telehealth care and developmental disabilities, including adults with developmental disabilities, family members, direct support professionals, nurses, and health care providers. Results: Three rounds of surveys resulted in a set of 9 guidelines consisting of 42 items. The guidelines addressed 1) appropriate situations for telehealth care, 2) communication needs and preferences, 3) support person collaboration, 4) education and anticipatory guidance, 5) reminders, 6) coordination of care, 7) equitable and fair access, 8) privacy and safety, and 9) evidence-based practice. Conclusion: Health care providers can adopt these best practice guidelines to ensure telehealth care is provided equitably and safely to adults with developmental disabilities. Policy advocacy is needed for the uptake of these guidelines and for health care providers and adults with developmental disabilities to access the resources needed for safe and effective telehealth care use.

Associations between Negative Patient Safety Climate and Infection Prevention Practices.

The relationships among positive perceptions of safety climate and healthcare worker behaviors have been increasingly documented in the literature. The potential influence of negative perceptions is underexplored and has not been examined specifically in relation to standard precaution adherence. We addressed this gap using data collected as part of a multi-site, cross-sectional study that included responses from 452 nurses working on 43 medical surgical hospital units. This brief report describes associations identified between negative perceptions of patient safety climate and standard precaution adherence of hospital-based nurses.

Healthcare providers' perspectives on sustaining respectful maternity care appreciated by mothers in five hospitals of Rwanda.

BACKGROUND: Childbirth reserves respect, as emphasized by the World Health Organization in 2018, and the focus towards the need for positive, dignified delivery experiences has become an integral aspect of Respectful Maternity Care (RMC). It is a known fact that RMC is pivotal for favourable birth outcomes and contributes to the satisfaction of maternity care. The absence of RMC negatively affects women's and newborns' rights. The study aimed to explore healthcare providers' perspectives on sustaining RMC actions that mothers previously reported. METHODOLOGY: This study was conducted in five hospitals in the Eastern province of Rwanda, involving 5 Focus Group Discussions (FGDs) with midwives and nurses. For interviews, we purposively selected 5-unit managers and five physicians. Additionally, 40 midwives and nurses were recruited for the FGDs. The research utilized the Dream phase of Appreciative Inquiry (AI) for interviews and Focus Groups. Data collection aimed to gain insights into Healthcare Providers' perceptions of how RMC is provided and how to establish and sustain RMC in Rwandan health facilities. Nvivo 12 was employed for organizing codes and creating a codebook, and thematic analysis was applied. RESULTS: Four themes with sub-themes emerged. Namely, 1) Women-centered care, with Compassionate care, Privacy and confidentiality maintenance, Information provision and Liberty in decision making, Effective communication, Family involvement, Cleanliness, and Equality care. 2) Professionalism compliance with Motivated staff, Teamwork, Continuous development, Quality work provision, and Community trust. 3) RMC encounters 4) RMC sustenance. CONCLUSION AND RECOMMENDATIONS: The continuous pursuit of high RMC standards in Rwanda involves improving childbirth experiences through utilizing existing resources, ongoing improvement, and sustaining achievements. Key recommended actions in this study for sustaining RMC encompass promoting women-centred care, enhancing healthcare provider attitudes, ensuring professionalism, building community trust, maintaining conducive health facility environments, and involving leadership.

Transparency and reproducibility in the Adolescent Brain Cognitive Development (ABCD) study.

BACKGROUND: Transparency can build trust in the scientific process, but scientific findings can be undermined by poor and obscure data use and reporting practices. The purpose of this work is to report how data from the Adolescent Brain Cognitive Development (ABCD) Study has been used to date, and to provide practical recommendations on how to improve the transparency and reproducibility of findings. METHODS: Articles published from 2017 to 2023 that used ABCD Study data were reviewed using more than 30 data extraction items to gather information on data use practices. Total frequencies were reported for each extraction item, along with computation of a Level of Completeness (LOC) score that represented overall endorsement of extraction items. Univariate linear regression models were used to examine the correlation between LOC scores and individual extraction items. Post hoc analysis included examination of whether LOC scores were correlated with the logged 2-year journal impact factor. RESULTS: There were 549 full-length articles included in the main analysis. Analytic scripts were shared in 30 % of full-length articles. The number of participants excluded due to missing data was reported in 60 % of articles, and information on missing data for individual variables (e.g., household income) was provided in 38 % of articles. A table describing the analytic sample was included in 83 % of articles. A race and/or ethnicity variable was included in 78 % of reviewed articles, while its inclusion was justified in only 41 % of these articles. LOC scores were highly correlated with extraction items related to examination of missing data. A bottom 10 % of LOC score was significantly correlated with a lower logged journal impact factor when compared to the top 10 % of LOC scores (ß=-0.77, 95 % -1.02, -0.51; p-value < 0.0001). CONCLUSION: These findings highlight opportunities for improvement in future papers using ABCD Study data to readily adapt analytic practices for better transparency and reproducibility efforts. A list of recommendations is provided to facilitate adherence in future research.

The Neurostimulation Appropriateness Consensus Committee (NACC)®: Recommendations for Spinal Cord Stimulation Long-term Outcome Optimization and Salvage Therapy.

INTRODUCTION: The International Neuromodulation Society (INS) has recognized a need to establish best practices for optimizing implantable devices and salvage when ideal outcomes are not realized. This group has established the Neurostimulation Appropriateness Consensus Committee (NACC)® to offer guidance on matters needed for both our members and the broader community of those affected by neuromodulation devices. MATERIALS AND METHODS: The executive committee of the INS nominated faculty for this NACC® publication on the basis of expertise, publications, and career work on the issue. In addition, the faculty was chosen in consideration of diversity and inclusion of different career paths and demographic categories. Once chosen, the faculty was asked to grade current evidence and along with expert opinion create consensus recommendations to address the lapses in information on this topic. RESULTS: The NACC® group established informative and authoritative recommendations on the salvage and optimization of care for those with indwelling devices. The recommendations are based on evidence and expert opinion and will be expected to evolve as new data are generated for each topic. CONCLUSIONS: NACC® guidance should be considered for any patient with less-than-optimal outcomes with a stimulation device implanted for treating chronic pain. Consideration should be given to these consensus points to salvage a potentially failed device before explant.

American Society of Pain and Neuroscience Best Practice (ASPN) Guideline for the Treatment of Sacroiliac Disorders.

Clinical management of sacroiliac disease has proven challenging from both diagnostic and therapeutic perspectives. Although it is widely regarded as a common source of low back pain, little consensus exists on the appropriate clinical management of sacroiliac joint pain and dysfunction. Understanding the biomechanics, innervation, and function of this complex load bearing joint is critical to formulating appropriate treatment algorithms for SI joint disorders. ASPN has developed this comprehensive practice guideline to serve as a foundational reference on the appropriate management of SI joint disorders utilizing the best available evidence and serve as a foundational guide for the treatment of adult patients in the United States and globally.

The use of sequential window acquisition of all theoretical fragment ion spectra (SWATH), a data-independent acquisition high-resolution mass spectrometry approach, in forensic toxicological regimes: A review.

Sequential window acquisition of all theoretical fragment ion spectra (SWATH) is a type of high-resolution mass spectrometry that uses data-independent acquisition. Compared with more targeted acquisition schemes, the power behind this data-independent acquisition technique comes from its ability to mitigate interferences via the use of SWATH acquisition windows (Q1 quadrupole isolation windows) while still obtaining all accurate mass information. However, consistent with high-resolution mass spectrometry techniques, its routine and high throughput implementation in forensic toxicology is limited due to the complex processing power required to effectively manage the large amount of acquired data. It is therefore pivotal to create an efficient and validated identification criterion that confidently reports suspected positive detections as a confirmational technique for final reporting. This review examines all publications that implemented SWATH in a forensic toxicological framework with suggestive best practices and commonly used criteria. Seventeen publications were reviewed for extraction, liquid chromatography and mass spectrometry parameters, and more specifically for all SWATH applicable characteristics including spray voltages, collision energies and spreads, mass error, isotopic ratio difference, retention time error, and library score thresholds. Notwithstanding the challenges SWATH implementation faces for a laboratory, the technique demonstrates its potential to be utilized in routine forensic toxicology testing regimes and aids in the detection of both common and emerging novel drugs simultaneously.

Comparative review of vasectomy guidelines and novel vasal occlusion techniques.

Vasectomy is the most commonly performed urologic procedure in the United States and is a highly effective form of male contraception. The introduction of guidelines by urological societies has standardized vasectomy care. Providers should be awadre of the rationale behind these guidelines, as well as key differences among them. While few major changes to vasectomy technique have been adopted over the past 40 years, new, reversible vasal occlusive technologies may affect delivery of male contraceptive care in the future. Here, we perform a comparative review of vasectomy guidelines from six urological societies worldwide. In addition, we report on the status of several experimental vasal occlusion methods that may be available in the next decade.

The Polyanalgesic Consensus Conference (PACC)®: Intrathecal Drug Delivery Guidance on Safety and Therapy Optimization When Treating Chronic Noncancer Pain.

INTRODUCTION: The International Neuromodulation Society convened a multispecialty group of physicians and scientists based on expertise with international representation to establish evidence-based guidance on intrathecal drug delivery in treating chronic pain. This Polyanalgesic Consensus Conference (PACC)® project, created more than two decades ago, intends to provide evidence-based guidance for important safety and efficacy issues surrounding intrathecal drug delivery and its impact on the practice of neuromodulation. MATERIALS AND METHODS: Authors were chosen on the basis of their clinical expertise, familiarity with the peer-reviewed literature, research productivity, and contributions to the neuromodulation literature. Section leaders supervised literature searches of MEDLINE, BioMed Central, Current Contents Connect, Embase, International Pharmaceutical Abstracts, Web of Science, Google Scholar, and PubMed from 2017 (when PACC® last published guidelines) to the present. Identified studies were graded using the United States Preventive Services Task Force criteria for evidence and certainty of net benefit. Recommendations are based on the strength of evidence or consensus when evidence is scant. RESULTS: The PACC® examined the published literature and established evidence- and consensus-based recommendations to guide best practices. Additional guidance will occur as new evidence is developed in future iterations of this process. CONCLUSIONS: The PACC® recommends best practices regarding intrathecal drug delivery to improve safety and efficacy. The evidence- and consensus-based recommendations should be used as a guide to assist decision-making when clinically appropriate.

When Infections Are Found: A Qualitative Study Characterizing Best Management Practices for Central Line-Associated Bloodstream Infection and Catheter-Associated Urinary Tract Infection Performance Monitoring and Feedback.

Healthcare-associated infections (HAIs) remain a significant patient safety problem that can lead to illness and death, despite the implementation of clinical bundles to prevent HAIs. Management practices can support HAI prevention, but their role in HAI performance monitoring and feedback is not well understood. To address this knowledge gap, we previously conducted semi-structured interviews with staff at 18 hospitals to examine the role of management practices around the prevention of central line-associated bloodstream infections (CLABSIs) and catheter-associated urinary tract infections (CAUTIs). Interview transcripts were analyzed to identify themes related to HAI performance monitoring and feedback. The current analysis focuses on 10 higher-performing hospitals that were successful in preventing CLABSIs and CAUTIs. These institutions had robust practices including timely event analysis, leadership engagement, and multidisciplinary participation in HAI reviews. Across these sites, we found common goals including investigating HAIs without blame and identifying opportunities for improvement. Management practices such as timely analysis of HAIs, collaboration between facility leadership and multidisciplinary team members, and a focus on identifying the failure of a procedure or protocol, rather than the failure of staff members, are all approaches that can support infection prevention efforts. These management practices may be especially important as hospitals attempt to address increases in CLABSI and CAUTI rates that may have occurred during the coronavirus pandemic.

Consistent scholarship standards among DNP-prepared faculty needed: Actionable insights.

DNP-prepared faculty report challenges and barriers to achieving success in academic roles when criteria for promotion includes scholarship. The purpose of this evidence-based initiative was to explore thoughtful scholarship standards for DNP-prepared faculty which can be adapted and transferred across academic institutions with the goal of elevating faculty scholarship. Given a paucity of available research evidence, a review and synthesis of non-research evidence was conducted. DNP scholarship standards from high-ranking intuitions were critically appraised, and this evidence, along with the diverse and collective expertise of the authors, was translated into recommendations for an inclusive model of rigor for DNP-prepared faculty scholarship. A template for appraising the scholarship of DNP-prepared faculty based on strategic evaluation of impact is included. Academic institutions may use this work to expand the fundamental level of evolving scholarship, determine parameters, and provide clarity and support to DNP-prepared faculty as they seek to progress in rank.

Redefining 'state-of-the-art' for integrated population models with immigration.

Research Highlight: Christian, M., Oosthuizen, W. C., Bester, M. N., & de Bruyn, P. N. (2024). Robustly estimating the demographic contribution of immigration: Simulation, sensitivity analysis and seals. Journal of Animal Ecology. https://doi.org/10.1111/1365-2656.14053. Immigration can have profound consequences for local population dynamics and demography, but collecting data to accurately quantifying it is challenging. The recent rise of integrated population models (IPMs) offers an alternative by making it possible to estimate immigration without the need for explicit data, and to quantify its contribution to population dynamics through transient Life Table Response Experiments (tLTREs). Simulation studies have, however, highlighted that this approach can be prone to bias and overestimation. In their new study, Christian et al. address one of the root causes of this issue by improving the estimation of time variation in vital rates and immigration using Gaussian processes in lieu of traditionally used temporal random effects. They demonstrate that IPM-tLTRE frameworks with Gaussian processes produce more accurate and less biased estimates of immigration and its contribution to population dynamics and illustrate the applicability of this approach using a long-term data set on elephant seals (Mirounga leonida). Results are validated with a simulation study and suggest that immigration of breeding females has been central for population recovery of elephant seals despite the species' high female site fidelity. Christian et al. thus present new insights into population regulation of long-lived marine mammals and highlight the potential for using Gaussian process priors in IPMs. They also illustrate a suite of 'best practices' for state-of-the-art IPM-tLTRE analyses and provide an inspirational example for the kind of ecological modelling workflow that can be invaluable not just as a starting point for fellow ecologists picking up or improving their own IPM-tLTRE analyses, but also for teaching and in contexts where model estimates are used for informing management and conservation decision-making.

Critical assessment of variant prioritization methods for rare disease diagnosis within the rare genomes project.

BACKGROUND: A major obstacle faced by families with rare diseases is obtaining a genetic diagnosis. The average "diagnostic odyssey" lasts over five years and causal variants are identified in under 50%, even when capturing variants genome-wide. To aid in the interpretation and prioritization of the vast number of variants detected, computational methods are proliferating. Knowing which tools are most effective remains unclear. To evaluate the performance of computational methods, and to encourage innovation in method development, we designed a Critical Assessment of Genome Interpretation (CAGI) community challenge to place variant prioritization models head-to-head in a real-life clinical diagnostic setting. METHODS: We utilized genome sequencing (GS) data from families sequenced in the Rare Genomes Project (RGP), a direct-to-participant research study on the utility of GS for rare disease diagnosis and gene discovery. Challenge predictors were provided with a dataset of variant calls and phenotype terms from 175 RGP individuals (65 families), including 35 solved training set families with causal variants specified, and 30 unlabeled test set families (14 solved, 16 unsolved). We tasked teams to identify causal variants in as many families as possible. Predictors submitted variant predictions with estimated probability of causal relationship (EPCR) values. Model performance was determined by two metrics, a weighted score based on the rank position of causal variants, and the maximum F-measure, based on precision and recall of causal variants across all EPCR values. RESULTS: Sixteen teams submitted predictions from 52 models, some with manual review incorporated. Top performers recalled causal variants in up to 13 of 14 solved families within the top 5 ranked variants. Newly discovered diagnostic variants were returned to two previously unsolved families following confirmatory RNA sequencing, and two novel disease gene candidates were entered into Matchmaker Exchange. In one example, RNA sequencing demonstrated aberrant splicing due to a deep intronic indel in ASNS, identified in trans with a frameshift variant in an unsolved proband with phenotypes consistent with asparagine synthetase deficiency. CONCLUSIONS: Model methodology and performance was highly variable. Models weighing call quality, allele frequency, predicted deleteriousness, segregation, and phenotype were effective in identifying causal variants, and models open to phenotype expansion and non-coding variants were able to capture more difficult diagnoses and discover new diagnoses. Overall, computational models can significantly aid variant prioritization. For use in diagnostics, detailed review and conservative assessment of prioritized variants against established criteria is needed.

Creating and troubleshooting microscopy analysis workflows: common challenges and common solutions.

As microscopy diversifies and becomes ever-more complex, the problem of quantification of microscopy images has emerged as a major roadblock for many researchers. All researchers must face certainchallenges in turning microscopy images into answers, independent of their scientific question and the images they've generated. Challenges may arise at many stages throughout the analysis process, including handling of the image files, image pre-processing, object finding, or measurement, and statistical analysis. While the exact solution required for each obstacle will be problem-specific, by understanding tools and tradeoffs, optimizing data quality, breaking workflows and data sets into chunks, talking to experts, and thoroughly documenting what has been done, analysts at any experience level can learn to overcome these challenges and create better and easier image analyses.

Creating and troubleshooting microscopy analysis workflows: Common challenges and common solutions.

As microscopy diversifies and becomes ever more complex, the problem of quantification of microscopy images has emerged as a major roadblock for many researchers. All researchers must face certain challenges in turning microscopy images into answers, independent of their scientific question and the images they have generated. Challenges may arise at many stages throughout the analysis process, including handling of the image files, image pre-processing, object finding, or measurement, and statistical analysis. While the exact solution required for each obstacle will be problem-specific, by keeping analysis in mind, optimizing data quality, understanding tools and tradeoffs, breaking workflows and data sets into chunks, talking to experts, and thoroughly documenting what has been done, analysts at any experience level can learn to overcome these challenges and create better and easier image analyses.

Exploring the ethical dimensions in forensic entomology: From codes of conduct to professional accountability.

This article investigates a critical part of professional careers: adhering to a code of ethics that defines proper behavior within the context of one's specialized practice. It aims to improve the setting of forensic entomology work by highlighting the ethical issues that frequently emerge. The primary goal is to uncover common ethical issues involved in this field's everyday activities and provide informed advice on appropriate resolution options. This investigation dives into the complex interaction of religious beliefs, cultural aspects, and issues of ethics, evaluating their relevance in forensic entomology. It examines a wide range of ethical issues, from the ethics involved in collecting samples at crime scenes and morguesto the ethics created into scientific investigations, report writing, and court testimony. These guiding principles are critical in setting scientific standards and building public trust in forensic entomology's ability to provide exceptional services. Notably, regardless of whether the forensic entomology service provider is accredited by any validating organization, these ethical requirements remain critical, emphasizing their global application.

Perspective: use and reuse of NMR-based metabolomics data: what works and what remains challenging.

BACKGROUND: The National Cancer Institute issued a Request for Information (RFI; NOT-CA-23-007) in October 2022, soliciting input on using and reusing metabolomics data. This RFI aimed to gather input on best practices for metabolomics data storage, management, and use/reuse. AIM OF REVIEW: The nuclear magnetic resonance (NMR) Interest Group within the Metabolomics Association of North America (MANA) prepared a set of recommendations regarding the deposition, archiving, use, and reuse of NMR-based and, to a lesser extent, mass spectrometry (MS)-based metabolomics datasets. These recommendations were built on the collective experiences of metabolomics researchers within MANA who are generating, handling, and analyzing diverse metabolomics datasets spanning experimental (sample handling and preparation, NMR/MS metabolomics data acquisition, processing, and spectral analyses) to computational (automation of spectral processing, univariate and multivariate statistical analysis, metabolite prediction and identification, multi-omics data integration, etc.) studies. KEY SCIENTIFIC CONCEPTS OF REVIEW: We provide a synopsis of our collective view regarding the use and reuse of metabolomics data and articulate several recommendations regarding best practices, which are aimed at encouraging researchers to strengthen efforts toward maximizing the utility of metabolomics data, multi-omics data integration, and enhancing the overall scientific impact of metabolomics studies.