The Effect of Race and Dementia Prevalence on a COVID-19 Infection Control Intervention in Massachusetts Nursing Homes

Background Nursing home (NH) residents, especially those who were Black or with dementia, had the highest infection rates during the COVID-19 pandemic. A 9-week COVID-19 infection control intervention in 360 Massachusetts NHs showed adherence to an infection control checklist with proper personal protective equipment (PPE) use and cohorting was associated with declines in weekly infection rates. NHs were offered weekly webinars, answers to infection control questions, resources to acquire PPE, backup staff, and SARS-CoV-2 testing. We asked whether the effect of this intervention differed by racial and dementia composition of the NHs. Methods Data were obtained from 4 state audits using infection control checklists, weekly infection rates, and Minimum Data Set variables on race and dementia to determine whether adherence to checklist competencies was associated with decline in average weekly rates of new COVID-19 infections. Results Using a mixed-effects hurdle model, adjusted for county COVID-19 prevalence, we found the overall effect of the intervention did not differ by racial composition, but proper cohorting of residents was associated with a greater reduction in infection rates among facilities with ≥20% non-Whites (n = 83). Facilities in the middle (>50%–62%; n = 121) and upper (>62%; n = 115) tertiles of dementia prevalence had the largest reduction in infection rates as checklist scores improved. Cohorting was associated with greater reductions in infection rates among facilities in the middle and upper tertiles of dementia prevalence. Conclusions Adherence to proper infection control procedures, particularly cohorting of residents, can reduce COVID-19 infections, even in facilities with high percentages of high-risk residents (non-White and dementia).

The uptake and use of a minimum data set (MDS) for older people living and dying in care homes: a realist review

Background Care homes provide long term care for older people. Countries with standardised approaches to residents’ assessment, care planning and review (known as minimum data sets (MDS)) use the aggregate data to guide resource allocation, monitor quality, and for research. Less is known about how an MDS affects how staff assess, provide and review residents’ everyday care. The review aimed to develop a theory-driven understanding of how care home staff can effectively implement and use MDS to plan and deliver care for residents. Methods The realist review was organised according to RAMESES (Realist And Meta-narrative Evidence Synthesis: and Evolving Standards) guidelines. There were three overlapping stages: 1) defining the scope of the review and theory development on the use of minimum data set 2) testing and refining candidate programme theories through iterative literature searches and stakeholders’ consultations as well as discussion among the research team; and 3) data synthesis from stages 1 and 2. The following databases were used MEDLINE via OVID, Embase, CINAHL (Cumulative Index to Nursing and Allied Health Literature), ASSIA [Applied Social Sciences Citation Index and Abstracts]) and sources of grey literature. Results Fifty-one papers informed the development of three key interlinked theoretical propositions: motivation (mandates and incentives for Minimum Data Set completion); frontline staff monitoring (when Minimum Data Set completion is built into the working practices of the care home); and embedded recording systems (Minimum Data Set recording system is integral to collecting residents’ data). By valuing the contributions of staff and building on existing ways of working, the uptake and use of an MDS could enable all staff to learn with and from each other about what is important for residents’ care Conclusions Minimum Data Sets provides commissioners service providers and researchers with standardised information useful for commissioning planning and analysis. For it to be equally useful for care home staff it requires key activities that address the staff experiences of care, their work with others and the use of digital technology. Registration PROSPERO registration number CRD42020171323.

DUS(Soil)—A Framework for Developing a Minimum Data Set of Soil Health Indicators and Management Guidelines for Farmers

Soil health information is still not widely used in decision making in agriculture. One of the reasons is the lack of a simple and effective method for selection of soil health indicators that have direct relevance to management decisions. A framework for soil health indicators selection and developing location-specific management practices that improve soil health are presented. The framework involves selection of a minimum data set of soil health indicators based on ‘DUS(Soil)’ criteria. In this framework ‘D’ represents Distinctness (indicators representing distinct functional soil processes), ‘U’ represents Utility (amenability for amelioration of the status of the indicator or altering its impact through management practices) and ‘S’ represents Simplicity (amenability for measurement in the field/small laboratories using simple protocols). This study also outlines a method for developing management guidelines for farmers based on the status of the selected soil health indicators. This involved classifying the status of each of the indicators into three classes. Thereafter, taking cognizance of the agroecological context, suitable field management schedules were developed for each class of the indicators, based on literature and local expert knowledge. The use of this framework was demonstrated by developing management guidelines for a coarse textured soil with optimum pH, low soil carbon, poor in water stable aggregates (highly slaking), optimum porosity and poor in soil macro fauna in Mandla district, Madhya Pradesh, India. The study showed that the framework is flexible, generic as well as simple and is useful to develop site-specific management guidelines logically, to overcome the soil quality constraints.

Gathering Global Perspectives to Establish the Research Priorities and Minimum Data Sets for Degenerative Cervical Myelopathy: Sampling Strategy of the First Round Consensus Surveys of AO Spine RECODE-DCM

Study Design Survey. Introduction AO Spine Research Objectives and Common Data Elements for Degenerative Cervical Myelopathy (RECODE-DCM) is an international initiative that aims to accelerate knowledge discovery and improve outcomes by developing a consensus framework for research. This includes defining the top research priorities, an index term and a minimum data set (core outcome set and core data elements set – core outcome set (COS)/core data elements (CDE)). Objective To describe how perspectives were gathered and report the detailed sampling characteristics. Methods A two-stage, electronic survey was used to gather and seek initial consensus. Perspectives were sought from spinal surgeons, other healthcare professionals and people with degenerative cervical myelopathy (DCM). Participants were allocated to one of two parallel streams: (1) priority setting or (2) minimum dataset. An email campaign was developed to advertise the survey to relevant global stakeholder individuals and organisations. People with DCM were recruited using the international DCM charity Myelopathy.org and its social media channels. A network of global partners was recruited to act as project ambassadors. Data from Google Analytics, MailChimp and Calibrum helped optimise survey dissemination. Results Survey engagement was high amongst the three stakeholder groups: 208 people with DCM, 389 spinal surgeons and 157 other healthcare professionals. Individuals from 76 different countries participated; the United States, United Kingdom and Canada were the most common countries of participants. Conclusion AO Spine RECODE-DCM recruited a diverse and sufficient number of participants for an international PSP and COS/CDE process. Whilst PSP and COS/CDE have been undertaken in other fields, to our knowledge, this is the first time they have been combined in one process.

Minimum data and core outcomes for subacute rehabilitation: A scoping review

Objective In clinical practice and research, standardised sets of data and outcomes are routinely collected to facilitate data comparison, benchmarking and quality improvement. Most existing data sets are condition-specific and cannot be applied to all patients in a given clinical setting. This review aimed to determine whether the development of a minimum data set for subacute rehabilitation is feasible by collating and comparing existing rehabilitation minimum data sets and core outcome sets. Data sources Published literature was identified through database searches (Scopus, PubMed, EMBASE, CINAHL and the COMET Initiative) in September 2021. Additional data sets were identified through a grey literature search. Review methods This review was conducted in alignment with the PRISMA-ScR recommendations. Datasets were included if they were published in English, designed for adults, and intended for use in subacute rehabilitation. Data were extracted and taxonomically organised to identify commonalities. Items present in ≥50% of data sets were considered common. Results Twenty minimum data sets and seven core outcome sets were included. There were 29 common minimum data set domains, with 19 relating to Patient Information, seven relating to Outcomes, two relating to Service Delivery and one relating to Provider Demographics. Four common domains were identified within the Core Outcome Set analysis, which all related to Life Impact, specifically Physical Functioning (86%) , Emotional Functioning/Wellbeing (57%) , Social Functioning (86%) and Global Quality of Life (100%). Conclusion Common item domains in conditions requiring subacute rehabilitation have been identified, suggesting that development of a dataset for subacute rehabilitation may be feasible.

Basic Swimming Style Crawl Engineering Skills Survey in Athletes Ages 10-12

This study aims to: 1.To know the basic technique skills of crawl style swimming in the Kebumen swimming club association students. 2. Knowing the factors of difficulty experienced by students in learning the basic motion skills of crawl style swimming 3. Students are able to apply the basic movements of swimming with the right steps. This research was conducted on the students of the Kebumen swimming club association in Gossi Kebumen. The research plan is carried out in November 2021. The sample referred to in this study is 20 students in the 10-12 year age group who take part in basic swimming skills training. Descriptive data analysis was entered to get an overview of the data including the average, standard deviation, maximum data, minimum data, range, frequency table and graphs. Based on the results of the research that has been carried out, it can be concluded: 1. Freestyle swimming skills measured using a stopwatch on students aged 10-12 years at the swimming club association in Kebumen showed that 50% of students had very poor swimming skills, 25% students have poor swimming skills and 25% of students have sufficient skills. 2. The category of skills that dominates the most in students is very low ability. Contributing to further research is to conduct research on more intense exercises on crawl swimming style techniques need to be done by athletes and also strategies to improve the ability of athletes in crawl style swimming.Keywords: Swimming, Crawl Style, Basic Swimming Technique

Data Shepherding in Nanotechnology: An Antimicrobial Functionality Data Capture Template

In this paper, we exhibit how to construct a template for capturing antimicrobial capacity data of nanomaterials or nanoenabled products. The template promotes the principles of making data scientifically findable, accessible, interoperable and reusable (FAIR), encouraging scientists to reuse it. The template construction roadmap entails the following steps: (1) recognize appropriate stakeholders, (2) allocate surveys to collect a general explanation of the data that will be created, (3) comprehend each stakeholder’s requirements, (4) cooperating and using straightforward communication with the participants for the selection of the minimum data requirement reporting and (5) template layout and ontological annotation. We provide an annotated template for capturing antimicrobial data, increasing their interoperability while populating it with real measurements as an example. By applying the roadmap or by utilizing the template portrayed herein, in the case of a safe-by-design nanoproject (Anticipating Safety Issues at the Design of Nano Product Development (ASINA)), data creators of antimicrobial assessments can store the data using the FAIR approach. Furthermore, data shepherds and scientists can skip the lengthy template generation process and speed up the community’s progress on the FAIR route.

OP248 A Minimum Data-Set For Left Ventricular Assist Device On Destination Therapy: Cross-Border Collaboration Pilot On Real World Data

IntroductionThe European Health Technology Assessment Network (EUnetHTA) Work Package 5B1, is focused on testing the levels of cross-border collaboration on real world data for supporting reimbursement/pricing decision-making. Within this Work Package, we are conducting a pilot on Left Ventricular Assist Device on destination therapy in collaboration with the National Institute for Health and Care Excellence (NICE, UK), the Belgian Health Care Knowledge Centre (KCE, Belgium) and the Italian National Agency for Regional Health Services (AGENAS, Italy). This pilot aims to define the minimum data set for gathering and sharing high quality registry data on key uncertainties found at the time of the health technology assessment (HTA). Furthermore, the pilot will assess the feasibility of carrying out a common analysis or reusing this data for National or Joint Reassessments.MethodsEvidence gaps were based on the four national assessments. Collaborating partners were responsible for agreeing on the key outcomes and proposing the minimum dataset to be registered. European clinical experts and patients rated and prioritized the dataset using a two round Delphi technique (not relevant, important but not critical; critical). The dataset will confirm the basis for the Spanish LVAD registry, implemented at the national health service level to inform inclusion into the healthcare portfolio.ResultsThe key outcomes agreed upon by agencies relate to safety, effectiveness, satisfaction and acceptability of the patient and cost-effectiveness, budget impact and organizational impact. Expert cardiologists and cardiac surgeons representing the European and Spanish Society, among others, participated in the prioritization of basic data. The final dataset is expected by December 2020.ConclusionsThe variation in the quality and definition of outcome measures for measuring key evidence gaps reduces the utility of registries for HTA, making it difficult to compare, link, and aggregate data across countries. The EUnetHTA pilot is intended to offer a model for cross-border collaboration on real world data for supporting the decision-making process for pricing and reimbursement.