Conectar
To determine the predictors of pressure injuries among residents living in Sri Lankan nursing homes.
A prospective multi-site longitudinal cohort study design.
Semi-structured observations and chart audits were used to gather data on 17 predictors of pressure injury from a consecutive sample of 210 residents (aged ≥ 60 years old) from nine nursing homes in Sri Lanka. Data were collected at baseline and followed up every week until the study endpoint: a new pressure injury or reaching the maximum 12 weeks of data collection, from July to October 2023. Validated semi-structured data collection forms and chart audits were utilised. Binary logistic regression was used to identify the predictors of pressure injuries. Generalised linear mixed models were used to assess the association between predictors and the development of new pressure injuries.
The cumulative incidence of pressure injuries was 17.1% (36/210) during the 12 weeks. The number of medical devices and baseline pressure injuries predicted the development of new pressure injuries. Each additional medical device increased the likelihood of developing a pressure injury by 2.3-fold, and individuals with a baseline pressure injury were 2.1 times more likely to develop a new pressure injury.
Multiple medical devices and baseline pressure injuries are predictors of pressure injury in older residents living in nursing homes.
This study provides evidence of pressure injury predictors among older residents living in nursing homes. Early identification of high-risk residents with an existing pressure injury and those with multiple medical devices is important for nurses and managers at nursing homes. Accurately assessing residents' risk of a pressure injury may result in implementing various preventive strategies that may ultimately help prevent future pressure injuries.
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) for cohort studies guidelines.
No patient or public contribution.
Food retail outlets in sports and recreation facilities often fail to support healthy eating, despite aligning with healthy lifestyles and goals of local governments (LGs) that often own or manage them. LGs face barriers to implementing facility changes including inadequate staffing, training and incentives. The Promoting CHANGE initiative was co-designed to support LGs in improving and sustaining healthier food and drink offerings in these settings.
A 3-year, type 2 effectiveness-implementation hybrid cluster randomised controlled trial will evaluate the Promoting CHANGE capacity-building and support package in three Intervention and four Control LGs in Victoria, Australia (August 2023–July 2026). The co-designed initiative includes human resource support, training, tools, technical assistance, community-of-practice groups, feedback based on food outlet audit and sales data and small grant incentives. Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) evaluation framework, the trial’s co-primary outcomes are the percentage of least healthiest food and drinks (1) displayed (implementation) and (2) sold weekly (effectiveness). Key secondary outcomes are effectiveness (sales and revenue); facility-level adoption, implementation, maintenance of healthy changes; cost-effectiveness (within-trial modelled economic evaluation). Findings will provide evidence of the initiative’s effectiveness and scalability, informing recommendations for advancing healthier food environments in over 6000 community-based food outlets across 500 Australian LGs, with implications globally.
This study has received approval from the Deakin University Human Research Ethics Committee (reference number HEAG-H 92_2023). The results will be published in scientific peer-reviewed journals along with plain language summaries for participants.
ACTRN12621001120864.
Preventing pressure injuries among nursing home residents is a significant challenge that necessitates understanding the barriers and facilitators from the perspective of staff. This qualitative study aimed to describe these factors within Sri Lankan nursing homes. Semi-structured interviews were conducted with 15 nursing home staff members from nine nursing homes in and near the Colombo district, Sri Lanka. The study was informed by the capability, opportunity, motivation, and behaviour model that guided both data collection and analysis. Data were analysed using content analysis. Using deductive coding based on capability, opportunity, and motivation, followed by inductive analysis, four primary categories emerged: focusing on skincare is foundational for pressure injury prevention, pressure injury knowledge is critical for prevention, pressure injury prevention is a low organisational priority, and overcoming challenges to enact pressure injury prevention. Key facilitators included access to skincare products, maintaining clean and dry skin, recognising risk factors, proactively managing risks, and understanding the broader implications of pressure injuries on residents and their families. Conversely, barriers encompassed limited training, varying staff support, inadequate resources, and the complexities of managing multiple tasks. This research highlights that enhancing knowledge and allocating resources effectively can improve the implementation of pressure injury prevention strategies in Sri Lankan nursing homes.
This paper discusses data errors and offers guidance on data cleaning techniques, with a particular focus on handling missing values and outliers in quantitative datasets.
Methodological discussion.
This paper provides an overview of various techniques for identifying and addressing data anomalies, which can arise from incomplete, noisy, and inconsistent data. These anomalies can significantly affect data quality, leading to biased model parameter estimates and evidence-based decisions. Data cleaning, particularly the appropriate handling of missing values and outliers, is essential to improving data quality before analysis. Data cleaning includes screening for anomalies, diagnosing errors, and applying appropriate corrective measures.
Proper handling of missing values and the identification and correction of outliers are crucial aspects of data cleaning in ensuring data quality and the reliability of statistical analyses. Effective data cleaning enhances the validity and accuracy of research findings for evidence-based decision making that leads to optimal patient outcomes.
The quality of study results depends on how a dataset and its complexities are processed or handled before the analysis. Nursing researchers must use a framework to identify and address important data anomalies and produce reliable results.
This paper describes data cleaning, often overlooked during the data mining process, as a crucial step before conducting data analysis. By addressing missing values and outliers, identifying and fixing data anomalies, and enhancing data quality prior to analysis, data cleaning techniques can produce precise research findings for evidence-based decision making.
In this methodological paper, no new data were generated.
No patient or public contribution.
The National Health Service Cervical Screening Programme (NHSCSP) currently involves a healthcare professional collecting a cervical sample in a healthcare setting. This method of screening has barriers associated with access to screening appointments and the poor acceptability of the speculum examination. Primary screening through HPV testing has led to the development of self-sampling screening methods including vaginal and urine self-sampling, with many UK studies comparing these screening methods with the current NHSCSP. It is not known what features of self-sampling influence individuals’ preferences and cervical screening uptake. To understand these preferences, we plan to undertake a discrete choice experiment (DCE). This protocol aims to describe the steps taken to design the DCE and the proposed approach to fielding the DCE to identify preferences for different sampling approaches in cervical screening.
An online survey comprising a DCE was designed to understand preferences of individuals for self-sampling methods within the NHSCSP. Attributes and levels for the DCE were generated through an iterative process including a literature review of qualitative studies about self-sampling cervical screening methods, input from cervical screening clinical experts and a patient and public involvement group (n=6). A D-efficient design was used to create choice sets for the DCE survey. Regression-based analysis will be used to estimate the impact of each attribute and level on individual choices.
This study has been approved by The University of Manchester Proportionate Research Ethics Committee (2024-20767-37669). The results of the DCE will be submitted for publication in a relevant peer review journal and the results will be presented at national and international conferences.
There are no data associated with this protocol. The data produced by this study and analysis scripts will be made available in a public repository following publication of the study.
Infant feeding practices in the first 2 years of life are linked to long-term weight trajectories. Despite the importance of obesity prevention interventions, there are no randomised controlled trials (RCTs) evaluating early childhood education and care (ECEC) and primary caregiver-targeted interventions on child weight and feeding outcomes.
To assess the efficacy of an 18-month digital health intervention (Tiny Bites) delivered to ECEC services and primary caregivers of children aged 4 to ≤12 months on child age-adjusted and sex-adjusted body mass index-for-age z-score (zBMI) relative to usual care control in the Hunter New England (HNE) region of New South Wales, Australia.
This type 1 hybrid cluster RCT will include up to 60 ECEC services and 540 children/caregiver dyads. The intervention supports ECEC services and caregivers to deliver recommended responsive feeding practices to infants. ECEC services will receive access to an online assessment platform, training and resources, and implementation support. Primary caregivers will receive text messages, monthly e-newsletters, online links and direct communication from ECEC services. We will assess the impact on child zBMI at 18-month follow-up. Secondary outcomes include duration of consuming any breastmilk, child diet and caregiver responsive feeding practices. We will also assess ECEC policy and practice implementation related to targeted feeding practices, programme cost effectiveness, adverse effects and engagement with the programme (ECECs and caregivers). For the primary outcome, between-group differences will be assessed for paired data using two-level hierarchical linear regression models.
Ethics approval has been provided by HNE Human Research Ethics Committee (HREC) (2023/ETH01158), Deakin University (2024-202) and University of Newcastle HREC (R-2024-0039). Trial results will be submitted for publication in peer-reviewed journals, presented at scientific conferences locally and internationally and to relevant practice stakeholders.
ACTRN12624000576527.
Endovascular therapy is the main treatment for chronic limb-threatening ischaemia in the UK. Despite a restenosis risk of 50% over 2 years, reintervention rates are low, potentially resulting in preventable amputations. European guidelines recommend ultrasound surveillance to facilitate early treatment of restenosis. This study will investigate the use of duplex ultrasound after endo revascularisation (DUSTER). The aim is to assess the feasibility, acceptability and impact on clinical decision-making of a 1-year integrated ultrasound surveillance programme after lower limb endovascular therapy.
DUSTER is a mixed-methods study. Phase I is a three-site, feasibility, open-label, randomised controlled trial. The standard of care, the control arm, is standard clinical surveillance by a vascular specialist at 1, 6 and 12 months. The intervention arm will receive integrated ultrasound (ankle-brachial pressure index, toe pressure and duplex) plus standard clinical surveillance. Primary outcomes are rates of attendance and completion of ultrasound surveillance tests, as well as the percentage of participants undergoing reintervention for restenosis. Secondary outcomes are limb salvage, amputation-free survival, reasons for amputation, complications, serious adverse events and mortality.
Phase II comprises independent semistructured interviews with intervention arm participants. The interviews will explore barriers and facilitators to ultrasound surveillance and the effect of ultrasound surveillance on patients’ lives.
Phase III has two separate focus groups for participants and clinical stakeholders to identify which outcomes matter most in any subsequent large-scale effectiveness trials.
This research has been approved by a UK (West Midlands, Black Country) Research Ethics Committee (reference 24/WM/0232) and the Health Research Authority (IRAS 349192). Dissemination of results will be by the DUSTER co-investigators in peer-reviewed journals, to the National Institute for Health and Care Research and to a lay audience via the Mid and South Essex NHS Foundations Trust website.
This study aimed to determine the prevalence of non-communicable diseases (NCDs) among pregnant women in Sri Lanka and examine the association between NCDs and maternal and fetal outcomes.
A hospital-based, descriptive cross-sectional study.
The study was conducted in three tertiary care hospitals in the Western Province and one intermediate obstetrics care facility in the Southern Province of Sri Lanka, encompassing diverse, multiethnic populations, over 3 months.
Data from 1350 pregnant women were collected from discharged bed head tickets of the postnatal obstetric wards using a standardised checklist.
The primary outcomes were the prevalence of NCDs. Secondary outcomes included associations between maternal NCDs and adverse fetal outcomes such as preterm births and neonatal complications.
Among the participants, 68.5% (n=926) had one or more NCDs, with anaemia (37.9%), obesity (18.1%), gestational diabetes mellitus (14.9%) and hypertensive disorders (13.6%) being the most prevalent. Women with NCDs were at significantly higher odds of adverse fetal outcomes, including preterm birth (OR=2.3, 95% CI: 1.5 to 3.4), neonatal sepsis (OR=2.5, 95% CI: 1.5 to 4.04) and hypoglycaemia (OR=3.5, 95% CI: 1.2 to 10.0). Maternal complications, including postpartum haemorrhage (3.3%) and placental abruption (0.7%), were also more frequent in this group.
NCDs are highly prevalent among pregnant women in Sri Lanka and are significantly associated with adverse maternal and fetal outcomes. Enhanced screening and management strategies during antenatal care are essential to mitigate risks and improve health outcomes, aligning with global efforts to reduce maternal and neonatal morbidity and mortality.
FreshRSS 