Vascular access is a potentially fatal vulnerability for hemodialysis patients, and a notable area for improvement for healthcare providers. Hemodialysis central venous catheters (HD-CVC) are associated with increased morbidity and mortality from infectious complications. Clinical practice guidelines on vascular access for hemodialysis and infection control do not provide a standard definition for infection of the HD-CVC exit site. The main aim of this protocol is to establish consensus on the signs and symptoms for preventing CVC exit site infection for patients receiving hemodialysis, based on the opinion of a panel of experts. The secondary study aim is to determine the optimum treatment approach according to the signs and symptoms of infection at the HD-CVC exit site, as prioritized by the panel of experts. For this purpose, a modified ranking-type Delphi technique will be used, with three rounds of evaluation conducted via an online questionnaire: the first two rounds will be used to prioritize, by consensus, the most relevant signs and/or symptoms of infection of the HD-CVC exit site or tunnel. Once this consensus has been achieved, a third round of evaluation will be conducted, asking the participants to ascertain the most appropriate treatment approach. The research team has drawn up a list of signs and symptoms related to infection of the HD-CVC exit site or tunnel, based on the definitions obtained from a previous systematic review. The results of the present study will enable us to design an assessment scale for HD-CVC exit sites, thus facilitating early identification and action if infection occurs. The availability of such an instrument will benefit not only clinical practice, but also research, healthcare education and training programs for professionals in this area.
Aim
To assess the effects of virtual reality (VR) on the depressive state of patients with stroke admitted to neuro-rehabilitation units. Design: Systematic review and meta-analysis protocol.
Methods
Randomized Controlled Trials (RCTs) focusing on the effects of virtual reality on depressive state as a primary outcome will be included. Grey literature and the following databases will be consulted: PubMed, Cinahl, PsycInfo, Scopus, Embase, Cochrane Library and Web of Science. The recently revised Cochrane risk of bias tool will be used to assess the quality of included studies. Data will be extracted and meta-analyses will be performed within the specific condition of the emotional state of stroke patients admitted to neurorehabilitation units. Meta-regression and subgroup analyses will be used to identify effective modes and patterns of therapy delivery. The approach of assessment, development and evaluation of recommendations will be applied to reach a convincing conclusion.
Discussion
An accurate, transparent and standardized review process is expected to provide recommendations on the use of VR technology in the healthcare of stroke patients.
Impact
Emotional difficulties are common after stroke and have an impact on rehabilitation outcome. VR seems to have an important role in the treatment and depression in neurological patients, as it is able to improve levels of well-being, coping strategies and social relationships. The systematic review may contribute to a more convincing and specific conclusion compared to existing studies of this type.
Trial registration
Systematic review registration: CRD42022303968.
IntroductionHaemodialysis patients with central venous catheter (HD-CVC) are at increased risk of exit site infections (ESIs) and catheter-related bloodstream infections, causing an increase of hospitalisation, morbidity and mortality rates. The main aim of the EXITA Study is to develop and validate an instrument for the early detection of HD-CVC ESIs.Methods and analysisEXITA is a multicentre prospective cohort study to validate the proposed instrument with a sample of 457 HD-CVCs: 92 in the ESI group and 365 in the non-ESI group. Sample size was calculated using Epidat V.4.2 software, with 95% and 90% expected sensitivity and specificity, respectively, an ESI incidence around 20% and 5%–10% precision range. During each haemodialysis session, the absence or presence of each item will be assessed by nurses. If any item is present, a microbiological study of pericatheter skin smears and/or exit site exudate will be carried out. HD-CVC ESI will be diagnosed when the pericatheter skin smears and/or exit site exudate culture are positive (≥15 CFU/mL by semiquantitative Maki’s technique or ≥1000 CFU/mL by Cleri’s technique). To validate the scale, a logistic regression analysis will be performed: the β coefficients of each of the signs/symptoms of the scale to be validated will be estimated. We will use logit function and calculate ESI probability=elogit ESI/1+elogit ESI.Ethics and disseminationThe study has been approved by the Research Ethics Committee with Medical Products of Cantabria (approval code 2019.146). We will obtain informed consent from all participants before data collection. We will publish the study results in a peer-reviewed scientific journal.
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