Research on missed nursing care during the COVID-19 pandemic: A scoping review.

BACKGROUND: Missed nursing care is defined as care that is delayed, partially completed, or not completed at all. The scenario created by the COVID-19 pandemic may have influenced multifactorial determinants related to the care environment, nursing processes, internal processes, and decision-making processes, increasing missed nursing care. AIM: This scoping review aimed to establish the quantity and type of research undertaken on missed nursing care during the COVID-19 pandemic. METHODS: This review was conducted following the Joanna Briggs Institute methodology for scoping reviews. We searched CINAHL, MEDLINE, Scopus, two national and regional databases, two dissertations and theses databases, a gray literature database, two study registers, and a search engine from November 1, 2019, to March 23, 2023. We included quantitative, qualitative, and mixed studies carried out in all healthcare settings that examined missed nursing care during the COVID-19 pandemic. Language restrictions were not applied. Two independent reviewers conducted study selection and data extraction. Disagreements between the reviewers were resolved through discussion or with an additional reviewer. RESULTS: We included 25 studies with different designs, the most common being acute care cross-sectional survey designs. Studies focused on determining the frequency and reasons for missed nursing care and its influence on nurses and organizational outcomes. LINKING EVIDENCE TO ACTION: Missed nursing care studies during the COVID-19 pandemic were essentially nurses-based prevalence surveys. There is an urgent need to advance the design and development of longitudinal and intervention studies, as well as to broaden the focus of research beyond acute care. Further research is needed to determine the impact of missed nursing care on nursing-sensitive outcomes and from the patient's perspective.

miRNA Signature in CSF From Patients With Primary Progressive Multiple Sclerosis.

BACKGROUND AND OBJECTIVES: Primary progressive multiple sclerosis (PPMS) displays a highly variable disease progression with a characteristic accumulation of disability, what makes difficult its diagnosis and efficient treatment. The identification of microRNAs (miRNAs)-based signature for the early detection in biological fluids could reveal promising biomarkers to provide new insights into defining MS clinical subtypes and potential therapeutic strategies. The objective of this cross-sectional study was to describe PPMS miRNA profiles in CSF and serum samples compared with other neurologic disease individuals (OND) and relapsing-remitting MS (RRMS). METHODS: First, a screening stage analyzing multiple miRNAs in few samples using OpenArray plates was performed. Second, individual quantitative polymerase chain reactions (qPCRs) were used to validate specific miRNAs in a greater number of samples. RESULTS: A specific profile of dysregulated circulating miRNAs (let-7b-5p and miR-143-3p) was found downregulated in PPMS CSF samples compared with OND. In addition, in serum samples, miR-20a-5p and miR-320b were dysregulated in PPMS against RRMS and OND, miR-26a-5p and miR-485-3p were downregulated in PPMS vs RRMS, and miR-142-5p was upregulated in RRMS compared with OND. DISCUSSION: We described a 2-miRNA signature in CSF of PPMS individuals and several dysregulated miRNAs in serum from patients with MS, which could be considered valuable candidates to be further studied to unravel their actual role in MS. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that specific miRNA profiles accurately distinguish PPMS from RRMS and other neurologic disorders.

Multiple sclerosis disease-related knowledge measurement instruments show mixed performance: a systematic review.

OBJECTIVES: This review aimed to summarize the evidence on the measurement properties of available disease-related knowledge measurement instruments in people with multiple sclerosis. STUDY DESIGN AND SETTING: We performed a literature search in the MEDLINE (PubMed), CINAHL (EBSCOhost), and PsycINFO (EBSCOhost) databases from inception to February 10, 2021. Eligible studies were reports developing a disease-related knowledge measurement instrument or assessing one or more of its measurement properties. We assessed the methodological quality of the included studies independently using the "COSMIN Risk of Bias" checklist. We graded the quality of the evidence using a GRADE approach. RESULTS: Twenty-four studies provided information on 14 measurement instruments. All instruments showed sufficient evidence for content validity, three for structural validity, and seven for hypothesis testing for construct validity. Cross-cultural validity and criterion validity were not assessed in any instrument. Only two instruments showed sufficient evidence for the internal consistency of their scores, and two others for their test-retest reliability. Responsiveness was assessed in one instrument, but it was rated as indeterminate. CONCLUSION: Based on the available evidence, two instruments can be recommended for use, two are unrecommended, and five have the potential to be recommended for use but require further research.

Assessing the presence of oligoclonal IgM bands as a prognostic biomarker of cognitive decline in the early stages of multiple sclerosis.

BACKGROUND: An association has been found between the presence of lipid-specific oligoclonal IgM bands (LS-OCMB) in cerebrospinal fluid and a more severe clinical multiple sclerosis course. OBJECTIVE: To investigate lipid-specific oligoclonal IgM bands as a prognostic biomarker of cognitive impairment in the early stages of multiple sclerosis. METHODS: Forty-four patients underwent neuropsychological assessment at baseline and 4 years. Cognitive performance at follow-up was compared adjusting by age, education, anxiety-depression, and baseline performance. RESULTS: LS-OCMB+ patients only performed worse for Long-Term Storage in the Selective Reminding Test (p = .018). CONCLUSION: There are no remarkable cognitive differences between LS-OCMB- and LS-OCMB+ patients in the early stages of MS.

Disease-related knowledge measurement instruments of people affected by multiple sclerosis: protocol for a systematic psychometric review.

INTRODUCTION: Disease-related knowledge is a key component of shared decision making and a relevant outcome to measure the effectiveness of information provision interventions. However, no systematic psychometric reviews have been found that assess the measurement instruments aimed at evaluating the disease-related knowledge of people affected by multiple sclerosis. This review aims to systematically assess the quality of the measurement properties of all available disease-related knowledge measurement instruments of people affected by multiple sclerosis. METHODS AND ANALYSIS: A systematic psychometric review will be carried out in accordance with the guidelines proposed by the international 'COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN)' initiative. Studies that meet the following criteria will be selected: (1) those whose aim is to measure disease-related knowledge, (2) those whose study populations are affected by multiple sclerosis and (3) those whose aims are to develop measurement instruments or evaluate one or more of their measurement properties. The information sources will be MEDLINE (via PubMed), CINAHL, PsycINFO and OpenGrey. The methodological quality will be assessed using the 'COSMIN Risk of Bias' checklist. Available evidence will be synthesised and graded using a modified Grading of Recommendations Assessment, Development and Evaluation approach. ETHICS AND DISSEMINATION: As this is a systematic review, no ethics approval is needed. Study findings will be shared with multiple sclerosis patient support groups and in reports to funders. The results will be submitted to a peer-reviewed journal and will be presented at national and international conferences. PROSPERO REGISTRATION NUMBER: CRD42019125417.