To provide an overview of three consecutive stages involved in the processing of quantitative research data (ie, data management, analysis, and interpretation) with the aid of practical examples to foster enhanced understanding. Published scientific articles, research textbooks, and expert advice were used. Typically, a considerable amount of numerical research data is collected that require analysis. On entry into a data set, data must be carefully checked for errors and missing values, and then variables must be defined and coded as part of data management. Quantitative data analysis involves the use of statistics. Descriptive statistics help summarize the variables in a data set to show what is typical for a sample. Measures of central tendency (ie, mean, median, mode), measures of spread (standard deviation), and parameter estimation measures (confidence intervals) may be calculated. Inferential statistics aid in testing hypotheses about whether or not a hypothesized effect, relationship, or difference is likely true. Inferential statistical tests produce a value for probability, the P value. The P value informs about whether an effect, relationship, or difference might exist in reality. Crucially, it must be accompanied by a measure of magnitude (effect size) to help interpret how small or large this effect, relationship, or difference is. Effect sizes provide key information for clinical decision-making in health care. Developing capacity in the management, analysis, and interpretation of quantitative research data can have a multifaceted impact in enhancing nurses' confidence in understanding, evaluating, and applying quantitative evidence in cancer nursing practice.

Identifying cancer nursing research priorities is central to influencing the direction of cancer care research. The aim of this rapid review was to explore research priorities identified by oncology nurses for cancer care delivery between 2019 and 2022. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis informed the design of the rapid review. MEDLINE, CINAHL, PUBMED, Web of Science, and Cochrane databases were searched for studies published between December 1st, 2018, and September 30th^, 2022. This timeframe was chosen to account for the latest relevant evidence synthesis, as well as changes in cancer care necessitated by the COVID-19 pandemic. The Quality Assessment of Diverse Studies tool was used to appraise quality. Four studies met the inclusion criteria. Many of the research priorities identified were influenced by the COVID-19 pandemic. The top cancer nursing research priority identified was the role of technology in improving patient and caregiver symptoms and health outcomes. Other most prevalent research priorities were focused on symptom management, culturally sensitive palliative and psychosocial care, early/integrated palliative care, financial toxicity, modifiable risk factors related to social determinants of health, public and patient involvement in research, and oncology nurses' well-being and scope of practice. The findings indicate a need to steer a strategic programme of cancer nursing research towards digitalisation in cancer care to meet the current needs of people living with cancer and their caregivers. However, cancer nurses' burnout, staff shortages and disparities in specialist education will hinder the implementation of certain models of care.

Surgical site infection (SSI) prevention bundles have been used to reduce infection rates in most types of surgery. Bundles tailored to colorectal surgery have been used with success. To identify and review the individual interventions that constitute each SSI prevention care bundle in colorectal surgery, and the reduction in SSI rate associated with their implementation. A scoping review was conducted in PubMed, CINAHL, Web of Science Core Collection and Scopus in December 2022. This review analysed 48 of 164 identified studies on SSI prevention in colorectal surgery from 2011 to 2022. It revealed an average of 11 interventions per study, primarily in the pre-operative [mechanical bowel preparation, oral antibiotic bowel decontamination, hair removal, chlorhexidine gluconate (CHG) shower, normoglycaemia], intra-operative (antibiotic prophylaxis, normothermia, CHG skin preparation, antibiotic prophylaxis re-dosing, gown/glove change) and postoperative (normothermia, normoglycaemia, dressing removal, oxygen optimization, incision cleansing) periods. Despite these interventions, SSI rates remain high, indicating a need for further research to optimize intervention bundles and improve compliance across surgical stages. The implementation of SSI prevention bundles, tailored to colorectal surgery, has shown a reduction in SSI rates and costs. Grouping interventions according to the peri-operative phase may increase compliance.

This article provides practical guidance on developing a comprehensible abstract, including those required for funding applications, conferences, and publication. In addition, we discuss and demonstrate the practicalities of editing and revising an abstract for conference or peer review and identify emerging formats that may be more relevant to nurses and researchers. This article has been informed by literature and the coauthors' respective experiences of preparing and reviewing abstracts for publication and conference presentation. Abstracts are a valuable tool to communicate the most important elements of the methods and results of a research project for a conference, manuscript, or even a research funding application. However, abstracts may often be an overlooked part of the dissemination process. An abstract determines whether or not a piece of research is relevant for presentation at a conference or valuable enough to be considered for peer review and subsequent publication. A strong and clearly written abstract positively predisposes reviewers of grant applications. Writing an abstract is arguably the most challenging component of academic writing, summarizing the results of a substantive research project in three to five sentences and positioning them concisely within the background and implications for future practice, policy, and research. A well-written abstract is clear, concise, and critical and requires time and revision to ensure success.

Purpose: This review aimed to analyze the use of differential validation of nursing diagnosis. Methods: Integrative literature review with search on international databases. The diagnoses, the type of the diagnosis differential validation, the sample, the method, main results, and the limitations were extracted. Ten studies were included. Findings: Differential diagnostic validation publication dates from 1994, and Brazil was the predominant country. Conclusions: This method seems helpful in improving diagnosis accuracy, particularly those related to subjective, behavioral, or complex human responses. Implications for nursing practice: Using this model may facilitate understanding the specificity of nursing diagnosis, which is critical for teaching clinical reasoning and for new opportunities to research.