A Scoping Review of Interventions for Stroke-Associated Pneumonia in Patients with Post-Stroke Dysphagia

Summary of the scope of pneumonia interventions associated with patients with swallowing disorder after stroke dataset profileThis dataset is a literature-based and analytical dataset built to underpin the Longitudinal Review of Relevant Pneumonia Interventions in Patients with Swallowing Disorder after Stroke. It is produced following the canonical process of Longitudinal Reviews: first, through computer retrieval.PubMed、Embase、Cochrane Library、Web of Science、 Chinese and English-language databases such as the Chinese Internet of Science and Technology (CNKI), the Wanfang Data Knowledge Service Platform, and the Weipu Chinese Science and Technology Journal Database, searched for the combination of words such as "stroke," "swallowing disorder," "aspirational pneumonia," "related pneumonia" and "interventions" "stroke," "dysphagia," "aspiration pneumonia," "associated pneumonia," "intervention," etc. The retrieval time was limited from January 2013 to December 2023, covering the relevant research results of nearly 10 years. Two researchers then independently screened the literature, first excluding literature that clearly did not meet the inclusion criteria based on title and abstract, and then reading the remaining literature in full. Include original research, systematic reviews, clinical guidelines and other types of literature that focus on pneumonia interventions related to post-stroke swallowing disorder, exclude animal studies, non-intervention studies, and republished literature, and resolve differences during screening through consultation with third-party researchers; The data extraction table was then designed using Excel 2021 software. The information extracted included basic information about the literature (authors, year of publication, country of study), subject characteristics (sample size, patient age, type of stroke and course of disease), and type of intervention (swallowing function training, diet management, Drug intervention, multidisciplinary collaboration, etc.), study outcome indicators (pneumonia incidence, swallowing function score, length of hospital stay, etc.) and use of SPSS 26.0 software to perform descriptive statistical analysis of the quantitative data extracted and use thematic analysis to summarize the core ideas of the qualitative study content.The time frame of the data set is from January 2013 to December 2023, The space covers research data from Asia, Europe, North America, Oceania and other regions, of which China, the United States, Japan and the United Kingdom account for the highest proportion, and the time resolution is annual and the spatial resolution is national / regional. The tabular data contained a total of 218 document records, and the rows in the data table were labeled as unique numbers for each document. The list labels are, in order, "article number," "author," "year of publication," "country of study," "sample size," "type of intervention," "pneumonia incidence (%)," "effectiveness of improved swallowing function (%)," data missing, "explanation of error," etc. Units of measurement involved include number of persons (e.g.), percentage (%), score (score), time (days / months), etc. Data gaps were focused on a portion of the literature that did not report in detail specific values of improvement in swallowing function (32 records), and 17 records that did not explicitly identify the stages of stroke in patients. The lack was due mainly to the fact that some studies did not focus on the detailed disclosure of this category of indicators, which was labelled "unreported" in the dataset and separately classified in subsequent analysis of the literature for the missing data and not included in the core analysis of quantitative statistics.In terms of data errors, some clinical studies may have sampling errors due to small sample sizes (45 papers with sample size < 50), and different studies use scales for evaluation of swallowing function (e.g. the Wastewater Trial,The differences between the standard swallowing function evaluation scale and the pneumonia diagnostic criteria resulted in systematic errors in the horizontal comparison of some of the indicators. The evaluation tools and diagnostic criteria for each study were described in the annotation columns of the dataset for layered correction in subsequent analysis.The dataset contains two core documents: the "Literature Information Sheet on Pneumonia Intervention Research Relevant to Post-Stroke Swallowing Disorder.xlsx," a structured data sheet in Excel format that records quantitative and disaggregated data from 218 included literature on basic information, interventions, outcome indicators, and other interventions. The second is "The qualitative analysis report on pneumonia intervention research related to swallowing disorder after stroke.docx," a text document in Word format, which comprises the core points of the qualitative research on the difficulties of intervention implementation and multidisciplinary collaboration models. Both files are in common format and can be opened through Microsoft Office 2021 and above and WPS Office 2022 and above. There is no need for niche software support. If you need statistical analysis of the data, you can use statistical software such as SPSS 26.0 and R 4.2.0 furtherYeah, well, yeah.