Exploring Perspectives on Stroke Standard Set Data Collection: A Qualitative Descriptive Study

数据收集 SSS公司* 描述性统计 冲程(发动机) 医学 定性研究 护理部 定性性质 医疗保健 最小数据集 集合(抽象数据类型) 心理学 家庭医学 计算机科学 机械工程 社会科学 统计 数学 机器学习 社会学 疗养院 内科学 工程类 经济 程序设计语言 经济增长
作者
Amanda McIntyre,Ovesiri Fueta,Shannon Janzen,A. Smith,Matthew J. Meyer
出处
期刊:Journal of Neuroscience Nursing [Lippincott Williams & Wilkins]
卷期号:56 (6): 219-223 被引量:1
标识
DOI:10.1097/jnn.0000000000000791
摘要

ABSTRACT BACKGROUND: The International Consortium on Health Outcome Measurement developed a standard set for stroke (SSS) that includes patient-reported outcome measures to help capture patients' perspectives on their poststroke recovery. The objective of this study was to explore the experiences and perspectives of individuals who collected SSS data from patients who were admitted to hospital for a stroke. METHODS: A qualitative descriptive approach was taken. Semistructured, audio-recorded interviews were conducted with individuals employed at 2 acute neurological inpatient units in Southwestern Ontario, Canada. Interviews were transcribed verbatim and written text responses were analyzed directly. Transcripts were coded line by line and then organized into 5 overarching themes: adoption, acceptance, appropriateness, feasibility, and sustainability. RESULTS: Six interviews were conducted with participants from varying roles (eg, nurses, manager, web developer, social worker, medical clerk). Participants reported that patients were receptive to completing the SSS. Follow-up phone calls provided a significant opportunity to monitor patients' recovery postdischarge. Many patients requested medical guidance and help navigating health and social resources for unmet stroke-related needs. Barriers to consistent SSS assessment included high employee turnover and lack of time, space, or capacity for follow-up. To sustain data collection, a dedicated, financially supported neurological nursing role was suggested. CONCLUSION: Participants were supportive of SSS data collection that could provide monitoring, oversight, and follow-up of stroke patients after discharge from acute care. However, the utility of the dataset is heavily dependent on having the data collection process properly resourced.
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