Correlation 분석 기법을 적용한 요통 환자에 관한 레지스트리 데이터의 탐색적 분석 (The Exploratory Analysis on the Registry Data of Patients with Low Back Pain Applying Correlation Analysis Method)

ObjectivesThe aim of this study is to analyze the patients who have low back pain through registry.MethodsWe registered patients with low back pain who visited department of korean rehabilitation medicine in university hospitals on study. We collected data from 116 sub-jects consisted of 51 inpatients and 65 outpatients and ruled out 8 who didn’t have pattern identification data at the point of inpatient or outpatient visit so we analyzed 108 in total. We used Pearson’s product moment correlation to find correlationship among variables, and analyzed statistical data using Phyton scipy library stats package.ResultsWe set general features, region of the pain, physical examination, ROM, ques-tionnaire results, pattern identification as variables and draw a conclusion by analyzing these variables.ConclusionsRegistry aimed at low back pain patients was established in department of korean rehabilitation medicine of university hospitals and exploratory analysis based on da-ta were made. Through the registry, we expect that more advanced studies will be per-formed; for example, executing research which verifies effectiveness and stability of korean medical treatment or developing tools to fill the gap between pattern identification and dis-ease identification. (J Korean Med Rehabil 2017;27(4):97-109)

ObjectivesThe aim of this study is to analyze the patients who have low back pain through registry.MethodsWe registered patients with low back pain who visited department of korean rehabilitation medicine in university hospitals on study. We collected data from 116 sub-jects consisted of 51 inpatients and 65 outpatients and ruled out 8 who didn’t have pattern identification data at the point of inpatient or outpatient visit so we analyzed 108 in total. We used Pearson’s product moment correlation to find correlationship among variables, and analyzed statistical data using Phyton scipy library stats package.ResultsWe set general features, region of the pain, physical examination, ROM, ques-tionnaire results, pattern identification as variables and draw a conclusion by analyzing these variables.ConclusionsRegistry aimed at low back pain patients was established in department of korean rehabilitation medicine of university hospitals and exploratory analysis based on da-ta were made. Through the registry, we expect that more advanced studies will be per-formed; for example, executing research which verifies effectiveness and stability of korean medical treatment or developing tools to fill the gap between pattern identification and dis-ease identification. (J Korean Med Rehabil 2017;27(4):97-109)