基于经验logit变换的急性心肌梗死治疗质量影响因素分析

doi:10.3969/j.issn.1006-5253.2018.06.001

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Abstract Objective The comprehensive score of treatment quality of AMI patients was calculated and empirical Logit transformation was performed. To obtain the factors affecting the quality of treatment, To provide data support for the improvement of treatment quality.Methods The data of AMI patients were collected, the treatment quality of AMI patients was evaluated with 11 indexes, and the comprehensive scores of index utilization rate and treatment quality of patients were calculated. The empirical Logit transformation was carried out for the comprehensive score to obtain the transformation value of the comprehensive score for statistical description. The target variable was taken as the comprehensive score of the empirical Logit transformation, and the linear regression model was used to analyze the influencing factors of treatment quality.Results In this study, 4 137 AMI patients were collected. The highest utilization rate was the use of clopidogrel during hospitalization, and the lowest was the 12-lead ECG before hospitalization. The comprehensive score of the empirical Logit transformation followed the normal distribution. The maximum value of the comprehensive score of the outpatient admission was 0.705 4±0.645 5, and the minimum value of the hospitalization days 7 days and below was 0.194 3±0.605 1. The analysis results of influencing factors of treatment quality showed that the treatment quality was poor in older age, emergency admission, infarction location in the lower wall and multi-wall. The quality of treatment was better in admission during the weekend, increased hospital stay and hospitalization expenses, and fewer complications.Conclusion Linear regression was used to analyze the influencing factors of comprehensive score of treatment quality, the normality of comprehensive score of treatment quality should be considered from the data point of view, and Logit transformation of data is suggested. In order to improve the treatment quality of AMI patients, attention should be paid to patients who are older, hospitalized in emergency, admitted during working days, and have more myocardial infarction sites, more complications and shorter hospitalization time.

Key words： evaluation of treatment quality acute myocardial infarction empirical Logit transformation multiple linear regression model

Received: 10 August 2018

PACS:	R195.1
	R541.4

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	Articles by authors
	Ning Hui
	Wang Chao
	Wang Yun
	Liu Meina

Cite this article:

Ning Hui,Wang Chao,Wang Yun, et al. Analysis of influencing factors on treatment quality of acute myocardial infarction based on empirical logit transformation[J]. journal1, 2018, 25(6): 401-404.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2018.06.001 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2018/V25/I6/401

[1] BLUMENTHAL D. Quality of care: What is it?[J]. American Journal of Ophthalmology, 1996, 122(6):99-101.
[2] MALIN JL, ASCH SM, KERR EA, MCGLYNN EA. Evaluating the quality of cancer care[J]. Cancer, 2000, 88(3):701-707.
[3] DONABEDIAN A. Evaluating the quality of medical care[J]. The Milbank memorial fund quarterly, 1966, 44(3):166-206.
[4] COX DR, SNELL EJ. Analysis of binary data[M].2nd ed. Chapman and Hall, 1989.
[5] ABRAHAM B, NAIR NU. Quality Improvement Through Statistical Methods[J]. Technometrics, 1998, 40(4):358-359.
[6] STEVENS S, VALDERAS JM, DORAN T. Analysing indicators of performance, satisfaction, or safety using empirical logit transformation[J]. Bmj, 2016, 352:i1114.
[7] SUN H, LIU M, HOU S. Quality indicators for acute myocardial infarction care in China[J]. International Journal for Quality in Health Care Journal of the International Society for Quality in Health Care, 2011, 23(4):365-74.
[8] BERKSON J. Maximum Likelihood and Minimum x2 Estimates of the Logistic Function[J]. Publications of the American Statistical Association, 1956, 50(269):130-162.
[9] ANSCOMBE FJ. On Estimating Binomial Response Relations[J]. Biometrika, 1956, 43(3/4):461-464.
[10]肖瑞,李华,席庆.年龄及术前合并症对口腔癌患者术后并发症的影响[J].解放军医学杂志,2015,40(1):56-59.
[11]王莉荔,杜捷夫,陈威.改良早期预警评分与国家早期预警评分对老年急诊患者病情评估的比较[J].中国全科医学,2015(14):1680-1683.
[12]于丽华.急性心肌梗死患者住院费用影响因素分析[J].现代预防医学,2006,33(7):1084-1088.
[13]郭顺萍.临床路径对住院天数和住院费用的影响分析[J].中国病案,2015,16(1):77-79.
[14]林敬德,张晓文,魏以璧.不同人群慢性病住院费及其因素分析[J].中国医院统计,2009,16(01):14-16.
[15]关赟,刘海云,周琰.超长住院日的logistic回归分析[J].中国医院统计,2015,22(01):32-35.
[16]高伟,王士雯,赵玉生.1827例急性心肌梗死患者梗死部位的相关分析[J].中华急诊医学杂志,2004,13(1):41-43.