本文選題：醫(yī)院感染 + 風(fēng)險(xiǎn)評(píng)估�。� 參考：《中華醫(yī)院感染學(xué)雜志》2015年12期

【摘要】：目的探討建立住院患者醫(yī)院感染風(fēng)險(xiǎn)評(píng)估機(jī)制,分類落實(shí)預(yù)防控制醫(yī)院感染措施,降低醫(yī)院感染率。方法選取醫(yī)院2010年5月-2013年5月發(fā)生醫(yī)院感染793例為試驗(yàn)組,隨機(jī)抽取未發(fā)生醫(yī)院感染的1 000例為對(duì)照組,分別對(duì)兩組患者的年齡、病情、住院天數(shù)、侵入性操作、抗菌藥物使用等危險(xiǎn)因素進(jìn)行統(tǒng)計(jì)分析,構(gòu)建logistic回歸模型,估計(jì)參數(shù),標(biāo)準(zhǔn)化各影響因素系數(shù),計(jì)算出分值及風(fēng)險(xiǎn)級(jí)別。結(jié)果根據(jù)統(tǒng)計(jì)變量結(jié)果并結(jié)合醫(yī)院感染管理日常監(jiān)測(cè)指標(biāo),遴選出疾病診斷、基礎(chǔ)疾病、導(dǎo)管植入、呼吸機(jī)使用、手術(shù)類型及時(shí)間、麻醉類型、有無植入物、放化療、糖皮質(zhì)激素使用、抗菌藥物使用、住院時(shí)間等13個(gè)影響因素作為評(píng)估指標(biāo);通過構(gòu)建logistic回歸模型,評(píng)價(jià)模型效果:靈敏度83.6%,特異度76.2%;計(jì)算出各評(píng)估指標(biāo)分值,≥5分為高危人群;建立醫(yī)院感染風(fēng)險(xiǎn)評(píng)估表。結(jié)論建立住院患者醫(yī)院感染風(fēng)險(xiǎn)評(píng)估表,通過對(duì)住院患者的有效評(píng)估,分類預(yù)防控制醫(yī)院感染,對(duì)高�；颊咛崆案深A(yù)預(yù)防控制,可預(yù)期達(dá)到降低醫(yī)院感染率。
[Abstract]:Objective to establish a risk assessment mechanism for nosocomial infection of inpatients and to carry out the measures to prevent and control nosocomial infection and reduce the nosocomial infection rate. Methods A total of 793 patients with nosocomial infection from May 2010 to May 2013 were selected as experimental group, and 1 000 cases of nosocomial infection were randomly selected as control group. The risk factors such as antimicrobial use were statistically analyzed, logistic regression model was constructed, parameters were estimated, factors were standardized, scores and risk levels were calculated. Results according to the results of statistical variables and combined with the daily monitoring index of hospital infection management, the diagnosis of diseases, basic diseases, catheter implantation, ventilator use, operation type and time, anesthesia type, whether there were implants, radiotherapy and chemotherapy were selected. Thirteen factors, such as glucocorticoid use, antimicrobial use, hospitalization time, were used as evaluation indexes. By constructing logistic regression model, the effectiveness of the model was evaluated as follows: sensitivity 83.6, specificity 76.2g, score of each evaluation index calculated. 鈮，

本文編號(hào)：1797008