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find Keyword "Influencing factor" 78 results
  • Current status and influencing factors of ventilator-associated pneumonia in comprehensive intensive care unit

    ObjectiveTo analyze the influencing factors of ventilator-associated pneumonia (VAP) in comprehensive intensive care units (ICUs) in a certain district of Shanghai, and to provide evidence for developing targeted measures to prevent and reduce the occurrence of VAP.MethodsThe target surveillance data of 1 567 inpatients with mechanical ventilation over 48 hours in comprehensive ICUs of 5 hospitals in the district from January 2015 to December 2017 were retrospectively analyzed to determine whether VAP occurred. The data were analyzed with SPSS 21.0 software to describe the occurrence of VAP in patients and to screen the influencing factors of VAP.ResultsThere were 133 cases of VAP in the 1 567 patients, with the incidence of 8.49% and the daily incidence of 6.01‰; the incidence of VAP decreased year by year from 2015 to 2017 (χ2trend=11.111, P=0.001). The mortality rate was 12.78% in VAP patients while was 7.25% in non-VAP patients; the difference was significant (χ2=5.223, P=0.022). A total of 203 pathogenic bacteria were detected in patients with VAP, mainly Gram-negative bacteria (153 strains, accounting for 75.37%). The most common pathogen was Pseudomonas aeruginosa. The single factor analysis showed that gender, age, Acute Physiology and Chronic Health Evaluation (APACHE) Ⅱ score, the length of ICU stay, and the length of mechanical ventilation were the influencing factors of VAP (χ2=9.572, 5.237, 34.759, 48.558, 44.960, P<0.05). Multiple logistic regression analysis found that women [odds ratio (OR)=1.608, 95% confidence interval (CI) (1.104, 2.340), P=0.013], APACHE Ⅱ score >15 [OR=4.704, 95%CI (2.655, 8.335), P<0.001], the length of ICU stay >14 days [OR=2.012, 95%CI (1.188, 3.407), P=0.009], and the length of mechanical ventilation >7 days [OR=2.646, 95%CI (1.439, 4.863), P=0.002] were independent risk factors of VAP.ConclusionsNosocomial infection caused by mechanical ventilation in this area has a downward trend, and the mortality rate of patients with VAP is higher. For the patients treated with mechanical ventilation in ICU, we should actively treat the primary disease, shorten the length of ICU stay and the length of mechanical ventilation, and strictly control the indication of withdrawal, thereby reduce the occurrence of VAP.

    Release date:2019-08-15 01:20 Export PDF Favorites Scan
  • Influencing Factors of Hospital Costs of 16866 Cases of Patients with Lung Cancer in Sichuan

    Objective Through the analysis of hospital costs of 16 866 cases of patients with lung cancer in Sichuan Province, in oder to find the main influencing factors of hospital costs of patients with lung cancer, and to provide references for reducing the hospital costs of patients with lung cancer. Methods We selected information of in-patients with lung cancer in 6 hospitals in Sichuan province from January 2008 to December 2011 based on full consideration into the local economic levels geographics distribution of different regions in Sichuan province. Then we extracted baseline data, hospitalization data and costs, and then analysis on relevant influencing factors was performed using single factor analysis of variance and multiple stepwise regression analysis. Results A total of 16 918 cases are chosen, of which, 16 866 were effective for further analysis. The results of statistical analysis showed that, the cost of western medicine accounted for the most of the average of the total hospital costs (50.79%) , followed by the cost of diagnosis and treatment (40.79%). The reuslts of multiple stepwise regression analysis showed that, the top three factors influencing hospital costs most included hospital stay, operation, and regions. Conclusion Facing daily increasing costs of hospital costs of lung cancer, effectively reducing drug expenses of patients could be a breakthrough. We could ultimately reduce the hospital costs of patients with lung cancer as well as the the economic burden of patients and society, by strengthening hospital management, shortening hospital stay, and rationally regulating drug use.

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  • The application value of 6-minute walking test in clinical evaluation of chronic heart failure

    ObjectivesTo analyze the application value of 6-minute walking test (6MWT) in the clinical evaluation of chronic heart failure (CHF).MethodsPubMed, EMbase, The Cochrane Library, CBM, VIP, WanFang Data and CNKI databases were searched online to collect randomized controlled trials (RCTs) of 6-minute walking distance (6MWD) as the CHF evaluation index. Two reviewers independently screened literature, extracted data, and then analyzed data by using SPSS 17.0 statistical software. The 6MWD with symptom, quality of life, exercise tolerance (ETT), left ventricular ejection fraction (LVEF), peak oxygen consumption (pVO2) were analyzed by Kappa consistency test, and the possible influencing factors of 6MWD were analyzed by logistic regression.ResultsA total of 158 RCTs involving 17 853 patients were included. The results of statistical analysis showed that: 6MWD was consistent with the improvement of symptoms, quality of life, ETT, LVEF and pVO2 (Kappa>0.4). Baseline 6MWD (OR=2.91, 95%CI 1.278 to 6.634,P=0.011) and NYHA Ⅲ-Ⅳ ratio (OR=2.59, 95%CI 1.091 to 6.138, P=0.031) were the independent influencing factors for 6MWD improvement separately.ConclusionsThe 6MWT is an objective and reliable indicator of CHF evaluation.

    Release date:2018-09-12 03:22 Export PDF Favorites Scan
  • Influencing factors of postoperative cough after lung resection in patients with lung cancer by video-assisted thoracic surgery: a single centre prospective study

    Objective To explore the factors of postoperative cough in lung cancer patients. Methods Totally 130 lung cancer patients of single medical team (average age of 58.75±9.34 years, 65 males and 65 females), from February 2016 to February 2017 in the Department of Thoracic Surgery of West China Hospital of Sichuan University, were investigated by Mandarin Chinese version of the Leicester Cough Questionnaire (LCQ-MC). We analyzed and calculated the preoperative and postoperative scores of LCQ-MC, Cronbach α and the influencing factor. Results The preoperative score of LCQ-MC's physiological dimension was significantly lower in the postoperative cough group (6.30±0.76) than that of the postoperative non-cough group (6.56±0.60,P=0.044), while the preoperative total score of LCQ-MC (19.53±1.78, 20.03±1.45) was not statistically different (P=0.080). The postoperative score of LCQ-MC was significantly lower in the postoperative cough group (17.32±2.79) than that of the postoperative non-cough group (19.70±1.39,P<0.001). And the scores of physiological, psychological and social dimension were significantly lower in the postoperative cough group (5.32 ±1.14, 5.73±1.14, 6.23±0.89) than those of the postoperative non-cough group (6.25±0.63, 6.67±0.54, 6.78±0.49) (P values were all less than 0.001). The result of multi-factor logistic regression analysis showed the condition of preoperative cough symptom (OR=0.354, 95%CI=0.126–0.994, P=0.049) and anesthesia time (OR=1.021, 95% CI=1.003–1.040, P=0.021) were the risk factors. Conclusion The risk factors of postoperative cough symptoms in lung cancer patients are the condition of preoperative cough symptoms and anesthesia time.

    Release date:2017-09-26 03:48 Export PDF Favorites Scan
  • Prevalence and associated factors of diabetic retinopathy among diabetic residents in Longyan of Fujian Province

    ObjectiveTo investigate the prevalence and associated factors of diabetic retinopathy (DR) among diabetic residents in Longyan of Fujian Province. MethodsA investigative research. From January 2022 to December 2023, a total of 10 061 diabetic patients enrolled in the chronic disease follow-up management system from 112 towns and sub-districts in 7 counties and districts of Longyan of Fujian Province were selected as the target population. A questionnaire survey, routine physical examination, vision test, and non-mydriatic fundus photography were conducted. A total of 762 cases with missing height, weight, blood pressure, fasting plasma glucose (FPG), and diabetes duration, and 507 cases with unclear fundus photography were excluded, resulting in 8 792 cases included in the final statistical analysis. DR diagnosis and classification were based on the 2019 International Clinical Classification of DR. The prevalence of DR was calculated for single-eye or double-eye DR cases as 1 case; the more severe eye was used for DR grading in double-eye DR cases. Statistical analysis was performed by grouping based on the presence or absence of DR and dividing into age groups ≤67 years and >67 years. χ2 test was used to analyze factors associated with prevalence; binary multivariate logistic regression analysis was employed to identify influencing factors of DR. ResultsAmong the 8 792 cases, 888 (10.1%, 888/8 792) were diagnosed with DR (DR group), and 7 904 (89.9%, 7 904/8 792) had no DR (non-DR group). Compared to the non-DR group, the DR group showed significant increases in FPG (Z=−12.448), diabetes duration (Z=−18.936), systolic blood pressure (Z=−4.237), diastolic blood pressure (Z=−2.881), and body mass index (BMI) ≥24 kg/m² (P<0.001). Significant differences were also found between the two groups in hypertension (χ2=11.450), hyperlipidemia (χ2=5.100), kidney disease (χ2=7.039), family history of diabetes (χ2=5.025), and regular medication use (χ2=66.034) (P<0.05). There were 4 688 cases in the ≤67 years group and 4 104 in the >67 years group. In the ≤67 years group, significant differences in DR prevalence were found for FPG levels (χ2=111.754), diabetes duration (χ2=231.658), BMI (χ2=12.404), systolic blood pressure (χ2=17.912), regular medication use (χ2=40.727), hyperlipidemia (χ2=6.816), and hypertension history (χ2=6.775) (P<0.05). In the >67 years group, significant differences in DR prevalence were found for FPG levels (χ2=59.916), diabetes duration (χ2=128.362), systolic blood pressure (χ2=5.183), regular medication use (χ2=22.097), kidney disease (χ2=6.251), and family history of diabetes duration (χ2=4.967) (P<0.05). No significant differences in DR prevalence were found based on sex, education level, smoking history, alcohol consumption, exercise habits, heart disease history, or other family disease history (P>0.05). Logistics regression analysis results show that patients aged >67 years, FPG [odds ratio (OR)=1.074, 95%confidence interval (CI) 1.046-1.102], diabetes duration (OR=1.088, 95%CI 1.071-1.106), systolic blood pressure (OR=1.007, 95%CI 1.001-1.013), and kidney disease (OR=3.617, 95%CI 1.268-10.320) were identified as risk factors for DR (P<0.05). In patients aged ≤67 years, FPG (OR=1.088, 95%CI 1.067-1.110), diabetes duration (OR=1.108, 95%CI 1.091-1.125), and systolic blood pressure (OR=1.008, 95%CI 1.003-1.013) were identified as independent risk factors for DR (P<0.05), while BMI ≥24 kg/m² (OR=0.934, 95%CI 0.908-0.965) was a protective factor for DR (P<0.05). Age, regular medication use, hypertension, and hyperlipidemia were identified as potential confounding factors for DR occurrence. ConclusionsThe prevalence of DR among diabetes patients in Longyan of Fujian Province, is 10.1%. FPG, diabete duration, and systolic blood pressure are independent risk factors for DR, while age, regular medication use, hypertension, and hyperlipidemia are potential confounding factors for DR occurrence.

    Release date:2024-09-20 10:48 Export PDF Favorites Scan
  • Analysis on influencing factors and improving measures of hand hygiene implementation among healthcare workers based on the Grounded Theory

    Objective To explore the influencing factors and improving measures of hand hygiene among healthcare workers. Methods From June to August 2016, several healthcare workers from clinical departments and nosocomial infection control department in Chengdu were selected by purposive sampling method. Data was collected by individual in-depth interviews, and was three-rank coded by Nvivo 8 software based on Grounded Theory. Results After three-rank coding, 6 important influencing factors were generalized which were re-categorized into 3 levels: personal cognition, behavior capacity and social support. At the last, the whole framework of the theory was constructed through core coding. Conclusion In clinical practice, we should take reasonable measures to strengthen the training of hand hygiene, improve the hand hygiene facilities, strengthen supervision and management, and effectively improve the implementation rate of hand hygiene.

    Release date:2017-08-22 11:25 Export PDF Favorites Scan
  • The Status Quo and Influencing Factors Analysis of Maternal Health Services Utilization in Rural Areas of Rongchang County

    Objective To explore maternal health services utilization in rural areas in Rongchang County, and to analyze the influencing factors. Methods Seven hundred pregnant women were enrolled by stratified cluster sampling. The data was analyzed in SAS 8.2. Results Ninety-five percent of pregnant women had an antenatal examination, 69.3% had it for 5 times or more, and 75.4% received checking in the earlier stage of pregnancy; 98.3% were delivered in hospital, 26.3% had postpartum visit 3 times or more, and 16.7% had been systematically managed. The main influencing factors of systematic management rate were family yearly income before pregnancy whether or not the patient participated in the new rural cooperative medical scheme, and the number of pregnancies. Conclusion The maternal systematic management rate in the county has yet to be improved. Health education to improve prenatal care and postnatal visit status should be strengthened, and women should be guided to participate in the new rural cooperative medical scheme.

    Release date:2016-09-07 02:10 Export PDF Favorites Scan
  • Analysis of quality of life and influencing factors in newly diagnosed epilepsy patients with co-morbid anxiety and depression

    ObjectiveTo investigate the status of quality of life and influencing factors among newly diagnosed epilepsy patients with co-morbid anxiety and depression. MethodsA total of 180 newly diagnosed epilepsy patients from June 2022 to December 2022 in a district of Shanghai were selected as the study subjects. The Quality of Life in Epilepsy-31 (QOLIE-31), Hamilton Depression Rating Scale (HAMD-24), Hamilton Anxiety Rating Scale (HAMA), and Epilepsy Self-Management Scale (ESMS) were used to assess patients' quality of life, depression levels, anxiety levels, and self-management abilities, respectively. Patients were divided into the co-morbid depression group (HAMA≥14 and HAMD>17) and the control group (HAMA<14 and HAMD≤17), and their general characteristics and scale scores were compared. Spearman correlation, Pearson correlation, and multiple linear regression analysis were used to identify influencing factors of quality of life in epilepsy patients with co-morbid depression. ResultsCompared to the control group, the anxiety comorbid with depression group of older adults had a higher proportion, higher unemployment rate, lower personal and family annual income in the past year, higher frequency of epileptic seizures, and lower medication adherence (P<0.05). The correlational analysis revealed a negative correlation between the quality of life abilities of epilepsy patients with comorbid anxiety and depression and the severity of anxiety and depression. (r=−0.589, −0.620, P<0.05). The results of multiple linear regression analysis showed that the frequency of seizures in the past year (β=−1.379, P<0.05), severity of anxiety (β=−0.279, P<0.05), and severity of depression (β=−0.361, P<0.05) have an impact on the ability to quality of life in epilepsy patients with co-morbid anxiety and depression. These factors account for 44.1% of the total variability in quality of life (R2=0.4411, P<0.05). ConclusionThe frequency of seizures in the past year, as well as the severity of anxiety and depression, are important factors that influence the ability to quality of life in epilepsy patients with comorbid anxiety and depression. For these patients, it is crucial to take into account these factors and provide appropriate support and interventions.

    Release date:2024-03-07 01:49 Export PDF Favorites Scan
  • Preliminary study in the influencing factors of reproductive function in male patient with epilepsy

    ObjectiveTo analyse baseline information, semen, sex hormones and sexual function to understand the differences between male patient with epilepsy(MPWE) and healthy men. At the same time, we preliminarily evaluated the risk factors related to reproductive function in MPWE to provide clinical method for reducing the risk of infertility.MethodsWe collected data of 112 MPWE in the Department of Neurology, First Affiliated Hospital of Dali University from February 2019 to February 2020. Sixty-seven healthy male volunteers matching the age of the survey group were selected. All men completed semen and sex hormone test. Men with sexual life experience completed the International index of erectile function scale (IIEF-5) and the Premature ejaculation diagnostic tool (PEDT). MPWE completed the Quality of life in epilepsy-1(QOLIE-31). The baseline data, semen quality, sex hormone level and sexual function questionnaire scores of MPWE and healthy controls were compared. In addition, according to the diagnostic criteria of abnormal male reproductive function, MPWE were divided into abnormal group and normal group. Single factor analysis and binary logistic regression analysis were used to preliminarily explore the related risk factors of reproductive function in MPWE.ResultsCompared with the healthy control group, the proportion of married and childbearing, testosterone level, sperm concentration, sperm survival rate and IIEF-5 score in MPWE were significantly reduced (P<0.05). Compared with the normal group, age, body mass index, seizure frequency and drug type in the abnormal group were significant differences statistically (P<0.05). The total score and energy score of QOLIE-31 in the abnormal group were significantly lower than that in the normal group (P<0.05). Binary Logistic regression analysis indicated that energy score [B=−0.033, OR=0.967, 95%CI(0.937, 0.999)], age [B=0.879, OR=2.408, 95%CI (1.070, 5.416)], seizure frequency [B=1.788, OR=5.976, 95% CI (2.031, 17.589)].ConclusionThe reproductive function of MPWE is lower than that in healthy men. The total score, energy score, age, body mass index, seizure frequency and type of drugs will significantly affect the reproductive function of MPWE. Energy score, age and seizure frequency are independent risk factors that affect the reproductive function of MPWE. Abnormal reproductive function of MPWE was positively correlated with age and seizure frequency, but negatively correlated with energy score.

    Release date:2021-02-27 02:57 Export PDF Favorites Scan
  • Knowledge, attitude and practice of hepatitis E among the residents of Anlu City

    ObjectivesTo investigate the knowledge, attitude and practice (KAP) of hepatitis E among Anlu residents and to identify the influencing factors.MethodsA stratified random sampling method was used and 1 840 Anlu residents were recruited between March 2019 and September 2019. Chi-square test and multivariate logistic regression model were used to analyze the influencing factors by SPSS 22.0 software.ResultsThe overall awareness rate of residents was 36.32%. There were statistically significant differences in age, occupation category and education (P<0.05). Qualification rate of awareness increased with age until age 40, but not with age after 40. Individuals occupationally exposed to swines (swine breeders, sales staff, slaughterers) had the lowest rates. Education level was positively associated with the qualification rate of awareness. The overall positive attitude rate was 53.89%. The overall healthy behavior rate was 82.95%.ConclusionsThe overall knowledge and awareness of hepatitis E among Anlu residents is low, especially individuals who have been occupationally exposed to swines. Health education and promotion programs are necessary.

    Release date:2020-09-21 04:26 Export PDF Favorites Scan
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