It is essential to improve the practice of community healthcare service for the resolution of the problem of inadequate and overly expensive medical services, to promote the harmonization of doctor-patient relationship. From the aspects of the introduction of community healthcare service and the necessity of its standard management, the civil legal relation of community healthcare and its major problems, as well as the rights and duties of community doctors, the authors discussed the importance and necessity of scientific management, right protection by law as well as sound and orderly development of community healthcare service.
The relationship between doctors and patients becomes a public hot topic recently, which becomes more prominent during the reforming and transition of the health care system. The emergence of evidence-based medicine corresponds to the requirement of the clinical practice brought by the transition of the health care system. It will play an important role in improving the relationship between doctors and patients. The promotion of evidence-based practice will be helpful to alleviate the conflict between doctors and patients and to increase the quality of health care.
The medical literature contains a wealth of valuable medical knowledge. At present, the research on extraction of entity relationship in medical literature has made great progress, but with the exponential increase in the number of medical literature, the annotation of medical text has become a big problem. In order to solve the problem of manual annotation time such as consuming and heavy workload, a remote monitoring annotation method is proposed, but this method will introduce a lot of noise. In this paper, a novel neural network structure based on convolutional neural network is proposed, which can solve a large number of noise problems. The model can use the multi-window convolutional neural network to automatically extract sentence features. After the sentence vectors are obtained, the sentences that are effective to the real relationship are selected through the attention mechanism. In particular, an entity type (ET) embedding method is proposed for relationship classification by adding entity type characteristics. The attention mechanism at sentence level is proposed for relation extraction in allusion to the unavoidable labeling errors in training texts. We conducted an experiment using 968 medical references on diabetes, and the results showed that compared with the baseline model, the present model achieved good results in the medical literature, and F1-score reached 93.15%. Finally, the extracted 11 types of relationships were stored as triples, and these triples were used to create a medical map of complex relationships with 33 347 nodes and 43 686 relationship edges. Experimental results show that the algorithm used in this paper is superior to the optimal reference system for relationship extraction.
Dose-response relationship model has been widely used in epidemiology studies, as well as in evidence-based medicine area. In dose-response meta-analysis, the results are highly depended on the raw data. However, many primary studies did not provide sufficient data and led the difficulties in data analysis. The efficiency and response rate of collecting the raw data from original authors were always low, thus, evaluating and transforming the missing data is very important. In this paper, we summarized several types of missing data, and introduced how to estimate the missing data and transform the effect measure using the existed information.
Medical behaviors involve multi level and multi subject legal relations. In the process of medical and nursing care, there are two categories of legal relations concerning medical behaviors. They are external and internal legal relations. External legal relations involve legal relations between hospitals, between physicians and patients and between major medical accidents and penalties; internal legal relations involve physicians, nurses and hospital authorities.
Does-response meta-analysis, which has being developed for more than 30 years, is a type of regression function and can be both linear and non-linear model. It plays an important role in investigating the relationship between dependent and independent variable. With its special advantages, dose-response meta-analysis has been widely used in evidence-based practice and decision. Currently there are several models can be used to perform dose-response metaanalysis with various advantages and disadvantages. It is vital to choose best model to perform dose-response metaanalysis in evidence-based practice. In this paper, we briefly introduce and summarize the methodology of dose-response meta-analysis.
We introduced the current doctor-patient relationship and analyzed its opposition and unification based on present medical practice. We suggested that evidence-based medicine should be an important in improving doctor-patient relationship in clinical practice. We urged health care professionals to learn and apply initiatively evidence-based medicine, so as to improve the patient-professional relationship.
ObjectiveTo investigate the time relationship of the change, and diagnostic accuracy and sensitivity between retinal light threshold fluctuations (LTF) and retinal nerve fiber layer (RNFL) and ganglion cell complex(GCC) thickness on high-risk primary open-angle glaucoma (POAG). MethodsTotally 319 patients (319 eyes) with high-risk in POAG from the First Affiliated Hospital of Kunming Medical Universityand during December 2009 and December 2017, 50 healthy individuals (50 eyes) as control were collected in this longitudinal cohort study. Visual field and OCT were reviewed every 6 months on the high-risk group and every 12 months on the control group. High-risk groups inclusion criteria: vertical C/D≥0.6; early visual field defect (according to glaucoma visual field damage GSS2 quantitative grading standards, mean deviation and pattern standard deviation of central field exceeds the border as an early visual field defect); continuous repeatable results. The first field and OCT results in the absence of visual field defects and C/D≥0.6, which were conformed reliability indicators and removed learning effects as a baseline. When patients achieve POAG diagnosis criteria first time which was recorded as a turning point. And they were divided into early group meanwhile were ended of follow-up. After the last follow-up, the inspection data was segmented counted in yearly interval. The changes of LTF, thickness of RNFL and GCC during the follow-up period in the early POAG group and the control group were observed. The loss rate and change rate in each period were compared for the assessment of their trends with time. Followed by calculation of the area under receiver operating curves (AUC) to compare the predicted value of POAG and the sensitivity at 95% specificity in each period. ResultsAfter last follow-up, totally 67 patients 67 eyes (early POAG group, 37 males and 30 females) were entered the turning point. The mean follow-up of the early POAG group and the control group were 6.6 and 6.4 years. The average RNFL thickness was 79.05±8.09 μm, GCC thickness was 71.58±8.41 μm, LTF was −6.05±7.02 dB in early POAG group. The average RNFL thickness was 93.49±6.24 μm, GCC thickness was 79.72±6.32 μm, LTF was −0.31±0.58 dB in the control group. The differences of LTF and the thickness of RNFL and GCC were statistically significant (t=−5.97, −10.42, −5.60; P＜0.001). The AUC of RNFL, GCC thickness and LTF increased with time in the early POAG group. The sensitivity was gradually increased at 95% specificity: 5th year before to at turning point, RNFL thickness AUC was 0.15, 0.65, 0.71, 0.77, 0.85, 0.92, and sensitivity was 20%, 56%, 61%, 65%, 70%, 76%, respectively; GCC thickness AUC was 0.12, 0.53, 0.69, 0.74, 0.82, 0.90, and sensitivity was 14%, 53%, 69%, 74%, 82%, 90%, respectively; the AUC of LTF was 0.10, 0.21, 0.33, 0.75, 0.86, 0.91, and sensitivity was 7%, 17%, 44%, 65%, 78%, 87%, respectively. ConclusionsThe earliest time of structural functional damage of POAG is at the 4th year before confirmed, simultaneous RNFL diagnosis accuracy and sensitivity are better than GCC and LTF. The earliest time of visual functional damage of POAG is at the 2th year before confirmed, simultaneous LTF diagnosis accuracy and sensitivity are better than RNFL and GCC.
Objective To explore the factors which influence the doctor-patient relationship and to provide evidence to help decision makers improve hospital management and construct a harmonious doctor-patient relationship. Methods Discharged patients of West China Hospital from 2003-2006 were randomly selected and asked to complete a specially designed questionnaire. Results In total, 8 000 questionnaires were distributed and 2 526 were returned. The retrieval rate was 31.57%. The responses showed that non-medical factors have became the main factors affecting the doctor-patient relationship (91.8%). Other important factors included medical cost (21.5%) and doctor-patient communication (11.51%). Conclusion We should boost hospital management level, train non-medical staff, save costs and improve doctor-patient communication.
Objective To analyze the relationship between neuroticism and gastroesophageal reflux disease (GERD) using the Mendelian randomization (MR) method. Methods Exposure and outcome data were downloaded from the Integrative Epidemiology Unit (IEU) database in August 2023, including summary statistics from genome-wide association studies (GWAS) for neuroticism (n=374 323) and GERD (n=602 604). MR was conducted using the weighted median method, MR-Egger method, inverse variance weighted method, weighted mode method, and simple mode method. The causal relationship between the two was assessed using odds ratio (OR), and sensitivity analyses were performed to ensure the accuracy of the results. ResultsNeuroticism was associated with an increased risk of GERD [OR=1.229, 95%CI (1.186, 1.274), P<0.001]. Similarly, GERD was associated with an increased risk of neuroticism [OR=1.786, 95%CI (1.623, 1.965), P<0.001]. Conclusion There is a bidirectional causal relationship between neuroticism and gastroesophageal reflux disease.