Objective:To systematically evaluate the risk prediction model for readmission in patients after percutaneous coronary intervention, and to provide reference for medical staff to apply or optimize relevant risk assessment tools.Methods:China National Knowledge Infrastructure, VIP, Wanfang Data, China Biomedical Literature Database, and Cochrane Library, PubMed, Embase, CINAHL, Scopus and Web of Science were searched for the related studies on readmission risk prediction models in patients with percutaneous coronary intervention from the establishment of the databases to April 25, 2024. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias in the included studies.Results:A total of eleven articles were included, involving sixteen readmission risk prediction models, with readmission rates ranging from 0.70% to 31.44% and the areas under subjects′working characteristic curves ranging from 0.604 to 0.899. Calibration methods were reported in ten models, five studies reported processing methods of missing data, and external validation was used in three studies. The overall risk of bias was higher. The top six predictors of repeated reports in the readmitted model were age, renal insufficiency, sex, congestive heart failure, diabetes and health insurance.Conclusions:The readmission risk prediction models had good predictive performance. However, the quality of the model methodology was limited. It is necessary to improve the research quality in data sources, measurement and definition of predictive factors, processing of missing data and model evaluation. In the future, data mining can be used to apply the readmission prediction model in the early stage of admission, so as to identify high-risk patients as early as possible and effectively prevent the occurrence of readmission.

Objective To build an inpatient hospital discharge preparation service management platform,to explore its application outcomes,and to enhance the quality of discharge preparation service management.Methods A research team was set up,and the literature was referenced.The platform was built on the basis of connecting and optimizing various existing information systems in the hospital,including 6 modules:evaluation,implementation of nursing,referral,monitoring feedback,follow-up,and continued nursing.Patients admitted to a tertiary comprehensive hospital were conveniently selected as research subjects in Shandong Province from August 2023 to January 2024.The 97 patients included after the platform application(November 2023 to January 2024)were selected as an experimental group,and the 97 patients included before the platform application(August to October 2023)were selected as a control group.The rate of unplanned readmission within 30 days,the utilization rate of"Internet+Nursing Services",and the time for assessing the demand for discharge planning service were compared between the 2 groups.In addition,in February 2024,300 healthcare professionals from the same hospital were selected to evaluate their satisfaction with the use of the platform.Results There were 7 cases dropping out in each of the 2 groups.The rate of unplanned readmission within 30 days in the experimental group was lower than that in the control group;the utilization rate of"Internet+Nursing Services"was higher than that in the control group;the time for assessing the demand for discharge planning service was less than that in the control group,with statistically significant differences(P＜0.05).In the satisfaction survey of medical staff on the use of the platform,the effective questionnaire response rate was 94.67％,and the score of the clinical nursing information system effectiveness evaluation scale was(100.84±16.48)points.Conclusion The use of this platform can reduce the unplanned readmission rate of patients within 30 days,promote the development of"Internet+Nursing Services",reduce the time for assessing the needs of discharge planning services,and medical staff are highly satisfied with the use of the platform.

Objective:To systematically evaluate the risk prediction model for readmission in patients after percutaneous coronary intervention, and to provide reference for medical staff to apply or optimize relevant risk assessment tools.Methods:China National Knowledge Infrastructure, VIP, Wanfang Data, China Biomedical Literature Database, and Cochrane Library, PubMed, Embase, CINAHL, Scopus and Web of Science were searched for the related studies on readmission risk prediction models in patients with percutaneous coronary intervention from the establishment of the databases to April 25, 2024. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias in the included studies.Results:A total of eleven articles were included, involving sixteen readmission risk prediction models, with readmission rates ranging from 0.70% to 31.44% and the areas under subjects′working characteristic curves ranging from 0.604 to 0.899. Calibration methods were reported in ten models, five studies reported processing methods of missing data, and external validation was used in three studies. The overall risk of bias was higher. The top six predictors of repeated reports in the readmitted model were age, renal insufficiency, sex, congestive heart failure, diabetes and health insurance.Conclusions:The readmission risk prediction models had good predictive performance. However, the quality of the model methodology was limited. It is necessary to improve the research quality in data sources, measurement and definition of predictive factors, processing of missing data and model evaluation. In the future, data mining can be used to apply the readmission prediction model in the early stage of admission, so as to identify high-risk patients as early as possible and effectively prevent the occurrence of readmission.

Objective To build an inpatient hospital discharge preparation service management platform,to explore its application outcomes,and to enhance the quality of discharge preparation service management.Methods A research team was set up,and the literature was referenced.The platform was built on the basis of connecting and optimizing various existing information systems in the hospital,including 6 modules:evaluation,implementation of nursing,referral,monitoring feedback,follow-up,and continued nursing.Patients admitted to a tertiary comprehensive hospital were conveniently selected as research subjects in Shandong Province from August 2023 to January 2024.The 97 patients included after the platform application(November 2023 to January 2024)were selected as an experimental group,and the 97 patients included before the platform application(August to October 2023)were selected as a control group.The rate of unplanned readmission within 30 days,the utilization rate of"Internet+Nursing Services",and the time for assessing the demand for discharge planning service were compared between the 2 groups.In addition,in February 2024,300 healthcare professionals from the same hospital were selected to evaluate their satisfaction with the use of the platform.Results There were 7 cases dropping out in each of the 2 groups.The rate of unplanned readmission within 30 days in the experimental group was lower than that in the control group;the utilization rate of"Internet+Nursing Services"was higher than that in the control group;the time for assessing the demand for discharge planning service was less than that in the control group,with statistically significant differences(P＜0.05).In the satisfaction survey of medical staff on the use of the platform,the effective questionnaire response rate was 94.67％,and the score of the clinical nursing information system effectiveness evaluation scale was(100.84±16.48)points.Conclusion The use of this platform can reduce the unplanned readmission rate of patients within 30 days,promote the development of"Internet+Nursing Services",reduce the time for assessing the needs of discharge planning services,and medical staff are highly satisfied with the use of the platform.

Objective:To analyze the nursing efficiency of clinical departments in general hospitals under the background of medical insurance payment reform, and to explore the methods of rational allocation of resources and improvement of service efficiency.Methods:The relevant data of Qingdao Municipal Hospital from January to December 2020 were selected. The nursing efficiency of 20 clinical departments in the hospital was evaluated by data envelopment analysis (DEA) and Malmquist index. The input indexes were the number of nurses, the number of hours, the number of open beds. The output indicators were number of discharges, average length of stay, and case mix index.Results:In 2020, the average comprehensive efficiency, pure technical efficiency and scale efficiency of 20 clinical departments in the hospital were 0.845, 0.913 and 0.923, respectively.The total factor production efficiency index of the hospital from February to April, from May to September and from October to November were all greater than 1, but the total factor production efficiency index from January to December was less than 1. There were 5 departments with total factor production efficiency index greater than 1.Conclusions:The comprehensive nursing efficiency of clinical departments needs to be improved, and diagnosis related groups (DRG) poses a more severe challenge to the efficiency management of internal medicine nursing. The COVID-19 epidemic has a great impact on the efficiency of nursing services.It is feasible to evaluate the nursing efficiency with DEA model and DRG related indicators.Combined with the disease characteristics and nursing work characteristics of patients admitted to the department, the deep causes should be explored, comprehensive measures should be taken to improve nursing efficiency, precise nursing service transformation based on the reform of medical insurance payment mode should be explored, Internet + nursing service should be promoted, and the improvement of nursing resource efficiency under the status of normal epidemic prevention and control should be paid attention to.

The incidence of psoriasis in the world is increasing year by year. With the deepening of the understanding of self-management efficacy, the research on self-management efficacy of psoriasis patients at home and abroad is increasing. This article reviews the concepts, contents, influencing factors and intervention of self-management efficacy in patients with psoriasis, so as to provide a reference for improving the self-management efficacy of patients with psoriasis.

Objective:To explore the status quo of palliative care needs of patients with end-stage heart failure, and analyze its influencing factors.Methods:This study was a cross-sectional study. From December 2019 to December 2020, convenience sampling was used to select 83 patients with end-stage heart failure in a Heart Failure Treatment Center of a Class Ⅲ Grade A hospital in Qingdao as the research object. The General Information Questionnaire and the Palliative Care Needs Scale for Patients with End-stage Heart Failure were used to investigate the patients. Multiple linear regression was used to analyze the influencing factors. A total of 83 questionnaires were distributed and 76 valid questionnaires were returned with the valid response rate of 91.57%.Results:Among 76 patients with end-stage heart failure, the total score of the Palliative Care Needs Scale for Patients with End-stage Heart Failure was (110.87±20.77) , of which the information needs dimension score (29.61±6.69) was the highest. The results of multiple linear regression analysis showed that the serum sodium concentration, the number of comorbidities, and the educational background were the influencing factors of the palliative care needs of patients with end-stage heart failure ( P<0.05) , which explained 30.6% of the total variation of the palliative care needs. Conclusions:Patients with end-stage heart failure have a high demand for palliative care. Nursing staff should provide personalized palliative care for patients with end-stage heart failure according to their own characteristics.

OBJECTIVETo introduce the application of "tennis racket" flap with fascial pedicle on the healthy chest for radiation ulcer after surgical treatment of breast cancer.

METHODSThe " tennis racket" flap was designed on the healthy chest along the cartilage with fascia pedicle near the sternum. 9 cases were treated. The flaps size ranged from 5.0 cm x 3.5 cm to 13 cm x 11 cm with pedicle size of 2-8 cm in length and 2.0-3.0 cm in width.

RESULTSAll the 9 flaps survived completely with satisfactory appearance. The patients were followed up for 2 months to 3 years without ulcer reoccurrence.

CONCLUSIONSThe "tennis racket" flap has a slender fascial pedicle without major blood vessel. It has the advantages of good flexibility for rotation and large flap size for the reconstruction of the radiation ulcer after surgical treatment of breast cancer.

Breast Neoplasms ; radiotherapy ; Fascia ; Female ; Humans ; Radiodermatitis ; surgery ; Skin Ulcer ; etiology ; surgery ; Sternum ; Surgical Flaps ; Tennis

Objective To examine the expression of metastasis-associated in colon cancer 1 (MACC1) gene in ovarian cancer cell lines and investigate its effect on biological behaviors of ovarian cancer cells.Methods The expression of MACC1 was examined by qRT-PCR and Western blot analysis in four ovarian cancer cell lines inculding OVCAR3,ES-2,SKOV3 and HO-8910.When the MACC1 was transfected to OVCAR3 cells,fluorogenic quantitative PCR was used to filter and identify MACC1 gene after the efficient silencing.Changes of adhesion in the cells were analyzed by an adhesion assay.Transwell migration and invasion assay and in vitro vascular mimicry assay were used to detect migration,invasion and angiogenesis of OVCAR3 cells in vitro.Results The expression of MACC1 gene was higher in OVCAR3 compared to other cell lines.qRT-PCR confirmed that the expression of MACC1 was silenced successfully after transient transfected MACC1-siRNA into OVCAR3 cells.After successful silencing the MACC1 expression,the adhesion ability was inhibited to some degree.In transwell migration assay,the numbers of cells in upper chamber passing through the membrane in transfected group were less than control groups (245.5 ±12.8,500.3±16.5 and 496.3±13.1 respectively),while in transwell invasion assay,the numbers of cells in upper chamber passing through the membrane in transfected group were less than the negative group and control group (185.3±14.1,405.7±9.1 and 416.3±11.5 respectively),both with markedly differences among the three groups.In tube formation assay,the distrubition of HUVECs was diffused with less junctions,and the average number of complete tubular structure was decreased in transfected group compared to the corresponding controls.Conclusion RNA interference inhibits the expression of MACC1 and effectively inhibits the metastasis and invasion abilities of ovarian cancer cells in vitro,and MACC1 is expected to become the target gene of ovarian cancer treatment.

Objective To discuss the influence of grading nursing care by physician-nurse cooperation decision-making on the quality of patient care and disease outcomes,and evaluate the application feasibility of nursing core system in this nursing mode.Methods 379 patients were admitted to departments of orthopedics and endocrinology from two hospital areas of our hospital from January 2011 to January 2012.Patients were divided into two groups according to nursing process.Patients who were given conventional grading nursing were set as the routine group,and patients receiving physician-nurse collaboration grading nursing were set as the collaboration group.The nursing quality and nursing efficiency,and the disease outcome of patients were compared between the two groups.Results The quality of care,the qualified rate of care plan implementation,the coverage rate of health education of patients and the patient satisfaction rate were higher in the collaboration group than those in the routine group.The performing rate of doctor's orders,the awareness rate of patient disease,the average length of hospital stay,compliance of medical orders and re-admission rate of patients with the same or a related disease within three months were significantly different between two groups.The collaboration group improved the matching degree of nursing grade with disease condition,understanding of professional knowledge,recording of nursing records,deficient nursing process,and communication ability of life knowledge,compared with those of the routine group.Conchusions Nursing grading mode by physician-nurse collaboration decision-making can obviously improve the defmition of grading nursing and the general treatment effect of patients,it significantly improved the quality of grading nursing.