ObjectiveTo explore the application of discharge planning model in Respiratory Department. MethodWe developed discharge planning model in the Respiratory Department and performed standardized management on inpatients by assessing, planning, implementing and following up the whole process. A total of 716 discharged patients before the implementation of the planning model (January to March 2014) were designated as the control group, and 739 discharged patients after the model implementation (April to June 2014) were regarded as the observation group. Then, we compared such indexes as the rate of discharge planning, average length of hospital stay, retention rate of discharged patients, the number of new hospital admissions and medical orders during the time of weak nurse strength, and inpatient satisfaction before and after the model implementation. ResultsAfter implementation of discharge planning model, all observed indicators were significantly better in the observation group (P<0.05). ConclusionsImplementation of discharge planning model can effectively promote physician-nurse cooperation, plan health guidance for discharged patients, make them be ready to return to society and family, improve patients' satisfaction, and achieve the aim of patient-oriented high quality care. Meanwhile, it also can shorten the average length of hospital stay, reduce orders during the time of weak strength. It can not only ensure the ward medical indexes, but is helpful to manage nursing schedule.
ObjectiveTo systematically review the experience of parents caring for preterm infants after discharge from hospital. MethodsWe searched databases including The Cochrane Library, Joanna Briggs Institute Library, PubMed, EMbase, Scopus, ISI Web of Science, PsycINFO, CINAHL, CBM, CNKI and VIP from inception to May 2015, to collect qualitative studies in the experience of parents caring for preterm infants after discharge from hospital. The quality of included studies was evaluated according to JBI Critical Appraisal Tool for qualitative studies in Australia. The results were integrated by integrating methods. ResultsA total of nine studies were included. Thirty-one complete findings were grouped according to their similarities to form seven categories. These categories resulted in two synthesized findings:integration results 1:parents grow in the adaptation of their care giving roles for the preterm infants; integration results 2:they are eager and thankful for support, resource and information in this critical transition period. ConclusionHealth care workers should pay attention to the important influence of premature infants discharged from hospital on their parents. In the adaption period of premature parents, health care workers should give necessary care knowledge skills to guide the parents, to assist them to compete the role of caregivers as soon as possible and promote the healthy growth of premature infants after discharge.
Objective To explore the predicted precision of discharged patients number using curve estimation combined with trend-season model. Methods Curve estimation and trend-season model were both applied, and the quarterly number of discharged patients of 363 hospital from 2009 to 2015 was collected and analyzed in order to predict discharged patients in 2016. Relative error between predicted value and actual number was also calculated. Results An optimal quadratic regression equation Yt=3 006.050 1+202.350 8×t–3.544 4×t2 was established (Coefficient of determination R2=0.927, P<0.001), and a total of 23 462 discharged patients were predicted based on this equation combined with trend-season model, with a relative error of 1.79% compared to the actual number. Conclusion The curve estimation combined with trend-season model is a convenient and visual tool for predicting analysis. It has a high predicted accuracy in predicting the number of hospital discharged patients or outpatients, which can provide a reference basis for hospital operation and management.
ObjectiveTo systematically review the efficacy of discharge preparation service in elderly patients with chronic diseases.MethodsCNKI, WanFang Data, VIP, Web of Science, The Cochrane Library, PubMed and EMbase databases were electronically searched to collect randomized controlled trails (RCTs) on the discharge preparation service for elderly patients with chronic diseases from January, 2000 to January, 2019. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies, then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 7 RCTs, involving 884 patients were included. The results of meta-analysis showed that: after the hospitalization preparation service, the incidence of acute complication (RR=0.38, 95%CI 0.15 to 0.98, P=0.04), patient compliance behavior (SMD=0.54, 95% CI 0.25 to 0.83, P=0.000 3), exercise capacity (SMD=2.65, 95%CI 0.25 to 5.04, P=0.03), and nursing satisfaction (SMD=0.71, 95%CI 0.10 to 1.33, P=0.02) significantly improved. However, there were no significant differences in emergency hospital admission for acute complications (RR=0.25, 95%CI 0.06 to 1.11, P=0.07), self-care ability (SMD=2.18, 95%CI −1.02 to 5.38, P=0.18), activity of daily living (ADL) (SMD=0.56, 95%CI −0.47 to 1.59, P=0.28).ConclusionsThe current evidence shows that after implementation of the discharge preparation service, the incidence of acute complication, compliance behavior, exercise ability, and service satisfaction of the elderly patients with chronic diseases are significantly improved. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify above conclusion.
Due to the high incidence rate, high mortality rate, high disability rate, high recurrence rate and many complications of stroke, patients are easily re-admitted after discharge, which seriously affects their quality of life. A scientific and standardized discharge plan can ensure continuous medical care for stroke patients, reduce readmission rates, and improve patient outcomes, which is of great significance for reducing the burden of stroke. This paper reviewes the development and connotation, the nursing model and the implementation status of the discharge planning among stroke patients at home and abroad, and makes recommendations on the opportunities and challenges of implementing the stroke discharge plan, in order to provide a reference for scientific and standardized stroke disease management.