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Objective To explore the application effect of key indicators of oncology nursing quality evaluation in the continuous improvement of specialist nursing quality. Methods The Delphi method was used to cons-truct 14 key indicators of oncology nursing quality evaluation, and the key indicators were used to control the quality of specialist nursing in the tumor area. Data were collected and a database was established. Based on the data, the quality of the nursing care and continuous quality improvement were carried out. Results The results of the data from the first year (before the intervention in 2016) and the second year (after the intervention in 2017) were compared with the data of the key indicators of the quality evaluation of the specialist nursing. The results showed that the indicators had different degrees of decline. The data before and after intervention were: chemotherapy drug extravasation rate 0.20% (33/16 861) and 0.10% (20/19 957), and the incidence of severe pain was 1.65% (1 747/106 114) and 1.43% (1 521/106 462). The incidence of anxiety was 2.17% (2 305/106 114) and 1.53% (1 633/106 462), and the incidence of depression was 2.27% (2 408/106 114) and 1.28% (1 359/106 462). The difference was statistically significant (χ2=5.80-300.90, P<0.05); The other 9 indicators of process have improved to varying degrees. Conclusions 14 key indicators of oncology nursing quality evaluation are applied to the oncology ward for specialized nursing quality management and quality improvement, which can monitor the quality of key specialist nursing in real time and dynamically. It can accurately select clinical nursing priority improvement projects and improve specialist nursing. Quality;energy evaluation to improve the quality of specialist nursing quality; help improve the quality management of specialist nursing and ensure patient safety.
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Porcine sapovirus (PoSaV) is one of the important pathogens that cause acute gastroenteritis in piglets. A survey on the infection and epidemic status of PoSaV in Xinjiang Province, Northwest China, was conducted in this study. We applied indirect viral protein 1 (VP1)-ELISA method to detect specific antibodies in 1218 serum samples of 3-month-old piglets collected from eight regions in Xinjiang during 2013-2014 and also detected PoSaV in 146 diarrhea stools of piglets in these eight regions using RT-PCR technology. The results showed that the PoSaV-serological positive rates in piglets in eight different regions in Xinjiang were between 32.82 and 47.06% with a mean rate of 37.68%. The average positive rate of PCR in stools of piglets was 3.42%. Sequencing and comparative analysis of five PCR-amplified DNA fragments revealed that four epidemic strains of PoSaV (swine/XJ-KO1, swine/XJ-AK2, swine/XJ-KS1, and swine/XJ-SHZ1) shared high nucleotide and amino acid identities with Cowden strain, while strain swine/XJ-AK1 shared higher high identities with Po/OH-JJ681/2000/US isolate. Phylogenetic clustering further verified that the epidemic strains of PoSaVs, i.e., swine/XJ-KO1, swine/XJ-AK2, swine/XJ-KS1, and swine/XJ-SHZ1, belong to genogroup (GIII) while swine/XJ-AK1 belongs to GVI. This survey confirmed for the first time that PoSaV infection was common in piglets in Xinjiang, China, and that the epidemic strains exist at least in both GIII and GVI clusters. This study provided the useful epidemiological data for scientific control and prevention of this disease.
