Application Effect of Enhanced Recovery After Surgery on Perioperative Nursing of Patients with Thyroid Cancer
Yang Jianjie,
Feng Hao,
Huang Ping
Issue:
Volume 11, Issue 4, August 2022
Pages:
98-102
Received:
30 June 2022
Accepted:
20 July 2022
Published:
26 July 2022
DOI:
10.11648/j.ajns.20221104.11
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Abstract: Objective: To evaluate the perioperative effect of enhanced recovery after surgery (ERAS) in patients with thyroid cancer. Methods: The clinical data of 82 patients with thyroid cancer admitted in Liuzhou Municipal Liutie Central Hospital from January 2019 to December 2020 were retrospectively analyzed. They were devided into the ERAS group (n=42) and the control group (n=40). Patients in the ERAS group received periporative nursing care based on ERAS concept while those in the control group received routine perioperative nursing care. The first postoperative off-bed time, hospitalization stay, hospitalization costs, complication rate and patients’ satisfaction were compared between the two groups. Results: The first postoperative off-bed time in the ERAS group was earlier than that in the control group, hospitalization stay in the ERAS group was less than that in the control group, hospitalization cost in the ERAS group was less than that in the control group, the incidence of postoperative complications in the ERAS group was lower than that in the control group and patients’ satisfaction in the ERAS group was higher than that in the control group (all P<0.05). Conclusion: ERAS concept applied into perioperative care of patients with thyroid cancer can promote early rehabilitation, reduce postoperative complications and improve patients’ satisfaction.
Abstract: Objective: To evaluate the perioperative effect of enhanced recovery after surgery (ERAS) in patients with thyroid cancer. Methods: The clinical data of 82 patients with thyroid cancer admitted in Liuzhou Municipal Liutie Central Hospital from January 2019 to December 2020 were retrospectively analyzed. They were devided into the ERAS group (n=42) ...
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Geospatial-Based Malaria Risk Mapping: A Case of Gedeo Zone, Southern Nations Nationalities and Peoples’ Regional State, Ethiopia
Wendafiraw Abdisa Gemmechis,
Alemu Selemon Kudama
Issue:
Volume 11, Issue 4, August 2022
Pages:
103-117
Received:
5 July 2022
Accepted:
9 August 2022
Published:
5 September 2022
DOI:
10.11648/j.ajns.20221104.12
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Views:
Abstract: Geographic Information System (GIS) and Remote Sensing (RS) played an important role in analyzing environmental and socio-economic drivers that created favorable condition for malaria breeding as well as in identifying hazard and risk areas. This study gives great emphasis on mapping malaria hazard and risk areas in Gedeo zone of Southern Nation Nationalities and Peoples (SNNPs) using geospatial technology. The study identifies two major drivers like Environmental (physical) factors: which provide for the endurance of mosquitoes and Socio-economic factors. The above data were presented and analyzed quantitatively. The content analysis shows that Malaria hazard prevalence areas were mapped based on the environmental factors which are potential of providing good environmental conditions for mosquito breeding. The hazard map was produced using elevation, slope, proximity to breeding sites, and soil type as the factors for breeding mosquitoes. The malaria hazard analysis of the Gedeo zone revealed that from the total area, 9.83%, 35.29% is mapped as a very high and high-risk area, whereas, the remaining 38.73%, a 16.14%, and 0.01% were mapped as moderate, low, very low level of malaria hazard respectively. The total area of the study area more than 1/3rd of the area is identified as a very high and high malaria risk area while the rest 2/3rd of an area is considered as a moderate to very low hazard risk zone. Accordingly, very high malaria risk area is found around towns because of population density. Finally, I recommend that the concerned body should have to expand health center, creating awareness of society, especially around populated areas where the risk is high and environmental and individual sanitation can reduce the risk of malaria.
Abstract: Geographic Information System (GIS) and Remote Sensing (RS) played an important role in analyzing environmental and socio-economic drivers that created favorable condition for malaria breeding as well as in identifying hazard and risk areas. This study gives great emphasis on mapping malaria hazard and risk areas in Gedeo zone of Southern Nation Na...
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