Objective:To identify the group classification of discharged older adults’digital transition care demands and analyze its influencing factors.Methods:From July to August 2022,we used stratified random sampling to rec...Objective:To identify the group classification of discharged older adults’digital transition care demands and analyze its influencing factors.Methods:From July to August 2022,we used stratified random sampling to recruit older patients who were discharged between July 2021 and July 2022 from tertiary hospitals in Shanghai.We used latent profile analysis to classify the older patients into distinct groups based on their service demands:low,medium,and high.We use multiple logistic regression to explore the factors influencing the different demand levels.Results:The degree of discharged older patients’demand was classified as low(Category 1(C1),34.2%),medium(Category 2(C2),49.5%),high-demand levels(Category 3(C3),16.3%).Compared to those have C2,older adults in C1 are more likely to be male(Odds Ratio(OR)=2.81,P=0.02),have 2 chronic diseases(OR=3.91,P=0.03),and are less likely to be junior high and below(OR=0.09,P=0.00),hospitalized for 1–2 times in the past year(1 times:OR=0.19,P=0.07;2 times:OR=0.14,P=0.02),living with children(OR=0.32,P=0.05),have less insurance(OR=0.48,P=0.03),less understanding of digital transitional care(OR=0.47,P=0.01),have less eHealth literacy(OR=0.80,P=0.00),have less degree of importance attributed by family(OR=0.52,P=0.03);Compared to those have medium demand level,older adults in high demand level are more likely to have self and spouse as primary income(self:OR=26.35,P=0.00;spouse:OR=24.06,P=0.02),walking to the nearest health facility(self:6.74,P=0.03),have higher eHealth literacy(OR=1.88,P=0.00),degree of importance within the family(OR=5.19,P=0.01),higher self’s influence on medical decisions-making(OR=5.69.P=0.01).They are less likely to be in 60–79 years group(OR=0.00–0.37,P=0.00–0.03),Household Annual Income<5,000 CNY(OR=0.05,P=0.02).Conclusion:Digital transitional care demands of discharged older patients can be divided into three categories.Constructing a digital transitional care service system that aligns with the demands of discharged older patients is essential.Communication,care plan development,and follow-up are the most fundamental services.Additionally,it is essential to understand the characteristics of high-demand populations to provide tailored services and identify vulnerable populations from health and social perspectives to offer cost-effective transitional care services.展开更多
Objective:Primary dysmenorrhea(PD)is a prevalent gynecological disorder.Yuanhu Zhitong oral liquid(YHZT)presents a promising alternative treatment for PD.However,the mechanisms underlying its efficacy remain unclear.T...Objective:Primary dysmenorrhea(PD)is a prevalent gynecological disorder.Yuanhu Zhitong oral liquid(YHZT)presents a promising alternative treatment for PD.However,the mechanisms underlying its efficacy remain unclear.This study aims to investigate the potential targets and mechanisms of action of YHZT in treating PD using network pharmacology,molecular docking,and molecular dynamics simulations.Methods:Potential compounds from YHZT were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and the Traditional Chinese Medicine Information Database(TCMID).The relevant targets of these compounds were identified using the similarity ensemble approach(SEA)and the Swiss Target Prediction database.PD-related targets were retrieved from the Genecards,DrugBank,and Disgenet databases.ClusterProfiler was utilized for Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.The compound-target-pathway(CTP)network was constructed to facilitate the identification of key compounds,core targets,and signaling pathways.Finally,molecular docking and molecular dynamics simulations were performed to evaluate the interactions between the targets and compounds.Results:A total of 153 putative compounds and 129 targets of YHZT were identified.Network topology analysis revealed eight core targets and six key compounds.The effects of YHZT were mediated by genes associated with hormone and steroid metabolism,as well as pathways involved in steroid hormone biosynthesis and cytochrome P450 enzymes.Docking results showed free binding energies ranging from-6.06 to-10.85 kcal/mol,indicating strong binding affinity between the compounds and targets.Molecular dynamics simulation results further confirmed the stability of these interactions.Conclusion:This study demonstrates that YHZT treats PD by suppressing inflammatory reactions and modulating hormone and cytochrome P450 concentrations.Key compounds such as ferulic acid,(R)-canadine,(S)-canadine,canadine,and asristolone are implicated in this process.These findings offer insights into the mechanisms underlying the action of YHZT and provide a foundation for further research in this area.展开更多
文摘Objective:To identify the group classification of discharged older adults’digital transition care demands and analyze its influencing factors.Methods:From July to August 2022,we used stratified random sampling to recruit older patients who were discharged between July 2021 and July 2022 from tertiary hospitals in Shanghai.We used latent profile analysis to classify the older patients into distinct groups based on their service demands:low,medium,and high.We use multiple logistic regression to explore the factors influencing the different demand levels.Results:The degree of discharged older patients’demand was classified as low(Category 1(C1),34.2%),medium(Category 2(C2),49.5%),high-demand levels(Category 3(C3),16.3%).Compared to those have C2,older adults in C1 are more likely to be male(Odds Ratio(OR)=2.81,P=0.02),have 2 chronic diseases(OR=3.91,P=0.03),and are less likely to be junior high and below(OR=0.09,P=0.00),hospitalized for 1–2 times in the past year(1 times:OR=0.19,P=0.07;2 times:OR=0.14,P=0.02),living with children(OR=0.32,P=0.05),have less insurance(OR=0.48,P=0.03),less understanding of digital transitional care(OR=0.47,P=0.01),have less eHealth literacy(OR=0.80,P=0.00),have less degree of importance attributed by family(OR=0.52,P=0.03);Compared to those have medium demand level,older adults in high demand level are more likely to have self and spouse as primary income(self:OR=26.35,P=0.00;spouse:OR=24.06,P=0.02),walking to the nearest health facility(self:6.74,P=0.03),have higher eHealth literacy(OR=1.88,P=0.00),degree of importance within the family(OR=5.19,P=0.01),higher self’s influence on medical decisions-making(OR=5.69.P=0.01).They are less likely to be in 60–79 years group(OR=0.00–0.37,P=0.00–0.03),Household Annual Income<5,000 CNY(OR=0.05,P=0.02).Conclusion:Digital transitional care demands of discharged older patients can be divided into three categories.Constructing a digital transitional care service system that aligns with the demands of discharged older patients is essential.Communication,care plan development,and follow-up are the most fundamental services.Additionally,it is essential to understand the characteristics of high-demand populations to provide tailored services and identify vulnerable populations from health and social perspectives to offer cost-effective transitional care services.
基金funded by the Science and Technology Development Fund of Macao SAR(No.:005/2023/SKL,and SKL-QRCM(UM)-2023-2025)the University of Macao(No.:MYRG2022-00103-ICMS and MYRG-CRG2023-00007-ICMS-IAS).
文摘Objective:Primary dysmenorrhea(PD)is a prevalent gynecological disorder.Yuanhu Zhitong oral liquid(YHZT)presents a promising alternative treatment for PD.However,the mechanisms underlying its efficacy remain unclear.This study aims to investigate the potential targets and mechanisms of action of YHZT in treating PD using network pharmacology,molecular docking,and molecular dynamics simulations.Methods:Potential compounds from YHZT were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and the Traditional Chinese Medicine Information Database(TCMID).The relevant targets of these compounds were identified using the similarity ensemble approach(SEA)and the Swiss Target Prediction database.PD-related targets were retrieved from the Genecards,DrugBank,and Disgenet databases.ClusterProfiler was utilized for Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.The compound-target-pathway(CTP)network was constructed to facilitate the identification of key compounds,core targets,and signaling pathways.Finally,molecular docking and molecular dynamics simulations were performed to evaluate the interactions between the targets and compounds.Results:A total of 153 putative compounds and 129 targets of YHZT were identified.Network topology analysis revealed eight core targets and six key compounds.The effects of YHZT were mediated by genes associated with hormone and steroid metabolism,as well as pathways involved in steroid hormone biosynthesis and cytochrome P450 enzymes.Docking results showed free binding energies ranging from-6.06 to-10.85 kcal/mol,indicating strong binding affinity between the compounds and targets.Molecular dynamics simulation results further confirmed the stability of these interactions.Conclusion:This study demonstrates that YHZT treats PD by suppressing inflammatory reactions and modulating hormone and cytochrome P450 concentrations.Key compounds such as ferulic acid,(R)-canadine,(S)-canadine,canadine,and asristolone are implicated in this process.These findings offer insights into the mechanisms underlying the action of YHZT and provide a foundation for further research in this area.
