Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

Objective Analyzes the grouping effect and its influencing factors under DRG payment,provides reference for the reform of DRG payment.Methods Evaluates the effectiveness of DRG grouping using Coefficient of Variation(CV)and Reduction in Variance;using Value of Structure of Variation and Degree of Structure Variation,analyzes hospitalization costs structure changes of different DRG groups,and calculates the degree of correlation between average hospitalization costs through grey relational analysis;using non parametric tests and multiple regression to analyze the influencing factors of hospitalization cost.Results DRG grouping effect was not good,inter-group heterogeneity was not obvious;the structure of hospitalization expenses is unreasonable,and the proportion of consumables expenses is too high,ranking first in the grey correlation degree of hospitalization expenses,comprehensive medical service fees and treatment fees rank third and fifth respectively;the main factors affecting hospitalization costs are treatment methods,length of stay,presence of complications,and first hospitalization,the difference is statistically significant(P＜0.05).Conclusion More grouping nodes or higher CV value standards should be added to enhance the grouping effect of gastric cancer DRG;optimize the structure of hospitalization costs to reflect the labor and technical value of medical personnel;strengthen internal management and control the unreasonable use of drugs and consumables.

OBJECTIVE: To compare and analyze the early clinical outcomes of unicompartmental knee arthroplasty with mobile and fixed platform for the treatment of single compartment osteoarthritis of knee. METHODS: From January 2013 to December 2014, 86 cases (92 knees) of knee osteoarthritis with single compartment (medial) were randomly divided into two groups. One group consisted of 42 patients, including 18 males and 24 females, underwent unicompartmental knee arthroplasty with fixed platform prosthesis; the other group consisted of 44 patients, including 20 males and 24 females, underwent unicompartmental knee arthroplasty with mobile platform prosthesis. The surgery was performed by the same group of doctors. The operation time, blood loss, ROM, KSS and HSS scores of knee joint before and after surgery were recorded and the clinical follow up was completed. RESULTS: The follow-up duration of the two groups ranged from 8 to 26 months, with an average of (18.20± 4.23) months. During the follow-up period, the periprosthetic fracture was found in 1 patient in the fixed platform group 1 year after operation, and polyethylene liner dislocation was found in 1 patient in the mobile platform group. No complications such as poor wound healing, periprosthetic infection or sterile prothesis loosening were found in all cases. In the fixed platform group, the operation time was (90.05±6.59) minutes and the blood loss was (53.76±6.04) ml. In the mobile platform group, the operation time was (90.73±6.74) minutes and the blood loss was (54.34±6.27) ml. In the fixed platform group, the ROM of knee increased from preoperative (94.52±4.54) degree to postoperative (104.64±4.42) degree. In the mobile platform group, the ROM of knee increased from preoperative (95.05±4.87) degree to postoperative (105.07±4.33) degree. In the fixed platform group, the KSS score increased from preoperative 48.69±5.68 to postoperative 83.55±5.37. In the mobile platform group, the KSS score increased from preoperative 49.39±5.68 to postoperative 84.11±6.14. In the fixed platform group, the HSS score increased from preoperative 45.45±3.62 to postoperative 84.55±6.08. In the mobile platform group, the HSS score increased from preoperative 45.93±4.01 to postoperative 85.16±6.30. There was no significant difference between the two groups. CONCLUSION There is no significant difference in the early outcome of unicondylar prosthesis with fixed and mobile platforms in the treatment of single compartmental osteoarthritis of knee. The long-term complications and revision rates of the two prostheses need further multi center and large-sample clinical study.
Arthroplasty, Replacement, Knee ; Case-Control Studies ; Female ; Humans ; Knee Joint ; Knee Prosthesis ; Male ; Osteoarthritis, Knee ; Range of Motion, Articular ; Retrospective Studies ; Treatment Outcome

OBJECTIVE: To explore clinical effect of shoulder arthroscopic speedbridge technique in treating avulsion fracture of greater tuberosity of humerus. METHODS: From March 2014 to March 2020, 39 patients with avulsion fracture of greater tuberosity of humerus were treated with speedbridge technique under shoulder arthroscopy. There were 22 males and 17 females aged from 23 to 67 years old with an average of(46.0±11.9) years old. The courses of disease ranged from 3 to 11 days with an average of (3.9±2.4) days. Preoperative and postoperative at 12 months, Constant-Murley shoulder function score and University of California, Los Angeles(UCLA) score were used to evaluate clinical effect. RESULTS: All patients were followed up from 8 to 21 months with an average of (11.5±3.8) months. Fracture healing time ranged from 2 to 4 months with an average of(3.3±0.9) months. No complications such as poor incision healing and joint adhesion occurred. Constant Murley score of shoulder joint was increased from(56.20±1.50) preoperativly to(94.80±2.60) at 12 months after operation(t=-55.42, P<0.01), and 38 patients got excellent result and 1 good. UCLA score was increased from(9.24±1.48) preoperativly to(32.82±1.37) at 12 months after operation(t=-65.67, P<0.01), and 37 patients got excellent result, and 2 good. CONCLUSION Arthroscopic suture bridge technique for the treatment of greater tuberosity fracture of humerus could significantly reduce pain and improve function of shoulder.
Adult ; Aged ; Female ; Fractures, Avulsion ; Humans ; Humerus/surgery* ; Male ; Middle Aged ; Shoulder Fractures/surgery* ; Sutures ; Treatment Outcome ; Young Adult