OBJECTIVE:To evaluate the effects of PDCA cycle management on perioperative prophylactic application of antibiotics in typeⅠincision surgery of orthopedics department. METHODS:In retrospective analysis,512 discharge medical records, 861 ones and 1 070 ones were selected from our hospital before PDCA cycle management(Jan.-Dec. 2013,before intervention group), after first cycle of PDCA cycle management (Jan.-Dec. 2014,first intervention group) and after second cycle of PDCA cycle management(Jan.-Dec. 2015,second intervention group),respectively. The perioperative prophylactic application of antibiotics was analyzed comparatively before and after continuous intervention. RESULTS:After 2 cycles of PDCA cycle management intervention, the constituent ratio of internal fixation in orthopedics department increased significantly;utilization ratio of antibiotics,the rate of rational type,medication ratio 0.5-1 h before surgery,the rate of rational treatment course,the proportion of antibiotics use in accordance with indications increased from 50.20%,98.08%,93.77%,6.61%,82.10% to 58.41%,100%,99.04%,52.00%, 99.04%,respectively. The number of antibiotics type decreased from 4 to 2;the proportion of cephazolin increased significantly while that of clindamycin decreased significantly compared to before intervention. Postoperative prophylactic medication course decreased from(4.63 ± 2.42)d to(1.61 ± 0.75)d;the proportion of patients with medication course <24 h or ranged 24-48 h increased significantly, while those with medication course>72 h decreased significantly, with statistical significance (P<0.05). CONCLUSIONS:PDCA cycle management improves the rational rate of perioperative prophylactic application of antibiotics in typeⅠincision surgery of orthopedics department in our hospital. The prophylactic medication course of our hospital is not yet fully controlled within 24 h so it should be further intervened.

Objective To develop a data glove evaluation system to assist rehabilitation physicians and therapists in assessing the degree of rehabilitation of hand-wounded patients. Methods A data glove containing 136-axis inertial sensors was designed and produced. It was tested on 10 healthy subjects and 3 hand trauma pa-tients admitted to the Department of Rehabilitation Medicine at Run Run Shaw Hospital. The glove transmitted ac-celeration and angular velocity components in the X, Y and Z directions to a computer terminal, allowing the ben-ding angles of the subject′s finger joints to be calculated. Traditional protractor measurements were used to verify to what extent the data glove accurately reflected the hand and joint activity. Results Compared with the traditional protractor measurement method, the data glove quickly gave accurate maximum bending angles both in healthy and hand-wounded subjects . Such data can facilitate the rehabilitation of hand injuries. Conclusions The data glove produced in this study can effectively assist rehabilitation doctors and therapists in assessing the recovery of hand-injured patients.