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find Author "QIN Xia" 2 results
  • Bibliometric and visual analysis of English literature on integrated elderly care and medical services with CiteSpace software

    Objective To analyze the advancement and trends of English literature on elderly integrated care, and provide a reference for related research and practice in China. Methods Web of Science database was searched for English literature on elderly integrated care published between 1977 and 2000, and then CiteSpace software was applied to analyze and graphically present the articles to understand the chronological development, publishing institutions, research hotspots, key articles and so on. Results A total of 1177 English research papers on elderly integrated care were included. The yearly quantity of articles increased significantly since 2016. More than 100 articles had origin in the Unite State of America, the Netherland, the United Kingdom, and Canada, respectively; the organizations of those researches were mainly single programs, and the research fields were relatively scattered. The high-frequency keywords of these articles were health care, quality of life, primary care, home care, community, chronic disease, long term care, mental health, etc, and the burst terms were long term care, case management, quality of life, community, rehabilitation, telehealth, all inclusive care, etc. According to the centrality of co-citation clustering, the top one article was World Report on Ageing and Health published by the World Health Organization. Conclusions Elderly integrated care has been paid increasing international attention. In recent years, integrated care, transitional care, case management and telecare have become research hotspots. With the key policies of people-centred and integrated health services, primary care, and community-level interventions, typical countries have developed basic models of elderly integrated care. The above theories and experiences can provide references for the practice of elderly integrated care in China.

    Release date:2022-01-27 09:35 Export PDF Favorites Scan
  • Application of self-assessment of pain in perioperative pain management of total knee arthroplasty

    Objective To explore the effect of self-assessment of pain in perioperative pain management of total knee arthroplasty (TKA). Methods A total of 140 patients undergoing TKA from March 2016 to March 2017 were randomly divided into the control group and the trial group. The patients in the two groups were received the same education relating to pain knowledge. The intensity of pain was assessed by nurses in the control group, while in the trial group, it was assessed by patients themselves. According to the assessment of pain, treatments were given to both groups. Time of pain assessment, types and frequencies of temporary rescue medicine, pain intensity, the score of Self-efficacy for Rehabilitation Outcome Scale (SER) and the range of motion (ROM) of knee were observed and recorded. Results There were 132 patients who completed the final observation, with 67 in the trial group and 65 in the control group. There were significant differences between the two groups in evaluation time of pain (t=–2.736, P=0.007), types and frequencies of temporary rescue medicine (χ2=10.276, P<0.05), the overall postoperative pain score (Z=–2.146, P=0.032), average hospitalization time after surgery (t=–2.468, P=0.015), SER scores 7 days after surgery (F=2.390, P=0.018) and 14 days after surgery (F=3.427, P=0.001), and ROM at the postoperative day 7 (F=2.109, P=0.037); there were no significant differences in postoperative daily pain scores (Z=–1.779, P=0.077), SER scores at the postoperative day 3 (F=1.010, P=0.314), ROM at the postoperative day 1 (F=1.319, P=0.189) and day 14 (F=1.603, P=0.111). Conclusion Self-assessment of pain can motivate TKA patients to take part in pain management, and more accurate response to the pain intensity will help to optimize the management of perioperative pain and reduce the workload of the health staff, thereby contributing to enhanced recovery.

    Release date:2017-09-22 03:44 Export PDF Favorites Scan
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