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ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

A quality control circle to improve preventive care for lower limb lymphedema in gynecologic oncology surgery.

Danqing Ren, Lele Zang, Wenyuan Chen, Hailian Huang, Mei Lin, Suyu Li, Na Lin, Qiuyuan Huang

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Danqing RenDepartment of Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, China.
Lele ZangDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Wenyuan ChenDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Hailian HuangDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Mei LinDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Suyu LiDepartment of Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, China.
Na LinDepartment of Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, China.
Qiuyuan HuangDepartment of Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, China. 916856527@qq.com.

Funding

the Fujian Provincial Natural Science Foundation 2023J011250
6 · The paper itself

Abstract

objectiveThis study aims to enhance compliance with lower limb lymphedema (LLL) prevention care measures post-gynecologic oncology surgery (GOS) through quality control circle (QCC) activity, aiming to improve patient recovery outcomes and reduce postoperative complications.

methodsA 6-month QCC activity was conducted within the hospital, employing the ten-step plan-do-check-act model for QCC activity. The root causes of inadequate implementation of LLL prevention care measures were analyzed, leading to the development of relevant strategies and protocols. Compliance rates of preventive care measures pre- and post-QCC activity were compared.

resultsThe focus of this improvement initiative was on "inadequate postoperative preventive measures" and "lack of standardized discharge preventive measures." Strategies included ensuring nurses proficiently assess LLL following gynecologic malignancy surgeries, enhancing standardized preventive measures for LLL post-GOS, and establishing personalized and diversified education models. Following the implementation of QCC activity, there was a significant improvement in the compliance rate of LLL prevention care measures. The compliance rate increased from 74.00% before the activity to 92.80%, surpassing the target rate by 119.00%, with an improvement rate of 25.40%. Comprehensive evaluations of circle members' abilities showed significant improvement, with notable increases in problem-solving abilities, initiative, and confidence.

conclusionImplementation of QCC activity resulted in a substantial improvement in compliance with LLL prevention care measures following GOS, ensuring safer and more effective patient care services.

Indexed as

Genital Neoplasms, FemaleLower ExtremityLymphedemaPostoperative ComplicationsFemaleGuideline AdherenceGynecologic Surgical ProceduresHumansQuality ControlQuality ImprovementCompliance improvementGynecologic cancerLower limb lymphedemaPreventive care measuresQuality control circle

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.