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Ye Z, Lai H, Ning J, Liu J, Huang J, Yang S, Jin J, Liu Y, Liu J, Zhao H, Ge L. Traditional Chinese medicine for insomnia: Recommendation mapping of the global clinical guidelines. JOURNAL OF ETHNOPHARMACOLOGY 2024; 322:117601. [PMID: 38122913 DOI: 10.1016/j.jep.2023.117601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/07/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Traditional Chinese Medicine (TCM) represents a rich repository of empirically-developed traditional medicines. The findings call for more rigorous study into the efficacy, safety, and mechanisms of action of TCM remedies to strengthen the evidence base. AIM OF THE STUDY To systematically review the quality of insomnia clinical practice guidelines that involve TCM recommendations and to summarize the certainty of evidence supporting the recommendations, strength, and consistency of recommendations, providing valuable research references for the development of future insomnia guidelines. MATERIALS AND METHODS We systematically searched PubMed, Web of Science, Embase, CNKI, Wanfang, Chinese Biomedical Literature Database, Chinese Medical Association, Chinese Sleep Research Society, Medsci, Medlive, British National Institute of Health and Clinical Excellence (NICE), and the International Guidelines Collaboration Network (GIN) for clinical practice guidelines on insomnia from inception to March 5, 2023. Four evaluators conducted independent assessments of the quality of the guidelines by employing the AGREE II tool. Subsequently, the guideline recommendations were consolidated and presented as evidence maps. RESULTS Thirteen clinical practice guidelines addressing insomnia, encompassing 211 recommendations (consisting of 127 evidence-based and 84 expert consensus recommendations), were deemed eligible for inclusion in our analysis. The evaluation results revealed an overall suboptimal quality, with the "scope and purpose" domain achieving the highest score (58.1%), while the "applicability" domain garnered the lowest score (13.0%). Specifically, it was observed that 74.8% (n = 95) of the evidence-based recommendations were supported by evidence of either very low or low certainty, in contrast to the expert consensus recommendations, which accounted for 61.9% (n = 52). We subsequently synthesized 44 recommendations into four evidence maps, focusing on proprietary Chinese medicines, Chinese medicine prescriptions, acupuncture, and massage, respectively. Notably, Chinese herbal remedies and acupuncture exhibited robust support, substantiated by high-certainty evidence, exemplified by interventions such as Xuefu Zhuyu decoction, spleen decoction, body acupuncture, and ear acupuncture, resulting in solid recommendations. Conversely, proprietary Chinese medicines needed more high-certainty evidence, predominantly yielding weak recommendations. As for other therapies, the level of certainty was predominantly categorized as low or very low. Recommendations about magnetic therapy, bathing, and fumigation relied primarily on expert consensus, needing more substantive clinical research evidence, consequently forming weak recommendations. Hot ironing and acupoint injection recommendations were weakly endorsed, primarily based on observational studies. Furthermore, interventions like qigong, gua sha, and moxibustion displayed a relatively limited number of clinical studies, necessitating further exploration to ascertain their efficacy. CONCLUSIONS Our analysis revealed a need for substantial improvement in the quality of all the included guidelines related to insomnia. Notably, recommendations for Traditional Chinese Medicine (TCM) treatments predominantly rely on low-certainty evidence. This study represents a pioneering effort in the utilization of recommendation mapping to both present and identify existing gaps in the evidence landscape within TCM therapies, thus setting the stage for future research initiatives. The evidence supporting TCM therapy recommendations must be fortified to achieve a more substantial level of recommendation and higher certainty. Consequently, there exists a critical and pressing demand for high-quality clinical investigations dedicated to TCM, with a specific focus on ascertaining its long-term efficacy, safety, and potential side effects in the context of insomnia treatment. These endeavors are poised to establish a robust scientific foundation to inform the development of TCM therapy recommendations within the insomnia guidelines.
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Affiliation(s)
- Ziying Ye
- Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
| | - Honghao Lai
- Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
| | - Jinling Ning
- Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
| | - Jianing Liu
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, China
| | - Jiajie Huang
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, China
| | - Sihong Yang
- Institute of Basic Research of Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China; China Center for Evidence Based Traditional Chinese Medicine, Beijing, China
| | - Jiayue Jin
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China; Beijing University of Chinese Medicine, Beijing, China
| | - Yajie Liu
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jie Liu
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Hui Zhao
- Institute of Basic Research of Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China; China Center for Evidence Based Traditional Chinese Medicine, Beijing, China.
| | - Long Ge
- Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China; Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China; World Health Organization Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou, China.
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Wang Z, Fan J, Chen L, Xie L, Huang L, Ruan Y, Xu X, Liang Z. Strategies to preventing pressure injuries among intensive care unit patients mechanically ventilated in prone position: a systematic review and a Delphi study. Front Med (Lausanne) 2023; 10:1131270. [PMID: 37644983 PMCID: PMC10461099 DOI: 10.3389/fmed.2023.1131270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Background Although the incidence of pressure injury in the prone position is high for the mechanically ventilated patients in the intensive care unit, evidence-based strategies are still lacking. Propose To conduct a systematic review of current evidence, and to propose a series of strategies to prevent pressure injuries among mechanically ventilated patients with prone position in the intensive care unit. Methods The study was guided by the Medical Research Council framework. After a systematic review of current evidence of original articles, guidelines, expert consensus and theories, a strategy draft was developed. Then we invited 20 experts to modify and refine these strategies through two rounds of Delphi consensus method. Results After two rounds of Delphi process, the importance of coefficient of variation (Cv) and Kendall's coefficient of concordance in the strategies repository were 0.067 and 0.311, respectively. And the operability of Cv and Kendall's coefficient of concordance in the strategy draft was 0.055 and 0.294, respectively. Ultimately, we established 31 strategies for including 7 themes (assess risk factors, assess skin and tissue, body position management, skin care, nutrition, preventing medical device-related pressure injuries, education and supervision). In addition, we also developed a strategy framework to clarify our strategies. Conclusion According to the Medical Research Council framework, we developed 7 themes and 31 strategies to prevention prone-position pressure injuries among the intensive care unit mechanically ventilated patients. This study was considered to improve the clinical management of pressure injuries among prone position patients in the intensive care unit settings.
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Affiliation(s)
- Zonghua Wang
- Department of Clinical Nursing, School of Nursing, Army Medical University, Chongqing, China
| | - Jiangshan Fan
- Department of Clinical Nursing, School of Nursing, Army Medical University, Chongqing, China
| | - Ling Chen
- Department of Emergency, The 958th Hospital of PLA, The Affiliated Hospital of Southwest Hospital, Army Medical University, Chongqing, China
| | - Langlang Xie
- Department of Clinical Nursing, School of Nursing, Army Medical University, Chongqing, China
| | - Lingfang Huang
- Department of Clinical Nursing, School of Nursing, Army Medical University, Chongqing, China
| | - Yang Ruan
- Department of Outpatient, The 79th Hospital of Group Army, Liaoning, China
| | - Xia Xu
- Department of Health Management and Geriatric Nursing, Daping Hospital, Chongqing, China
| | - Zeping Liang
- Department of Nursing, Daping Hospital, Chongqing, China
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