ObjectiveTo systematically review the economy of non-pharmaceutical interventions (NPIs) for COVID-19. MethodsThe Web of Science, PubMed, EMbase, Cochrane Library, INAHTA, CNKI, WanFang Data and SinoMed databases were electronically searched to collect studies on health economic evaluations from 1 January 2020 to 20 August 2022. Then the included materials were reviewed, extracted and data integration analysis were conducted based on inclusion and exclusion criteria. ResultsSeventy-one academic publications were finally included, which contained 25 papers about nucleic acid testing, antigen testing and screening, 5 papers about personal protection, 12 papers about social distancing, quarantine and isolation, 11 papers about regional or national lockdown and 18 papers about multiple NPIs. The results showed that compared with no intervention, nucleic acid testing, antigen testing, screening and personal protection measures were economical. Social distancing, quarantine and isolation were also economical compared with no intervention. However, in low-income countries, movement restriction and factory shutdown may exact a heavy toll on the poorest and most vulnerable. Moreover, compared with a single long-term lockdown, multiple short-term lockdowns could be more economical, but the cost was still huge overall. ConclusionNPIs such as nucleic acid testing, antigen testing, personal protection, social distancing, quarantine, isolation and factory shutdown are economical. Although regional or national lockdown can save lives, it is not suitable for wide use. The researches on specific populations, specific variants (especially Omicron) and in the context of China need to be carried out.
Objective To evaluate and summarize the evidence related to non-pharmacological interventions in community-dwelling elderly with sarcopenia and to provide an evidence-based basis for guiding community health professionals to effectively manage older patients with sarcopenia. Methods We searched all evidence about non-pharmacological interventions in community-dwelling elderly with sarcopenia from BMJ Best Practice, UpToDate, Guidelines International Network, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, Registered Nurses' Association of Ontario, Canadian Medical Association Clinical Practice Guidelines Infobase, American Society for Nutrition, Australian JBI Evidence-Based Health Care Centre Database, CINAHL, PubMed, Cochrane Library, Web of Science, CBM, CNKI, WanFang Data and VIP Databases. The types of literature included guidelines, expert consensus, systematic reviews, evidence summaries and meta-analyses. The retrieval time ranged from January 1, 2019 to May 31, 2024. Results A total of 14 publications were included, including 2 guidelines, 3 expert consensuses, and 9 systematic reviews. Twenty-four pieces of evidence were summarized in 3 areas, including screening, assessment, and non-pharmacological interventions for sarcopenia. Conclusion We summarize the best evidence for initial screening, systematic assessment, and comprehensive non-pharmacological interventions for elderly patients with sarcopenia in the community, and provide a guidance and reference for community medical staff to efficiently manage elderly patients with sarcopenia.
ObjectivesTo assess the efficacy of non-drug interventions on improving sleep quality in ICU patients by network meta-analysis.MethodsThe Cochrane Library, PubMed, EMbase, Web of Science, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect randomized controlled trials (RCTs) on non-drug interventions on improving sleep quality in ICU patients from inception to December, 2018. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies, then, network meta-analysis was performed by using the Stata 13.0 software.ResultsA total of 12 RCTs, involving 1 223 patients and 9 non-pharmacological interventions (music therapy, comprehensive nursing intervention, TCM emotions, music therapy+TCM emotions, Chinese medicine pillow therapy, ear acupressure, eye mask+earplugs+music, eye mask+earplugs, regular care) were included. The results of Pittsburgh sleep quality index (PSQI) showed that eye mask+earplugs, eye masks, and comprehensive nursing interventions were superior to conventional care in improving sleep quality in ICU patients, and the rankings were: eye mask+earplugs>eye mask>comprehensive nursing intervention, music therapy+TCM emotional>Chinese medicine emotional>music therapy>general care. The results of Richards-Campbell sleep scale (RCSQ) showed that eye mask+earplugs+music, Chinese medicine pillow therapy, and auricular pressure beans were superior to conventional care, and the rankings were: eye mask+earplugs+music>Chinese medicine pillow therapy>music therapy>ear acupressure beans>general care.ConclusionsThe evidence shows that in improving the sleep quality of ICU patients, eye mask + earplug, eye mask, comprehensive nursing intervention, music therapy + TCM emotional characteristics may all be effective intervention methods. It is suggested that more non-drug interventions should be carried out in the future for enhancing the sleep quality of ICU patients.
ObjectiveTo evaluate the efficacy of different non-pharmacological interventions on cognitive function in elderly patients with mild cognitive impairment by the network meta-analysis. MethodsThe PubMed, Embase, Cochrane Library, CINAHL, CNKI, WanFang Data, VIP and CBM databases were electronically searched to collect randomized controlled trials (RCTs) related to the objectives from inception to November 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. The network meta-analysis was then performed by using Stata 16.0 and Open BUGS 3.2.3 software. ResultsA total of 43 RCTs involving 2 986 patients were included, which involved 8 non-drug intervention methods. The best probability ranking results of the network meta-analysis showed that on the simple mental state scale (MMSE) scores: rTMS > acupressure > acupuncture therapy > exercise therapy > cognitive training > multicomponent intervention > VR > conventional care > health education, and on the Montreal cognitive assessment scale (MoCA) scores: VR > exercise therapy > rTMS > acupuncture therapy > acupressure > cognitive training > health education > conventional care. Conclusion Current evidence shows that rTMS, acupressure, VR, exercise therapy and acupuncture may be effective interventions to improve cognitive function in elderly patients with mild cognitive impairment. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
ObjectiveTo systematically review the efficacy of non-pharmacological interventions to reduce fear of childbirth. MethodsThe Cochrane Library, PubMed, EMbase, Web of Science, CNKI, WanFang Data, VIP, and CBM databases were electronically searched to collect randomized controlled trials (RCTs) of the efficacy of non-pharmacological interventions to reduce fear of childbirth from inception to December 2021. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies; then, a network meta-analysis was performed using Stata 15.0 software. ResultsA total of 19 RCTs involving 3 409 patients were included. Ten non-pharmacological interventions (prenatal education, scenario-based health education, psychological guidance, yoga training, hypnosis, mobile learning education, cognitive behavioral therapy, physical relaxation guidance, breathing guidance, and usual care) were included. The results of the reticulated meta-analysis of the Wijma Delivery Expectancy Questionnaire (W-DEQ-A) showed that the rankings of the interventions were as follows: prenatal education > yoga training > cognitive behavioral therapy > situational simulation health education > psychological guidance > physical relaxation guidance > conventional care. The results of the Wijma Experience of Childbirth Questionnaire (W-DEQ-B) mesh meta-analysis showed that the rankings of the interventions were as follows: mobile learning education > prenatal education > scenario-based health education > cognitive behavioral therapy > breathing instruction > hypnosis > psychological instruction > physical relaxation instruction > usual care. ConclusionThe current evidence suggests that prenatal education, mobile learning education, situational simulation health education, and yoga training may be effective interventions in improving maternal fear of childbirth. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
Exercise intervention is an important non-pharmacological intervention for various diseases, and establishing precise exercise load assessment techniques can improve the quality of exercise intervention and the efficiency of disease prevention and control. Based on data collection from wearable devices, this study conducts nonlinear optimization and empirical verification of the original "Fitness-Fatigue Model". By constructing a time-varying attenuation function and specific coefficients, this study develops an optimized mathematical model that reflects the nonlinear characteristics of training responses. Thirteen participants underwent 12 weeks of moderate-intensity continuous cycling, three times per week. For each training session, external load (actual work done) and internal load (heart rate variability index) data were collected for each individual to conduct a performance comparison between the optimized model and the original model. The results show that the optimized model demonstrates a significantly improved overall goodness of fit and superior predictive ability. In summary, the findings of this study can support dynamic adjustments to participants' training programs and aid in the prevention and control of chronic diseases.
Objective To retrieve and summarize evidence of non-pharmacological interventions for sleep disorders in patients with osteoarthritis (OA), and to organize and evaluate the extracted evidence to provide evidence-based interventions for sleep disorders in patients with OA. Methods The relevant literature on non-pharmacological interventions for sleep disorders in patients with OA in BMJ Best Practice, UpToDate, JBI evidence-based healthcare center database, National Institute for Health and Clinical Excellence, Registered Nurses’ Association of Ontario, Guidelines International Network, Medlive guidelines network, Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure and Wanfang was systematically searched. The search deadline was June 30th, 2024. The retrieved results were integrated and analyzed to form evidence of non pharmacological interventions for sleep disorders in patients with OA. Results A total of 13 articles were included, including 1 evidence report, 5 guidelines, 2 expert consensus papers, 3 systematic reviews, and 2 randomized controlled trials. The summarized evidence involves six aspects of sleep screening, specialist visits, assessment tools, cognitive behavioral therapy, exercise therapy, and other measures, totaling 20 pieces of evidence. Conclusion Non-pharmacological interventions for sleep disorders of patients with OA include multiple aspects, and this evidence can provide theoretical basis for developing intervention plans for sleep disorder of patients with OA, thereby improving their sleep quality and enhancing quality of life.
Objective To evaluate the effect of different non-pharmacological interventions on the cognitive function of elderly people with cognitive decline, and provide useful reference for improving cognitive function of the elderly. Methods Computer searches of PubMed, Embase, the Cochrane Library, Web of Science, China National Knowledge Infrastructure, VIP Database, Wanfang Data, and China Biomedical Literature Database for randomized controlled trials on non-pharmacological interventions for aged adults with cognitive decline were conducted, all with a search time frame from database inception to October 9th, 2023. Literature screening, information extraction and bias risk assessment using RevMan 5.4 software were performed by two evaluators independently, and Stata 16.0 and R 4.3.0 software was used for network meta-analysis. Results A total of 27 articles involving 2149 elderly patients and 7 intervention protocols were included. Among the 27 articles, 8 were graded A and 19 were graded B for quality. The network meta-analysis revealed that, using the Montreal Cognitive Assessment (MoCA) as the evaluating metric, virtual reality [mean difference (MD)=6.01, 95% confidence interval (CI) (0.90, 10.75)], cognitive training [MD=4.99, 95%CI (0.56, 9.12)], and exercise training [MD=3.88, 95%CI (0.47, 7.27)] were better than community services, respectively (P<0.05), and exercise training was also better than conventional care [MD=3.05, 95%CI (0.92, 5.12), P<0.05]; using the Mini-Mental State Examination (MMSE) as the evaluation indicator, multimodal exercise [MD=3.00, 95%CI (0.89, 4.96)], cognitive training [MD=2.50, 95%CI (0.27, 4.82)], traditional Chinese exercise [MD=2.30, 95%CI (0.34, 4.28)], psychotherapy [MD=1.76, 95%CI (0.56, 2.96)], and exercise training [MD=1.36, 95%CI (0.18, 2.59)] were better than conventional care, respectively (P<0.05), and multimodal exercise [MD=3.32, 95%CI (0.62, 5.81)], cognitive training [MD=2.82, 95%CI (0.75, 4.90)], and traditional Chinese exercise [MD=2.63, 95%CI (0.08, 5.13)] were also better than community service, respectively (P<0.05). The results of the cumulative probability ranking showed that virtual reality had the highest probability of being the best intervention in terms of improving MoCA metrics (0.863), and multimodal exercise had the highest probability of being the best intervention in terms of improving MMSE metrics (0.868). Conclusion Using MoCA as an evaluation indicator, virtual reality may be the best non-pharmacological intervention; using MMSE as an evaluation indicator, multimodal exercise may be the best non-pharmacological intervention.
ObjectiveTo systematically review the efficacy and safety of non-pharmacological interventions for sleep disturbance in dementia, and to provide evidence for clinical practice.MethodsDatabases including CNKI, WanFang Data, VIP, PubMed, EMbase and The Cochrane Library were searched to collect randomized controlled trials (RCTs) on non-pharmacological interventions for sleep disturbance in dementia from inception to May 2020. Two reviewers independently screened literature, extracted data, and assessed risk of bias of included studies. Meta-analysis was then performed using RevMan 5.3 software.ResultsA total of 9 RCTs were included, involving 720 patients. Light therapy was the most commonly used treatment, followed by special activity and sleep education program. The results of meta-analysis showed that compared with the control intervention, light therapy could improve sleep efficiency (MD=2.21, 95%CI 1.09 to 3.33, P=0.0001) and the night-time sleep (MD=14.27, 95%CI 5.01 to 23.53, P=0.003) of patients with dementia in the community and nursing institutions, special activity could increase the night-time sleep (MD=29.74, 95%CI 20.44 to 39.04, P<0.00001), and sleep education program could also improve sleep efficiency (MD=6.19, 95%CI 5.22 to 7.16, P<0.00001) and night-time sleep (MD=33.95, 95%CI 25.40 to 42.50, P<0.00001). In addition, it was superior to obtain 120 or 60 minutes of light exposure than 30 minutes to improve the quality of sleep (RR=−2.62, 95%CI −3.56 to −1.68, P<0.001) and reduce daytime sleep (RR=−4.75, 95%CI −5.71 to −3.42, P<0.001). However, there was significant difference in incidence of adverse reactions between groups of 120 minutes and 30 minutes of light exposure (RR=2.57, 95%CI 1.44 to 4.58, P=0.001).ConclusionsThe current evidence shows that non-pharmacological intervention can improve sleep efficiency and night-time sleep in patients with dementia. Due to limited quantity and quality of the included studies, more high quality studies are required to verify above conclusions.