Reproductive Concerns Among Young Adult Women With Breast Cancer: A Systematic Review and Meta-Analysis.

OBJECTIVES: Systemic cancer treatments pose threats to fertility, leading to concerns regarding fertility and parenthood in young adult women with breast cancer (YAWBC). This systematic review aimed to synthesize existing evidence on reproductive concerns (RCs) among YAWBC and identify areas where further research in needed. METHODS: A systematic review was conducted. Nine English and Chinese databases were searched for studies from inception to June 2023. A meta-analysis was employed to pool RC levels measured using the Reproductive Concerns After Cancer scale (RCAC scale; possible total scores: 18-90). Narrative synthesis was conducted in cases where a meta-analysis could not be performed. RESULTS: Twenty-four cross-sectional studies across seven countries were included in this review. The prevalence of RCs among YAWBC ranged from 21.75% to 80%. The pooled mean total score on the overall RCAC scale was 55.84 (95% confidence interval: 53.26-58.43). "Personal health," "child's health," and "fertility potential" were the top three types of RCs among YAWBC. Sociodemographic, clinical, and psychosocial factors were found to be associated with RCs among YAWBC. Additionally, significant correlations among RCs, nonadherence to treatment, depression, and quality of life were also identified among YAWBC. CONCLUSION: RCs are a common issue among YAWBC, and age, parenthood status, fertility desire, and chemotherapy treatment are important factors associated with RCs among these women. Further research is needed to clarify RC-related factors to provide evidence aimed at tailoring interventions to mitigate RCs among YWBC.

Immediate, Short-term, Medium-term, and Long-term effects of Acceptance and Commitment Therapy for Smoking Cessation: A Systematic Review and Meta-Analysis.

INTRODUCTION: Acceptance and commitment therapy (ACT) is increasingly being studied as a treatment for smoking cessation. However, its immediate, short-, and long-term effects have rarely been reviewed. METHODS: This systematic review aimed to evaluate the effectiveness of immediate, short-, medium-, and long-term smoking cessation rates in ACT and comparators at less than 3-month, 3 to 4-month, 6-, and 12-month follow-ups. Randomized controlled trials (RCTs) were searched in eight databases until April 20, 2023. We assessed the quality of RCTs and the certainty of evidence of outcomes. RESULTS: Nineteen RCTs involving 7885 smokers across six countries were included. The majority (72.81%) of RCTs were graded as low risk across six domains. For complete-case outcomes, meta-analyses were conducted, and the results revealed a significant effect in favor of ACT [risk ratio: 1.70-1.80 at <3-month, 3 to 4-month, and 6 months follow-up] compared with comparators. For outcomes using missing data management, meta-analyses found an overall effect in favor of ACT, but a significant effect was found at 3 to 4-months only. However, 12-month follow-ups revealed no significant reduction in smoking cessation for both outcomes. Moderate and substantial heterogeneities were found among four meta-analyses that may lead to inaccurate estimates of effects. The certainty of evidence of all outcomes was rated as low and very low. CONCLUSION: ACT may be an effective intervention for smoking cessation with immediate, short-term, and medium-term effects. Caution must be applied in the interpretation of the results due to the limited trials and low certainty of evidence. IMPLICATION: ACT can be implemented adjuvant to the usual treatment for smoking cessation. Additional RCTs with follow-up data using biochemically verified measures in non-US countries are warranted.

Effectiveness of near-infrared light devices for peripheral intravenous cannulation in children and adolescents: A meta-analysis of randomized controlled trials.

OBJECTIVES: To examine the effectiveness of near-infrared light devices (NIR) on procedure time of successful cannulation, success rate at the first attempt, and pain scores among pediatric patients and explore potential covariates on the intervention effect. BACKGROUND: Pediatric patients have encountered a high failure rate as compared with adult patients using traditional cannulation. NIR devices might help to access veins with an optimum viewing area and eliminate the number of attempts. However, methodological limitations and inconsistent results from previous reviews were found. METHODS: A three-step comprehensive search was performed in nine databases. Meta-analysis, subgroup, and meta-regression analyses were conducted. Individual quality assessment and certainty of evidence were assessed using the Cochrane risk of bias tool and the Grading of Recommendations, Assessments, Development, and Evaluation criteria, respectively. RESULTS: We included 18 randomized controlled trials (RCTs) with 5298 children and adolescents across nine countries. NIR light devices significantly reduce -29.43 s of procedure time and -0.47 attempts of peripheral intravenous cannulation compared with traditional methods. Subgroup analysis observed a significantly large effect size on procedure time using AccuVein with pre-procedure training at the clinics. However, NIR light devices do not significantly decrease the procedure time, first attempt success rate, and pain scores. Meta-regression identified sample size as a significant covariate that had an impact on the success rate at the first attempt. CONCLUSIONS: The near-infrared light device can statistically significantly reduce the procedure time and the number of attempts. Given the low or very low certainty of the evidence, future well-designed RCTs are necessary.

Nursing students' readiness towards the 'new normal' in clinical practice: a distributed cognition qualitative perspective.

BACKGROUND: Clinical practicums are a core component of baccalaureate nursing education. Following the coronavirus pandemic, there have been extensive changes in the workforce environment that may potentially affect nursing students' experience and readiness for clinical practicums. METHODS: A qualitative study was conducted to explore final-year nursing students' experiences and readiness for their final clinical practicum before becoming a registered nurse. A purposive sample of 24 final-year baccalaureate nursing students was included in this study. Individual semi-structured interviews were conducted face-to-face via Zoom. The data was analysed using an inductive thematic analysis approach. RESULTS: Three themes depicting students' experiences and clinical readiness were elucidated. The themes included: (1) Experiencing multiple concerns, (2) requiring a network of support, and (3) easing the transition to professional practice. Students considered the final clinical practicum as challenging and demanding which evoked numerous concerns. CONCLUSIONS: Considering the stress that final-year nursing students experience, it will be important to devise strategies ranging from personal, relational, and environmental protective factors to enable their successful transition and completion of clinical practice.

Social media-based interventions for adults with obesity and overweight: a meta-analysis and meta-regression.

Social isolation and loneliness are growing public health concerns in adults with obesity and overweight. Social media-based interventions may be a promising approach. This systematic review aims to (1) evaluate the effectiveness of social media-based interventions on weight, body mass index, waist circumference, fat, energy intake and physical activity among adults with obesity and overweight and (2) explore potential covariates on treatment effect. Eight databases, namely, PubMed, Cochrane Library, Embase, CINAHL, Web of Science, Scopus PsycINFO and ProQuest, were searched from inception until December 31, 2021. The Cochrane Collaboration Risk of Bias Tool and Grading of Recommendations, Assessment, Development and Evaluation criteria evaluated the evidence quality. Twenty-eight randomised controlled trials were identified. Meta-analyses found that social media-based interventions had small-to-medium significant effects on weight, BMI, waist circumference, body fat mass and daily steps. Subgroup analysis found greater effect in interventions without published protocol or not registered in trial registries than their counterparts. Meta-regression analysis showed that duration of intervention was a significant covariate. The certainty of evidence quality of all outcomes was very low or low. Social media-based interventions can be considered an adjunct intervention for weight management. Future trials with large sample sizes and follow-up assessment are needed.

Overground Robotic Exoskeleton Training for Patients With Stroke on Walking-Related Outcomes: A Systematic Review and Meta-analysis of Randomized Controlled Trials.

OBJECTIVE: This review aims to evaluate the effectiveness of solely overground robotic exoskeleton (RE) training or overground RE training with conventional rehabilitation in improving walking ability, speed, and endurance among patients with stroke. DATA SOURCES: Nine databases, 5 trial registries, gray literature, specified journals, and reference lists from inception until December 27, 2021. STUDY SELECTION: Randomized controlled trials adopting overground robotic exoskeleton training for patients with any phases of stroke on walking-related outcomes were included. DATA EXTRACTION: Two independent reviewers extracted items and performed risk of bias using the Cochrane Risk of Bias tool 1 and certainty of evidence using the Grades of Recommendation Assessment, Development, and Evaluation. DATA SYNTHESIS: Twenty trials involving 758 participants across 11 countries were included in this review. The overall effect of overground robotic exoskeletons on walking ability at postintervention (d=0.21; 95% confidence interval [CI], 0.01, 0.42; Z=2.02; P=.04) and follow-up (d=0.37; 95% CI, 0.03, 0.71; Z=2.12; P=.03) and walking speed at postintervention (d=0.23; 95% CI, 0.01, 0.46; Z=2.01; P=.04) showed significant improvement compared with conventional rehabilitation. Subgroup analyses suggested that RE training should combine with conventional rehabilitation. A preferable gait training regime is <4 times per week over ≥6 weeks for ≤30 minutes per session among patients with chronic stroke and ambulatory status of independent walkers before training. Meta-regression did not identify any effect of the covariates on the treatment effect. The majority of randomized controlled trials had small sample sizes, and the certainty of the evidence was very low. CONCLUSION: Overground RE training may have a beneficial effect on walking ability and walking speed to complement conventional rehabilitation. Further large-scale and long-term, high-quality trials are recommended to enhance the quality of overground RE training and confirm its sustainability.

A hybrid systematic narrative review of instruments measuring home-based care nurses' competency.

AIM: The aim of the study was to identify and synthesize the contents and the psychometric properties of the existing instruments measuring home-based care (HBC) nurses' competencies. DESIGN: A hybrid systematic narrative review was performed. REVIEW METHODS: The eligible studies were reviewed to identify the competencies measured by the instruments for HBC nurses. The psychometric properties of instruments in development and psychometric testing design studies were also examined. The methodological quality of the studies was evaluated using the Medical Education Research Study Quality Instrument and COSMIN checklist accordingly. DATA SOURCES: Relevant studies were searched on CINAHL, MEDLINE (via PubMed), EMBASE, PsychINFO and Scopus from 2000 to 2022. The search was limited to full-text items in the English language. RESULTS: A total of 23 studies reporting 24 instruments were included. 12 instruments were adopted or modified by the studies while the other 12 were developed and psychometrically tested by the studies. None of the instruments encompassed all of the 10 home-based nursing care competencies identified in an earlier study. The two most frequently measured competencies were the management of health conditions, and critical thinking and problem-solving skills, while the two least measured competencies were quality and safety, and technological literacy. The content and structural validity of most instruments were inadequate since the adopted instruments were not initially designed or tested among HBC nurses. CONCLUSION: This review provides a consolidation of existing instruments that were used to assess HBC nurses' competencies. The instruments were generally not comprehensive, and the content and structural validity were limited. Nonetheless, the domains, items and approaches to instrument development could be adopted to develop and test a comprehensive competency instrument for home-based nursing care practice in the future. IMPACT: This review consolidated instruments used to measure home-based care nurses' competency. The instruments were often designed for ward-based care nurses hence a comprehensive and validated home-based nursing care competency instrument is needed. Nurses, researchers and nursing leaders could consider the competency instruments identified in this review to measure nurses' competencies, while a home-based nursing care competency scale is being developed. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution was required in this review.

Use of artificial intelligence techniques for detection of mild cognitive impairment: A systematic scoping review.

AIMS AND OBJECTIVES: The objective of this scoping review is to explore the types and mechanisms of Artificial intelligence (AI) techniques for detecting mild cognitive impairment (MCI). BACKGROUND: Early detection of MCI is crucial because it may progress to Alzheimer's disease. DESIGN: A systematic scoping review. METHODS: Five-step framework of Arksey and O'Malley was used following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews checklist. A total of 11 databases (PubMed, EMBASE, CINAHL, Cochrane Library, Scopus, Web of Science, IEEE Explore, Science.gov, ACM digital library, arXIV and ProQuest) was used to search from inception till 17th December 2021. Grey literature and reference list were searched. Articles screening and data charting were conducted by two independent reviewers. RESULTS: There were a total of 70 articles included from 2011 to 2022 across 16 countries. Four types of AI techniques were found, namely machine learning (ML), deep learning (DL), fuzzy logic (FL) and technique combinations. Herein, ML detects similar pattern within preselected data to classify subjects into non-MCI or MCI groups. Meanwhile, DL performs classification based on data patterns and data analyses are performed by themselves. Furthermore, FL utilises human-defined rules to decide the degree to which a person has MCI. A combination of AI techniques enhances the feature preparation phase for ML or DL to perform accurate classification. CONCLUSION: Although AI-based MCI detection tool is critical for healthcare decision-making, clinical utility and risks remain underexplored. Hopefully, this review equips clinicians with background AI knowledge to address these clinical concerns. Hence, future research should explore more techniques and representative datasets to improve AI development. RELEVANCE TO CLINICAL PRACTICE: Results of this review can increase the knowledge of AI-based MCI detection tools. REVIEW REGISTRATION: This study protocol was registered in the Open Science Framework Registries (https://osf.io/45rdt).

Home-based nursing care competencies: A scoping review.

AIMS AND OBJECTIVES: To identify and consolidate the available evidence about nursing-related competencies for home-based care. BACKGROUND: Over recent years, the demand for home-based nursing care has increased because of the need to meet the increasing need for chronic disease care to be delivered in patients' homes. However, knowledge is lacking about the expected competencies for home-based care nurses. DESIGN: A scoping review was conducted in accordance with Arksey and O'Malley's six-step scoping review framework and the PRISMA-ScR guidelines. The review identified literature using five electronic databases (CINAHL, PubMed, Embase, Cochrane and Scopus) and a hand search for grey literature in relevant home-based care journals and online searches. Key search terms and inclusion and exclusion criteria were used as strategies to identify relevant articles. RESULTS: Sixty-four articles were eligible for inclusion. Mapping and narrative synthesis of 116 elements related to home-based nursing care competencies identified the following 10 competencies: (1) care assessments; (2) performance of nursing procedures; (3) management of health conditions; (4) critical thinking and problem-solving skills; (5) interpersonal relationships and communication; (6) interdisciplinary collaboration; (7) leadership and resource management; (8) professional development; (9) technological literacy; (10) quality and safety. CONCLUSION AND RELEVANCE TO CLINICAL PRACTICE: This review provides insight into current knowledge about home-based nursing care competencies. These competencies could be used to evaluate nurses' competence level for home-based care or for development of appropriate professional education. The review also outlines the scope of nursing practice in home-based care, which provides support for some form of standardisation of home-based nursing care expectations across various stakeholders.

Novel Spinal Cord Stimulation Waveforms for Treating Back and Leg Pain: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: Spinal cord stimulation (SCS) has been suggested as a treatment option to improve the quality-adjusted life years of individuals with low back pain. However, previous reviews have some methodologic limitations. This review aims to evaluate the effectiveness of novel SCS waveforms on pain outcomes in patients with low back pain (LBP) compared with traditional SCS or placebo comparator. MATERIALS AND METHODS: Nine electronic data bases, ongoing trials, gray literature, and targeted journals were searched from inception to December 27, 2021. The Cochrane risk of bias and Grading of Recommendation, Assessment, Development, and Evaluations were used to appraise individual and overall evidence. Subjects aged ≥ 18 years with or without previous surgeries and having LBP for at least three months were included. The primary outcome was pain intensity including back or leg pain scores at postintervention. Secondary outcomes comprised decrease in back, leg, and overall pain, and health-related quality of life. RESULTS: A total of 11 randomized controlled trials (RCTs) involving 955 participants across four countries were included. Our meta-analysis revealed that novel SCS waveform was superior to traditional SCS or placebo comparator for treating leg pain (Z = -2.12, p = 0.03) with a small effect size (Hedges' g = -0.18, 95% CI: -0.34 to -0.01). Back-pain intensity (g = -0.22, 95% CI: -0.47 to 0.02) and health-related quality of life (g = -0.12, 95% CI: -0.43 to 0.18) were similar between the novel SCS waveform group and the traditional SCS or placebo comparator groups. The meta-regression did not identify any effect of the covariates on back-pain intensity. CONCLUSIONS: With low certainty of evidence, this finding provides a rationale for considering the novel SCS waveform as complements to the usual therapeutic plan. Future trials should adopt well-designed RCTs with larger sample size and follow-up assessment.

The effect of wearable-delivered sleep interventions on sleep outcomes among adults: A systematic review and meta-analysis of randomized controlled trials.

The aims of the review were to (i) evaluate the effectiveness of wearable-delivered sleep interventions on sleep outcomes among adults, and (ii) explore the effect of factors affecting total sleep time. Eight databases were searched to identify relevant studies in English from inception until December 23, 2021. The Cochrane Risk of Bias tool version 2.0 and Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria were used to assess the risk of bias and certainty of the evidence, respectively. Twenty randomized controlled trials (RCTs) were included, involving 1608 adults across nine countries. Wearable-delivered sleep interventions elicited significant improvement of 1.96 events/h for the oxygen desaturation index and 3.13 events/h for the respiratory distress index. Meta-analyses found that wearable-delivered sleep interventions significantly decreased sleep disturbance (Hedges' g [g] = -0.37, 95% confidence interval [CI]: -0.59, -0.15) and sleep-related impairment (g = -1.06, 95% CI: -1.99, -0.13) versus the comparators. The wearable-delivered sleep interventions may complement usual care to improve sleep outcomes. More rigorous RCTs with a long-term assessment in a wide range of populations are warranted.

High body mass index and sleep problems during pregnancy: A meta-analysis and meta-regression of observational studies.

Despite the well-established correlation of weight and sleeping problems, little is known about the nature of the association. The present study examined whether pregnant women with high body mass index have a risk of developing sleep problems, and identified any covariates that affect this relationship. We systematically searched electronic databases, specialized journals, various clinical trial registries, grey literature databases and the reference list of the identified studies. All observational studies were obtained from inception until 9 August 2020. The Newcastle-Ottawa Scale was adopted to assess the quality of studies. Stata software was used to conduct meta-analysis and meta-regression. Forty-six observational studies involving 2,240,804 participants across 16 countries were included. Quality assessment scores ranged from 4 to 10 (median = 6). Meta-analyses revealed that the risk of sleep apnea, habitual snoring, short sleep duration and poor sleep quality is increased in pregnant women with high body mass index, but not for daytime sleepiness, insomnia or restless legs syndrome. Subgroup differences were detected on body mass index between different regions, nature of population, year of publication, age group and study quality. Random-effects meta-regression analyses showed that year and quality of publication were covariates on the relationships between pre-pregnant body mass index and sleep apnea risk. Our review shows that sleep apnea, habitual snoring, short sleep duration and poor sleep quality are important concerns for pregnant women with high body mass index. Developing screening and targeted interventions is recommended to promote efficacious perinatal care.

Wearable technology for early detection of COVID-19: A systematic scoping review.

Wearable technology is an emerging method for the early detection of coronavirus disease 2019 (COVID-19) infection. This scoping review explored the types, mechanisms, and accuracy of wearable technology for the early detection of COVID-19. This review was conducted according to the five-step framework of Arksey and O'Malley. Studies published between December 31, 2019 and December 15, 2021 were obtained from 10 electronic databases, namely, PubMed, Embase, Cochrane, CINAHL, PsycINFO, ProQuest, Scopus, Web of Science, IEEE Xplore, and Taylor & Francis Online. Grey literature, reference lists, and key journals were also searched. All types of articles describing wearable technology for the detection of COVID-19 infection were included. Two reviewers independently screened the articles against the eligibility criteria and extracted the data using a data charting form. A total of 40 articles were included in this review. There are 22 different types of wearable technology used to detect COVID-19 infections early in the existing literature and are categorized as smartwatches or fitness trackers (67%), medical devices (27%), or others (6%). Based on deviations in physiological characteristics, anomaly detection models that can detect COVID-19 infection early were built using artificial intelligence or statistical analysis techniques. Reported area-under-the-curve values ranged from 75% to 94.4%, and sensitivity and specificity values ranged from 36.5% to 100% and 73% to 95.3%, respectively. Further research is necessary to validate the effectiveness and clinical dependability of wearable technology before healthcare policymakers can mandate its use for remote surveillance.

Robot-assisted distal training improves upper limb dexterity and function after stroke: a systematic review and meta-regression.

INTRODUCTION: Stroke is one of the top 10 causes of death worldwide, and more than half of stroke patients face distal upper extremity dysfunction. Considering that robot-assisted training may be effective in improving distal upper extremity function, the review evaluated the effect of robot-assisted distal training on motor function, hand dexterity, and spasticity after stroke. METHODS: Eleven databases were systematically searched for randomised controlled trials (RCTs) from inception until Aug 28, 2021. Meta-analysis and meta-regression were performed to investigate the overall effect and source of heterogeneity, respectively. RESULTS: Twenty-two trials involving 758 participants were included in this systematic review. The overall effect of robot-assisted distal training on the motor function of the wrists and hands was significant improvement (MD = 3.92; 95% CI, 3.04-4.80; P < 0.001). The robot-assisted training had a significantly beneficial effect on other motor functions (MD = 2.84; 95% CI, 1.54-4.14; P < 0.001); dexterity (MD = 9.01; 95% CI, -12.07--5.95; P < 0.001), spasticity, upper extremity strength (SMD = 0.42; 95% CI, 0.07-0.78; P = 0.02) and activities of daily living (SMD = 0.70; 95% CI, 0.29-1.23; P < 0.001). A series of subgroup analyses showed preferable design and effective regime of training. Meta-regression indicated the statistically significant effect of the year of trial, country, and duration on the effectiveness of training. CONCLUSION: Robot-assisted distal training has a significant effect on motor function, dexterity and spasticity of the upper extremity, compared to conventional therapy.

Effectiveness of Exercise in Improving Sleep Outcomes among Perinatal Women: A Systematic Review and Meta-analysis of randomised Controlled Trials.

BACKGROUND: Sleep problems are prevalent among perinatal women, contributing to the poor overall well-being of mother and child. Exercise is an inexpensive and sustainable intervention to improve sleep outcomes and can be personalized accordingly to individuals. This systematic review and meta-analysis aim to consolidate available evidence to evaluate the effectiveness of exercise on improving sleep outcomes among perinatal women. METHODS: Eight databases (CINAHL, Cochrane, EMBASE, PsycINFO, PubMed, Scopus, Web of Science and ProQuest) were used to perform a systematic search for studies in the English language from the inception of each database to 7 December 2019. The quality of studies was assessed using the risk of bias and GRADE. Review Manager was used for meta-analyses. Heterogeneity was determined by Cochran's Q (chi-square) and I2 values. The overall effect was evaluated using effect size and Z-statistics. RESULTS: A total of 2,139 records were identified. Ten randomized controlled trials were included, with seven in the meta-analysis, involving 998 pregnant and postpartum women across eight countries. With medium to very large effect sizes, the results favored exercise interventions on sleep quality, sleep efficiency, sleep duration, sleep latency, insomnia, diurnal tiredness and daytime dysfunction. CONCLUSION: Exercise interventions produced significant effects on improving sleep among perinatal women. This can increase advocacy for exercise among perinatal women to improve sleep and general health. Future randomized controlled trial designs should adhere to the Consolidated Standards of Reporting Trials and Template to ensure reliability when conducting and reporting such studies.

The Effectiveness of Transcranial Stimulation in Improving Swallowing Outcomes in Adults with Poststroke Dysphagia: A Systematic Review and Meta-analysis.

Transcranial stimulation has been proposed as an alternative rehabilitation therapy for adults with post-stroke dysphagia (PSD). This systematic review sought to determine the effectiveness of transcranial stimulation in patients with post-stroke dysphagia to improve swallowing function. From inception to January 3, 2021, an extensive search was conducted in PubMed, EMBASE, Cochrane, CINAHL, and Scopus, Web of Science. The randomized controlled trials (RCTs) included studies in adults aged 18 years and older who suffered from post-stroke dysphagia. Using Hedges' g as effect size, meta-analyses were conducted using random-effects models. To investigate potential sources of heterogeneity, subgroup analyses, and multivariable meta-regression analyses were conducted. Sixteen RCTs were included in this review, and 13 RCTs were used for meta-analysis. The meta-analysis showed that a large effect size in improving swallowing function after repetitive Transcranial Magnetic Stimulation (g = - 0.86, 95% CI - 1.57, - 0.16) and medium effect size in Transcranial Direct Current Stimulation (g = - 0.61, 95% CI - 1.04, - 0.17) at post-intervention, respectively. Subgroup and meta-regression analysis indicated that stimulation of the esophagus cortical area and middle-aged adults had a greater effect on swallowing function. The overall certainty of evidence assessed using the GRADE approach was low. Despite the positive results, transcranial stimulation requires additional research to reach definitive conclusions about the optimal stimulation protocol and to achieve the greatest benefit. Future trials should be more rigorous and include a larger sample size to demonstrate the efficacy of transcranial stimulation. Transcranial stimulation enables a more efficacious approach to dysphagia mitigation in PSD rehabilitation.

Weight-loss interventions for improving emotional eating among adults with high body mass index: A systematic review with meta-analysis and meta-regression.

OBJECTIVES: To evaluate the effectiveness of weight-loss interventions on emotional eating among adults with high body mass index (BMI). METHODS: A systematic review, meta-analysis and meta-regression were performed on randomized controlled trials published from inception until 19 March 2021. RESULTS: Thirty-one studies were included, representing 1203 participants with mean ages ranging from 21.8 to 57.3 years old and BMI 27.2-43.5 kg/m2 . We found small-to-medium interventional effects on emotional eating (n = 18; Hedges' g = 0.22; p = 0.01, I2  = 61.7%), uncontrolled eating (n = 16; Hedges' g = 0.46; p < 0.001, I2  = 71.6%) and cognitive restraint (n = 18; Hedges' g = 0.42; p < 0.001, I2  = 75.8%). Small-to-medium interventional effects were only found for emotional eating (n = 8; Hedges' g = 0.45; p = 0.02, I2  = 74.3%) 3-month post-intervention, and on BMI (n = 4; Hedges' g = 0.43; p < 0.05, I2  = 33.4%) and weight (n = 6; Hedges' g = 0.36; p < 0.01, I2  < 10.4%) 12-month post-intervention. Age, male proportion, baseline BMI, attrition rate and intervention length were not significant moderators of the heterogeneity between studies. CONCLUSION: Interventions improved emotional eating and weight loss along a year-long trajectory.

Evaluating the effectiveness of interprofessional advanced cardiac life support training: a sequential mixed-methods approach.

Interprofessional advanced cardiac life support (IP-ACLS) training is a holistic learning experience; thus, our research team incorporated this training into an undergraduate programme. Considering that IP-ACLS training is a new paradigm in nursing education, evaluating its effectiveness is essential. This research aimed to (1) evaluate the effectiveness of this training on improving the perceived level of interprofessional collaboration, self-efficacy and emotion regulation and (2) explore the learning experience of nursing students during training. The study design adopted a sequential mixed-method approach comprising a two-group pretest and posttest design amongst 120 students, followed by nine focus group discussions. Quantitative results demonstrated significant improvements in the perceived level of interprofessional collaboration, self-efficacy and emotion regulation at post-intervention and follow-up. Qualitative data were collected through video recording and field notes. Thematic analysis was performed following the method of Braun and Clarke. Qualitative analysis of focus group transcripts identified three themes: synergistic partnership, clinical readiness and improving further training. Quantitative and qualitative results were integrated in accordance with the mixed data analysis framework. These results complemented one another. The training provided an authentic learning experience and a good steppingstone to nursing students who are preparing to work interprofessionally in the future.

Global prevalence of resilience in health care professionals: A systematic review, meta-analysis and meta-regression.

AIMS: This review aims to examine the prevalence estimate of low resilience among health care professionals and identify the factors affecting the prevalence. BACKGROUND: Health care professionals experience high levels of stress. Understanding the health care professionals' resilience may provide an insight into how they perform in a highly stressed environment. EVALUATION: A comprehensive search of 11 databases was conducted. Studies that provided prevalence rates for low resilience among health care professionals working in a health care setting were included. Meta-analyses, sensitivity, subgroup analyses and meta-regression were conducted. KEY ISSUES: Among 27,720 studies, 41 studies (N = 17,073) across 16 countries were included. The prevalence of low resilience was 26% (95% CI: 20-32). Subgroup analyses indicated that types of resilience measures affect resilience prevalence significantly. A higher prevalence of low resilience was observed among allied health professions during the COVID-19 pandemic in the Middle East. CONCLUSIONS: This review indicated the prevalence of low resilience and type of resilience measurement instruments that affected the prevalence. IMPLICATIONS FOR NURSING MANAGEMENT: This review provides a roadmap to design tailored, discipline-specific and sustainable resilience training for nurses. Nursing managers should monitor the working hours and workload of nursing staffing in order to provide a protective working environment. This is a systematic review, and the PROSPERO registration number is CRD42021235350.

The role of artificial intelligence in enhancing clinical nursing care: A scoping review.

AIM: To present an overview of how artificial intelligence has been used to improve clinical nursing care. BACKGROUND: Artificial intelligence has been reshaping the healthcare industry but little is known about its applicability in enhancing nursing care. EVALUATION: A scoping review was conducted. Seven electronic databases (CINAHL, Cochrane Library, EMBASE, IEEE Xplore, PubMed, Scopus, and Web of Science) were searched from 1 January 2010 till 20 December 2020. Grey literature and reference lists of included articles were also searched. KEY ISSUES: Thirty-seven studies encapsulating the use of artificial intelligence in improving clinical nursing care were included in this review. Six use cases were identified - documentation, formulating nursing diagnoses, formulating nursing care plans, patient monitoring, patient care prediction such as falls prediction (most common) and wound management. Various techniques of machine learning and classification were used for predictive analyses and to improve nurses' preparedness and management of patients' conditions CONCLUSION: This review highlighted the potential of artificial intelligence in improving the quality of nursing care. However, more randomized controlled trials in real-life healthcare settings should be conducted to enhance the rigor of evidence. IMPLICATIONS FOR NURSING MANAGEMENT: Education in the application of artificial intelligence should be promoted to empower nurses to lead technological transformations and not passively trail behind others.