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BMJ Open Jun 2023There is a growing need for interventions to improve well-being in healthcare workers, particularly since the onset of COVID-19.
UNLABELLED
There is a growing need for interventions to improve well-being in healthcare workers, particularly since the onset of COVID-19.
OBJECTIVES
To synthesise evidence since 2015 on the impact of interventions designed to address well-being and burnout in physicians, nurses and allied healthcare professionals.
DESIGN
Systematic literature review.
DATA SOURCES
Medline, Embase, Emcare, CINAHL, PsycInfo and Google Scholar were searched in May-October 2022.
ELIGIBILITY CRITERIA FOR SELECTING STUDIES
Studies that primarily investigated burnout and/or well-being and reported quantifiable preintervention and postintervention outcomes using validated well-being measures were included.
DATA EXTRACTION AND SYNTHESIS
Full-text articles in English were independently screened and quality assessed by two researchers using the Medical Education Research Study Quality Instrument. Results were synthesised and presented in both quantitative and narrative formats. Meta-analysis was not possible due to variations in study designs and outcomes.
RESULTS
A total of 1663 articles were screened for eligibility, with 33 meeting inclusion criterium. Thirty studies used individually focused interventions, while three were organisationally focused. Thirty-one studies used secondary level interventions (managed stress in individuals) and two were primary level (eliminated stress causes). Mindfulness-based practices were adopted in 20 studies; the remainder used meditation, yoga and acupuncture. Other interventions promoted a positive mindset (gratitude journaling, choirs, coaching) while organisational interventions centred on workload reduction, job crafting and peer networks. Effective outcomes were reported in 29 studies, with significant improvements in well-being, work engagement, quality of life and resilience, and reductions in burnout, perceived stress, anxiety and depression.
CONCLUSION
The review found that interventions benefitted healthcare workers by increasing well-being, engagement and resilience, and reducing burnout. It is noted that the outcomes of numerous studies were impacted by design limitations that is, no control/waitlist control, and/or no post intervention follow-up. Suggestions are made for future research.
Topics: Humans; Quality of Life; COVID-19; Health Personnel; Physicians; Workplace; Burnout, Psychological; Delivery of Health Care; Nurses
PubMed: 37385740
DOI: 10.1136/bmjopen-2022-071203 -
Frontiers in Psychiatry 2023Stress in the healthcare environment causes negative effects in nurses such as burnout, anxiety, and depression. The COVID-19 pandemic has resulted in increased pressure...
BACKGROUND
Stress in the healthcare environment causes negative effects in nurses such as burnout, anxiety, and depression. The COVID-19 pandemic has resulted in increased pressure on medical staff globally, highlighting the potential benefits of mindfulness-based interventions in reducing nurses' stress levels. Despite numerous studies exploring the effect of mindfulness-based training on nurses, the results remain inconclusive.
OBJECTIVE
To systematically evaluate the impact of mindfulness training on nurse's performance and increase the certainty of existing evidence.
METHODS
This study searched various databases, including EBSCO, Embase, Web of Science, PubMed, ProQuest, Scopus, Cochrane Online Library, Wanfang, SinoMed, CNKI, and VIP, for randomized controlled trials on the impact of mindfulness-based interventions for nurses up until 02 December 2022. Two investigators independently screened and extracted data from the articles, while also assessing the risk of bias. The data was analyzed using RevMan 5.4 software.
RESULTS
This review identified 15 studies out of the 2,171 records retrieved, consisting of a total of 1,165 participants who were randomized. Post-intervention analysis provided very-low certainty evidence of moderate effectiveness of mindfulness-based training in reducing stress [standardized mean difference (SMD) = -0.81; 95% confidence interval (CI) = -1.11 to -0.52], with no significant effect on anxiety (SMD = -0.30; 95% CI = -0.72 to 0.13) or depression (SMD = -0.24; 95% CI = -0.55 to 0.07). However, the training was effective in reducing burnout, as demonstrated by the lower scores for emotional exhaustion (SMD = -4.27; 95% CI = -5.94 to -2.59) and depersonalization (SMD = -2.89; 95% CI = -4.24 to -1.54) and higher scores for personal accomplishment (SMD = 2.81; 95% CI = 0.12 to 5.50). There was a sustained improvement in stress levels in the short-term (≤3 months), with delayed benefits for burnout. However, only two studies were available for later follow-ups, and there was no significant evidence of long-term effects.
CONCLUSION
Mindfulness-based training may be a viable intervention for improving the psychological wellbeing of nurses, including reducing stress, burnout.
SYSTEMATIC REVIEW REGISTRATION
https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023387081.
PubMed: 37599884
DOI: 10.3389/fpsyt.2023.1218340 -
Journal of Medical Internet Research Nov 2023Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subjective, time-consuming, and challenging to repeat. Therefore, there is an increasing demand for using technologies capable of providing objective and early detection of anxiety. Wearable artificial intelligence (AI), the combination of AI technology and wearable devices, has been widely used to detect and predict anxiety disorders automatically, objectively, and more efficiently.
OBJECTIVE
This systematic review and meta-analysis aims to assess the performance of wearable AI in detecting and predicting anxiety.
METHODS
Relevant studies were retrieved by searching 8 electronic databases and backward and forward reference list checking. In total, 2 reviewers independently carried out study selection, data extraction, and risk-of-bias assessment. The included studies were assessed for risk of bias using a modified version of the Quality Assessment of Diagnostic Accuracy Studies-Revised. Evidence was synthesized using a narrative (ie, text and tables) and statistical (ie, meta-analysis) approach as appropriate.
RESULTS
Of the 918 records identified, 21 (2.3%) were included in this review. A meta-analysis of results from 81% (17/21) of the studies revealed a pooled mean accuracy of 0.82 (95% CI 0.71-0.89). Meta-analyses of results from 48% (10/21) of the studies showed a pooled mean sensitivity of 0.79 (95% CI 0.57-0.91) and a pooled mean specificity of 0.92 (95% CI 0.68-0.98). Subgroup analyses demonstrated that the performance of wearable AI was not moderated by algorithms, aims of AI, wearable devices used, status of wearable devices, data types, data sources, reference standards, and validation methods.
CONCLUSIONS
Although wearable AI has the potential to detect anxiety, it is not yet advanced enough for clinical use. Until further evidence shows an ideal performance of wearable AI, it should be used along with other clinical assessments. Wearable device companies need to develop devices that can promptly detect anxiety and identify specific time points during the day when anxiety levels are high. Further research is needed to differentiate types of anxiety, compare the performance of different wearable devices, and investigate the impact of the combination of wearable device data and neuroimaging data on the performance of wearable AI.
TRIAL REGISTRATION
PROSPERO CRD42023387560; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=387560.
Topics: Humans; Artificial Intelligence; Anxiety; Anxiety Disorders; Algorithms; Databases, Factual
PubMed: 37938883
DOI: 10.2196/48754 -
Frontiers in Psychology 2023Performance anxiety is a widespread issue that can affect musicians across their education and career. It can develop in musicians from a young age leading to short-term...
Performance anxiety is a widespread issue that can affect musicians across their education and career. It can develop in musicians from a young age leading to short-term and long-term impacts on not only their performance, but also their wellbeing. There is potentially a significant role that music educators hold in the development of their students and how they handle performance anxiety, though it is not clear how, or how often, teachers support their students in this way. Through a PRISMA-based systematic review, this paper explores what is known about the strategies used by music educators to help manage their students' performance anxiety. The paper also discusses the role that instrumental/vocal tutors and school classroom teachers might hold in this area. The findings show that music educators are implementing multiple strategies to assist their students with MPA, with the most common being simulated performance, positive outlook, preparation and breathing. It was found that there is a role for teachers to address MPA management with their students. While some students prefer to receive MPA support from experts in the field of psychology, students still expressed a need to have this support come from their teacher. Though many teachers felt a need for additional training for them to help their students cope with MPA, many of the strategies were found to be multifunctional and embedded into the regular teaching practices or teaching styles of the educator. Although these strategies might be implicit rather than explicit, the findings suggest that music educators could represent a valuable source of support for MPA management.
PubMed: 37588244
DOI: 10.3389/fpsyg.2023.1205150 -
BMC Pediatrics Dec 2023Children with Autism spectrum disorder (ASD) was frequently experienced dental anxiety and uncooperative behaviors during dental treatment. Oral health care was...
BACKGROUND
Children with Autism spectrum disorder (ASD) was frequently experienced dental anxiety and uncooperative behaviors during dental treatment. Oral health care was necessary because of the poor oral hygiene and prevalent dental diseases in this population.
AIM
In this systematic review, we evaluated the effectiveness and feasibility for pediatric dentist to manage the dental anxiety in children with ASD.
DESIGN
PubMed, Embase, and Cochrane Library were systematically performed on the literature search. The date of eligible publications was from inception to January 2023. After that, the quality of eligible studies was assessed by the Newcastle Ottawa Scale (NOS). Review findings were summarized using the PRISMA Statement for reporting.
RESULTS
A total of six studies were systematically evaluated according to the inclusion and exclusion criteria. Five studies were conducted to evaluate ASD Children's anxiety and uncooperative performance in the progressive oral examination, oral disease prophylaxis and fluoride application. The other one study evaluated the success rate of treatment in decayed permanent tooth treatment. In the included studies, four studies indicated that it was extremely necessary to reduce dental anxiety of ASD children to increase the cooperation in sensory-adapted dental environment (SADE).
CONCLUSION
It is not always effective and feasible for pediatric dentist to manage the dental anxiety in children with autism during routine oral examination. Meanwhile, it is necessary for ASD children to conduct preoperative psychological assessment, to investigate parents' expectations and cooperation, and to determine whether to start corresponding dental treatment.
Topics: Humans; Child; Autism Spectrum Disorder; Dental Anxiety; Oral Health; Delivery of Health Care; Autistic Disorder
PubMed: 38049774
DOI: 10.1186/s12887-023-04439-7 -
Cureus Sep 2023Parkinson's disease (PD) is one of the most common neurological ailments. With diverse motor affectations (postural instability, resting tremor, bradykinesia, and... (Review)
Review
Parkinson's disease (PD) is one of the most common neurological ailments. With diverse motor affectations (postural instability, resting tremor, bradykinesia, and rigidity), people with Parkinson's disease (PwP) have a broad spectrum of non-motor symptoms. These include autonomic function changes, cognitive deterioration, neuropsychiatric difficulties, and sleep interruptions. Psychological disturbances, such as anxiety and sadness, are common among PwP. This discomfort is often accompanied by a decrease in general functioning, both at work and in social contacts. Furthermore, people who are experiencing psychological distress have a quick decrease in both physical and cognitive capacities. Furthermore, Pwp who also suffer from anxiety and depression are more likely to acquire dementia. It is worth noting that studies have shown good outcomes in the treatment of physical disabilities in PWP and the various therapeutics available for each affected body part, such as in the legs when they have walking problems, resting tremor in their hands, or micrography, which is a common symptom in these patients. The medical research databases PubMed/Medline, Google Scholar, and the Cochrane Library were used to look for relevant materials. Upon meticulous scrutiny, a thorough investigation was conducted on the papers at hand. A total of 10 publications were meticulously selected based on stringent qualifying criteria. The present investigation examines various perspectives regarding the physical rehabilitation of individuals diagnosed with PD. The majority of therapeutic interventions employed revolve around cutting-edge technologies, such as virtual reality (VR), combined with exercise regimens. These interventions have demonstrated notable statistical significance in terms of enhancing various physical aspects, including endurance, performance, gait capacity, perception, and overall independence in daily life activities. One of the gathered studies makes use of the therapeutic benefits of yoga to help PwP deal with their anxiety and improve their mental health. Based on the aforementioned information, further investigation is required to ascertain the optimal approach for physical rehabilitation management and develop diverse strategies aimed at assisting individuals with PD in attaining physical autonomy.
PubMed: 37809151
DOI: 10.7759/cureus.44739 -
JMIR MHealth and UHealth May 2024Unaddressed early-stage mental health issues, including stress, anxiety, and mild depression, can become a burden for individuals in the long term. Digital phenotyping... (Review)
Review
BACKGROUND
Unaddressed early-stage mental health issues, including stress, anxiety, and mild depression, can become a burden for individuals in the long term. Digital phenotyping involves capturing continuous behavioral data via digital smartphone devices to monitor human behavior and can potentially identify milder symptoms before they become serious.
OBJECTIVE
This systematic literature review aimed to answer the following questions: (1) what is the evidence of the effectiveness of digital phenotyping using smartphones in identifying behavioral patterns related to stress, anxiety, and mild depression? and (2) in particular, which smartphone sensors are found to be effective, and what are the associated challenges?
METHODS
We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) process to identify 36 papers (reporting on 40 studies) to assess the key smartphone sensors related to stress, anxiety, and mild depression. We excluded studies conducted with nonadult participants (eg, teenagers and children) and clinical populations, as well as personality measurement and phobia studies. As we focused on the effectiveness of digital phenotyping using smartphones, results related to wearable devices were excluded.
RESULTS
We categorized the studies into 3 major groups based on the recruited participants: studies with students enrolled in universities, studies with adults who were unaffiliated to any particular organization, and studies with employees employed in an organization. The study length varied from 10 days to 3 years. A range of passive sensors were used in the studies, including GPS, Bluetooth, accelerometer, microphone, illuminance, gyroscope, and Wi-Fi. These were used to assess locations visited; mobility; speech patterns; phone use, such as screen checking; time spent in bed; physical activity; sleep; and aspects of social interactions, such as the number of interactions and response time. Of the 40 included studies, 31 (78%) used machine learning models for prediction; most others (n=8, 20%) used descriptive statistics. Students and adults who experienced stress, anxiety, or depression visited fewer locations, were more sedentary, had irregular sleep, and accrued increased phone use. In contrast to students and adults, less mobility was seen as positive for employees because less mobility in workplaces was associated with higher performance. Overall, travel, physical activity, sleep, social interaction, and phone use were related to stress, anxiety, and mild depression.
CONCLUSIONS
This study focused on understanding whether smartphone sensors can be effectively used to detect behavioral patterns associated with stress, anxiety, and mild depression in nonclinical participants. The reviewed studies provided evidence that smartphone sensors are effective in identifying behavioral patterns associated with stress, anxiety, and mild depression.
Topics: Humans; Depression; Stress, Psychological; Anxiety; Phenotype; Smartphone
PubMed: 38780995
DOI: 10.2196/40689 -
Behavioral Sciences (Basel, Switzerland) Nov 2023Levels of state and trait anxiety are relevant for performing artists and professional athletes to obtain optimal performance outcomes. However, evidence-based knowledge... (Review)
Review
Levels of state and trait anxiety are relevant for performing artists and professional athletes to obtain optimal performance outcomes. However, evidence-based knowledge regarding the effectiveness of psychological interventions on performance anxiety is currently minimal. Thus, the objective of this systematic review with meta-analysis was to characterize, aggregate, and quantify intervention effects on measures of state and trait performance anxiety in performing artists and professional athletes. A systematic search of the literature according to the PRISMA guidelines was conducted on the databases PubMed, Medline, SPORTDiscus, PsycInfo, Embase, and Web of Science from 1 January 1960 to 9 November 2022. The search only included controlled studies employing pre-post measures and excluded performing arts fields that do not depend on fine motor skills. Initially, 1022 articles were identified; after removing duplicates and assessing abstracts and full texts, 20 articles were used to calculate weighted standardized mean differences (). In terms of state performance anxiety, our results revealed a large overall effect ( = 0.88), a medium effect ( = 0.62) for studies using scales with total scores (i.e., MPAI-A, STAI), and large effects (cognitive anxiety: = 0.93, somatic anxiety: = 0.92, self-confidence: = 0.97) for studies applying scales with sub-scores (i.e., CSAI-2R)-all in favour of the intervention groups. Regarding trait performance anxiety (e.g., SCAT), we detected a small effect ( = 0.32), also favouring the intervention groups. Interventions to reduce performance anxiety in performing artists and professional athletes revealed varying levels of effectiveness ranging from small (trait) to large (state). Therefore, future studies should investigate modalities to increase intervention efficacy, especially for the small-sized changes in trait performance anxiety.
PubMed: 37998657
DOI: 10.3390/bs13110910 -
Biology of Sex Differences Jul 2023Premature birth and/or low birthweight have long-lasting effects on cognition. The purpose of the present systematic review is to examine whether the effects of... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Premature birth and/or low birthweight have long-lasting effects on cognition. The purpose of the present systematic review is to examine whether the effects of prematurity and/or low birth weight on neurodevelopmental outcomes differ between males and females.
METHODS
Web of Science, Scopus, and Ovid MEDLINE were searched for studies of humans born premature and/or of low birthweight, where neurodevelopmental phenotypes were measured at 1 year of age or older. Studies must have reported outcomes in such a way that it was possible to assess whether effects were greater in one sex than the other. Risk of bias was assessed using both the Newcastle-Ottawa scale and the National Institutes of Health Quality assessment tool for observational cohort and cross-sectional studies.
RESULTS
Seventy-five studies were included for descriptive synthesis, although only 24 presented data in a way that could be extracted for meta-analyses. Meta-analyses found that severe and moderate prematurity/low birthweight impaired cognitive function, and severe prematurity/low birthweight also increased internalizing problem scores. Moderate, but not severe, prematurity/low birthweight significantly increased externalizing problem scores. In no case did effects of prematurity/low birthweight differ between males and females. Heterogeneity among studies was generally high and significant, although age at assessment was not a significant moderator of effect. Descriptive synthesis did not identify an obvious excess or deficiency of male-biased or female-biased effects for any trait category. Individual study quality was generally good, and we found no evidence of publication bias.
CONCLUSIONS
We found no evidence that the sexes differ in their susceptibility to the effects of severe or moderate prematurity/low birthweight on cognitive function, internalizing traits or externalizing traits. Result heterogeneity tended to be high, but this reflects that one sex is not consistently more affected than the other. Frequently stated generalizations that one sex is more susceptible to prenatal adversity should be re-evaluated.
Topics: United States; Pregnancy; Female; Male; Humans; Infant, Newborn; Premature Birth; Sex Characteristics; Birth Weight; Cross-Sectional Studies; Infant, Low Birth Weight
PubMed: 37434174
DOI: 10.1186/s13293-023-00532-9 -
Epidemiology and Psychiatric Sciences Jul 2023This study aimed to summarize the evidence on sleep alterations in medication-naïve children and adolescents with autism spectrum disorder (ASD). (Meta-Analysis)
Meta-Analysis
AIMS
This study aimed to summarize the evidence on sleep alterations in medication-naïve children and adolescents with autism spectrum disorder (ASD).
METHODS
We systematically searched PubMed/Medline, Embase and Web of Science databases from inception through March 22, 2021. This study was registered with PROSPERO (CRD42021243881). Any observational study was included that enrolled medication-naïve children and adolescents with ASD and compared objective (actigraphy and polysomnography) or subjective sleep parameters with typically developing (TD) counterparts. We extracted relevant data such as the study design and outcome measures. The methodological quality was assessed through the Newcastle-Ottawa Scale (NOS). A meta-analysis was carried out using the random-effects model by pooling effect sizes as Hedges' . To assess publication bias, Egger's test and -curve analysis were done. A priori planned meta-regression and subgroup analysis were also performed to identify potential moderators.
RESULTS
Out of 4277 retrieved references, 16 studies were eligible with 981 ASD patients and 1220 TD individuals. The analysis of objective measures showed that medication-naïve ASD patients had significantly longer sleep latency (Hedges' 0.59; 95% confidence interval [95% CI] 0.26 to 0.92), reduced sleep efficiency (Hedges' -0.58; 95% CI -0.87 to -0.28), time in bed (Hedges' -0.64; 95% CI -1.02 to -0.26) and total sleep time (Hedges' -0.64; 95% CI -1.01 to -0.27). The analysis of subjective measures showed that they had more problems in daytime sleepiness (Hedges' 0.48; 95% CI 0.26 to 0.71), sleep latency (Hedges' 1.15; 95% CI 0.72 to 1.58), initiating and maintaining sleep (Hedges' 0.86; 95% CI 0.39 to 1.33) and sleep hyperhidrosis (Hedges' 0.48; 95% CI 0.29 to 0.66). Potential publication bias was detected for sleep latency, sleep period time and total sleep time measured by polysomnography. Some sleep alterations were moderated by age, sex and concurrent intellectual disability. The median NOS score was 8 (interquartile range 7.25-8.75).
CONCLUSION
We found that medication-naïve children and adolescents with ASD presented significantly more subjective and objective sleep alterations compared to TD and identified possible moderators of these differences. Future research requires an analysis of how these sleep alterations are linked to core symptom severity and comorbid behavioural problems, which would provide an integrated therapeutic intervention for ASD. However, our results should be interpreted in light of the potential publication bias.
Topics: Humans; Child; Adolescent; Autism Spectrum Disorder; Sleep; Comorbidity; Outcome Assessment, Health Care; Observational Studies as Topic
PubMed: 37469173
DOI: 10.1017/S2045796023000574