scholarly journals Digital Assessment Tools Using Animation Features to Quantify Alcohol Consumption: A Systematic Review (Preprint)

Author(s):  
Veronika Wiemker ◽  
Maria Neufeld ◽  
Anna Bunova ◽  
Ina Danquah ◽  
Carina Ferreira-Borges ◽  
...  
2021 ◽  
Author(s):  
Nayra Anna Martin-Key ◽  
Benedetta Spadaro ◽  
Erin Funnell ◽  
Eleanor Jane Barker ◽  
Thea Sofie Schei ◽  
...  

BACKGROUND Given the role digital technologies are likely to play in the future of mental healthcare, there is a need for a comprehensive appraisal of the current state and validity (i.e., screening/diagnostic accuracy) of digital mental health assessments. OBJECTIVE To explore the current state and validity of question-and-answer-based digital tools for diagnosing and screening psychiatric conditions in adults. METHODS This systematic review was based on the Population, Intervention, Comparison, and Outcome (PICO) framework and was carried out in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. MEDLINE, Embase, Cochrane Library, ASSIA, Web of Science Core Collection, CINAHL, and PsycINFO were systematically searched for articles published between 2005 and 2020. A descriptive evaluation of the study characteristics and digital solutions and a quantitative appraisal of the screening/diagnostic accuracy of the included tools was conducted. Risk of bias and applicability were assessed using the Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) guidelines. RESULTS A total of 25 studies met the inclusion criteria, with the most frequently evaluated conditions encompassing generalized anxiety disorder (GAD), major depressive disorder (MDD), and any depressive disorder. The majority of the studies employed digitized versions of existing pen-and-paper questionnaires, with findings revealing poor to excellent screening/diagnostic accuracy (sensitivity = 0.36-1.00, specificity = 0.37-1.00, AUC = 0.57-0.98) and a high risk of bias for most of the included studies. CONCLUSIONS The current state of the field of digital mental health tools is in its early stages and high-quality evidence is lacking. INTERNATIONAL REGISTERED REPORT RR2-10.2196/25382


10.2196/32824 ◽  
2021 ◽  
Author(s):  
Nayra A Martin-Key ◽  
Benedetta Spadaro ◽  
Erin Funnell ◽  
Eleanor Jane Barker ◽  
Thea Sofie Schei ◽  
...  

2020 ◽  
Author(s):  
Nayra A Martin-Key ◽  
Thea S Schei ◽  
Eleanor J Barker ◽  
Benedetta Spadaro ◽  
Erin Funnell ◽  
...  

BACKGROUND Despite the rapidly growing number of digital assessment tools for screening and diagnosing mental health disorders, little is known about their diagnostic accuracy. OBJECTIVE The purpose of this systematic review and meta-analysis is to establish the diagnostic accuracy of question- and answer-based digital assessment tools for diagnosing a range of highly prevalent psychiatric conditions in the adult population. METHODS The Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) will be used. The focus of the systematic review is guided by the population, intervention, comparator, and outcome framework (PICO). We will conduct a comprehensive systematic literature search of MEDLINE, PsychINFO, Embase, Web of Science Core Collection, Cochrane Library, Applied Social Sciences Index and Abstracts (ASSIA), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) for appropriate articles published from January 1, 2005. Two authors will independently screen the titles and abstracts of identified references and select studies according to the eligibility criteria. Any inconsistencies will be discussed and resolved. The two authors will then extract data into a standardized form. Risk of bias will be assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool, and a descriptive analysis and meta-analysis will summarize the diagnostic accuracy of the identified digital assessment tools. RESULTS The systematic review and meta-analysis commenced in November 2020, with findings expected by May 2021. CONCLUSIONS This systematic review and meta-analysis will summarize the diagnostic accuracy of question- and answer-based digital assessment tools. It will identify implications for clinical practice, areas for improvement, and directions for future research. CLINICALTRIAL PROSPERO International Prospective Register of Systematic Reviews CRD42020214724; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020214724. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/25382


10.2196/25382 ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. e25382
Author(s):  
Nayra A Martin-Key ◽  
Thea S Schei ◽  
Eleanor J Barker ◽  
Benedetta Spadaro ◽  
Erin Funnell ◽  
...  

Background Despite the rapidly growing number of digital assessment tools for screening and diagnosing mental health disorders, little is known about their diagnostic accuracy. Objective The purpose of this systematic review and meta-analysis is to establish the diagnostic accuracy of question- and answer-based digital assessment tools for diagnosing a range of highly prevalent psychiatric conditions in the adult population. Methods The Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) will be used. The focus of the systematic review is guided by the population, intervention, comparator, and outcome framework (PICO). We will conduct a comprehensive systematic literature search of MEDLINE, PsychINFO, Embase, Web of Science Core Collection, Cochrane Library, Applied Social Sciences Index and Abstracts (ASSIA), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) for appropriate articles published from January 1, 2005. Two authors will independently screen the titles and abstracts of identified references and select studies according to the eligibility criteria. Any inconsistencies will be discussed and resolved. The two authors will then extract data into a standardized form. Risk of bias will be assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool, and a descriptive analysis and meta-analysis will summarize the diagnostic accuracy of the identified digital assessment tools. Results The systematic review and meta-analysis commenced in November 2020, with findings expected by May 2021. Conclusions This systematic review and meta-analysis will summarize the diagnostic accuracy of question- and answer-based digital assessment tools. It will identify implications for clinical practice, areas for improvement, and directions for future research. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42020214724; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020214724. International Registered Report Identifier (IRRID) DERR1-10.2196/25382


2021 ◽  
Author(s):  
Ekaterina Mosolova ◽  
Dmitry Sosin ◽  
Sergey Mosolov

During the COVID-19 pandemic, healthcare workers (HCWs) have been subject to increased workload while also exposed to many psychosocial stressors. In a systematic review we analyze the impact that the pandemic has had on HCWs mental state and associated risk factors. Most studies reported high levels of depression and anxiety among HCWs worldwide, however, due to a wide range of assessment tools, cut-off scores, and number of frontline participants in the studies, results were difficult to compare. Our study is based on two online surveys of 2195 HCWs from different regions of Russia during spring and autumn epidemic outbreaks revealed the rates of anxiety, stress, depression, emotional exhaustion and depersonalization and perceived stress as 32.3%, 31.1%, 45.5%, 74.2%, 37.7% ,67.8%, respectively. Moreover, 2.4% of HCWs reported suicidal thoughts. The most common risk factors include: female gender, nurse as an occupation, younger age, working for over 6 months, chronic diseases, smoking, high working demands, lack of personal protective equipment, low salary, lack of social support, isolation from families, the fear of relatives getting infected. These results demonstrate the need for urgent supportive programs for HCWs fighting COVID-19 that fall into higher risk factors groups.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Daria Antipova ◽  
Leila Eadie ◽  
Ashish Stephen Macaden ◽  
Philip Wilson

Abstract Introduction A number of pre-hospital clinical assessment tools have been developed to triage subjects with acute stroke due to large vessel occlusion (LVO) to a specialised endovascular centre, but their false negative rates remain high leading to inappropriate and costly emergency transfers. Transcranial ultrasonography may represent a valuable pre-hospital tool for selecting patients with LVO who could benefit from rapid transfer to a dedicated centre. Methods Diagnostic accuracy of transcranial ultrasonography in acute stroke was subjected to systematic review. Medline, Embase, PubMed, Scopus, and The Cochrane Library were searched. Published articles reporting diagnostic accuracy of transcranial ultrasonography in comparison to a reference imaging method were selected. Studies reporting estimates of diagnostic accuracy were included in the meta-analysis. Results Twenty-seven published articles were selected for the systematic review. Transcranial Doppler findings, such as absent or diminished blood flow signal in a major cerebral artery and asymmetry index ≥ 21% were shown to be suggestive of LVO. It demonstrated sensitivity ranging from 68 to 100% and specificity of 78–99% for detecting acute steno-occlusive lesions. Area under the receiver operating characteristics curve was 0.91. Transcranial ultrasonography can also detect haemorrhagic foci, however, its application is largely restricted by lesion location. Conclusions Transcranial ultrasonography might potentially be used for the selection of subjects with acute LVO, to help streamline patient care and allow direct transfer to specialised endovascular centres. It can also assist in detecting haemorrhagic lesions in some cases, however, its applicability here is largely restricted. Additional research should optimize the scanning technique. Further work is required to demonstrate whether this diagnostic approach, possibly combined with clinical assessment, could be used at the pre-hospital stage to justify direct transfer to a regional thrombectomy centre in suitable cases.


Author(s):  
Andrea Maugeri ◽  
Martina Barchitta ◽  
Roberta Magnano San Lio ◽  
Maria Clara La Rosa ◽  
Claudia La Mastra ◽  
...  

Several studies—albeit with still inconclusive and limited findings—began to focus on the effect of drinking alcohol on telomere length (TL). Here, we present results from a systematic review of these epidemiological studies to investigate the potential association between alcohol consumption, alcohol-related disorders, and TL. The analysis of fourteen studies—selected from PubMed, Medline, and Web of Science databases—showed that people with alcohol-related disorders exhibited shorter TL, but also that alcohol consumption per se did not appear to affect TL in the absence of alcohol abuse or dependence. Our work also revealed a lack of studies in the periconceptional period, raising the need for evaluating this potential relationship during pregnancy. To fill this gap, we conducted a pilot study using data and samples form the Mamma & Bambino cohort. We compared five non-smoking but drinking women with ten non-smoking and non-drinking women, matched for maternal age, gestational age at recruitment, pregestational body mass index, and fetal sex. Interestingly, we detected a significant difference when analyzing relative TL of leukocyte DNA of cord blood samples from newborns. In particular, newborns from drinking women exhibited shorter relative TL than those born from non-drinking women (p = 0.024). Although these findings appeared promising, further research should be encouraged to test any dose–response relationship, to adjust for the effect of other exposures, and to understand the molecular mechanisms involved.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 607.2-608
Author(s):  
S. Giambalvo ◽  
C. Garaffoni ◽  
E. Silvagni ◽  
F. Furini ◽  
M. Govoni ◽  
...  

Background:Fertility is thought to be not reduced in women affected by systemic lupus erythematosus (SLE), however disease-related factors, psychosocial effects of chronic disease as well as medication exposure might impair gonadal function.Objectives:The aim of this systematic review was to explore clinical, hormonal, serological, instrumental and management factors associated with fertility outcomes in women of childbearing age with SLE.Methods:This systematic review was conducted following the Preferred Reporting Items for systematic reviews and Meta-analysis (PRISMA) statement. All articles available in English, published from 1972 to 15th August 2020 in Pubmed, EMBASE, Scopus and Cochrane Library. Study selection and data collection were performed by two independent reviewers. All data were extracted using a standardized template. Risk of bias of the included studies was assessed by using the NIH risk-of-bias tool [1].Results:Of 788 abstracts, we included in the review 45 studies of which 1 systematic literature reviews, 16 cross-sectional studies, 15 cohort studies, 12 observational studies and 1 case-series study, with a total of 4656 patients. The mean age was 33.5 ± 5.4 years, while the mean disease duration was 97.4 ± 65.2 months. Figure 1 illustrates the quality of the included studies. Definitions of fertility/premature ovarian failure (POF) adopted in the studies varied in terms of the number of months of amenorrhea considered. Most studies did not use a hormonally based definition of fertility. Clinical factors associated with the development of POF were older age at the time initiation of therapy and older age at the onset of SLE disease. Cyclophosphamide exposure (CYC) and its cumulative dose influenced gonadal function in SLE women, leading to amenorrhoea and ovarian failure, as reported in 19 studies. Mycophenolate, azathioprine, calcineurin inhibitors and steroids seem to be associated with a lower risk of ovarian failure compared to CYC. 3 studies demonstrated that POF was more frequent in patients treated with CYC not receiving gonadotropin-releasing hormone analogues (GnRH) in comparison to those co-treated with GnRH. 11 studies evaluated the impact of damage and disease activity on ovarian reserve in patients with SLE with conflicting evidence. Finally, 18 studies investigated exposure to hormonal and serological factors able to influence fertility outcomes; among others nor Anti-Müllerian Hormone, neither anti-corpus luteum antibodies were associated with POF.Conclusion:The role of disease activity on fertility in SLE patients is contradictory. Regarding management factors associated with fertility in SLE women of childbearing age, the strongest evidence is about the treatment with CYC and its cumulative dose. Hormonal and serological factors did not impact on fertility outcome but might be used as a surrogate of fertility, especially after treatment with disease-specific drugs.References:[1]Study Quality Assessment Tools NIH. https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools.[2]Andreoli L. et al. EULAR recommendations for women’s health and the management of family planning, assisted reproduction, pregnancy and menopause in patients with systemic lupus erythematosus and/or antiphospholipid syndrome. Ann Rheum Dis. 2017; 76: 476–485.Disclosure of Interests:None declared


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