Video Consultations and Safety App Targeting Pregnant Women Exposed to Intimate Partner Violence in Denmark and Spain: Nested Cohort Intervention Study (STOP Study).

BACKGROUND: Intimate partner violence (IPV) during pregnancy is a public health issue with wide-ranging consequences for both the mother and fetus, and interventions are needed. Therefore, the Stop Intimate Partner Violence in Pregnancy (STOP) cohort was established with the overall aim to identify pregnant women exposed to IPV through digital screening and offer women screening positive for IPV a digital supportive intervention. OBJECTIVE: The aim of this study was to (1) introduce the design and profile of the STOP cohort study, (2) assess the feasibility of implementing digital IPV screening among pregnant women, and (3) assess the feasibility of implementing a digital supportive intervention targeting pregnant women exposed to IPV. METHODS: Pregnant women attending antenatal care in the Region of Southern Denmark and in Andalucía, Spain were offered digital screening for IPV using validated scales (Abuse Assessment Screen and Women Abuse Screening Tool). Women who screened positive were eligible to receive a digital supportive intervention. The intervention consisted of 3-6 video consultations with an IPV counselor and a safety planning app. In Denmark, IPV counselors were antenatal care midwives trained by a psychologist specialized in IPV, whereas in Spain, the counselor was a psychologist. RESULTS: Data collection started in February 2021 and was completed in October 2022. Across Denmark and Spain, a total of 19,442 pregnant women were invited for IPV screening and 16,068 women (82.65%) completed the screening. More women in Spain screened positive for exposure to IPV (350/2055, 17.03%) than in Denmark (1195/14,013, 8.53%). Among the women who screened positive, only 31.39% (485/1545) were eligible to receive the intervention with only 104 (21.4%) of these women ultimately receiving it. CONCLUSIONS: Digital screening for IPV among pregnant women is feasible in an antenatal care context in Denmark and Spain; however, a digital supportive intervention during pregnancy appears to have limited feasibility as only a minor subgroup of women who screened positive for eligibility received the intervention. More research is needed on how to best support pregnant women exposed to IPV if universal IPV screening is to be implemented in antenatal care.

Artificial intelligence in COVID-19 evidence syntheses was underutilized, but impactful: a methodological study.

OBJECTIVES: A rapidly developing scenario like a pandemic requires the prompt production of high-quality systematic reviews, which can be automated using artificial intelligence (AI) techniques. We evaluated the application of AI tools in COVID-19 evidence syntheses. STUDY DESIGN: After prospective registration of the review protocol, we automated the download of all open-access COVID-19 systematic reviews in the COVID-19 Living Overview of Evidence database, indexed them for AI-related keywords, and located those that used AI tools. We compared their journals' JCR Impact Factor, citations per month, screening workloads, completion times (from pre-registration to preprint or submission to a journal) and AMSTAR-2 methodology assessments (maximum score 13 points) with a set of publication date matched control reviews without AI. RESULTS: Of the 3,999 COVID-19 reviews, 28 (0.7%, 95% CI 0.47-1.03%) made use of AI. On average, compared to controls (n = 64), AI reviews were published in journals with higher Impact Factors (median 8.9 vs. 3.5, P < 0.001), and screened more abstracts per author (302.2 vs. 140.3, P = 0.009) and per included study (189.0 vs. 365.8, P < 0.001) while inspecting less full texts per author (5.3 vs. 14.0, P = 0.005). No differences were found in citation counts (0.5 vs. 0.6, P = 0.600), inspected full texts per included study (3.8 vs. 3.4, P = 0.481), completion times (74.0 vs. 123.0, P = 0.205) or AMSTAR-2 (7.5 vs. 6.3, P = 0.119). CONCLUSION: AI was an underutilized tool in COVID-19 systematic reviews. Its usage, compared to reviews without AI, was associated with more efficient screening of literature and higher publication impact. There is scope for the application of AI in automating systematic reviews.

Women survivors of intimate partner violence talk about using e-health during pregnancy: a focus group study.

BACKGROUND: Pregnancy is a period of particular vulnerability to experience intimate partner violence against women (IPVAW). eHealth strategies have been implemented to identify women exposed to IPVAW and to combat the abuse and empower them, but there is a lack of evidence on the use of these strategies among pregnant women. This work aims to identify the needs, concerns and preferences of survivors about the use of eHealth strategies to counsel and empower pregnant victims of IPVAW in antenatal care. METHODS: A focus group of six IPVAW survivors who had been pregnant was conducted and open questions about the use of eHealth strategies were asked. The session was recorded, transcribed and thematically analyzed. We identified three main themes: needs and worries of pregnant women experiencing IPVAW, key aspects of video counseling sessions and usefulness of safety planning apps. RESULTS: Women highlighted the relevant role of healthcare professionals-especially midwives-in the identification of IPVAW and the wellbeing of their children as one of the main concerns. They perceived video counseling and safety planning apps as valuable resources. The preferred contents for a video counseling intervention were awareness-raising of the situation, self-esteem and legal advice. They also proposed safety and pregnant-related aspects that should be taken into account in the design of the video counseling sessions and the safety planning app. CONCLUSIONS: Video counseling sessions and safety planning apps are potentially useful tools to counsel and empower women who experience IPVAW during pregnancy. Midwives play a key role in this endeavor.

Influence of placebo effect in mental disorders research: A systematic review and meta-analysis.

BACKGROUND: Randomized controlled trials (RCT) in mental disorders research commonly use active control groups including psychotherapeutic shams or inactive medication. This meta-analysis assessed whether placebo conditions (active controls) had an effect compared to no treatment or usual care (passive controls). METHODS: PubMed, Scopus, PsycINFO, PsycARTICLES, Ovid, the Cochrane Central Register of Controlled Trials and Web of Science were searched from inception to April 2021 and reference lists of relevant articles. Three-arm RCTs, including active and passive control groups, were selected. Where individual standardized mean difference (SMD) was calculable, random effects meta-analyses were performed to estimate an overall effect size with 95% confidence intervals (CI) comparing active vs passive controls. Heterogeneity was assessed using I² statistic and meta-regression. Funnel asymmetry was evaluated using Egger's test (Prospero registration: CRD42021242940). RESULTS: 24 articles with 25 relevant RCTs were included in the review, of which 11 studies were of high risk of bias. There was an improvement in outcomes favouring the placebo conditions, compared to passive controls, overall (25 studies, SMD 0.24, 95% CI 0.06-0.42, I² = 43%) and in subgroups with anxiety (SMD 0.45, 95% CI 0.07-0.84, I² = 59%) or depression (SMD 0.22, 95% CI 0.04-0.39, I² = 0%). Meta-regression did not show a significant explanation for heterogeneity. Egger's test showed no asymmetry (p = .200). CONCLUSIONS: A small placebo effect was observed in mental disorders research overall, and in patients with anxiety or depression. These findings should be interpreted with caution in the light of heterogeneity and risk of bias.

Computer-based cognitive interventions in acquired brain injury: A systematic review and meta-analysis of randomized controlled trials.

INTRODUCTION: Acquired brain injury (ABI) leads to cognitive deficits in a great variety of cognitive functions. Interventions aimed at reducing such deficits include the use of computer-based cognitive interventions. The present work synthetizes and quantitively analyses the effect of computer-based cognitive interventions in ABI. METHODS: PubMed, Scopus, Web of Science, ProQuest and Ovid databases were searched for randomized controlled trials (RCT) addressing this issue. A total number of 8 randomized-controlled trials were included for systematic review and meta-analysis. Univariate meta-analyses were conducted for every cognitive function, producing aggregates when a study contributed more than one effect size per cognitive domain. RESULTS: Random-effects meta-analyses showed an improvement of Visual and Verbal working memory, while other domains like Attention, Processing speed, Executive functions and Memory were not benefited by the interventions. CONCLUSIONS: Computer-based cognitive interventions might be a beneficial intervention for ABI population to improve Visual and Verbal working memory, although no effect was found in other cognitive domains. Implications and possible future directions of the research are discussed.