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Record W4293364168 · doi:10.1002/cl2.1271

Technology‐based and digital interventions for intimate partner violence: A systematic review and meta‐analysis

2022· review· en· W4293364168 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCampbell Systematic Reviews · 2022
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionMental healthCINAHLDomestic violenceAnxietyMeta-analysisPsychiatryRandomized controlled trialMedicineSystematic reviewGrey literatureMEDLINEPoison controlClinical psychologyPsychologySuicide preventionMedical emergency

Abstract

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Abstract Background A growing body of research shows the promise and efficacy of technology‐based or digital interventions in improving the health and well‐being of survivors of intimate partner violence (IPV). In addition, mental health comorbidities such as anxiety, post‐traumatic stress disorder (PTSD), and depression occur three to five times more frequently in survivors of IPV than non‐survivors, making these comorbidities prominent targets of technology‐based interventions. Still, research on the long‐term effectiveness of these interventions in reducing IPV victimization and adverse mental health effects is emergent. The significant increase in the number of trials studying technology‐based therapies on IPV‐related outcomes has allowed us to quantify the effectiveness of such interventions for mental health and victimization outcomes in survivors. This meta‐analysis and systematic review provide critical insight from several randomized controlled trials (RCTs) on the overall short and long‐term impact of technology‐based interventions on the health and well‐being of female IPV survivors. Objectives To synthesize current evidence on the effects of technology‐based or digital interventions on mental health outcomes (depression, anxiety, and PTSD) and victimization outcomes (physical, psychological, and sexual abuse) among IPV survivors. Search Methods We examined multiple traditional and grey databases for studies published from 2007 to 2021. Traditional databases (such as PubMed Central, Web of Science, CINAHL Plus, and PsychINFO) and grey databases were searched between April 2019 and February 2021. In addition, we searched clinical trial registries, government repositories, and reference lists. Authors were contacted where additional data was needed. We identified 3210 studies in traditional databases and 1257 from grey literature. Over 2198 studies were determined to be duplicates and eliminated, leaving 64 studies after screening titles and abstracts. Finally, 17 RCTs were retained for meta‐analysis. A pre‐registered protocol was developed and published before conducting this meta‐analysis. Selection Criteria We included RCTs targeting depression, anxiety, PTSD outcomes, and victimization outcomes (physical, sexual, and psychological violence) among IPV survivors using a technology‐based intervention. Eligible RCTs featured a well‐defined control group. There were no study restrictions based on participant gender, study setting, or follow‐up duration. Included studies additionally supplied outcome data for calculating effect sizes for our desired outcome. Studies were available in full text and published between 2007 and 2021 in English. Data Collection and Analysis We extracted relevant data and coded eligible studies. Using Cochrane's RevMan software, summary effect sizes ( Outcome by Time ) were assessed using an independent fixed‐effects model. Standardized mean difference (SMD) effect sizes (or Cohen's d ) were evaluated using a Type I error rate and an alpha of 0.05. The overall intervention effects were analyzed using the Z ‐statistic with a p ‐value of 0.05. Cochran's Q test and Higgins' I 2 statistics were utilized to evaluate and confirm the heterogeneity of each cumulative effect size. The Cochrane risk of bias assessment for randomized trials (RoB 2) was used to assess the quality of the studies. Campbell Systematic Reviews registered and published this study's protocol in January 2021. No exploratory moderator analysis was conducted; however, we report our findings with and without outlier studies in each meta‐analysis. Main Results Pooled results from 17 RCTs yielded 18 individual effect size comparisons among 4590 survivors (all females). Survivors included college students, married couples, substance‐using women in community prisons, pregnant women, and non‐English speakers, and sample sizes ranged from 15 to 672. Survivors' ages ranged from 19 to 41.5 years. Twelve RCTs were conducted in the United States and one in Canada, New Zealand, China (People's Republic of), Kenya, and Australia. The results of this meta‐analysis found that technology‐based interventions significantly reduced depression among female IPV survivors at 0–3 months only (SMD = −0.08, 95% confidence interval [CI] = −0.17 to −0.00), anxiety among IPV survivors at 0–3 months (SMD = −0.27, 95% CI = −0.42 to −0.13, p = 0.00, I 2 = 25%), and physical violence victimization among IPV survivors at 0–6 months (SMD = −0.22, 95% CI = −0.38 to −0.05). We found significant reductions in psychological violence victimization at 0–6 months (SMD = −0.34, 95% CI = −0.47 to −0.20) and at >6 months (SMD = −0.29, 95% CI = −0.39 to −0.18); however, at both time points, there were outlier studies. At no time point did digital interventions significantly reduce PTSD (SMD = −0.04, 95% CI = −0.14 to 0.06, p = .46, I 2 = 0%), or sexual violence victimization (SMD = −0.02, 95% CI = −0.14 to 0.11, I 2 = 21%) among female IPV survivors for all. With outlier studies removed from our analysis, all summary effect sizes were small, and this small number of comparisons prevented moderator analyses. Authors' Conclusions The results of this meta‐analysis are promising. Our findings highlight the effectiveness of IPV‐mitigating digital intervention as an add‐on (not a replacement) to traditional modalities using a coordinated response strategy. Our findings contribute to the current understanding of “what works” to promote survivors' mental health, safety, and well‐being. Future research could advance the science by identifying active intervention ingredients, mapping out intervention principles/mechanisms of action, best modes of delivery, adequate dosage levels using the treatment intensity matching process, and guidelines to increase feasibility and acceptability.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0210.007
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.209
GPT teacher head0.447
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it