Telehealth and Intimate Partner Violence: A Systematic Review of Telehealth Interventions
Bibliographic record
Abstract
Background Intimate partner violence (IPV) is a global public health problem and often leads to deleterious outcomes. IPV is associated with elevated psychological distress, impaired physical health, and high rates of morbidity and mortality. Since the start of the COVID-19 pandemic in December 2019, there has been an exponential increase in the rates of IPV worldwide. The COVID-19 pandemic has also heralded an increased use of telehealth to deliver medical and psychological services. Telehealth is defined as the use of technology communication systems (ie, mobile apps, videoconferencing, etc) in the provision of health care. Given increases in access to Wi-Fi and computing technology, telehealth has become increasingly popular in all types of health care interventions, including those for IPV. Objective Reviewing and synthesizing information on telehealth intervention, screening, and prevention for IPV is essential for our knowledge of the efficacy and future of telehealth in IPV. Accordingly, this study conducted a systematic review of telehealth interventions for IPV, with a focus on screening and intervention for IPV victimization and perpetration. Methods This study applied the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to a literature search that identified research evaluating telehealth and telemedicine interventions for DV and IPV. Only 14 studies met the study inclusion criteria, with 3 articles focusing on telehealth screening for IPV and 11 articles studying telehealth interventions for IPV. Results The studies demonstrated heterogeneity in the (1) purpose of the intervention (screening, prevention, or treatment), (2) type of intervention delivered via telehealth (website vs telephone vs videoconferencing) and intervention dosage, and (3) outcomes assessed. Scientific rigor according to the Oxford Center for Evidence-Based Medicine was also variable. Studies predominantly focused on women. The results show promising evidence of the efficacy of telehealth screening (over face-to-face screening) for IPV victimization. Only specific types of telehealth interventions were shown to have promise for reducing psychological distress among IPV survivors. The results suggest that telehealth may be a viable option for the delivery of IPV screening and intervention programs, especially when face-to-face interaction is not feasible. Conclusions The present findings highlight the growing utilization of telehealth modalities for IPV screening and intervention. Further research is needed to enhance the evidence base for the telehealth screening, prevention, and intervention of IPV and to evaluate the effectiveness of the approaches for individuals involved in IPV. Conflicts of Interest None declared.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.049 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.009 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".