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Record W4299343142 · doi:10.2196/39326

Telehealth and Intimate Partner Violence: A Systematic Review of Telehealth Interventions

2022· review· en· W4299343142 on OpenAlex
Georgia Yin Chun Chan, Margarita Cruz-Sánchez, Prachi H. Bhuptani, Christopher Millman, Lindsay M. Orchowski

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.

venuePublished in a venue whose home country is Canada.
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

VenueIproceedings · 2022
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsTelehealthPsychological interventionDomestic violenceTelemedicineMedicineIntervention (counseling)Health careSuicide preventionNursingPoison controlFamily medicineMedical emergencyPolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.329
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.095
GPT teacher head0.434
Teacher spread0.339 · 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