The Impact of Technology on Adolescent Sexual and Reproductive Needs

Cornelius, Judith B.; Smoot, Jalessa

doi:10.3390/ijerph19148684

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…Despite their proven efficacy in other health domains and their capabilities for providing cost-effective, accessible care [37], mobile apps specifically designed for preconception health are not being developed at the same pace as other health technologies. The post-COVID-19 era has seen an increased reliance on digital solutions for health services, reflecting a shift in user behavior and acceptance of online health services [38,39]. However, the surge in general health app development has not paralleled innovations in preconception health, marking a critical area for future research and development [40].…”

Section: Principal Findingsmentioning

confidence: 99%

Internet-Based Interventions for Preventing Premature Birth in Preconceptional Women of Childbearing Age: A Systematic Review (Preprint)

Kim,

Jung,

Park

et al. 2024

Preprint

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BACKGROUND Preconception health is essential for preventing premature birth, yet engagement in preconception care remains low. Despite the development of several internet-based interventions post-COVID-19, a thorough evaluation of their effectiveness in enhancing preconception care and preventing premature births is necessary. OBJECTIVE This systematic review aims to assess the study designs and evaluate the effectiveness of internet-based interventions in preventing premature birth among preconceptional women of childbearing age. METHODS We conducted a comprehensive search of MEDLINE, Embase, CINAHL, and Cochrane Library databases to identify randomized trials and quasi-experimental studies on internet-based interventions for preventing premature birth. The search was global and included studies published up to December 2023, without language or geographic restrictions. Two authors independently assessed the risk of bias using the revised Cochrane RoB tool (RoB 2), adhering to PRISMA guidelines. A meta-analysis was not conducted due to heterogeneity in populations, measurements, and interventions. RESULTS Eleven articles were included, with varying study approaches. The overall risk of bias was high in most studies. Interventions improved knowledge of reproductive health but had no significant effect on self-efficacy related to preconception health promotion. While some behavioral changes to reduce preconception care risks were effectively promoted, impacts on folic acid use, contraception initiation, and dual method use were inconsistent. Furthermore, there were no significant reductions in sexually transmitted infections or unplanned pregnancies. CONCLUSIONS Internet-based interventions showed mixed effectiveness across different reproductive health outcomes, with general ineffectiveness in improving reproductive health status. The results, derived from a limited number of studies with a high risk of bias, suggest a need for caution in their application. Future research, including robust clinical trials, is vital to develop, evaluate, and disseminate effective and safe internet-based interventions for preconception care. CLINICALTRIAL PROSPERO CRD42021277024; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021277024

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Section: Principal Findingsmentioning

confidence: 99%

Internet-Based Interventions for Preventing Premature Birth in Preconceptional Women of Childbearing Age: A Systematic Review (Preprint)

Kim,

Jung,

Park

et al. 2024

Preprint

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“…significant regression coefficients for the treatment variable associated with the participant-level intercept or slope growth factors), post hoc analysis will examine the roles of substance use and technology use as potential mediators. A primary assumption is that uTECH will be associated with improvement in awareness of the ways in which technology influences engagement in HIV risk and substance use behavior [76][77][78]. For each mediator, validated substance use and technology reports will be entered into the model.…”

Section: Mediation and Moderationmentioning

confidence: 99%

Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial

Holloway,

Wu,

Boka

et al. 2024

JMIR Res Protoc

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Background Sexual and gender minority (SGM) young people are disproportionately affected by HIV in the United States, and substance use is a major driver of new infections. People who use web-based venues to meet sex partners are more likely to report substance use, sexual risk behaviors, and sexually transmitted infections. To our knowledge, no machine learning (ML) interventions have been developed that use web-based and digital technologies to inform and personalize HIV and substance use prevention efforts for SGM young people. Objective This study aims to test the acceptability, appropriateness, and feasibility of the uTECH intervention, a SMS text messaging intervention using an ML algorithm to promote HIV prevention and substance use harm reduction among SGM people aged 18 to 29 years who have sex with men. This intervention will be compared to the Young Men’s Health Project (YMHP) alone, an existing Centers for Disease Control and Prevention best evidence intervention for young SGM people, which consists of 4 motivational interviewing–based counseling sessions. The YMHP condition will receive YMHP sessions and will be compared to the uTECH+YMHP condition, which includes YMHP sessions as well as uTECH SMS text messages. Methods In a study funded by the National Institutes of Health, we will recruit and enroll SGM participants (aged 18-29 years) in the United States (N=330) to participate in a 12-month, 2-arm randomized comparison trial. All participants will receive 4 counseling sessions conducted over Zoom (Zoom Video Communications, Inc) with a master’s-level social worker. Participants in the uTECH+YMHP condition will receive curated SMS text messages informed by an ML algorithm that seek to promote HIV and substance use risk reduction strategies as well as undergoing YMHP counseling. We hypothesize that the uTECH+YMHP intervention will be considered acceptable, appropriate, and feasible to most participants. We also hypothesize that participants in the combined condition will experience enhanced and more durable reductions in substance use and sexual risk behaviors compared to participants receiving YMHP alone. Appropriate statistical methods, models, and procedures will be selected to evaluate primary hypotheses and behavioral health outcomes in both intervention conditions using an α<.05 significance level, including comparison tests, tests of fixed effects, and growth curve modeling. Results This study was funded in August 2019. As of June 2024, all participants have been enrolled. Data analysis has commenced, and expected results will be published in the fall of 2025. Conclusions This study aims to develop and test the acceptability, appropriateness, and feasibility of uTECH, a novel approach to reduce HIV risk and substance use among SGM young adults. Trial Registration ClinicalTrials.gov NCT04710901; https://clinicaltrials.gov/study/NCT047...

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Digital intervention to improve health services for young people in Zimbabwe: process evaluation of ‘Zvatinoda’ (what we want) using the RE-AIM framework (Preprint)

Mackworth-Young,

Charashika,

Chiringwaringwa

et al. 2023

JMIR Formative Research

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The Impact of Technology on Adolescent Sexual and Reproductive Needs

Cited by 3 publications

References 21 publications

Internet-Based Interventions for Preventing Premature Birth in Preconceptional Women of Childbearing Age: A Systematic Review (Preprint)

Internet-Based Interventions for Preventing Premature Birth in Preconceptional Women of Childbearing Age: A Systematic Review (Preprint)

Novel Machine Learning HIV Intervention for Sexual and Gender Minority Young People Who Have Sex With Men (uTECH): Protocol for a Randomized Comparison Trial

Digital intervention to improve health services for young people in Zimbabwe: process evaluation of ‘Zvatinoda’ (what we want) using the RE-AIM framework (Preprint)

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