IDEAS home Printed from https://ideas.repec.org/a/eee/cysrev/v162y2024ics0190740924002585.html

Enhancing engagement in parenting programs: A comparative study of in-person, online, and telehealth formats

Author

Listed:
  • Cai, Qiyue
  • Buchanan, Gretchen
  • Simenec, Tori
  • Lee, Sun-Kyung
  • Basha, Sydni A.J.
  • Gewirtz, Abigail H.

Abstract

Parenting programs are widely used to prevent and ameliorate children’s emotional and behavioral problems but low levels of engagement undermine intervention effectiveness and reach within and beyond research settings. Technology can provide flexible and cost-effective alternate service-delivery formats for parenting programs, and studies are needed to assess the extent to which parents are willing to engage with digitally assisted formats.

Suggested Citation

  • Cai, Qiyue & Buchanan, Gretchen & Simenec, Tori & Lee, Sun-Kyung & Basha, Sydni A.J. & Gewirtz, Abigail H., 2024. "Enhancing engagement in parenting programs: A comparative study of in-person, online, and telehealth formats," Children and Youth Services Review, Elsevier, vol. 162(C).
  • Handle: RePEc:eee:cysrev:v:162:y:2024:i:c:s0190740924002585
    DOI: 10.1016/j.childyouth.2024.107686
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0190740924002585
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.childyouth.2024.107686?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Zeileis, Achim & Kleiber, Christian & Jackman, Simon, 2008. "Regression Models for Count Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i08).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nikita Rao & Daniel J. Whitaker & Cathleen E. Willging & Erin A. Weeks & Shannon Self-Brown & Jessica Koreis & Mary Helen O’Connor, 2026. "Navigating Cultural Adaptation: Refugee Parents’ Perspectives on the SafeCare Parenting Program," Journal of International Migration and Integration, Springer, vol. 27(1), pages 141-168, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adrian Richter & Julia Truthmann & Jean-François Chenot & Carsten Oliver Schmidt, 2021. "Predicting Physician Consultations for Low Back Pain Using Claims Data and Population-Based Cohort Data—An Interpretable Machine Learning Approach," IJERPH, MDPI, vol. 18(22), pages 1-14, November.
    2. Kristian Kleinke & Jost Reinecke, 2013. "Multiple imputation of incomplete zero-inflated count data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(3), pages 311-336, August.
    3. repec:plo:pone00:0190270 is not listed on IDEAS
    4. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    5. Gerko Vink & Stef van Buuren, 2013. "Multiple Imputation of Squared Terms," Sociological Methods & Research, , vol. 42(4), pages 598-607, November.
    6. Gargiulo, Maria, 2025. "From disparate lists to population estimates: A multiple systems estimation workflow for mortality analysis in conflict settings," SocArXiv avc97_v1, Center for Open Science.
    7. David Kaplan & Jianshen Chen, 2012. "A Two-Step Bayesian Approach for Propensity Score Analysis: Simulations and Case Study," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 581-609, July.
    8. Abhilash Bandam & Eedris Busari & Chloi Syranidou & Jochen Linssen & Detlef Stolten, 2022. "Classification of Building Types in Germany: A Data-Driven Modeling Approach," Data, MDPI, vol. 7(4), pages 1-23, April.
    9. Boonstra Philip S. & Little Roderick J.A. & West Brady T. & Andridge Rebecca R. & Alvarado-Leiton Fernanda, 2021. "A Simulation Study of Diagnostics for Selection Bias," Journal of Official Statistics, Sciendo, vol. 37(3), pages 751-769, September.
    10. Lin Lin & Rachel L Spreng & Kelly E Seaton & S Moses Dennison & Lindsay C Dahora & Daniel J Schuster & Sheetal Sawant & Peter B Gilbert & Youyi Fong & Neville Kisalu & Andrew J Pollard & Georgia D Tom, 2024. "GeM-LR: Discovering predictive biomarkers for small datasets in vaccine studies," PLOS Computational Biology, Public Library of Science, vol. 20(11), pages 1-23, November.
    11. Aleix Alcacer & Irene Epifanio & Jorge Valero & Alfredo Ballester, 2021. "Combining Classification and User-Based Collaborative Filtering for Matching Footwear Size," Mathematics, MDPI, vol. 9(7), pages 1-15, April.
    12. Totterman, Stephen, 2021. "Vehicle-based recreation and compliance for three beaches in northern New South Wales," OSF Preprints ja8h6, Center for Open Science.
    13. Rapp, Hannah & Fredrick, Stephanie & Nickerson, Amanda, 2025. "Cyber victimization reports between parents and children: an examination of agreement predictors," Children and Youth Services Review, Elsevier, vol. 177(C).
    14. Huang Lin & Merete Eggesbø & Shyamal Das Peddada, 2022. "Linear and nonlinear correlation estimators unveil undescribed taxa interactions in microbiome data," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    15. Renate S M Buisman & Katharina Pittner & Marieke S Tollenaar & Jolanda Lindenberg & Lisa J M van den Berg & Laura H C G Compier-de Block & Joost R van Ginkel & Lenneke R A Alink & Marian J Bakermans-K, 2020. "Intergenerational transmission of child maltreatment using a multi-informant multi-generation family design," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-23, March.
    16. Brian Nolan & Juan C. Palomino & Philippe Van Kerm & Salvatore Morelli, 2022. "Intergenerational wealth transfers in Great Britain from the Wealth and Assets Survey in comparative perspective," Fiscal Studies, John Wiley & Sons, vol. 43(2), pages 179-199, June.
    17. Atin Adhikari & Jingjing Yin, 2020. "Short-Term Effects of Ambient Ozone, PM 2.5, and Meteorological Factors on COVID-19 Confirmed Cases and Deaths in Queens, New York," IJERPH, MDPI, vol. 17(11), pages 1-13, June.
    18. Wei-En Lu & Ai Ni, 2025. "Causal effect estimation on restricted mean survival time under case-cohort design via propensity score stratification," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 31(4), pages 898-931, October.
    19. Jie Li & Helin Fu & Kaixun Hu & Wei Chen, 2023. "Data Preprocessing and Machine Learning Modeling for Rockburst Assessment," Sustainability, MDPI, vol. 15(18), pages 1-32, September.
    20. Ritzinger, Ulrike & Puchinger, Jakob & Rudloff, Christian & Hartl, Richard F., 2022. "Comparison of anticipatory algorithms for a dial-a-ride problem," European Journal of Operational Research, Elsevier, vol. 301(2), pages 591-608.
    21. Christopher J Greenwood & George J Youssef & Primrose Letcher & Jacqui A Macdonald & Lauryn J Hagg & Ann Sanson & Jenn Mcintosh & Delyse M Hutchinson & John W Toumbourou & Matthew Fuller-Tyszkiewicz &, 2020. "A comparison of penalised regression methods for informing the selection of predictive markers," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:cysrev:v:162:y:2024:i:c:s0190740924002585. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/childyouth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.