IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v365y2025ics027795362401030x.html

Differences in responsibility for child healthcare by parent gender: A cross-sectional study

Author

Listed:
  • Heffernan, Marie E.
  • Alfieri, Nina L.
  • Keese, Ashley
  • Bendelow, Anne C.
  • Casale, Mia
  • Smith, Tracie L.
  • Menker, Carly G.
  • Parker, John James
  • Garfield, Craig F.
  • Davis, Matthew M.
  • Macy, Michelle L.

Abstract

While prior work suggests that fathers are more involved in childcare than ever before, little is known about the balance of responsibility for scheduling child healthcare appointments and taking children to healthcare visits. In this study we sought to examine gender differences in parent responsibilities for healthcare-focused tasks.

Suggested Citation

  • Heffernan, Marie E. & Alfieri, Nina L. & Keese, Ashley & Bendelow, Anne C. & Casale, Mia & Smith, Tracie L. & Menker, Carly G. & Parker, John James & Garfield, Craig F. & Davis, Matthew M. & Macy, Mic, 2025. "Differences in responsibility for child healthcare by parent gender: A cross-sectional study," Social Science & Medicine, Elsevier, vol. 365(C).
    • Handle: RePEc:eee:socmed:v:365:y:2025:i:c:s027795362401030x
    DOI: 10.1016/j.socscimed.2024.117576
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S027795362401030X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.socscimed.2024.117576?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. Jiming Jiang & P. Lahiri, 2006. "Mixed model prediction and small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-96, June.
    2. Lyn Craig & Brendan Churchill, 2021. "Dual‐earner parent couples’ work and care during COVID‐19," Gender, Work and Organization, Wiley Blackwell, vol. 28(S1), pages 66-79, January.
    3. Moira Daly & Fane Groes, 2017. "Who takes the child to the doctor? Mom, pretty much all of the time," Applied Economics Letters, Taylor & Francis Journals, vol. 24(17), pages 1267-1276, October.
    4. Scott Schieman & Leah Ruppanner & Melissa A. Milkie, 2018. "Who Helps with Homework? Parenting Inequality and Relationship Quality Among Employed Mothers and Fathers," Journal of Family and Economic Issues, Springer, vol. 39(1), pages 49-65, March.
    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. Kristy Buzard & Laura K Gee & Olga Stoddard, 2025. "Who You Gonna Call? Gender Inequality in External Demands for Parental Involvement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(4), pages 2805-2849.

    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. K. Shuvo Bakar & Nicholas Biddle & Philip Kokic & Huidong Jin, 2020. "A Bayesian spatial categorical model for prediction to overlapping geographical areas in sample surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 535-563, February.
    2. J. N. K. Rao, 2015. "Inferential issues in model-based small area estimation: some new developments," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(4), pages 491-510, December.
    3. Jan Pablo Burgard & Ralf Münnich, 2015. "Sae Teaching Using Simulations," Statistics in Transition New Series, Polish Statistical Association, vol. 16(4), pages 603-610, December.
    4. Masaki,Takaaki & Newhouse,David Locke & Silwal,Ani Rudra & Bedada,Adane & Engstrom,Ryan, 2020. "Small Area Estimation of Non-Monetary Poverty with Geospatial Data," Policy Research Working Paper Series 9383, The World Bank.
    5. Sedeño-Noda, A. & González-Dávila, E. & González-Martín, C. & González-Yanes, A., 2009. "Preemptive benchmarking problem: An approach for official statistics in small areas," European Journal of Operational Research, Elsevier, vol. 196(1), pages 360-369, July.
    6. N. Salvati & N. Tzavidis & M. Pratesi & R. Chambers, 2012. "Small area estimation via M-quantile geographically weighted regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(1), pages 1-28, March.
    7. Molina, Isabel, 2006. "Uncertainty under a multivariate nested-error regression model with logarithmic transformation," DES - Working Papers. Statistics and Econometrics. WS ws066117, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Miguel Boubeta & María José Lombardía & Domingo Morales, 2016. "Empirical best prediction under area-level Poisson mixed models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(3), pages 548-569, September.
    9. Lixia Diao & David D. Smith & Gauri Sankar Datta & Tapabrata Maiti & Jean D. Opsomer, 2014. "Accurate Confidence Interval Estimation of Small Area Parameters Under the Fay–Herriot Model," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(2), pages 497-515, June.
    10. Datta, Gauri S. & Torabi, Mahmoud & Rao, J.N.K. & Liu, Benmei, 2018. "Small area estimation with multiple covariates measured with errors: A nested error linear regression approach of combining multiple surveys," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 49-59.
    11. Francis K. C. Hui & Samuel Müller & Alan H. Welsh, 2021. "Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models," International Statistical Review, International Statistical Institute, vol. 89(1), pages 186-206, April.
    12. Militino, A.F. & Goicoa, T. & Ugarte, M.D., 2012. "Estimating the percentage of food expenditure in small areas using bias-corrected P-spline based estimators," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2934-2948.
    13. Enrico Fabrizi & Caterina Giusti & Nicola Salvati & Nikos Tzavidis, 2014. "Mapping average equivalized income using robust small area methods," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 685-701, August.
    14. Torabi, Mahmoud & Rao, J.N.K., 2013. "Estimation of mean squared error of model-based estimators of small area means under a nested error linear regression model," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 76-87.
    15. Han Ying, 2020. "Discussion of “Small area estimation: its evolution in five decades”, by Malay Ghosh," Statistics in Transition New Series, Statistics Poland, vol. 21(4), pages 30-34, August.
    16. Leah Ruppanner & Xiao Tan & Andrea Carson & Shaun Ratcliff, 2021. "Emotional and financial health during COVID‐19: The role of housework, employment and childcare in Australia and the United States," Gender, Work and Organization, Wiley Blackwell, vol. 28(5), pages 1937-1955, September.
    17. Swamy, P.A.V.B. & Mehta, Jatinder S. & Chang, I-Lok & Zimmerman, T.S., 2009. "An efficient method of estimating the true value of a population characteristic from its discrepant estimates," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2378-2389, April.
    18. Mirian Agus & Luisa Puddu & Rosalba Raffagnino, 2021. "Exploring the Similarity of Partners’ Love Styles and Their Relationships With Marital Satisfaction: A Dyadic Approach," SAGE Open, , vol. 11(4), pages 21582440211, October.
    19. Yoshimori, Masayo & Lahiri, Partha, 2014. "A new adjusted maximum likelihood method for the Fay–Herriot small area model," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 281-294.
    20. M. D. Ugarte & A. F. Militino & T. Goicoa, 2008. "Adjusting economic estimates in business surveys," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(11), pages 1253-1265.

    More about this item

    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:socmed:v:365:y:2025:i:c:s027795362401030x. 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/wps/find/journaldescription.cws_home/315/description#description .

    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.