IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v41y2023i1d10.1007_s40273-022-01201-2.html
   My bibliography  Save this article

Health-Related Quality-of-Life Outcomes of Very Preterm or Very Low Birth Weight Adults: Evidence From an Individual Participant Data Meta-Analysis

Author

Listed:
  • Corneliu Bolbocean

    (University of Oxford, Radcliffe Observatory Quarter)

  • Sylvia Pal

    (Netherlands Organisation for Applied Scientific Research)

  • Stef Buuren

    (Netherlands Organisation for Applied Scientific Research)

  • Peter J. Anderson

    (Monash University
    Murdoch Children’s Research Institute)

  • Peter Bartmann

    (University Hospital Bonn, Children’s Hospital)

  • Nicole Baumann

    (Monash University
    University of Leicester
    University of Warwick)

  • Jeanie L. Y. Cheong

    (University of Melbourne)

  • Brian A. Darlow

    (University of Otago Christchurch)

  • Lex W. Doyle

    (University of Melbourne
    The University of Melbourne)

  • Kari Anne I. Evensen

    (Norwegian University of Science and Technology
    Oslo Metropolitan University)

  • John Horwood

    (University of Otago Christchurch)

  • Marit S. Indredavik

    (Norwegian University of Science and Technology)

  • Samantha Johnson

    (University of Leicester)

  • Neil Marlow

    (University College London)

  • Marina Mendonça

    (University of Melbourne)

  • Yanyan Ni

    (University of Melbourne
    University College London)

  • Dieter Wolke

    (University of Warwick and Division of Health Sciences)

  • Lianne Woodward

    (University of Canterbury)

  • Erik Verrips

    (Netherlands Organisation for Applied Scientific Research)

  • Stavros Petrou

    (University of Oxford, Radcliffe Observatory Quarter)

Abstract

Background and Objective Assessment of health-related quality of life for individuals born very preterm and/or low birthweight (VP/VLBW) offers valuable complementary information alongside biomedical assessments. However, the impact of VP/VLBW status on health-related quality of life in adulthood is inconclusive. The objective of this study was to examine associations between VP/VLBW status and preference-based health-related quality-of-life outcomes in early adulthood. Methods Individual participant data were obtained from five prospective cohorts of individuals born VP/VLBW and controls contributing to the ‘Research on European Children and Adults Born Preterm’ Consortium. The combined dataset included over 2100 adult VP/VLBW survivors with an age range of 18–29 years. The main exposure was defined as birth before 32 weeks’ gestation (VP) and/or birth weight below 1500 g (VLBW). Outcome measures included multi-attribute utility scores generated by the Health Utilities Index Mark 3 and the Short Form 6D. Data were analysed using generalised linear mixed models in a one-step approach using fixed-effects and random-effects models. Results VP/VLBW status was associated with a significant difference in the Health Utilities Index Mark 3 multi-attribute utility score of − 0.06 (95% confidence interval − 0.08, − 0.04) in comparison to birth at term or at normal birthweight; this was not replicated for the Short Form 6D. Impacted functional domains included vision, ambulation, dexterity and cognition. VP/VLBW status was not associated with poorer emotional or social functioning, or increased pain. Conclusions VP/VLBW status is associated with lower overall health-related quality of life in early adulthood, particularly in terms of physical and cognitive functioning. Further studies that estimate the effects of VP/VLBW status on health-related quality-of-life outcomes in mid and late adulthood are needed.

Suggested Citation

  • Corneliu Bolbocean & Sylvia Pal & Stef Buuren & Peter J. Anderson & Peter Bartmann & Nicole Baumann & Jeanie L. Y. Cheong & Brian A. Darlow & Lex W. Doyle & Kari Anne I. Evensen & John Horwood & Marit, 2023. "Health-Related Quality-of-Life Outcomes of Very Preterm or Very Low Birth Weight Adults: Evidence From an Individual Participant Data Meta-Analysis," PharmacoEconomics, Springer, vol. 41(1), pages 93-105, January.
  • Handle: RePEc:spr:pharme:v:41:y:2023:i:1:d:10.1007_s40273-022-01201-2
    DOI: 10.1007/s40273-022-01201-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40273-022-01201-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40273-022-01201-2?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 search for a different version of it.

    References listed on IDEAS

    as
    1. William J Furlong & David H. Feeny & George W. Torrance & Ronald D. Barr, 2001. "The Health Utilities Index (HUI®) System for Assessing Health-Related Quality of Life in Clinical Studies," Centre for Health Economics and Policy Analysis Working Paper Series 2001-02, Centre for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada.
    Full references (including those not matched with items on IDEAS)

    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. Attema, Arthur E. & Brouwer, Werner B.F. & l’Haridon, Olivier & Pinto, Jose Luis, 2016. "An elicitation of utility for quality of life under prospect theory," Journal of Health Economics, Elsevier, vol. 48(C), pages 121-134.
    2. Erreygers, Guido & Van Ourti, Tom, 2011. "Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice," Journal of Health Economics, Elsevier, vol. 30(4), pages 685-694, July.
    3. Konstantin Tziridis & Jana Friedrich & Petra Brüeggemann & Birgit Mazurek & Holger Schulze, 2022. "Estimation of Tinnitus-Related Socioeconomic Costs in Germany," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    4. Chu, Filmer & Ohinmaa, Arto, 2016. "The obesity penalty in the labor market using longitudinal Canadian data," Economics & Human Biology, Elsevier, vol. 23(C), pages 10-17.
    5. David Feeny, 2002. "Commentary on Jack Dowie, “Decision validity should determine whether a generic or condition‐specific HRQOL measure is used in health care decisions”," Health Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 13-16, January.
    6. Martin Ringsten & Branimir Ivanic & Susanne Iwarsson & Eva Månsson Lexell, 2024. "Interventions to improve outdoor mobility among people living with disabilities: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 20(2), June.
    7. Steven Prus, 2007. "Age, SES, and Health: A Population Level Analysis of Health Inequalities over the Life Course," Social and Economic Dimensions of an Aging Population Research Papers 181, McMaster University.
    8. Martin Ringsten & Susanne Iwarsson & Eva Månsson Lexell, 2022. "PROTOCOL: Interventions to improve outdoor mobility among adults with disability," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(4), December.
    9. James E. Smith & Ralph L. Keeney, 2005. "Your Money or Your Life: A Prescriptive Model for Health, Safety, and Consumption Decisions," Management Science, INFORMS, vol. 51(9), pages 1309-1325, September.
    10. Samuel Aballéa & Aki Tsuchiya, 2007. "Seeing for yourself: feasibility study towards valuing visual impairment using simulation spectacles," Health Economics, John Wiley & Sons, Ltd., vol. 16(5), pages 537-543, May.
    11. Samer A. Kharroubi & Yara Beyh & Marwa Diab El Harake & Dalia Dawoud & Donna Rowen & John Brazier, 2020. "Examining the Feasibility and Acceptability of Valuing the Arabic Version of SF-6D in a Lebanese Population," IJERPH, MDPI, vol. 17(3), pages 1-15, February.
    12. Kaspar Walter Meili & Anna Månsdotter & Linda Richter Sundberg & Jan Hjelte & Lars Lindholm, 2022. "An initiative to develop capability-adjusted life years in Sweden (CALY-SWE): Selecting capabilities with a Delphi panel and developing the questionnaire," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-21, February.
    13. van Kippersluis, Hans & Van Ourti, Tom & O'Donnell, Owen & van Doorslaer, Eddy, 2009. "Health and income across the life cycle and generations in Europe," Journal of Health Economics, Elsevier, vol. 28(4), pages 818-830, July.
    14. Karen M. Kobayashi & Steven Prus & Zhiqiu Lin, 2008. "Ethnic Differences in Health: Does Immigration Status Matter?," Social and Economic Dimensions of an Aging Population Research Papers 230, McMaster University.
    15. Zhijun Tan & Ying Liang & Siming Liu & Wenjun Cao & Haibo Tu & Lingxia Guo & Yongyong Xu, 2013. "Health-Related Quality of Life as Measured with EQ-5D among Populations with and without Specific Chronic Conditions: A Population-Based Survey in Shaanxi Province, China," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-10, July.
    16. David Feeny, 2012. "The Multi-attribute Utility Approach to Assessing Health-related Quality of Life," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 36, Edward Elgar Publishing.
    17. Steven Prus & Zhiqiu Lin, 2005. "Ethnicity and Health: An Analysis of Physical Health Differences across Twenty-one Ethnocultural Groups in Canada," Social and Economic Dimensions of an Aging Population Research Papers 143, McMaster University.
    18. Louis A. Cox & Douglas A. Popken, 2004. "Quantifying Human Health Risks from Virginiamycin Used in Chickens," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 271-288, February.
    19. Wei, Lan & Feeny, David, 2019. "The dynamics of the gradient between child's health and family income: Evidence from Canada," Social Science & Medicine, Elsevier, vol. 226(C), pages 182-189.
    20. Stavros Petrou & Emil Kupek, 2009. "Estimating Preference-Based Health Utilities Index Mark 3 Utility Scores for Childhood Conditions in England and Scotland," Medical Decision Making, , vol. 29(3), pages 291-303, May.

    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:spr:pharme:v:41:y:2023:i:1:d:10.1007_s40273-022-01201-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.