IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0104872.html
   My bibliography  Save this article

Three-Year Change in the Wellbeing of Orphaned and Separated Children in Institutional and Family-Based Care Settings in Five Low- and Middle-Income Countries

Author

Listed:
  • Kathryn Whetten
  • Jan Ostermann
  • Brian W Pence
  • Rachel A Whetten
  • Lynne C Messer
  • Sumedha Ariely
  • Karen O'Donnell
  • Augustine I Wasonga
  • Vanroth Vann
  • Dafrosa Itemba
  • Misganaw Eticha
  • Ira Madan
  • Nathan M Thielman
  • The Positive Outcomes for Orphans (POFO) Research Team

Abstract

Background: With more than 2 million children living in group homes, or “institutions”, worldwide, the extent to which institution-based caregiving negatively affects development and wellbeing is a central question for international policymakers. Methods: A two-stage random sampling methodology identified community representative samples of 1,357 institution-dwelling orphaned and separated children (OSC) and 1,480 family-dwelling OSC aged 6–12 from 5 low and middle income countries. Data were collected from children and their primary caregivers. Survey-analytic techniques and linear mixed effects models describe child wellbeing collected at baseline and at 36 months, including physical and emotional health, growth, cognitive development and memory, and the variation in outcomes between children, care settings, and study sites. Findings: At 36-month follow-up, institution-dwelling OSC had statistically significantly higher height-for-age Z-scores and better caregiver-reported physical health; family-dwelling OSC had fewer caregiver-reported emotional difficulties. There were no statistically significant differences between the two groups on other measures. At both baseline and follow-up, the magnitude of the differences between the institution- and family-dwelling groups was small. Relatively little variation in outcomes was attributable to differences between sites (11–27% of total variation) or care settings within sites (8–14%), with most variation attributable to differences between children within settings (60–75%). The percent of variation in outcomes attributable to the care setting type, institution- versus family-based care, ranged from 0–4% at baseline, 0–3% at 36-month follow-up, and 0–4% for changes between baseline and 36 months. Interpretation: These findings contradict the hypothesis that group home placement universally adversely affects child wellbeing. Without substantial improvements in and support for family settings, the removal of institutions, broadly defined, would not significantly improve child wellbeing and could worsen outcomes of children who are moved from a setting where they are doing relatively well to a more deprived setting.

Suggested Citation

  • Kathryn Whetten & Jan Ostermann & Brian W Pence & Rachel A Whetten & Lynne C Messer & Sumedha Ariely & Karen O'Donnell & Augustine I Wasonga & Vanroth Vann & Dafrosa Itemba & Misganaw Eticha & Ira Mad, 2014. "Three-Year Change in the Wellbeing of Orphaned and Separated Children in Institutional and Family-Based Care Settings in Five Low- and Middle-Income Countries," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-10, August.
  • Handle: RePEc:plo:pone00:0104872
    DOI: 10.1371/journal.pone.0104872
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0104872
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0104872&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0104872?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
    ---><---

    References listed on IDEAS

    as
    1. Wanat, Stanley & Whisnant, Jill & Reicherter, Daryn & Solvason, Brent & Juul, Sarah & Penrose, Brian & Koopman, Cheryl, 2010. "Coping with the challenges of living in an Indonesian residential institution," Health Policy, Elsevier, vol. 96(1), pages 45-50, June.
    2. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
    3. Aboud, Frances & Samuel, Mesfin & Hadera, Alem & Addus, Abdulaziz, 1991. "Intellectual, social and nutritional status of children in an Ethiopian orphanage," Social Science & Medicine, Elsevier, vol. 33(11), pages 1275-1280, January.
    4. Cluver, Lucie & Orkin, Mark, 2009. "Cumulative risk and AIDS-orphanhood: Interactions of stigma, bullying and poverty on child mental health in South Africa," Social Science & Medicine, Elsevier, vol. 69(8), pages 1186-1193, October.
    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. Mishra, Rachna & Sondhi, Vanita, 2021. "Theorizing pathways to resilience among orphaned adolescents in institutional care in India," Children and Youth Services Review, Elsevier, vol. 124(C).
    2. Cho, Esther Yin-Nei & Yu, Fuk-Yuen, 2020. "A review of measurement tools for child wellbeing," Children and Youth Services Review, Elsevier, vol. 119(C).
    3. Tatsiopoulou, Paraskevi & Chatzidimitriou, Christina & Georgaca, Eugenie & Abatzoglou, Grigori, 2020. "A qualitative study of experiences during placement and long-term impact of institutional care: Data from an adult Greek sample," Children and Youth Services Review, Elsevier, vol. 116(C).

    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. Salifu Yendork, J. & Somhlaba, Nceba Z., 2014. "Stress, coping and quality of life: An exploratory study of the psychological well-being of Ghanaian orphans placed in orphanages," Children and Youth Services Review, Elsevier, vol. 46(C), pages 28-37.
    2. repec:ebl:ecbull:v:3:y:2008:i:42:p:1-13 is not listed on IDEAS
    3. Luiz Paulo Fávero & Joseph F. Hair & Rafael de Freitas Souza & Matheus Albergaria & Talles V. Brugni, 2021. "Zero-Inflated Generalized Linear Mixed Models: A Better Way to Understand Data Relationships," Mathematics, MDPI, vol. 9(10), pages 1-28, May.
    4. Simon Gaechter & Chris Starmer & Fabio Tufano, 2022. "Measuring “group cohesion” to reveal the power of social relationships in team production," Discussion Papers 2022-12, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    5. Andrew Gelman & Daniel Lee & Jiqiang Guo, 2015. "Stan," Journal of Educational and Behavioral Statistics, , vol. 40(5), pages 530-543, October.
    6. Yeojin Chung & Sophia Rabe-Hesketh & Vincent Dorie & Andrew Gelman & Jingchen Liu, 2013. "A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 685-709, October.
    7. Saul Estrin & Julia Korosteleva & Tomasz Mickiewicz, 2022. "Schumpeterian Entry: Innovation, Exporting, and Growth Aspirations of Entrepreneurs," Entrepreneurship Theory and Practice, , vol. 46(2), pages 269-296, March.
    8. Godager, Geir & Iversen, Tor & Ma, Ching-to Albert, 2015. "Competition, gatekeeping, and health care access," Journal of Health Economics, Elsevier, vol. 39(C), pages 159-170.
    9. Namin, Aidin & Soysal, Gonca P. & Ratchford, Brian T., 2022. "Alleviating demand uncertainty for seasonal goods: An analysis of attribute-based markdown policy for fashion retailers," Journal of Business Research, Elsevier, vol. 145(C), pages 671-681.
    10. Lawrence Choo & Todd R. Kaplan & Ro’i Zultan, 2019. "Information aggregation in Arrow–Debreu markets: an experiment," Experimental Economics, Springer;Economic Science Association, vol. 22(3), pages 625-652, September.
    11. Karen Ruckman & Nilesh Saraf & Vallabh Sambamurthy, 2015. "Market Positioning by IT Service Vendors Through Imitation," Information Systems Research, INFORMS, vol. 26(1), pages 100-126, March.
    12. Vassilis Vasdekis & Silvia Cagnone & Irini Moustaki, 2012. "A Composite Likelihood Inference in Latent Variable Models for Ordinal Longitudinal Responses," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 425-441, July.
    13. Marino, Maria Francesca & Alfó, Marco, 2016. "Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 193-209.
    14. Rabe-Hesketh, Sophia & Skrondal, Anders, 2013. "Avoiding biased versions of Wooldridge’s simple solution to the initial conditions problem," Economics Letters, Elsevier, vol. 120(2), pages 346-349.
    15. Raymond, Wladimir & Mairesse, Jacques & Mohnen, Pierre & Palm, Franz, 2015. "Dynamic models of R & D, innovation and productivity: Panel data evidence for Dutch and French manufacturing," European Economic Review, Elsevier, vol. 78(C), pages 285-306.
    16. Vitoratou, Silia & Ntzoufras, Ioannis & Moustaki, Irini, 2016. "Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions," LSE Research Online Documents on Economics 57685, London School of Economics and Political Science, LSE Library.
    17. Stefan Hochguertel & Henry Ohlsson, 2009. "Compensatory inter vivos gifts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 993-1023.
    18. Eunice Magalhães & Maria Manuela Calheiros & Carla Antunes, 2018. "‘I Always Say What I Think’: a Rights-Based Approach of Young People’s Psychosocial Functioning in Residential Care," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(6), pages 1801-1816, December.
    19. Alex Bryson & Erling Barth & Harald Dale-Olsen, 2013. "The Effects of Organizational Change on Worker Well-Being and the Moderating Role of Trade Unions," ILR Review, Cornell University, ILR School, vol. 66(4), pages 989-1011, July.
    20. Chadha, Alka, 2009. "TRIPs and patenting activity: Evidence from the Indian pharmaceutical industry," Economic Modelling, Elsevier, vol. 26(2), pages 499-505, March.
    21. Sun-Joo Cho & Paul Boeck & Susan Embretson & Sophia Rabe-Hesketh, 2014. "Additive Multilevel Item Structure Models with Random Residuals: Item Modeling for Explanation and Item Generation," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 84-104, January.

    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:plo:pone00:0104872. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.