IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v264y2020ics0277953620305499.html
   My bibliography  Save this article

An atlas of health inequalities and health disparities research: “How is this all getting done in silos, and why?”

Author

Listed:
  • Collyer, Taya A.
  • Smith, Katherine E.

Abstract

Research on health inequalities and health disparities has grown exponentially since the 1960s, but this expansion has not been matched by an associated sense of progress. Criticisms include claims that too much research addresses well-trodden questions and that the field has failed to gain public and policy traction. Qualitative studies have found researchers partly attribute these challenges to fragmentation resulting from disciplinary and methodological differences. Yet, empirical investigation (‘research on research’) is limited. This study addresses this gap, employing mixed-methods to examine, at scale, how and why this field is defined by insular research clusters. First, bibliometric analysis identifies and visualizes the 250 most-connected authors. Next, an algorithm was used to identify clustering via citation links between authors. We used researcher profiling to ascertain authors' geographical and institutional locations and disciplinary training, examining how this mapped onto clusters. Finally, causes of siloing were investigated via semi-structured interviews with 45 researchers. The resulting ‘atlas’ of health inequalities and health disparities research identifies eight clusters of authors with varying degrees of connectedness. No single factor neatly describes observed fragmentation, health equity scholars exhibit a diverse disciplinary backgrounds, and geographical, institutional, and historical factors appear to intersect to explain siloed citation patterns. While the configuration of research activity within clusters potentially helps render questions scientifically manageable, it affirms perceptions of the field as fragmented. We draw on Thomas Kuhn and Sheila Jasanoff to position results within theoretical pictures of scientific progress. Newcomers to the field can use our findings to orient themselves within the many streams of health equity scholarship, and existing health equity scholars can use the atlas to move beyond existing geo-disciplinary networks. However, although stronger cross-cluster engagement would be likely to improve insights, the complex nexus of factors underlying the field's structure will likely make this challenging in practice.

Suggested Citation

  • Collyer, Taya A. & Smith, Katherine E., 2020. "An atlas of health inequalities and health disparities research: “How is this all getting done in silos, and why?”," Social Science & Medicine, Elsevier, vol. 264(C).
  • Handle: RePEc:eee:socmed:v:264:y:2020:i:c:s0277953620305499
    DOI: 10.1016/j.socscimed.2020.113330
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953620305499
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2020.113330?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. Ludo Waltman & Nees Eck, 2013. "A smart local moving algorithm for large-scale modularity-based community detection," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(11), pages 1-14, November.
    2. Wagstaff, Adam & Culyer, Anthony J., 2012. "Four decades of health economics through a bibliometric lens," Journal of Health Economics, Elsevier, vol. 31(2), pages 406-439.
    3. Mackenbach, J.P. & van de Mheen, H. & Stronks, K., 1994. "A prospective cohort study investigating the explanation of socio-economic inequalities in health in the Netherlands," Social Science & Medicine, Elsevier, vol. 38(2), pages 299-308, January.
    4. repec:nas:journl:v:115:y:2018:p:6440-6445 is not listed on IDEAS
    5. Nees Jan Eck & Ludo Waltman, 2017. "Citation-based clustering of publications using CitNetExplorer and VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1053-1070, May.
    6. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    7. Bruce H. Wade & Jack H. Stone, 2010. "Overcoming Disciplinary and Institutional Barriers: An Interdisciplinary Course in Economic and Sociological Perspectives on Health Issues," The Journal of Economic Education, Taylor & Francis Journals, vol. 41(1), pages 71-84, January.
    8. Ismael Rafols & Martin Meyer, 2007. "How cross-disciplinary is bionanotechnology? Explorations in the specialty of molecular motors," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 633-650, March.
    9. McCartney, Gerry & Collins, Chik & Mackenzie, Mhairi, 2013. "What (or who) causes health inequalities: Theories, evidence and implications?," Health Policy, Elsevier, vol. 113(3), pages 221-227.
    10. Lucinda Cash-Gibson & Diego F Rojas-Gualdrón & Juan M Pericàs & Joan Benach, 2018. "Inequalities in global health inequalities research: A 50-year bibliometric analysis (1966-2015)," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-22, January.
    11. Manor, Orly & Matthews, Sharon & Power, Chris, 1997. "Comparing measures of health inequality," Social Science & Medicine, Elsevier, vol. 45(5), pages 761-771, September.
    12. Alan L. Porter & Ismael Rafols, 2009. "Is science becoming more interdisciplinary? Measuring and mapping six research fields over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 719-745, December.
    13. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
    14. Kawachi, Ichiro & Kennedy, Bruce P., 1997. "The relationship of income inequality to mortality: Does the choice of indicator matter?," Social Science & Medicine, Elsevier, vol. 45(7), pages 1121-1127, October.
    15. Bouchard, Louise & Albertini, Marcelo & Batista, Ricardo & de Montigny, Joanne, 2015. "Research on health inequalities: A bibliometric analysis (1966–2014)," Social Science & Medicine, Elsevier, vol. 141(C), pages 100-108.
    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. Cláudia Jardim Santos & Inês Paciência & Ana Isabel Ribeiro, 2022. "Neighbourhood Socioeconomic Processes and Dynamics and Healthy Ageing: A Scoping Review," IJERPH, MDPI, vol. 19(11), pages 1-26, May.
    2. Louvel, Séverine & Soulier, Alexandra, 2022. "Biological embedding vs. embodiment of social experiences: How these two concepts form distinct thought styles around the social production of health inequalities," Social Science & Medicine, Elsevier, vol. 314(C).
    3. Dijkstra, Ilse & Horstman, Klasien, 2021. "‘Known to be unhealthy’: Exploring how social epidemiological research constructs the category of low socioeconomic status," Social Science & Medicine, Elsevier, vol. 285(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. R. Fileto Maciel & P. Saskia Bayerl & Marta Macedo Kerr Pinheiro, 2019. "Technical research innovations of the US national security system," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 539-565, August.
    2. Shome, Samik & Hassan, M. Kabir & Verma, Sushma & Panigrahi, Tushar Ranjan, 2023. "Impact investment for sustainable development: A bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 770-800.
    3. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    4. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    5. van Rijnsoever, Frank J. & Hessels, Laurens K., 2011. "Factors associated with disciplinary and interdisciplinary research collaboration," Research Policy, Elsevier, vol. 40(3), pages 463-472, April.
    6. Simon Zaby, 2019. "Science Mapping of the Global Knowledge Base on Microfinance: Influential Authors and Documents, 1989–2019," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    7. P. K. Priyan & Wakara Ibrahimu Nyabakora & Geofrey Rwezimula, 2023. "A bibliometric review of the knowledge base on financial inclusion," SN Business & Economics, Springer, vol. 3(2), pages 1-21, February.
    8. Wakara Ibrahimu Nyabakora, 2023. "Earnings management in public companies: a bibliometric review," SN Business & Economics, Springer, vol. 3(9), pages 1-23, September.
    9. Collins C. Okolie & Gideon Danso-Abbeam & Okechukwu Groupson-Paul & Abiodun A. Ogundeji, 2022. "Climate-Smart Agriculture Amidst Climate Change to Enhance Agricultural Production: A Bibliometric Analysis," Land, MDPI, vol. 12(1), pages 1-23, December.
    10. Quddus Tushar & Guomin Zhang & Satheeskumar Navaratnam & Muhammed A. Bhuiyan & Lei Hou & Filippo Giustozzi, 2023. "A Review of Evaluative Measures of Carbon-Neutral Buildings: The Bibliometric and Science Mapping Analysis towards Sustainability," Sustainability, MDPI, vol. 15(20), pages 1-31, October.
    11. Lili Wang & Ad Notten & Alexandru Surpatean, 2013. "Interdisciplinarity of nano research fields: a keyword mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 877-892, March.
    12. Wang, Lili & Notten, Ad, 2011. "Mapping the interdisciplinary nature and co-evolutionary patterns in five nano-industrial sectors," MERIT Working Papers 2011-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. P. K. Priyan & Wakara Ibrahimu Nyabakora & Geofrey Rwezimula, 2023. "A Bibliometric Review of the Knowledge Base on Capital Structure Decisions," Vision, , vol. 27(2), pages 155-166, April.
    14. Berna Beyhan & M. Teoman Pamukçu, 2011. "Nanotechnology research in Turkey: A university-driven achievement," STPS Working Papers 1107, STPS - Science and Technology Policy Studies Center, Middle East Technical University, revised Jul 2011.
    15. Theresa Velden & Kevin W. Boyack & Jochen Gläser & Rob Koopman & Andrea Scharnhorst & Shenghui Wang, 2017. "Comparison of topic extraction approaches and their results," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 1169-1221, May.
    16. Prattana Punnakitikashem & Philip Hallinger, 2019. "Bibliometric Review of the Knowledge Base on Healthcare Management for Sustainability, 1994–2018," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    17. Kevin W. Boyack, 2017. "Investigating the effect of global data on topic detection," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 999-1015, May.
    18. Saloua Sehili & Elamin H. Elbasha & David G. Moriarty & Matthew M. Zack, 2005. "Inequalities in self‐reported physical health in the United States, 1993‐1999," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 377-389, April.
    19. Chunzhu Wei & Pablo Cabrera-Barona & Thomas Blaschke, 2016. "Local Geographic Variation of Public Services Inequality: Does the Neighborhood Scale Matter?," IJERPH, MDPI, vol. 13(10), pages 1-20, October.
    20. Xu, Ke Tom, 2006. "State-level variations in income-related inequality in health and health achievement in the US," Social Science & Medicine, Elsevier, vol. 63(2), pages 457-464, July.

    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:264:y:2020:i:c:s0277953620305499. 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.