Relevant bibliographies by topics / Inequity

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Inequity'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Inequity"

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Nielsen, François. "Inequality and inequity." Social Science Research 62 (February 2017): 29–35. http://dx.doi.org/10.1016/j.ssresearch.2016.12.009.

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Charlton, Bruce G. "The Inequity of Inequality." Journal of Health Psychology 2, no. 3 (July 1997): 413–25. http://dx.doi.org/10.1177/135910539700200309.

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Li, Weijun. "Impacts of Regional Disparities and Policy Bias on Chinese Educational Inequality and Inequity." BCP Business & Management 41 (March 17, 2023): 257–63. http://dx.doi.org/10.54691/bcpbm.v41i.4440.

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China's economy and society have achieved remarkable success over the past few decades. However, these outstanding achievements, on the contrary, have widened the inequality and inequity between regions. Nowadays, with the announcement of certain educational policies, educational inequality and inequity have been concentrated by the public recently. This study presents a relatively complete view of how economic and political reasons in China caused some educational inequality and inequity. Specifically, the article focusses on how the economy-allocation of educational resources and policy bias affect the issue of educational inequality and inequity. Four key pieces of research related to Chinese educational inequality and inequity are addressed in this article: (1) Local fiscal revenue, (2) Family income, (3) The National College Examination's preference policy, and (4) Double-Reduction Policy. After finishing the research above, it gives the readers a whole perspective on educational inequality and inequity, which can make the educational regulators clearer to deal with them.
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Heaslip, Vanessa, Ruth Thompson, Memory Tauringana, Sharon Holland, and Nikki Glendening. "Health inequity in the UK: exploring health inequality and inequity." Practice Nursing 33, no. 2 (February 2, 2022): 72–76. http://dx.doi.org/10.12968/pnur.2022.33.2.72.

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In this article, the first of two, Vanessa Heaslip et al examine the factors that lead to certain groups having poorer health outcomes in the UK Practice nurses are ideally placed within local communities to have a significant impact on addressing health inequities. However, to achieve this they need to understand the many factors that lead to certain groups having poorer health outcomes. Advances in longevity do not automatically match advances in health and wellbeing across all social groups. In the UK, someone living in a deprived area of England is more likely to die eight and a half years younger than someone living in a more affluent area. The COVID-19 pandemic has highlighted health inequities faced by ethnic minority groups in particular. This article, the first of two, will define the terminology used, explore access to health services in the UK and present the evidence driving healthcare policy.
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Daraz, Zahoor Hussain, Berkheez Shabir, and Rehana Afshan. "Protein Energy Malnutrition (PEM) in a Child Depicting Health Inequity (HI) in Kashmir." International Journal of Science and Healthcare Research 7, no. 1 (January 21, 2022): 46–48. http://dx.doi.org/10.52403/ijshr.20220109.

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WHO defines health inequities as avoidable inequalities between groups of people within countries and between the countries: Similarly, various global health agencies have provided an extract where Inequity and inequality is clearly defined. These two terms are confusing at times however they are not interchangeable. Health inequity is a situation where differences can be avoided but due to mass corruption, poor governance and in some instances cultural compulsion and exclusion leads to inequity. Health inequity is socially produced therefore it is unfair and avoidable. Example of health inequity between countries are, the infant mortality rate in Iceland is 2 per 1000 live births while it is 120 per 1000 live births in Mozambique. On the other hand health inequality is an unavoidable condition that results due to uneven distribution of health or resources or biological variations of genetic or other factors e.g. Elderly people, who are more likely to die than young adults and children. This case report of a child with PEM is aimed to highlight the issue of health inequity in a Paediatric age group in Kashmir, India. Keywords: PEM (Protein Energy Malnutrition), WHO (World Health Organization), PMJAY (Prime Minister Jan Arogya Yojana).
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Richardson, Henry S. "Ways of Discerning Inequality and Inequity." Journal of Human Development and Capabilities 10, no. 3 (November 2009): 309–13. http://dx.doi.org/10.1080/19452820903060352.

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Montero, Maria. "Inequity Aversion May Increase Inequity." Economic Journal 117, no. 519 (March 1, 2007): C192—C204. http://dx.doi.org/10.1111/j.1468-0297.2007.02041.x.

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Wu, Peishen, and Mei Liu. "A Framework for the Spatial Inequality in Urban Public Facility for Urban Planning, Design and Management." Land 11, no. 9 (August 30, 2022): 1429. http://dx.doi.org/10.3390/land11091429.

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Spatial inequality, spatial injustice, and spatial inequity are topics that have been of great interest for academics in various research fields. Among them, the uneven distribution and accessibility of urban public facilities (abbreviated as “UPF”) as one of the most predominant research subjects explores the factors that lead to disparities for people to access indispensable resources and services, which might cause significant marginalization for certain communities and further increase overall inequality. Extensive research has contributed to a status-quo understanding of spatial inequality/injustice/inequity in UPFs from demographic, political, and morphological points of view. However, there lacks a detailed set of guidelines, particularly in terms of location-specific urban planning, urban design, and UPF management strategies, which seek for more equitable opportunities for the public to receive and use amenities. To fill the gap, this research carried out an in-depth review of literature that studied spatial inequality/injustice/inequity research related to UPFs. The results showed that the findings of the current literature that studied spatial inequality/injustice/inequity research in UPFs can be mainly distinguished into three aspects: (a) morphology: the spatial structure and character of physical urban elements; (b) quantity: the uneven quantity of UPFs; (c) quality: the disparity in the quality of UPFs. Based on that, this research proposed empirical planning and design interventions from a spatial perspective. In conclusion, a framework that displays a hierarchical process of understanding and interpreting the spatial inequality/injustice/inequity in UPFs from an ambiguous concept to detailed interventions was developed, extending knowledge-based principles for urban practitioners to thoroughly understand and communicate an equal and inclusive urban environment.
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TOL, RICHARD S. J. "INTERNATIONAL INEQUITY AVERSION AND THE SOCIAL COST OF CARBON." Climate Change Economics 01, no. 01 (May 2010): 21–32. http://dx.doi.org/10.1142/s2010007810000029.

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I define the rate of inequity aversion, distinguishing between the pure rate and the consumption rate. I measure the rate of aversion to inequality in consumption as expressed in the development aid given by rich countries to poor ones between 1965 and 2005. There is an ambiguous relationship between the pure rate of inequity aversion and the consumption rate, driven by the rate of risk aversion. However, for a reasonable choice of the rate of risk aversion, rich countries are shown to be inequity averse, and increasingly so over time. The social cost of carbon is very sensitive to equity weighting and assumptions about the rate of risk and inequity aversion. Estimates of the consumption rate of inequity aversion for recent data suggest that the equity-weighted social cost of carbon is less than 50% larger than the unweighted estimate.
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Feine, J. S. "Oral Health Care Access, Inequity, and Inequality." JDR Clinical & Translational Research 7, no. 4 (September 19, 2022): 332–33. http://dx.doi.org/10.1177/23800844221121301.

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Dissertations / Theses on the topic "Inequity"

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Lyons, Erica Jade. "Educational inequity." Click here to view, 2009. http://digitalcommons.calpoly.edu/socssp/11/.

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Thesis (B.S.)--California Polytechnic State University, 2009.
Project advisor: Christopher Bickel. Title from PDF title page; viewed on Feb. 2, 2010. Includes bibliographical references. Also available on microfiche.
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Elwell-Sutton, Timothy Mark. "Inequality, inequity and the rise of non-communicable disease inChina." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B5016272X.

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Background: Rapid economic growth in mainland China has been accompanied in recent years by rising levels of inequality and a growing burden of non-communicable disease (NCD), though little is known at present about the relations between these forces. This thesis makes use of data from a large sample of older men and women in Guangzhou, one of China’s most developed cities, to examine the relations between inequality, inequity and non-communicable disease. Objectives: This thesis addresses two research questions: what is the relationship between inequality/inequity and non-communicable disease in China; and what are the implications of this relationship for health policy in China. These two questions lead to two working hypotheses: first, that inequalities may be both a cause and consequence of NCDs in China, potentially creating a vicious cycle which reinforces inequality and inequity; and second, that reducing dependence on out of pocket payments as a source of healthcare finance may help to prevent the continuation of the inequality-NCD cycle. Methods: I used data from the Guangzhou Biobank Cohort Study (GBCS), including 30,499 men and women aged 50 or over from Guangzhou and multi-variable regression methods to examine associations of socioeconomic position at four life stages (childhood, early adulthood, late adulthood and current) with several health outcomes: self-rated health, chronic obstructive pulmonary disease, metabolic syndrome and markers of immunological inflammation (white blood cells, granulocytes and lymphocytes). These analyses related to the hypothesis that inequalities may be a cause of non-communicable disease in China. I also examined whether inequity may be a consequence of non-communicable disease by measuring whether horizontal inequity (deviation from the principle of equal access to healthcare for equal need) was greater for treatment of NCDs than for general healthcare. I tested this using both concentration index methods and multi-variable regression models. For comparative purposes, I conducted these analyses in data from three settings: Guangzhou, Hong Kong and Scotland (UK). Results: I found that socioeconomic deprivation across the life course was associated with poorer self-rated health, higher risk of COPD, higher white cell and granulocyte cell counts and (in women only) higher risk metabolic syndrome and higher lymphocyte cell counts. I also found evidence of pro-rich inequity in utilisation of treatment for three major non-communicable conditions (hypertension, hyperglycaemia and dyslipidaemia) in Guangzhou, whilst there was no evidence of inequity in general healthcare utilisation (doctor consultations and hospital admissions) or treatment of gastric ulcer. Conclusion: My findings gave qualified support for the idea that socioeconomic inequalities may contribute to some, though not all, non-communicable diseases in China. Moreover, the mechanisms which link socioeconomic inequality to NCDs in China remain unclear. My results also supported the suggestion that a rising burden of non-communicable disease may contribute to greater pro-rich inequity in healthcare utilisation, especially for conditions which are chronic and asymptomatic. As rates of NCDs continue to rise in China and other developing countries, policies to prevent and treat common NCDs may be improved by a clearer understanding of how inequality is related to non-communicable disease.
published_or_final_version
Community Medicine
Doctoral
Doctor of Philosophy
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Siemens, Ferdinand von. "Inequity Aversion and Incentives." Diss., lmu, 2004. http://nbn-resolving.de/urn:nbn:de:bvb:19-27561.

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Yan, Qing. "Inequity of Chinese healthcare system." Thesis, University of Macau, 2015. http://umaclib3.umac.mo/record=b3258539.

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Li, Yihang. "Relational team contract and inequity aversion." Thesis, University of Bath, 2018. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.761023.

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The Thesis studies moral hazard problem in teams. We consider team production models where incentive can be provided through explicit sharing and relational contract. Incentive provision is discussed under various information structures. Under deterministic production, the output itself act as a strong signal of deterring shirking, thus noisy soft signal would not help to improve efficiency. While in cases where soft information is sufficient to infer agents' effort, we show that the optimal sharing would concentrate negative sharing on one agent who will be fully motivated by relational incentive. We further studied a model with sub-teams where sub-team performances are deterministic signals to sub-team members' effort. The value of the certainty in the soft information crucially depends on the structure of the sub-teams. Once we can ensure some heterogeneity between the organizational structure within the sub-teams, strongest relational incentive can be provided to cope with unilateral deviation. A necessary and sufficient condition for implementing a target effort level is then provided under general sharing. However, once we restrict the sharing rule to be linear, utilities among agents are no longer transferable. We show that linear sharing can implement the efficient effort, but with more restrictions on surplus distributions among agents. In general, linear sharing can be applied without loss of generality only if the surplus distribution is relatively balanced. Finally we had some preliminary discussion of non-monetary incentive provision based on inequality aversion model on linear public good games. Applying Fehr and Schmidt [1999]'s model with Bayesian game technique, we explore a boarder range of equilibriums with positive contributions. However, equilibrium behavior relies on how inequality is defined among players, future theoretical and experimental work needs to be done to enable inequality aversion as a tool of incentive provision.
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Karsu, Ozlem. "Inequity-averse decisions in operational research." Thesis, London School of Economics and Political Science (University of London), 2014. http://etheses.lse.ac.uk/905/.

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This thesis is on inequity-averse decisions in operational research, and draws on concepts from economics and operational research such as multi-criteria decision making (MCDM) and mathematical modelling. The main focus of the study is developing systematic methods and modelling to help decision makers (DMs) in situations where equity concerns are important. We draw on insights from the economics literature and base our methods on some of the widely accepted principles in this area. We discuss two equity related concerns, namely equitability and balance, which are distinguished based on whether anonymity holds or not. We review applications involving these concerns and discuss alternative ways to incorporate such concerns into operational research (OR) models. We point out some future research directions especially in using MCDM concepts in this context. Specifically, we observe that research is needed to design interactive decision support systems. Motivated by this observation, we study an MCDM approach to equitability. Our interactive approach uses holistic judgements of the DM to refine the ranking of an explicitly given (discrete) set of alternatives. The DM is assumed to have a rational preference relation with two additional equity-related axioms, namely anonymity and the Pigou-Dalton principle of transfers. We provide theoretical results that help us handle the computational difficulties due to the anonymity property. We illustrate our approach by designing an interactive ranking algorithm and provide computational results to show computational feasibility. We then consider balance concerns in resource allocation settings. Balance concerns arise when the DM wants to ensure justice over entities, the identities of which might affect the decision. We propose a bi-criteria modelling approach that has efficiency (quantified by the total output) and balance (quantified by the imbalance indicators) related criteria. We solve the models using optimization and heuristic algorithms. Our extensive computational experiments show the satisfactory behaviour of our algorithms.
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Fernandez, Danny. "Affective Responses to Inequity in Capuchin Monkeys." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/psych_hontheses/12.

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Many studies have documented adverse affects to inequitable situations in non-human primates. The behaviors that have predominantly been examined include food taking, collecting, giving, and refusals between the primate subjects and the experimenters. However, no studies had looked at the affective responses to inequity in primates. In a recent study, four-year old children who were rewarded inequitably accepted the reward, however they showed affective signs of dissatisfaction. For this study, we looked for affective displays in capuchins during inequitable exchange tasks. We predicted that the capuchins that were experiencing inequity would show more signs of agitation and aggression than those in equitable situations. We saw no increase in agitation or aggression when subjects were treated inequitably. There was higher aggression towards partners who received the lower reward in inequitable situations and less agitation seen by partners during frustration controls. Future studies may find our hypothesized results using different methodologies.
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McAuliffe, Katherine Jane. "The Evolution and Development of Inequity Aversion." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10757.

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Humans show such strong sensitivity to whether resources are distributed fairly that they sacrifice personal gain to avoid distributional inequity. This inequity aversion plays an important role in guiding human social decision-making and appears to be ubiquitous across human populations. However, we currently do not understand whether or how inequity aversion evolved over the course of human evolution or how it develops in children.
Human Evolutionary Biology
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Galbraith, Kevin. "Cervical cancer screening in Hong Kong : addressing inequity /." Thesis, Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/b39724104.

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Schumacher, Tyler R. "Inequity-Averse Preferences in the Principal-Agent Framework." Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami153299521737861.

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Books on the topic "Inequity"

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Carey, Timothy A., Sara J. Tai, and Robert Griffiths. Deconstructing Health Inequity. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68053-4.

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Guimón, José. Inequity and Madness. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0673-7.

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Indraratna, A. D. V. de S., Hirimuthugodage Dilani, Sri Lanka Economic Association, and Orange Projects (Firm), eds. Inequity, poverty, and development. Colombo: Sri Lanka Economic Association, 2007.

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Monroe, Burt L. Inequity, inequality, and disproportionality: Measuring deviations from a distributional, standard. Warwick: University of Warwick, Department of Politics, 1992.

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Monroe, Burt L. Inequity, inequality and disproportionality: Measuring deviations from a distributional standard. Coventry: Warwick University, Department of Politics and International Studies, 1992.

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Abdullah, Jahaan, and Chanelle Wilson. Impact of Bias and Inequity. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc., 2022. http://dx.doi.org/10.4135/9781071904756.

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Purohit, Brijesh C. Inequity in Indian Health Care. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5044-2.

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J, Losen Daniel, Orfield Gary, and Civil Rights Project (Harvard University), eds. Racial inequity in special education. Cambridge, MA: Civil Rights Project, Harvard University, 2002.

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Meyers, Debra. Inequity in education: A historical perspective. Lanham, MD: Lexington Books, 2009.

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Englmaier, Florian. Optimal incentive contracts under inequity aversion. Bonn, Germany: IZA, 2005.

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Book chapters on the topic "Inequity"

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Chan, Ka Ki, and Francisca Yuen-ki Lai. "Gender Inequity." In Encyclopedia of Gerontology and Population Aging, 1–6. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69892-2_159-1.

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Wertz, Dorothy C., and John C. Fletcher. "Global Inequity." In Genetics and Ethics in Global Perspective, 14–18. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-007-0981-2_2.

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Woods, Douglas W., Matthew R. Capriotti, Madison Pilato, Carolyn A. Doyle, Christopher J. McDougle, Beth Springate, Deborah Fein, et al. "Health Inequity." In Encyclopedia of Autism Spectrum Disorders, 1500. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100661.

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Krattli, Shannon, Daniella Prezioso, and Mollie Dollinger. "Addressing Inequity." In Assessment for Inclusion in Higher Education, 222–30. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003293101-24.

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Vale, Gillian L., and Sarah F. Brosnan. "Inequity Aversion." In Encyclopedia of Animal Cognition and Behavior, 1–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_1084-1.

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Vale, Gillian L., and Sarah F. Brosnan. "Inequity Aversion." In Encyclopedia of Animal Cognition and Behavior, 3421–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1084.

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Chan, Ka Ki, and Francisca Yuen-ki Lai. "Gender Inequity." In Encyclopedia of Gerontology and Population Aging, 1983–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22009-9_159.

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Banda, Tinenenji, and Marja Hinfelaar. "Information inequity." In Inequality in Zambia, 250–63. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003241027-15.

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Baruah, Bipasha. "Renewable Inequity?" In Climate Change and Gender in Rich Countries, 70–86. Abingdon, Oxon ; New York, NY : Routledge, 2017. |: Routledge, 2017. http://dx.doi.org/10.4324/9781315407906-5.

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Skorin-Kapov, Jadranka. "Workplace Harassment, Violence, Inequity, and Inequality." In Professional and Business Ethics Through Film, 139–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89333-4_5.

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Conference papers on the topic "Inequity"

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McCullough, Steven, Jessica Eisma, June Young Park, Mikila Salazar, and Sarah F. Rose. "Inequity by inequity." In BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3563357.3564081.

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Kleinberg, Jon, and Sendhil Mullainathan. "Simplicity Creates Inequity." In EC '19: ACM Conference on Economics and Computation. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3328526.3329621.

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Payne, Lily, and Paul Hutchison. "Intervening in status hierarchies to disrupt inequity." In 2018 Physics Education Research Conference. American Association of Physics Teachers, 2019. http://dx.doi.org/10.1119/perc.2018.pr.payne.

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Ge, Honglei, and Nan Liu. "Inequity measures in relief resource allocation model." In 2011 2nd IEEE International Conference on Emergency Management and Management Sciences (ICEMMS). IEEE, 2011. http://dx.doi.org/10.1109/icemms.2011.6015773.

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Jia, Adele L., Lucia D'Acunto, Michel Meulpolder, Johan A. Pouwelse, and Dick H. J. Epema. "BitTorrent's dilemma: Enhancing reciprocity or reducing inequity." In 2011 IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2011. http://dx.doi.org/10.1109/ccnc.2011.5766581.

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Hollar, Jesslyn. "Brokering Inequity: Knowledge Distribution as Policy Limitation." In 2020 AERA Annual Meeting. Washington DC: AERA, 2020. http://dx.doi.org/10.3102/1578843.

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Wei, Guan. "Team cooperation incorporating inequity aversion and social norms." In 2009 International Conference on Management Science and Engineering (ICMSE). IEEE, 2009. http://dx.doi.org/10.1109/icmse.2009.5318060.

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Alon, Noga, Yishay Mansour, and Moshe Tenneholtz. "Differential pricing with inequity aversion in social networks." In EC '13: ACM Conference on Electronic Commerce. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2482540.2482545.

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Srivastava, Kanchan, Surya Kant, Apoorva Narain, and Jyoti Bajpai. "Tuberculosis in women: A reflection of gender inequity." In ERS International Congress 2018 abstracts. European Respiratory Society, 2018. http://dx.doi.org/10.1183/13993003.congress-2018.pa531.

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Alon, Noga, Yishay Mansour, and Moshe Tenneholtz. "Differential pricing with inequity aversion in social networks." In the fourteenth ACM conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2492002.2482545.

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Reports on the topic "Inequity"

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Bucher, Stefan, and Andrew Caplin. Inattention and Inequity in School Matching. Cambridge, MA: National Bureau of Economic Research, December 2021. http://dx.doi.org/10.3386/w29586.

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Schneider, Kate R., Alexandra Bellows, Shauna Downs, Winnie Bell, Ramya Ambikapathi, Stella Nordhagen, Francesco Branca, William A. Masters, and Jessica Fanzo. Inequity in access to healthy foods. Global Alliance for Improved Nutrition (GAIN) and Food Systems Economics Commission (FSEC), March 2023. http://dx.doi.org/10.36072/dp.12.

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Gokhale, Jagadeesh, Laurence Kotlikoff, James Sefton, and Martin Weale. Simulating the Transmission of Wealth Inequity via Bequests. Cambridge, MA: National Bureau of Economic Research, June 1999. http://dx.doi.org/10.3386/w7183.

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Kleinberg, Jon, and Sendhil Mullainathan. Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability. Cambridge, MA: National Bureau of Economic Research, May 2019. http://dx.doi.org/10.3386/w25854.

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Rosenbaum, Sara. Eliminating Inequity in Health Care Demands Measurement in Real Time. Milbank Memorial Fund, August 2021. http://dx.doi.org/10.1599/mqop.2021.0806.

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Ward, James Dean, and Heidi Booth. Homeless and Foster Youth, Racial Inequity, and Policy Shifts for Systemic Change. Ithaka S+R, March 2021. http://dx.doi.org/10.18665/sr.314917.

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Ferryman, Kadija. Framing Inequity in Health Technology: The Digital Divide, Data Bias, and Racialization. Just Tech, Social Science Research Council, February 2022. http://dx.doi.org/10.35650/jt.3018.d.2022.

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" Since 2010, there has been an exponential growth in health data and health information technologies, such as electronic health records (EHRs), and AI-enabled medical tools. Despite the growth and investment in these technologies, they have had few positive effects on health outcomes, especially for marginalized populations. This review begins by addressing common rhetorical and ethical responses to inequities in health technologies, such as the digital divide and data bias frames. It then problematizes both approaches before proposing that examining racialization, or the creation and circulation of racial hierarchies, can contribute to a more comprehensive framework for facilitating health equity in health information technology."
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8

Diamant, Neil J., and Shawn Bender. Where Are All the College Faculty? Editorial Inequity in East Asian Studies Journals. Critical Asian Studies, May 2022. http://dx.doi.org/10.52698/ypuz9807.

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9

Anderson, Kristy A., Anne M. Roux, Hillary Steinberg, Tamara Garfield, Jessica E. Rast, Paul T. Shattuck, and Lindsay L. Shea. The Intersection of National Autism Indicators Report: Autism, Health, Poverty and Racial Inequity. A.J. Drexel Autism Institute, April 2022. http://dx.doi.org/10.17918/nairintersection2022.

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This report examines the following two questions: 1) do income-based differences in health and health care outcomes look the same for children with and without autism? and 2) do income-based differences in health and health care outcomes look the same for BIPOC (Black, Indigenous, and People of Color) children with autism and white children with autism? Examining the health and healthcare outcomes of children with autism in combination with other social characteristics offers several advantages. First, we can illuminate how demographics alone, and in combination with other social characteristics of children, are associated with differences in the rates of health and healthcare outcomes they experience. Second, it increases our understanding of the health-related experiences of social groups who are often neglected in research. Third, it provides current and comprehensive evidence on how children with autism experience relative disadvantages related to social determinants of health, which are aspects of the environment that affect health, functioning, and quality-of-life outcomes and risks.
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Tiruneh, Dawit, Ricardo Sabates, and Tassew Woldehanna. Disadvantaged Schools and Students in Ethiopia: Why is the GEQIP-E Reform Necessary? Research on Improving Systems of Education (RISE), April 2021. http://dx.doi.org/10.35489/bsg-rise-ri_2021/026.

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This Insight provides an overview of the prevalence of inequity in access to quality primary education for children and particularly girls living in the emerging regions, and children with disabilities in Ethiopia.
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