Relevant bibliographies by topics / Medical bias

Contents

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

Academic literature on the topic 'Medical bias'

Author: Grafiati
Published: 11 December 2022
Last updated: 31 July 2025

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Journal articles on the topic "Medical bias"

1

Alderton, Gemma. "Bias in medical devices." Science 372, no. 6537 (2021): 43.10–45. http://dx.doi.org/10.1126/science.372.6537.43-j.

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KILIC, Selim. "Bias in medical research." Journal of Mood Disorders 4, no. 2 (2014): 92. http://dx.doi.org/10.5455/jmood.20140606042223.

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Barabino, Gilda, and Harriet Nembhard. "Suffocating from Medical Bias." American Scientist 110, no. 4 (2022): 204. http://dx.doi.org/10.1511/2022.110.4.204.

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Criado-Perez, Caroline. "End medical gender bias." New Scientist 242, no. 3234 (2019): 23. http://dx.doi.org/10.1016/s0262-4079(19)31077-2.

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Pinzur, Michael S. "Bias in Medical Education." Foot & Ankle International 41, no. 1 (2019): 121. http://dx.doi.org/10.1177/1071100719851795.

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AlHasan, AJMS. "Bias in medical artificial intelligence." Bulletin of the Royal College of Surgeons of England 103, no. 6 (2021): 302–5. http://dx.doi.org/10.1308/rcsbull.2021.111.

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Pittler, Max H. "Bias in (complementary) medical research." Focus on Alternative and Complementary Therapies 15, no. 3 (2010): 210–13. http://dx.doi.org/10.1111/j.2042-7166.2010.01041.x.

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Friedman, C. P., and J. C. Wyatt. "Publication Bias in Medical Informatics." Journal of the American Medical Informatics Association 8, no. 2 (2001): 189–91. http://dx.doi.org/10.1136/jamia.2001.0080189.

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Elston, Dirk M. "Cognitive bias and medical errors." Journal of the American Academy of Dermatology 81, no. 6 (2019): 1249. http://dx.doi.org/10.1016/j.jaad.2019.06.1284.

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Eichler, Margrit, Anna Lisa Reisman, and Elaine Manace Borins. "Gender Bias in Medical Research." Women & Therapy 12, no. 4 (1992): 61–70. http://dx.doi.org/10.1300/j015v12n04_06.

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Dissertations / Theses on the topic "Medical bias"

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Basso, Marco Antonio Gimenes. "The problem of bias in medical research and its relationship with medical education." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/10019260/.

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Biases in medical research are becoming acknowledged as a serious and increasing problem for medicine all over the world. They compromise the evaluation of the real effects of drugs, and jeopardise the possibility of evidence-based decisions and knowledge in medical practice. The current measures adopted to attempt to reduce them, although important and necessary, seem to have had only a limited effect. The fundamental aim of this study is to be a piece of exploratory research on the possible factors involved in medical education that can be related to the existence of bias in medical research
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Ramineni, Chaitanya. "Rater contrast effects in performance assessments using the medical licensure examination." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 167 p, 2009. http://proquest.umi.com/pqdweb?did=1654488081&sid=3&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Alonzo, Todd Allen. "Assessing accuracy of a continuous medical diagnostic or screening test in the presence of verification bias /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/9600.

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Burchett, Tabitha S., and L. Lee Glenn. "Measurement Validity of Tests for Implicit Negative Bias." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/7483.

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Excerpt: The study by Terbeck et al. (2012) that was published in Psychopharmacology, Online First concluded that propranolol reduces implicit negative racial bias. However, this conclusion is not supported by the study because the implicit association test (IAT) (Greenwald et al. 2009) has not been sufficiently validated and because the claim for clinical treatment due to amygdala suppression is unsupported.
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Hyde, Jacquelyn Elaine. "Reconsidering Health Literacy: The Role of Implicit Bias." Master's thesis, Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/433020.

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Urban Bioethics<br>M.A.<br>Low health literacy in the United States has numerous negative impacts on health outcomes. Efforts to equip physicians with the ability to better identify patients with low health literacy have consistently shown lackluster and transient results. The transient nature of these results closely mirror those seen in the implicit bias literature, implying that health literacy may be better addressed if considered a type of coded bias among clinicians. In this paper, a review of the literature is presented which includes the impact of health literacy on patient outcomes, p
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Schultz, Abby, Morgan Buda, Anahita Rahimi-Saber, et al. "Knowledge, Attitudes and Practices of East Tennessee Medical Providers towards Transgender Patients." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/asrf/2018/schedule/112.

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Introduction: Transgender is an identity term used to describe people with diverse gender identities and expressions that differ from their sex assigned at birth. People who identify as transgender have worse health outcomes than the cisgender or non-transgender populations. Limited healthcare access and chronic stress from discrimination all contribute to worsening health outcomes for this population. However, research regarding this population is limited, particularly in the rural southern United States. The purpose of this study was to assess physicians’, nurse practitioners’, and physician
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Hendrick, Rachel A. "Managing or maintaining bias? : examining the conceptualisation of conflicts of interest in medical journal publishing." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/23625.

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BACKGROUND: It has been claimed that the involvement of commercial companies in medical and health research poses risks relating to potential conflicts of interest. In response, many journals have developed conflict of interest policies, and there has been a proliferation of related guidance from publishers, professional associations and commercial companies, mostly centred on processes of voluntary disclosure. Studies and commentaries on these have raised concerns regarding the adequacy of such practices, but there has been limited analysis of the underlying context – how and why policies hav
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Kan, Hongjun. "Does the Medicare principal inpatient diagnostic cost group model adequately adjust for selection bias?" Santa Monica, CA : RAND Graduate School, 2002. http://catalog.hathitrust.org/api/volumes/oclc/50711061.html.

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Hua, Fang. "Issues in the dissemination of dental/medical research : reporting quality, publication bias and open access." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/issues-in-the-dissemination-of-dental--medical-research-reporting-quality-publication-bias-and-open-access(392d8fa7-2f6a-4748-b21c-87944f86a0dd).html.

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Timely, effective and unrestricted dissemination of dental/medical research is critical for the translation of research findings into healthcare. During the past 30 years, problems in the reporting, publication and accessibility of medical research, as well as the resulting avoidable waste of resources, have gained increasing attention from researchers and other stakeholders. However, many gaps still remain in the literature. The aims of this thesis were to provide more insights into three aspects of the dental/medical research dissemination (reporting quality, publication bias and open access
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Placido, Rui. "Estimating measurement uncertainty in the medical laboratory." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/11258.

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Medical Laboratories Accreditation is covered by ISO 15189:2012 - Medical Laboratories — Requirements for Quality and Competence. In Portugal, accreditation processes are held under the auspices of the Portuguese Accreditation Institute (IPAC), which applies the Portuguese edition (NP EN ISO 15189:2014). Accordingly, Medical Laboratories accreditation processes now require the estimate of measurement uncertainty (MU) associated to the results. The Guide to the Expression of Uncertainty in Measurement (GUM) describes the calculation of MU, not contemplating the specific aspects of medical labor
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Books on the topic "Medical bias"

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Kan, Hongjun. Does the Medicare Principal Inpatient Diagnostic Cost Group model adequately adjust for selection bias? RAND Graduate School, 2002.

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National Center for Health Statistics (U.S.). Nonresponse bias in estimates from the 2012 National Ambulatory Medical Care Survey. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2016.

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service), SpringerLink (Online, ed. It's Great! Oops, No It Isn't: Why Clinical Research Can't Guarantee the Right Medical Answers. Springer Netherlands, 2009.

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J, Sutton A., ed. Methods for meta-analysis in medical research. J. Wiley, 2000.

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T, McGleenan, Ewald François, and Wiesing U, eds. Genetics and insurance. BIOS, 1999.

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Office, General Accounting. Consumer Price Index: Update of Boskin Commission's estimate of bias : report to the Ranking Minority Member, Committee on Finance, U.S. Senate. The Office, 2000.

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1950-, Zhang Yongxun, and Xing zheng yuan wei sheng shu Zhong yi yao wei yuan hui (China), eds. Taiwan yuan zhu min yao yong zhi wu hui bian. 3rd ed. Xing zheng yuan wei sheng shu zhong yi yao wei yuan hui, 2002.

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United States. Government Accountability Office, ed. Medicare Advantage: Comparison of plan bids to fee-for-service spending by plan and market characteristics. U.S. Govt. Accountability Office, 2011.

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Zhang, Bingcheng. Ben cao bian du. Xue yuan chu ban she, 2010.

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Zhou, Yan. Ben cao si bian lu jiao shi. Xue yuan chu ban she, 2008.

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Book chapters on the topic "Medical bias"

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Marchevsky, David. "Bias." In Critical Appraisal of Medical Literature. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4205-6_7.

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Cohen, Adam L. "Publication Bias." In Problems and Pitfalls in Medical Literature. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40295-1_6.

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Cohen, Adam L. "Berkson’s Bias." In Problems and Pitfalls in Medical Literature. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40295-1_7.

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Cohen, Adam L. "Selection Bias." In Problems and Pitfalls in Medical Literature. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40295-1_4.

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Cohen, Adam L. "Ascertainment Bias." In Problems and Pitfalls in Medical Literature. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40295-1_5.

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Cohen, Adam L. "Lead Time Bias." In Problems and Pitfalls in Medical Literature. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40295-1_1.

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Cohen, Adam L. "Length Time Bias." In Problems and Pitfalls in Medical Literature. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40295-1_2.

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Cohen, Adam L. "Immortal Time Bias." In Problems and Pitfalls in Medical Literature. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40295-1_3.

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Shanouda, Fady. "Medical equipment." In Weight Bias in Health Education. Routledge, 2021. http://dx.doi.org/10.4324/9781003057000-4.

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Seibel, Marc S., Timo Kepp, Hristina Uzunova, Jan Ehrhardt, and Heinz Handels. "Assessing Spatial Bias in Medical Imaging." In Informatik aktuell. Springer Fachmedien Wiesbaden, 2025. https://doi.org/10.1007/978-3-658-47422-5_39.

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Conference papers on the topic "Medical bias"

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Smulders, Milan, Dufan Wu, and Rajiv Gupta. "Exploring bias in spectral CT material decomposition: a simulation-based approach." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3047261.

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Xiang, Jinhai, Yan Zhang, JiaKun Yu, and Xinwei He. "BcMatch: Semi-supervised Medical Image Segmentation with Bias Correction." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822450.

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Li, Shenghao, Zhen Li, Na Lei, Shixia Liu, and Xiaonan Luo. "Uncovering Bias in Medical Data Synthesis Through Visualization Technique." In 2024 International Symposium on Digital Home (ISDH). IEEE, 2024. https://doi.org/10.1109/isdh64927.2024.00066.

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Wei, Jia, Donghyeon Lee, Karl Stierstorfer, et al. "Log conversion with fewer counts for photon counting CT: decreasing both bias and variance simultaneously." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3046256.

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Zhang, Ran, Shujie Jin, Zilin Jiang, Ke Li, and Guang-Hong Chen. "A study of bias and precision in conditional diffusion denoising probabilistic models (DDPMs) for CT imaging." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3048822.

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Platte, Benny, Danny Kowerko, Holger Langner, Jan Anastassis Skuras, Marc Ritter, and Christian Roschke. "“Synthetic-Seed-Saturation“ Concept: Overcome Nonresponse-Bias in Retrospective Medical Studies." In 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI). IEEE, 2024. http://dx.doi.org/10.1109/ichi61247.2024.00122.

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Dehghani, Farzaneh, Nikita Malik, Joanna Lin, Sayeh Bayat, and Mariana Bento. "Fairness in Healthcare: Assessing Data Bias and Algorithmic Fairness." In 2024 20th International Symposium on Medical Information Processing and Analysis (SIPAIM). IEEE, 2024. https://doi.org/10.1109/sipaim62974.2024.10783630.

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Boughareb, Djalila, Hana Bordjiba, Rima Boughareb, and Hamid Seridi. "Bias Mitigation in Medical Datasets: Enhancing GBM and KNN Predictive Models with SMOTE Techniques." In 2024 2nd International Conference on Computing and Data Analytics (ICCDA). IEEE, 2024. https://doi.org/10.1109/iccda64887.2024.10867315.

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Munia, Nusrat, and Abdullah Al Zubaer Imran. "Prompting Medical Vision-Language Models to Mitigate Diagnosis Bias by Generating Realistic Dermoscopic Images." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980892.

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Tustison, Nicholas J., Brian B. Avants, Philip A. Cook, James C. Gee, and James R. Stone. "Statistical bias in optimized VBM." In SPIE Medical Imaging, edited by John B. Weaver and Robert C. Molthen. SPIE, 2013. http://dx.doi.org/10.1117/12.2006377.

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Reports on the topic "Medical bias"

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Sianesi, Barbara. ‘Randomisation bias’ in the medical literature: a review. The IFS, 2016. http://dx.doi.org/10.1920/wp.ifs.2016.1623.

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Robin Lynn Treptow, Robin Lynn Treptow. Does bias about medical diagnosis link to expectations of mental health problems for infants and their parents? Experiment, 2016. http://dx.doi.org/10.18258/8721.

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Ferryman, Kadija. Framing Inequity in Health Technology: The Digital Divide, Data Bias, and Racialization. Just Tech, Social Science Research Council, 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 circula
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Mullainathan, Sendhil, and Andrei Shleifer. Media Bias. National Bureau of Economic Research, 2002. http://dx.doi.org/10.3386/w9295.

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Jenkins, J. Lee, Enid Chung Roemer, Edbert B. Hsu, et al. Mental Health and Occupational Stress in the Emergency Medical Services and 911 Workforces. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcsr911.

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Objectives. This Systematic Review addresses the mental health of the Emergency Medical Services (EMS) and 911 telecommunicator workforces. We addressed Key Questions (KQs) related to the: (1) incidence, prevalence, and severity of mental health and occupational stress issues; (2) benefits and harms of interventions to promote resistance and resilience regarding these issues; (3) contextual and implementation factors for practices to address these issues; and (4) future research needs. Data sources. We searched Medline®, Embase®, Cochrane CENTRAL, PsycINFO®, CINAHL®, journals not indexed in Me
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Gentzkow, Matthew, and Jesse Shapiro. Media Bias and Reputation. National Bureau of Economic Research, 2005. http://dx.doi.org/10.3386/w11664.

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Tang, Li-li, Yue-dong Liu, Hong-wu Tao, Wen-zhe Feng, Yu-ping Shu, and Fan-yan Meng. The efficacy and safety of ulcerative colitis treatment based on the theory of the " lung–gut axis ": a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.3.0014.

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Review question / Objective: The purpose of this study was to investigate the difference between the curative effect of traditional Chinese medicine or integrated traditional Chinese and Western medicine on ulcerative colitis under the guidance of lung-intestine axis theory and that of Western medicine alone. The selected research method was to search relevant randomized controlled trial in Chinese and English medical databases. The Cochrane bias risk assessment tool was used to analyze the quality of RCT studies, and RevMan 5.3 was used for efficacy evaluation and meta-analysis. Condition bei
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Nguyen-Feng, Viann N., Marizen Ramirez, Kathryn L. Behrens, et al. Trauma Informed Care: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcsrtrauma.

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Objectives. To examine how Trauma Informed Care (TIC) and its components are defined and operationalized, and to examine the state of the evidence on effectiveness and potential harms of TIC approaches, frameworks, models, and components. Data sources. We searched Medline (Ovid)®, APA PsycInfo® (Ovid), CINAHL® (EBSCOHost), ERIC (EBSCOHost), and Scopus (Elsevier) for peer-reviewed articles published through July 19, 2024. Grey literature was also searched for Contextual Questions regarding TIC definitions and organizational and clinical components. Review methods. We used methods consistent wit
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Parsons, Helen M., Hamdi I. Abdi, Victoria A. Nelson, et al. Transitions of Care From Pediatric to Adult Services for Children With Special Healthcare Needs. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepccer255.

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Objective. To understand the evidence base for care interventions, implementation strategies, and between-provider communication tools among children with special healthcare needs (CSHCN) transitioning from pediatric to adult medical care services. Data sources. We searched Ovid MEDLINE, Ovid Embase, the Cochrane Central trials (CENTRAL) registry, and CINAHL to identify studies through September 10, 2021. We conducted grey literature searches to identify additional resources relevant to contextual questions. Review methods. Using a mixed-studies review approach, we searched for intervention
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Gentzkow, Matthew, Jesse Shapiro, and Daniel Stone. Media Bias in the Marketplace: Theory. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w19880.

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