[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-446164-105":59,"doc-detail-446164-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","evidence-biased-medicine-applying-a-health-equity-lens-to-sacketts-methodological-framework","Evidence-biased medicine - Applying a health equity lens to Sackett’s methodological framework","","Evidence-biased medicine describes how medical research and clinical inference can systematically diverge from the truth, especially when populations most affected by poor access and health inequities are under-represented. The analysis links the inverse care law with the inverse research law, arguing that narrow evidence bases can yield treatments that do not work equally well. It details positionality and a 7-step bias framework, outlining examples across research agendas, designs, interventions, data collection, and analysis that perpetuate disparities and inflate costs while weakening public trust.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/evidence-biased-medicine-applying-a-health-equity-lens-to-sacketts-methodological-framework/446164/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/evidence-biased-medicine-applying-a-health-equity-lens-to-sacketts-methodological-framework/446164.png","ImageObject",300,407,{"name":92,"@type":93},"Angel","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-31","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the inverse research law in evidence-biased medicine?","Question",{"text":112,"@type":113},"It refers to the under-representation of underserved groups in medical research despite their higher risk of ill health. This can cause evidence to fail to reflect the diversity of the general population.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does evidence bias affect clinical practice and healthcare outcomes?",{"text":117,"@type":113},"When biases are embedded in research, they can become rooted in clinical practice, perpetuate health disparities, and drive up costs through delayed diagnoses and limited treatment options.",{"name":119,"@type":110,"acceptedAnswer":120},"What does the 7-step equity-focused framework cover?",{"text":121,"@type":113},"It addresses individual and system-wide influences on positionality and the stages of bias, explaining how these can prevent research from improving health for the whole population.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},446164,1790813081,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":29,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":24,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},687207412472,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Analysis  \nEvidence-biased medicine?  \nApplying a health equity lens to Sackett’s methodological framework  \nCaroline Mitchell, Teresa Hagan, Kate Fryer, Josephine Reynolds, Rebecca Mawson, Qizhi Huang, Laura Emery, Benjamin Duke and Mahendra G Patel  \nThe inverse research law  \nThe ‘inverse care law’ highlights how those who need  \nhealth care the most often receive the least. This  \nincludes socioeconomically disadvantaged individuals, racially minoritised groups, people with disabilities, and other marginalised communities. These inequalities are exacerbated by the intersectionality of the social determinants and economic factors that shape health outcomes, and the systemic barriers that continue to limit access to equitable care.1 Expanding on this, the ‘inverse research law’ refers to the under-representation of these same underserved groups in medical research, even though they face a higher risk of ill health. Evidence-based medicine, the backbone of modern clinical practice, is only as good as the evidence it is derived from. If research representation does not truly reflect the diversity of the general population, medicines and other healthcare interventions may not work for everyone.2 Tackling  \nthe ‘inverse research law’ isn’t only about health justice, it improves health care for all by creating more rigorous science.  \nSackett, the‘father of evidence-based medicine’, described bias as: ‘any process at any stage of inference which tends to produce results or conclusions that differ systematically from the truth’.3 Bias is defined by the Oxford Dictionary as: ‘an inclination or prejudice for or against one person or group, especially in away considered to be unfair’ and‘a concentration on an interest in one particular area or subject’.4 When biases, whether political, institutional, or researcher driven, are embedded in medical research, they can become deeply rooted in clinical practice, perpetuate health disparities, and indirectly drive up healthcare costs through, for example, differential access to preventive measures, delayed diagnoses, and lack of treatment options.5,6 Gaps in understanding health conditions, and treatment effectiveness across‘real-world’ diverse populations, pose a  \nFigure 1. Equity-focused 7-step framework of bias (derived from Sackett: Appendix A—‘Catalogue of Biases’) .3  \n6. In interpreting the analysis  \nIndividual and system-wide influences on positionality and the 7 stages of bias can prevent research from improving the health of the whole population.  \nThis can specifically affect those with worse access to care, higher prevalence of disease, and worse outcomes  \n574 | ANALYSIS British Journal of General Practice, December 2025  \nAnalysis  \nchallenge in day-to-day health care where clinicians assume that their clinical practice is evidenced-based, rather than evidence-biased, and derived from sound scientific research. There are many examples of evidence-biased medicine, from medications that are less effective in certain groups, to racial profiling in pain management.7,8 Addressing these gaps is crucial to ensure that all populations benefit equally from evidencebased medicine.  \nPublic trust in the recommendations of clinicians and research institutions is increasingly fragile, with vaccine hesitancy just one aspect of wider scepticism in medical science.9 The US, with its huge population and esteemed research institutions, is the global engine room of evidencebased medicine. Systematic undermining of the conceptual framework of our understanding of bias in research may dismantle the progress made in the reporting of key sociodemographic and ethnicity characteristics within clinical  \nFigure 2. Equity bias in healthcare research with examples (adapted from Sackett’s framework of bias.3  \n| Bias: Research agendas often mirror the agendas of powerful stakeholders: institutions, ‘Big Pharma’, biomedical laboratories, single-specialty clinicians, and politically influenced funder, while ","cbCaik09ztyyHtTL","https://ap.wps.com/l/cbCaik09ztyyHtTL","pdf",235129,"English","# Evidence-biased medicine\n## Inverse care law and inverse research law\n## Bias definitions and impacts\n## Equity-focused 7-step bias framework\n## Examples of equity bias in research","[{\"question\":\"What is the inverse research law in evidence-biased medicine?\",\"answer\":\"It refers to the under-representation of underserved groups in medical research despite their higher risk of ill health. This can cause evidence to fail to reflect the diversity of the general population.\"},{\"question\":\"How does evidence bias affect clinical practice and healthcare outcomes?\",\"answer\":\"When biases are embedded in research, they can become rooted in clinical practice, perpetuate health disparities, and drive up costs through delayed diagnoses and limited treatment options.\"},{\"question\":\"What does the 7-step equity-focused framework cover?\",\"answer\":\"It addresses individual and system-wide influences on positionality and the stages of bias, explaining how these can prevent research from improving health for the whole population.\"}]","Evidence-biased medicine - Applying a health equity lens to Sackett’s methodological framework | PDF",1790714356,13]