{"title":"Swimming in the Sea of Real-World Evidence Guidance: Why More Guidance Documents Are Needed to Help Researchers Swim.","authors":"Sandipan Bhattacharjee","doi":"10.1016/j.jval.2026.07.006","DOIUrl":null,"url":null,"abstract":"<p><p>Real-world evidence (RWE) plays an expanding role in regulatory, health technology assessment, and lifecycle decision making, prompting a rapid increase in guidance documents intended to support its generation and use. This commentary argues that additional guidance is not redundant; rather, it is necessary to sustain consistency, credibility, and confidence as RWE methods become more specialized and operationally complex. Recent advances, including pragmatic and registry-based trials, hybrid randomized-real-world designs, external control arms, artificial intelligence and machine learning applications, digital health data, synthetic controls, and data tokenization, have outpaced the scope of many existing frameworks. Although recent reporting initiatives and international harmonization efforts have improved transparency and reproducibility, important gaps remain in implementation-focused guidance on issues such as causal inference, dynamic borrowing, linkage validation, algorithm auditability, reproducibility, and distributed data environments. The need is further amplified by heterogeneity across regulatory and health technology assessment agencies, for which differing evidentiary expectations can create uncertainty and inefficiency, and by the limited availability of context-appropriate guidance for low- and middle-income countries, where structural data and infrastructure constraints may hinder RWE generation and use. Future progress should emphasize targeted, modular, and potentially \"living\" guidance that is updated as methods evolve, while also improving uptake of existing frameworks through clearer reporting expectations, education, and stakeholder collaboration. More guidance, when focused and implementation oriented, can better translate methodological principles into decision-grade RWE.</p>","PeriodicalId":23508,"journal":{"name":"Value in Health","volume":" ","pages":""},"PeriodicalIF":6.2000,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Value in Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jval.2026.07.006","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Real-world evidence (RWE) plays an expanding role in regulatory, health technology assessment, and lifecycle decision making, prompting a rapid increase in guidance documents intended to support its generation and use. This commentary argues that additional guidance is not redundant; rather, it is necessary to sustain consistency, credibility, and confidence as RWE methods become more specialized and operationally complex. Recent advances, including pragmatic and registry-based trials, hybrid randomized-real-world designs, external control arms, artificial intelligence and machine learning applications, digital health data, synthetic controls, and data tokenization, have outpaced the scope of many existing frameworks. Although recent reporting initiatives and international harmonization efforts have improved transparency and reproducibility, important gaps remain in implementation-focused guidance on issues such as causal inference, dynamic borrowing, linkage validation, algorithm auditability, reproducibility, and distributed data environments. The need is further amplified by heterogeneity across regulatory and health technology assessment agencies, for which differing evidentiary expectations can create uncertainty and inefficiency, and by the limited availability of context-appropriate guidance for low- and middle-income countries, where structural data and infrastructure constraints may hinder RWE generation and use. Future progress should emphasize targeted, modular, and potentially "living" guidance that is updated as methods evolve, while also improving uptake of existing frameworks through clearer reporting expectations, education, and stakeholder collaboration. More guidance, when focused and implementation oriented, can better translate methodological principles into decision-grade RWE.
期刊介绍:
Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.