{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T13:20:32Z","timestamp":1747228832289,"version":"3.40.5"},"reference-count":34,"publisher":"Ubiquity Press, Ltd.","issue":"1","license":[{"start":{"date-parts":[[2018,5,25]],"date-time":"2018-05-25T00:00:00Z","timestamp":1527206400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["eGEMs"],"abstract":"<jats:p>Introduction: Patient privacy and data security concerns often limit the feasibility of pooling patient-level data from multiple sources for analysis. Distributed data networks (DDNs) that employ privacy-protecting analytical methods, such as distributed regression analysis (DRA), can mitigate these concerns. However, DRA is not routinely implemented in large DDNs.Objective: We describe the design and implementation of a process framework and query workflow that allow automatable DRA in real-world DDNs that use PopMedNet\u2122, an open-source distributed networking software platform.Methods: We surveyed and catalogued existing hardware and software configurations at all data partners in the Sentinel System, a PopMedNet-driven DDN. Key guiding principles for the design included minimal disruptions to the current PopMedNet query workflow and minimal modifications to data partners\u2019 hardware configurations and software requirements.Results: We developed and implemented a three-step process framework and PopMedNet query workflow that enables automatable DRA: 1) assembling a de-identified patient-level dataset at each data partner, 2) distributing a DRA package to data partners for local iterative analysis, and 3) iteratively transferring intermediate files between data partners and analysis center. The DRA query workflow is agnostic to statistical software, accommodates different regression models, and allows different levels of user-specified automation.Discussion: The process framework can be generalized to and the query workflow can be adopted by other PopMedNet-based DDNs.Conclusion: DRA has great potential to change the paradigm of data analysis in DDNs. Successful implementation of DRA in Sentinel will facilitate adoption of the analytic approach in other DDNs.\u00a0<\/jats:p>","DOI":"10.5334\/egems.209","type":"journal-article","created":{"date-parts":[[2018,5,25]],"date-time":"2018-05-25T16:53:38Z","timestamp":1527267218000},"page":"11","source":"Crossref","is-referenced-by-count":11,"title":["A Query Workflow Design to Perform Automatable Distributed Regression Analysis in Large Distributed Data Networks"],"prefix":"10.5334","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6427-1032","authenticated-orcid":false,"given":"Qoua L.","family":"Her","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jessica M.","family":"Malenfant","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarah","family":"Malek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yury","family":"Vilk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jessica","family":"Young","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingling","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffery","family":"Brown","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sengwee","family":"Toh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3285","published-online":{"date-parts":[[2018,5,25]]},"reference":[{"issue":"6 Suppl","key":"key20180525125331_B1","first-page":"S45","article-title":"Distributed health data networks: a practical and preferred approach to multi-institutional evaluations of comparative effectiveness, safety, and quality of care","volume":"48","year":"2010","journal-title":"Med Care"},{"issue":"5","key":"key20180525125331_B2","doi-asserted-by":"crossref","first-page":"341","DOI":"10.7326\/0003-4819-151-5-200909010-00139","article-title":"Design of a national distributed health data network","volume":"151","year":"2009","journal-title":"Ann Intern Med"},{"issue":"6","key":"key20180525125331_B3","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1038\/clpt.2011.236","article-title":"Comparative-effectiveness research in distributed health data networks","volume":"90","year":"2011","journal-title":"Clin Pharmacol Ther"},{"issue":"42","key":"key20180525125331_B4","doi-asserted-by":"crossref","first-page":"5390","DOI":"10.1016\/j.vaccine.2014.07.073","article-title":"The Vaccine Safety Datalink: successes and challenges monitoring vaccine safety","volume":"32","year":"2014","journal-title":"Vaccine"},{"issue":"e2","key":"key20180525125331_B5","doi-asserted-by":"crossref","first-page":"e226","DOI":"10.1136\/amiajnl-2013-001926","article-title":"Electronic health records based phenotyping in next-generation clinical trials: a perspective from the NIH Health Care Systems Collaboratory","volume":"20","year":"2013","journal-title":"J Am Med Inform Assoc"},{"issue":"Suppl 1","key":"key20180525125331_B6","first-page":"1","article-title":"The U.S. Food and Drug Administration\u2019s Mini-Sentinel program: status and direction","volume":"21","year":"2012","journal-title":"Pharmacoepidemiol Drug Saf"},{"issue":"4","key":"key20180525125331_B7","doi-asserted-by":"crossref","first-page":"578","DOI":"10.1136\/amiajnl-2014-002747","article-title":"Launching PCORnet, a national patient-centered clinical research network","volume":"21","year":"2014","journal-title":"J Am Med Inform Assoc"},{"issue":"11","key":"key20180525125331_B8","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1002\/pds.3483","article-title":"Multivariable confounding adjustment in distributed data networks without sharing of patient-level data","volume":"22","year":"2013","journal-title":"Pharmacoepidemiol Drug Saf"},{"issue":"8","key":"key20180525125331_B9","first-page":"S4","article-title":"Confounding adjustment in comparative effectiveness research conducted within distributed research networks","volume":"51","year":"2013","journal-title":"Med Care"},{"key":"key20180525125331_B10","unstructured":"Rassen, JA, Moran, J, Toh, D, Kowal, MK, Johnson, K, Shoaibi, A, et al. Evaluating strategies for data sharing and analyses in distributed data settings 2013 [05\/08\/2018]. Available from: https:\/\/www.sentinelinitiative.org\/sites\/default\/files\/Methods\/Mini-Sentinel_Methods_Evaluating-Strategies-for-Data-Sharing-and-Analyses_0.pdf."},{"issue":"7","key":"key20180525125331_B11","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1097\/MLR.0000000000000147","article-title":"Privacy-preserving analytic methods for multisite comparative effectiveness and patient-centered outcomes research","volume":"52","year":"2014","journal-title":"Med Care"},{"issue":"3","key":"key20180525125331_B12","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1080\/09332480.2004.10554910","article-title":"Analysis of Integrated Data without Data Integration","volume":"17","year":"2004","journal-title":"CHANCE"},{"year":"2006","key":"key20180525125331_B13"},{"issue":"5","key":"key20180525125331_B14","doi-asserted-by":"crossref","first-page":"1372","DOI":"10.1093\/ije\/dyq111","article-title":"DataSHIELD: resolving a conflict in contemporary bioscience\u2013performing a pooled analysis of individual-level data without sharing the data","volume":"39","year":"2010","journal-title":"Int J Epidemiol"},{"issue":"5","key":"key20180525125331_B15","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1136\/amiajnl-2012-000862","article-title":"Grid Binary LOgistic REgression (GLORE): building shared models without sharing data","volume":"19","year":"2012","journal-title":"J Am Med Inform Assoc"},{"issue":"3","key":"key20180525125331_B16","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1136\/amiajnl-2011-000735","article-title":"A secure distributed logistic regression protocol for the detection of rare adverse drug events","volume":"20","year":"2013","journal-title":"J Am Med Inform Assoc"},{"issue":"3","key":"key20180525125331_B17","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1016\/j.jbi.2013.03.008","article-title":"EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning","volume":"46","year":"2013","journal-title":"J Biomed Inform"},{"issue":"6","key":"key20180525125331_B18","doi-asserted-by":"crossref","first-page":"1212","DOI":"10.1093\/jamia\/ocv083","article-title":"WebDISCO: a web service for distributed cox model learning without patient-level data sharing","volume":"22","year":"2015","journal-title":"J Am Med Inform Assoc"},{"issue":"24","key":"key20180525125331_B19","doi-asserted-by":"crossref","first-page":"3238","DOI":"10.1093\/bioinformatics\/btt559","article-title":"WebGLORE: a web service for Grid LOgistic REgression","volume":"29","year":"2013","journal-title":"Bioinformatics"},{"issue":"1","key":"key20180525125331_B20","article-title":"Development of a web service for analysis in a distributed network","volume":"2","year":"2014","journal-title":"EGEMS"},{"issue":"6","key":"key20180525125331_B21","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1093\/jamia\/ocv017","article-title":"A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research","volume":"22","year":"2015","journal-title":"J Am Med Inform Assoc"},{"issue":"7","key":"key20180525125331_B22","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1377\/hlthaff.2014.0121","article-title":"Four health data networks illustrate the potential for a shared national multipurpose big-data network","volume":"33","year":"2014","journal-title":"Health Aff (Millwood)"},{"issue":"3","key":"key20180525125331_B23","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1002\/cpt.320","article-title":"The FDA\u2019s sentinel initiative\u2013A comprehensive approach to medical product surveillance","volume":"99","year":"2016","journal-title":"Clin Pharmacol Ther"},{"issue":"S1","key":"key20180525125331_B24","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1002\/pds.2336","article-title":"Design considerations, architecture, and use of the Mini-Sentinel distributed data system","volume":"21","year":"2012","journal-title":"Pharmacoepidemiol Drug Saf"},{"key":"key20180525125331_B25","unstructured":"Sentinel System. Routine Querying System 2018 [05\/08\/2018]. Available from: https:\/\/www.sentinelinitiative.org\/sentinel\/surveillance-tools\/routine-querying-tools\/routine-querying-system."},{"issue":"5","key":"key20180525125331_B26","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1002\/cpt.429","article-title":"Successful comparison of US Food and Drug Administration Sentinel Analysis Tools to traditional approaches in quantifying a known drug-adverse event association","volume":"100","year":"2016","journal-title":"Clin Pharmacol Ther"},{"issue":"6","key":"key20180525125331_B27","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1097\/EDE.0000000000000709","article-title":"Sentinel modular program for propensity score-matched cohort analyses: application to glyburide, glipizide, and serious hypoglycemia","volume":"28","year":"2017","journal-title":"Epidemiology"},{"issue":"4","key":"key20180525125331_B28","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1136\/amiajnl-2014-002707","article-title":"Query Health: standards-based, cross-platform population health surveillance","volume":"21","year":"2014","journal-title":"J Am Med Inform Assoc"},{"issue":"2","key":"key20180525125331_B29","first-page":"1213","article-title":"Software-enabled distributed network governance: the PopMedNet experience","volume":"4","year":"2016","journal-title":"EGEMS"},{"key":"key20180525125331_B30","unstructured":"PopMedNet. System Security \u2013 Documentation \u2013 PopMedNet Wiki 2018 [05\/08\/2018]. Available from: https:\/\/popmednet.atlassian.net\/wiki\/display\/DOC\/System+Security."},{"year":"2004","key":"key20180525125331_B31"},{"key":"key20180525125331_B32","article-title":"\u201cSecure\u201d logistic regression of horizontally and vertically partitioned distributed databases"},{"issue":"3","key":"key20180525125331_B33","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1093\/jamia\/ocv146","article-title":"VERTIcal Grid lOgistic regression (VERTIGO)","volume":"23","year":"2016","journal-title":"J Am Med Inform Assoc"},{"issue":"2","key":"key20180525125331_B34","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1198\/106186005X47714","article-title":"Secure regression on distributed databases","volume":"14","year":"2005","journal-title":"Journal of Computational and Graphical Statistics"}],"container-title":["eGEMs (Generating Evidence &amp; Methods to improve patient outcomes)"],"original-title":[],"link":[{"URL":"https:\/\/up-j-gemgem.ubiquityjournal.website\/articles\/209\/294","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/up-j-gemgem.ubiquityjournal.website\/articles\/209\/295","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/up-j-gemgem.ubiquityjournal.website\/articles\/209\/294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T00:56:11Z","timestamp":1720313771000},"score":1,"resource":{"primary":{"URL":"https:\/\/up-j-gemgem.ubiquityjournal.website\/articles\/209"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,25]]},"references-count":34,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,1,24]]}},"URL":"https:\/\/doi.org\/10.5334\/egems.209","relation":{},"ISSN":["2327-9214"],"issn-type":[{"type":"electronic","value":"2327-9214"}],"subject":[],"published":{"date-parts":[[2018,5,25]]}}}