Literature DB >> 32479175

Research and Reporting Considerations for Observational Studies Using Electronic Health Record Data.

Alison Callahan1, Nigam H Shah1, Jonathan H Chen2.   

Abstract

Electronic health records (EHRs) are an increasingly important source of real-world health care data for observational research. Analyses of data collected for purposes other than research require careful consideration of data quality as well as the general research and reporting principles relevant to observational studies. The core principles for observational research in general also apply to observational research using EHR data, and these are well addressed in prior literature and guidelines. This article provides additional recommendations for EHR-based research. Considerations unique to EHR-based studies include assessment of the accuracy of computer-executable cohort definitions that can incorporate unstructured data from clinical notes and management of data challenges, such as irregular sampling, missingness, and variation across time and place. Principled application of existing research and reporting guidelines alongside these additional considerations will improve the quality of EHR-based observational studies.

Entities:  

Year:  2020        PMID: 32479175     DOI: 10.7326/M19-0873

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  8 in total

1.  A Data-Driven Reference Standard for Adverse Drug Reaction (RS-ADR) Signal Assessment: Development and Validation.

Authors:  Suehyun Lee; Jeong Hoon Lee; Grace Juyun Kim; Jong-Yeup Kim; Hyunah Shin; Inseok Ko; Seon Choe; Ju Han Kim
Journal:  J Med Internet Res       Date:  2022-10-06       Impact factor: 7.076

2.  Machine learning versus traditional methods for the development of risk stratification scores: a case study using original Canadian Syncope Risk Score data.

Authors:  Lars Grant; Pil Joo; Marie-Joe Nemnom; Venkatesh Thiruganasambandamoorthy
Journal:  Intern Emerg Med       Date:  2021-11-03       Impact factor: 5.472

3.  Risk factors for Lyme disease stage and manifestation using electronic health records.

Authors:  Katherine A Moon; Jonathan S Pollak; Melissa N Poulsen; Christopher D Heaney; Annemarie G Hirsch; Brian S Schwartz
Journal:  BMC Infect Dis       Date:  2021-12-20       Impact factor: 3.090

Review 4.  Electronic Health Record Network Research in Infectious Diseases.

Authors:  Ravi Jhaveri; Jordan John; Marc Rosenman
Journal:  Clin Ther       Date:  2021-10-08       Impact factor: 3.393

5.  Real world effectiveness of digital mental health services during the COVID-19 pandemic.

Authors:  Maximo R Prescott; Sara J Sagui-Henson; Camille E Welcome Chamberlain; Cynthia Castro Sweet; Myra Altman
Journal:  PLoS One       Date:  2022-08-18       Impact factor: 3.752

6.  Documented nursing practices of pain assessment and management when communicating about pain in dementia care.

Authors:  Yvette I-Pei Tsai; Graeme Browne; Kerry Jill Inder
Journal:  J Adv Nurs       Date:  2022-04-18       Impact factor: 3.057

7.  Validation and Improvement of a Convolutional Neural Network to Predict the Involved Pathology in a Head and Neck Surgery Cohort.

Authors:  Dorian Culié; Renaud Schiappa; Sara Contu; Boris Scheller; Agathe Villarme; Olivier Dassonville; Gilles Poissonnet; Alexandre Bozec; Emmanuel Chamorey
Journal:  Int J Environ Res Public Health       Date:  2022-09-26       Impact factor: 4.614

8.  Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error: the ELMO cluster randomized trial.

Authors:  Nicolas Delvaux; Veerle Piessens; Tine De Burghgraeve; Pavlos Mamouris; Bert Vaes; Robert Vander Stichele; Hanne Cloetens; Josse Thomas; Dirk Ramaekers; An De Sutter; Bert Aertgeerts
Journal:  Implement Sci       Date:  2020-11-04       Impact factor: 7.327

  8 in total

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