Published on in Vol 20, No 5 (2018): May

Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse

Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse

Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse

Journals

  1. Van den Bulck S, Vankrunkelsven P, Goderis G, Broekx L, Dreesen K, Ruijten L, Mpoukouvalas D, Hermens R. Development of quality indicators for type 2 diabetes, extractable from the electronic health record of the general physician. A rand-modified Delphi method. Primary Care Diabetes 2020;14(1):75 View
  2. Thayer D, Rees A, Kennedy J, Collins H, Harris D, Halcox J, Ruschetti L, Noyce R, Brooks C, De Luca V. Measuring follow-up time in routinely-collected health datasets: Challenges and solutions. PLOS ONE 2020;15(2):e0228545 View
  3. Delvaux N, Aertgeerts B, van Bussel J, Goderis G, Vaes B, Vermandere M. Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation. JMIR Medical Informatics 2018;6(4):e11428 View
  4. Levitin S, Grbic J, Finkelstein J. Completeness of Electronic Dental Records in a Student Clinic: Retrospective Analysis. JMIR Medical Informatics 2019;7(1):e13008 View
  5. Joling K, Janssen O, Francke A, Verheij R, Lissenberg‐Witte B, Visser P, Hout H. Time from diagnosis to institutionalization and death in people with dementia. Alzheimer's & Dementia 2020;16(4):662 View
  6. Dagliati A, Plant D, Nair N, Jani M, Amico B, Peek N, Morgan A, Isaacs J, Wilson A, Hyrich K, Geifman N, Barton A. Latent Class Trajectory Modeling of 2‐Component Disease Activity Score in 28 Joints Identifies Multiple Rheumatoid Arthritis Phenotypes of Response to Biologic Disease‐Modifying Antirheumatic Drugs. Arthritis & Rheumatology 2020 View
  7. Eggermont D, Smit M, Kwestroo G, Verheij R, Hek K, Kunst A. The influence of gender concordance between general practitioner and patient on antibiotic prescribing for sore throat symptoms: a retrospective study. BMC Family Practice 2018;19(1) View
  8. van den Driessen Mareeuw F, Coppus A, Delnoij D, de Vries E. Capturing the complexity of healthcare for people with Down syndrome in quality indicators - a Delphi study involving healthcare professionals and patient organisations. BMC Health Services Research 2020;20(1) View
  9. Booth H, Gallagher A, Mullett D, Carty L, Padmanabhan S, Myles P, Welburn S, Hoghton M, Rafi I, Valentine J. Quality improvement of prescribing safety: a pilot study in primary care using UK electronic health records. British Journal of General Practice 2019;69(686):e605 View
  10. Rasenberg N, Bierma-Zeinstra S, Bindels P, van der Lei J, van Middelkoop M. Incidence, prevalence, and management of plantar heel pain: a retrospective cohort study in Dutch primary care. British Journal of General Practice 2019;69(688):e801 View
  11. Mendlowitz A, Croxford R, MacLagan L, Ritcey G, Isaranuwatchai W. Usage of primary and administrative data to measure the economic impact of quality improvement projects. BMJ Open Quality 2020;9(2):e000712 View
  12. Van den Bulck S, Vankrunkelsven P, Goderis G, Van Pottelbergh G, Swerts J, Panis K, Hermens R. Developing quality indicators for Chronic Kidney Disease in primary care, extractable from the Electronic Medical Record. A Rand-modified Delphi method. BMC Nephrology 2020;21(1) View
  13. Kitsos A, Peterson G, Jose M, Khanam M, Castelino R, Radford J. Variation in Documenting Diagnosable Chronic Kidney Disease in General Medical Practice: Implications for Quality Improvement and Research. Journal of Primary Care & Community Health 2019;10:215013271983329 View
  14. Koo M, Lyratzopoulos G, Herbert A, Abel G, Taylor R, Barber J, Gibson F, Whelan J, Fern L. Association of Self-reported Presenting Symptoms With Timeliness of Help-Seeking Among Adolescents and Young Adults With Cancer in the BRIGHTLIGHT Study. JAMA Network Open 2020;3(9):e2015437 View
  15. Henley-Smith S, Boyle D, Gray K. Improving a Secondary Use Health Data Warehouse: Proposing a Multi-Level Data Quality Framework. eGEMs (Generating Evidence & Methods to improve patient outcomes) 2019;7(1):38 View
  16. Ni K, Chu H, Zeng L, Li N, Zhao Y. Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study. BMJ Open 2019;9(7):e029314 View
  17. Cook R, Jones S, Williams G, Worsley D, Walker R, Radford M, Leary A. An observational study on the rate of reporting of adverse event on healthcare staff in a mental health setting: An application of Poisson expectation maximisation analysis on nurse staffing data. Health Informatics Journal 2020;26(2):1333 View
  18. Izem R, Huang T, Hou L, Pestine E, Nguyen M, Maro J. Quantifying how small variations in design elements affect risk in an incident cohort study in claims. Pharmacoepidemiology and Drug Safety 2020;29(1):84 View
  19. Bossen C, Piras E. Introduction to the Special Issue on ‘Information Infrastructures in Healthcare: Governance, Quality Improvement and Service Efficiency’. Computer Supported Cooperative Work (CSCW) 2020;29(4):381 View
  20. De Groot K, Triemstra M, Paans W, Francke A. Quality criteria, instruments, and requirements for nursing documentation: A systematic review of systematic reviews. Journal of Advanced Nursing 2019;75(7):1379 View
  21. Erlingsdóttir G, Petersson L, Jonnergård K. A Theoretical Twist on the Transparency of Open Notes: Qualitative Analysis of Health Care Professionals’ Free-Text Answers. Journal of Medical Internet Research 2019;21(9):e14347 View
  22. Uwizeyemungu S, Poba-Nzaou P, Cantinotti M. European Hospitals’ Transition Toward Fully Electronic-Based Systems: Do Information Technology Security and Privacy Practices Follow?. JMIR Medical Informatics 2019;7(1):e11211 View
  23. Dillard L, Saunders G, Zobay O, Naylor G. Insights Into Conducting Audiological Research With Clinical Databases. American Journal of Audiology 2020;29(3S):676 View
  24. Baliatsas C, Smit L, Dückers M, van Dijk C, Heederik D, Yzermans C. Patients with overlapping diagnoses of asthma and COPD: is livestock exposure a risk factor for comorbidity and coexisting symptoms and infections?. BMC Pulmonary Medicine 2019;19(1) View
  25. Janssen O, Vos S, Handels R, Vermunt L, Verheij R, Verhey F, van Hout H, Visser P, Joling K. Duration of Care Trajectories in Persons With Dementia Differs According to Demographic and Clinical Characteristics. Journal of the American Medical Directors Association 2020;21(8):1102 View
  26. Fu L, Schwartz J, Moy A, Knaplund C, Kang M, Schnock K, Garcia J, Jia H, Dykes P, Cato K, Albers D, Rossetti S. Development and validation of early warning score system: A systematic literature review. Journal of Biomedical Informatics 2020;105:103410 View
  27. Dennis S, Taggart J, Yu H, Jalaludin B, Harris M, Liaw S. Linking observational data from general practice, hospital admissions and diabetes clinic databases: can it be used to predict hospital admission?. BMC Health Services Research 2019;19(1) View
  28. Keshta I, Odeh A. Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal 2020 View
  29. Broekstra R, Maeckelberghe E, Aris-Meijer J, Stolk R, Otten S. Motives of contributing personal data for health research: (non-)participation in a Dutch biobank. BMC Medical Ethics 2020;21(1) View
  30. Garies S, Cummings M, Quan H, McBrien K, Drummond N, Manca D, Williamson T. Methods to improve the quality of smoking records in a primary care EMR database: exploring multiple imputation and pattern-matching algorithms. BMC Medical Informatics and Decision Making 2020;20(1) View
  31. Yang L, Huang X, Li J. Discovering Clinical Information Models Online to Promote Interoperability of Electronic Health Records: A Feasibility Study of OpenEHR. Journal of Medical Internet Research 2019;21(5):e13504 View
  32. Nielen M, Spronk I, Davids R, Korevaar J, Poos R, Hoeymans N, Opstelten W, van der Sande M, Biermans M, Schellevis F, Verheij R. Estimating Morbidity Rates Based on Routine Electronic Health Records in Primary Care: Observational Study. JMIR Medical Informatics 2019;7(3):e11929 View
  33. Koo M, Swann R, McPhail S, Abel G, Elliss-Brookes L, Rubin G, Lyratzopoulos G. Presenting symptoms of cancer and stage at diagnosis: evidence from a cross-sectional, population-based study. The Lancet Oncology 2020;21(1):73 View
  34. Jansen T, Hek K, Schellevis F, Kunst A, Verheij R. Socioeconomic inequalities in out-of-hours primary care use: an electronic health records linkage study. European Journal of Public Health 2020 View
  35. Taksler G, Dalton J, Perzynski A, Rothberg M, Milinovich A, Krieger N, Dawson N, Roach M, Einstadter D. Opportunities, Pitfalls, and Alternatives in Adapting Electronic Health Records for Health Services Research. Medical Decision Making 2020:0272989X2095440 View