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Citing this Article

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Published on 15.06.17 in Vol 5, No 2 (2017): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "Applying STOPP Guidelines in Primary Care Through Electronic Medical Record Decision Support: Randomized Control Trial Highlighting the Importance of Data Quality"

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.6226):

(note that this is only a small subset of citations)

  1. Rogero-Blanco E, Lopez-Rodriguez JA, Sanz-Cuesta T, Aza-Pascual-Salcedo M, Bujalance-Zafra MJ, Cura-Gonzalez I. Use of an Electronic Clinical Decision Support System in Primary Care to Assess Inappropriate Polypharmacy in Young Seniors With Multimorbidity: Observational, Descriptive, Cross-Sectional Study. JMIR Medical Informatics 2020;8(3):e14130
    CrossRef
  2. Bloomfield HE, Greer N, Linsky AM, Bolduc J, Naidl T, Vardeny O, MacDonald R, McKenzie L, Wilt TJ. Deprescribing for Community-Dwelling Older Adults: a Systematic Review and Meta-analysis. Journal of General Internal Medicine 2020;35(11):3323
    CrossRef
  3. Zhang Y, Koru G. Understanding and detecting defects in healthcare administration data: Toward higher data quality to better support healthcare operations and decisions. Journal of the American Medical Informatics Association 2020;27(3):386
    CrossRef
  4. Mangin D, Lawson J, Adamczyk K, Guenter D. Embedding “Smart” Disease Coding Within Routine Electronic Medical Record Workflow: Prospective Single-Arm Trial. JMIR Medical Informatics 2020;8(7):e16764
    CrossRef
  5. Monteiro L, Maricoto T, Solha I, Ribeiro-Vaz I, Martins C, Monteiro-Soares M. Reducing Potentially Inappropriate Prescriptions for Older Patients Using Computerized Decision Support Tools: Systematic Review. Journal of Medical Internet Research 2019;21(11):e15385
    CrossRef
  6. Scott IA, Pillans PI, Barras M, Morris C. Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review. Therapeutic Advances in Drug Safety 2018;9(9):559
    CrossRef
  7. Doocy S, Paik KE, Lyles E, Hei Tam H, Fahed Z, Winkler E, Kontunen K, Mkanna A, Burnham G. Guidelines and mHealth to Improve Quality of Hypertension and Type 2 Diabetes Care for Vulnerable Populations in Lebanon: Longitudinal Cohort Study. JMIR mHealth and uHealth 2017;5(10):e158
    CrossRef
  8. Earl TR, Katapodis ND, Schneiderman SR, Shoemaker-Hunt SJ. Using Deprescribing Practices and the Screening Tool of Older Persons’ Potentially Inappropriate Prescriptions Criteria to Reduce Harm and Preventable Adverse Drug Events in Older Adults. Journal of Patient Safety 2020;16(3):S23
    CrossRef
  9. Meid AD, Groll A, Heider D, Mächler S, Adler J, Günster C, König H, Haefeli WE. Prediction of Drug-Related Risks Using Clinical Context Information in Longitudinal Claims Data. Value in Health 2018;21(12):1390
    CrossRef
  10. Anfinogenova ND, Trubacheva IA, Popov SV, Efimova EV, Ussov WY. Trends and concerns of potentially inappropriate medication use in patients with cardiovascular diseases. Expert Opinion on Drug Safety 2021;20(10):1191
    CrossRef
  11. Shojania KG, Jennings A, Ramsay CR, Grimshaw JM, Kwan JL, Lo L. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database of Systematic Reviews 2009;2021(6)
    CrossRef
  12. Hill JR, Russ-Jara AL, Campbell NL, Holden RJ. The Case for Human-Centered Research on the Complex Patient Journey of Deprescribing. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2021;10(1):276
    CrossRef
  13. Santoro SL, Bartman T, Cua CL, Lemle S, Skotko BG. Use of Electronic Health Record Integration for Down Syndrome Guidelines. Pediatrics 2018;142(3)
    CrossRef
  14. Gangannagaripalli J, Porter I, Davey A, Ricci Cabello I, Greenhalgh J, Anderson R, Briscoe S, Hughes C, Payne R, Cockcroft E, Harris J, Bramwell C, Valderas JM. STOPP/START interventions to improve medicines management for people aged 65 years and over: a realist synthesis. Health Services and Delivery Research 2021;9(23):1
    CrossRef
  15. Beck A, Persaud N, Tessier LA, Grad R, Kidd MR, Klarenbach S, Korownyk C, Moore A, Thombs BD, Mangin D, McCracken RK, McDonald EG, Sirois C, Kanji S, Molnar F, Nicholls SG, Thavorn K, Bennett A, Shaver N, Skidmore B, Mitchelmore BR, Avey M, Rolland-Harris E, Little J, Moher D. Interventions to address potentially inappropriate prescriptions and over-the-counter medication use among adults 65 years and older in primary care settings: protocol for a systematic review. Systematic Reviews 2022;11(1)
    CrossRef
  16. Fletcher E, Burns A, Wiering B, Lavu D, Shephard E, Hamilton W, Campbell JL, Abel G. Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review. BMC Primary Care 2023;24(1)
    CrossRef
  17. Atmaja DS, Yulistiani , Suharjono , Zairina E. Detection tools for prediction and identification of adverse drug reactions in older patients: a systematic review and meta-analysis. Scientific Reports 2022;12(1)
    CrossRef
  18. Rodrigues DA, Plácido AI, Mateos-Campos R, Figueiras A, Herdeiro MT, Roque F. Effectiveness of Interventions to Reduce Potentially Inappropriate Medication in Older Patients: A Systematic Review. Frontiers in Pharmacology 2022;12
    CrossRef
  19. Fernainy P, Cohen AA, Murray E, Losina E, Lamontagne F, Sourial N. Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion. BMC Proceedings 2024;18(S2)
    CrossRef