Harvard Catalyst Profiles

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Niteesh K Choudhry, Ph.D., M.D.

Co-Author

This page shows the publications co-authored by Niteesh Choudhry and Jessica Franklin.
Connection Strength

9.332
  1. Franklin JM, Mahesri M, Krumme AA, Barberio J, Fischer MA, Brill G, McKay C, Black H, Choudhry NK. Time to Filling of New Prescriptions for Chronic Disease Medications Among a Cohort of Elderly Patients in the USA. J Gen Intern Med. 2018 11; 33(11):1877-1884.
    View in: PubMed
    Score: 0.842
  2. Franklin JM, Gopalakrishnan C, Krumme AA, Singh K, Rogers JR, Kimura J, McKay C, McElwee NE, Choudhry NK. The relative benefits of claims and electronic health record data for predicting medication adherence trajectory. Am Heart J. 2018 03; 197:153-162.
    View in: PubMed
    Score: 0.805
  3. Choudhry NK, Krumme AA, Ercole PM, Girdish C, Tong AY, Khan NF, Brennan TA, Matlin OS, Shrank WH, Franklin JM. Effect of Reminder Devices on Medication Adherence: The REMIND Randomized Clinical Trial. JAMA Intern Med. 2017 05 01; 177(5):624-631.
    View in: PubMed
    Score: 0.773
  4. Franklin JM, Krumme AA, Shrank WH, Matlin OS, Brennan TA, Choudhry NK. Predicting adherence trajectory using initial patterns of medication filling. Am J Manag Care. 2015 Sep 01; 21(9):e537-44.
    View in: PubMed
    Score: 0.689
  5. Choudhry NK, Krumme AA, Ercole PM, Girdish C, Isaman DL, Matlin OS, Brennan TA, Shrank WH, Franklin JM. Rationale and design of the Randomized Evaluation to Measure Improvements in Non-adherence from Low-Cost Devices (REMIND) trial. Contemp Clin Trials. 2015 Jul; 43:53-9.
    View in: PubMed
    Score: 0.674
  6. Franklin JM, Krumme AA, Tong AY, Shrank WH, Matlin OS, Brennan TA, Choudhry NK. Association between trajectories of statin adherence and subsequent cardiovascular events. Pharmacoepidemiol Drug Saf. 2015 Oct; 24(10):1105-13.
    View in: PubMed
    Score: 0.672
  7. Franklin JM, Shrank WH, Lii J, Krumme AK, Matlin OS, Brennan TA, Choudhry NK. Observing versus Predicting: Initial Patterns of Filling Predict Long-Term Adherence More Accurately Than High-Dimensional Modeling Techniques. Health Serv Res. 2016 Feb; 51(1):220-39.
    View in: PubMed
    Score: 0.671
  8. Choudhry NK, Bykov K, Shrank WH, Toscano M, Rawlins WS, Reisman L, Brennan TA, Franklin JM. Eliminating medication copayments reduces disparities in cardiovascular care. Health Aff (Millwood). 2014 May; 33(5):863-70.
    View in: PubMed
    Score: 0.628
  9. Franklin JM, Shrank WH, Pakes J, Sanfélix-Gimeno G, Matlin OS, Brennan TA, Choudhry NK. Group-based trajectory models: a new approach to classifying and predicting long-term medication adherence. Med Care. 2013 Sep; 51(9):789-96.
    View in: PubMed
    Score: 0.600
  10. Singh K, Choudhry NK, Krumme AA, McKay C, McElwee NE, Kimura J, Franklin JM. A concept-wide association study to identify potential risk factors for nonadherence among prevalent users of antihypertensives. Pharmacoepidemiol Drug Saf. 2019 10; 28(10):1299-1308.
    View in: PubMed
    Score: 0.225
  11. Lewey J, Gagne JJ, Franklin J, Lauffenburger JC, Brill G, Choudhry NK. Impact of High Deductible Health Plans on Cardiovascular Medication Adherence and Health Disparities. Circ Cardiovasc Qual Outcomes. 2018 11; 11(11):e004632.
    View in: PubMed
    Score: 0.214
  12. Lauffenburger JC, Franklin JM, Krumme AA, Shrank WH, Matlin OS, Spettell CM, Brill G, Choudhry NK. Predicting Adherence to Chronic Disease Medications in Patients with Long-term Initial Medication Fills Using Indicators of Clinical Events and Health Behaviors. J Manag Care Spec Pharm. 2018 May; 24(5):469-477.
    View in: PubMed
    Score: 0.207
  13. Lauffenburger JC, Franklin JM, Choudhry NK. Patient-Centered Medical Homes and Adherence to Chronic Disease Medications. Ann Intern Med. 2017 05 16; 166(10):761-762.
    View in: PubMed
    Score: 0.194
  14. Krumme AA, Franklin JM, Isaman DL, Matlin OS, Tong AY, Spettell CM, Brennan TA, Shrank WH, Choudhry NK. Predicting 1-Year Statin Adherence Among Prevalent Users: A Retrospective Cohort Study. J Manag Care Spec Pharm. 2017 Apr; 23(4):494-502.
    View in: PubMed
    Score: 0.192
  15. Lauffenburger JC, Franklin JM, Krumme AA, Shrank WH, Brennan TA, Matlin OS, Spettell CM, Brill G, Choudhry NK. Longitudinal Patterns of Spending Enhance the Ability to Predict Costly Patients: A Novel Approach to Identify Patients for Cost Containment. Med Care. 2017 Jan; 55(1):64-73.
    View in: PubMed
    Score: 0.189
  16. Lauffenburger JC, Shrank WH, Bitton A, Franklin JM, Glynn RJ, Krumme AA, Matlin OS, Pezalla EJ, Spettell CM, Brill G, Choudhry NK. Association Between Patient-Centered Medical Homes and Adherence to Chronic Disease Medications: A Cohort Study. Ann Intern Med. 2017 Jan 17; 166(2):81-88.
    View in: PubMed
    Score: 0.187
  17. Krumme AA, Sanfélix-Gimeno G, Franklin JM, Isaman DL, Mahesri M, Matlin OS, Shrank WH, Brennan TA, Brill G, Choudhry NK. Can purchasing information be used to predict adherence to cardiovascular medications? An analysis of linked retail pharmacy and insurance claims data. BMJ Open. 2016 11 09; 6(11):e011015.
    View in: PubMed
    Score: 0.187
  18. Bykov K, Franklin JM, Choudhry NK. Response to the Comment on Evaluating Cardiovascular Health Disparities Using Estimated Race/Ethnicity: A Validation Study. Med Care. 2016 10; 54(10):965-6.
    View in: PubMed
    Score: 0.186
  19. Bateman BT, Franklin JM, Bykov K, Avorn J, Shrank WH, Brennan TA, Landon JE, Rathmell JP, Huybrechts KF, Fischer MA, Choudhry NK. Persistent opioid use following cesarean delivery: patterns and predictors among opioid-naïve women. Am J Obstet Gynecol. 2016 09; 215(3):353.e1-353.e18.
    View in: PubMed
    Score: 0.179
  20. Bykov K, Franklin JM, Toscano M, Rawlins W, Spettell CM, McMahill-Walraven CN, Shrank WH, Choudhry NK. Evaluating Cardiovascular Health Disparities Using Estimated Race/Ethnicity: A Validation Study. Med Care. 2015 Dec; 53(12):1050-7.
    View in: PubMed
    Score: 0.175
  21. Gagne JJ, Polinski JM, Rassen JA, Fischer MA, Seeger JD, Franklin JM, Liu J, Schneeweiss S, Choudhry NK. Selective Serotonin Reuptake Inhibitor Use and Perioperative Bleeding and Mortality in Patients Undergoing Coronary Artery Bypass Grafting: A Cohort Study. Drug Saf. 2015 Nov; 38(11):1075-82.
    View in: PubMed
    Score: 0.174
  22. Sanfélix-Gimeno G, Franklin JM, Shrank WH, Carlo M, Tong AY, Reisman L, Matlin OS, Brennan TA, Choudhry NK. Did HEDIS get it right? Evaluating the quality of a quality measure: adherence to ß-blockers and cardiovascular outcomes after myocardial infarction. Med Care. 2014 Jul; 52(7):669-76.
    View in: PubMed
    Score: 0.159
  23. Franklin JM, Choudhry NK, Uscher-Pines L, Brill G, Matlin OS, Fischer MA, Schneeweiss S, Avorn J, Brennan TA, Shrank WH. Equity in the receipt of oseltamivir in the United States during the H1N1 pandemic. Am J Public Health. 2014 Jun; 104(6):1052-8.
    View in: PubMed
    Score: 0.157
  24. Bateman BT, Rassen JA, Schneeweiss S, Bykov K, Franklin JM, Gagne JJ, Polinski JM, Liu J, Kulik A, Fischer MA, Choudhry NK. Adjuvant vancomycin for antibiotic prophylaxis and risk of Clostridium difficile infection after coronary artery bypass graft surgery. J Thorac Cardiovasc Surg. 2013 Aug; 146(2):472-8.
    View in: PubMed
    Score: 0.145
  25. Kulik A, Rassen JA, Myers J, Schneeweiss S, Gagne J, Polinski JM, Liu J, Fischer MA, Choudhry NK. Comparative effectiveness of preventative therapy for venous thromboembolism after coronary artery bypass graft surgery. Circ Cardiovasc Interv. 2012 Aug 01; 5(4):590-6.
    View in: PubMed
    Score: 0.138
  26. Bateman BT, Bykov K, Choudhry NK, Schneeweiss S, Gagne JJ, Polinski JM, Franklin JM, Doherty M, Fischer MA, Rassen JA. Type of stress ulcer prophylaxis and risk of nosocomial pneumonia in cardiac surgical patients: cohort study. BMJ. 2013 Sep 19; 347:f5416.
    View in: PubMed
    Score: 0.038
  27. Shrank WH, Choudhry NK, Tong A, Myers J, Fischer MA, Swanton K, Slezak J, Brennan TA, Liberman JN, Moffit S, Avorn J, Carpenter D. Warnings without guidance: patient responses to an FDA warning about ezetimibe. Med Care. 2012 Jun; 50(6):479-84.
    View in: PubMed
    Score: 0.034
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.