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James X. Zhang

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James X. Zhang is an American health economist and health services researcher at the University of Chicago known for his innovative approaches in exploring complex data to measure a range of factors influencing healthcare delivery and outcomes.

Zhang initially worked with Nicholas Christakis, and the products included a novel methodology for identifying married couples in the Medicare claims to study mortality, morbidity, and health care use among the married elderly,[1] and a novel claims-based dataset exploiting substantial cross-set linkages to study end-of-life care.[2]

Zhang's research addressed the significance of comorbidity in clinical setting, and was among the most frequently cited papers in the field.[3] His contribution also included that to some other influential study[4] in the field of Medicare Part D program, and generic drug use.[5][6][7] His more recent contributions with David O. Meltzer includes a novel method identifying patient with cost-related medication non-adherence using a big-data approach.[8] His most recent contribution aims to advance the understanding of gender role in healthcare behaviors and outcomes.[9][10]

References

  1. ^ Iwashyna TJ, Zhang JX, Lauderdale DS, Christakis NA. A methodology for identifying married couples in Medicare data: mortality, morbidity, and health care use among the married elderly. Demography 1998; 35 (4): 413-419. JSTOR 3004010
  2. ^ Christakis NA, Iwashyna TJ, Zhang JX. Care after the onset of serious illness: a novel claims-based dataset exploiting substantial cross-set linkages to study end-of-life care. J Palliat Med. 2002 Aug;5(4):515-29.
  3. ^ Zhang, JX, Iwashyna TJ, Christakis NA. The Performance of Different Lookback Periods and Sources of Information for Charlson Comorbidity Adjustment in Medicare Claims. Medical Care 1999; 37(11):1128-1139 JSTOR 3767066
  4. ^ http://www-news.uchicago.edu/releases/08/080108.medicare.shtml
  5. ^ https://abcnews.go.com/Health/top-selling-drugs-coming-off-patent-paving-cheaper/story?id=13048629
  6. ^ Yin W, Basu A, Zhang JX, Rabbani A, Meltzer DO, Alexander GC. The effect of the Medicare Part D prescription benefit on drug utilization and expenditures. Annals of Internal Medicine 2008; 148 (3): 169-177.
  7. ^ Zhang JX, Yin W, Shawn S, Alexander GC. The impact of the Medicare Part D prescription benefit on generic drugs use. Journal of General Internal Medicine 2008;23(10):1673-1678.
  8. ^ Zhang JX, Meltzer DO. Identifying patients with cost-related medication non-adherence: a big-data approach. J Med Econ. 2016 Apr 15:1-6.
  9. ^ Gender and Cost-related Medication Non-adherence. Cancer Therapy Advisor. http://www.cancertherapyadvisor.com/general-oncology/gender-cost-related-medication-non-adherence/article/628116/
  10. ^ Zhang JX, Crowe JM, Meltzer DO. The differential rates in cost-related non-adherence to medical care by gender in the U.S. adult population. J Med Econ. 2017 May 3:1-17. doi: 10.1080/13696998.2017.1326383. [Epub ahead of print] PubMed PMID 28466689


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