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Draft:Neil S. Kamdar

Neil S. Kamdar
Occupation(s)Biostatistician, health services researcher and academic
Academic background
Education
  • B.S. Mathematics
  • B.S. Biochemistry
  • M.A. Mathematics Education
Alma materUniversity of Michigan
Academic work
Institutions
  • University of Michigan
  • Stanford University
  • University of North Carolina
  • University of New Mexico

Neil S. Kamdar is a biostatistician, health services researcher, and academic. He serves as an Assistant Director of Analytics at Stanford University[1] and the Statistical Analysis Manager at the University of Michigan (U-M), Institute for Healthcare Policy and Innovation, Data and Methods Hub.[2] He also methodologist at the University of North Carolina and University of New Mexico.[3]

Kamdar's research collaborations focus on clinical and policy applications in disability studies, women's health, general surgery, and mental health analysis, with over 120 co-authored peer-reviewed articles.[4] He employs Medicare, private payer claims, and Medicaid data to understand costs, utilization, and outcomes, contributing to studies on under-served vulnerable populations.[5] His research collaborations have received funding as a co-investigator from several federal and foundation agencies, including the National Institutes of Health, Department of Defense, Agency for Healthcare Research and Quality, and the Neilsen Foundation.[6]

Education

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Kamdar completed his undergraduate studies at U-M earning a B.S. in Biochemistry in 2004 and a B.S. in Mathematics from the Mathematical Sciences Program in 2005. He then pursued a Master of Arts in Mathematics Education with an emphasis in Biostatistics graduating in 2012.[7]

Career

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Kamdar’s career in biostatistics and data analysis spans several key positions. He served as a Senior Application Programmer/Analyst at U-M’s Department of Biostatistics[8] contributing to various research funded by the US Centers for Medicare and Medicaid Services, the US Renal Data System, and the Department of Veterans' Affairs. He then worked as a Statistical Programmer at Massachusetts General Hospital/Harvard Medical School in 2015-2017 and as a Research Biostatistician at Stanford University’s School of Medicine, Department of Surgery, from 2017 to 2019. From 2021 to 2022, he briefly served as an Analytic Consultant at the University of New Mexico's Department of Emergency Medicine.[9] At Stanford School of Medicine, Kamdar serves as Assistant Director of Analytics, focusing on analyses of American Family Cohort primary care electronic health record data to understand diagnostic phenotypes for long COVID patients, post-COVID conditions, and is working on understanding sexually transmitted infections and time-to-treatment with antibiotics using various statistical methods. Since 2017, he has been serving as a Statistical Analysis Manager for the Institute for Healthcare Policy and Innovation (IHPI),[10] where his work has been focused on leveraging large clinical registries to understand clinical outcomes, cost, and utilization for women, people with disabilities, and surgical populations. He has co-authored extensively with collaborators to understand outcomes after hysterectomies, examining congenital and acquired disabilities and morbidity burden and aging with disability, and surgical outcomes including preoperative and postoperative bundles. He collaborates with Obstetrics and Gynecology, Surgery, Emergency Medicine, and Physical Medicine and Rehabilitation at U-M.[11] Furthermore, he has also emphasized the importance of building collaborative relationships between analytic teams and research faculty to foster intellectual partnerships and support team-based science.

At the University of North Carolina’s Sheps Center for Health Services Research, he mentors and advises on using private payer and Medicaid claims data as well as provides insights into developing research projects, including study design, from their inception to publication.[12] Kamdar also occasionally teaches at Eastern Michigan University in both the College of Health Sciences and the Department of Mathematics, focusing primarily on statistics and epidemiology. He has taught population health informatics at the U-M School of Public Health with a focus on understanding data infrastructures and security as well as public health concepts in epidemiology and health economics. He is currently developing a graduate-level course to teach real-world data and longitudinal analysis leveraging secondary administrative data sources at Stanford Medicine.

Research

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Despite being a statistician with a background in mathematics, Kamdar’s collaborations research have mainly spanned across a diverse set of clinical fields such as obstetrics/gynecology, general surgery, pediatrics, disabilities research, Alzheimer's disease and related dementia, and opioid analyses.[5] As a principle collaborator, Kamdar investigated the impact of the April 2014 FDA safety communication on laparoscopic power morcellation during hysterectomy for benign conditions, finding a decline in laparoscopic hysterectomy usage and an increase in major surgical complications.[13] He also estimated the prevalence of surgically confirmed endometriosis in women, identifying that fewer than 25% of those undergoing hysterectomy for chronic pelvic pain had endometriosis at the time of surgery.[14] His exploration of the shift in surgical approaches for hysterectomy among women with commercially based insurance in the United States from 2010 to 2013 found an increase in outpatient procedures.[15] Furthermore, in evaluating anastomotic leaks in colorectal operations, he highlighted that factors such as male sex, obesity, tobacco use, and urgent operations significantly increase the risk.[16] In a systematic review, Kamdar and colleagues found that predictive models using electronic medical record (EMR) data generally outperform those using administrative data for 30-day hospital readmissions, though the improvement is modest.[17] Additionally, a study with colleagues on appendicitis revealed that it was potentially missed in 6.0% of adults and 4.4% of children during initial emergency department visits, with higher risks associated with women, patients with comorbidities, and those presenting with abdominal pain and constipation.[18]

Kamdar’s collaborative manuscript exhibited how hearing aid use among older adults with hearing loss is linked to a delayed diagnosis of Alzheimer's disease, dementia, depression, anxiety, and injurious falls, suggesting a potential protective effect of hearing aids.[19] He further expanded his some of this work by applying methods demonstrating the need for enhanced cognitive screening and early interventions, showing how adults with traumatic spinal cord injury (TSCI) face a significantly higher risk of developing Alzheimer’s disease and related dementia compared to those without TSCI.[20]

In a cohort study underscoring the complexity of pain management in this population, Kamdar’s collaboration with physical medicine and rehabilitation clinical experts found that 89% of adults with cerebral palsy experience pain, with 73.8% having multiple pain diagnoses.[21] He, in collaboration with the American Board of Family Medicine, revealed a moderate burden of post-COVID conditions in primary care settings where the prevalence of these conditions was lower than that reported in subspecialty and hospital settings.[22] His study on preoperative assessment demonstrated that patients with Alzheimer’s disease and related dementias (ADRD) had significantly higher 30-day readmission rates and overall costs after hospitalization compared to those without ADRD.[23] He also helped lead a study that identified opportunities to improve diagnostic accuracy for appendicitis, particularly in higher-risk groups such as patients with abdominal pain and constipation, those with comorbidities, and women, where missed diagnoses were more common.[18]

Selected articles

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  • Harris, J. A., Swenson, C. W., Uppal, S., Kamdar, N., Mahnert, N., As-Sanie, S., & Morgan, D. M. (2016). Practice patterns and postoperative complications before and after US Food and Drug Administration safety communication on power morcellation. American journal of obstetrics and gynecology, 214(1), 98-e1.
  • Mowers, E. L., Lim, C. S., Skinner, B., Mahnert, N., Kamdar, N., Morgan, D. M., & As-Sanie, S. (2016). Prevalence of endometriosis during abdominal or laparoscopic hysterectomy for chronic pelvic pain. Obstetrics & Gynecology, 127(6), 1045-1053.
  • Nikolian, V. C., Kamdar, N. S., Regenbogen, S. E., Morris, A. M., Byrn, J. C., Suwanabol, P. A., ... & Hendren, S. (2017). Anastomotic leak after colorectal resection: a population-based study of risk factors and hospital variation. Surgery, 161(6), 1619-1627.
  • Morgan, D. M., Kamdar, N. S., Swenson, C. W., Kobernik, E. K., Sammarco, A. G., & Nallamothu, B. (2018). Nationwide trends in the utilization of and payments for hysterectomy in the United States among commercially insured women. American journal of obstetrics and gynecology, 218(4), 425-e1.
  • Mahmoudi, E., Kamdar, N., Kim, N., Gonzales, G., Singh, K., & Waljee, A. K. (2020). Use of electronic medical records in development and validation of risk prediction models of hospital readmission. BMJ: British Medical Journal, 369, 1-10.

References

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  1. ^ "Staff". Center for Population Health Sciences. 5 December 2024. Retrieved 30 January 2025.
  2. ^ "Staff". Institute for Healthcare Policy & Innovation. 6 August 2017. Retrieved 30 January 2025.
  3. ^ "Meet our Team". Sheps Center. 19 August 2024. Retrieved 30 January 2025.
  4. ^ "Data Fair Presenters". ICPSR Data Excellence Research Impact. Retrieved 30 January 2025.
  5. ^ a b "Center for Disability Health and Wellness". University of Michigan Medical School. Retrieved 30 January 2025.
  6. ^ "Sheps Data Science Week". Sheps Center. 17 January 2024. Retrieved 30 January 2025.
  7. ^ "Call for papers". Disparities in musculoskeletal care. 17 January 2025. Retrieved 30 January 2025.
  8. ^ "Faculty, Staff and Postdoctoral Fellow Directory". U-M School of Public Health. Retrieved 30 January 2025.
  9. ^ Conner, Benjamin C.; Xu, Tao; Kamdar, Neil S.; Haapala, Heidi; Whitney, Daniel G. (2022). "Physical and occupational therapy utilization and associated factors among adults with cerebral palsy: Longitudinal modelling to capture distinct utilization groups" (PDF). Disability and Health Journal. 15 (3). Elsevier BV: 101279. doi:10.1016/j.dhjo.2022.101279. ISSN 1936-6574. PMC 9308687. PMID 35264292. Retrieved 30 January 2025.
  10. ^ "University of Michigan". University of Michigan. Retrieved 30 January 2025.
  11. ^ "MCommunity". MCommunity. Retrieved 30 January 2025.
  12. ^ "Staff". Sheps Center. 1 October 2024. Retrieved 30 January 2025.
  13. ^ Harris, John A.; Swenson, Carolyn W.; Uppal, Shitanshu; Kamdar, Neil; Mahnert, Nichole; As-Sanie, Sawsan; Morgan, Daniel M. (2016). "Practice patterns and postoperative complications before and after US Food and Drug Administration safety communication on power morcellation". American Journal of Obstetrics and Gynecology. 214 (1). Elsevier BV: 98.e1–98.e13. doi:10.1016/j.ajog.2015.08.047. ISSN 0002-9378. PMID 26314519.
  14. ^ Mowers, Erika L.; Lim, Courtney S.; Skinner, Bethany; Mahnert, Nichole; Kamdar, Neil; Morgan, Daniel M.; As-Sanie, Sawsan (2016). "Prevalence of Endometriosis During Abdominal or Laparoscopic Hysterectomy for Chronic Pelvic Pain". Obstetrics & Gynecology. 127 (6). Ovid Technologies (Wolters Kluwer Health): 1045–1053. doi:10.1097/aog.0000000000001422. ISSN 0029-7844. PMID 27159755.
  15. ^ Morgan, Daniel M.; Kamdar, Neil S.; Swenson, Carolyn W.; Kobernik, Emily K.; Sammarco, Anne G.; Nallamothu, Brahmajee (2018). "Nationwide trends in the utilization of and payments for hysterectomy in the United States among commercially insured women" (PDF). American Journal of Obstetrics and Gynecology. 218 (4). Elsevier BV: 425.e1–425.e18. doi:10.1016/j.ajog.2017.12.218. ISSN 0002-9378. PMC 5931386. PMID 29288067. Retrieved 30 January 2025.
  16. ^ Nikolian, Vahagn C.; Kamdar, Neil S.; Regenbogen, Scott E.; Morris, Arden M.; Byrn, John C.; Suwanabol, Pasithorn A.; Campbell, Darrell A.; Hendren, Samantha (2017). "Anastomotic leak after colorectal resection: A population-based study of risk factors and hospital variation". Surgery. 161 (6). Elsevier BV: 1619–1627. doi:10.1016/j.surg.2016.12.033. ISSN 0039-6060. PMC 5433895. PMID 28238345.
  17. ^ Mahmoudi, Elham; Kamdar, Neil; Kim, Noa; Gonzales, Gabriella; Singh, Karandeep; Waljee, Akbar K (8 April 2020). "Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review" (PDF). BMJ. 369: m958. doi:10.1136/bmj.m958. ISSN 1756-1833. PMC 7249246. PMID 32269037. Retrieved 30 January 2025.
  18. ^ a b Mahajan, Prashant; Basu, Tanima; Pai, Chih-Wen; Singh, Hardeep; Petersen, Nancy; Bellolio, M. Fernanda; Gadepalli, Samir K.; Kamdar, Neil S. (9 March 2020). "Factors Associated With Potentially Missed Diagnosis of Appendicitis in the Emergency Department" (PDF). JAMA Network Open. 3 (3). American Medical Association (AMA): e200612. doi:10.1001/jamanetworkopen.2020.0612. ISSN 2574-3805. PMC 7063499. PMID 32150270. Retrieved 30 January 2025.
  19. ^ Mahmoudi, Elham; Basu, Tanima; Langa, Kenneth; McKee, Michael M.; Zazove, Philip; Alexander, Neil; Kamdar, Neil (2019). "Can Hearing Aids Delay Time to Diagnosis of Dementia, Depression, or Falls in Older Adults?" (PDF). Journal of the American Geriatrics Society. 67 (11): 2362–2369. doi:10.1111/jgs.16109. hdl:2027.42/153191. ISSN 0002-8614. PMID 31486068. Retrieved 30 January 2025.
  20. ^ Mahmoudi, Elham; Lin, Paul; Peterson, Mark D.; Meade, Michelle A.; Tate, Denise G.; Kamdar, Neil (2021). "Traumatic Spinal Cord Injury and Risk of Early and Late Onset Alzheimer's Disease and Related Dementia: Large Longitudinal Study". Archives of Physical Medicine and Rehabilitation. 102 (6). Elsevier BV: 1147–1154. doi:10.1016/j.apmr.2020.12.019. ISSN 0003-9993. PMC 10536758. PMID 33508336.
  21. ^ Peterson, Mark D.; Ashbaugh, Kathryn; O’Leary, Michael; Schmidt, Mary; Haapala, Heidi; Kamdar, Neil; Hurvitz, Edward A. (1 September 2024). "Pain Phenotypes and Pain Multimorbidity Among Medicare Beneficiaries With Cerebral Palsy" (PDF). JAMA Neurology. 81 (9). American Medical Association (AMA): 1004–1005. doi:10.1001/jamaneurol.2024.2443. ISSN 2168-6149. PMC 11385049. PMID 39102256. Retrieved 30 January 2025.
  22. ^ Velásquez, Esther E.; Kamdar, Neil S.; Rehkopf, David H.; Saydah, Sharon; Bull-Otterson, Lara; Hao, Shiying; Vala, Ayin; Chu, Isabella; Bazemore, Andrew W.; Phillips, Robert L.; Boehmer, Tegan (2024). "Post-COVID Conditions in US Primary Care: A PRIME Registry Comparison of Patients With COVID-19, Influenza-Like Illness, and Wellness Visits". The Annals of Family Medicine. 22 (4). Annals of Family Medicine: 279–287. doi:10.1370/afm.3131. ISSN 1544-1709. PMC 11268691. PMID 39038980.
  23. ^ Kamdar, Neil; Syrjamaki, John; Aikens, James E.; Mahmoudi, Elham (16 March 2023). "Readmission Rates and Episode Costs for Alzheimer Disease and Related Dementias Across Hospitals in a Statewide Collaborative" (PDF). JAMA Network Open. 6 (3). American Medical Association (AMA): e232109. doi:10.1001/jamanetworkopen.2023.2109. ISSN 2574-3805. PMC 10020873. PMID 36929401. Retrieved 30 January 2025.
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