Neil Kamdar
Assistant Director of Analytics, Center for Population Health Sciences
Biostatistician 3, Center for Population Health Sciences
Bio
I am a health services researcher and applied methodologist focused on clinical and policy applications in disabilities research, women's health, general surgery, and mental health analyses. My focus has been on leveraging Medicare, private payer claims (Health Care Cost Institute (HCCI), MarketScan, OptumInsight, etc.) and Medicaid to understand cost, utilization, and outcomes. This work has been foundational in the development of large-scale studies on vulnerable populations that have typically been under-served or insufficiently studies in the health services research domain.
I serve as the Assistant Director of Analytics at the Center for Population Health Sciences at Stanford, focused on the development of the American Family Cohort (AFC) data, a primary care registry that provides substantial insights into clinical outcomes, utilization, and a particular focus on COVID-19 and Long COVID outcome analyses. Ancillary work would involve the development of research collaborations throughout Stanford Medicine with the interest in creating scholarship across the many domains of the Center for Population Health Sciences.
In addition to this role at Stanford, I also maintain an appointment at the University of Michigan, Institute for Healthcare Policy and Innovation, where I serve as an analytic lead in the development of administrative claims and electronic medical records analyses leading to publications in general and subject-specific journals.
I have been successful in being funded as a co-investigator with several federal and foundation agencies, including the National Institutes of Health (NIH), Department of Defense (DOD), Agency for Healthcare Research and Quality (AHRQ), Neilsen Foundation focused on traumatic spinal cord injury, among many others. I have also provided foundational analyses in the development of Clinical Quality Initiatives (CQIs), which are state-wide initiatives aimed at improving the health and efficiency of hospitals and institutions, with a focus on maternal and fetal medicine in the State of Michigan.
Contact
https://orcid.org/0000-0002-1898-1594All Publications
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Medication and Therapy Profiles for Pain and Symptom Management Among Adults With Cerebral Palsy.
Mayo Clinic proceedings. Innovations, quality & outcomes
2025; 9 (2): 100597
Abstract
Objective: To examine the most common patterns of pain and symptom management strategies among adults living with cerebral palsy (CP), and to determine if there are differences by pain phenotype or co-occurring neurodevelopmental disorders.Patients and Methods: Federally insured beneficiaries were included if they had an ICD-9-CM/ICD-10-CM diagnosis code for CP (N=41,595). The study took place from January 10, 2024, to December 15, 2024. Medication and therapy prescription estimates for pain and CP symptom management were examined for the entire cohort, and between individuals with and without neurodevelopmental disorders and across pain phenotypes.Results: The most common pharmaceutical/nontherapy-based pain and symptom management interventions included high frequency prescriptions for antiepileptics (58%), antidepressants (49%), benzodiazepines (43%), nonsteroidal anti-inflammatories (43%), nonperioperative opioids (42%), antipsychotics (33%), muscle relaxants (31%), irritable bowel syndrome-specific drugs (20%), clonidine (12%), anticholinergics (11%), and botulinum toxin A injections (6%). Physical and occupational therapy were prescribed for 41% of the study cohort. Significant differences in treatment patterns were found for individuals with co-occurring neurodevelopmental disorders, and across pain phenotypes. Notably, for individuals with a mixed pain phenotype, nearly 80% were prescribed nonperioperative opioids.Conclusion: Adults with CP have a high prescription prevalence of nonperioperative opioids and common nonopioid pain and symptom management.
View details for DOI 10.1016/j.mayocpiqo.2025.100597
View details for PubMedID 40061300
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Trends in End-of-Life Care and Satisfaction Among Veterans Undergoing Surgery.
Annals of surgery
2025; 281 (4): 682-688
Abstract
To examine trends in end-of-life care services and satisfaction among veterans undergoing any inpatient surgery.The Veterans Health Administration has undergone system-wide transformations to improve end-of-life care yet the impacts on end-of-life care services use and family satisfaction are unknown.We performed a retrospective, cross-sectional analysis of veterans who died within 90 days of undergoing inpatient surgery between January 2010 and December 2019. Using the Veterans Affairs (VA) Bereaved Family Survey (BFS), we calculated the rates of palliative care and hospice use and examined satisfaction with end-of-life care. After risk and reliability adjustment for each VA hospital, we then performed a multivariable linear regression model to identify factors associated with the greatest change.Our cohort consisted of 155,250 patients with a mean age of 73.6 years (SD: 11.6). Over the study period, rates of palliative care consultation and hospice use increased more than two-fold (28.1%-61.1% and 18.9%-46.9%, respectively) while the rate of BFS excellent overall care score increased from 56.1% to 64.7%. There was wide variation between hospitals in the absolute change in rates of palliative care consultation, hospice use, and BFS excellent overall care scores. Rural location and Accreditation Council for Graduate Medical Education accreditation were hospital-level factors associated with the greatest changes.Among veterans undergoing inpatient surgery, improvements in satisfaction with end-of-life care paralleled increases in end-of-life care service use. Future work is needed to identify actionable hospital-level characteristics that may reduce heterogeneity between VA hospitals and facilitate targeted interventions to improve end-of-life care.
View details for DOI 10.1097/SLA.0000000000006253
View details for PubMedID 38390769
View details for PubMedCentralID PMC11341773
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Epidemiology of urinary tract infection among community-living seniors aged 50 plus: population estimates and risk factors.
Annals of epidemiology
2025
Abstract
Urinary tract infection (UTI) is common in all ages but risk factors among adults 50 and older are not well studied. One unexplored potential risk factor is constipation, a known UTI risk factor among children.A web interview was administered October 12-16, 2023 to 1074 U.S. adults aged 50 and older participating in a probability-based panel representative of the U.S. household population age 50 or older. The primary study outcome was self-reported healthcare provider diagnosed and treated UTI in the previous 12 months. All results were weighted to represent the U.S. household population.The 12-month UTI incidence was 19.8% among women and 6.4% among men. 32% of the population reported being constipated sometimes, frequently or always. After adjusting for age, gender, having a body mass index >30 and an overnight hospital stay in the previous 12 months, those reporting sometimes being constipated were 3.69 times, and those often or always constipated were 5.48 times more likely than those never constipated to have a UTI in the previous 12 months.This is the first report of an association between UTI and constipation among older adults. Reducing constipation might reduce UTI incidence among older women and men.
View details for DOI 10.1016/j.annepidem.2025.02.010
View details for PubMedID 40024385