Faculty

Diana Buist

Affiliate Professor, Epidemiology


dsmbuist@gmail.com

Education

PhD Epidemiology, University of Washington, 1999
MPH Epidemiology, Yale University, 1995

Contact


dsmbuist@gmail.com

Seattle, WA

Bio

Diana Buist, PhD, MPH, is an epidemiologist and health services researcher with extensive experience conducting comparative effectiveness research. Her work focuses on reducing harms and increasing benefits for patients in the area of cancer screening and outcomes spanning across patient, provider, and system factors.

Dr. Buist has an extensive record of practical research that has led to many efforts to improve care, including the development and refinement of national breast cancer screening guidelines. She has been conducting research within Kaiser Permanente Washington for more than 20 years and is a strong believer in patient-centered care and the important role patients play in improving the value and quality of health care.

Research Interests

  • Comparative effectiveness research
  • Delivery system science
  • Learning health care system research
  • Dissemination and implementation
  • Pragmatic clinical trials
  • Epidemiology
  • Health services

Recent Publications (PubMed)

Risk of second primary cancer among women in the Kaiser Permanente Breast Cancer Survivors Cohort.
(2023 May 3)
Breast Cancer Res 25(1): 50
Ramin C, Veiga LHS, Vo JB, Curtis RE, Bodelon C, Aiello Bowles EJ, Buist DSM, Weinmann S, Feigelson HS, Gierach GL, Berrington de Gonzalez A

Economic Evaluation of Mailed Home-Based Human Papillomavirus Self-sampling Kits for Cervical Cancer Screening.
(2023 Mar 1)
JAMA Netw Open 6(3): e234052
Meenan RT, Troja C, Buist DSM, Tiro JA, Lin J, Anderson ML, Gao H, Green BB, Winer RL

Variation in second breast cancer risk after primary invasive cancer by time since primary cancer diagnosis and estrogen receptor status.
(2023 Apr 15)
Cancer 129(8): 1173-1182
Lowry KP, Ichikawa L, Hubbard RA, Buist DSM, Bowles EJA, Henderson LM, Kerlikowske K, Specht JM, Sprague BL, Wernli KJ, Lee JM

Performance of Statistical and Machine Learning Risk Prediction Models for Surveillance Benefits and Failures in Breast Cancer Survivors.
(2023 Apr 3)
Cancer Epidemiol Biomarkers Prev 32(4): 561-571
Su YR, Buist DSM, Lee JM, Ichikawa L, Miglioretti DL, Bowles EJA, Wernli KJ, Kerlikowske K, Tosteson A, Lowry KP, Henderson LM, Sprague BL, Hubbard RA

Effect of Patient Characteristics on Uptake of Screening Using a Mailed Human Papillomavirus Self-sampling Kit: A Secondary Analysis of a Randomized Clinical Trial.
(2022 Nov 1)
JAMA Netw Open 5(11): e2244343
Winer RL, Lin J, Tiro JA, Miglioretti DL, Beatty T, Gao H, Kimbel K, Thayer C, Buist DSM

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