David A. Ganz

About

David A. Ganz is a Professor-in-Residence in the Department of Medicine at UCLA. His research focuses on various aspects of healthcare, including fall injury prevention in older adults, care coordination across healthcare systems, and the use of electronic health record data for clinical trials. He has contributed to the development and evaluation of interventions aimed at improving patient safety, especially among vulnerable populations such as the elderly and veterans. Ganz's work involves epidemiology, health services research, and the implementation of clinical practices to enhance care quality and safety. His publications reflect a strong emphasis on fall prevention, healthcare utilization, and the integration of innovative data analysis methods to inform clinical decision-making and policy. He is actively involved in advancing strategies to reduce fall injuries, improve care delivery, and optimize health outcomes for high-need patient groups.

Research topics

• Medicine
• Physical therapy
• Emergency medicine
• Gerontology
• Internal medicine
• Computer Security
• Nursing
• Psychiatry
• Surgery
• Intensive care medicine

Selected publications

• Prevention of Falls in Community-Dwelling Older Adults

  New England Journal of Medicine · 2020 · 391 citations

  1st authorCorresponding

  Patients should be asked annually about falls in the past year to identify those at high risk for future falls. The risk of falling can be reduced by exercise programs focused on balance and strength training and, among persons at high risk, by assessing a standard set of risk factors for falls and addressing modifiable ones.

  DOI

• Effect of a Coordinated Community and Chronic Care Model Team Intervention vs Usual Care on Systolic Blood Pressure in Patients With Stroke or Transient Ischemic Attack

  JAMA Network Open · 2021 · 87 citations

  Importance: Few stroke survivors meet recommended cardiovascular goals, particularly among racial/ethnic minority populations, such as Black or Hispanic individuals, or socioeconomically disadvantaged populations. Objective: To determine if a chronic care model-based, community health worker (CHW), advanced practice clinician (APC; including nurse practitioners or physician assistants), and physician team intervention improves risk factor control after stroke in a safety-net setting (ie, health…

  PublisherOA PDFDOI

• Care coordination across healthcare systems: development of a research agenda, implications for practice, and recommendations for policy based on a modified Delphi panel

  BMJ Open · 2023-05-01 · 26 citations

  articleOpen access

  OBJECTIVE: For large, integrated healthcare delivery systems, coordinating patient care across delivery systems with providers external to the system presents challenges. We explored the domains and requirements for care coordination by professionals across healthcare systems and developed an agenda for research, practice and policy. DESIGN: The modified Delphi approach convened a 2-day stakeholder panel with moderated virtual discussions, preceded and followed by online surveys. SETTING: The wo…

  PublisherOA PDFDOI

• Effect of a Multifactorial Fall Injury Prevention Intervention on Patient Well‐Being: The <scp>STRIDE</scp> Study

  Journal of the American Geriatrics Society · 2020 · 24 citations

  BACKGROUND/OBJECTIVES In the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) study, a multifactorial intervention was associated with a nonsignificant 8% reduction in time to first serious fall injury but a significant 10% reduction in time to first self‐reported fall injury relative to enhanced usual care. The effect of the intervention on other outcomes important to patients has not yet been reported. We aimed to evaluate the effect of the intervention on patient well‐b…

  DOI

• Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data

  The Journals of Gerontology Series A · 2024-04-03 · 9 citations

  articleOpen access1st authorCorresponding

  BACKGROUND: Diagnosis-code-based algorithms to identify fall injuries in Medicare data are useful for ascertaining outcomes in interventional and observational studies. However, these algorithms have not been validated against a fully external reference standard, in ICD-10-CM, or in Medicare Advantage (MA) data. METHODS: We linked self-reported fall injuries leading to medical attention (FIMA) from the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial (reference stand…

  PublisherOA PDFDOI

Recent grants

• Enhancing the Efficiency of Pragmatic Clinical Trials Using Administrative Data: Analysis of the STRIDE Study

  NIH · $2.0M · 2022–2027

Frequent coauthors

• Debra Saliba

  RAND Corporation

  147 shared

• Susan E. Stockdale

  Center for the Study of Healthcare Provider Behavior

  134 shared

• Danielle E. Rose

  VA Greater Los Angeles Healthcare System

  119 shared

• Neil S. Wenger

  117 shared

• Elizabeth M. Yano

  UCLA Health

  112 shared

• Brian S. Mittman

  Kaiser Permanente

  93 shared

• Martin L. Lee

  Texas Tech University

  93 shared

• Lisa V. Rubenstein

  RAND Corporation

  91 shared

Education

• M.D.

  University of California, Los Angeles

• B.A.

  University of California, Los Angeles

Similar researchers at University of California, Los Angeles

• Sally A. Frautschyh-91
• David B. Reubenh-90
• Gregory Coleh-87