Rachel H. Adler
· Member of the Graduate Faculty Professor, Nursing (Tenured) Professor, Psychiatry (Non-Tenure Eligible)University of Arizona · Division of Nursing & Health Sciences
Active 1963–2026
About
Dr. Rachel H. Adler is a seasoned anthropologist and a psychiatric nurse practitioner with extensive experience conducting qualitative and mixed-methods research with vulnerable populations. Her book, Yucatecans in Dallas, Texas: Breaching the Border, Bridging the Distance, is based on over two years of intensive, binational, ethnographic research with a community of Mexican migrants in Texas. In her more current work, she merges her social science expertise in culture, ethnicity, and gender with her extensive clinical knowledge of psychiatry and psycho-oncology. This combination of skills makes her uniquely prepared to conduct culturally relevant interventional research with cancer survivors in the University of Arizona Cancer Center's predominantly Hispanic catchment area. Rachel Adler became a nurse during her first sabbatical to broaden her skill set in medical anthropology and to become a more effective researcher with real-world impact. For more than a decade, she has integrated her nursing practice with her anthropological scholarship to advance translational science, serving as the site PI and co-investigator on several federal grants, contributing to the literature on psychosocial oncology, psychiatry, men's mental health, research methods, and veterans' health.
Research topics
- Computer Science
- Meteorology
- Geology
- Environmental science
- Remote sensing
- Climatology
- Geography
Selected publications
Journal of the American Academy of Dermatology · 2026-04-01
article1st authorCorrespondingJournal of the American Academy of Dermatology · 2026-04-01
article1st authorCorrespondingJournal of the American Academy of Dermatology · 2026-04-01
article1st authorCorrespondingJournal of the American Academy of Dermatology · 2026-04-01
article1st authorCorrespondingBulletin of the American Meteorological Society · 2025-08-01 · 2 citations
articleOpen accessInternational audience
225 Pharmacovigilance of Tapinarof Adverse Effects Utilizing the FAERS Database
Journal of Investigative Dermatology · 2025-11-01
articleOpen access1st authorCorrespondingContinence · 2025-05-13 · 1 citations
articleOpen access1st authorCorrespondingLower urinary tract symptoms (LUTS) are a diverse group of urologic conditions characterized by dysfunction in storage, voiding, and post-micturition control. Previous studies estimate that medications account for 10% of LUTS in men. Pharmacovigilance studies, such as those using the Food and Drug Administration (FDA) Adverse Events Reporting System (FAERS), aid physicians in identifying adverse reactions and potential mechanisms to improve clinical practice. Our study sought to identify drugs that are potentially associated with LUTS and investigate the relationship between a variety of commonly prescribed medications and various LUTS. The FAERS Database was queried for a list of 17 Reaction Terms. Proportion of drug reactions to total and proportional reporting ratios were calculated for each drug. FDALabel was used to determine whether any LUTS were within the side effect profile of a drug. LUTS accounted for .8% of total adverse reactions. Mirabegron (14.39) had the highest proportion of LUTS events compared to all adverse events, followed by Tolterodine Tartrate (10.95) Fesoterodine Fumarate (7.20), Tamsulosin Hydrochloride (7.07), and Warfarin Sodium (6.46). Other classes such as immunotherapeutics, proton pump inhibitors, and various psychiatric medications reported LUTS that were not within the FDALabel. Medications causing LUTS encompass a wide variety of classes. We discovered several medications for which FDA labels were inconsistent with reporting of adverse events. Physicians should be aware of potential medications that have not been previously reported to cause LUTS or do not contain specific LUTS within their FDA label.
Dermatological impacts of urological cancer treatments
World Journal of Urology · 2025-08-31
reviewThe latest GPCP Daily and Monthly Products: Current Status, Assessments, and the Future Plans
2025-03-14
preprintOpen accessThe Global Precipitation Climatology Project (GPCP) is a popular combined satellite-gauge precipitation dataset in which the long-term CDR standards of consistency and homogeneity are emphasized. This presentation is composed of four major parts: (1) a brief overview of the latest GPCP Daily and Monthly products (V3.2) and satellite-gauge input data sets used in them; (2) comparison of the GPCP V3.2 products with the previous version of GPCP Daily (V1.3) and Monthly (V2.3) products and highlighting major changes; (3) assessment of the GPCP V3.2 products over the oceans using Passive Aquatic Listeners (PALs), over sea ice using snow depth data from a combination of ICESat-2 and Cryosat-2 observations plus ERA5 estimates, and over Antarctica using CloudSat; (4) insights from the latest GPM (V07) products as they are related to GPCP and the update of GPCP to GPCP V3.3. Several major changes occurred in GPCP V3.2, including: (1) moving from Monthly 2.5°x2.5° and Daily 1.0°x 1.0° spatial resolution in V2.3 to 0.5°x0.5° for both Monthly and Daily products; (2) calibrations to climatologies based on high-accuracy satellite missions, including TRMM, CloudSat, GPM, and GRACE; and (3) use of new precipitation retrieval and calibration methods. Compared to V2.3, GPCP V3.2 shows about a 6.5% increase in global oceanic and about a 4.5% increase in global (land and ocean) precipitation rates with some major changes over the ocean between 40°S and 60°S. Similar to V2.3, near-zero global precipitation trend is observed in V3.2.  However, regional trends, which are substantial, remain generally similar between V2.3 and V3.2. Evaluations over the oceans using PALs showed that GPCP V3.2 substantially outperforms GPCP V2.3 in representing rain occurrence and rain intensity at daily scale, likely due to the use of IMERG in the GPCP V3.2 Daily product. Our study suggests that GPCP V3.2 generally captures the snowfall accumulation pattern over sea ice, compared to that obtained from the combined ICESat-2 and Cryosat-2 observations, as well as that from ERA5. However, this set of products shows considerable differences in the amount of snowfall accumulation, with ERA5 often showing the highest values. We will end the presentation by briefly discussing our plans for further improvement of GPCP, including higher spatial and temporal resolution, lower latency, and the use of more-advanced gauge analysis and precipitation retrieval methods.
Pigmented lesion accuracy by ChatGPT in diagnosis of dermoscopic images
Journal of the American Academy of Dermatology · 2025-11-01 · 1 citations
article
Frequent coauthors
- 169 shared
Guojun Gu
Earth System Science Interdisciplinary Center
- 157 shared
George J. Huffman
Goddard Space Flight Center
- 81 shared
Huan Wu
- 58 shared
David T. Bolvin
Science Systems and Applications (United States)
- 57 shared
Yang Hong
University of Oklahoma
- 55 shared
Dalia Kirschbaum
Goddard Space Flight Center
- 54 shared
Andrew J. Negri
- 49 shared
Yudong Tian
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