Evidence map›Paper›PMID 40021464›Full record

ArticleJournal of managed care & specialty pharmacy2025

The impact of patient characteristics and social drivers of health factors on oral oncolytic adherence.

Nikki Uyehara, Valerie Nguyen, Stacey Yu, Yingjie Weng, Ashley Son, Priyanka Patneedi, Sheila Haidar, Serena Evans, Elizabeth Oyekan, Neera Ahuja

Abstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nikki UyeharaStanford Health Care, Stanford, CA.
Valerie NguyenStanford Health Care, Stanford, CA.
Stacey YuStanford Health Care, Stanford, CA.
Yingjie WengQuantitative Sciences Unit, Department of Medicine, Stanford University, Palo Alto, CA.
Ashley SonStanford Health Care, Stanford, CA.
Priyanka PatneediSpecialty Pharmacy Services, Stanford Health Care, Palo Alto, CA.
Sheila HaidarSpecialty Pharmacy Services, Stanford Health Care, Palo Alto, CA.
Serena EvansGenentech, South San Francisco, CA.
Elizabeth OyekanStanford Health Care, Stanford, CA.
Neera AhujaDepartment of Internal Medicine, Stanford University School of Medicine, Palo Alto, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral oncolytic medication adherence is crucial for effective cancer treatment, yet adherence rates vary widely (16%-100%) depending on cancer subtypes, assessment methodologies, and patient contexts. The increased use of oral medications for various cancer types, although often advantageous over traditional parenteral infusions, has transferred the responsibility of medication administration and management to patients. As such, Stanford Specialty Pharmacy uses a team of pharmacists and liaisons who proactively follow-up with patients before each refill to track adherence and make recommendations where required. Although this program is a step forward in bettering patient outcomes, it does not address the root cause of medication nonadherence. It is vital to better understand trends associated with oral oncolytic medication adherence to better support patients with adherence.

objectiveTo conduct a retrospective analysis of patient records at Stanford Health Care (SHC) Specialty Pharmacy to probe correlations between patient characteristics, social determinants and drivers of health, and adherence to oral oncolytic medications to better support patients with their medication adherence.

methodsThis population included patients aged at least 18 years who had an oral oncolytic dispensed from SHC Specialty Pharmacy between May 2022 and April 2023, with patient characteristics and adherence data taken from patients' electronic health records. Medication nonadherence was defined as a proportion of days covered less than 80%. Using multivariable mixed-effects logistic regression, the rate of nonadherence was compared across several patient characteristics, including age, race and ethnicity, and geographic residence.

resultsAmong 939 patients, 73.75% demonstrated medication adherence, highlighting a high adherence rate within the SHC Specialty Pharmacy cohort. Smoking was significantly associated with 395% higher odds of nonadherence (95% CI = 1.07 - 14.6; P = 0.04) compared with smoking abstinence, whereas patients with obesity presented 59% lower odds of nonadherence compared with patients with normal weight (95% CI = 0.24-0.69; P < 0.001). Additionally, trends in primary language, race and ethnicity, and geographic residence in relation to medication adherence were seen.

conclusionsThese findings show multiple patient characteristics that are associated with oral oncolytic adherence. These identified patterns and additional studies will better inform targeted interventions for achieving equitable care and enhancing access to effective cancer treatments, leading to improved patient outcomes.

Indexed as

Antineoplastic AgentsMedication AdherenceNeoplasmsAdministration, OralAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesAntineoplastic Agents

Identifiers

PMID40021464
PMCPMC11871160

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.