Evidence map›Paper›PMID 26604712›Full record

ArticlePatient preference and adherence2015

Self-reported adherence to oral cancer therapy: relationships with symptom distress, depression, and personal characteristics.

Donna L Berry, Traci M Blonquist, Fangxin Hong, Barbara Halpenny, Ann H Partridge

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Patient preference and adherence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% of its field
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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  15. I'm still me, I'm still a person: war metaphor use and meaning making in women with metastatic breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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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

5 authors at 2 institutions in 1 country.

Donna L BerryPhyllis F Cantor Center, Dana-Farber Cancer Institute, Boston, MA, USA ; Medical Oncology, Department of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA ; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Traci M BlonquistDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Fangxin HongDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA ; Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA.
Barbara HalpennyPhyllis F Cantor Center, Dana-Farber Cancer Institute, Boston, MA, USA.
Ann H PartridgeMedical Oncology, Department of Medicine, Dana-Farber Cancer Institute, Boston, MA, USA ; Department of Medicine, Harvard Medical School, Boston, MA, USA.
Dana-Farber Cancer Institute · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTherapeutic cancer chemotherapy is most successful when complete dosing is achieved. Because many newer therapeutic agents are oral and self-administered by the patient, adherence is a concern. The purpose of our analysis was to explore relationships between adherence, patient characteristics, and barriers to adherence.

methodsThis secondary analysis utilized self-reported data from a randomized trial of self-care management conducted at two cancer centers in the US. Symptom distress was measured using the 15-item Symptom Distress Scale (SDS-15) and depression with the Patient Health Questionnaire-9 (PHQ-9). Adherence to oral medication was self-reported using the 8-item Morisky Medication Adherence Scale (MMAS-8). Measures were collected via Web-based, study-specific software ~8 weeks after treatment start date. Odds of low/medium adherence (score <8) were explored using univariate logistic regression. Given the number of factors and possible relationships among factors, a classification tree was built in lieu of a multivariable logistic regression model.

resultsOf the eligible participants enrolled, 77 were on oral therapy and 70 had an MMAS score. Forty-nine (70%) reported a high adherence score (=8). Higher odds of low/medium adherence were associated with greater symptom distress (P=0.09), more depression (P=0.05), chemotherapy vs hormonal oral medication (P=0.03), being female (P=0.02), and being randomized to the control group in the parent trial (P=0.09). Conversely, high adherence was associated with working (P=0.08), being married/partnered (P=0.004), and being older (P=0.02). Factors identified as significantly related to low/medium adherence from the univariate logistic regression analyses were supported by the classification tree results.

conclusionNonadherence to therapeutic oral medications in patients with cancer was associated with being unmarried/unpartnered, symptom distress, younger age, not working, and female sex. These findings may help to identify patients at risk for nonadherence and for whom supportive interventions to enhance adherence may be needed.

Indexed as

logistic regressionpatient-centered technologyrecursive partitioningself-management

Identifiers

PMID26604712
PMCPMC4639537
OpenAlexW2174423407

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.