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Record W4403242667 · doi:10.4212/cjhp.3567

Adverse Drug Reactions and Predictors of Medication Adherence in Patients with Prostate Cancer

2024· article· en· W4403242667 on OpenAlexvenueno aff
Chinonyerem O. Iheanacho, Valentine Uche Odili

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2024
Typearticle
Languageen
FieldMedicine
TopicMedication Adherence and Compliance
Canadian institutionsnot available
FundersTertiary Education Trust Fund
KeywordsProstate cancerMedicineOncologyDrugDrug reactionAdverse effectDiseaseInternal medicineProstateCancerGynecologyPharmacology

Abstract

fetched live from OpenAlex

Background: Adherence to therapy with prostate cancer medicines is critical for delaying the progression of disease and enhancing health outcomes. Objectives: To determine patients’ medication adherence, the predictors of adherence, and the frequency and types of adverse drug reactions (ADRs) in persons with prostate cancer. Methods: A serial entry-point cross-sectional study of patients with prostate cancer was conducted in 3 cancer hospitals in Nigeria over a 12-month period (January 7, 2022, to January 3, 2023). Data on medication adherence were self-reported by patients, and data onADRs were obtained from hospital records. Descriptive and inferential statistical analyses were performed, and p less than 0.05 was considered statistically significant. Results: Of the 133 study participants, most 112 (84.2%) reported high medication adherence. The cost of drugs was the most frequently reported potential barrier to adherence (n = 63, 47.4%). Adherence was significantly dependent on family history of cancer (df = 3, F = 4.557, p = 0.005) and health-related quality of life (HRQOL) (ß = 0.275, T = 2.170, p = 0.032) but not illness perception (ß = 0.046, T = 0.360, p = 0.72). Adverse events were observed in 36 participants (27.1%) and were deemed to be “possible ADRs” (n = 19, 53%) or “probable ADRs” (n = 17, 47%); all were nonpreventable and expected (100%), and most (n = 31, 86%) were within the level 1 category of severity. Loss of erection and low libido was the most frequently reported ADR (n = 14, 39%). Conclusions: In this study, medication adherence was high, with cost being a potential barrier to adherence. Family history of cancer and HRQOL significantly predicted medication adherence. The medications were well tolerated, and observed ADRs had minor severity. Policies targeting the reduction of cost-related factors for prostate cancer medications are essential. Keywords: Nigeria, medication adherence, adverse drug reaction, illness perception, quality of life, prostate cancer RÉSUMÉ Contexte : L’observance thérapeutique quant à la prise de médicaments contre le cancer de la prostate est essentielle pour retarder la progression de la maladie et améliorer les résultats en matière de santé. Objectifs : Déterminer l’observance thérapeutique des patients, les facteurs prédictifs de l’observance ainsi que la fréquence et les types d’effets indésirables du médicament chez les personnes atteintes d’un cancer de la prostate. Méthodologie : Une étude transversale en série a été menée auprès de patients atteints d’un cancer de la prostate dans trois hôpitaux spécialisés dans le traitement du cancer au Nigéria sur une période de 12 mois (du 7 janvier 2022 au 3 janvier 2023). Les patients ont eux-mêmes consigné les données relatives à l’observance thérapeutique et les données concernant les effets indésirables ont été obtenues à partir des dossiers de l’hôpital. Des analyses statistiques descriptives et inférentielles ont été réalisées, où une valeur de p inférieure à 0,05 était considérée comme significative d’un point de vue statistique. Résultats : Des 133 participants à l’étude, la plupart (112, 84,2 %) ont déclaré une forte observance thérapeutique. Le coût des médicaments était l’obstacle potentiel à l’observance le plus fréquemment invoqué (n = 63, 47,4 %). L’observance dépendait significativement des antécédents familiaux de cancer (df = 3, F = 4,557, p = 0,005) et de la qualité de vie liée à la santé (QVLS) (ß = 0,275, T = 2,170, p = 0,032), mais pas de la perception de la maladie (ß = 0,046, T = 0,360, p = 0,72). Des événements indésirables ont été observés chez 36 participants (27,1 %) et ont été considérés comme des « effets indésirables du médicament possibles » (n = 19, 53 %) ou des « effets indésirables du médicament probables » (n = 17, 47 %); tous étaient inévitables et attendus (100 %), et la plupart (n = 31, 86 %) relevaient de la catégorie de gravité de niveau 1. La perte d’érection et la faible libido étaient les effets indésirables les plus fréquemment signalés (n = 14, 39 %). Conclusions : Dans cette étude, l’adhésion au régime médicamenteux était élevée, le coût étant un obstacle potentiel à l’observance. Les antécédents familiaux de cancer et la QVLS prédisaient de manière significative l’observance thérapeutique. Les médicaments étaient bien tolérés et les effets indésirables du médicament observés n’étaient pas fort graves. Il est essentiel de mettre en place des politiques visant à réduire les facteurs liés au coût des médicaments contre le cancer de la prostate. Mots-clés : Nigéria, observance thérapeutique, réaction indésirable aux médicaments, perception de la maladie, qualité de vie, cancer de la prostate

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.283
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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