ArticlePatient preference and adherence2016
Patterns of analgesic adherence predict health care utilization among outpatients with cancer pain.
Article in Patient preference and adherence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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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.
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Who cites it
16 citing papers in PubMed, 31 citations in OpenAlex.
- Trajectory, interactions, and predictors of higher symptom burden during induction therapy for multiple myeloma.Journal of patient-reported outcomes · 2024Article
- Cannabis and opioid perceptions, co-use, and substitution among patients across 4 NCI-Designated Cancer Centers.Journal of the National Cancer Institute. Monographs · 2024Article
- Trajectories and predictors of high-occurrence pain flares in ambulatory cancer patients on opioids.JNCI cancer spectrum · 2024Article
- Electronic Real-Time Monitoring Reveals Limited Adherence to Long-Term Opioid Prescriptions in Pain Patients.Journal of pain research · 2024Article
- Cultural dimensions of individualism and collectivism and risk of opioid misuse: A test of Social Cognitive Theory.Journal of clinical psychology · 2022Article
- Modeling Individual Patient Count/Rate Data over Time with Applications to Cancer Pain Flares and Cancer Pain Medication Usage.Open journal of statistics · 2021Article
- Gaps in the Use of Long-Acting Opioids Within Intervals of Consecutive Days Among Cancer Outpatients Using Electronic Pill Caps.Pain medicine (Malden, Mass.) · 2021Observational
- The Association Between Analgesic Treatment Beliefs and Electronically Monitored Adherence for Cancer Pain.Oncology nursing forum · 2021Article
- Impact of Cannabis Use on Least Pain Scores Among African American and White Patients with Cancer Pain: A Moderation Analysis.Journal of pain research · 2021Article
- Patient Trade-Offs Related to Analgesic Use for Cancer Pain: A MaxDiff Analysis Study.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2020Article
- Both Race and Insurance Type Independently Predict the Selection of Oral Opioids Prescribed to Cancer Outpatients.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2020Article
- Patient Patterns and Perspectives on Using Opioid Regimens for Chronic Cancer Pain.Journal of pain and symptom management · 2019Article
- Factors Related to Adherence to Opioids in Black Patients With Cancer Pain.Journal of pain and symptom management · 2019Observational
- Self-management research of asthma and good drug use (SMARAGD study): a pilot trial.International journal of clinical pharmacy · 2017Article
- Incorporating nonlinearity into mediation analyses.BMC medical research methodology · 2017Article
- Salient concerns in using analgesia for cancer pain among outpatients: A cluster analysis study.World journal of clinical oncology · 2017Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundStudies in chronic noncancer pain settings have found that opioid use increases health care utilization. Despite the key role of analgesics, specifically opioids, in the setting of cancer pain, there is no literature to our knowledge about the relationship between adherence to prescribed around-the-clock (ATC) analgesics and acute health care utilization (hospitalization) among patients with cancer pain. PURPOSE: To identify adherence patterns over time for cancer patients taking ATC analgesics for pain, cluster these patterns into adherence types, combine the types into an adherence risk factor for hospitalization, identify other risk factors for hospitalization, and identify risk factors for inconsistent analgesic adherence. MATERIALS AND
methodsData from a 3-month prospective observational study of patients diagnosed with solid tumors or multiple myeloma, having cancer-related pain, and having at least one prescription of oral ATC analgesics were collected. Adherence data were collected electronically using the medication event-monitoring system. Analyses were conducted using adaptive modeling methods based on heuristic search through alternative models controlled by likelihood cross-validation scores.
resultsSix adherence types were identified and combined into the risk factor for hospitalization of inconsistent versus consistent adherence over time. Twenty other individually significant risk factors for hospitalization were identified, but inconsistent analgesic adherence was the strongest of these predictors (ie, generating the largest likelihood cross-validation score). These risk factors were adaptively combined into a model for hospitalization based on six pairwise interaction risk factors with exceptional discrimination (ie, area under the receiver-operating-characteristic curve of 0.91). Patients had from zero to five of these risk factors, with an odds ratio of 5.44 (95% confidence interval 3.09-9.58) for hospitalization, with a unit increase in the number of such risk factors.
conclusionInconsistent adherence to prescribed ATC analgesics, specifically the interaction of strong opioids and inconsistent adherence, is a strong risk factor for hospitalization among cancer outpatients with pain.
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