Assessment of Patient Medication Adherence, Medical Record Accuracy, and Medication Blood Concentrations for Prescription and Over-the-Counter Medications

Sutherland, Jeffrey J.; Morrison, Ryan D.; McNaughton, Candace D.; Daly, Thomas M.; Milne, Stephen; Daniels, J. Scott; Ryan, Timothy P.

doi:10.1001/jamanetworkopen.2018.4196

Cited by 32 publications

(21 citation statements)

References 13 publications

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“…Oleson et al specifically studied the correlation between over‐the‐counter medicines and adherence and found no relationship including when non‐prescribed medicines, dietary medicines and herbal supplements were separately analysed . Sutherland et al measured adherence by medication class and found the lowest adherence with non‐steroidal anti‐inflammatory drugs, antihistamines and anti‐emetics . These medication classes are available non‐prescription medicines in Australia, so may have contributed to the number of non‐prescribed medications taken by patients in our study.…”

Section: Discussionmentioning

confidence: 58%

Non‐prescription medicines may contribute to non‐adherence to prescription medicines in people living with chronic health conditions

et al. 2020

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Background Non‐adherence to prescribed medicines is linked to adverse health outcomes in people living with chronic health conditions (CHCs). Multiple factors are known to contribute to non‐adherence to medicines including polypharmacy, demographic features and disease and health systems. Both non‐prescription and prescription medicines contribute to polypharmacy; however, there is limited data on the influence of non‐prescription medicines to non‐adherence. Aim Therefore, the aim of the study was to investigate the influence of non‐prescription medicines to non‐adherence in an Australian population. Methods Data from the 2016 National Survey of a random sample of Australian adult residents were utilised in this study to investigate factors associated with non‐adherence. Descriptive statistics, χ2, regression and generalised linear models were used to assess the relationships between variables of interest. Narrative response and comments were used to provide further insight. Results This study recruited 1217 participants to explore factors associated with non‐adherence to medicines. Weak but statistically significant correlations were identified showing the number of CHCs, patient's age, number of prescription medicines, number of non‐prescription medicines and total number of medicines associated with non‐adherence. Discussion The findings suggest that people living with CHCs and taking multiple medicines, including non‐prescription medicines, are likely to be non‐adherent to prescription medicines. This study shows the possible involvement of non‐prescription medicines in contributing to non‐adherence in an Australian population and suggests that future studies with a broader demographic are warranted.

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Section: Discussionmentioning

confidence: 58%

Non‐prescription medicines may contribute to non‐adherence to prescription medicines in people living with chronic health conditions

et al. 2020

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“…Importantly, the derived cut-off values are dose-normalized and thus account for individual differences in the atorvastatin metabolism by summarizing parent drug and metabolites [22]. Two previous studies have applied an LC-MS/MS assay to determine adherence to atorvastatin [28,29]. The classification of adherence in these studies, based solely on the presence or absence of atorvastatin in blood [28,29] has several limitations as described elsewhere [21,22].…”

Section: Discussionmentioning

confidence: 99%

“…Two previous studies have applied an LC-MS/MS assay to determine adherence to atorvastatin [28,29]. The classification of adherence in these studies, based solely on the presence or absence of atorvastatin in blood [28,29] has several limitations as described elsewhere [21,22]. The current LC-MS/MS assay detects blood levels of atorvastatin weeks after intake due to the drug half-life and instrument sensitivity [21,22].…”

Section: Discussionmentioning

confidence: 99%

The relationship between directly measured statin adherence, self-reported adherence measures and cholesterol levels in patients with coronary heart disease

et al. 2021

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Background and aims: We aimed to determine the relationship between statin adherence measured directly, and by self-report measures and serum cholesterol levels. Methods: Patients prescribed atorvastatin (N = 373) participated in a cross-sectional study 2-36 months after a coronary event. Self-reported adherence included statin adherence the past week, the 8-item Morisky medication adherence scale (MMAS-8), and the Gehi et al. adherence question. Atorvastatin was measured directly in spot blood plasma by a novel liquid chromatography tandem mass-spectrometry method discriminating adherence (0-1 doses omitted) and reduced adherence (≥2 doses omitted). Participants were unaware of the atorvastatin analyses at study participation. Results: Mean age was 63 (SD 9) years and 8% had reduced atorvastatin adherence according to the direct method. In patients classified with reduced adherence by the direct method, 40% reported reduced statin adherence, 32% reported reduced adherence with the MMAS-8 and 22% with the Gehi question. In those adherent by the direct method, 96% also reported high statin adherence, 95% reported high adherence on the MMAS-8 whereas 94% reported high adherence on the Gehi question. Cohen's kappa agreement score with the direct method was 0.4 for self-reported statin adherence, 0.3 for the Gehi question and 0.2 for the MMAS-8. Adherence determined by the direct method, self-reported statin adherence last week, and the Gehi question was inversely related to LDL-cholesterol levels with a p-value of <0.001, 0.001 and 0.004, respectively. Conclusions: Plasma-statin measurements reveal reduced adherence with higher sensitivity than self-report measures, relate to cholesterol levels, and may prove to be a useful tool to improve lipid management.

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“…Medical record data was reviewed for concordance with survey responses. As commonly performed in other research studies, medical record data was considered the gold standard for treatments received [12, 13]. The percentage of patients accurately reporting receipt of common medications and regimens was calculated.…”

Section: Methodsmentioning

confidence: 99%

Accuracy of self-reported cancer treatment data in young breast cancer survivors

Gast

Cathcart-Rake

Norman

et al. 2019

J Patient Rep Outcomes

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Background Patient-reports of cancer treatments are sometimes used in oncology research and clinically when medical records are unavailable. We aimed to evaluate the accuracy of patient recall in this setting. Materials and methods Participants were recruited through an email request from the Dr. Susan Love Research Foundation Army of Women seeking women diagnosed with breast cancer under age 50 and within the past ten years, self-reporting to have been treated with chemotherapy. After informed consent, participants received a web-based survey that inquired about use of and type of chemotherapy and endocrine therapy received. Medical records were reviewed, and discrepancies were defined as patient-report of a different class of drug than documented in the medical record, failing to report a documented class of drug, or responding “don’t know.” Results Of 171 eligible participants , completed questionnaires and medical records were available for 102 (60%). Median age at diagnosis was 41 years (range 25–49), and median time from diagnosis was 65.5 months (range 7–131). Ninety-two percent had completed college. Receipt of chemotherapy was documented in the medical records of 100% of these women who self-reported a personal history of chemotherapy, and there was also 98% concordance regarding receipt of endocrine therapy (yes vs. no). However, discrepancies were identified in 29% of patients regarding chemotherapy types. Time since diagnosis did not increase the likelihood of discrepancies. Conclusion Highly educated young women diagnosed with breast cancer more than five years prior accurately report whether or not they received broad systemic treatment categories. However, self-reports regarding specific drugs should be confirmed by medical record review.

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Assessment of Patient Medication Adherence, Medical Record Accuracy, and Medication Blood Concentrations for Prescription and Over-the-Counter Medications

Cited by 32 publications

References 13 publications

Non‐prescription medicines may contribute to non‐adherence to prescription medicines in people living with chronic health conditions

Non‐prescription medicines may contribute to non‐adherence to prescription medicines in people living with chronic health conditions

The relationship between directly measured statin adherence, self-reported adherence measures and cholesterol levels in patients with coronary heart disease

Accuracy of self-reported cancer treatment data in young breast cancer survivors

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