Predictors of Completeness of Patients’ Self-reported Personal Medication Lists and Discrepancies With Clinic Medication Lists

Lee, Kirby P.; Nishimura, Kris; Ngu, Becky; Tieu, Leslie; Auerbach, Andrew D.

doi:10.1177/1060028013512109

Cited by 19 publications

(12 citation statements)

References 22 publications

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“…All of the drugs ( Table 2) In most cases (n = 70/82, 85.36%) ( Conversely, we could also quantify in some hair samples drugs not reported by the patient. These results agree with the lack of reliability of the self-report 35 and the high prevalence of non-adherence in headache patients. 36 A characteristic of hair analysis is that it allows the temporal location of drug intake.…”

Section: Resultssupporting

confidence: 87%

Intra‐patient variability of the hair levels of pain medications in chronic migraine patients – a pilot study

Ferrari

Rustichelli

Baraldi

et al. 2019

Drug Testing and Analysis

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Monitoring of prescription pain medications is strongly recommended, considering their abuse liability. We used hair analysis for monitoring pain medications in 12 women with chronic migraine and drug overuse. Hair samples were collected at baseline and after 4 and 8 months and analyzed by liquid chromatography−electrospray tandem mass spectrometry (LC‐ESI‐MS/MS). Intra‐patient variability of the hair‐level‐to‐dose ratio was <20% in most cases. The hair analysis detected changes in the dose taken by the same patient over time, both occasionally and chronically. The agreement between the changes in hair drug levels and those of taken doses was excellent. Therefore, hair analysis appeared advantageous for long‐term monitoring of pain medications, which is otherwise difficult to determine in conventional matrices. In the same sample, multiple medications could be simultaneously determined, and with three samples, nine months of therapy were objectively documented.

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Section: Resultssupporting

confidence: 87%

Intra‐patient variability of the hair levels of pain medications in chronic migraine patients – a pilot study

Ferrari

Rustichelli

Baraldi

et al. 2019

Drug Testing and Analysis

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“…The patient-reported form included items similar to those on the physician-reported form as well as assessment of satisfaction with their currently prescribed inhaler device(s), which could include multiple devices for maintenance therapy. Patients were not asked to indicate their satisfaction relating to specific device(s) they were prescribed (eg, pressurized metered dose inhaler, dry powder inhaler) based on evidence that patients are unable to accurately report the names and dosages of medications, particularly when they take many medications, are cognitively impaired, or have low health literacy [ 36 , 37 ]. Rather, they were asked to indicate their overall satisfaction with 12 attributes of all their current inhaler device(s), such as consistency of drug delivery, simplicity of instructions for use, and information about number of remaining doses.…”

Section: Methodsmentioning

confidence: 99%

Establishing the relationship of inhaler satisfaction, treatment adherence, and patient outcomes: a prospective, real-world, cross-sectional survey of US adult asthma patients and physicians

Price

Harrow²,

Small

et al. 2015

World Allergy Organization Journal

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BackgroundInhaled asthma medications are the mainstay of treatment for chronic asthma. However, nonadherence rates for long-term inhaler therapy among adults are estimated to exceed 50 %. Nonadherence is associated with unfavorable clinical outcomes and diminished quality of life. Research suggests that adherence is associated with patients’ satisfaction with their treatment regimen and other factors, such as concomitant allergic rhinitis and tobacco use.MethodsThis prospective, cross-sectional survey of physicians and their patients evaluated the relationship between patient satisfaction with attributes of inhaler devices, treatment adherence, and clinical outcomes. Primary care and specialist physicians completed a physician-reported patient record form for patients with a confirmed asthma diagnosis. Patients for whom a physician-reported form was completed were invited to complete a patient-reported form. Both surveys collected information about demographics, symptoms, exacerbation history, treatment, smoking status, comorbidities, type of inhaler device, and treatment adherence. Patients also indicated the degree to which they were satisfied with attributes of their currently prescribed inhaler device(s). Partial least squares path modeling quantified relationships between latent variables and clinical outcomes.ResultsA total of 243 patients were included in our analysis and 41 % had poorly controlled asthma. More favorable clinical outcomes were significantly associated with greater patient satisfaction with drug delivery (P = 0.002), higher medication adherence (P = 0.049), no history of tobacco use (P < 0.001), and absence of comorbid allergic rhinitis (P = 0.005). Attributes associated with device satisfaction included patient perceptions of consistency in the amount of drug delivery to the lungs, ease of use, and feedback about the number of remaining doses.ConclusionsHigher patient satisfaction with their asthma drug delivery inhaler device is a significant predictor of more favorable clinical outcomes while allergic rhinitis and smoking history were negatively associated with optimal control of asthma. These findings provide clinicians with opportunities to improve patients’ clinical outcomes by tailoring choice of inhaler device therapy and providing education about the correct way to use the device to ensure optimal outcomes. Patients will likely benefit from medical therapy to manage comorbid allergic rhinitis and smoking cessation interventions. Patients unable to stop smoking may require alternative medical therapies to improve their clinical outcomes.

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“…Furthermore, there may be problems associated with self-reported medication intake, shown by a poor overlap of hospital medication records and self-reported medication. Lee et al showed that 94% of personal medication lists had at least one discrepancy with hospital medication lists [ 31 ]. Therefore, the results obtained from this study may not be generalizable to other study populations.…”

Section: Discussionmentioning

confidence: 99%

Medication Intake Is Associated with Lower Plasma Carotenoids and Higher Fat-Soluble Vitamins in the Cross-Sectional MARK-AGE Study in Older Individuals

Weber

Kochlik

Stuetz

et al. 2020

JCM

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The regular use of medication may interfere with micronutrient metabolism on several levels, such as absorption, turnover rate, and tissue distribution, and this might be amplified during aging. This study evaluates the impact of self-reported medication intake on plasma micronutrients in the MARK-AGE Project, a cross-sectional observational study in 2217 subjects (age- and sex-stratified) aged 35–75 years from six European countries that were grouped according to age. Polypharmacy as possible determinant of micronutrient concentrations was assessed using multiple linear regression models adjusted for age-group, dietary fruit, vegetables, and juice intake, and other confounders. Younger participants reported taking fewer drugs than older participants. Inverse associations between medication intake and lutein (−3.31% difference per increase in medication group), β-carotene (−11.44%), α-carotene (−8.50%) and positive associations with retinol (+2.26%), α-tocopherol/cholesterol (+2.89%) and γ-tocopherol/cholesterol (+1.36%) occurred in multiple adjusted regression models. Combined usage of a higher number of medical drugs was associated with poorer status of carotenoids on the one hand and higher plasma concentrations of retinol, α- and γ-tocopherol on the other hand. Our results raise concerns regarding the safety of drug combinations via the significant and surprisingly multifaceted disturbance of the concentrations of relevant micronutrients.

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Predictors of Completeness of Patients’ Self-reported Personal Medication Lists and Discrepancies With Clinic Medication Lists

Abstract: Patients' self-reported personal medication lists are often incomplete and have discrepancies with clinic medication lists. Interventions are needed to improve medication information transfer between patients, providers and healthcare systems.

Cited by 19 publications

References 22 publications

Intra‐patient variability of the hair levels of pain medications in chronic migraine patients – a pilot study

Intra‐patient variability of the hair levels of pain medications in chronic migraine patients – a pilot study

Establishing the relationship of inhaler satisfaction, treatment adherence, and patient outcomes: a prospective, real-world, cross-sectional survey of US adult asthma patients and physicians

Medication Intake Is Associated with Lower Plasma Carotenoids and Higher Fat-Soluble Vitamins in the Cross-Sectional MARK-AGE Study in Older Individuals

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