Associations Between Patient Characteristics and the Amount of Arthritis Medication Information Patients Receive

Geryk, Lorie L.; Blalock, Susan J.; DeVellis, Robert F.; Morella, Kristen; Carpenter, Delesha M.

doi:10.1080/10810730.2016.1222036

Cited by 12 publications

(8 citation statements)

References 52 publications

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“…To our surprise, the factor, medicine-related questions, is the most key point to affect medication adherence, which suggested that explaining medicine-related questions especially error in directions and information concerning medicines clearly to patients when starting treatment may enhance medication adherence in IRD patients. 25 , 32 , 33 Besides, we found that the two questions of missing dose and adjust dosage or stop taking the medicine without doctor’s directions were prominent. Consequently, interventions such as medication reminders and regular follow-up target adherence must be tailored to the particular illness-related demands experienced by the patients.…”

Section: Discussionmentioning

confidence: 91%

Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram

Wang¹,

Zhang²,

Liu

et al. 2018

PPA

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PurposeThe aim of this study was to develop and internally validate a medication nonadherence risk nomogram in a Chinese population of patients with inflammatory rheumatic diseases.Patients and methodsWe developed a prediction model based on a training dataset of 244 IRD patients, and data were collected from March 2016 to May 2016. Adherence was evaluated using 19-item Compliance Questionnaire Rheumatology. The least absolute shrinkage and selection operator regression model was used to optimize feature selection for the medication nonadherence risk model. Multivariable logistic regression analysis was applied to build a predicting model incorporating the feature selected in the least absolute shrinkage and selection operator regression model. Discrimination, calibration, and clinical usefulness of the predicting model were assessed using the C-index, calibration plot, and decision curve analysis. Internal validation was assessed using the bootstrapping validation.ResultsPredictors contained in the prediction nomogram included use of glucocorticoid (GC), use of nonsteroidal anti-inflammatory drugs, number of medicine-related questions, education level, and the distance to hospital. The model displayed good discrimination with a C-index of 0.857 (95% confidence interval: 0.807–0.907) and good calibration. High C-index value of 0.847 could still be reached in the interval validation. Decision curve analysis showed that the nonadherence nomogram was clinically useful when intervention was decided at the nonadherence possibility threshold of 14%.ConclusionThis novel nonadherence nomogram incorporating the use of GC, the use of nonsteroidal anti-inflammatory drugs, the number of medicine-related questions, education level, and distance to hospital could be conveniently used to facilitate the individual medication nonadherence risk prediction in IRD patients.

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Section: Discussionmentioning

confidence: 91%

Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram

Wang¹,

Zhang²,

Liu

et al. 2018

PPA

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“…A study by Geryk et al confirmed that greater receipt of information was associated with greater medication adherence, use of more medications and with more satisfaction with doctor medication-related support, but conversely also with greater medication-taking concerns [ 19 ].…”

Section: Discussionmentioning

confidence: 99%

Patient perspectives on how to improve education on medication side effects: cross-sectional observational study at a rheumatology clinic in The Netherlands

et al. 2021

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Rheumatoid arthritis (RA) patients often report lacking information on medication side effects. The aims of this study were to observe how rheumatology healthcare providers deliver medication information and to determine in which specific domains information is missing. First, 12 single-blinded structured observations were performed during regular RA patient consultations. The observers noted whether and how medication and medication side effects were discussed. Second, 100 RA patients were asked to fill out an adaptation of the Satisfaction with Information about Medicines Scale (SIMS). Medication was discussed during all observed consultations. With new medication, its purpose and mode of action were explained in all cases, but possible side effects in only 33%. Overall, medication side effects were discussed in 58% of consultations. Most information delivery was verbal (92%). Response rate to the questionnaire was 61%. Overall satisfaction with medication education was mean 7.3 (± 1.9) (NRS 0–10) with a comparable high SIMS total satisfaction sum score of mean 12.3 (± 4.4). At subscale score levels, 89% were satisfied with the amount of information on the action and usage of medication, but only 47% with the information on the potential problems of medication. RA patients express overall high satisfaction with their medication education but there is still an unmet need for information on potential risks and side effects. Using the SIMS questionnaire in daily clinical practice may help focus medication education to the needs of the individual patient.

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“…This was confirmed in the quantitative data collection that showed that patients considered almost all information items as important but were not informed thereof. It appears that patients consistently have unmet information needs, which can have direct implications for optimal pharmacotherapy [ 1 – 4 ]. In this study, patients indicated that medication information should be tailored to their individual needs.…”

Section: Discussionmentioning

confidence: 99%

“…Providing appropriate medication information to patients is of utmost importance for optimal pharmacotherapy, medication adherence and disease control [1,2]. Patients with inadequate knowledge about their medication, receiving inappropriate or non-understandable information are less likely to adhere to their therapy, which could lead to inadequate medication use and decreased therapy efficacy [3,4].…”

Section: Introductionmentioning

confidence: 99%

Information needs and patient perceptions of the quality of medication information available in hospitals: a mixed method study

Bekker¹,

Naghani²,

Natsch³

et al. 2020

Int J Clin Pharm

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Background Providing appropriate medication information to patients is of utmost importance for optimal pharmacotherapy. (Un)intentional miscommunication and information gaps resulting in unmet needs could negatively affect patient’s ability to use their medication properly. Objective To identify the information needs and patient perceptions of the quality of medication information available in hospitals in the Netherlands. Setting Cardiology, oncology, or rheumatology department of five hospitals. Methods Adult cardiology, oncology, and rheumatology patients participated in this mixed-method study. Focus groups and individual interviews were held to identify patients’ views on the medication information and their information needs. Outcomes were used to construct a questionnaire that was used in a survey among patients to compare existing medication information with patients’ needs, and to judge the quality of the provided information. Main outcome measure Patients needs with medication information. Results Four themes derived from interviews with 44 patients: (1) Content; almost all patients acknowledged to receive insufficient information not meeting their personal needs. (2) Moment of delivery; patients were dissatisfied with the timing. (3) Method of delivery; patients highly preferred verbal and written information. (4) Contextual quality prerequisites that should be met according to patients; medication information should be accessible, comprehensive, reliable and understandable. A total of 352 patients completed the questionnaire. Almost all patients reported all items as important, whereas up to 74.6% patients were not informed. Up to half of the patients perceived verbal information from healthcare providers, written information of leaflets and folders of insufficient quality. Conclusion Patients attending Dutch hospitals have needs for extensive medication information, which should be tailored to their individual needs. According to patients the quality of medication information available in hospitals can be improved.

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Associations Between Patient Characteristics and the Amount of Arthritis Medication Information Patients Receive

Cited by 12 publications

References 52 publications

Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram

Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram

Patient perspectives on how to improve education on medication side effects: cross-sectional observational study at a rheumatology clinic in The Netherlands

Information needs and patient perceptions of the quality of medication information available in hospitals: a mixed method study

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