Patient Prefer Adher
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Patient Prefer Adher · Jan 2019
Patient experiences with interdisciplinary treatment for substance dependence: an assessment of quality indicators based on two national surveys in Norway.
Purpose: The quality of health care is often measured using quality indicators, which can be utilized to compare the performance of health-care providers. Conducting comparisons in a meaningful and fair way requires the quality indicators to be adjusted for patient characteristics and other individual-level factors. The aims of the study were to develop and test a case-mix adjustment model for quality indicators based on patient-experience surveys among inpatients receiving interdisciplinary treatment for substance dependence, and to establish whether the quality indicators discriminate between health care providers. ⋯ Explained variance at the individual level was approximately 7% for all three scales. Conclusion: This study identified several important case-mix variables for the patient-based quality indicators and systematic variations at the hospital-trust level. Future research should assess the association between patient-based quality indicators and other quality indicators, and the predictive validity of patient-experience indicators based on on-site measurements.
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Patient Prefer Adher · Jan 2019
Collecting patient preference information using a Clinical Data Research Network: demonstrating feasibility with idiopathic pulmonary fibrosis.
Purpose: Rare diseases present challenges for accessing patient populations to conduct surveys. Clinical Data Research Networks (CDRNs) offer an opportunity to overcome those challenges by providing infrastructure for accessing patients and sharing data. This study aims to demonstrate the feasibility of collecting patient preference information for a rare disease in a CDRN, using idiopathic pulmonary fibrosis as proof of concept. ⋯ The network was advantageous to the study of patient preferences. Future research should continue to explore pathways for the collection and use of patient preference information across networks. The power of consolidated collection efforts may lead to the ability to use preference data to inform decision-making at the regional, specialty, or individual encounter level.
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Patient Prefer Adher · Jan 2019
Patient and physician preferences for attributes of biologic medications for severe asthma.
Despite the increased availability of biologic treatments indicated for severe asthma, patient and physician preferences for these medications remains largely unknown. The purpose of this study was to understand perceptions of biologic therapies, barriers to care with biologic medications, and preferences for biologic therapy attributes. ⋯ Patients and physicians expressed strong preferences for less frequent dosing, SC administration, and faster onset. Cost/insurance coverage and convenience issues were key barriers to use. Increased awareness and understanding of preferences and barriers may be useful in facilitating physician-patient conversations with the goal of individualizing treatment.
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Patient Prefer Adher · Jan 2019
Patient Perspectives on Factors Influencing Medication Adherence Among People with Coronary Heart Disease (CHD) and CHD Risk Factors.
Few qualitative studies have explored factors influencing medication adherence among people with coronary heart disease (CHD) or CHD risk factors. We explored how factors related to the patient (e.g. self-efficacy), social/economic conditions (e.g. social support and cost of medications), therapy (e.g. side effects), health condition (e.g. comorbidities), and the healthcare system/healthcare team (e.g. support from healthcare providers and pharmacy access) influence medication adherence, based on the World Health Organization Multidimensional Adherence Model (WHO-MAM). ⋯ These results underscore the need for multidimensional interventions aimed at improving medication adherence and overall health of patients with CHD and CHD risk factors.
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Patient Prefer Adher · Jan 2019
Using the Medication Adherence Reasons Scale (MAR-Scale) to identify the reasons for non-adherence across multiple disease conditions.
Purpose: With more than 50% of the individuals on chronic conditions not taking medicines as prescribed, it is essential for health care providers to understand the reasons, so that adherence-related conversations can be initiated and focused appropriately. Measuring medication non-adherence is complex, because patients are often on multiple medications and take them via various modes of administration such as orally, by injection, or topically, and at various frequencies such as daily or weekly. The Medication Adherence Reasons Scale (MAR-Scale) is a twenty-item, self-reported, comprehensive scale developed to measure two aspects of medication non-adherence: the extent or frequency of non-adherence and reasons for non-adherence. ⋯ MAR-Scale reliability ranged from Cronbach's alpha of 0.861 in multiple sclerosis to 0.973 in psoriasis. For daily orals, non-adherence ranged from 25.2% in diabetes to 63.7% in eczema. The most common reasons across conditions were "simply missed it," "side effects," and "concern about long-term effects." Conclusion: The MAR-Scale demonstrates acceptable reliability in multiple chronic disease conditions and across modes and frequencies of administration.