The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint
| Autor: | Anna Giardini, Marta Almada, Caitriona Cahir, Bernard Vrijens, Isabel Aguilar-Palacio, Przemyslaw Kardas, Enrica Menditto, Luís Midão, Carlos Luis Parra-Calderón, Enrique Pepiol Salom, Mireia Massot Mesquida, Elísio Costa, Sara Malo |
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| Přispěvatelé: | Kardas, P., Aguilar-Palacio, I., Almada, M., Cahir, C., Costa, E., Giardini, A., Malo, S., Massot Mesquida, M., Menditto, E., Midao, L., Parra-Calderon, C. L., Pepiol Salom, E., Vrijens, B., Aflofarm, Fresenius Biotech, Polpharma, Sandoz, European Commission |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Consensus Big data Psychological intervention Patient adherence Health Informatics Pharmacy 030204 cardiovascular system & hematology lcsh:Computer applications to medicine. Medical informatics metrics 03 medical and health sciences 0302 clinical medicine Viewpoint Order (exchange) big data Health care medicine consensu Humans 030212 general & internal medicine Digitization Retrospective Studies Medical education patient adherence business.industry metric Public health lcsh:Public aspects of medicine lcsh:RA1-1270 Benchmarking 3. Good health consensus Patient Compliance lcsh:R858-859.7 Metrics business Psychology |
| Zdroj: | Journal of Medical Internet Research, Vol 22, Iss 8, p e18150 (2020) Digital.CSIC. Repositorio Institucional del CSIC instname Journal of Medical Internet Research |
| Popis: | Despite half a century of dedicated studies, medication adherence remains far from perfect, with many patients not taking their medications as prescribed. The magnitude of this problem is rising, jeopardizing the effectiveness of evidence-based therapies. An important reason for this is the unprecedented demographic change at the beginning of the 21st century. Aging leads to multimorbidity and complex therapeutic regimens that create a fertile ground for nonadherence. As this scenario is a global problem, it needs a worldwide answer. Could this answer be provided, given the new opportunities created by the digitization of health care? Daily, health-related information is being collected in electronic health records, pharmacy dispensing databases, health insurance systems, and national health system records. These big data repositories offer a unique chance to study adherence both retrospectively and prospectively at the population level, as well as its related factors. In order to make full use of this opportunity, there is a need to develop standardized measures of adherence, which can be applied globally to big data and will inform scientific research, clinical practice, and public health. These standardized measures may also enable a better understanding of the relationship between adherence and clinical outcomes, and allow for fair benchmarking of the effectiveness and cost-effectiveness of adherence-targeting interventions. Unfortunately, despite this obvious need, such standards are still lacking. Therefore, the aim of this paper is to call for a consensus on global standards for measuring adherence with big data. More specifically, sound standards of formatting and analyzing big data are needed in order to assess, uniformly present, and compare patterns of medication adherence across studies. Wide use of these standards may improve adherence and make health care systems more effective and sustainable. PK received speaker honoraria from Aflofarm, Fresenius, Polpharma, and Sandoz and received grant funding from European Union’s Horizon 2020 for GATEKEEPER project (grant agreement number 857223) and The European Commission ERASMUS+ Project Skills4Adherence (grant agreement number: 2017-1-PL01-KA202-038672), outside of this work. BV is the CEO and shareholder of AARDEX Group. |
| Databáze: | OpenAIRE |
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