Evidence map›Paper›PMID 32663138›Full record

ArticleJournal of medical Internet research2020

The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint.

Przemyslaw Kardas, Isabel Aguilar-Palacio, Marta Almada, Caitriona Cahir, Elisio Costa, Anna Giardini, Sara Malo, Mireia Massot Mesquida, Enrica Menditto, Luís Midão and 3 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Persistence as a Robust Indicator of Medication Adherence-Related Quality and Performance.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Przemyslaw KardasDepartment of Family Medicine, Medical University of Lodz, Lodz, Poland.ORCID 0000-0002-6078-2628
Isabel Aguilar-PalacioPreventive Medicine and Public Health Department, Zaragoza University, Zaragoza, Spain.ORCID 0000-0001-7293-701X
Marta AlmadaUCIBIO REQUIMTE, ICBAS, Porto4Ageing - Competences Center on Active and Healthy Ageing, Faculty of Pharmacy, University of Porto, Porto, Portugal.ORCID 0000-0001-6575-1698
Caitriona CahirDivision of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland.ORCID 0000-0002-7137-5737
Elisio CostaUCIBIO REQUIMTE, ICBAS, Porto4Ageing - Competences Center on Active and Healthy Ageing, Faculty of Pharmacy, University of Porto, Porto, Portugal.ORCID 0000-0003-1158-1480
Anna GiardiniIT Department, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.ORCID 0000-0002-2845-347X
Sara MaloPreventive Medicine and Public Health Department, Zaragoza University, Zaragoza, Spain.ORCID 0000-0002-7194-8275
Mireia Massot MesquidaServei d'Atenció Primària Vallès Occidental, Institut Català de la Salut, Barcelona, Spain.ORCID 0000-0003-3649-5167
Enrica MendittoCIRFF, Center of Pharmacoeconomics, University of Naples Federico II, Naples, Italy.ORCID 0000-0001-8633-5650
Luís MidãoUCIBIO REQUIMTE, ICBAS, Porto4Ageing - Competences Center on Active and Healthy Ageing, Faculty of Pharmacy, University of Porto, Porto, Portugal.ORCID 0000-0003-1981-2554
Carlos Luis Parra-CalderónGroup of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain.ORCID 0000-0003-2609-575X
Enrique Pepiol SalomInternational Commitee, Muy Ilustre Colegio Oficial de Farmacéuticos, Valencia, Spain.ORCID 0000-0003-2289-5776
Bernard VrijensAARDEX Group, Seraing, Belgium.ORCID 0000-0002-9090-1253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Big DataHumansPatient ComplianceRetrospective Studiesbig dataconsensusmetricspatient adherence

Identifiers

PMID32663138
PMCPMC7484771

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.