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Mendeley readers
Attention Score in Context
| Title |
Developing a medication adherence technologies repository: proposed structure and protocol for an online real-time Delphi study
|
|---|---|
| Published in |
BMJ Open, April 2022
|
| DOI | 10.1136/bmjopen-2021-059674 |
| Pubmed ID | |
| Authors |
Urska Nabergoj Makovec, Catherine Goetzinger, Janette Ribaut, Pilar Barnestein-Fonseca, Frederik Haupenthal, Maria Teresa Herdeiro, Sean Patrick Grant, Cristina Jácome, Fatima Roque, Dins Smits, Ivana Tadic, Alexandra L. Dima, Andrei Adrian Tica, Adriana Baban, Adriana E. Chis, Alexandru Corlăteanu, Anna Bryndis Blöndal, Ane Erdal, Anne Gerd Granås, Anthony Karageorgos, Bernard Vrijens, Bettina S. Husebø, Bjorn Wettermark, Christos Petrou, Çiğdem Gamze Özkan, Cristina Mihaela Ghiciuc, Daisy Volmer, Dalma Erdősi, Darinka Gjorgieva Ackova, Dragana Drakul, Dusanka Krajnovic, Elena Kkolou, Elín Ingibjorg Jacobsen, Emma Aarnio, Enkeleda Sinaj, Enrica Menditto, Elena Kkolou, Eric Van Ganse, Esra Uslu, Fatjona Kamberi, Fedor Lehocki, Francisca Leiva-Fernandez, Freyja Jónsdóttir, Fruzsina Mezei, Gaye Hafez, Gregor Bond, Guenka Petrova, Hendrik Knoche, Hilary Pinnock, Horacio Gonzalez-Velez, Indrė Trečiokienė, Ines Potočnjak, Ingibjörg Gunnþórsdóttir, Ioanna Chouvarda, Ioanna Tsiligianni, Isabel Leiva Gea, Isabelle Arnet, Ivett Jakab, Jaime Correia de Sousa, Jaime Espin Balbino, Janja Jazbar, Jesper Kjærgaard, Jiří Vlček, Joao Gregorio, Job van Boven, Jolanta Gulbinovic, Josip Culig, Jovan Mihajlović, Juris Barzdins, Karin Svensberg, Katarina Smilkov, Katerina Mala-Ladova, Katharina Blankart, Konstantin Doberer, Konstantin Tachkov, Kristiina Sepp, Laetitia Huiart, Line Iden Berge, Liset van Dijk, Maja Ortner Hadžiabdić, Manon Belhassen, Marcia Vervloet, Maria Cordina, Marie Ekenberg, Marie Hidle Gedde, Marie McCarthy, Marie Schneider, Marie Viprey, Marina Odalovic, Martin Wawruch, Martina Bago, Miriam Qvarnström, Mitar Popovic, Mitja Kos, Natasa Duborija-Kovacevic, Noemi Bitterman, Omar S. Usmani, Ott Laius, Panagiotis Petrou, Paulo Félix Lamas, Paulo Moreira, Petra Denig, Przemyslaw Kardas, Quitterie Reynaud, Sabina De Geest, Seher Çakmak, Stefan Bruno Velescu, Susanne Reventlow, Tamás Ágh, Valentina Marinkovic, Valentina Orlando, Vered Shay, Vesna Vujic-Aleksic, Vildan Mevsim, Yasemin Cayir, Yingqi Gu, Zorana Kovacevic |
| Abstract |
An online interactive repository of available medication adherence technologies may facilitate their selection and adoption by different stakeholders. Developing a repository is among the main objectives of the European Network to Advance Best practices and technoLogy on medication adherencE (ENABLE) COST Action (CA19132). However, meeting the needs of diverse stakeholders requires careful consideration of the repository structure. A real-time online Delphi study by stakeholders from 39 countries with research, practice, policy, patient representation and technology development backgrounds will be conducted. Eleven ENABLE members from 9 European countries formed an interdisciplinary steering committee to develop the repository structure, prepare study protocol and perform it. Definitions of medication adherence technologies and their attributes were developed iteratively through literature review, discussions within the steering committee and ENABLE Action members, following ontology development recommendations. Three domains (product and provider information (D1), medication adherence descriptors (D2) and evaluation and implementation (D3)) branching in 13 attribute groups are proposed: product and provider information, target use scenarios, target health conditions, medication regimen, medication adherence management components, monitoring/measurement methods and targets, intervention modes of delivery, target behaviour determinants, behaviour change techniques, intervention providers, intervention settings, quality indicators and implementation indicators. Stakeholders will evaluate the proposed definition and attributes' relevance, clarity and completeness and have multiple opportunities to reconsider their evaluations based on aggregated feedback in real-time. Data collection will stop when the predetermined response rate will be achieved. We will quantify agreement and perform analyses of process indicators on the whole sample and per stakeholder group. Ethical approval for the COST ENABLE activities was granted by the Malaga Regional Research Ethics Committee. The Delphi protocol was considered compliant regarding data protection and security by the Data Protection Officer from University of Basel. Findings from the Delphi study will form the basis for the ENABLE repository structure and related activities. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 17% |
| Australia | 1 | 8% |
| United Kingdom | 1 | 8% |
| Luxembourg | 1 | 8% |
| Switzerland | 1 | 8% |
| Belgium | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 17% |
| Researcher | 4 | 13% |
| Student > Doctoral Student | 2 | 7% |
| Other | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 14 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 20% |
| Engineering | 2 | 7% |
| Social Sciences | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 14 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 July 2023.
All research outputs
#3,256,923
of 25,392,582 outputs
Outputs from BMJ Open
#6,349
of 25,598 outputs
Outputs of similar age
#72,136
of 445,315 outputs
Outputs of similar age from BMJ Open
#175
of 1,066 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,598 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done well, scoring higher than 75% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 445,315 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 1,066 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.