Real-Time Delphi Consultation on Medication Adherence Technologies: Consistency of Views Among Different Stakeholder Groups

Author(s)

Nabergoj Makovec U1, Tadic I2, Goetzinger C3, Ribaut J4, Fonseca PB5, Haupenthal F6, Herdeiro MT7, Grant SP8, Jácome C9, Roque F10, Smits D11, Dima AL12
1University of Ljubljana, Faculty of Pharmacy, Ljubljana, 061, Slovenia, 2University of Belgrade, Belgrade, Serbia, 3Luxembourg Institute of Health, Strassen, Luxembourg, 4Faculty of Medicine, University of Basel, Basel, Switzerland, 5CUDECA Hospice Foundation, Malaga, Spain, 6Medical University of Vienna, Vienna, Austria, 7University of Aveiro, Aveiro, Portugal, 8Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA, 9Faculty of Medicine, University of Porto, Porto, Portugal, 10Polytechnic of Guarda, Guarda, Portugal, 11Faculty of Public Health and Social Welfare, Riga Stradins University, Riga, Latvia, 12Institut de Recerca Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain

Presentation Documents

OBJECTIVES:

ENABLE COST Action (CA19132) aims to develop an online repository for medication adherence technologies (MATech). We explored stakeholders’ level of agreement on relevance and clarity of the proposed MATech definition and repository structure as well as the consistency among their views.

METHODS:

Researchers, healthcare practitioners (HCP), policy makers, patient representatives and health IT developers from 29 countries participated in a real-time online Delphi survey to consult on the relevance and clarity of the MATech definition and 21 attributes on product and provider information, medication adherence content, and evaluation and implementation. The Interpercentile Range Adjusted for Symmetry analysis from the RAND/UCLA Appropriateness Method was used to determine the level of agreement on 9-point scale for each stakeholder group. Responses of participants identifying themselves with more than one group were used in all identified groups. Consistency of results was calculated with intraclass correlation coefficient (ICC) for relevance and clarity, overall and separately.

RESULTS:

Among the 83 participants, 50 identified as researchers, 45 HCP, 19 policy makers, 18 patient representatives and 24 health IT developers. Overall ICC was 0.97, ICC for relevance and clarity was 0.95 and 0.97, respectively, indicating good consistency across groups. The median level of agreement with MATech definition ranged from 6.74–7.05 (patients-researchers) and clarity from 7.09-7.59 (patients-IT). Implementation reached highest relevance in 4 groups (medians 7.54, 7.76, 7.75, 7.72 for research, policy, patient, IT respectively) and clarity in 2 groups (7.62, 7.76 for research, IT respectively). ISO certification was the least relevant attribute for all groups (median range 6.19-6.33, patient-HCP), and with highest clarity for policy (8.01). The least clear were attributes on medication adherence intervention features (5.63, 5.67, 5.26 for research, policy, patients respectively) and phase (5.59, 5.51 for HCP and IT respectively).

CONCLUSIONS:

High consistency across groups indicates a solid common ground for the development of the MATech repository.

Conference/Value in Health Info

2022-11, ISPOR Europe 2022, Vienna, Austria

Value in Health, Volume 25, Issue 12S (December 2022)

Code

HTA212

Topic

Health Technology Assessment, Medical Technologies

Topic Subcategory

Systems & Structure, Value Frameworks & Dossier Format

Disease

No Additional Disease & Conditions/Specialized Treatment Areas

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