Alexandra L Dima1, Eric van Ganse2,3,4, Laurent Laforest2, Nathalie Texier5, Marijn de Bruin1,6. 1. a Amsterdam School of Communication Research ASCoR, University of Amsterdam , The Netherlands. 2. b Health Services and Performance Research (HESPER), Faculte d'Odontologie, Claude Bernard University , Lyon , France. 3. c Pharmacoepidemiology Lyon (PELyon) , Lyon , France. 4. d Respiratory Medicine, Croix-Rousse University Hospital , Lyon , France. 5. e Kappa Santé , Paris , France. 6. f Aberdeen Health Psychology Group, Institute of Applied Health Sciences , University of Aberdeen , Aberdeen , UK.
Abstract
OBJECTIVE: This study presents the development and validation of MIS-A (Medication Intake Survey-Asthma), a new self-report instrument measuring key adherence properties during long-term asthma treatment. DESIGN: Within a longitudinal asthma cohort study in France and the United Kingdom, adult patients and caregivers of children responded to computer-assisted telephone interviews. MAIN OUTCOME MEASURES: Scores for distinct adherence properties (taking adherence, correct dosing, therapeutic coverage, drug holidays, overuse) and composite measures were computed for several time intervals. We examined distributions, longitudinal variation, associations between adherence scores and concordance with adherence calculated from medication prescribing or dispensing records. RESULTS: Nine hundred and two participants reported on adherence to 4481 medications on 4140 occasions. About 59.47 and 70.36% revealed < 100% taking adherence in the last week and month; 42.76% had a drug holiday of > 1 week in the last 4 months. Adherence varied within patients during the follow-up (intra-class correlation = . 41-.71). Correlations between adherence scores were moderate to strong (ρ = .51-.85, p ≤ .001), except medication overuse (ρ = .04-.19, p ≤.05). Four-month taking adherence was associated with dispensing adherence, but not with prescribing adherence (ρ = .33, p < .001; and .12, p = .26). CONCLUSION: MIS-A is a promising, easy-to-use self-report tool that can capture accurately different adherence properties over a long time period.
OBJECTIVE: This study presents the development and validation of MIS-A (Medication Intake Survey-Asthma), a new self-report instrument measuring key adherence properties during long-term asthma treatment. DESIGN: Within a longitudinal asthma cohort study in France and the United Kingdom, adult patients and caregivers of children responded to computer-assisted telephone interviews. MAIN OUTCOME MEASURES: Scores for distinct adherence properties (taking adherence, correct dosing, therapeutic coverage, drug holidays, overuse) and composite measures were computed for several time intervals. We examined distributions, longitudinal variation, associations between adherence scores and concordance with adherence calculated from medication prescribing or dispensing records. RESULTS: Nine hundred and two participants reported on adherence to 4481 medications on 4140 occasions. About 59.47 and 70.36% revealed < 100% taking adherence in the last week and month; 42.76% had a drug holiday of > 1 week in the last 4 months. Adherence varied within patients during the follow-up (intra-class correlation = . 41-.71). Correlations between adherence scores were moderate to strong (ρ = .51-.85, p ≤ .001), except medication overuse (ρ = .04-.19, p ≤.05). Four-month taking adherence was associated with dispensing adherence, but not with prescribing adherence (ρ = .33, p < .001; and .12, p = .26). CONCLUSION: MIS-A is a promising, easy-to-use self-report tool that can capture accurately different adherence properties over a long time period.
Authors: K Mayoral; O Garin; M A Caballero-Rabasco; M Praena-Crespo; A Bercedo; G Hernandez; J Castillo; C Lizano Barrantes; Y Pardo; M Ferrer Journal: Qual Life Res Date: 2021-01-02 Impact factor: 4.147
Authors: Gimena Hernandez; Alexandra L Dima; Àngels Pont; Olatz Garin; Marc Martí-Pastor; Jordi Alonso; Eric Van Ganse; Laurent Laforest; Marijn de Bruin; Karina Mayoral; Montse Ferrer Journal: PLoS One Date: 2018-08-23 Impact factor: 3.240
Authors: Yu Heng Kwan; Livia Jia Yi Oo; Dionne Hui Fang Loh; Truls Østbye; Lian Leng Low; Hayden Barry Bosworth; Julian Thumboo; Jie Kie Phang; Si Dun Weng; Dan V Blalock; Eng Hui Chew; Kai Zhen Yap; Corrinne Yong Koon Tan; Sungwon Yoon; Warren Fong Journal: J Med Internet Res Date: 2020-10-08 Impact factor: 5.428
Authors: Yu Heng Kwan; Si Dun Weng; Dionne Hui Fang Loh; Truls Østbye; Lian Leng Low; Hayden Barry Bosworth; Julian Thumboo; Jie Kie Phang; Livia Jia Yi Oo; Dan V Blalock; Eng Hui Chew; Kai Zhen Yap; Corrinne Yong Koon Tan; Sungwon Yoon; Warren Fong Journal: J Med Internet Res Date: 2020-10-09 Impact factor: 5.428
Authors: Claire D Visser; Jip M Linthorst; Esther Kuipers; Jacob K Sont; Joyca P W Lacroix; Henk-Jan Guchelaar; Martina Teichert Journal: Front Pharmacol Date: 2021-12-22 Impact factor: 5.810