A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study
BackgroundMedication nonadherence in heart transplant recipients (HTxR) is related to graft loss and death. mHeart is a mobile app that uses electronic patient-reported outcome measures (ePROMs) to identify and manage medication nonadherence in the outpatient heart transplant...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2020-02-01
|
Series: | JMIR mHealth and uHealth |
Online Access: | https://mhealth.jmir.org/2020/2/e15957 |
id |
doaj-cdb53163120a4d36bcd8520ccc24dd4a |
---|---|
record_format |
Article |
spelling |
doaj-cdb53163120a4d36bcd8520ccc24dd4a2021-05-03T04:33:05ZengJMIR PublicationsJMIR mHealth and uHealth2291-52222020-02-0182e1595710.2196/15957A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation StudyGomis-Pastor, MarRoig, EulaliaMirabet, SoniaT De Pourcq, JanConejo, IreneFeliu, AnnaBrossa, VicensLopez, LauraFerrero-Gregori, AndreuBarata, AnnaMangues, M Antonia BackgroundMedication nonadherence in heart transplant recipients (HTxR) is related to graft loss and death. mHeart is a mobile app that uses electronic patient-reported outcome measures (ePROMs) to identify and manage medication nonadherence in the outpatient heart transplant (HTx) population. ObjectiveThe study primarily aimed to validate mHeart to measure medication nonadherence in early stage HTxR by assessing the psychometric properties of ePROMs. The secondary aims were to (1) measure patient satisfaction with the mHeart tool and its usability and (2) explore the impact of a theory-based treatment on medication nonadherence rates to determine its scalability to larger research. MethodsA prospective study was conducted in the outpatient clinic of a tertiary hospital. All consecutive early stage HTxR (<1.5 years from HTx) were included. The ePROM psychometric properties assessed were validity, reliability, responsiveness, interpretability, and burden. ePROMs comprised the 4-item Morisky-Green-Levine questionnaire and an adapted version of the Haynes-Sackett questionnaire. The Simplified Medication Adherence Questionnaire (SMAQ) was also applied on-site. Three consecutive medication nonadherence assessments were performed by a transplant pharmacist. To improve medication nonadherence, theory-based interventions were delivered in a 1-month period. Patient satisfaction was assessed by a semiquantitative Web-based survey at the end of the study. ResultsWe included 31 early stage HTxR (age: mean 54 years, SD 12 years), and 71% (22/31) of them were men. The HTxR were taking a mean 13 (SD 4; range 7-18) drugs per day. A total of 42% (13/31) of patients were unaware of the consequences of medication nonadherence, and 39% (12/31) of patients were nonadherent to immunosuppressive treatment. The content validity measure showed excellent levels of expert panel agreement for the Haynes-Sacket (14/14, 100%) and Morisky-Green-Levine (13/14, 93%) questionnaires. SMAQ and Morisky-Green-Levine ePROMs showed similar measurement domains (convergent validity, phi=0.6, P<.001), which, as expected, differed from Haynes-Sackett ePROMs (divergent validity, phi=0.3, P=.12). Reliability assessment revealed a very strong association between ePROM and on-site PROMs (phi>0.7, P<.001). Reproducibility was moderate (Haynes-Sackett κ=0.6, P<.002) or poor (Morisky-Green-Levine κ=0.3, P=.11) because of unexpected improved medication adherence rates during the test-retest period. According to responsiveness, the theory-based multifaceted intervention program improved medication nonadherence by 16% to 26% (P<.05). A burden analysis showed that ePROMs could potentially overcome traditional on-site limitations (eg, automatic recording of ePROM responses in the hospital information system). The mean score for overall patient satisfaction with the mHeart approach was 9 (SD 2; score range: 0-10). All 100% (29/29) of patients surveyed reported that they would recommend the mHeart platform to other HTxR. ConclusionsePROMs adhered to the quality standards and successfully identified medication nonadherence in the HTx population, supporting their widespread use. The theory-based intervention program showed a promising improvement in medication adherence rates and produced excellent patient satisfaction and usability scores in HTxR.https://mhealth.jmir.org/2020/2/e15957 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gomis-Pastor, Mar Roig, Eulalia Mirabet, Sonia T De Pourcq, Jan Conejo, Irene Feliu, Anna Brossa, Vicens Lopez, Laura Ferrero-Gregori, Andreu Barata, Anna Mangues, M Antonia |
spellingShingle |
Gomis-Pastor, Mar Roig, Eulalia Mirabet, Sonia T De Pourcq, Jan Conejo, Irene Feliu, Anna Brossa, Vicens Lopez, Laura Ferrero-Gregori, Andreu Barata, Anna Mangues, M Antonia A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study JMIR mHealth and uHealth |
author_facet |
Gomis-Pastor, Mar Roig, Eulalia Mirabet, Sonia T De Pourcq, Jan Conejo, Irene Feliu, Anna Brossa, Vicens Lopez, Laura Ferrero-Gregori, Andreu Barata, Anna Mangues, M Antonia |
author_sort |
Gomis-Pastor, Mar |
title |
A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study |
title_short |
A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study |
title_full |
A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study |
title_fullStr |
A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study |
title_full_unstemmed |
A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study |
title_sort |
mobile app (mheart) to detect medication nonadherence in the heart transplant population: validation study |
publisher |
JMIR Publications |
series |
JMIR mHealth and uHealth |
issn |
2291-5222 |
publishDate |
2020-02-01 |
description |
BackgroundMedication nonadherence in heart transplant recipients (HTxR) is related to graft loss and death. mHeart is a mobile app that uses electronic patient-reported outcome measures (ePROMs) to identify and manage medication nonadherence in the outpatient heart transplant (HTx) population.
ObjectiveThe study primarily aimed to validate mHeart to measure medication nonadherence in early stage HTxR by assessing the psychometric properties of ePROMs. The secondary aims were to (1) measure patient satisfaction with the mHeart tool and its usability and (2) explore the impact of a theory-based treatment on medication nonadherence rates to determine its scalability to larger research.
MethodsA prospective study was conducted in the outpatient clinic of a tertiary hospital. All consecutive early stage HTxR (<1.5 years from HTx) were included. The ePROM psychometric properties assessed were validity, reliability, responsiveness, interpretability, and burden. ePROMs comprised the 4-item Morisky-Green-Levine questionnaire and an adapted version of the Haynes-Sackett questionnaire. The Simplified Medication Adherence Questionnaire (SMAQ) was also applied on-site. Three consecutive medication nonadherence assessments were performed by a transplant pharmacist. To improve medication nonadherence, theory-based interventions were delivered in a 1-month period. Patient satisfaction was assessed by a semiquantitative Web-based survey at the end of the study.
ResultsWe included 31 early stage HTxR (age: mean 54 years, SD 12 years), and 71% (22/31) of them were men. The HTxR were taking a mean 13 (SD 4; range 7-18) drugs per day. A total of 42% (13/31) of patients were unaware of the consequences of medication nonadherence, and 39% (12/31) of patients were nonadherent to immunosuppressive treatment. The content validity measure showed excellent levels of expert panel agreement for the Haynes-Sacket (14/14, 100%) and Morisky-Green-Levine (13/14, 93%) questionnaires. SMAQ and Morisky-Green-Levine ePROMs showed similar measurement domains (convergent validity, phi=0.6, P<.001), which, as expected, differed from Haynes-Sackett ePROMs (divergent validity, phi=0.3, P=.12). Reliability assessment revealed a very strong association between ePROM and on-site PROMs (phi>0.7, P<.001). Reproducibility was moderate (Haynes-Sackett κ=0.6, P<.002) or poor (Morisky-Green-Levine κ=0.3, P=.11) because of unexpected improved medication adherence rates during the test-retest period. According to responsiveness, the theory-based multifaceted intervention program improved medication nonadherence by 16% to 26% (P<.05). A burden analysis showed that ePROMs could potentially overcome traditional on-site limitations (eg, automatic recording of ePROM responses in the hospital information system). The mean score for overall patient satisfaction with the mHeart approach was 9 (SD 2; score range: 0-10). All 100% (29/29) of patients surveyed reported that they would recommend the mHeart platform to other HTxR.
ConclusionsePROMs adhered to the quality standards and successfully identified medication nonadherence in the HTx population, supporting their widespread use. The theory-based intervention program showed a promising improvement in medication adherence rates and produced excellent patient satisfaction and usability scores in HTxR. |
url |
https://mhealth.jmir.org/2020/2/e15957 |
work_keys_str_mv |
AT gomispastormar amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT roigeulalia amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT mirabetsonia amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT tdepourcqjan amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT conejoirene amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT feliuanna amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT brossavicens amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT lopezlaura amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT ferrerogregoriandreu amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT barataanna amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT manguesmantonia amobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT gomispastormar mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT roigeulalia mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT mirabetsonia mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT tdepourcqjan mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT conejoirene mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT feliuanna mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT brossavicens mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT lopezlaura mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT ferrerogregoriandreu mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT barataanna mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy AT manguesmantonia mobileappmhearttodetectmedicationnonadherenceinthehearttransplantpopulationvalidationstudy |
_version_ |
1721484152791891968 |