Evidence map›Paper›PMID 32014839›Full record

ArticleJMIR mHealth and uHealth2020

A Mobile App (mHeart) to Detect Medication Nonadherence in the Heart Transplant Population: Validation Study.

Mar Gomis-Pastor, Eulalia Roig, Sonia Mirabet, Jan T De Pourcq, Irene Conejo, Anna Feliu, Vicens Brossa, Laura Lopez, Andreu Ferrero-Gregori, Anna Barata and 1 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Mar Gomis-PastorPharmacy Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.ORCID 0000-0003-4097-9316
Eulalia Roig *Heart Failure and Heart Transplant Unit, Cardiology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalonia, Spain.ORCID 0000-0002-3421-4985
Sonia Mirabet *Heart Failure and Heart Transplant Unit, Cardiology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalonia, Spain.ORCID 0000-0001-5955-2748
Jan T De PourcqPharmacy Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalonia, Spain.ORCID 0000-0002-9024-1072
Irene ConejoPharmacy Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalonia, Spain.ORCID 0000-0001-9089-3647
Anna FeliuPharmacy Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalonia, Spain.ORCID 0000-0003-2074-2231
Vicens BrossaHeart Failure and Heart Transplant Unit, Cardiology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalonia, Spain.ORCID 0000-0003-0403-6425
Laura LopezHeart Failure and Heart Transplant Unit, Cardiology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalonia, Spain.ORCID 0000-0002-8653-6206
Andreu Ferrero-GregoriInstitute of Biomedical Research IIB Sant Pau, Biomedical Research Networking Center on Cardiovascular Diseases (CIBERCV), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain.ORCID 0000-0001-6492-2416
Anna BarataMoffitt Cancer Center, Florida, FL, United States.ORCID 0000-0003-0297-5920
M Antonia ManguesPharmacy Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Catalonia, Spain.ORCID 0000-0002-1438-8515
Hospital de Sant Pau · ESUniversitat Autònoma de Barcelona · ESMoffitt Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Heart TransplantationMedication AdherenceMobile ApplicationsFemaleHumansMaleMiddle AgedProspective StudiesReproducibility of Resultsbehavioral sciencesearly medical interventionmobile healthpatient-reported outcome measurespatient satisfactionself-reporttelemedicinetransplantationtreatment adherence and compliancevalidation studies

Identifiers

PMID32014839
PMCPMC7055830
OpenAlexW3012937126

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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.