scholarly journals An Analysis of Apps with a Medication List Functionality for Older Adults with Heart Failure: Evaluation using the Mobile Application Rating Scale (MARS) and the IMS Institute for Healthcare Informatics Functionality Score (Preprint)

10.2196/30674 ◽  
2021 ◽  
Author(s):  
Yohanca Maria Diaz-Skeete ◽  
David McQuaid ◽  
Adewale Samuel Akinosun ◽  
Idongesit Ekerete ◽  
Natacha Carragher ◽  
...  
Keyword(s):  
Heart Failure ◽  
Older Adults ◽  
Mobile Application ◽  
Rating Scale ◽  
Medication List ◽  
Healthcare Informatics ◽  
Failure Evaluation

An Analysis of Apps with a Medication List Functionality for Older People with Heart Failure: Evaluation using the Mobile Application Rating Scale (MARS) and the IMS Institute for Healthcare Informatics Functionality Score (Preprint)

2021 ◽  
Author(s):  
Yohanca Maria Diaz-Skeete ◽  
David McQuaid ◽  
Adewale Samuel Akinosun ◽  
Idongesit Ekerete ◽  
Natacha Carragher ◽  
...  
Keyword(s):  
Heart Failure ◽  
Mobile Application ◽  
Rating Scale ◽  
Scientific Evidence ◽  
Medication List ◽  
Healthcare Informatics ◽  
Medication History ◽  
Clinic Efficiency ◽  
Google Play

BACKGROUND Managing the care of older patients with heart failure (HF) largely centres on medication management. Due to their frequent medication or dosing changes, an app supporting them to keep an up-to-date list of medication could be advantageous. During COVID-19 times, HF outpatients’ consultations are taking place virtually or by phone. An app with the capability to share the medication list with healthcare professionals before consultation could support the clinic efficiency, for example, reducing consultation time. However, the influence of apps on maintaining an up to date medication history for older adults with HF in Ireland remains largely unexplored. OBJECTIVE The objectives of this review are twofold: to review apps with a medication list functionality and to evaluate the quality of the apps included in the review using the Mobile Application Rating Scale (MARS) and the IMS Institute for Healthcare Informatics functionality scale. METHODS A systematic search of apps was conducted in June 2019 using the Google Play StoreTM and iTunes App StoreTM. The MARS was used independently by four researchers to assess the quality of the apps using an Android phone and an iPad. Apps were also evaluated using the IMS Institute for Healthcare Informatics functionality score. RESULTS Google play and iOS app stores searches identified 483 potential apps (292 from Android stores and 191 from Apple stores). Six apps met the inclusion criteria. Medisafe app had the highest overall MARS score (4/5) and the medication list & medical records app had the lowest overall score (2.5/5). Five out of the six apps achieved an acceptable quality MARS score (>3.0). Two apps scored the maximum number of features (n=11) according to the IMS Institute for Healthcare Informatics functionality score and two scored the lowest (n=5). The apps had on average 8 functions based on the IMS functionality criteria (range 5 to 11). CONCLUSIONS The quality of current apps with a medication list functionality varies regarding their technical aspects. Most of the apps reviewed have an acceptable MARS objective quality. However, the subjective quality or satisfaction with the apps was poor. Only three apps are based on scientific evidence and have been previously tested. Two apps featured all the IMS Institute for Healthcare Informatics functionalities and half do not provide clear instructions on how to enter medication data, do not display vital parameters data in an easy to understand format and do not guide users on how or when to take their medication. CLINICALTRIAL N/A

The Acceptability of a Palliative Care Mobile Application for Older Adults with Heart Failure and Caregivers (Preprint)

2021 ◽  
Author(s):  
Jennifer Paola Villalobos ◽  
Sheana Salyers Bull ◽  
Jennifer Dickman Portz
Keyword(s):  
Heart Failure ◽  
Older Adults ◽  
Palliative Care ◽  
Mobile Application ◽  
Rating Scale ◽  
Digital Health ◽  
Descriptive Analysis ◽  
Advanced Heart Failure ◽  
Self Management ◽  
Smart Watch

BACKGROUND Digital health provides opportunities for patients with advanced heart failure and their caregivers to engage in palliative care, but is relatively underexplored. OBJECTIVE To test the acceptability and usability of Convoy-Pal, a mobile palliative care solution for older adults and their family and informal caregivers, i.e., their “social convoy”. METHODS Convoy-Pal includes tablet based and smart watch tools facilitating self-management and access to palliative care resources. Older adults and convoy caregivers completed an acceptability and usability interview via Zoom including open ended questions and the Mobile Application Rating Scale: User Version (uMars). Descriptive analysis was conducted to summarize the results of open-ended feedback and self-reported acceptability and usability. RESULTS Overall, the feedback from users was good (uMars M=3.96, out of 5). Open ended feedback from the interviews included improving graphs and adding monitoring features. CONCLUSIONS Convoy-Pal is perceived acceptable with good usability for both older adults and their caregivers.

scholarly journals Review and Analysis of Existing Mobile Phone Apps to Support Heart Failure Symptom Monitoring and Self-Care Management Using the Mobile Application Rating Scale (MARS)

2016 ◽  
Vol 4 (2) ◽  
pp. e74 ◽  
Author(s):  
Ruth M Masterson Creber ◽  
Mathew S Maurer ◽  
Meghan Reading ◽  
Grenny Hiraldo ◽  
Kathleen T Hickey ◽  
...  
Keyword(s):  
Heart Failure ◽  
Mobile Phone ◽  
Mobile Application ◽  
Care Management ◽  
Rating Scale ◽  
Self Care ◽  
Symptom Monitoring ◽  
Heart Failure Symptom

scholarly journals The Development and Acceptability of a Mobile Application for Tracking Symptoms of Heart Failure Among Older Adults

2018 ◽  
Vol 24 (2) ◽  
pp. 161-165 ◽  
Author(s):  
Jennifer Dickman Portz ◽  
Anton Vehovec ◽  
Mary A. Dolansky ◽  
Jennifer B. Levin ◽  
Sheana Bull ◽  
...  
Keyword(s):  
Heart Failure ◽  
Older Adults ◽  
Mobile Application

Psychometric evaluation of the Mobile Application Rating Scale (MARS) (Preprint)

2020 ◽  
Author(s):  
Yannik Terhorst ◽  
Paula Philippi ◽  
Lasse Sander ◽  
Dana Schultchen ◽  
Sarah Paganini ◽  
...  
Keyword(s):  
Health Care ◽  
Construct Validity ◽  
Mobile Application ◽  
Concurrent Validity ◽  
Rating Scale ◽  
Psychometric Evaluation ◽  
Confirmatory Factor ◽  
Health Domains ◽  
Psychometric Quality

BACKGROUND Mobile health apps (MHA) have the potential to improve health care. The commercial MHA market is rapidly growing, but the content and quality of available MHA are unknown. Consequently, instruments of high psychometric quality for the assessment of the quality and content of MHA are highly needed. The Mobile Application Rating Scale (MARS) is one of the most widely used tools to evaluate the quality of MHA in various health domains. Only few validation studies investigating its psychometric quality exist with selected samples of MHAs. No study has evaluated the construct validity of the MARS and concurrent validity to other instruments. OBJECTIVE This study evaluates the construct validity, concurrent validity, reliability, and objectivity, of the MARS. METHODS MARS scoring data was pooled from 15 international app quality reviews to evaluate the psychometric properties of the MARS. The MARS measures app quality across four dimensions: engagement, functionality, aesthetics and information quality. App quality is determined for each dimension and overall. Construct validity was evaluated by assessing related competing confirmatory models that were explored by confirmatory factor analysis (CFA). A combination of non-centrality (RMSEA), incremental (CFI, TLI) and residual (SRMR) fit indices was used to evaluate the goodness of fit. As a measure of concurrent validity, the correlations between the MARS and 1) another quality assessment tool called ENLIGHT, and 2) user star-rating extracted from app stores were investigated. Reliability was determined using Omega. Objectivity was assessed in terms of intra-class correlation. RESULTS In total, MARS ratings from 1,299 MHA covering 15 different health domains were pooled for the analysis. Confirmatory factor analysis confirmed a bifactor model with a general quality factor and an additional factor for each subdimension (RMSEA=0.074, TLI=0.922, CFI=0.940, SRMR=0.059). Reliability was good to excellent (Omega 0.79 to 0.93). Objectivity was high (ICC=0.82). The overall MARS rating was positively associated with ENLIGHT (r=0.91, P<0.01) and user-ratings (r=0.14, P<0.01). CONCLUSIONS he psychometric evaluation of the MARS demonstrated its suitability for the quality assessment of MHAs. As such, the MARS could be used to make the quality of MHA transparent to health care stakeholders and patients. Future studies could extend the present findings by investigating the re-test reliability and predictive validity of the MARS.

A patient-centered mobile intervention to promote self-management and improve patient outcomes in chronic heart failure: The ManageHF4Life trial (Preprint)

2020 ◽  
Author(s):  
Michael P. Dorsch ◽  
Karen B. Farris ◽  
Brigid E. Rowell ◽  
Scott L. Hummel ◽  
Todd M. Koelling
Keyword(s):  
Heart Failure ◽  
Mobile Application ◽  
Controlled Trial ◽  
Intervention Group ◽  
Self Care ◽  
Self Management ◽  
Control Group ◽  
Patient Centered ◽  
Self Monitoring ◽  
Heart Failure Questionnaire

BACKGROUND Successful management of heart failure (HF) involves guideline based medical therapy as well as self-care behavior. As a result, the management of HF is moving toward a proactive real-time technological model of assisting patients with monitoring and self-management. OBJECTIVE Evaluate the effectiveness of a mobile application intervention that enhances self-monitoring on health-related quality of life, self-management, and reduces HF readmissions. METHODS A single-center randomized controlled trial was performed. Patients greater than 45 years of age and admitted for acute decompensated HF or recently discharged in the past 4 weeks were included. The intervention group used a mobile application (App). The intervention prompted daily self-monitoring and promoted self-management. The control group (No App) received usual care. The primary outcome was the change in Minnesota Living with Heart Failure Questionnaire (MLHFQ) from baseline to 6 and 12 weeks. Secondary outcomes were the Self-Care Heart Failure Index (SCHFI) questionnaire and recurrent HF admissions. RESULTS Eighty-three patients were enrolled and completed all baseline assessments. Baseline characteristics were similar between groups with the exception of HF etiology. The App group had a reduced MLHFQ at 6 weeks (37.5 ± 3.5 vs. 48.2 ± 3.7, P=0.039) but not at 12 weeks (44.2 ± 4 vs. 45.9 ± 4, P=0.778) compared to No App. There was no effect of the App on the SCHFI at 6 or 12 weeks. The time to first HF admission was not statistically different between the App versus No App groups (HR 0.89, 95% CI 0.39-2.02, P=0.781) over 12 weeks. CONCLUSIONS The mobile application intervention improved MLHFQ at 6 weeks, but did not sustain its effects at 12 weeks. No effect was seen on HF self-care. Further research is needed to enhance engagement in the application for a longer period of time and to determine if the application can reduce HF admissions in a larger study. CLINICALTRIAL NCT03149510

scholarly journals The Association Between Personality and Homebound Status in Older Adults: Results From the NHATS

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 233-233
Author(s):  
Xiaocao Sun ◽  
Minhui Liu ◽  
Christina E Miyawaki ◽  
Yuxiao Li ◽  
Tianxue Hou ◽  
...  
Keyword(s):  
Older Adults ◽  
Personality Traits ◽  
Personality Assessment ◽  
Rating Scale ◽  
Community Dwelling ◽  
Cross Sectional ◽  
Health Related ◽  
Community Dwelling Older Adults ◽  
Ordinal Logistic Regression Model ◽  
Hispanic White

Abstract Personality is associated with predictors of homebound status like frailty, incident falls, and depression. It has been rarely investigated whether personality predicts homebound status among older adults. Using the combining cross-sectional data of the Year 2013 and Year 2014 data from the National Health and Aging Trends Study (NHATS), this study examined the association between personality traits and homebound status in a sample of community-dwelling older adults aged 65 years and older (N=2,788). Homebound status (non-homebound, semi-homebound, and homebound) was determined by the frequency, difficulty, and help of outdoor mobility. Personality traits, including conscientiousness, agreeableness, openness, extraversion, and neuroticism were assessed using the 10-item Midlife Development Inventory on a rating scale from 1 (not at all) to 4 (a lot). Each personality trait was included as a predictor in an ordinal logistic regression model to examine its association with homebound status after adjusting demographic and health-related covariates. The sample was on average 79±7.53 years old, non-Hispanic White (72.0%), female (58.6%), living alone (35.4%) or with spouse/partner only (37.4%). Seventy-four percent, 18%, and 8% of participants were non-homebound, semi-homebound, and homebound, respectively. Homebound participants tended to be less-educated older females. The average scores of conscientiousness, agreeableness, openness, extraversion, and neuroticism were 3.19±0.75, 3.57±0.56, 2.81±0.83, 3.13±0.75, and 2.22±0.86, respectively. Among these five personality traits, high conscientiousness (OR=1.34, p&lt;0.001) and extraversion (OR=1.16, p=.03) were associated with a reduced likelihood of being homebound. These findings provided a basis for potential personality assessment to identify and protect individuals with high homebound risk.

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