Evidence map›Paper›PMID 32157679›Full record

ArticleJournal of the American Geriatrics Society2020

Older Adults Can Successfully Monitor Symptoms Using an Inclusively Designed Mobile Application.

Meghan Reading Turchioe, Lisa V Grossman, Dawon Baik, Christopher S Lee, Mathew S Maurer, Parag Goyal, Monika M Safford, Ruth M Masterson Creber

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Quality assessment of mHealth apps: a scoping review.Frontiers in health services · 2024
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  19. Understanding Psychological Distress and Protective Factors Amongst Older Adults During the COVID-19 Pandemic.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021
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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

8 authors.

Meghan Reading TurchioeDepartment of Healthcare Policy & Research, Weill Cornell Medicine, New York, New York.ORCID 0000-0002-6264-6320
Lisa V GrossmanDepartment of Biomedical Informatics, Columbia University Medical Center, New York, New York.
Dawon BaikCollege of Nursing, University of Colorado Anschutz Medial Campus, Aurora, Colorado.
Christopher S LeeBoston College Connell School of Nursing, Chestnut Hill, Massachusetts.
Mathew S MaurerClinical Cardiovascular Research Laboratory for the Elderly, Allen Hospital of New York Presbyterian, Columbia University Irving Medical Center, New York, New York.
Parag GoyalDepartment of Internal Medicine, Weill Cornell Medicine, New York, New York.ORCID 0000-0001-7474-3737
Monika M SaffordDepartment of Internal Medicine, Weill Cornell Medicine, New York, New York.
Ruth M Masterson CreberDepartment of Healthcare Policy & Research, Weill Cornell Medicine, New York, New York.ORCID 0000-0002-4238-9902

Funding

Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Should we return patient reported outcomes to human subjects participants?-exploring ethical obligationsR00NR016275 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASTERSON CREBER, RUTH MARIE · 2018 to 2020
$896k
mHealth for Heart Failure Symptom MonitoringK99NR016275 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MASTERSON CREBER, RUTH MARIE · 2016 to 2017
$182k
Data-driven shared decision-making to reduce symptom burden in atrial fibrillationK99NR019124 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI TURCHIOE, MEGHAN READING · 2020 to 2021
$175k
NCATS NIH HHS UL1 TR002384NINR NIH HHS K99 NR016275NINR NIH HHS K99 NR019124NINR NIH HHS R00 NR016275
6 · The paper itself

Abstract

objectivesPatient-Reported Outcomes Measurement Information System (PROMIS) measures can monitor patients with chronic illnesses outside of healthcare settings. Unfortunately, few applications that collect electronic PROMIS measures are designed using inclusive design principles that ensure wide accessibility and usability, thus limiting use by older adults with chronic illnesses. Our aim was to establish the feasibility of using an inclusively designed mobile application tailored to older adults to report PROMIS measures by examining (1) PROMIS scores collected with the application, (2) patient-reported usability of the application, and (3) differences in usability by age.

designCross-sectional feasibility study.

settingInpatient and outpatient cardiac units at an urban academic medical center.

participantsA total of 168 English- and Spanish-speaking older adults with heart failure.

interventionParticipants used an inclusively designed mobile application to self-report PROMIS measures. MEASUREMENTS: Eleven PROMIS Short-Form questionnaires (Anxiety, Ability to Participate in Social Roles and Activities, Applied Cognition-Abilities, Depression, Emotional Distress-Anger, Fatigue, Global Mental Health, Global Physical Health; Pain Interference, Physical Function, Sleep Disturbance), and a validated health technology usability survey measuring Perceived Ease-of-Use and Usefulness of the application.

resultsOverall, 27% of participants were between 65 and 74 years of age, 10% were 75 years or older, 63% were male, 32% were white, and 96% had two or more medical conditions. There was no missing PROMIS data, and mean PROMIS scores showed the greatest burden of pain, fatigue, and physical function in the sample. Usability scores were high and not associated with age (Perceived Ease-of-Use P = .77; Perceived Usefulness P = .91).

conclusionIt is feasible for older adults to use an inclusively designed application to report complete PROMIS data with high perceived usability. To ensure data completeness and the opportunity to study multiple domains of physical, mental, and social health, future work should use inclusive design principles for applications collecting PROMIS measures among older adults. J Am Geriatr Soc 68:1313-1318, 2020.

Indexed as

Chronic DiseaseMobile ApplicationsPatient Reported Outcome MeasuresSelf ReportUser-Centered DesignAgedAged, 80 and overCross-Sectional StudiesFatigueFeasibility StudiesFemaleHeart FailureHumansMaleMental HealthPainhealth statusheart failuremobile healthpatient-reported outcome measuressymptoms

Identifiers

PMID32157679
PMCPMC7323569

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Registered trials

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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.