Evidence map›Paper›PMID 39740111›Full record

ArticleJMIR aging2024

Baseline Smartphone App Survey Return in the Electronic Framingham Heart Study Offspring and Omni 1 Study: eCohort Study.

Jian Rong, Chathurangi H Pathiravasan, Yuankai Zhang, Jamie M Faro, Xuzhi Wang, Eric Schramm, Belinda Borrelli, Emelia J Benjamin, Chunyu Liu, Joanne M Murabito

Abstract read
In one paragraph

Article in JMIR aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Trial
  2. Observational
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

10 authors.

Jian RongDepartment of Neurology, Boston University School of Medicine, Framingham, MA, United States.ORCID 0000-0002-6911-1548
Chathurangi H PathiravasanDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0003-2170-1247
Yuankai ZhangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-2318-7539
Jamie M FaroDepartment of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, United States.ORCID 0000-0002-6592-463X
Xuzhi WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0003-4326-691X
Eric SchrammCareEvolution Inc, Ann Arbor, MI, United States.ORCID 0000-0001-9458-4585
Belinda BorrelliCenter for Behavioral Science Research, Boston University, Henry M Goldman School of Dental Medicine, Boston, MA, United States.ORCID 0000-0002-0859-796X
Emelia J BenjaminBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, 73 Mount Wayte Avenue, Framingham, MA, 01702, United States, 1 508 935-3461.ORCID 0000-0003-4076-2336
Chunyu LiuDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States.ORCID 0000-0002-9160-0153
Joanne M MurabitoBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, 73 Mount Wayte Avenue, Framingham, MA, 01702, United States, 1 508 935-3461.ORCID 0000-0002-0192-7516

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
CAPSITE: Community Assessment of Pain and Sensitization in the ElderlyR01AG066010 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., EDWARDS, ROBERT R · 2020 to 2025
$3.3M
Pain in community-based older African American Adults: The Jackson Heart StudyR01AG066914 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., EDWARDS, ROBERT R · 2020 to 2024
$3.2M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
Monitoring Health in Older Adults Using mHealth Technology: Framingham Offspring StudyR01AG076757 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MURABITO, JOANNE M · 2022 to 2025
$2.5M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
–
NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL141434NIA NIH HHS R01 AG066010NIA NIH HHS R01 AG066914NIA NIH HHS R01 AG076757
6 · The paper itself

Abstract

Background: Smartphone apps can be used to monitor chronic conditions and offer opportunities for self-assessment conveniently at home. However, few digital studies include older adults. Objective: We aim to describe a new electronic cohort of older adults embedded in the Framingham Heart Study including baseline smartphone survey return rates and survey completion rates by smartphone type (iPhone [Apple Inc] and Android [Google LLC] users). We also aim to report survey results for selected baseline surveys and participant experience with this study's app. Methods: Framingham Heart Study Offspring and Omni (multiethnic cohort) participants who owned a smartphone were invited to download this study's app that contained a range of survey types to report on different aspects of health including self-reported measures from the Patient-Reported Outcomes Measurement Information System (PROMIS). iPhone users also completed 4 tasks including 2 cognitive and 2 physical function testing tasks. Baseline survey return and completion rates were calculated for 12 surveys and compared between iPhone and Android users. We calculated standardized scores for the PROMIS surveys. The Mobile App Rating Scale (MARS) was deployed 30 days after enrollment to obtain participant feedback on app functionality and aesthetics. Results: We enrolled 611 smartphone users (average age 73.6, SD 6.3 y; n=346, 56.6% women; n=88, 14.4% Omni participants; 478, 78.2% iPhone users) and 596 (97.5%) returned at least 1 baseline survey. iPhone users had higher app survey return rates than Android users for each survey (range 85.5% to 98.3% vs 73.8% to 95.2%, respectively), but survey completion rates did not differ in the 2 smartphone groups. The return rate for the 4 iPhone tasks ranged from 80.9% (380/470) for the gait task to 88.9% (418/470) for the Trail Making Test task. The Electronic Framingham Heart Study participants had better standardized t scores in 6 of 7 PROMIS surveys compared to the general population mean (t score=50) including higher cognitive function (n=55.6) and lower fatigue (n=45.5). Among 469 participants who returned the MARS survey, app functionality and aesthetics was rated high (total MARS score=8.6 on a 1-10 scale). Conclusions: We effectively engaged community-dwelling older adults to use a smartphone app designed to collect health information relevant to older adults. High app survey return rates and very high app survey completion rates were observed along with high participant rating of this study's app.

Indexed as

Mobile ApplicationsSmartphoneAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresSelf ReportSurveys and Questionnairesagingbaseline app surveysdigital healthdigital interventiondigital technologyeCohorteFHSFramingham Heart Studygeriatricgerontologyhealth informationinformation collectionmHealthmobile applicationmobile healthmobile phoneolder adultsmartphonesmartphone app

Identifiers

PMID39740111
PMCPMC11706443

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.