Evidence map›Paper›PMID 33211733›Full record

ArticlePloS one2020

Integrating remote monitoring into heart failure patients' care regimen: A pilot study.

Albert Sohn, William Speier, Esther Lan, Kymberly Aoki, Gregg C Fonarow, Michael K Ong, Corey W Arnold

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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  6. A smart pill bottle and text messaging intervention for promoting medication adherence in patients with chronic myeloid leukemia: a pilot study of txt4 TKI.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  17. A Sensor-Controlled Digital Game for Heart Failure Self-Care Based on Behavioral Change Frameworks.SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health : book of proceedings. IEEE International Conference on Serious Games and Applications for Health · 2022
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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

7 authors at 1 institution in 1 country.

Albert SohnDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, United States of America.ORCID 0000-0001-8825-7561
William SpeierDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, United States of America.
Esther LanDivision of General Internal Medicine & Health Services Research, Department of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Kymberly AokiDivision of General Internal Medicine & Health Services Research, Department of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Gregg C FonarowDivision of Cardiology, Department of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Michael K OngDivision of General Internal Medicine & Health Services Research, Department of Medicine, University of California, Los Angeles, Los Angeles, California, United States of America.
Corey W ArnoldDepartment of Radiological Sciences, University of California, Los Angeles, Los Angeles, California, United States of America.
University of California, Los Angeles · US

Funding

mHealth for Heart Failure: Predictive Models of Readmission Risk and Self-care Using Consumer Activity TrackersR56HL135425 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARNOLD, COREY WELLS · 2017 to 2017
$599k
NHLBI NIH HHS R56 HL135425
6 · The paper itself

Abstract

backgroundAround 50% of hospital readmissions due to heart failure are preventable, with lack of adherence to prescribed self-care as a driving factor. Remote tracking and reminders issued by mobile health devices could help to promote self-care, which could potentially reduce these readmissions.

objectiveWe sought to investigate two factors: (1) feasibility of enrolling heart failure patients in a remote monitoring regimen that uses wireless sensors and patient-reported outcome measures; and (2) their adherence to using the study devices and completing patient-reported outcome measures.

methodsTwenty heart failure patients participated in piloting a remote monitoring regimen. Data collection included: (1) physical activity using wrist-worn activity trackers; (2) body weight using bathroom scales; (3) medication adherence using smart pill bottles; and (4) patient -reported outcomes using patient-reported outcome measures.

resultsWe evaluated 150 hospitalized heart failure patients and enrolled 20 individuals. Two factors contributed to 50% (65/130) being excluded from the study: smartphone ownership and patient discharge. Over the course of the study, 60.0% of the subjects wore the activity tracker for at least 70% of the hours, and 45.0% used the scale for more than 70% of the days. The pill bottle was used less than 10% of the days by 55.0% of the subjects.

conclusionsOur method of recruiting heart failure patients prior to hospital discharge may not be feasible as the enrollment rate was low. Once enrolled, the majority of subjects maintained a high adherence to wearing the activity tracker but low adherence to using the pill bottle and completing the follow-up surveys. Scale usage was fair, but it received positive reviews from most subjects. Given the observed usage and feedback, we suggest mobile health-driven interventions consider including an activity tracker and bathroom scale. We also recommend administering a shorter survey more regularly and through an easier interface.

Indexed as

Outcome Assessment, Health CareAgedAged, 80 and overBody WeightExerciseFemaleHeart FailureHumansMaleMedication AdherenceMiddle AgedMonitoring, PhysiologicPilot ProjectsSelf ReportTelemedicineWearable Electronic Devices

Identifiers

PMID33211733
PMCPMC7676713
OpenAlexW3104903406

What OpenQuestion holds

Textmetadata
LicenceCC0
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.