Evidence map›Paper›PMID 33393915›Full record

ArticleJMIR perioperative medicine2020

A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study.

Carissa A Low, Michaela Danko, Krina C Durica, Abhineeth Reddy Kunta, Raghu Mulukutla, Yiyi Ren, David L Bartlett, Dana H Bovbjerg, Anind K Dey, John M Jakicic

Open access · diamondAbstract read
In one paragraph

Article in JMIR perioperative medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 5 pooled it
2.2field-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

27 citing papers in PubMed, 5 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  13. Sensor-Based Frailty Assessment Using Fitbit.Sensors (Basel, Switzerland) · 2024
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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

10 authors at 3 institutions in 1 country.

Carissa A LowUniversity of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-3318-7495
Michaela DankoUniversity of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-2073-8833
Krina C DuricaUniversity of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-5287-375X
Abhineeth Reddy KuntaUniversity of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-2885-1942
Raghu MulukutlaCarnegie Mellon University, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-5822-0565
Yiyi RenCarnegie Mellon University, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0002-2084-4943
David L BartlettUniversity of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-3099-2613
Dana H BovbjergUniversity of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-8843-7669
Anind K DeyUniversity of Washington, Seattle, WA, United States.ORCID https://orcid.org/0000-0002-3004-0770
John M JakicicUniversity of Pittsburgh, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0001-6800-9368
University of Pittsburgh · USCarnegie Mellon University · USUniversity of Washington · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Leonard J. Appleman · 1988 to 2026
$158.0M
Technology-supported sedentary behavior intervention to promote recovery from cancer surgeryK07CA204380 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOW, CARISSA A · 2016 to 2019
$451k
NCI NIH HHS K07 CA204380NCI NIH HHS P30 CA047904
6 · The paper itself

Abstract

backgroundSedentary behavior (SB) is common after cancer surgery and may negatively affect recovery and quality of life, but postoperative symptoms such as pain can be a significant barrier to patients achieving recommended physical activity levels. We conducted a single-arm pilot trial evaluating the usability and acceptability of a real-time mobile intervention that detects prolonged SB in the perioperative period and delivers prompts to walk that are tailored to daily self-reported symptom burden.

objectiveThe aim of this study is to develop and test a mobile technology-supported intervention to reduce SB before and after cancer surgery, and to evaluate the usability and feasibility of the intervention.

methodsA total of 15 patients scheduled for abdominal cancer surgery consented to the study, which involved using a Fitbit smartwatch with a companion smartphone app across the perioperative period (from a minimum of 2 weeks before surgery to 30 days postdischarge). Participants received prompts to walk after any SB that exceeded a prespecified threshold, which varied from day to day based on patient-reported symptom severity. Participants also completed weekly semistructured interviews to collect information on usability, acceptability, and experience using the app and smartphone; in addition, smartwatch logs were examined to assess participant study compliance.

resultsOf eligible patients approached, 79% (15/19) agreed to participate. Attrition was low (1/15, 7%) and due to poor health and prolonged hospitalization. Participants rated (0-100) the smartphone and smartwatch apps as very easy (mean 92.3 and 93.2, respectively) and pleasant to use (mean 93.0 and 93.2, respectively). Overall satisfaction with the whole system was 89.9, and the mean System Usability Scale score was 83.8 out of 100. Overall compliance with symptom reporting was 51% (469/927 days), decreasing significantly from before surgery (264/364, 73%) to inpatient recovery (32/143, 22%) and postdischarge (173/420, 41%). Overall Fitbit compliance was 70% (653/927 days) but also declined from before surgery (330/364, 91%) to inpatient (51/143, 36%) and postdischarge (272/420, 65%).

conclusionsPerioperative patients with cancer were willing to use a smartwatch- and smartphone-based real-time intervention to reduce SB, and they rated the apps as very easy and pleasant to use. Compliance with the intervention declined significantly after surgery. The effects of the intervention on postoperative activity patterns, recovery, and quality of life will be evaluated in an ongoing randomized trial.

Indexed as

mobile healthmobile phonephysical activitysedentary behaviorsmartphonesurgical oncologywearable device

Identifiers

PMID33393915
PMCPMC7709849
OpenAlexW3003847510

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.