Evidence map›Paper›PMID 37960404›Full record

Trial reportSensors (Basel, Switzerland)2023

The Effect of a Smartphone App with an Accelerometer on the Physical Activity Behavior of Hospitalized Patients: A Randomized Controlled Trial.

Hanneke C van Dijk-Huisman, Rachel Senden, Maud H H Smeets, Rik G J Marcellis, Fabienne J H Magdelijns, Antoine F Lenssen

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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

6 authors at 2 institutions in 1 country.

Hanneke C van Dijk-HuismanDepartment of Physical Therapy, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands.ORCID 0000-0002-4513-6935
Rachel SendenDepartment of Physical Therapy, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands.ORCID 0000-0002-9463-5749
Maud H H SmeetsDepartment of Physical Therapy, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands.
Rik G J MarcellisDepartment of Physical Therapy, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands.ORCID 0000-0003-4819-4863
Fabienne J H MagdelijnsDepartment of Internal Medicine, Division of General Medicine and Clinical Geriatric Medicine, Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands.
Antoine F LenssenDepartment of Physical Therapy, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands.ORCID 0000-0003-3627-4452
Maastricht University · NLMaastricht University Medical Centre · NL

Funding

Top Consortium Knowledge and Innovation - Top Sector Life Sciences & Health (TKI - LSH) Match Regulation for public private partnership LSHM18071
6 · The paper itself

Abstract

Inactive behavior is common in hospitalized patients. This study investigated the effectiveness of using a smartphone app with an accelerometer (Hospital Fit) in addition to usual care physiotherapy on increasing patients' physical activity (PA) behavior. A randomized controlled trial was performed at Maastricht University Medical Centre. Patients receiving physiotherapy while hospitalized at the department of Pulmonology or Internal Medicine were randomized to usual care physiotherapy or using Hospital Fit additionally. Daily time spent walking, standing, and upright (standing/walking) (min) and daily number of postural transitions were measured with an accelerometer between the first and last treatment. Multiple linear regression analysis was performed to determine the association between PA behavior and Hospital Fit use, corrected for functional independence (mILAS). Seventy-eight patients were included with a median (IQR) age of 63 (56-68) years. Although no significant effects were found, a trend was seen in favor of Hospital Fit. Effects increased with length of use. Corrected for functional independence, Hospital Fit use resulted in an average increase of 27.4 min (95% CI: -2.4-57.3) standing/walking on day five and 29.2 min (95% CI: -6.4-64.7) on day six compared to usual care. Hospital Fit appears valuable in increasing PA in functionally independent patients.

Indexed as

Mobile ApplicationsAccelerometryAgedExerciseHumansMiddle AgedMotor ActivitySmartphoneWalkingactivity monitoringfunctional recoveryhospitalizationmHealthphysical activityphysiotherapywearable sensors

Identifiers

PMID37960404
PMCPMC10648825
OpenAlexW4387937653

What OpenQuestion holds

Textmetadata
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.