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

Author:

Dijk-Huisman Hanneke C. van1ORCID,Senden Rachel1ORCID,Smeets Maud H. H.1,Marcellis Rik G. J.1ORCID,Magdelijns Fabienne J. H.2,Lenssen Antoine F.13ORCID

Affiliation:

1. Department of Physical Therapy, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands

2. Department of Internal Medicine, Division of General Medicine and Clinical Geriatric Medicine, Maastricht University Medical Centre, 6229 HX Maastricht, The Netherlands

3. CAPHRI School for Public Health and Primary Care, Maastricht University, 6200 MD Maastricht, The Netherlands

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.

Funder

Top Consortium Knowledge and Innovation–Top Sector Life Sciences & Health (TKI–LSH) Match Regulation for public–private partnership

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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