Assessment of the Quality of Mobile Applications (Apps) for Management of Low Back Pain Using the Mobile App Rating Scale (MARS)

  1. Escriche Escuder, Adrián
  2. Torres Sánchez, I. 6
  3. Roldán Jiménez, Cristina 5
  4. Martín Martín, Jaime 5
  5. Muro Culebras, Antonio Luis
  6. González Sánchez, Manuel 35
  7. Ruiz Muñoz, María 5
  8. Mayoral, Fermín 27
  9. Biró, Attila
  10. Tang, Wen
  11. Nikolova, Borjanka
  12. Salvatore, Alfredo
  13. Cuesta Vargas, Antonio Ignacio 1234
  1. 1 Universidad de Málaga (2013)
  2. 2 Instituto de Investigación Biomédica de Málaga - IBIMA
  3. 3 Universidad de Jaén
    info

    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

  4. 4 Universidad Tecnológica de Queensland, Brisbane
  5. 5 Universidad de Málaga
    info

    Universidad de Málaga

    Málaga, España

    ROR https://ror.org/036b2ww28

  6. 6 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

  7. 7 Hospital Regional Universitario de Málaga
    info

    Hospital Regional Universitario de Málaga

    Málaga, España

    ROR https://ror.org/01mqsmm97

Mostrar afiliaciones +
Revista:
International Journal of Environmental Research and Public Health

ISSN: 1660-4601

Año de publicación: 2020

Volumen: 17

Número: 24

Páginas: 9209

Tipo: Artículo

DOI: 10.3390/IJERPH17249209 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: International Journal of Environmental Research and Public Health

Resumen

Digital health interventions may improve different behaviours. However, the rapid proliferation of technological solutions often does not allow for a correct assessment of the quality of the tools. This study aims to review and assess the quality of the available mobile applications (apps) related to interventions for low back pain. Two reviewers search the official stores of Android (Play Store) and iOS (App Store) for localisation in Spain and the United Kingdom, in September 2019, searching for apps related to interventions for low back pain. Seventeen apps finally are included. The quality of the apps is measured using the Mobile App Rating Scale (MARS). The scores of each section and the final score of the apps are retrieved and the mean and standard deviation obtained. The average quality ranges between 2.83 and 4.57 (mean 3.82) on a scale from 1 (inadequate) to 5 (excellent). The best scores are found in functionality (4.7), followed by aesthetic content (mean 4.1). Information (2.93) and engagement (3.58) are the worst rated items. Apps generally have good overall quality, especially in terms of functionality and aesthetics. Engagement and information should be improved in most of the apps. Moreover, scientific evidence is necessary to support the use of applied health tools.

€ Ver financiación

Información de financiación

European Union’s Horizon 2020 Research and Innovation programme under the Marie Sklodowska-Curie actions. Grant Agreement: 823871 (iGAME)

Financiadores

Referencias bibliográficas

  • Effects of a Pain Catastrophizing Induction on Sensory Testing in Women with Chronic Low Back Pain: A Pilot Study https://www.hindawi.com/journals/prm/2017/7892494/
  • 10.1016/S0140-6736(99)01312-4
  • 10.1038/s41746-018-0076-7
  • 10.1016/S0140-6736(17)32154-2
  • 10.2471/BLT.18.226050
  • 10.1016/j.berh.2017.05.001
  • 10.1007/s00586-017-5099-2
  • 10.3238/arztebl.2017.0883
  • 10.7326/M16-2367
  • 10.7326/0003-4819-147-7-200710020-00007
  • 10.1016/j.berh.2010.01.002
  • 10.3390/jcm8071063
  • 10.1038/s41598-019-44664-8
  • 10.1016/j.jphys.2019.05.010
  • 10.5812/aapm.78905
  • 10.1177/2049463718759131
  • 10.7326/M17-0972
  • 10.3233/BMR-170920
  • 10.1002/msc.1191
  • 10.1080/09593985.2017.1357151
  • 10.1016/j.orcp.2018.05.003
  • 10.1007/s12160-013-9486-6
  • Fuller, (2015), Eur. Health Psychol., 17, pp. 2
  • Kreuter, (1999)
  • 10.1080/10810730701615198
  • 10.1186/1479-5868-8-113
  • Smit, (2015), Eur. Health Psychol., 17, pp. 25
  • 10.1186/s12889-015-2363-4
  • 10.2196/mhealth.3422
  • Cummings, (2013), Stud. Health Technol. Inform., 183, pp. 227
  • 10.1177/1357633X16673538
  • 10.2196/mhealth.4328
  • 10.2196/10718
  • 10.2174/1573399816666200703181438
  • 10.1101/2020.07.02.20144964
  • 10.1111/inm.12713
  • 10.2196/14991
  • 10.1186/s12966-016-0359-9
  • 10.2340/00015555-3240
  • 10.1038/s41415-019-0665-0
  • 10.5664/jcsm.7396
  • 10.2196/mhealth.8613
  • 10.2196/mhealth.5849
  • 10.1080/17437199.2018.1525571
  • 10.1177/1090198104263660
  • 10.1016/j.pec.2017.07.032
  • 10.2196/mhealth.8230
  • 10.1186/2001-1326-2-10
  • 10.1109/ACCESS.2018.2799522
  • 10.2196/18868
  • 10.1145/2379776.2379779
  • 10.2196/mhealth.3672
  • 10.1136/amiajnl-2013-002605