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A Mobile App for the Precise Measurement of Healthcare Provider Activity Times to Support Time-Driven Activity Based Costing Studies.
Kellett, Kyle J; Cardoso, Ricardo Bertoglio; da Silva Etges, Ana Paula Beck; Tsai, Mitchell H; Waldschmidt, Brian M.
  • Kellett KJ; Larner College of Medicine, University of Vermont, Burlington, VT, USA.
  • Cardoso RB; School of Technology, National Institute of Science and Technology for Health Technology Assessment (IATS)CNPq/Brazil, Pontifícia Universidade Católica Do Rio Grande Do Sul, Porto Alegre, Brasil.
  • da Silva Etges APB; School of Technology, National Institute of Science and Technology for Health Technology Assessment (IATS)CNPq/Brazil, Pontifícia Universidade Católica Do Rio Grande Do Sul, Porto Alegre, Brasil.
  • Tsai MH; Department of Anesthesiology, Orthopaedics and Rehabilitation (By Courtesy), and Surgery (By Courtesy), Larner College of Medicine, University of Vermont, Burlington, VT, USA. mitchell.tsai@uvmhealth.org.
  • Waldschmidt BM; Department of Anesthesiology, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
J Med Syst ; 46(6): 30, 2022 Apr 20.
Article en En | MEDLINE | ID: mdl-35445284
ABSTRACT
The duration of activities performed by healthcare providers are pivotal to Time-Driven Activity-Based Costing (TDABC) models. This study examines the use of a smartphone mobile application technology to record activity times. This study validates the accuracy of activity times recorded on a smartphone mobile application, dTool, compared to observed length of time recordings in the operating room. For analysis, we performed two one-sided tests for the measurements "Case Start" and "Case End". Equivalence bounds were specified in terms of raw mean difference of 1 min (upper) and -1 min (lower). The total number of comparisons in the observer protocol was 72 (32 "case start" patient comparisons and 40 "case end" patient comparisons measured over 45 individual OR cases). Given equivalence bounds of -1.000 and 1.000 (on a raw scale) and an alpha of 0.05, both equivalence tests were significant provider and third-party observer protocol presented t(40) = 3.228 and p = < 0.001; observer timing protocol presented t(68.68) = 56.762, p = < 0.001.

Conclusions:

With this novel smartphone technology, a healthcare provider can reliably self-record activity LoT using dTool while providing patient care. Future TDABC studies incorporating this technology will reduce the potential operational barriers to implementation.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aplicaciones Móviles Tipo de estudio: Health_economic_evaluation Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aplicaciones Móviles Tipo de estudio: Health_economic_evaluation Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article