TY - GEN
T1 - Tailored information technology in healthcare: Methodology of a case study using a web application in total hip arthroplasty
AU - Groeneveld, Bob Sander
AU - Melles, Marijke
AU - Vehmeijer, Stephan
AU - Mathijssen, Nina
AU - Goossens, Richard
PY - 2019/1/1
Y1 - 2019/1/1
N2 - After a Total Hip Arthroplasty (THA), post-discharge contact moments with care providers may be scarce. Online resources may offer support, but Human Factors Engineering methods are needed to tailor these resources to patients’ varying post-surgery information needs. In order to evaluate tailored components in a web application and to refine guidelines for tailored Information Technology (IT) in healthcare, the authors developed a tailored web application for THA patients. The web application informs THA patients about recommended activity levels in the first months after surgery using individualized thresholds based on daily step counts. The feedback given by the application is designed in three variants that match characteristics from three different THA patient subgroups (profiles) defined in previous research. To investigate the use and evaluation of this application, a small-scale qualitative study (20 patients, 3 care providers) will be conducted. Results will include qualitative feedback from patients and care providers, as well as metrics describing participants’ use of the application. This paper discusses the study methodology, including the application used.
AB - After a Total Hip Arthroplasty (THA), post-discharge contact moments with care providers may be scarce. Online resources may offer support, but Human Factors Engineering methods are needed to tailor these resources to patients’ varying post-surgery information needs. In order to evaluate tailored components in a web application and to refine guidelines for tailored Information Technology (IT) in healthcare, the authors developed a tailored web application for THA patients. The web application informs THA patients about recommended activity levels in the first months after surgery using individualized thresholds based on daily step counts. The feedback given by the application is designed in three variants that match characteristics from three different THA patient subgroups (profiles) defined in previous research. To investigate the use and evaluation of this application, a small-scale qualitative study (20 patients, 3 care providers) will be conducted. Results will include qualitative feedback from patients and care providers, as well as metrics describing participants’ use of the application. This paper discusses the study methodology, including the application used.
UR - http://www.scopus.com/inward/record.url?scp=85068611800&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-24067-7_38
DO - 10.1007/978-3-030-24067-7_38
M3 - Conference contribution
SN - 9783030240660
VL - 1012
T3 - Advances in Intelligent Systems and Computing
SP - 334
EP - 341
BT - Health and Social Care Systems of the Future
A2 - Cotrim, Teresa Patrone
A2 - Serranheira, Florentino
A2 - Sousa, Paulo
A2 - Hignett, Sue
A2 - Albolino, Sara
A2 - Tartaglia, Riccardo
PB - Springer Verlag
T2 - International Conference on Healthcare Ergonomics and Patient Safety, HEPS 2019
Y2 - 3 July 2019 through 5 July 2019
ER -