Assessing the Impact of Patient-Facing Mobile Health Technology on Patient Outcomes: Retrospective Observational Cohort Study

Despite the growth of and media hype about mobile health (mHealth), there is a paucity of literature supporting the effectiveness of widespread implementation of mHealth technologies. This study aimed to assess whether an innovative mHealth technology system with several overlapping purposes can imp...

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Veröffentlicht in:JMIR mHealth and uHealth 2020-06, Vol.8 (6), p.e19333
Hauptverfasser: Bruce, Courtenay R, Harrison, Patricia, Nisar, Tariq, Giammattei, Charlie, Tan, Neema M, Bliven, Caitlin, Shallcross, Jamie, Khleif, Aroub, Tran, Nhan, Kelkar, Sayali, Tobias, Noreen, Chavez, Ana E, Rivera, Dana, Leong, Angela, Romano, Angela, Desai, S Nicholas, Sol, Josh R, Gutierrez, Kayla, Rappel, Christopher, Haas, Eric, Zheng, Feibi, Park, Kwan J, Jones, Stephen, Barach, Paul, Schwartz, Roberta
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Sprache:eng
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Zusammenfassung:Despite the growth of and media hype about mobile health (mHealth), there is a paucity of literature supporting the effectiveness of widespread implementation of mHealth technologies. This study aimed to assess whether an innovative mHealth technology system with several overlapping purposes can impact (1) clinical outcomes (ie, readmission rates, revisit rates, and length of stay) and (2) patient-centered care outcomes (ie, patient engagement, patient experience, and patient satisfaction). We compared all patients (2059 patients) of participating orthopedic surgeons using mHealth technology with all patients of nonparticipating orthopedic surgeons (2554 patients). The analyses included Wilcoxon rank-sum tests, Kruskal-Wallis tests for continuous variables, and chi-square tests for categorical variables. Logistic regression models were performed on categorical outcomes and a gamma-distributed model for continuous variables. All models were adjusted for patient demographics and comorbidities. The inpatient readmission rates for the nonparticipating group when compared with the participating group were higher and demonstrated higher odds ratios (ORs) for 30-day inpatient readmissions (nonparticipating group 106/2636, 4.02% and participating group 54/2048, 2.64%; OR 1.48, 95% CI 1.03 to 2.13; P=.04), 60-day inpatient readmissions (nonparticipating group 194/2636, 7.36% and participating group 85/2048, 4.15%; OR 1.79, 95% CI 1.32 to 2.39; P
ISSN:2291-5222
2291-5222
DOI:10.2196/19333