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Using Smartphones to Capture Novel Recovery Metrics After Cancer Surgery.
Panda, Nikhil; Solsky, Ian; Huang, Emily J; Lipsitz, Stuart; Pradarelli, Jason C; Delisle, Megan; Cusack, James C; Gadd, Michele A; Lubitz, Carrie C; Mullen, John T; Qadan, Motaz; Smith, Barbara L; Specht, Michelle; Stephen, Antonia E; Tanabe, Kenneth K; Gawande, Atul A; Onnela, Jukka-Pekka; Haynes, Alex B.
Afiliação
  • Panda N; Ariadne Labs, Brigham and Women's Hospital, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Solsky I; Department of Surgery, Massachusetts General Hospital, Boston.
  • Huang EJ; Ariadne Labs, Brigham and Women's Hospital, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Lipsitz S; Montefiore Medical Center, Department of Surgery, Albert Einstein College of Medicine, Bronx, New York.
  • Pradarelli JC; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Delisle M; Ariadne Labs, Brigham and Women's Hospital, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Cusack JC; Ariadne Labs, Brigham and Women's Hospital, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Gadd MA; Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.
  • Lubitz CC; Ariadne Labs, Brigham and Women's Hospital, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
  • Mullen JT; Department of Surgery, Massachusetts General Hospital, Boston.
  • Qadan M; Department of Surgery, Massachusetts General Hospital, Boston.
  • Smith BL; Department of Surgery, Massachusetts General Hospital, Boston.
  • Specht M; Department of Surgery, Massachusetts General Hospital, Boston.
  • Stephen AE; Department of Surgery, Massachusetts General Hospital, Boston.
  • Tanabe KK; Department of Surgery, Massachusetts General Hospital, Boston.
  • Gawande AA; Department of Surgery, Massachusetts General Hospital, Boston.
  • Onnela JP; Department of Surgery, Massachusetts General Hospital, Boston.
  • Haynes AB; Department of Surgery, Massachusetts General Hospital, Boston.
JAMA Surg ; 155(2): 123-129, 2020 02 01.
Article em En | MEDLINE | ID: mdl-31657854
ABSTRACT
Importance Patient-generated health data captured from smartphone sensors have the potential to better quantify the physical outcomes of surgery. The ability of these data to discriminate between postoperative trends in physical activity remains unknown.

Objective:

To assess whether physical activity captured from smartphone accelerometer data can be used to describe postoperative recovery among patients undergoing cancer operations. Design, Setting, and

Participants:

This prospective observational cohort study was conducted from July 2017 to April 2019 in a single academic tertiary care hospital in the United States. Preoperatively, adults (age ≥18 years) who spoke English and were undergoing elective operations for skin, soft tissue, head, neck, and abdominal cancers were approached. Patients were excluded if they did not own a smartphone. Exposures Study participants downloaded an application that collected smartphone accelerometer data continuously for 1 week preoperatively and 6 months postoperatively. Main Outcomes and

Measures:

The primary end points were trends in daily exertional activity and the ability to achieve at least 60 minutes of daily exertional activity after surgery among patients with vs without a clinically significant postoperative event. Postoperative events were defined as complications, emergency department presentations, readmissions, reoperations, and mortality.

Results:

A total of 139 individuals were approached. In the 62 enrolled patients, who were followed up for a median (interquartile range [IQR]) of 147 (77-179) days, there were no preprocedural differences between patients with vs without a postoperative event. Seventeen patients (27%) experienced a postoperative event. These patients had longer operations than those without a postoperative event (median [IQR], 225 [152-402] minutes vs 107 [68-174] minutes; P < .001), as well as greater blood loss (median [IQR], 200 [35-515] mL vs 25 [5-100] mL; P = .006) and more follow-up visits (median [IQR], 2 [2-4] visits vs 1 [1-2] visits; P = .002). Compared with mean baseline daily exertional activity, patients with a postoperative event had lower activity at week 1 (difference, -41.6 [95% CI, -75.1 to -8.0] minutes; P = .02), week 3 (difference, -40.0 [95% CI, -72.3 to -3.6] minutes; P = .03), week 5 (difference, -39.6 [95% CI, -69.1 to -10.1] minutes; P = .01), and week 6 (difference, -36.2 [95% CI, -64.5 to -7.8] minutes; P = .01) postoperatively. Fewer of these patients were able to achieve 60 minutes of daily exertional activity in the 6 weeks postoperatively (proportions week 1, 0.40 [95% CI, 0.31-0.49]; P < .001; week 2, 0.49 [95% CI, 0.40-0.58]; P = .003; week 3, 0.39 [95% CI, 0.30-0.48]; P < .001; week 4, 0.47 [95% CI, 0.38-0.57]; P < .001; week 5, 0.51 [95% CI, 0.42-0.60]; P < .001; week 6, 0.73 [95% CI, 0.68-0.79] vs 0.43 [95% CI, 0.33-0.52]; P < .001). Conclusions and Relevance Smartphone accelerometer data can describe differences in postoperative physical activity among patients with vs without a postoperative event. These data help objectively quantify patient-centered surgical recovery, which have the potential to improve and promote shared decision-making, recovery monitoring, and patient engagement.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Convalescença / Esforço Físico / Acelerometria / Smartphone / Neoplasias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Convalescença / Esforço Físico / Acelerometria / Smartphone / Neoplasias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article