The overall goal of the project is to reduce pain-related, 30-day readmission rates for sickle cell disease (SCD) patients. The investigators want to see if a mobile phone application (app) can help decrease the need for repeat admission to the hospital because of sickle cell pain.
Pain is the main reason why SCD patients are admitted and readmitted to the hospital. In fact, readmission rates of SCD patients are higher than those of asthmatics and diabetics. In order to reduce 30-day hospital readmission rates and improve patient care quality, the Affordable Care Act and Centers for Medicare and Medicaid Services have established the Readmissions Reduction Program. In keeping with this effort, the investigators propose a methodology and supporting technology that has the potential to change the way SCD patients are monitored after hospital discharge and in turn, decrease readmission rates. This methodology also has the potential to enhance the quality of life of SCD patients by improving patient reporting, self-efficacy, and increasing patient/provider engagement when there is worsening pain and increased admission/readmission risk. This software platform uses validated Patient Reported Outcome Measurement Information System (PROMIS) measures to remotely monitor SCD patients' pain and related outcomes after hospital discharge. With this initial study, the investigators propose to use this monitoring platform to identify the predictors of readmission, to develop a readmission prediction engine, and to design the next version of the app with built in interventions to address those readmission risks. This monitoring platform could also increase healthcare provider engagement when there is a worsening of patients' pain and/or an increased risk of readmission. In order to build and optimize this monitoring platform, the investigators have assembled a team of engineers, hematologists, pain researchers, and statisticians that have worked together, and who collectively have the expertise to develop and test the feasibility and predictive value of the application in a large population of SCD patients.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
OTHER
Masking
At hospital discharge, the investigators will collect baseline surveys, a blood sample, and download the PROMIS for Pain Management App onto the subject's mobile device. For five consecutive weeks, PROMIS measures will be collected through weekly surveys. The investigators plan to compensate patients for their time. Patients will come back to the hospital after 35 days for a final blood draw and set of surveys. In the event a patient gets readmitted, the investigators will record that admission. The investigators will also collect Proxy PROMIS measures from parents of participants between the ages of 8 and 17-years who have agreed to participate in the study. It is the goal of the investigators to engage one of the parents in the reporting of weekly validated Proxy PROMIS measures.
Children's National Hospital
Washington D.C., District of Columbia, United States
Readmission rate
The investigators want to determine if the use of this mobile app by itself reduces readmission rates. The investigators will compare the readmission rate of patients who use this mobile app with those who do not.
Time frame: 35 days
Readmission risk
The rate of hospital readmission will be estimated by time periods (e.g., 1, 2, 3, and 4 weeks after discharge).
Time frame: 35 days
Patient Compliance
To evaluate our app design features, the investigators will track each user's interaction with the app for post-analysis to determine time spent answering the questions and the value of reminders. It is the investigators intent to determine if features will be used as intended by the app design.
Time frame: 35 days
Patient Usability
At the end of five weeks the investigators will administer a survey to parents and participants to determine the usability of this app.This information will lead to improvements on the design of future iterations of the app.
Time frame: 35 days
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
NONE
Enrollment
150