Over 27 million Americans are diagnosed with Type 2 Diabetes Mellitus (T2DM), and their health outcomes, including hospitalization, emergency department use, and hospital readmission, are largely driven by social determinants; diabetes complications are largely attributable to unmet health-related social needs. Investigators will conduct a pilot feasibility trial of the Re-Engineered Discharge for Diabetes-Computer Adaptive Testing (REDD-CAT) system to inform the design of a future, fully-powered randomized controlled trial. REDD-CAT will allow clinical staff to preemptively link patients with community-based social services tailored to meet their unique needs in order to reduce avoidable hospitalization and emergency department visits.
Investigators will conduct a pilot study with 30 patients to evaluate the feasibility and limited efficacy of the REDD-CAT social service screening and referral intervention to inform the design of a fully-powered trial. The study will determine the feasibility of delivering the REDD-CAT intervention in a clinical, point-of-care context to inform the design and implementation strategy for a fully powered clinical trial. It is not the purpose of this pilot clinical trial to determine sample size for a larger, fully-powered trial, as investigators already have data from prior readmissions research supporting sample size and power estimates using readmission rates as a primary outcome measure. After obtaining informed consent from a participant and gathering baseline data, the study research assistant (RA) will send a flag in the electronic medical record (EMR) to notify the nurse care manager that a patient has enrolled in the REDD-CAT pilot. The nurse care manager will then incorporate the administration of the REDD-CAT to the patient as part of standard care discharge planning. He or she will utilize the REDD-CAT results report as a guideline for generating appropriate referrals to address unmet social needs identified. To inform secondary measure selection for a future larger study, the RA will administer to enrolled patients a number of standardized measures, including the PHQ-9, GAD-7, Ways of Coping Questionnaire, and Diabetes Distress Scale. All baseline measures will be re-administered at 30-day follow-up to patients via the telephone. Data on hospitalizations and ED visits during the 30-day period post-discharge will be obtained from patients' medical records, and all data gathered will be stored in a REDCap electronic database.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SCREENING
Masking
NONE
After obtaining informed consent from a participant and gathering baseline data, the study RA will send a flag in the EMR to notify the nurse care manager that a patient has enrolled in the REDD-CAT pilot. The nurse care manager will then incorporate the administration of the REDD-CAT to the patient as part of standard care discharge planning. He or she will utilize the REDD-CAT results report as a guideline for generating appropriate referrals to address unmet social needs identified.
Boston Medical Center
Boston, Massachusetts, United States
Feasibility - Recruitment potential: percentage of eligible patients willing to enroll in the study
Recruitment potential will be measured according to the percentage of eligible patients willing to enroll in the study. The source of this outcome data will be the hospital census and recruitment data.
Time frame: 6 months
Feasibility - Participant burden: time required for participants to complete data collection measures
Participant burden will be measured according to the time required for participants to complete data collection measures; the data source will be data collected by research assistants
Time frame: 6 months
Feasibility - Subject retention: percentage of patients who complete the 30-day follow-up time point
Retention will be measured according to the percentage of patients who complete the 30-day follow-up time point; study records will provide this data.
Time frame: 30 days
Feasibility - Implementation fidelity: percentage of indicated referrals that are made
Implementation fidelity will be measured according to the percentage of indicated referrals that are made; discharge records and electronic medical records will provide this data.
Time frame: 30 days
Limited Efficacy - Change in coping: Ways of Coping scale
Coping will be assessed using the Ways of Coping scale which is a 66 item scale with potential responses from 1 to 4, with higher scores indicative of more frequent use of a particular strategy.
Time frame: baseline, 30 days
Limited Efficacy - Change in diabetes related distress: Diabetes Distress scale
Diabetes related stress will be assessed using the Diabetes Distress scale which comprises 17 items with potential responses ranging from 1 to 6, with lower scores indicating that an item is less of a problem and higher scores indicating that an item poses a greater problem.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: baseline, 30 days
Limited Efficacy - Change in depression: Patient Health Questionnaire (PHQ-9)
Change in depression will be assessed using the Patient Health Questionnaire (PHQ-9), which is a 9-item questionnaire that asks how often an individual has been bothered by a given item over the last 2 weeks. Scores range from 0 ("not at all") to 3 ("nearly every day.") A higher overall score indicates a greater level of depression.
Time frame: baseline, 30 days
Limited Efficacy - Change in anxiety: The Generalized Anxiety Disorder 7 (GAD-7)
The Generalized Anxiety Disorder 7 (GAD-7) will be used to assess changes in anxiety. The GAD-7 is a 7-item questionnaire that asks how often an individual has been bothered by a given item over the last 2 weeks. Scores range from 0 ("not at all") to 3 ("nearly every day.") A higher overall score indicates a greater level of anxiety.
Time frame: baseline, 30 days
Limited Efficacy - 30-Day readmission rate
30-Day readmission rate will be measured according to the percent difference between readmission rates for a historical control versus pilot readmission rates; this data will be collected via the EMR and clinical data warehouse
Time frame: 30 days