Recruitment

Recruitment Status
Not yet recruiting
Estimated Enrollment
Same as current

Summary

Conditions
  • Congestive Heart Failure
  • Diabetes Mellitus - Type 2
  • Dyspnea
  • Obstructive Pulmonary Disease
  • Renal Failure
Type
Interventional
Phase
Not Applicable
Design
Allocation: N/AIntervention Model: Single Group AssignmentIntervention Model Description: To examine the study aims, the researchers are using an embedded mixed methods study design. The researchers will conduct pre- and post intervention trial of clinical decision support tool PREVENT's integration into clinical practice using homecare admissions from two New York City urban hospitals serving diverse racial and ethnic population. Quantitative methods, including logistic regression and survival analysis with propensity score matching, will be used to evaluate the effects of the tool on process and patient outcomes. Qualitative methods will be used to match the quantitative questions and provide an in depth insight into homecare admission processes using think-aloud simulations and interviews with homecare admission staff.Masking: None (Open Label)Primary Purpose: Screening

Participation Requirements

Age
Between 18 years and 125 years
Gender
Both males and females

Description

Each year, more than 5 million patients are admitted to the approximately 12,000 homecare agencies across the United States. About 20% of homecare patients are rehospitalized during the homecare episode, with as many as 68% of these rehospitalizations occurring within the first two weeks of services...

Each year, more than 5 million patients are admitted to the approximately 12,000 homecare agencies across the United States. About 20% of homecare patients are rehospitalized during the homecare episode, with as many as 68% of these rehospitalizations occurring within the first two weeks of services. A significant portion of these rehospitalizations may be prevented by timely and appropriately targeted allocation of homecare services. The first homecare nursing visit is one of the most critical steps of the homecare episode. This visit includes an examination of the home environment, a discussion regarding whether a caregiver is present, an assessment of the patient's capacity for self-care, and medication reconciliation. A unique care plan is created based on this evaluation of the patient's needs. Hence, appropriate timing of the first visit is crucial, especially for patients with urgent healthcare needs. However, nurses often have very limited and inaccurate information about incoming patients and patient priority decisions vary significantly between nurses. The investigators developed an innovative decision support tool called "Priority for the First Nursing Visit Tool" (PREVENT) to assist nurses in prioritizing patients in need of immediate first homecare nursing visits. In a recent efficacy pilot study of PREVENT, high-risk patients received their first homecare nursing visit a half day sooner as compared to the control group, and 60-day rehospitalizations decreased by almost half as compared to the control group. The proposed study assembles a strong interdisciplinary team of experts in health informatics, nursing, homecare, and sociotechnical disciplines to evaluate PREVENT in a pre-post intervention effectiveness study. Specifically, the study aims are: Aim 1) Evaluate the effectiveness of the PREVENT tool on process and patient outcomes. Using survival analysis and logistic regression with propensity score matching the researchers will test the following hypotheses: Compared to not using the tool in the pre-intervention phase, when homecare clinicians use the PREVENT tool, high risk patients in the intervention phase will: a) receive more timely first homecare visits and b) have decreased incidence of rehospitalization and have decreased emergency department (ED) use within 60 days. Aim 2) Explore PREVENT's reach and adoption by the homecare admission staff and describe the tool's implementation during homecare admission. Aim 2 will be assessed using mixed methods including homecare admission staff interviews, think-aloud simulations, and analysis of staffing and other relevant data. This innovative study addresses several National Institute of Nursing Research strategic priorities, such as promoting innovation and using technology to improve health. Mixed methods will enable us to gain in-depth understanding of the complex socio-technological aspects of hospital-homecare transition.

Tracking Information

NCT #
NCT04136951
Collaborators
  • Visiting Nurse Service of New York
  • National Institute of Nursing Research (NINR)
Investigators
Principal Investigator: Maxim Topaz, PhD Associate Professor of Nursing at CUMC