Diabetes Mellitus, Type 2 Clinical Trial
— PREVENTOfficial title:
Improving Patient Prioritization During Hospital-homecare Transition: A Mixed Methods Study of a Clinical Decision Support Tool
Verified date | February 2024 |
Source | Columbia University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This research work is focused on building and evaluating one of the first evidence-based clinical decision support tools for homecare in the United States. The results of this study have the potential to standardize and individualize nursing decision making using cutting-edge technology and to improve patient outcomes in the homecare setting.
Status | Completed |
Enrollment | 2094 |
Est. completion date | December 15, 2023 |
Est. primary completion date | December 15, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Aim 1: Inclusion criteria: 1. being a patient of either NewYork-Presbyterian (NYP)/Columbia University Irving Medical Center or NewYork-Presbyterian Allen Hospital; 2. being referred to Visiting Nurse Services of New York (VNSNY) homecare services 3. 18 years old or older. Exclusion criteria: All other patients are going to be excluded. Aim 2 : Inclusion criteria: 1. working as an admission staff for VNSNY 2. 18 years old or older. Exclusion criteria: All other staff members are going to be excluded. For both study aims, there will be no exclusion based on sex, race, or ethnic group. |
Country | Name | City | State |
---|---|---|---|
United States | Columbia University School of Nursing | New York | New York |
United States | Visiting Nurse Service of New York | New York | New York |
Lead Sponsor | Collaborator |
---|---|
Columbia University | National Institute of Nursing Research (NINR), Visiting Nurse Service of New York |
United States,
Bakken S, Ruland CM. Translating clinical informatics interventions into routine clinical care: how can the RE-AIM framework help? J Am Med Inform Assoc. 2009 Nov-Dec;16(6):889-97. doi: 10.1197/jamia.M3085. Epub 2009 Aug 28. — View Citation
Bowles KH, Ratcliffe S, Potashnik S, Topaz M, Holmes J, Shih NW, Naylor MD. Using Electronic Case Summaries to Elicit Multi-Disciplinary Expert Knowledge about Referrals to Post-Acute Care. Appl Clin Inform. 2016 May 18;7(2):368-79. doi: 10.4338/ACI-2015-11-RA-0161. eCollection 2016. — View Citation
O'Connor M, Hanlon A, Mauer E, Meghani S, Masterson-Creber R, Marcantonio S, Coburn K, Van Cleave J, Davitt J, Riegel B, Bowles KH, Keim S, Greenberg SA, Sefcik JS, Topaz M, Kong D, Naylor M. Identifying distinct risk profiles to predict adverse events among community-dwelling older adults. Geriatr Nurs. 2017 Nov-Dec;38(6):510-519. doi: 10.1016/j.gerinurse.2017.03.013. Epub 2017 May 4. — View Citation
Topaz M, Shalom E, Masterson-Creber R, Rhadakrishnan K, Monsen KA, Bowles KH. Developing nursing computer interpretable guidelines: a feasibility study of heart failure guidelines in homecare. AMIA Annu Symp Proc. 2013 Nov 16;2013:1353-61. eCollection 2013. — View Citation
Topaz M, Trifilio M, Maloney D, Bar-Bachar O, Bowles KH. Improving patient prioritization during hospital-homecare transition: A pilot study of a clinical decision support tool. Res Nurs Health. 2018 Oct;41(5):440-447. doi: 10.1002/nur.21907. Epub 2018 Sep 11. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | To learn if using PREVENT tool results in decreased incidence of rehospitalization [defined as recurrent hospital admission within 60 days from hospital discharge] | Patient outcomes include rehospitalization measure within 60 days after hospital discharge. The hypothesis is that using the PREVENT tool will result in decreased incidence of rehospitalization. Rehospitalization information will be extracted from the New York Regional Health Information Exchange (RHIO) database. | within 60 days after hospital discharge | |
Primary | To learn if using PREVENT tool results in high nurses' system usability perception measured by the System Usability Scale (SUS). | Nurses' usability perception of the clinical decision support tool (PREVENT) will be assessed by using he System Usability Scale (SUS). | 30-60 days after clinical decision support tool (PREVENT) implementation |
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