Acute Respiratory InfectionNCT04255303
Decreasing Antibiotic Prescribing in Acute Respiratory Infections Through Nurse Driven Clinical Decision Support
A study testing Integrated clinical prediction rule (iCPR) system (iCPR) in people with Acute Respiratory Infection, run by NYU Langone Health at 3 sites in United States.
Trial summary
This study evaluates the effects of a novel integrated clinical prediction tool on antibiotic prescription patterns of nurses for acute respiratory infections (ARIs). The intervention is an EHR-integrated risk calculator and order set to help guide appropriate, evidence-based antibiotic prescriptions for patients… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Acute Respiratory Infection
- What is being tested?
- Integrated clinical prediction rule (iCPR) system (iCPR)
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 347 participants
- Where
- 3 sitesUnited States
- Study dates
- 23 Feb 2022to 15 Dec 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Clinics:
- must be primary care and/or urgent care clinics
- should have a minimum of one registered nurse (RN) full time equivalents (FTE)
- Nurses :
- be licensed to see patients and prescribed and/or recommend prescriptions for patients
- work a minimum of 0.5 FTE to ensure that they are seeing sufficient numbers of patients to maintain competency
Show all 10Show fewer
- have access to the clinic EHR system, and use regularly as part of patient care
- Patients:
- patients must have been seen at a participating clinic with a complaint of cough or sore throat.
- Ages 3-70 will be included for sore throat and ages 18-70 for cough
Who cannot join
- are unable or unwilling to provide informed consent
- are unable to participate meaningfully in an intervention that involves self-monitoring using software available in English (e.g., due to uncorrected sight impairment, illiterate, non-English-speaking, dementia)
- clinics will be excluded if phone call triage of patients with sore throat and cough is not performed by RNs
- Nurses will be excluded if they do not work with the clinic EHR as part of their workflow
- Patients with a history of chronic lung disease or immunosuppression will be excluded since the CPRs were not validated in these groups
Trial locations and contacts
3 sites in 1 country.
United States3 sites
University of Wisconsin
Madison, Wisconsin, 53705
NYU Langone Health
New York, New York, 10016
University of Utah School of Medicine
Salt Lake City, Utah, 84112
About this study
Official title: Decreasing Antibiotic Prescribing in Acute Respiratory Infections Through Implementation of Nurse Driven Clinical Decision Support
This study evaluates the effects of a novel integrated clinical prediction tool on antibiotic prescription patterns of nurses for acute respiratory infections (ARIs). The intervention is an EHR-integrated risk calculator and order set to help guide appropriate, evidence-based antibiotic prescriptions for patients presenting with ARI symptoms.
Read the detailed description
The proposed project will fill a critical gap in the evidence base and answer the important question: can pivoting ARI CDS tools towards nurses overcome established implementation barriers to reducing antibiotic use? The proposal is highly innovative in three ways: It uses CDS tools to embed evidence-based risk stratification to enable nurse-led ARI management. It creates a nurse training program to support this nurse-led ARI treatment pathway. It will be evaluated and optimized using evidence-based implementation frameworks that will guide assessment of the fidelity, acceptability, adoption, cost, and sustainability of the tool. This will provide comprehensive implementation measures, formative and summative, and enable a rigorous understanding of barriers and facilitators to implementing nurse-led CDS tools for reducing antibiotic overprescribing. This study will provide much needed guidance on how to implement CDS-enabled, nurse-led ARI assessment and treatment to reduce antibiotic overprescribing.
- Conditions
- Acute Respiratory Infection
- Being tested
- Integrated clinical prediction rule (iCPR) system (iCPR)
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Integrated clinical prediction rule (iCPR) system (iCPR)Other
The iCPR tool consists of an electronic calculator that can be used to determine whether the patient is at low, intermediate or high risk for having the diagnosis and a bundled order set (called a "Smartset"). The iCPR tool will be made available directly within the Electronic Health Record (EHR) for Registered Nurses (RNs) who are seeing patients fall into the study categories. The iCPR tool through the use of order sets will guide the RN in the patient's care. The order set for patients at low risk for these diseases will recommend supportive care including over the counter cold remedies and pain relievers. The order set for patients at intermediate or high risk of these disease will recommend diagnostic tests (rapid strep antigen or CXR) to help determine if they have the disease. Based on the results of the diagnostic tests new order sets will recommend antibiotics or supportive care
| Study group | Role | What they receive |
|---|---|---|
| iCPR group | Experimental | Clinic personnel (Providers and Nurses) will receive online training that includes: 1) an overview of the project; 2) iCPR workflows including triage; 3) CPR component review and risk categories; 4) history and physical examination components of the CPRs. The online training will be followed by in-person training to reinforce the online training and teach additional skills. In-person training sessions led by study team will last approximately 60 minutes, and consist of four basic components: 1) a review of the iCPR ARI protocol and tools; 2) on-screen walk-throughs of common scenarios employing the new tools; 3) physical examination technique practice with simulated patients; A 60-minute in-person follow-up nurse training will take place 4-6 weeks after implementation of the intervention. Receives: Other: Integrated clinical prediction rule (iCPR) system (iCPR) |
| Control no intervention group | No intervention | standard care will continue as usual. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Number of Participants Who Perceive the iCPR Tool as Useful.
Participants will be interviewed to measure the usefulness of the iCPR tool in prescribing appropriate antibiotics.
Measured: Month 6
Change in proportion of Acute Respiratory Infection (ARI) encounters with inappropriate antibiotic prescribing
The number of Acute Respiratory Infection (ARI) encounters with inappropriate antibiotic prescription will be measured pre and post-intervention using EHR reports assessing ordering of antibiotics
Measured: Baseline, Month 36
Secondary outcomes (4)
Change in Job Satisfaction of RNs and physicians
Job satisfaction/ burnout of the RNs and physicians in enrolled clinics will be measured qualitatively with interviews at baseline, 6, and 12 months after implementation
Measured: Baseline, Month 6
Change in Job Satisfaction of RNs and physicians
Job satisfaction/ burnout of the RNs and physicians in enrolled clinics will be measured qualitatively with interviews at baseline, 6, and 12 months after implementation
Measured: Month 6, Month 12
Number of nurse triage encounters completed
Adoption of using iCPR tool will be measured by the number of nurse triage encounters completed through extracted EHR data.
Measured: Week 2
Number of patients requiring repeat healthcare visits
Adoption of using iCPR tool will be measured by the number of patients requiring repeat healthcare visits through extracted EHR data.
Measured: week 2
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Feb 2020
- Study start23 Feb 2022
- Primary completion15 Jun 2025
- Study completion15 Dec 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Acute Respiratory InfectionStudies of the same condition, open and under way.
- More trials run by NYU Langone HealthThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Enrolment
- 347 participants (actual)
Sponsor and investigators
- Lead sponsor
- NYU Langone Health
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Devin Mann, MD, Principal investigator, NYU Langone Health
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04255303
- Sponsor's protocol ID
- 19-01222
- Other IDs
- 2R01AI108680-07A1
- Status last verified
- Dec 2025
- First submitted
- 9 Jan 2020
- Last updated
- 2 Jan 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices).
Publications
Dauber-Decker KL, Feldstein D, Hess R, Mann D, Kim EJ, Gautam-Goyal P, Solomon J, Khan S, Malik F, Xu L, Huffman A, Smith PD, Halm W, Yuroff A, Richardson S. Snowball Group Usability Testing for Rapid and Iterative Multisite Tool Development: Method Development Study. JMIR Form Res. 2025 Feb 18;9:e55316. doi: 10.2196/55316.
PubMed 39964400Stevens ER, Xu L, Kwon J, Tasneem S, Henning N, Feldthouse D, Kim EJ, Hess R, Dauber-Decker KL, Smith PD, Halm W, Gautam-Goyal P, Feldstein DA, Mann DM. Barriers to Implementing Registered Nurse-Driven Clinical Decision Support for Antibiotic Stewardship: Retrospective Case Study. JMIR Form Res. 2024 May 23;8:e54996. doi: 10.2196/54996.
PubMed 38781006Stevens ER, Agbakoba R, Mann DM, Hess R, Richardson SI, McGinn T, Smith PD, Halm W, Mundt MP, Dauber-Decker KL, Jones SA, Feldthouse DM, Kim EJ, Feldstein DA. Reducing prescribing of antibiotics for acute respiratory infections using a frontline nurse-led EHR-Integrated clinical decision support tool: protocol for a stepped wedge randomized control trial. BMC Med Inform Decis Mak. 2023 Nov 14;23(1):260. doi: 10.1186/s12911-023-02368-0.
PubMed 37964232
Study at a glance
From the registry record, last updated by the sponsor on 2 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Decreasing Antibiotic Prescribing in Acute Respiratory Infections Through Implementation of Nurse Driven Clinical Decision Support
- ClinicalTrials.gov ID
- NCT04255303
- Acronym / sponsor ID
- 19-01222
- Conditions
- Acute Respiratory Infection
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 347 participants (actual)
- Lead sponsor
- NYU Langone HealthUniversity, hospital or other
- Collaborators
- National Institute of Allergy and Infectious Diseases (NIAID)
- Study start
- 23 Feb 2022 (actual)
- Primary completion
- 15 Jun 2025 (actual)
- Study completion
- 15 Dec 2025 (actual)
- First posted
- 5 Feb 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study evaluates the effects of a novel integrated clinical prediction tool on antibiotic prescription patterns of nurses for acute respiratory infections (ARIs). The intervention is an EHR-integrated risk calculator and order set to help guide appropriate, evidence-based antibiotic prescriptions for patients presenting with ARI symptoms.
Detailed description
The proposed project will fill a critical gap in the evidence base and answer the important question: can pivoting ARI CDS tools towards nurses overcome established implementation barriers to reducing antibiotic use? The proposal is highly innovative in three ways: It uses CDS tools to embed evidence-based risk stratification to enable nurse-led ARI management. It creates a nurse training program to support this nurse-led ARI treatment pathway. It will be evaluated and optimized using evidence-based implementation frameworks that will guide assessment of the fidelity, acceptability, adoption, cost, and sustainability of the tool. This will provide comprehensive implementation measures, formative and summative, and enable a rigorous understanding of barriers and facilitators to implementing nurse-led CDS tools for reducing antibiotic overprescribing. This study will provide much needed guidance on how to implement CDS-enabled, nurse-led ARI assessment and treatment to reduce antibiotic overprescribing.
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Crossover
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| iCPR group | Experimental | Other: Integrated clinical prediction rule (iCPR) system (iCPR)Clinic personnel (Providers and Nurses) will receive online training that includes: 1) an overview of the project; 2) iCPR workflows including triage; 3) CPR component review and risk categories; 4) history and physical examination components of the CPRs. The online training will be followed by in-person training to reinforce the online training and teach additional skills. In-person training sessions led by study team will last approximately 60 minutes, and consist of four basic components: 1) a review of the iCPR ARI protocol and tools; 2) on-screen walk-throughs of common scenarios employing the new tools; 3) physical examination technique practice with simulated patients; A 60-minute in-person follow-up nurse training will take place 4-6 weeks after implementation of the intervention. |
| Control no intervention group | No intervention | –standard care will continue as usual. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (10 listed)
- must be primary care and/or urgent care clinics
- should have a minimum of one registered nurse (RN) full time equivalents (FTE)
- be licensed to see patients and prescribed and/or recommend prescriptions for patients
- work a minimum of 0.5 FTE to ensure that they are seeing sufficient numbers of patients to maintain competency
- have access to the clinic EHR system, and use regularly as part of patient care
Key exclusion criteria (5 listed)
- are unable or unwilling to provide informed consent
- are unable to participate meaningfully in an intervention that involves self-monitoring using software available in English (e.g., due to uncorrected sight impairment, illiterate, non-English-speaking, dementia)
- clinics will be excluded if phone call triage of patients with sore throat and cough is not performed by RNs
- Nurses will be excluded if they do not work with the clinic EHR as part of their workflow
- Patients with a history of chronic lung disease or immunosuppression will be excluded since the CPRs were not validated in these groups
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Integrated clinical prediction rule (iCPR) system (iCPR)The iCPR tool consists of an electronic calculator that can be used to determine whether the patient is at low, intermediate or high risk for having the diagnosis and a bundled order set (called a "Smartset"). The iCPR tool will be made available directly within the Electronic Health Record (EHR) for Registered Nurses (RNs) who are seeing patients fall into the study categories. The iCPR tool through the use of order sets will guide the RN in the patient's care. The order set for patients at low risk for these diseases will recommend supportive care including over the counter cold remedies and pain relievers. The order set for patients at intermediate or high risk of these disease will recommend diagnostic tests (rapid strep antigen or CXR) to help determine if they have the disease. Based on the results of the diagnostic tests new order sets will recommend antibiotics or supportive care | Other | iCPR group |
Primary outcome
Number of Participants Who Perceive the iCPR Tool as Useful.
Time frame: Month 6
Participants will be interviewed to measure the usefulness of the iCPR tool in prescribing appropriate antibiotics.
Change in proportion of Acute Respiratory Infection (ARI) encounters with inappropriate antibiotic prescribing
Time frame: Baseline, Month 36
The number of Acute Respiratory Infection (ARI) encounters with inappropriate antibiotic prescription will be measured pre and post-intervention using EHR reports assessing ordering of antibiotics
4 secondary outcomes
Change in Job Satisfaction of RNs and physicians
Time frame: Baseline, Month 6
Change in Job Satisfaction of RNs and physicians
Time frame: Month 6, Month 12
Number of nurse triage encounters completed
Time frame: Week 2
Number of patients requiring repeat healthcare visits
Time frame: week 2
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 2 Jan 2026.
- Derived from this study: PubMed 39964400Dauber-Decker KL, Feldstein D, Hess R, Mann D, Kim EJ, Gautam-Goyal P, Solomon J, Khan S, Malik F, Xu L, Huffman A, Smith PD, Halm W, Yuroff A, Richardson S. Snowball Group Usability Testing for Rapid and Iterative Multisite Tool Development: Method Development Study. JMIR Form Res. 2025 Feb 18;9:e55316. doi: 10.2196/55316.
- Derived from this study: PubMed 38781006Stevens ER, Xu L, Kwon J, Tasneem S, Henning N, Feldthouse D, Kim EJ, Hess R, Dauber-Decker KL, Smith PD, Halm W, Gautam-Goyal P, Feldstein DA, Mann DM. Barriers to Implementing Registered Nurse-Driven Clinical Decision Support for Antibiotic Stewardship: Retrospective Case Study. JMIR Form Res. 2024 May 23;8:e54996. doi: 10.2196/54996.
- Derived from this study: PubMed 37964232Stevens ER, Agbakoba R, Mann DM, Hess R, Richardson SI, McGinn T, Smith PD, Halm W, Mundt MP, Dauber-Decker KL, Jones SA, Feldthouse DM, Kim EJ, Feldstein DA. Reducing prescribing of antibiotics for acute respiratory infections using a frontline nurse-led EHR-Integrated clinical decision support tool: protocol for a stepped wedge randomized control trial. BMC Med Inform Decis Mak. 2023 Nov 14;23(1):260. doi: 10.1186/s12911-023-02368-0.
- Individual participant dataSharing planned: Yes. Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices).
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Devin Mann, MD principal investigator
NYU Langone Health
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Integrated clinical prediction rule (iCPR) system (iCPR) in people with Acute Respiratory Infection, run by NYU Langone Health at 3 sites in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 10 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 2 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Number of Participants Who Perceive the iCPR Tool as Useful. (time frame: Month 6). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04255303, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 2 Jan 2026.