Acute Respiratory Infections (ARIs)BEARINCT01454947
Use of Behavioral Economics to Improve Treatment of Acute Respiratory Infections (Main Study)
A study testing Clinical Decision Support (CDS): Accountable Justifications, Audit and Feedback: Peer Comparison and CDS Order Sets: Suggested Alternatives in people with Acute Respiratory Infections (ARIs), run by University of Southern California at 55 sites in United States.
Trial summary
Bacteria resistant to antibiotic therapy are a major public health problem. The evolution of multi-drug resistant pathogens may be encouraged by provider prescribing behavior. Inappropriate use of antibiotics for nonbacterial infections and overuse of broad spectrum antibiotics can lead to the development of resistant… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Acute Respiratory Infections (ARIs)
- What is being tested?
- Clinical Decision Support (CDS): Accountable Justifications, Audit and Feedback: Peer Comparison and CDS Order Sets: Suggested Alternatives
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 248 participants
- Where
- 55 sitesUnited States
- Study dates
- Aug 2011to Sep 2014
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
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
- A practicing attending physician or advanced practice nurse ("provider") at a participating clinic in 2011-2013 who sees acute respiratory infection patients.
Who cannot join
- None.
Trial locations and contacts
55 sites in 1 country.
55 sites in 1 country
United States55 sites
Altamed Anaheim Lincoln
Anaheim, California, 92801
Altamed Anaheim West
Anaheim, California, 92801
Altamed Bell Clinic
Bell, California, 90201
Brigham and Women's Primary Care Associates at Foxborough
Boston, Massachusetts, 02035
MGH Downtown
Boston, Massachusetts, 02108
Mass General Medial Group
Boston, Massachusetts, 02114
MGH Beacon Hill
Boston, Massachusetts, 02114
MGH Senior Health
Boston, Massachusetts, 02114
Women's Health Associates
Boston, Massachusetts, 02114
Brigham Circle Medical Associates
Boston, Massachusetts, 02115
Brigham Internal Medicine Associates
Boston, Massachusetts, 02115
Spanish Clinic
Boston, Massachusetts, 02115
MGH Back Bay
Boston, Massachusetts, 02228
Brigham and Women's Primary Care Associates of Brookline
Brookline, Massachusetts, 02446
MGH Charlestown HealthCare Center
Charlestown, Massachusetts, 02129
MGH Chelsea HealthCare Center
Chelsea, Massachusetts, 02150
Brigham and Women's Physician Group
Chestnut Hill, Massachusetts, 02467
Gretchen and Edward Fish Center for Women's Health
Chestnut Hill, Massachusetts, 02467
Altamed Mobile Unit Primary Care
Commerce, California, 90040
Altamed DVL El Monte
El Monte, California, 91731
Altamed El Monte Clinic
El Monte, California, 91731
Everett Family Practice
Everett, Massachusetts, 02149
Altamed Garden Grove Harbor
Garden Grove, California, 92840
Altamed Huntington Beach Clinic
Huntington Beach, California, 92647
Altamed PACE Rugby
Huntington Park, California, 90255
Brigham Primary Physicians at Faulkner
Jamaica Plain, Massachusetts, 02130
Brookside Community Health Center
Jamaica Plain, Massachusetts, 02130
Faulkner Community Physicians
Jamaica Plain, Massachusetts, 02130
Southern Jamaica Plain Health Center
Jamaica Plain, Massachusetts, 02130
The Children's Clinic Family Health Center at Cesar Chavez Elementary School
Long Beach, California, 90802
The Children's Clinic Family Health Center at Hamilton Middle School
Long Beach, California, 90805
The S. Mark Taper Foundation Children's Clinic Family Health Center
Long Beach, California, 90806
The Children's Clinic at the Long Beach Multi-Service Center for the Homeless
Long Beach, California, 90813
The Vasek Polak Children's Clinic Family Health Center
Long Beach, California, 90813
Altamed PACE Grand Plaza
Los Angeles, California, 90012
Altamed William Mead Homes
Los Angeles, California, 90012
Altamed Commerce Clinic
Los Angeles, California, 90022
Altamed DVL Commerce
Los Angeles, California, 90022
Altamed PACE Pomona
Los Angeles, California, 90022
Altamed Boyle Heights Clinic
Los Angeles, California, 90023
Altamed Estrada Courts
Los Angeles, California, 90023
Altamed Ramona Gardens
Los Angeles, California, 90023
AltaMed 1st St Boyle Heights Clinic
Los Angeles, California, 90033
Altamed Zonal Clinic
Los Angeles, California, 90033
Altamed Montebello Clinic
Montebello, California, 90640
Brigham and Women's Primary Care Associates of Newton Corner
Newton, Massachusetts, 02458
Altamed El Modena Clinic
Orange, California, 92869
Altamed Pico Clinic
Pico Rivera, California, 90060
Altamed DVL Pico
Pico Rivera, California, 90660
Mass General Revere HealthCare Center
Revere, Massachusetts, 02151
Altamed Santa Ana Main
Santa Ana, California, 92701
Altamed Clinic For Women
Santa Ana, California, 92706
Altamed Santa Ana Broadway
Santa Ana, California, 92707
Altamed Santa Ana Central
Santa Ana, California, 92707
Mass General West Medical Group
Waltham, Massachusetts, 02451
About this study
Bacteria resistant to antibiotic therapy are a major public health problem. The evolution of multi-drug resistant pathogens may be encouraged by provider prescribing behavior. Inappropriate use of antibiotics for nonbacterial infections and overuse of broad spectrum antibiotics can lead to the development of resistant strains. Though providers are adequately trained to know when antibiotics are and are not comparatively effective, this has not been sufficient to affect critical provider practices.
The intent of this study is to apply behavioral economic theory to reduce the rate of antibiotic prescriptions for acute respiratory diagnoses for which guidelines do not call for antibiotics. Specifically targeted are infections that are likely to be viral.
Read more
The objective of this study is to improve provider decisions around treatment of acute respiratory infections.
The participants are practicing attending physicians or advanced practice nurses (i.e. providers) at participating clinics who see acute respiratory infection patients. A maximum of 550 participants will be recruited for this study.
Providers consenting to participate will fill out a baseline questionnaire online. Subsequent to baseline data collection and enrollment, participating clinic sites will be randomized to the study arms, as described below.
There will be a control arm, with clinic sites randomized in a multifactorial design to up to three interventions that leverage the electronic medical record: Order Sets that are triggered by electronic health record (EHR) workflow containing exclusively guideline concordant choices (SA, for Suggested Alternatives); Accountable Justifications triggered by discordant prescriptions that populate the note with provider's rationale for guideline exceptions (AJ); and performance feedback that benchmarks providers' own performance to that of their peers (PC, for Peer Comparisons).
The outcomes of interest are antibiotic prescribing patterns, including prescribing rates and changes in prescribing rates over time.
The intervention period will be over one year, with a one-year follow up period to measure persistence of the effect after EHR features are returned to the original state and providers no longer receive email alerts.
Read the detailed description
Each consented provider will be randomized to 1 of 8 cells in a factorial design with equal probability. If results of retrospective data analysis imply that design will be improved by stratification, randomization will be stratified by factors that could influence outcomes.
Data will be collected from the clinics' Enterprise Data Warehouses which store copies of data recorded in the electronic health record. Data elements from qualifying office visits will be collected from coded portions of the electronic health record.
An encounter is eligible for intervention if the patient's diagnosis is in the selected group of acute respiratory infections. The intervention EHR functions will be triggered when clinicians initiate an antibiotic prescription or enter a diagnosis for an acute respiratory infection that has a defined Order Set. If an antibiotic from a list of frequently misprescribed antibiotics is ordered and a diagnosis has not yet been entered, providers will be prompted to enter a diagnosis. If the diagnosis entered is acute nasopharyngitis; acute laryngopharyngitis/acute upper respiratory infection; acute bronchitis; bronchitis not specified as acute or chronic; or flu; the interventions will be triggered. The diagnosis-appropriate order set will pop-up for providers in the SA arm, while clinicians randomized to the AJ arm will receive an alert and be required to enter a brief statement justifying their antibiotic prescription if antibiotics are not indicated for the diagnosis entered. This note will then be added to the patient's medical record.
Clinicians randomized to the Peer Comparison condition will receive email updates about their antibiotic prescribing practices relative to other clinicians in their practice.
- Conditions
- Acute Respiratory Infections (ARIs)
- Being tested
- Clinical Decision Support (CDS): Accountable Justifications, Audit and Feedback: Peer Comparison, CDS Order Sets: Suggested Alternatives
- Keywords
- Antibiotics, Inappropriate Prescribing, Respiratory Tract Infections, Behavioral Research
- Medical subject headings
- Respiratory Tract Infections
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Clinical Decision Support (CDS): Accountable JustificationsBehavioural
Also called AJ, Accountable Justification
Accountable Justifications triggered by discordant prescriptions that populate the electronic health record (EHR) note with provider's rationale for guideline exceptions (AJ).
Audit and Feedback: Peer ComparisonBehavioural
Also called PC, Peer Comparison
Performance feedback that benchmarks providers' own performance to that of their peers (PC, for Peer Comparison).
CDS Order Sets: Suggested AlternativesBehavioural
Also called SA, Suggested Alternatives
Order Sets that are triggered by EHR workflow containing exclusively guideline concordant choices (SA, for Suggested Alternatives).
| Study group | Role | What they receive |
|---|---|---|
| SA, AJ, PC | Experimental | Participants are given all 3 interventions. Receives: Behavioral: Clinical Decision Support (CDS): Accountable Justifications; Behavioral: Audit and Feedback: Peer Comparison; Behavioral: CDS Order Sets: Suggested Alternatives |
| SA, AJ | Experimental | Participants receive the Suggested Alternatives and Accountable Justification interventions, but not the Peer Comparison intervention. Receives: Behavioral: Clinical Decision Support (CDS): Accountable Justifications; Behavioral: CDS Order Sets: Suggested Alternatives |
| SA, PC | Experimental | Participants receive the Suggested Alternative and Peer Comparison interventions, but not the Accountable Justification intervention. Receives: Behavioral: Audit and Feedback: Peer Comparison; Behavioral: CDS Order Sets: Suggested Alternatives |
| AJ, PC | Experimental | Participants receive the Accountable Justification and Peer Comparison interventions, but not the Suggested Alternative intervention. Receives: Behavioral: Clinical Decision Support (CDS): Accountable Justifications; Behavioral: Audit and Feedback: Peer Comparison |
| Peer Comparison (PC) | Experimental | Participants receive the Peer Comparison intervention, but do not receive the Suggested Alternatives or Accountable Justification interventions. Receives: Behavioral: Audit and Feedback: Peer Comparison |
| Suggested Alternatives (SA) | Experimental | Participants receive the Suggested Alternatives intervention, but not the Accountable Justification or Peer Comparison interventions. Receives: Behavioral: CDS Order Sets: Suggested Alternatives |
| Accountable Justification (AJ) | Experimental | Participants receive the Accountable Justification intervention, but do not receive the Suggested Alternatives or Peer Comparison interventions. Receives: Behavioral: Clinical Decision Support (CDS): Accountable Justifications |
| Education Control | No intervention | Participants do not receive any of the 3 interventions. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Inappropriate Antibiotic Prescribing Rate for Qualifying Acute Respiratory Infection Diagnoses
Assess inappropriate antibiotic prescribing rates (relative to all practices that did not receive the intervention) for antibiotic-inappropriate acute respiratory tract infection visits and no concomitant reason for antibiotic prescribing. based on the following non-antibiotic-appropriate International Statistical Classification of Diseases, version 9 (ICD-9) diagnoses:
460 Acute nasopharyngitis (common cold)
465 Acute laryngopharyngitis/acute upper respiratory infection
466 Acute bronchitis
490 Bronchitis not specified as acute or chronic
487 Flu
Measured: 18 months
Secondary outcomes (1)
Encounters Closely Following the Index Encounter for Serious Diagnoses
Within intervention-qualifying acute respiratory infections (ARI) encounters where no antibiotic was prescribed, we will monitor return visit rates for the specified diagnoses and other acute respiratory infection diagnoses (ICD-9), including whooping cough (033.9), rheumatic fever (390-392) and pneumonia (481-487).
Measured: 18 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted19 Oct 2011 (estimated)
- Study startAug 2011
- Primary completionApr 2014
- Study completionSep 2014
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (5)Papers the sponsor has linked to this study.
- Other trials for Acute Respiratory Infections (ARIs)Studies of the same condition, open and under way.
- More trials run by University of Southern CaliforniaThe 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
- Treatment
- Allocation
- Randomised
- Intervention model
- Factorial
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 248 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Southern California
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute on Aging (NIA)
- Responsible party
- Principal investigator, Jason Doctor, University of Southern California
- Investigators
- Jason N Doctor, PhD, Principal investigator, University of Southern California
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT01454947
- Sponsor's protocol ID
- 1RC4AG039115-01
- Other IDs
- 1RC4AG039115-01
- Acronym
- BEARI
- Status last verified
- May 2024
- First submitted
- 4 Aug 2011
- Last updated
- 23 May 2024
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- Yes
Publications
Meeker D, Linder JA, Fox CR, Friedberg MW, Persell SD, Goldstein NJ, Knight TK, Hay JW, Doctor JN. Effect of Behavioral Interventions on Inappropriate Antibiotic Prescribing Among Primary Care Practices: A Randomized Clinical Trial. JAMA. 2016 Feb 9;315(6):562-70. doi: 10.1001/jama.2016.0275.
PubMed 26864410Doctor JN, Goldstein NJ, Fox CR, Linder JA, Persell SD, Stewart EP, Knight TK, Meeker D. Clinician Job Satisfaction After Peer Comparison Feedback: A Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open. 2023 Jun 1;6(6):e2317379. doi: 10.1001/jamanetworkopen.2023.17379.
PubMed 37289454Gong CL, Zangwill KM, Hay JW, Meeker D, Doctor JN. Behavioral Economics Interventions to Improve Outpatient Antibiotic Prescribing for Acute Respiratory Infections: a Cost-Effectiveness Analysis. J Gen Intern Med. 2019 Jun;34(6):846-854. doi: 10.1007/s11606-018-4467-x. Epub 2018 May 8.
PubMed 29740788Gong CL, Hay JW, Meeker D, Doctor JN. Prescriber preferences for behavioural economics interventions to improve treatment of acute respiratory infections: a discrete choice experiment. BMJ Open. 2016 Sep 22;6(9):e012739. doi: 10.1136/bmjopen-2016-012739.
PubMed 27660322Persell SD, Friedberg MW, Meeker D, Linder JA, Fox CR, Goldstein NJ, Shah PD, Knight TK, Doctor JN. Use of behavioral economics and social psychology to improve treatment of acute respiratory infections (BEARI): rationale and design of a cluster randomized controlled trial [1RC4AG039115-01]--study protocol and baseline practice and provider characteristics. BMC Infect Dis. 2013 Jun 27;13:290. doi: 10.1186/1471-2334-13-290.
PubMed 23806017
Study at a glance
From the registry record, last updated by the sponsor on 23 May 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Use of Behavioral Economics to Improve Treatment of Acute Respiratory Infections (Main Study)
- ClinicalTrials.gov ID
- NCT01454947
- Acronym / sponsor ID
- BEARI / 1RC4AG039115-01
- Conditions
- Acute Respiratory Infections (ARIs)
- Keywords
- Antibiotics, Inappropriate Prescribing, Respiratory Tract Infections, Behavioral Research
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 248 participants (actual)
- Lead sponsor
- University of Southern CaliforniaUniversity, hospital or other
- Collaborators
- National Institute on Aging (NIA)
- Study start
- Aug 2011
- Primary completion
- Apr 2014 (actual)
- Study completion
- Sep 2014 (actual)
- First posted
- 19 Oct 2011 (estimated)
- Results
- Posted 20 Jun 2017
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Bacteria resistant to antibiotic therapy are a major public health problem. The evolution of multi-drug resistant pathogens may be encouraged by provider prescribing behavior. Inappropriate use of antibiotics for nonbacterial infections and overuse of broad spectrum antibiotics can lead to the development of resistant strains. Though providers are adequately trained to know when antibiotics are and are not comparatively effective, this has not been sufficient to affect critical provider practices.
The intent of this study is to apply behavioral economic theory to reduce the rate of antibiotic prescriptions for acute respiratory diagnoses for which guidelines do not call for antibiotics. Specifically targeted are infections that are likely to be viral.
The objective of this study is to improve provider decisions around treatment of acute respiratory infections.
The participants are practicing attending physicians or advanced practice nurses (i.e. providers) at participating clinics who see acute respiratory infection patients. A maximum of 550 participants will be recruited for this study.
Providers consenting to participate will fill out a baseline questionnaire online. Subsequent to baseline data collection and enrollment, participating clinic sites will be randomized to the study arms, as described below.
There will be a control arm, with clinic sites randomized in a multifactorial design to up to three interventions that leverage the electronic medical record: Order Sets that are triggered by electronic health record (EHR) workflow containing exclusively guideline concordant choices (SA, for Suggested Alternatives); Accountable Justifications triggered by discordant prescriptions that populate the note with provider's rationale for guideline exceptions (AJ); and performance feedback that benchmarks providers' own performance to that of their peers (PC, for Peer Comparisons).
The outcomes of interest are antibiotic prescribing patterns, including prescribing rates and changes in prescribing rates over time.
The intervention period will be over one year, with a one-year follow up period to measure persistence of the effect after EHR features are returned to the original state and providers no longer receive email alerts.
Detailed description
Each consented provider will be randomized to 1 of 8 cells in a factorial design with equal probability. If results of retrospective data analysis imply that design will be improved by stratification, randomization will be stratified by factors that could influence outcomes.
Data will be collected from the clinics' Enterprise Data Warehouses which store copies of data recorded in the electronic health record. Data elements from qualifying office visits will be collected from coded portions of the electronic health record.
An encounter is eligible for intervention if the patient's diagnosis is in the selected group of acute respiratory infections. The intervention EHR functions will be triggered when clinicians initiate an antibiotic prescription or enter a diagnosis for an acute respiratory infection that has a defined Order Set. If an antibiotic from a list of frequently misprescribed antibiotics is ordered and a diagnosis has not yet been entered, providers will be prompted to enter a diagnosis. If the diagnosis entered is acute nasopharyngitis; acute laryngopharyngitis/acute upper respiratory infection; acute bronchitis; bronchitis not specified as acute or chronic; or flu; the interventions will be triggered. The diagnosis-appropriate order set will pop-up for providers in the SA arm, while clinicians randomized to the AJ arm will receive an alert and be required to enter a brief statement justifying their antibiotic prescription if antibiotics are not indicated for the diagnosis entered. This note will then be added to the patient's medical record.
Clinicians randomized to the Peer Comparison condition will receive email updates about their antibiotic prescribing practices relative to other clinicians in their practice.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Factorial
- Masking
- Single blind (participant)
- Number of arms
- 8
| Arm | Type | Receives |
|---|---|---|
| SA, AJ, PC | Experimental | Behavioral: Clinical Decision Support (CDS): Accountable Justifications, Behavioral: Audit and Feedback: Peer Comparison, Behavioral: CDS Order Sets: Suggested AlternativesParticipants are given all 3 interventions. |
| SA, AJ | Experimental | Behavioral: Clinical Decision Support (CDS): Accountable Justifications, Behavioral: CDS Order Sets: Suggested AlternativesParticipants receive the Suggested Alternatives and Accountable Justification interventions, but not the Peer Comparison intervention. |
| SA, PC | Experimental | Behavioral: Audit and Feedback: Peer Comparison, Behavioral: CDS Order Sets: Suggested AlternativesParticipants receive the Suggested Alternative and Peer Comparison interventions, but not the Accountable Justification intervention. |
| AJ, PC | Experimental | Behavioral: Clinical Decision Support (CDS): Accountable Justifications, Behavioral: Audit and Feedback: Peer ComparisonParticipants receive the Accountable Justification and Peer Comparison interventions, but not the Suggested Alternative intervention. |
| Peer Comparison (PC) | Experimental | Behavioral: Audit and Feedback: Peer ComparisonParticipants receive the Peer Comparison intervention, but do not receive the Suggested Alternatives or Accountable Justification interventions. |
| Suggested Alternatives (SA) | Experimental | Behavioral: CDS Order Sets: Suggested AlternativesParticipants receive the Suggested Alternatives intervention, but not the Accountable Justification or Peer Comparison interventions. |
| Accountable Justification (AJ) | Experimental | Behavioral: Clinical Decision Support (CDS): Accountable JustificationsParticipants receive the Accountable Justification intervention, but do not receive the Suggested Alternatives or Peer Comparison interventions. |
| Education Control | No intervention | –Participants do not receive any of the 3 interventions. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- A practicing attending physician or advanced practice nurse ("provider") at a participating clinic in 2011-2013 who sees acute respiratory infection patients.
Key exclusion criteria (1 listed)
- None.
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 |
|---|---|---|
| Clinical Decision Support (CDS): Accountable JustificationsAlso: AJ, Accountable JustificationAccountable Justifications triggered by discordant prescriptions that populate the electronic health record (EHR) note with provider's rationale for guideline exceptions (AJ). | Behavioural | AJ, PC, Accountable Justification (AJ), SA, AJ, SA, AJ, PC |
| Audit and Feedback: Peer ComparisonAlso: PC, Peer ComparisonPerformance feedback that benchmarks providers' own performance to that of their peers (PC, for Peer Comparison). | Behavioural | AJ, PC, Peer Comparison (PC), SA, AJ, PC, SA, PC |
| CDS Order Sets: Suggested AlternativesAlso: SA, Suggested AlternativesOrder Sets that are triggered by EHR workflow containing exclusively guideline concordant choices (SA, for Suggested Alternatives). | Behavioural | SA, AJ, SA, AJ, PC, SA, PC, Suggested Alternatives (SA) |
Primary outcome
Inappropriate Antibiotic Prescribing Rate for Qualifying Acute Respiratory Infection Diagnoses
Time frame: 18 months
Assess inappropriate antibiotic prescribing rates (relative to all practices that did not receive the intervention) for antibiotic-inappropriate acute respiratory tract infection visits and no concomitant reason for antibiotic prescribing. based on the following non-antibiotic-appropriate International Statistical Classification of Diseases, version 9 (ICD-9) diagnoses: 460 Acute nasopharyngitis (common cold) 465 Acute laryngopharyngitis/acute upper respiratory infection 466 Acute bronchitis 490 Bronchitis not specified as acute or chronic 487 Flu
1 secondary outcome
Encounters Closely Following the Index Encounter for Serious Diagnoses
Time frame: 18 months
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 23 May 2024.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 26864410Meeker D, Linder JA, Fox CR, Friedberg MW, Persell SD, Goldstein NJ, Knight TK, Hay JW, Doctor JN. Effect of Behavioral Interventions on Inappropriate Antibiotic Prescribing Among Primary Care Practices: A Randomized Clinical Trial. JAMA. 2016 Feb 9;315(6):562-70. doi: 10.1001/jama.2016.0275.
- Derived from this study: PubMed 37289454Doctor JN, Goldstein NJ, Fox CR, Linder JA, Persell SD, Stewart EP, Knight TK, Meeker D. Clinician Job Satisfaction After Peer Comparison Feedback: A Secondary Analysis of a Randomized Clinical Trial. JAMA Netw Open. 2023 Jun 1;6(6):e2317379. doi: 10.1001/jamanetworkopen.2023.17379.
- Derived from this study: PubMed 29740788Gong CL, Zangwill KM, Hay JW, Meeker D, Doctor JN. Behavioral Economics Interventions to Improve Outpatient Antibiotic Prescribing for Acute Respiratory Infections: a Cost-Effectiveness Analysis. J Gen Intern Med. 2019 Jun;34(6):846-854. doi: 10.1007/s11606-018-4467-x. Epub 2018 May 8.
- Derived from this study: PubMed 27660322Gong CL, Hay JW, Meeker D, Doctor JN. Prescriber preferences for behavioural economics interventions to improve treatment of acute respiratory infections: a discrete choice experiment. BMJ Open. 2016 Sep 22;6(9):e012739. doi: 10.1136/bmjopen-2016-012739.
- Derived from this study: PubMed 23806017Persell SD, Friedberg MW, Meeker D, Linder JA, Fox CR, Goldstein NJ, Shah PD, Knight TK, Doctor JN. Use of behavioral economics and social psychology to improve treatment of acute respiratory infections (BEARI): rationale and design of a cluster randomized controlled trial [1RC4AG039115-01]--study protocol and baseline practice and provider characteristics. BMC Infect Dis. 2013 Jun 27;13:290. doi: 10.1186/1471-2334-13-290.
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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.
Jason N Doctor, PhD principal investigator
University of Southern California
55 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Clinical Decision Support (CDS): Accountable Justifications, Audit and Feedback: Peer Comparison and CDS Order Sets: Suggested Alternatives in people with Acute Respiratory Infections (ARIs), run by University of Southern California at 55 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 1 inclusion and 1 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 23 May 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 55 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?
Yes. Results are posted in the registry (first posted 20 Jun 2017). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
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?
Inappropriate Antibiotic Prescribing Rate for Qualifying Acute Respiratory Infection Diagnoses (time frame: 18 months). 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 NCT01454947, which also lists 5 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 23 May 2024.