- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04848883
Infectious Diseases Experts as Part of the Antibiotic Stewardship Team in Primary Care (IDASP)
Infectious Diseases Experts as Part of the Antibiotic Stewardship Team in Primary Care: a Cluster-randomised Blinded Study (IDASP)
A cluster-randomised multicentre blinded clinical trial will be performed in six primary care centres located in the southern metropolitan area of Barcelona (Spain). The objective is to assess whether including experts on infectious diseases (ID) within the antimicrobial stewardship (AMS) team of primary care achieves higher reductions on overall antibiotic consumption and increases the quality of prescription in diagnosed upper respiratory and urinary tract infections.
Centres will be randomly assigned to receive a standard-AMS or an advanced-AMS (intervention). Advanced-AMS includes all standard-AMS strategies plus general practitioner chance to discuss clinical cases by telephone to ID expert on working days (8:00 am to 8:00 pm), and by biweekly meetings.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
SCOPE OF THE STUDY: A multicentre, cluster-randomised trial evaluating whether the direct integration of infectious disease specialists into primary care teams reduces total antibiotic consumption and enhances prescribing quality without compromising patient safety.
TIMELINE: From June to September 2021 standard-AMS will be promoted to increase understanding and acceptance of AMS by GP. Baseline data collection will begin on October 2021 and will last six months. After these six months, on 1 April 2022, centres will be randomly assigned to receive an advanced-AMS, or to continue the standard-AMS. The intervention will be spanned 12 months, until 31 March 2023.
STUDY GROUPS. The 6 centres will be assigned to receive an advanced AMS or a standard AMS, 3 in one and 3 in another. Take a look on study design and arms and interventions section.
RANDOMISATION. Take a look on the study design section.
BLINDING. The two secondary endpoints, unnecessary antibiotic therapy and adequacy of therapy, will be evaluated by blinded investigators. Discrepant decisions among them will be discussed with a third blinded antibiotic expert to reach a consensus. Due to the nature of the intervention, it is not possible to blind the primary care centres or the GPs.
OUTCOMES. Outcomes will be measured in each primary centre with a monthly periodicity during 12 consecutive months. These variables are:
- Main objective. To assess the impact of advanced-AMS on overall antibiotic consumption measured by defined daily dose of antibiotic per 1,000 inhabitants per day (DHD).
Secondary objectives:
- To assess the impact of the advanced-AMS on unnecessary antibiotic prescriptions in diagnosed upper URTI and UTI.
- To evaluate the impact of the advanced-AMS on the adequacy of antibiotic prescriptions.
- To evaluate the impact of the advanced-AMS on the total number of re-attendance to GP or emergency department for any reason within 30 days after the initial GP evaluation.
- To evaluate the impact of the advanced-AMS on the number of hospital admissions for any reason within 30 days after the initial GP visit.
DEFINITIONS.
- Consumption is measured in DHD, following the Anatomical Therapeutic Chemical (ATC) classification and the defined daily dose (DDD) methodology established by the WHO (https://www.who.int/tools/atc-ddd-toolkit/about-ddd)
Unnecessary prescription will be considered as follows:
- An antibiotic prescribed in URTI, which disagrees with the local antibiotic guidelines.
- An antibiotic is prescribed in asymptomatic bacteriuria, which is defined as having a positive urine culture with ≥ 10EXP5 CFU/ml of an uropathogen in patients without signs or symptoms of urinary tract infection (dysuria, urinary frequency or urgency, suprapubic pain, fevers, or flank pain).
- Adequacy of antibiotic therapy will be considered when prescription fulfils the local guidelines: type of antibiotic + dose, and length of therapy.
DATA COLLECTION AND MONITORING.
Primary Outcome Data (Cluster Level), antibiotic DHD, will be monthly recollected from two sources:
• Catalan Health System (SCS) Electronic Prescribing Registry: To provide data on all reimbursed and dispensed systemic antibacterials (ATC Group J01) use in population aged > 14 years attended in each participating centres.
- Central Insured Persons Registry (RCA): To provide demographic denominators (insured population aged >14 years) aggregated by sex and age for each participating centre.
- Secondary and Safety Outcome Data (Patient Level) will be collected through monthly point prevalence surveys conducted on the last working day of each month by a cross-sectional analysis. On these selected patients, information from electronic medical records (SAP logon® and eCAP) will be obtained. Investigator will obtain the following variables: demographics, Charlson score, type of infection, antibiotic prescribed, doses and length of antibiotic therapy, re-attendance to the GP, attendance to the emergency department, and hospital admission. All the included patients will be followed up 30 days after the initial primary care physician visit. To ensure completeness of data, a telephone call will be allowed if any crucial data is missing in the electronic medical record.
Information regarding the burden of the intervention such as the number of telephone calls received by the ID expert per month and the number of participants to biweekly meetings with the ID will be also collected.
All data will be recorded by the study monitor on a standardized data abstraction form by using RedCap (Research Electronic Data Capture) hosted at IDIBELL, a secure web application for building and managing online databases.
WITHDRAWAL / FOLLOW-UP Given the pragmatic design based on electronic health records and point-prevalence surveys, participant withdrawal is expected to be minimal. Patients who cannot be reached by telephone to provide missing information will still be included in the intention-to-treat analysis for all outcomes for which electronic data are available.
SAMPLE SIZE. The study will include six primary care centres, providing coverage for 147,644 inhabitants (approximately 37% of the Delta del Llobregat reference population as of 2020). The selection of these six clusters represents a pragmatic sampling approach driven by logistical and organisational constraints to ensure the implementation of the advanced AMS.
Power calculation: The power calculation is based on the primary objective (reduction in overall antibiotic consumption). While the clinical target is a 10% reduction from the 2017 baseline median (8.94 DHD), the study specifically powered to detect a mean difference of 2 DHD between the intervention and control groups.
Statistical Assumptions:
- Intracluster Correlation Coefficient (ICC): 0.2
- Intracluster Variance: 4
- Statistical Power (1 - β): 80%.
- Type I Error (α): 0.05 (two-sided)
STATISTICAL ANALYSIS. All analyses identified in the protocol and in this SAP will be conducted after the last subject completes the follow-up period and the database is locked. Statistical significance will be set at a two-sided p-value <0.05. All relevant effect estimates will be presented with 95% confidence intervals (CIs). Full details of additional analyses will be presented in the clinical study reports, and any such analyses will be clearly identified as post-hoc. Analyses will be performed using R software (version 4.0.1 or later)
*Data description and baseline characteristics Categorical variables will be summarised using frequencies and percentages. Continuous variables will be described using the mean and standard deviation (SD) or median and interquartile range (IQR), depending on the data distribution.
Demographic and baseline data will be presented using descriptive statistics only; no formal testing will be performed.
*Primary Outcome Analysis (DHD) The primary outcome is total antibiotic consumption. A descriptive analysis will be performed on the monthly consumption of antibiotics by the study group (standard and advanced AMS), time and cluster. The monthly consumption of antibiotic evolution will be represented on a graph by months, and a smoothed curve will be estimated using locally weighted smoothing.
Antibiotic consumption will be compared according to the study group using a time series model. The dependent variable will be the monthly consumption of antibiotics expressed in DHD and the independent variable the study arm. In the estimation of the model, the seasonality, trend, and first- and second-order lags of the series will be analysed. In addition, the use of hierarchical models owing to cluster design will be considered.
*Secondary Outcome Analysis (adequacy and safety) A McNemar test will be used to compare the groups and categorical secondary outcomes: unnecessary prescription, adequacy of prescription, re-attendances to GP or the emergency room and hospitalisations.
Additionally, log-binomial regression models will be used to estimate the effect of the intervention in terms of risk on the outcomes adjusted by patients' clinical profiles.
To estimate models, patients nested in primary care centres will be accounted; therefore, a correction of the standard errors will be conducted using the variance-covariance matrix. Finally, inter-rater reliability between blinded investigators regarding the necessity and adequacy of prescriptions will be assessed using the Cohen's Kappa statistic.
*Changes from the original planned statistical analyses
The following adjustments were made to the original analysis plan to improve statistical robustness. All modifications will be fully documented in the clinical study reports:
- Unpaired data: Chi-square tests were used instead of the originally considered McNemar test, as the study compare independent groups.
- Model selection: Mixed-effects logistic regression was selected over log-binomial models to address convergence issues; results are presented as Odds Ratios (OR).
- Primary outcome modelling: The initially planned time-series model was replaced by a mixed-effects Poisson regression. This approach better handles the cluster-level data distribution and accounts for random effects by centre.
- Exploratory analysis: An exploratory subgroup analysis by antibiotic type will be conducted for the primary outcome. This analysis was not pre-specified in the original SAP version 1.
LIMITATIONS. The study does not contemplate randomisation by prescribing physician, but by conglomerates to avoid possible contamination effects at the prescribing physician and patients in the same centre. As it is a cluster analysis, there could be differences in the degree of prescription of doctors within the same centre and between the different centres. In order to reduce this problem, the variability of prescribing intra-cluster and between clusters has been calculated during the period 2017 in a group of primary care centres in the intervention area, differences that have been taken into account for the calculation of the sample. Design of the present study does not include a third group without any AMS intervention due to department policies during 2019.
ETHICAL ASPECTS. This research will be carried out under the standards of good clinical practices following the principles of the Declaration of Helsinki (Fortaleza, 2013), as well as the current legislation applicable to this type of study. This study has been approved by the Ethics Committee of Hospital Universitari de Bellvitge and the Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina (IDIAPJGol) who waived the need to obtain informed consent since the intervention is mainly aimed at health-care professionals (GP) who will be previously informed of the objective and other relevant aspects of the study (REF. PR277/19 - REF. 4R20/26).
Clinical data treatment of the included patients in the research project as well as that of associated professionals (primary care physicians) will be carried out following the established by the Organic Law 3/2018, of December 5, and by Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 on Data Protection (RGPD). Based on these regulations, the sponsor will guarantee the protection of the confidentiality of the participants in the program, both patients and doctors.
The data collection sheets will be identified with a code. The name of the doctor or patient will not appear in any document, or any publication or communication of the study results.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Catalonia
-
Barcelona, Catalonia, Spain, s/n
- Hospital Univeristari de Bellvitge
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion criteria at centre-level (clusters)
- Primary care centres belonging to the Delta del Llobregat healthcare area.
- Prior experience in clinical research and formal agreement to participate in the study.
- Comparability of their reference populations.
All general practitioners of the 6 primary care centers will be included in our clinical trial, excepting paediatricians. Data collection will be performed on patients attended in these centres. Inclusion and exclusion criteria will be applied on the patients attended by general practitioners:
Inclusion criteria at patient-level criteria (unit for secondary objectives)
- Adult patients (aged >14 years).
- Diagnosed with an acute URTI (including pharyngoamygdalitis, sinusitis, otitis) or UTI (including cystitis, prostatitis, pyelonephritis) during the study period.
- Patients attended by a GP at the selected centres.
Eligible patients will be identified following the International Classification of Diseases (ICD-10) CM codes as follows:
- URTI: J00, J01, J02, J03, J04, J05, J06, J31, J39, H60, H62, H65, H66, H67, H83 and H92.
- UTI: N10, N30, N39, N41, R82 and O23.
Exclusion criteria:
- Patients less than 14 years old.
- Patients with indwelling urinary catheter.
- Patients with congenital urinary tract abnormalities.
- Pregnant women.
- Patients undergoing urological surgery.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Advanced AMS program
Three randomily assigned primary care centres in which an infectious diseases expert will be continuously in touch with primary care practitioners.
|
|
|
Active Comparator: Standard AMS program
Three primary care centres in which a typical AMS will be promoted.
|
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To asses the impact of implementing an advanced-AMS program (inclusion of infectious diseases specialists) on the overall antibiotic consumption.
Time Frame: Through study completion
|
Antibiotic defined daily dose per 1,000 inhabitant's day (DHD).
|
Through study completion
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of patients re-consulting after completing antibiotic therapy.
Time Frame: Through study completion
|
Checking any type of re-consulting of all patients attended in primary care centers with both urinary and respiratory tract infection after completing antibiotic treatment, during 30 days after the patients consult with the general practitioner.
|
Through study completion
|
|
Number of cases who needs hospitalisation 30 days after antibiotic therapy.
Time Frame: Through study completion
|
Checking any type of hospitalisation of all patients attended in primary care centers with both urinary and respiratory tract infection after completing antibiotic treatment, during 30 days.
|
Through study completion
|
|
Number of patients with unnecessary antibiotic prescriptions on upper respiratory tract infections.
Time Frame: Through study completion
|
Analysis of all patients attended primary care centers with upper respiratory tract infections.
Unnecessary antibiotic prescription will be all those prescriptions which are in disagreement with the local antibiotic guidelines.
|
Through study completion
|
|
Number of patients with unnecessary antibiotic prescriptions on urinary tract infections.
Time Frame: Through study completion
|
Checking all patients attended in primary care centers with urinary tract infections.
Unnecessary antibiotic prescription will be all those prescriptions which are in disagreement with the local antibiotic guidelines.
Unnecessary treatments include all patients with assymptomatic bacteriuria.
|
Through study completion
|
|
Number of patients with an adequate antibiotic treatment
Time Frame: Through study completion
|
Checking antibiotic treatment of all patients attended in primary care centers with both urinary and respiratory tract infections.
Adequation will be determined by two different blinding investigators who will receive the information of type of antibiotic, dose and length of treatment.
Discrepant decisions among them will be discussed with a third blinded physician.
|
Through study completion
|
Collaborators and Investigators
Investigators
- Study Director: Ariadna Padullés, Pharmacyst, Institut d'Investigació Biomèdica de Bellvitge
- Principal Investigator: Evelyn Shaw, Doctor, Institut d'Investigació Biomèdica de Bellvitge
Publications and helpful links
General Publications
- Fleming-Dutra KE, Hersh AL, Shapiro DJ, Bartoces M, Enns EA, File TM Jr, Finkelstein JA, Gerber JS, Hyun DY, Linder JA, Lynfield R, Margolis DJ, May LS, Merenstein D, Metlay JP, Newland JG, Piccirillo JF, Roberts RM, Sanchez GV, Suda KJ, Thomas A, Woo TM, Zetts RM, Hicks LA. Prevalence of Inappropriate Antibiotic Prescriptions Among US Ambulatory Care Visits, 2010-2011. JAMA. 2016 May 3;315(17):1864-73. doi: 10.1001/jama.2016.4151.
- Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L, McLeod L, Delacqua G, Delacqua F, Kirby J, Duda SN; REDCap Consortium. The REDCap consortium: Building an international community of software platform partners. J Biomed Inform. 2019 Jul;95:103208. doi: 10.1016/j.jbi.2019.103208. Epub 2019 May 9.
- Bell BG, Schellevis F, Stobberingh E, Goossens H, Pringle M. A systematic review and meta-analysis of the effects of antibiotic consumption on antibiotic resistance. BMC Infect Dis. 2014 Jan 9;14:13. doi: 10.1186/1471-2334-14-13.
- Buehrle DJ, Shively NR, Wagener MM, Clancy CJ, Decker BK. Sustained Reductions in Overall and Unnecessary Antibiotic Prescribing at Primary Care Clinics in a Veterans Affairs Healthcare System Following a Multifaceted Stewardship Intervention. Clin Infect Dis. 2020 Nov 5;71(8):e316-e322. doi: 10.1093/cid/ciz1180.
- Brinkmann I, Kibuule D. Effectiveness of antibiotic stewardship programmes in primary health care settings in developing countries. Res Social Adm Pharm. 2020 Sep;16(9):1309-1313. doi: 10.1016/j.sapharm.2019.03.008. Epub 2019 Mar 16.
- Cassini A, Hogberg LD, Plachouras D, Quattrocchi A, Hoxha A, Simonsen GS, Colomb-Cotinat M, Kretzschmar ME, Devleesschauwer B, Cecchini M, Ouakrim DA, Oliveira TC, Struelens MJ, Suetens C, Monnet DL; Burden of AMR Collaborative Group. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European Economic Area in 2015: a population-level modelling analysis. Lancet Infect Dis. 2019 Jan;19(1):56-66. doi: 10.1016/S1473-3099(18)30605-4. Epub 2018 Nov 5.
- Dellit TH, Owens RC, McGowan JE Jr, Gerding DN, Weinstein RA, Burke JP, Huskins WC, Paterson DL, Fishman NO, Carpenter CF, Brennan PJ, Billeter M, Hooton TM; Infectious Diseases Society of America; Society for Healthcare Epidemiology of America. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis. 2007 Jan 15;44(2):159-77. doi: 10.1086/510393. Epub 2006 Dec 13. No abstract available.
- Rodriguez-Bano J, Pano-Pardo JR, Alvarez-Rocha L, Asensio A, Calbo E, Cercenado E, Cisneros JM, Cobo J, Delgado O, Garnacho-Montero J, Grau S, Horcajada JP, Hornero A, Murillas-Angoiti J, Oliver A, Padilla B, Pasquau J, Pujol M, Ruiz-Garbajosa P, San Juan R, Sierra R; Grupo de Estudio de la Infeccion Hospitalaria-Sociedad Espanola de Enfermedades Infecciosas y Microbiologia Clinica; Sociedad Espanola de Farmacia Hospitalaria; Sociedad Espanola de Medicina Preventiva, Salud Publica e Higiene. [Programs for optimizing the use of antibiotics (PROA) in Spanish hospitals: GEIH-SEIMC, SEFH and SEMPSPH consensus document]. Enferm Infecc Microbiol Clin. 2012 Jan;30(1):22.e1-22.e23. doi: 10.1016/j.eimc.2011.09.018. Epub 2011 Dec 15. Spanish.
- Smieszek T, Pouwels KB, Dolk FCK, Smith DRM, Hopkins S, Sharland M, Hay AD, Moore MV, Robotham JV. Potential for reducing inappropriate antibiotic prescribing in English primary care. J Antimicrob Chemother. 2018 Feb 1;73(suppl_2):ii36-ii43. doi: 10.1093/jac/dkx500.
- Dyar OJ, Beovic B, Pulcini C, Tacconelli E, Hulscher M, Cookson B; ESCMID generic competencies working group. ESCMID generic competencies in antimicrobial prescribing and stewardship: towards a European consensus. Clin Microbiol Infect. 2019 Jan;25(1):13-19. doi: 10.1016/j.cmi.2018.09.022. Epub 2018 Nov 8.
- Alvarez-Lerma F, Grau S, Echeverria-Esnal D, Martinez-Alonso M, Gracia-Arnillas MP, Horcajada JP, Masclans JR. A Before-and-After Study of the Effectiveness of an Antimicrobial Stewardship Program in Critical Care. Antimicrob Agents Chemother. 2018 Mar 27;62(4):e01825-17. doi: 10.1128/AAC.01825-17. Print 2018 Apr.
- Molina J, Penalva G, Gil-Navarro MV, Praena J, Lepe JA, Perez-Moreno MA, Ferrandiz C, Aldabo T, Aguilar M, Olbrich P, Jimenez-Mejias ME, Gascon ML, Amaya-Villar R, Neth O, Rodriguez-Hernandez MJ, Gutierrez-Pizarraya A, Garnacho-Montero J, Montero C, Cano J, Palomino J, Valencia R, Alvarez R, Cordero E, Herrero M, Cisneros JM; PRIOAM team. Long-Term Impact of an Educational Antimicrobial Stewardship Program on Hospital-Acquired Candidemia and Multidrug-Resistant Bloodstream Infections: A Quasi-Experimental Study of Interrupted Time-Series Analysis. Clin Infect Dis. 2017 Nov 29;65(12):1992-1999. doi: 10.1093/cid/cix692.
- Castro-Sanchez E, Moore LS, Husson F, Holmes AH. What are the factors driving antimicrobial resistance? Perspectives from a public event in London, England. BMC Infect Dis. 2016 Sep 2;16(1):465. doi: 10.1186/s12879-016-1810-x.
- MacDougall C, Polk RE. Antimicrobial stewardship programs in health care systems. Clin Microbiol Rev. 2005 Oct;18(4):638-56. doi: 10.1128/CMR.18.4.638-656.2005.
- Steinman MA, Landefeld CS, Gonzales R. Predictors of broad-spectrum antibiotic prescribing for acute respiratory tract infections in adult primary care. JAMA. 2003 Feb 12;289(6):719-25. doi: 10.1001/jama.289.6.719.
- Llor C, Moragas A, Hernandez S, Crispi S, Cots JM. Misconceptions of Spanish general practitioners' attitudes toward the management of urinary tract infections and asymptomatic bacteriuria: an internet-based questionnaire study. Rev Esp Quimioter. 2017 Oct;30(5):372-378. Epub 2017 Jul 24.
- Rousham E, Cooper M, Petherick E, Saukko P, Oppenheim B. Overprescribing antibiotics for asymptomatic bacteriuria in older adults: a case series review of admissions in two UK hospitals. Antimicrob Resist Infect Control. 2019 May 2;8:71. doi: 10.1186/s13756-019-0519-1. eCollection 2019.
- Nicolle LE, Gupta K, Bradley SF, Colgan R, DeMuri GP, Drekonja D, Eckert LO, Geerlings SE, Koves B, Hooton TM, Juthani-Mehta M, Knight SL, Saint S, Schaeffer AJ, Trautner B, Wullt B, Siemieniuk R. Clinical Practice Guideline for the Management of Asymptomatic Bacteriuria: 2019 Update by the Infectious Diseases Society of America. Clin Infect Dis. 2019 May 2;68(10):e83-e110. doi: 10.1093/cid/ciy1121.
- Ronda M, Padulles A, Simonet P, Rodriguez G, Estrada C, Lerida A, Ferro JJ, Cobo S, Tubau F, Gardenes L, Freixedas R, Lopez M, Carrera E, Pallares N, Tebe C, Carratala J, Puig-Asensio M, Shaw E. Infectious diseases experts as part of the antibiotic stewardship team in primary care: protocol for a cluster-randomised blinded study (IDASP). BMJ Open. 2021 Oct 11;11(10):e053160. doi: 10.1136/bmjopen-2021-053160.
- Laxminarayan R, Duse A, Wattal C, Zaidi AK, Wertheim HF, Sumpradit N, Vlieghe E, Hara GL, Gould IM, Goossens H, Greko C, So AD, Bigdeli M, Tomson G, Woodhouse W, Ombaka E, Peralta AQ, Qamar FN, Mir F, Kariuki S, Bhutta ZA, Coates A, Bergstrom R, Wright GD, Brown ED, Cars O. Antibiotic resistance-the need for global solutions. Lancet Infect Dis. 2013 Dec;13(12):1057-98. doi: 10.1016/S1473-3099(13)70318-9. Epub 2013 Nov 17.
- Roca I, Akova M, Baquero F, Carlet J, Cavaleri M, Coenen S, Cohen J, Findlay D, Gyssens I, Heuer OE, Kahlmeter G, Kruse H, Laxminarayan R, Liebana E, Lopez-Cerero L, MacGowan A, Martins M, Rodriguez-Bano J, Rolain JM, Segovia C, Sigauque B, Tacconelli E, Wellington E, Vila J. The global threat of antimicrobial resistance: science for intervention. New Microbes New Infect. 2015 Apr 16;6:22-9. doi: 10.1016/j.nmni.2015.02.007. eCollection 2015 Jul.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- PR277/19
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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