Infection, Bacterial Clinical Trial
— NeoDecoOfficial title:
Optimising Kangaroo Care to Reduce Neonatal Severe Infection/Sepsis and Resistant Bacterial Colonisation Among High-risk Infants in Neonatal Intensive Care: a Pragmatic, Multicentre, Parallel Cluster Randomised Hybrid Implementation-effectiveness Study.
NeoDeco is a pragmatic, multicenter, parallel group, cluster randomised hybrid effectiveness-implementation study with baseline assessment, wash-in period and staggered randomisation. All sites will be offered the implementation support for optimised Kangaroo Care (KC) as part of the study; however, intervention sites will be randomised to immediate receipt of implementation support whereas standard care sites will be offered this after the study period.
Status | Not yet recruiting |
Enrollment | 11440 |
Est. completion date | September 2026 |
Est. primary completion date | February 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A to 28 Weeks |
Eligibility | In NeoDeco there are no participant inclusion or exclusion criteria because this is a cluster randomised trial, so the intervention will be applied to all babies admitted to the neonatal intensive care unit as a cluster. However, the neonatal intensive care units will have to meet the following criteria to be involved in the study: Inclusion Criteria: - European NICUs that provide routine care of extremely premature infants (< 28 weeks' gestational age). - Minimum number of 12 beds offering highest level of neonatal intensive care. - Availability of or access to -70 to -80°C freezer for storage of research samples. - Willing to implement optimised KC if allocated to the intervention group. - Willing to commit to offering the minimum expected target duration or an increase of 50% if NICU is already offering the minimum expected target duration, if allocated to the intervention arm. - Prepared to implement NeoIPC surveillance - Adequate resources and expertise and approvals from relevant Research Ethics Committees, as appropriate. Exclusion Criteria: - NICU already practices 'long-term' StSC of > 18 hours. Major expected changes in resistant bacterial colonisation pressure during the study period, for example due to planned move to a new ward. - Participation in other interventional IPC research projects which might directly influence the study intervention or outcome. |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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PENTA Foundation | Charite University, Berlin, Germany, European Clinical Research Alliance for Infectious Diseases (ECRAID), St George's, University of London, UMC Utrecht, Universiteit Antwerpen, University of Zurich |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Incidence of SSIs | The study will explore the effect of the intervention among high-risk infants and all infants on cumulative incidences of SSIs, including superficial, deep or organ-space SSI, pneumonia (including VAP) and DAIs. | 12 months | |
Other | Prevalence of breastfeeding | The study will compare prevalence of breastfeeding and mother's milk intake over time as well as human milk intake among high-risk infants and all infants in both groups. | 12 months | |
Other | Incremental cost-effectiveness ratio (ICER) | The incremental cost-effectiveness ratio (ICER) of the intervention compared to the standard care using indicators from the trial outcomes will be calculated to estimate a range of ICERs, including the incremental cost per case of infection averted, cost per life-year gained, and cost per disability-adjusted life-years (DALYs) averted. | 12 months | |
Other | Budget impact of the intervention arm | A sensitivity analysis to assess the robustness of cost-effectiveness analyses results to changes in assumptions or inputs will be performed. This may entail testing various scenarios or different assumptions about the costs or benefits of optimised KC. Further, the budget impact of scaling-up the intervention's coverage for the health systems of the countries included in the study will be estimated, if proved effective and cost-effective. | 12 months | |
Primary | Neonatal severe infection/sepsis | The cumulative incidence of neonatal severe infection/sepsis in high-risk infants during their NICU stay will be analysed using mixed-effects logistic regression analysis with a random intercept for hospital. The determinant of interest will be the randomly allocated intervention. Co-variates in the analysis include the variables used for restricted randomisation and important individual-level infant characteristics present at admission: birth weight group, gestational age group and mode of delivery (vaginal birth or Caesarean section). | 12 months | |
Primary | Resistant bacterial colonisation over time | The prevalence of resistant bacterial colonisation over time in high-risk infants admitted to the NICU will be analysed using mixed effects time-series analysis with a random intercept and random time-slope at the hospital level. Individual data will be analysed with a binary outcome (detection or no detection). Data of the pre-trial and full trial period will be visualised, but only PPS collected after the wash-in period (or after the same period in control hospitals) will be analysed in the primary analysis. The two determinants of interest are (1) allocated intervention group and (2) time in months since end of the wash-in period (being zero for control hospitals), including the same co-variates as for neonatal severe infection/sepsis. | 12 months | |
Secondary | Incidence of neonatal sever infections | The study will assess the effect of the intervention among all infants on the cumulative incidence of neonatal severe infection/sepsis, laboratory-confirmed bloodstream infections, clinical sepsis and necrotising enterocolitis (NEC) | 12 months | |
Secondary | Incidence of neonatal morbidity | The study will evaluate the composite outcome of major neonatal morbidity, defined as laboratory-confirmed sepsis, NEC, high-grade ROP, high-grade IVH, BPD or death during NICU stay, and the effect of the intervention in high-risk infants using a negative binomial model, adjusted for the cumulative incidence of the same endpoints in the year before start of the trial. | 12 months |
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