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Effectiveness of non-pharmacological interventions in reducing pain in preterm infants: A systematic review and network meta-analysis.

Intensive & critical care nursing
October 1, 2024
Tainá Costa Pereira Lopes et al. (9 authors)
Journal ArticleMeta-AnalysisSystematic ReviewHuman Study
Study Details

Study Goal

The researchers aimed to compare the effectiveness of non-pharmacological measures, including magnetic acupuncture, for pain control in preterm infants in the NICU.

Results Summary

Magnetic acupuncture was among the non-pharmacological measures shown to reduce pain in preterm infants compared to no intervention, placebo, proparacaine, or standard NICU routine, with moderate confidence in the evidence.

Population

Preterm infants in the Neonatal Intensive Care Unit (NICU)

Effective Dosage

Not specified

Duration

Not specified

Interactions

None mentioned

Extracted Claims (11)
InterventionDirectionEndpointPopulationDosageImpactClaim #
sensory saturation
decrease
pain
preterm infants
SMD 5,25 IC 95%: -8,98; -1,53
have been shown to reduce pain
#1
sugars
decrease
pain
preterm infants
SMD 2,32 IC 95%: -3,86; -0,79
have been shown to reduce pain
#2
non-nutritive sucking
decrease
pain
preterm infants
-
have been shown to reduce pain
#3
maternal heart sound
decrease
pain
preterm infants
-
have been shown to reduce pain
#4
lullaby
decrease
pain
preterm infants
-
have been shown to reduce pain
#5
breast milk odor/taste
decrease
pain
preterm infants
-
have been shown to reduce pain
#6
magnetic acupuncture
decrease
pain
preterm infants
-
have been shown to reduce pain
#7
skin-to-skin contact
decrease
pain
preterm infants
-
have been shown to reduce pain
#8
facilitated tucking
decrease
pain
preterm infants
-
have been shown to reduce pain
#9
pacifier
decrease
pain
preterm infants
SMD 3,74 IC 95%: -7,30; 0,19
-
#10
sugars and pacifier
decrease
pain
preterm infants
SMD 3,88 IC 95% -7,72; -0,04
-
#11
Abstract

OBJECTIVE: To identify the most effective non-pharmacological measures for pain control in preterm infants in the Neonatal Intensive Care Unit (NICU). METHODS: A Systematic review and network meta-analysis of randomized clinical trials published in English, Portuguese, and Spanish from April 2020 to December 2023. The data sources used were MedLine via PubMed, LILACS, EMBASE, The Cochrane Central Register of Controlled Trials, and Pedro. We performed the risk of bias analysis with Rob 2 and the certainty of the evidence and strength of the recommendation using the Grading of Recommendations Assessment, Development, and Evaluation system. We assessed heterogeneity using the Higgins and Thompson I RESULTS: From 210 publications identified, we utilized 12 studies in analysis with 961 preterm infants, and we combined ten studies in network meta-analysis with 716 preterm infants, and 12 combinations of non-pharmacological measures. With moderate confidence, sensory saturation, sugars, non-nutritive sucking, maternal heart sound, lullaby, breast milk odor/taste, magnetic acupuncture, skin-to-skin contact, and facilitated tucking have been shown to reduce pain in preterm infants when compared to no intervention, placebo, proparacaine or standard NICU routine: sensory saturation [SMD 5,25 IC 95%: -8,98; -1,53], sugars [SMD 2,32 IC 95%: -3,86; -0,79], pacifier [SMD 3,74 IC 95%: -7,30; 0,19], and sugars and pacifier SMD [3,88 IC 95% -7,72; -0,04]. CONCLUSION: Non-pharmacological measures are strongly recommended for pain management in preterm infants in the NICU. IMPLICATIONS FOR CLINICAL PRACTICE: The findings of this study have important implications for policy and practice. This is the only systematic review that compared the effectiveness of non-pharmacological measures, thus making it possible to identify which measure presents the best results and could be the first choice in clinical decision making.

Medical Subject Headings (MeSH)
HumansInfant, NewbornInfant, PrematureIntensive Care Units, NeonatalNetwork Meta-AnalysisPain Management
Study Links
Quality Scores
SafetyNot Assessed
Efficacy75/10
Quality85/10
Citation Metrics
Total Citations4
Citations/Year4.0
Research Impact Scores
APT Score0.75
Weight Score2.93
Normalized Score0.67
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