Executive and attentional functioning interventions in preterm children: a systematic review
Bibliographic record
Abstract
OBJECTIVE: This systematic review, performed in accordance with the PRISMA guidelines, seeks to summarize the interventions that have been developed in order to improve executive functioning and attention in children born prematurely. METHODS: The PICOS framework helped guide the structure and relevant terms selected for the study. Electronic systematic searches of the databases PubMed (NLM), Ovid Medline, Ovid All EBM Reviews, Ovid Embase, and Ovid PsycINFO were completed in March 2022. This review focuses on interventions that target attention and executive functioning in prematurely born children between birth and 12 years old, with outcome measures assessed between 3 and 12 years old, even if the age range in the study can exceed our own parameters. Data extraction included sample characteristics, country of recruitment, type of intervention, description of the intervention group and control group, outcome measures, and overall results. An assessment of the quality of methodology of studies was performed through an adaptation of the Downs and Black checklist for both randomized and nonrandomized studies in healthcare interventions. An assessment of the risk of bias was also presented using the Cochrane risk of bias tool for randomized trials 2.0. RESULTS: A total of 517 premature children received an intervention at some point between birth and early adolescence. Eleven different interventions were assessed in 17 studies, with rating of the quality of methodology and outcomes ranging from lower quality studies (44% quality rating) to robust studies (96% quality rating) in terms of reporting standards, external and internal validity, and power. Five of those studies focused on interventions administered in the neonatal intensive care unit or shortly postdischarge (e.g., the Mother-Infant Transaction Program and the Newborn Individualized Developmental Care and Assessment Program, documented in two articles each [11%] or the Infant Behavioral Assessment and Intervention Program assessed in one study [about 5%]), while 12 articles reported on interventions administered between the ages of 1.5-12 years old [mostly computerized cognitive training programs such as Cogmed (23%) and BrainGame Brian (17%)]. Of the 17 articles examined, 12 (70%) showed positive short-term outcomes postintervention and 3 (17%) demonstrated positive long-term results with small to large effect sizes (0.23-2.3). Among included studies, 50% showed an overall high risk of bias, 21.4% showed some concerns, and 28.6% were low risk of bias. CONCLUSIONS: Due to the heterogeneity of the programs reviewed, the presented findings should be interpreted as descriptive results. A careful and individualized selection from the various available interventions should be made based on the target population (i.e., age at intervention administration and outcome testing) before implementing these program protocols in clinical settings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".