Dataset Information

Planned missing data in early literacy interventions: A replication study with an additional gold standard.

ABSTRACT:

Introduction

In a digital early literacy intervention RCT, children born late preterm fell behind peers when in a control condition, but outperformed them when assigned to the intervention. Results did however not replicate previous findings. Replication is often complicated by resource quality. Gold Standard measures are generally time-intensive and costly, while they closely align with, and are more sensitive to changes in, early literacy and language performance. A planned missing data approach, leaving these gold standard measures incomplete, might aid in addressing the origin(s) of non-replication.

Methods

Participants after consent were 695 p Dutch primary school pupils of normal and late preterm birth. The high-quality measures, in additional to simpler but complete measures, were intentionally administered to a random subsample of children. Five definitions of gold standard alignment were evaluated.

Results

Two out of five gold standard levels improved precision compared to the original results. The lowest gold standard level did not lead to improvement: precision was actually diminished. In two gold standard definitions, an alphabetical factor and a writing-only factor the model estimates were comparable to the original results. Only the most precise definition of the gold standard level replicated the original results.

Conclusion

Gold standard measures could only be used to improve model efficiency in RCT-designs under sufficiently high convergent validity.

SUBMITTER: Rippe RCA

PROVIDER: S-EPMC8007029 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundDue to their chronicity, prolonged morbidity, and high mortality, chronic respiratory diseases (CRDs) pose a huge burden of disease globally, primarily among low- and middle-income countries. Most of these diseases can be controlled by early diagnosis and treatment, correct practice of medications, regular follow-up, and avoidance of risk factors, which involves a change in health behaviour among patients. The theory of planned behaviour (TPB) has been proven to be effective and has been used increasingly as a behavioural framework for designing and evaluating behaviour change interventions, although most such studies were on affluent populations and from the global north. We aimed to collate evidence of TPB-based behavioural interventions in low health literacy settings for its effectiveness and feasibility by conducting a systematic review (SR).MethodsWe followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines in conducting and reporting this study. We selected interventional studies using at least two constructs of TPB for behaviour change in chronic disease patients and conducted in LMICs, used the PICO framework, and exported the retrieved studies through the Endnote software. We evaluated the studies using the Risk of Bias (RoB) 2 and Risk of Bias in Non-randomised Studies - of Interventions (ROBINS-I) tools.ResultsWe retrieved and reviewed the titles and abstracts 4281 titles and abstracts, identifying 186 articles for further detailed screening. Eleven studies met the criteria for a standardised independent full-text screening by two authors and four were selected for narrative synthesis. All studies were from urban settings, with established feasibility and fidelity; all interventions were effective in changing health behaviour and TPB constructs and provided structured education to participants in the intervention group (either face-to-face and through group education). Three studies had some concerns/moderate risk of bias and one had high risk of bias.ConclusionsAll studies demonstrated effectiveness, feasibility, and fidelity of TPB interventions in LMIC settings, although most were of moderate quality. Further studies should gather definitive evidence and prove their feasibility and utility in LMICs.RegistrationPROSPERO CRD42018104890.