Estimation of sample size and testing power (Part 4)

Hu, Lianxi; Bao, Xiao-lei; Guan, Xue; Shi-guo, Zhou

doi:10.3736/jcim20120106

Cited by 2 publications

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“…In our survey, we evaluated the sample size by formula [ 17 ]: N = n t × number of strata = (Z α + Z β ) 2 × (σ I 2 + σ C 2 )/δ 2 × 120% × number of strata …”

Section: Methodsmentioning

confidence: 99%

Effect of a Multi-Level Education Intervention Model on Knowledge and Attitudes of Accidental Injuries in Rural Children in Zunyi, Southwest China

Cao

Shi

Yonghong

et al. 2015

IJERPH

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Objective: To explore the effect of a school-family-individual (SFI) multi-level education intervention model on knowledge and attitudes about accidental injuries among school-aged children to improve injury prevention strategies and reduce the incidence of pediatric injuries. Methods: The random sample of rural school-aged children were recruited by using a multistage, stratified, cluster sampling method in Zunyi, Southwest China from 2012 to 2014, and 2342 children were randomly divided into intervention and control groups. Then children answered a baseline survey to collect knowledge and attitude scores (KAS) of accidental injuries. In the intervention group, children, their parents/guardians and the school received a SFI multi-level education intervention, which included a children’s injury-prevention poster at schools, an open letter about security instruction for parents/guardians and multiple-media health education (Microsoft PowerPoint lectures, videos, handbooks, etc.) to children. Children in the control group were given only handbook education. After 16 months, children answered a follow-up survey to collect data on accidental injury types and accidental injury-related KAS for comparing the intervention and control groups and baseline and follow-up data. Results: The distribution of gender was not significantly different while age was different between the baseline and follow-up survey. At baseline, the mean KAS was lower for the intervention than control group (15.37 ± 3.40 and 18.35 ± 5.01; p < 0.001). At follow-up, the mean KAS was higher for the intervention than control group (21.16 ± 3.05 and 20.02 ± 3.40; p < 0.001). The increase in KAS in the intervention and control groups was significant (p < 0.001; KAS: 5.79 vs. 1.67) and suggested that children’s injury-related KAS improved in the intervention group. Moreover, the KAS between the groups differed for most subtypes of incidental injuries (based on International Classification of Diseases 10, ICD-10) (p < 0.05). Before intervention, 350 children had reported their accident injury episodes, while after intervention 237 children had reported their accidental injury episodes in the follow-up survey. Conclusions: SFI multi-level education intervention could significantly increase KAS for accidental injuries, which should improve children’s prevention-related knowledge and attitudes about such injuries. It should help children change their risk behaviors and reduce the incidence of accidental injuries. Our results highlight a new intervention model of injury prevention among school-aged children.

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“…In our survey, we evaluated the sample size by formula [ 17 ]: N = n t × number of strata = (Z α + Z β ) 2 × (σ I 2 + σ C 2 )/δ 2 × 120% × number of strata …”

Section: Methodsmentioning

confidence: 99%

Effect of a Multi-Level Education Intervention Model on Knowledge and Attitudes of Accidental Injuries in Rural Children in Zunyi, Southwest China

Cao

Shi

Yonghong

et al. 2015

IJERPH

View full text Add to dashboard Cite

show abstract

“…It has been widely applied in China to treat dysfunction after stroke (such as muscular spasticity), epilepsy and spinal cord injury [1][2][3]. Nowaday, GLGZD were primarily used in clinical treatment of cerebrovascular disease and pathological changes of central nerve system, and become a newly hospital preparation (a new drug approved by Fujian State Food and Drug Administration, Approval Number: Min 2013S0001).…”

Section: Introductionmentioning

confidence: 99%

Chemical profiling and quantification of Gua-Lou-Gui-Zhi decoction by high performance liquid chromatography/quadrupole-time-of-flight mass spectrometry and ultra-performance liquid chromatography/triple quadrupole mass spectrometry

Huang

et al. 2015

Journal of Chromatography B

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Estimation of sample size and testing power (Part 4)

Cited by 2 publications

References 0 publications

Effect of a Multi-Level Education Intervention Model on Knowledge and Attitudes of Accidental Injuries in Rural Children in Zunyi, Southwest China

Effect of a Multi-Level Education Intervention Model on Knowledge and Attitudes of Accidental Injuries in Rural Children in Zunyi, Southwest China

Chemical profiling and quantification of Gua-Lou-Gui-Zhi decoction by high performance liquid chromatography/quadrupole-time-of-flight mass spectrometry and ultra-performance liquid chromatography/triple quadrupole mass spectrometry

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