Sentences with phrase «intervention group analysis»

Not exact matches

We also estimated relative indices of inequality (RII) and slope indices of inequality (SII) as summary measures of relative and absolute inequalities of breastfeeding outcomes, respectively, across the entire distribution of maternal education.24 For child IQ, linear regression analyses using GEEs were performed to estimate mean IQ differences in lower maternal education from the reference category in each intervention group and compared between the groups.

Meta - analyses using both parent (SMD -0.67; 95 % CI: -0.91, -0.42) and independent (SMD -0.44; 95 % CI: -0.66, -0.23) reports of outcome showed significant differences favouring the intervention group.

The table provides information about study population characteristics; details of intervention and control groups; main results; quality assessment of studies and the outcome measure contributing to the meta - analysis.

The analysis of the socio - demographic, prenatal and natal parameters of mothers and newborns in the intervention group and control group (Table 1) did not reveal any statistically significant differences in terms of age, living area, education level, mother's profession, number of children, medical follow - up, number of prenatal visits, Apgar score and birth weight.

For all outcomes, in future updates, we plan to carry out analyses, as far as possible, on an intention - to - treat basis, i.e. we would attempt to include all participants randomised to each group in the analyses, and all participants would be analysed in the group to which they were allocated, regardless of whether or not they received the allocated intervention.

Additionally, results from the same analysis looking at breastfeeding promotion interventions found that diarrhoea morbidity was lower in the group receiving the intervention.

The analysis of Table 3, representing the distribution of breastfeeding women followed according to the practice of EB over time in the two groups, showed that the continuation of EB until the age of 6 months was significantly high among mothers in the intervention group compared to the control group (55.2 % against 38.8 %, p = 0.002).

Bivariate analyses showed a significant difference between the groups regarding breastfeeding initiation rate (79 vs. 66 vs. 63 %, respectively; P < 0.05) for the intervention, attention control, and usual care groups.

In the subgroup analysis in which we excluded women whose labour was induced by outpatient administration of prostaglandins, amniotomy or both (118 [4.1 %] of women in the home - birth group, 344 [7.2 %] of those who planned a midwife - attended hospital birth and 778 [14.6 %] of those who planned a physician - attended hospital birth), the relative risks of obstetric interventions and adverse maternal and neonatal outcomes did not change significantly.

Intervention group 1, who received the antenatal intervention, are not included in the analysis in Intervention group 1, who received the antenatal intervention, are not included in the analysis in intervention, are not included in the analysis in this review.

high risk of bias (e.g. numbers or reasons for missing data imbalanced across groups; «as treated» analysis done with substantial departure of intervention received from that assigned at randomisation);

73 % were described as included in the analyses; women in the intervention group that did not receive the intervention as planned were not included.

For cessation of exclusive breastfeeding at up to six months face - to - face interventions may be associated with greater effects than other types of support; however, very high within - group heterogeneity remains in the analysis, and we advise caution when interpreting this result (test for subgroup differences: Chi ² = 37.55, df = 2 (P <.00001, I ² = 94.7 %; Analysanalysis, and we advise caution when interpreting this result (test for subgroup differences: Chi ² = 37.55, df = 2 (P <.00001, I ² = 94.7 %; AnalysisAnalysis 3.2).

Again, there was some evidence that the treatment effect may be partly due to bias; sensitivity analysis including only those studies assessed as being at low risk of bias for allocation concealment showed that results still favoured the intervention group although the treatment effect was less pronounced in the studies at lower risk of bias (Analysanalysis including only those studies assessed as being at low risk of bias for allocation concealment showed that results still favoured the intervention group although the treatment effect was less pronounced in the studies at lower risk of bias (AnalysisAnalysis 1.8).

Potential confounders: women were excluded from intervention group following randomisation if they had received fewer than 2 prenatal lactation consultations; ITT analysis not performed (8 women in control group who met LC excluded); intervention included input by staff caring for both intervention and control groups.

The analysis calculated rates of vaginal birth of a healthy singleton at term in natural and assisted reproduction conception comparing women in the intervention (lifestyle modification) group and those in the control (prompt treatment) group according to six different subgroups: these subgroups were defined by age (over or under 36 years), cycle regularity (ovulatory or anovulatory) and body weight (above or below a BMI of 35 kg / m2).

Analysis of captains» responses to the interventions show that: • All four groups increased their implementation of fuel - efficient behaviors, demonstrating that informing captains of their involvement in a study significantly changed their behavior.

On adjusted analysis, patients in the intervention group were three times more likely to be nonsmokers at one year.

«Exploratory analyses of several secondary outcomes indicated that the sedation protocol was associated with a difference in patients» sedation experience; patients in the intervention group were able to be safely managed in a more awake and calm state while intubated, receiving fewer days of opioid exposure and fewer sedative classes without an increase in inadequate pain or sedation management or clinically significant iatrogenic [consequence of treatment] withdrawal compared with patients receiving usual care, but they experienced more days with reported pain and agitation, suggesting a complex relationship among wakefulness, pain, and agitation,» the authors write.

Analyses carried out within the groups also indicate that the intervention results might even be better in carriers of the APOE4 gene.

Results Among 415357 randomized men (mean [SD] age, 59.0 [5.6] years), 189386 in the intervention group and 219439 in the control group were included in the analysis (n = 408825; 98 %).

March 25, 2015 New analysis finds successes, gaps in community - based diabetes prevention programs Lifestyle interventions designed to reduce the risk of developing type 2 diabetes can work well in group - based, community settings, conclude authors from the University of Chicago Medicine in a new report issued by the New York State Health Foundation (NYSHealth) on March 25, 2015.

The three researchers (WJH: Pubmed, Embase and CNKI, KP: Korean databases, YM: Japanese databases) extracted the data for all descriptive information from the publications, namely published journals, language, study place, study type, subjects, handedness, objective, interventions, control groups, block - design, fMRI device type, software for fMRI data analysis, sample size, and results.

Flowchart illustrating participant recruitment, enrollment, group allocation, screening, baseline data collection, sleep hygiene period, intervention period, and analysis.

Learning under faculty members from both universities, participants engage in large - group «interventions,» small group discussions, and case study analysis.

Analyses for this pilot study will compare the intervention (n = 20) group to a control group (n = 20) to determine whether the intervention affects parental communicative gestures with children during structured free - play observations and whether the intervention affects child gesture or vocabulary development via parent communicative input.

Reports - Assessments Dashboards (Teaching, School Performance), Multi-level Reporting (Student, Group, Class, School, District), Custom Filters, Instructional Recommendations (with links to resources), Test Scores, Standards Mastery (Intervention Alert and Development Profile), Test Sets (Multi-Test, Benchmark, Formative, Student Assessment History), Test Monitoring, Test Properties (Test Blueprints, Item Analysis, Item Parameters), Progress Monitoring (Categorical Growth, Student Growth and Achievement), Custom Test Reports, External Tests

Though most practitioners would argue that little harm is done to the student who receives an intervention that was not absolutely necessary, a recent meta - analysis of research on reading interventions for students in grades K — 3 indicates that moderate to large gains in reading achievement were achieved when teacher - to - student ratios were no more than 1:5, and most interventions used groupings of 1:1 or 1:3 (Scammacca, Vaughn, Roberts, Wanzek & Torgesen, 2007).

With the coach, the Consultant works with small groups of teachers to plan grade - level grouping and interventions based on analysis of assessment data.

Analyses among groups at the transition period are of primary importance because this provided a comparison of the learning of randomly assigned groups of at - risk students with and without intervention services and a comparison to the progress of average students from the same classrooms.

Her research employs social psychological interventions and social network analysis to understand and address real - world problems related to group identity, stigma, and psychological threat in educational settings and beyond.

Managed oversight and completion of psychological evaluations, functional behavioral analysis and development of behavioral intervention plans and risk assessment plans, consultation during crises, individual and group counseling, and participated in interdisciplinary treatment team meetings.

Analyses revealed significant differences in cortisol production at the preschool follow - up, such that children in the ABC intervention group exhibited a typical pattern with higher morning levels and a steep decline across the day, while the control group showed a flatter cortisol rhythm with blunted morning levels.

Results of generalized estimation equation analyses indicate that adolescents in the HIV risk - reduction group were less likely to report having had sexual intercourse in the past 3 months during follow - up (OR, 0.66; 95 % CI, 0.46 - 0.96) than were those in the health - promotion intervention.

Mindfulness - based interventions with youth: A comprehensive meta - analysis of group - design studies.

In the first step, a regression analysis was conducted with change in mental health as the dependent variable and group membership (intervention or control group), parental satisfaction and efficacy as the independent variables.

In a subgroup analysis, non-depressed patients in the intervention group had less suicidal ideation than non-depressed patients in the control group at 2 and 6 months follow up (p < 0.01).

The ANCOVA analyses (table 2) indicated that the parents in the intervention group had improved their mental health more than the parents in the control group 2 months after the intervention (95 % CI, 2.02 to 5.18).

An analysis of covariance (ANCOVA) was performed to study the intervention effects on the dependent variables (ie, the GHQ items and the two subscales of the PSOC) by examining differences between the intervention and control group at follow - up, controlling for baseline measures.

Initial analyses examined potential differences in participant characteristics and demographics across intervention groups at baseline by using independent samples t tests for continuous variables and χ2 analyses for categorical variables.

The economic analysis will use a cost consequences analysis from a government - as - payer perspective.66 It will compare any additional costs experienced over the first 2 years of children's lives in the intervention group compared with the usual care group, to the changes in the multiple outcome measures at 2 years described in table 2.

Methods and analysis This paper presents the protocol for a 3 - arm multicentre randomised controlled trial (RCT) to test the efficacy and cost - effectiveness of the combined internet - based self - help intervention Take Care of You (TCOY) to reduce alcohol misuse and depression symptoms in comparison with a waiting list control group and a comparable intervention focusing on problematic alcohol use only.

Four a priori analyses were undertaken comparing outcomes for the hypothesised subgroups using 2 × 2 factorial ANOVA to assess main (intervention vs comparison group) effects and interaction (intervention by subgroup effects for mothers who were Australian - born vs overseas - born, first - time vs multiparous, had one vs multiple risk factors, and scored EDS ≥ 10 (antenatal psychosocial distress) vs EDS < 10), while maintaining the power of the whole sample.

Recent findings suggest that, regardless of parity, the group benefitting most from nurse home visiting interventions are mothers living in impoverished areas who have lower psychosocial resources during pregnancy (despite the indices used to measure this).1 14 Trials that have had a broader client base, in terms of parity and risk, for example, the New Zealand Early Start programme, 8 15 however, have not yet reported subgroup analyses.

Conventional ANCOVA analyses of intervention group versus control group differences on (a) protective parenting behaviors directly targeted by the intervention and (b) general child management skills, in a sample of families residing in an economically stressed rural area (n = 209), showed significant intervention effects on both measures for both mothers and fathers.

In our analysis of the standardised mean difference effect sizes, we will consider an effect to be clinically relevant, irrespective of statistical significance, by transforming the standardised mean difference effect sizes into common language effect sizes.24, 25 An example of transforming standardised mean difference effect size into common language effect size is shown in a meta - analysis of social skills group interventions for children with autism spectrum disorders by Reichow et al, 26 who showed the weighted mean effect size of d = 0.47 equated to a gain of 24 additional social skills for the treatment group compared with control.

Because analyses reported below revealed significant differences between the full intervention and control groups at age 18 years, analyses were conducted to ascertain the equivalence of these 2 groups on factors that might influence outcomes.

The analysis included three studies and found no significant difference between intervention and control groups.

Study selection and analysis: Randomised controlled trial (RCTs) comparing social skills groups with no intervention, waitlist or treatment as usual in 6 - year - olds to 21 - year - olds with ASD (DSM - IV - TR or ICD - 10 autistic disorder, Asperger's syndrome, pervasive developmental disorder not otherwise specified, Rett's syndrome or childhood disintegrative disorder).

The results of the treatment allocated analyses showed no statistically significant difference between intervention and control groups on any of the outcome measures.