Tailored communication methods as key to implementation of evidence-based solutions in primary child health care.

BACKGROUND: Evidence-based policies should underpin successful implementation of innovations within child health care. The EU-funded Models of Child Health Appraised project enabled research into effective methods to communicate research evidence. The objective of this study was to identify and categorize methods to communicate evidence-based research recommendations and means to tailor this to stakeholder audiences. METHODS: We conducted an online survey among national stakeholders in child health. Analysis of the most effective strategies to communicate research evidence and reach the target audience was carried out in order to ensure implementation of optimal child health care models at a national level. RESULTS: Representatives of stakeholders from 21 of the then 30 EU MS and EEA countries responded to the questionnaire. Three main approaches in defining the strategies for effective communication of research recommendations were observed, namely: dissemination of information, involvement of stakeholders and active attitude towards change expressed in actions. The target audience for communicating recommendations was divided into two layers: proximal, which includes those who are remaining in close contact with the child, and distal, which contains those who are institutionally responsible for high quality of child health services. They should be recipients of evidence-based results communicated by different formats, such as scientific, administrative, popular and personal. CONCLUSIONS: Influential stakeholders impact the process of effective research dissemination and guide necessary actions to strengthen the process of effective communication of recommendations. Communication of evidence-based results should be targeted to each audience's profile, both professional and non-professionals, by adjusting appropriate communication formats.

Costs and effects of conventional vision screening and photoscreening in the Dutch preventive child health care system.

BACKGROUND: Little is known about costs and effects of vision screening strategies to detect amblyopia. Aim of this study was to compare costs and effects of conventional (optotype) vision screening, photoscreening or a combination in children aged 3-6 years. METHODS: Population-based, cross-sectional study in preventive child health care in The Hague. Children aged 3 years (3y), 3 years and 9 months (3y9m) or 5-6 years (5/6y) received the conventional chart vision screening and a test with a photoscreener (Plusoptix S12C). Costs were based on test duration and additional costs for devices and diagnostic work-up. RESULTS: Two thousand, one hundred and forty-four children were included. The estimated costs per child screened were €17.44, €20.37 and €6.90 for conventional vision screening at 3y, 3y9m and 5/6y, respectively. For photoscreening, these estimates were €6.61, €7.52 and €9.40 and for photoscreening followed by vision screening if the result was unclear (combination) €9.32 (3y) and €9.33 (3y9m). The number of children detected with amblyopia by age were 9, 14 and 5 (conventional screening), 6, 13 and 3 (photoscreening) and 10 (3y) and 15 (3y9m) (combination), respectively. The estimated costs per child diagnosed with amblyopia were €1500, €1050 and €860 for conventional vision screening, €860, €420 and €1940 for photoscreening and €730 (3y) and €450 (3y9m) for the combination. CONCLUSIONS: Combining photoscreening with vision screening seems promising to detect amblyopia in children aged 3y/3y9m, whereas conventional screening seems preferable at 5/6y. As the number of study children with amblyopia is small, further research on the effects of these screening alternatives in detecting children with amblyopia is recommended.

Guideline for referring short or tall children in preventive child health care.

AIM: To develop a guideline for preventive child healthcare professionals in order to improve early detection of pathological disorders associated with short stature (or growth faltering) or tall stature (or accelerated growth). METHODS: We updated the previous Dutch guideline for short stature in children aged 0-9 years and extended it to adolescents (10-17 years), and added a guideline for tall stature, based on literature and input from an expert committee. Specificities were calculated in a cohort of healthy Dutch children aged 0-9 years (n = 970). We investigated the impact of a late onset of puberty on height standard deviation score based on the Dutch growth charts. RESULTS: Growth parameters of the guideline include height, the distance between height and target height and change of height over time. Other parameters include diagnostic clues from medical history and physical examination, for example behavioural problems, precocious or delayed puberty, body disproportion and dysmorphic features. CONCLUSION: Preventive child healthcare professionals now have an updated guideline for referring short or tall children to specialist care. Further research is needed on the diagnostic yield after referral and specificity at field level.

Identifying patterns of lifestyle behaviours among children of 3 years old.

BACKGROUND: To identify the patterns of lifestyle behaviours in children aged 3 years, to investigate the parental and child characteristics associated with the lifestyle patterns, and to examine whether the identified lifestyle patterns are associated with child BMI and weight status. METHODS: Cross-sectional data of 2090 children 3 years old participating in the Dutch BeeBOFT study were used. Child dietary intakes, screen times and physical activity were assessed by parental questionnaire, and child weight and height were measured by trained professionals according to a standardized protocol. Latent class analysis was applied to identify patterns of lifestyle behaviours among children. RESULTS: Three subgroups of children with distinct patterns of lifestyle behaviours were identified: the 'unhealthy lifestyle' pattern (36%), the 'low snacking and low screen time' pattern (48%) and the 'active, high fruit and vegetable, high snacking and high screen time' pattern (16%). Children with low maternal educational level, those raised with permissive parenting style (compared those with authoritative parents), and boys were more likely be allocated to the 'unhealthy lifestyle' pattern and the 'active, high fruit and vegetable, high snacking and high screen time' pattern (P < 0.05). No association was found between the identified lifestyle patterns and child BMI z-score at age 3 years. CONCLUSIONS: Three different lifestyle patterns were observed among children aged 3 years. Low maternal educational level, permissive parenting style and male gender of the child were associated with having unhealthy lifestyle patterns for the child.

Factors associated with early introduction of complementary feeding and consumption of non-recommended foods among Dutch infants: the BeeBOFT study.

BACKGROUND: Timing and types of complementary feeding in infancy affect nutritional status and health later in life. The present study aimed to investigate the factors associated with early introduction of complementary feeding (i.e., before age 4 months), and factors associated with infants consumption of non-recommended foods, including sweet beverages and snack foods. METHODS: This study used cross-sectional data from the BeeBOFT study (n = 2157). Data on complementary feeding practices and potential determinants were obtained by questionnaire at infant's age of 6 months. Logistic regression models were used to investigate factors associated with early introduction of complementary feeding and infants' consumption of non-recommended foods. RESULTS: 21.4% of infants had received complementary feeding before 4 months of age. At the age of 6 months, 20.2% of all infants were consuming sweet beverages daily and 16.5% were consuming snack foods daily. Younger maternal age, lower maternal educational level, absence or shorter duration of breastfeeding, parental conviction that "my child always wants to eat when he/she sees someone eating" and not attending day-care were independently associated with both early introduction of complementary feeding and the consumption of non-recommended foods. Higher maternal pre-pregnancy BMI and infant postnatal weight gain were associated only with early introduction of complementary feeding. CONCLUSIONS: We identified several demographical, biological, behavioral, psychosocial, and social factors associated with inappropriate complementary feeding practices. These findings are relevant for designing intervention programs aimed at educating parents. TRIAL REGISTRATION: The trail is registered at Netherlands Trial Register, trail registration number: NTR1831 . Retrospectively registered on May 29, 2009.

Determinants of adherence to wrap-around care in child and family services.

BACKGROUND: The aim of this study is to understand the determinants of adherence to wrap-around care (WAC) by professional care providers working in child and family services. WAC is a care coordination method targeting families with complex needs. The core components of WAC involve activating family members and the social network, integrating the care provider network, and assessing, planning and evaluating the care process. WAC was introduced in the Netherlands using two approaches: the network approach (NA) and the team approach (TA). METHODS: A cross-sectional study was conducted using a digital questionnaire targeted at care providers. After imputation of missing data, univariate and multilevel regression analyses were conducted to study the associations between adherence to the core components of WAC, the determinants of adherence and background characteristics. RESULTS: In total 145 out of 275 care providers (52.7%) responded to the questionnaire. Multilevel regression analysis showed that self-efficacy of the care providers and the way WAC is organised (NA versus TA region) were significantly associated with adherence to core components of WAC. Self-efficacy was significantly associated with all WAC core components (activating family members and the social network: ß (95% confidence interval, CI) = .27(.04-.50), integrating the network of care providers: ß (95% CI) = .27(.05-.50) and assessing, planning and evaluating the care process: ß (95% CI) = .30(.08-.52)). The way WAC is organised was significantly associated to two core components (activating family members and the social network: ß (95% CI) = .18(0.1-.37) and integrating the network of care providers: ß (95% CI) = .25(.09-.42)). CONCLUSION: The way WAC is organised and the self-efficacy of care providers who use WAC are factors that are relevant for the redesign of the strategy for introducing WAC. Longitudinal research into the predictive value of determinants of adherence to WAC is advised.

Personalized Web-Based Advice in Combination With Well-Child Visits to Prevent Overweight in Young Children: Cluster Randomized Controlled Trial.

BACKGROUND: Overweight is a major health issue, and parent-targeted interventions to promote healthy development in children are needed. OBJECTIVE: The study aimed to evaluate E-health4Uth Healthy Toddler, an intervention that educates parents of children aged 18 to 24 months regarding health-related behaviors, as compared with usual care. The effect of this intervention on the following primary outcomes was evaluated when the children were 36 months of age: health-related behaviors (breakfast daily, activity and outside play, sweetened beverage consumption, television (TV) viewing and computer time), body mass index (BMI), and the prevalence of overweight and obesity. METHODS: The BeeBOFT (acronym for breastfeeding, breakfast daily, outside playing, few sweet drinks, less TV viewing) study is a cluster randomized controlled trial involving 51 Youth Health Care (YHC) teams. In total, 1094 parents participated in the control group, and 1008 parents participated in the E-health4Uth Healthy Toddler intervention group. The intervention consisted of Web-based personalized advice given to parents who completed an eHealth module and discussion of the advice during a regular well-child visit. In this study the eHealth module was offered to parents before two regular well-child visits at 18 and 24 months of age. During the well-child visits, the parents' personalized advice was combined with face-to-face counseling provided by the YHC professional. Parents in the control group received usual care, consisting of the regular well-child visits during which general information on child health-related behavior was provided to parents. Parents completed questionnaires regarding family characteristics and health-related behaviors when the child was 1 month (inclusion), 6 months, 14 months, and 36 months (follow-up) of age. The child's height and weight were measured by trained health care professionals from birth through 36 months of age at fixed time points. Multilevel linear and logistic regression models were used to evaluate the primary outcomes at 36 months of age. RESULTS: At 36 months, we observed no differences between health-related behaviors of children, BMI or the percentage of children having overweight or obesity in the control and intervention group (P>.05). An analysis of the intervention effect revealed that boys benefited from eating breakfast daily, non-Dutch children spent more time being active or playing outdoors, children of low-educated parents and of overweight and obese mothers spent less time watching TV or using the computer, and children of normal weight mothers drank less sweetened beverages (P<.05) compared with the control group. CONCLUSIONS: The E-health4Uth Healthy Toddler intervention resulted in small improvements in health-related behaviors among subgroups but had no significant effects with respect to the children's BMI. We conclude that the E-health4Uth Healthy Toddler intervention may be useful for pediatric health care professionals in terms of providing parents with personalized information regarding their child's health-related behaviors. TRIAL REGISTRATION: Netherlands Trial Register: NTR1831; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1831 (Archived by WebCite at http://www.webcitation.org/6mm5YFOB0).

Primary prevention of overweight in preschool children, the BeeBOFT study (breastfeeding, breakfast daily, outside playing, few sweet drinks, less TV viewing): design of a cluster randomized controlled trial.

BACKGROUND: Two overweight prevention interventions were developed to be offered by preventive Youth Health Care (YHC) in addition to the currently applied overweight prevention protocol to parents of 0-3 year old children. The two interventions aim to support parents of preschool children to realize healthy child nutrition and activity behaviors of their young child. The aim of this study is to assess the effects of the two overweight prevention interventions with regard to child health behaviors and child Body Mass Index. METHODS/DESIGN: A cluster randomized controlled trial was conducted among parents and their preschool children who attend one of 51 participating YHC teams. The teams were randomly allocated to one of the two intervention groups, or to the control group (care as usual).The 'BBOFT+' intervention focuses on effective child rearing by parents from birth onwards by enlarging parental skills concerning healthy behavioural life-style habits. Parents who are allocated to the 'E-health4Uth Healthy toddler' intervention group, at the child age of circa 18 and 24 months old, are invited to complete an online E-health module providing tailored health education regarding healthy child nutrition and activity behaviors. The E-health messages are discussed and reinforced during the subsequent regularly scheduled visits by YHC professionals, and were repeated after 4 weeks.The primary outcome measures at child age 3 years are: overweight inducing/reducing behaviors, (for 'BBOFT+' only) healthy sleep, Body Mass Index and prevalence of overweight and obesity. Secondary outcome measures are attitudes and other cognitive characteristics of the parents regarding the overweight-related behaviors of their child, parenting styles and practices, and health-related quality of life of the children. DISCUSSION: We hypothesize that the use of the additional interventions will result in a healthier lifestyle of preschool children and an improved BMI and less development of overweight and obesity compared to usual care. TRIAL REGISTRATION: Nederlands Trial Register NTR1831.

Parenting support to prevent overweight during regular well-child visits in 0-3 year old children (BBOFT+ program), a cluster randomized trial on the effectiveness on child BMI and health behaviors and parenting.

BACKGROUND: Prevention of overweight during early childhood seems promising. OBJECTIVE: To evaluate the effectiveness of the parenting-based BBOFT+ overweight prevention program on child BMI, child health behavior and parenting behavior among 0-36 month old children. BBOFT+ is an acronym for the key healthy lifestyle behaviors that are targeted in the BBOFT+ intervention: breastfeeding (B), daily breakfast (B), daily going outdoors (O), limiting sweet beverages (in Dutch, F) and minimal TV or computer time (T), complemented with healthy sleep behavior and improvement of parenting skills (+). METHODS: A cluster randomized controlled trial in newborn children visiting well-baby clinics, comparing the BBOFT+ intervention (N = 901) with care as usual (CAU) (N = 1094). In both groups, parents received regular well-child visits (±11 visits in the first 3 years). In the intervention group, care was supplemented with the BBOFT+ program, which focuses on improving parenting skills from birth onwards to increase healthy behavior. Questionnaires were filled in at child's age 2-4 weeks, 6, 14 and 36 months. In multivariate analyses we corrected for child's birthweight, age, ethnic background, mother's educational level and BMI. RESULTS: No differences were found in weight status at 36 months between intervention and control group children. At 6 months, BBOFT+ parents reported their child drinking less sweet beverages than control parents (48% vs 54%;p = .027), and going outdoors daily with their child less often (57% vs 62%;p = .03). At 14 months, more BBOFT+ parents than control parents reported to have breastfed for six months or longer (32% vs 29%;p = .022). At 36 months, more BBOFT+ parents than control parents reported their child going outside daily (78% vs 72%;p = .011) and having less TV/computer time on week- (38% vs 46%;p = .001) and weekend days (48% vs 56%;p = .002). Also, BBOFT+ parents reported having more parental control than control parents (3.92 vs 3.89;p = .02). No significant differences were found for daily breakfast, sleep duration and parenting practices in adjusted analyses. CONCLUSION: The BBOFT+ overweight prevention program showed small improvements in parent-reported child health behaviors, compared to care as usual; no effect was observed on child BMI. The identified modifiable elements are potentially relevant for interventions that aim to prevent overweight.

Predictive validity of developmental milestones for detecting limited intellectual functioning.

Developmental milestones are commonly used in child health care, although from many milestones the predictive validity has not been adequately assessed. We aimed to determine the predictive validity of 75 developmental milestones for detecting limited intellectual functioning that can be obtained before the age of 4 years. We performed a case-control study with 148 children aged 5-10 years with limited intellectual functioning (IQ 50-69), who were in special education (cases) and a random sample of 300 children aged 5-10 years who were in regular elementary education (controls). Developmental milestones scores were retrieved from Child Healthcare files. We calculated sensitivity, specificity, positive likelihood ratios (LR+) and diagnostic odds ratios (DOR) for limited intellectual functioning. The LR+ determines whether a test result changes the probability that a condition exists. Given the prevalence of intellectual disability (1-3%), we considered that an LR+ > 10 would be clinically useful, as it increases the a priori probability of limited intellectual functioning from 2% to a posteriori probability of at least 17%. Out of 75 assessed milestones, 50 were included in the analysis. We found nine milestones to have a significant adjusted (for socio-economic status and prematurity) DOR > 1 and a significant LR+ > 10 (assessment age in months between brackets): 'says "dada-baba‴ (9), 'balances head well while sitting' (9), 'sits on buttocks while legs stretched' (9), 'babbles while playing' (12), 'sits in stable position without support' (12), 'walks well alone' (24), 'says "sentences" of 3 or more words' (36), 'places 3 forms in form-box' (36) and 'copies circle' (48). Sensitivities of these 9 milestones varied from 8-54%, specificities of these 9 milestones varied from 95-100%. Combining these milestones at 9, 12, and 36 months respectively resulted in sensitivities of 27-60% and specificities of 94-99%. These nine developmental milestones have substantial predictive validity for limited intellectual functioning.

Primary care in five European countries: A citizens' perspective on the quality of care for children.

OBJECTIVE: As part of the Models of Child Health Appraised (MOCHA) project, this study aimed to answer the following research questions: 1) How do European citizens perceive the quality of primary health care provided for children? And 2) What are their priorities with respect to quality assessment of primary health care aimed at satisfying children's needs? METHODS: Nine potential attributes of quality of primary care were operationalized in 40 quality aspects. An online survey was used to elicit opinions in a representative sample of citizens of Germany, the Netherlands, Poland, Spain, and the United Kingdom. Data collection comprised: background characteristics; perceived quality of primary health care for children; and priority setting of quality aspects. Descriptive analysis was performed and differences between groups were tested using Chi-Square test and ANOVA. RESULTS: Valid results were obtained from 2403 respondents. Mean satisfaction with quality of primary care ranged from 5.5 (Poland) to 7.2 (Spain). On average, between 56% (Poland) and 70% (Netherlands) of respondents had a positive perception of the primary health care system for children in their country. The ability of a child to limit their parents' access to the child's medical records was judged most negatively in all countries (average agreement score 28%, range 12-36%). The right of a child to a confidential consultation was judged most differently between countries (average agreement score 61%, range 40-75%). Overall top-10 priorities in ensuring high quality primary care were: timeliness (accessibility); skills/competences, management, facilities (appropriateness); no costs (affordability); information, dignity/respect (continuity); and swift referrals, collaboration (coordination). DISCUSSION: Between countries, significant differences exist in the perceived quality of primary care and priorities with regard to quality assessment. Taking into account the citizens' perspective in decision-making means that aspects with low perceived quality that are highly prioritized warrant further action.

Sleep and body mass index in infancy and early childhood (6-36 mo): a longitudinal study.

BACKGROUND: Relatively, few longitudinal studies have evaluated the association between sleep and body mass index (BMI) among younger children. In addition, few studies have evaluated the bidirectional longitudinal association between sleep duration and child BMI. OBJECTIVE: The objective of the study is to determine in children aged 6 to 36 months (1) the cross-sectional association of sleep duration and sleep problems with child BMI z score, (2) whether sleep duration predicts changes in child BMI z score, and (3) and whether BMI z score can predict changes in child sleep duration. METHODS: This study used longitudinal data from the BeeBOFT study (N = 2308). Child sleep duration and sleep problems (indicated by night awakenings and sleep-onset latency) were parent reported, and child BMI was measured using a standardized protocol by trained healthcare professionals at approximately 6, 14, and 36 months of age. Linear mixed models and linear regression models were applied to assess the cross-sectional and bidirectional longitudinal associations between sleep and BMI z scores. RESULTS: Cross sectionally, shorter sleep duration was associated with higher BMI z scores at 14 (ß = -0.034, P < 0.05) and 36 months (ß = -0.045, P < 0.05). Sleep duration at 6 or 14 months did not predict BMI z score at either 14 or 36 months. Higher BMI z scores at 6 months predicted shorter sleep duration (hours) at 14 months (ß = -0.129, P < 0.001). No association was found between sleep problems and child BMI z scores. CONCLUSIONS: Cross-sectional associations between shorter sleep duration and higher BMI z score emerged in early childhood (age 14 and 36 mo). Higher BMI z scores may precede shorter sleep duration but not vice versa.

Relationship between socioeconomic status and weight gain during infancy: The BeeBOFT study.

BACKGROUND: Increased weight gain during infancy is a risk factor for obesity and related diseases in later life. The aim of the present study was to investigate the association between socioeconomic status (SES) and weight gain during infancy, and to identify the factors mediating the association between SES and infant weight gain. METHODS: Subjects were 2513 parent-child dyads participating in a cluster randomized controlled intervention study. Family SES was indexed by maternal education level. Weight gain in different time windows (infant age 0-3, 0-6, and 6-12 months) was calculated by subtracting the weight for age z-score (WAZ) between the two time-points. Path analysis was performed to examine the mediating pathways linking SES and infant weight gain. RESULTS: On average, infants of low-educated mothers had a lower birth weight and caught-up at approximately 6 months. In the period of 0-6 months, infants with low-educated mothers had an 0.42 (95% CI 0.27-0.57) higher gain in weight for age z-score compared to children with high-educated mothers. The association between maternal education level and increased infant weight gain in the period of 0-6 months can be explained by infant birth weight, gestational age at child birth, duration of breastfeeding, and age at introduction of complementary foods. After adjusting all the mediating factors, there was no association between maternal education level and infant weight gain. CONCLUSION: Infants with lower SES had an increased weight gain during the first 6 months of infancy, and the effect can be explained by infant birth weight, gestational age at child birth, and infant feeding practices.