Novel approaches to care delivery that leverage clinical and community resources could improve body mass index (BMI) and family-centered outcomes.OBJECTIVE To examine the extent to which 2 clinical-community interventions improved child BMI z score and health-related quality of life, as well as parental resource empowerment in the Connect for Health Trial. DESIGN, SETTING, AND PARTICIPANTSThis 2-arm, blinded, randomized clinical trial was conducted from June 2014 through March 2016, with measures at baseline and 1 year after randomization. This intent-to-treat analysis included 721 children ages 2 to 12 years with BMI in the 85th or greater percentile from 6 primary care practices in Massachusetts.INTERVENTIONS Children were randomized to 1 of 2 arms: (1) enhanced primary care (eg, flagging of children with BMI Ն 85th percentile, clinical decision support tools for pediatric weight management, parent educational materials, a Neighborhood Resource Guide, and monthly text messages) or (2) enhanced primary care plus contextually tailored, individual health coaching (twice-weekly text messages and telephone or video contacts every other month) to support behavior change and linkage of families to neighborhood resources. MAIN OUTCOMES AND MEASURESOne-year changes in age-and sex-specific BMI z score, child health-related quality of life measured by the Pediatric Quality of Life 4.0, and parental resource empowerment. RESULTS At1year,weobtainedBMIzscoresfrom664children(92%)andfamily-centeredoutcomes from 657 parents (91%). The baseline mean (SD) age was 8.0 (3.0) years; 35% were white (n = 252), 33.3% were black (n = 240), 21.8% were Hispanic (n = 157), and 9.9% were of another race/ethnicity (n = 71). In the enhanced primary care group, adjusted mean (SD) BMI z score was 1.91 (0.56) at baselineand1.85(0.58)at1year,animprovementof−0.06BMIzscoreunits(95%CI,−0.10to−0.02) from baseline to 1 year. In the enhanced primary care plus coaching group, the adjusted mean (SD) BMI z score was 1.87 (0.56) at baseline and 1.79 (0.58) at 1 year, an improvement of −0.09 BMI z score units (95% CI, −0.13 to −0.05). However, there was no significant difference between the 2 intervention arms (difference, −0.02; 95% CI, −0.08 to 0.03; P = .39). Both intervention arms led to improved parental resource empowerment: 0.29 units (95% CI, 0.22 to 0.35) higher in the enhanced primary care group and 0.22 units (95% CI, 0.15 to 0.28) higher in the enhanced primary care plus coaching group. Parents in the enhanced primary care plus coaching group, but not in the enhanced care alone group, reported improvements in their child's health-related quality of life (1.53 units; 95% CI, 0.51 to 2.56). However, there were no significant differences between the intervention arms in either parental resource empowerment (0.07 units; 95% CI, −0.02 to 0.16) or child health-related quality of life (0.89 units; 95% CI, −0.56 to 2.33). CONCLUSIONS AND RELEVANCETwo interventions that included a package of high-quality clinical care for obesity and linkages to communit...

Screen‐media use among young children is highly prevalent, disproportionately high among children from lower‐income families and racial/ethnic minorities, and may have adverse effects on obesity risk. Few systematic reviews have examined early intervention strategies to limit TV or total screen time; none have examined strategies to discourage parents from putting TVs in their children's bedrooms or remove TVs if they are already there. In order to identify strategies to reduce TV viewing or total screen time among children <12 years of age, we conducted a systematic review of seven electronic databases to June 2011, using the terms “intervention” and “television,” “media,” or “screen time.” Peer‐reviewed intervention studies that reported frequencies of TV viewing or screen‐media use in children under age 12 were eligible for inclusion. We identified 144 studies; 47 met our inclusion criteria. Twenty‐nine achieved significant reductions in TV viewing or screen‐media use. Studies utilizing electronic TV monitoring devices, contingent feedback systems, and clinic‐based counseling were most effective. While studies have reduced screen‐media use in children, there are several research gaps, including a relative paucity of studies targeting young children (n = 13) or minorities (n = 14), limited long‐term (>6 month) follow‐up data (n = 5), and few (n = 4) targeting removing TVs from children's bedrooms. Attention to these issues may help increase the effectiveness of existing strategies for screen time reduction and extend them to different populations.

IMPORTANCE Evidence of effective treatment of childhood obesity in primary care settings is limited. OBJECTIVE To examine the extent to which computerized clinical decision support (CDS) delivered to pediatric clinicians at the point of care of obese children, with or without individualized family coaching, improved body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) and quality of care. DESIGN, SETTING, AND PARTICIPANTS We conducted a cluster-randomized, 3-arm clinical trial. We enrolled 549 children aged 6 to 12 years with a BMI at the 95% percentile or higher from 14 primary care practices in Massachusetts from October 1, 2011, through June 30, 2012. Patients were followed up for 1 year (last follow-up, August 30, 2013). In intent-to-treat analyses, we used linear mixed-effects models to account for clustering by practice and within each person. INTERVENTIONS In 5 practices randomized to CDS, pediatric clinicians received decision support on obesity management, and patients and their families received an intervention for self-guided behavior change. In 5 practices randomized to CDS + coaching, decision support was augmented by individualized family coaching. The remaining 4 practices were randomized to usual care. MAIN OUTCOMES AND MEASURES Smaller age-associated change in BMI and the Healthcare Effectiveness Data and Information Set (HEDIS) performance measures for obesity during the 1-year follow-up. RESULTS At baseline, mean (SD) patient age and BMI were 9.8 (1.9) years and 25.8 (4.3), respectively. At 1 year, we obtained BMI from 518 children (94.4%) and HEDIS measures from 491 visits (89.4%). The 3 randomization arms had different effects on BMI over time (P = .04). Compared with the usual care arm, BMI increased less in children in the CDS arm during 1 year (−0.51 [95% CI, −0.91 to −0.11]). The CDS + coaching arm had a smaller magnitude of effect (−0.34 [95% CI, −0.75 to 0.07]). We found substantially greater achievement of childhood obesity HEDIS measures in the CDS arm (adjusted odds ratio, 2.28 [95% CI, 1.15-4.53]) and CDS + coaching arm (adjusted odds ratio, 2.60 [95% CI, 1.25-5.41]) and higher use of HEDIS codes for nutrition or physical activity counseling (CDS arm, 45%; CDS + coaching arm, 25%; P < .001 compared with usual care arm). CONCLUSIONS AND RELEVANCE An intervention that included computerized CDS for pediatric clinicians and support for self-guided behavior change for families resulted in improved childhood BMI. Both interventions improved the quality of care for childhood obesity. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01537510

To assess the feasibility of a pediatric primary care based intervention to promote healthful behaviors among 0–6 month old infants and their mothers. We enrolled two intervention practices (60 mother-infant pairs) and one usual care control practice (24 pairs) in a non-randomized controlled trial. We completed visits and interviews with 80 (95%) pairs at birth and 6 months. The intervention included (1) brief focused negotiation by pediatricians, (2) motivational counseling by a health educator, and (3) group parenting workshops. We evaluated the intervention effects on infant feeding, sleep duration, TV viewing, and mothers’ responsiveness to satiety cues. Maternal behavioral targets included postpartum diet, physical activity, TV and sleep. At 6 months, fewer intervention than control infants had been introduced to solid foods (57% vs. 82%; P = 0.04), and intervention infants viewed less TV (mean 1.2 vs. 1.5 h/d; P = 0.07). Compared to control infants, intervention infants had larger increases in their nocturnal sleep duration from baseline to follow up (mean increase 1.9 vs. 1.3 h/d; P = 0.05); larger reductions in settling time (mean reduction −0.70 vs. −0.10 h/d; P = 0.02); and larger reductions in hours/day of nighttime wakefulness (mean reduction −2.9 vs. −1.5 h/d; P = 0.08). There were no differences in breastfeeding, response to satiety cues, or maternal health behaviors. A program of brief focused negotiation by pediatricians, individual coaching by health educators using motivational interviewing, and group parenting workshops tended to improve infant feeding, sleep and media exposure, but had less impact on mothers’ own health-related behaviors.

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Background: Many pregnant women in the United States do not consume enough docosahexaenoic acid (DHA)-an essential nutrient found in fish. Apparently conflicting findings that fish consumption is beneficial for the developing fetus, yet potentially toxic because of mercury contamination, have created uncertainty about the appropriate fish-consumption advice to provide to pregnant women. Objective: Our objective was to determine knowledge, behaviors, and received advice regarding fish consumption among pregnant women who are infrequent consumers of fish. Design: In 2009-2010 we conducted 5 focus groups with 22 pregnant women from the Boston area who ate ,2 fish servings/wk. We analyzed transcripts by using immersion-crystallization. Results: Many women knew that fish might contain mercury, a neurotoxin, and had received advice to limit fish intake. Fewer women knew that fish contains DHA or what the function of DHA is. None of the women had received advice to eat fish, and most had not received information about which fish types contain more DHA or less mercury. Because of advice to limit fish intake, as well as a lack of information about which fish types they should be eating, many of the women said that they would rather avoid fish than possibly harm themselves or their infants. The participants thought that a physician's advice to eat fish and a readily available reference regarding which fish are safe to consume during pregnancy would likely have encouraged them to eat more fish. Conclusion: Pregnant women might be willing to eat more fish if this were advised by their obstetricians or if they had an accessible reference regarding which types are safe.

BackgroundText messaging (short message service, SMS) is a widely accessible and potentially cost-effective medium for encouraging behavior change. Few studies have examined text messaging interventions to influence child health behaviors or explored parental perceptions of mobile technologies to support behavior change among children.ObjectiveOur aim was to examine parental acceptability and preferences for text messaging to support pediatric obesity-related behavior change.MethodsWe conducted focus groups and follow-up interviews with parents of overweight and obese children, aged 6-12 years, seen for “well-child” care in eastern Massachusetts. A professional moderator used a semistructured discussion guide and sample text messages to catalyze group discussions. Seven participants then received 3 weeks of text messages before a follow-up one-on-one telephone interview. All focus groups and interviews were recorded and transcribed verbatim. Using a framework analysis approach, we systematically coded and analyzed group and interview data to identify salient and convergent themes.ResultsWe reached thematic saturation after five focus groups and seven follow-up interviews with a total of 31 parents of diverse race/ethnicity and education levels. Parents were generally enthusiastic about receiving text messages to support healthy behaviors for their children and preferred them to paper or email communication because they are brief and difficult to ignore. Participants anticipated high responsiveness to messaging endorsed by their child’s doctor and indicated they would appreciate messages 2-3 times/week or more as long as content remains relevant. Suggestions for maintaining message relevance included providing specific strategies for implementation and personalizing information. Most felt the negative features of text messaging (eg, limited message size) could be overcome by providing links within messages to other media including email or websites.ConclusionsText messaging is a promising medium for supporting pediatric obesity-related behavior change. Parent perspectives could assist in the design of text-based interventions.Trial RegistrationClinicaltrials.gov NCT01565161; http://clinicaltrials.gov/show/NCT01565161 (Archived by WebCite at http://www.webcitation.org/6LSaqFyPP).

Background The Connect for Health study is designed to assess whether a novel approach to care delivery that leverages clinical and community resources and addresses socio-contextual factors will improve body mass index (BMI) and family-centered, obesity-related outcomes of interest to parents and children. The intervention is informed by clinical, community, parent, and youth stakeholders and incorporates successful strategies and best practices learned from ‘positive outlier” families, i.e., those who have succeeded in changing their health behaviors and improve their BMI in the context of adverse built and social environments. Design Two-arm, randomized controlled trial with measures at baseline and 12 months after randomization. Participants 2-12 year old children with overweight or obesity (BMI≥ 85th percentile) and their parents/guardians recruited from 6 pediatric practices in eastern Massachusetts. Intervention Children randomized to the intervention arm receive a contextually-tailored intervention delivered by trained health coaches who use advanced geographic information system tools to characterize children's environments and neighborhood resources. Health coaches link families to community-level resources and use multiple support modalities including text messages and virtual visits to support families over a one-year intervention period. The control group receives enhanced pediatric care plus non-tailored health coaching. Main Outcome Measures Lower age-associated increase in BMI over a 1-year period. The main parent- and child-reported outcome is improved health-related quality of life. Conclusions The Connect for Health study seeks to support families in leveraging clinical and community resources to improve obesity-related outcomes that are most important to parents and children.