The prevalence of community programmes and policies to prevent childhood obesity in a diverse sample of US communities: the Healthy Communities Study.

INTRODUCTION: This manuscript describes the prevalence and attributes of community programmes and policies (CPPs) to address childhood obesity documented as occurring in 130 diverse US communities. METHODS: Key informant interviews (N = 1420) and document abstraction were used to identify and characterize CPPs to promote physical activity and healthy nutrition occurring during a 10-year retrospective study period. Data were collected in 2013-2015 and analysed in 2016. RESULTS: Across all 130 communities, 9681 distinct CPPs were reported as occurring by key informants. Of these, 5574 (58%) focused on increasing physical activity, 2596 (27%) on improving nutrition and 1511 (16%) on both behaviours. The mean number of CPPs per community was 74.0, with a range of 25 to 295 across all communities. Most CPPs occurred more than once (63%) and on average lasted 6.1 years. The greatest number of reported CPPs occurred in school settings (44%). CONCLUSIONS: Communities showed a wide range of investment in the amount of CPPs occurring in settings that affect opportunities for children to engage in physical activity and healthy nutrition. The pattern of implementation of CPPs showed variation over time, with an increase in more recent years. This observational study provides new and valuable information about what US communities are doing to prevent childhood obesity.

Recruitment outcomes, challenges and lessons learned: the Healthy Communities Study.

BACKGROUND: The Healthy Communities Study (HCS) was a national study of community programs and policies that aimed to address childhood obesity; it necessitated recruitment of a large sample of children from communities throughout the United States. OBJECTIVE: The HCS aimed to complete visits with an average of 45 children and 12 key informants from at least 120 communities, diverse with respect to region of the country, urbanicity, socioeconomic status, race, ethnicity and intensity of community programs and policies that aim to address childhood obesity. METHODS: Purchased address lists were utilized to select households for recruitment during Wave 1 of the study, and recruitment of families through schools was employed for Wave 2. RESULTS: The HCS successfully obtained approval from 149 school districts and 478 schools in 130 communities, recruited 5138 families, and interviewed 1421 key informants to allow for characterization of overall intensity of obesity prevention/treatment efforts in each community. CONCLUSIONS: Lessons learned are presented. Future studies should plan for inclusion of the following in development of recruitment strategies: literature review, formative research, pilot testing, and ongoing monitoring and adjustment.

The longitudinal relationship between community programmes and policies to prevent childhood obesity and BMI in children: the Healthy Communities Study.

BACKGROUND: Although a national epidemic of childhood obesity is apparent, how community-based programmes and policies (CPPs) affect this outcome is not well understood. OBJECTIVES: This study examined the longitudinal relationship between the intensity of CPPs in 130 communities over 10 years and body mass index (BMI) of resident children. We also examined whether these relationships differ by key family or community characteristics. METHODS: Five thousand one hundred thirty-eight children in grades K-8 were recruited through 436 schools located within 130 diverse US communities. Measures of height, weight, nutrition, physical activity and behavioural and demographic family characteristics were obtained during in-home visits. A subsample of families consented to medical record review; these weight and height measures were used to calculate BMI over time for 3227 children. A total of 9681 CPPs were reported during structured interviews of 1421 community key informants, and used to calculate a time series of CPP intensity scores within each community over the previous decade. Linear mixed effect models were used to assess longitudinal relationships between childhood BMI and CPP intensity. RESULTS: An average BMI difference of 1.4 kg/m2 (p-value < 0.01) was observed between communities with the highest and lowest observed CPP intensity scores, after adjusting for community and child level covariates. BMI/CPP relationships differed significantly by child grade, race/ethnicity, family income and parental education; as well as community-level race/ethnicity. CONCLUSIONS: These results indicate that, over time, more intense CPP interventions are related to lower childhood BMI, and that there are disparities in this association by sociodemographic characteristics of families and communities.

Internal and External Validation of a Computer-Assisted Surveillance System for Hospital-Acquired Infections in a 754-Bed General Hospital in the Netherlands.

OBJECTIVE To evaluate a computer-assisted point-prevalence survey (CAPPS) for hospital-acquired infections (HAIs). DESIGN Validation cohort. SETTING A 754-bed teaching hospital in the Netherlands. METHODS For the internal validation of a CAPPS for HAIs, 2,526 patients were included. All patient records were retrospectively reviewed in depth by 2 infection control practitioners (ICPs) to determine which patients had suffered an HAI. Preventie van Ziekenhuisinfecties door Surveillance (PREZIES) criteria were used. Following this internal validation, 13 consecutive CAPPS were performed in a prospective study from January to March 2013 to determine weekly, monthly, and quarterly HAI point prevalence. Finally, a CAPPS was externally validated by PREZIES (Rijksinstituut voor Volksgezondheid en Milieu [RIVM], Bilthoven, Netherlands). In all evaluations, discrepancies were resolved by consensus. RESULTS In our series of CAPPS, 83% of the patients were automatically excluded from detailed review by the ICP. The sensitivity of the method was 91%. The time spent per hospital-wide CAPPS was ~3 hours. External validation showed a negative predictive value of 99.1% for CAPPS. CONCLUSIONS CAPPS proved to be a sensitive, accurate, and efficient method to determine serial weekly point-prevalence HAI rates in our hospital. Infect Control Hosp Epidemiol 2016;1-6.