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1.
Lancet Reg Health Am ; 29: 100665, 2024 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-38235370

RESUMEN

Background: In 2016, Brazil scaled up the Criança Feliz Program (PCF, from the acronym in Portuguese), making it one of the largest Early Childhood Development (ECD) programs worldwide. However, the PCF has not been able to achieve its intended impact. We aimed to identify barriers and facilitators to achieving the PCF implementation outcomes across the RE-AIM dimensions (Reach, Effectiveness or Efficacy, Adoption, Implementation and Maintenance) during the COVID-19 pandemic. Methods: This comparative case study analysis selected five contrasting municipalities based on population size, region of the country, implementation model, and length of time implementing the PCF. We conducted 244 interviews with PCF municipal team (municipal managers, supervisors, home visitors), families, and cross-sectoral professionals. A rapid qualitative analysis was used to identify themes across RE-AIM dimensions. Findings: Families' limited knowledge and trust in PCF goals were a barrier to its reach. While the perceived benefit of PCF on parenting skills and ECD enabled reach, the lack of referral protocols to address social needs, such as connecting food-insecure families to food resources, undermined effectiveness. Questions about whether the social assistance sector should be in charge of PCF challenged its adoption. Implementation barriers exacerbated by the COVID-19 pandemic included low salaries, temporary contracts, high turnover, infrequent supervision, lack of an effective monitoring system, and nonexistence or non-functioning multisectoral committees. The absence of institutionalized funding was a challenge for sustainability. Interpretation: Complex intertwined system-level barriers may explain the unsuccessful implementation of PCF. These barriers must be addressed for Brazil to benefit from the enormous reach of the PCF and the evidence-based nurturing care principles it is based upon. Funding: NIH/NICHD.

2.
J Acad Nutr Diet ; 123(10S): S89-S102.e4, 2023 10.
Artículo en Inglés | MEDLINE | ID: mdl-37730309

RESUMEN

BACKGROUND: Food insecurity (FI) prevalence was consistently >10% over the past 20 years, indicating chronic economic hardship. Recession periods exacerbate already high prevalence of FI, reflecting acute economic hardship. To monitor FI and respond quickly to changes in prevalence, an abbreviated food security scale measuring presence and severity of household FI in adults and children is needed. OBJECTIVE: Our aim was to develop an abbreviated, sensitive, specific, and valid food security scale to identify severity levels of FI in households with children. DESIGN: Cross-sectional and longitudinal survey data were analyzed for years 1998 to 2022. PARTICIPANTS/SETTING: Participants were racially diverse primary caregivers of 69,040 index children younger than 4 years accessing health care in 5 US cities. STATISTICAL ANALYSES PERFORMED: Sensitivity, specificity, positive and negative predictive values, accuracy, and area under the receiver operator curve were used to test combinations of questions for the most effective abbreviated scale to assess levels of severity of adult and child FI compared with the Household Food Security Survey Module. Adjusted logistic regression models assessed convergent validity between the Abbreviated Child and Adult Food Security Scale (ACAFSS) and health measures. McNemar tests examined the ACAFSS performance in times of acute economic hardship. RESULTS: The ACAFSS exhibited 91.2% sensitivity; 99.6% specificity; 98.3% and 97.6% positive and negative predictive values, respectively; 97.7% accuracy; and a 99.6% area under the receiver operator curve, while showing high convergent validity. CONCLUSIONS: The ACAFSS is highly sensitive, specific, and valid for detecting severity levels of FI among racially diverse households with children. The ACAFSS is recommended as a stand-alone scale or a follow-up scale after households with children screen positive for FI risk. The ACAFSS is also recommended for planning interventions and evaluating their effects not only on the binary categories of food security and FI, but also on changes in levels of severity, especially when rapid decision making is crucial.


Asunto(s)
Pobreza , Estados Unidos , Humanos , Adulto , Niño , Estudios Transversales , Ciudades , Modelos Logísticos
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