RESUMO
BACKGROUND: Experiences during the birth hospitalization affect a family's ability to establish and maintain breastfeeding. The Ten Steps to Successful Breastfeeding (Ten Steps) describe evidence-based hospital policies and practices shown to improve breastfeeding outcomes. We aim to describe hospitals' implementation of the Ten Steps, changes over time, and hospitals' implementation of a majority (≥ 6) of the Ten Steps by hospital characteristics and state. METHODS: The biennial Maternity Practices in Infant Nutrition and Care (mPINC) survey assesses all hospitals in the United States (including the District of Columbia and territories) that routinely provide maternity care services. We analyzed data from 2018, 2020, and 2022 survey cycles to describe trends in the prevalence of hospitals implementing maternity care policies and practices that are consistent with the Ten Steps. Differences were calculated using the absolute difference in percentage-points between 2018 and 2022. RESULTS: Between 2018 and 2022, the percentage of hospitals that implemented Step 2: Staff Competency and Step 5: Support Mothers with Breastfeeding increased 12 and 8 percentage points, respectively. The percentage of hospitals that implemented Step 6: Exclusive Breastfeeding Among Breastfed Infants was 7 percentage points lower in 2022 than 2018. Implementation of the remaining seven steps did not change by more than 5 percentage points in either direction between 2018 and 2022. Nationally, the percentage of hospitals that implemented ≥ 6 of the Ten Steps increased from 44.0% in 2018 to 51.1% in 2022. Differences were seen when comparing implementation of ≥ 6 of the Ten Steps by hospital characteristics including state, hospital size, and highest level of neonatal care offered. CONCLUSIONS: Nationally, maternity care policies and practices supportive of breastfeeding continued to improve; however, certain practices lost progress. Differences in implementation of the Ten Steps were observed across states and by certain hospital characteristics, suggesting more work is needed to ensure all people receive optimal breastfeeding support during their delivery hospitalization.
Assuntos
Aleitamento Materno , Humanos , Aleitamento Materno/estatística & dados numéricos , Estados Unidos , Feminino , Gravidez , Recém-Nascido , Política Organizacional , Serviços de Saúde Materna/estatística & dados numéricos , Política de SaúdeRESUMO
PURPOSE: During the early COVID-19 pandemic, an increase in weight gain among the general population was observed; however, gestational weight gain (GWG) was not thoroughly evaluated. We evaluated changes in GWG during the pandemic closures in South Carolina. METHODS: We used live, singleton birth records to compare GWG outcomes among three pregnancy groups occurring before (January 2018-February 2020), during (March-May 2020), and after (June 2020-December 2021) pandemic closures. GWG categories were defined by the Institute of Medicine (IOM) recommendations. We used multinomial logistic regression models to calculate prevalence ratios (PRs) of GWG categories stratified by prepregnancy body mass index (BMI) category. RESULTS: We analyzed 177,571 birth records. Women with normal weight (n = 64,491, 36%) had a slightly lower prevalence of excessive GWG during and after the pandemic closures (PR 0.94; 95% CI: 0.91-0.98 and PR 0.95; 95% CI: 0.93-0.98, respectively). We observed no changes in GWG patterns for women with overweight and obesity. CONCLUSIONS: We found limited changes in GWG patterns for a subset of pregnant women during and after pandemic closures, compared with prepandemic period in South Carolina, countering findings of weight changes among the general population.
Assuntos
COVID-19 , Ganho de Peso na Gestação , Complicações na Gravidez , Feminino , Gravidez , Humanos , Pandemias , South Carolina/epidemiologia , COVID-19/epidemiologia , Aumento de Peso , Sobrepeso/epidemiologia , Índice de Massa Corporal , Resultado da Gravidez/epidemiologia , Complicações na Gravidez/epidemiologiaRESUMO
Introduction: Blood source is a known preanalytical factor affecting hemoglobin (Hb) concentrations, and there is evidence that capillary and venous blood may yield disparate Hb levels and anemia prevalence. However, data from adolescents are scarce. Objective: To compare Hb and anemia prevalence measured by venous and individual pooled capillary blood among a sample of girls aged 10-19 years from 232 schools in four regions of Ghana in 2022. Methods: Among girls who had venous blood draws, a random subsample was selected for capillary blood. Hb was measured using HemoCue® Hb-301. We used Lin's concordance correlation coefficient (CCC) to quantify the strength of the bivariate relationship between venous and capillary Hb and a paired t-test for difference in means. We used McNemar's test for discordance in anemia cases by blood source and weighted Kappa to quantify agreement by anemia severity. A multivariate generalized estimating equation was used to quantify adjusted population anemia prevalence and assess the association between blood source and predicted anemia risk. Results: We found strong concordance between Hb measures (CCC = 0.86). The difference between mean venous Hb (12.8 g/dL, ± 1.1) and capillary Hb (12.9 g/dL, ± 1.2) was not significant (p = 0.26). Crude anemia prevalence by venous and capillary blood was 20.6% and 19.5%, respectively. Adjusted population anemia prevalence was 23.5% for venous blood and 22.5% for capillary (p = 0.45). Blood source was not associated with predicted anemia risk (risk ratio: 0.99, 95% CI: 0.96, 1.02). Discordance in anemia cases by blood source was not significant (McNemar p = 0.46). Weighted Kappa demonstrated moderate agreement by severity (ĸ = 0.67). Among those with anemia by either blood source (n = 111), 59% were identified by both sources. Conclusion: In Ghanaian adolescent girls, there was no difference in mean Hb, anemia prevalence, or predicted anemia risk by blood source. However, only 59% of girls with anemia by either blood source were identified as having anemia by both sources. These findings suggest that pooled capillary blood may be useful for estimating Hb and anemia at the population level, but that caution is needed when interpreting individual-level data.