Parent and grandparent neonatal intensive care unit visitation for preterm infants.

OBJECTIVE: Characterize family NICU visitation and examine associations with maternal health and social factors and infant health outcomes. STUDY DESIGN: Retrospective cohort study of 167 infants born ≤32 weeks at two urban NICUs 01/2019-03/2020. Average nurse-documented family member visitation and associations of visitation with maternal and infant factors and outcomes were compared. RESULTS: Mothers visited 4.4 days/week, fathers 2.6 days/week, and grandparents 0.4 days/week. Older maternal age, nulliparity, and non-English primary language were associated with more frequent family visitation. Mothers with depression or anxiety history visited less. Maternal depression and public insurance were associated with fewer father visits. Low parental visitation was associated with lower odds of feeding any maternal milk at discharge and low maternal visitation with 11.5% fewer completed infant subspecialty appointments in the year following discharge (95% CI -20.0%, -3.0%). CONCLUSION: Families with social disadvantage visited less often. Parental visitation was associated with infant feeding and follow-up.

Liquid Medication Dosing Errors by Hispanic Parents: Role of Health Literacy and English Proficiency.

OBJECTIVE: Hispanic parents in the United States are disproportionately affected by low health literacy and limited English proficiency (LEP). We examined associations between health literacy, LEP, and liquid medication dosing errors in Hispanic parents. METHODS: Cross-sectional analysis of data from a multisite randomized controlled experiment to identify best practices for the labeling/dosing of pediatric liquid medications (SAFE Rx for Kids study); 3 urban pediatric clinics. Analyses were limited to Hispanic parents of children aged ≤8 years with health literacy and LEP data (n = 1126). Parents were randomized to 1 of 5 groups that varied by pairing of units of measurement on the label/dosing tool. Each parent measured 9 doses (3 amounts [2.5, 5, 7.5 mL] using 3 tools [2 syringes in 0.2 or 0.5 mL increments, and 1 cup]) in random order. Dependent variable was a dosing error of >20% dose deviation. Predictor variables included health literacy (Newest Vital Sign) (limited = 0-3; adequate = 4-6) and LEP (speaks English less than "very well"). RESULTS: A total of 83.1% made dosing errors (mean [SD] errors per parent = 2.2 [1.9]). Parents with limited health literacy and LEP had the greatest odds of making a dosing error compared to parents with adequate health literacy who were English proficient (trials with errors per parent = 28.8 vs 12.9%; adjusted odds ratio = 2.2 [95% confidence interval 1.7-2.8]). Parents with limited health literacy who were English proficient were also more likely to make errors (trials with errors per parent = 18.8%; adjusted odds ratio = 1.4 [95% confidence interval 1.1-1.9]). CONCLUSIONS: Dosing errors are common among Hispanic parents; those with both LEP and limited health literacy are at particular risk. Further study is needed to examine how the redesign of medication labels and dosing tools could reduce literacy- and language-associated disparities in dosing errors.

Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.

BACKGROUND: Citizen science, scientific research conducted by non-specialists, has the potential to facilitate biomedical research using available large-scale data, however validating the results is challenging. The Cell Slider is a citizen science project that intends to share images from tumors with the general public, enabling them to score tumor markers independently through an internet-based interface. METHODS: From October 2012 to June 2014, 98,293 Citizen Scientists accessed the Cell Slider web page and scored 180,172 sub-images derived from images of 12,326 tissue microarray cores labeled for estrogen receptor (ER). We evaluated the accuracy of Citizen Scientist's ER classification, and the association between ER status and prognosis by comparing their test performance against trained pathologists. FINDINGS: The area under ROC curve was 0.95 (95% CI 0.94 to 0.96) for cancer cell identification and 0.97 (95% CI 0.96 to 0.97) for ER status. ER positive tumors scored by Citizen Scientists were associated with survival in a similar way to that scored by trained pathologists. Survival probability at 15 years were 0.78 (95% CI 0.76 to 0.80) for ER-positive and 0.72 (95% CI 0.68 to 0.77) for ER-negative tumors based on Citizen Scientists classification. Based on pathologist classification, survival probability was 0.79 (95% CI 0.77 to 0.81) for ER-positive and 0.71 (95% CI 0.67 to 0.74) for ER-negative tumors. The hazard ratio for death was 0.26 (95% CI 0.18 to 0.37) at diagnosis and became greater than one after 6.5 years of follow-up for ER scored by Citizen Scientists, and 0.24 (95% CI 0.18 to 0.33) at diagnosis increasing thereafter to one after 6.7 (95% CI 4.1 to 10.9) years of follow-up for ER scored by pathologists. INTERPRETATION: Crowdsourcing of the general public to classify cancer pathology data for research is viable, engages the public and provides accurate ER data. Crowdsourced classification of research data may offer a valid solution to problems of throughput requiring human input.