Innovative application of bar coding technology to breast milk administration.

Hospitalized infants often receive expressed breast milk, either from their mother or from banked milk. Breast milk provides optimal nutrition for infants but because it is a body fluid it carries the risk of disease transmission. Therefore, administering the correct breast milk to hospitalized infants is essential. Bar coding technology, used in hospitals to prevent errors related to medication administration, can be proactively applied to prevent breast milk administration errors. Bar coding systems offer advantages over manual verification processes, including decreasing errors due to human factors and providing for automated entry of feedings in the electronic health record. However, potential barriers to successful implementation must be addressed. These barriers include equipment and training costs, increased time to perform the additional steps with bar coding, and work-arounds.

Depression and Anxiety, Stigma, and Social Support Among Women in the Postpartum Period.

OBJECTIVE: To examine the relationships among depression and anxiety symptomatology, stigma of mental illness, levels of social support, and select demographics among hospitalized women in the postpartum period. DESIGN: Descriptive, cross-sectional, correlational. SETTING: A convenience sample of 105 English-speaking and Spanish-speaking women was recruited and enrolled from a 208-bed free-standing Southern California women's community hospital postpartum unit serving a diverse community. MEASUREMENTS: Data were collected on potential covariates including participants' characteristics, depression and anxiety symptomatology, social support, and stigma. RESULTS: Sixteen participants were classified as high risk for depression or anxiety based on the Edinburgh Postnatal Depression Scale and Generalized Anxiety Disorder-7. Anxiety was significantly associated with all stigma subscales; the strongest association was with Internal Stigma (r = .46, p < .001, moderate effect), followed by Disclosure Stigma (r = .36, p < .001, moderate effect) and External Stigma (r = .30, p = .002, moderate effect). All social support subscales were negatively associated with depression and anxiety; the Friends subscale had the strongest correlations with depression (r = -.27, p = .006, small effect) and anxiety (r = .34, p = .001, moderate effect). Firth (penalized likelihood) logistic regression analysis was conducted to ascertain the effects of study covariates on the likelihood of participants being at risk for postnatal depression or anxiety. The significant factor that increased the odds of participants being in the high-risk group was decreased social support (adjusted OR = 0.46, 95% CI [0.24, 0.76], p = .003). CONCLUSION: These results show the enduring prevalence of postnatal depression and anxiety and the relevance of stigma and social support in aggravating or mitigating symptomatology. There is a need for comprehensive standardized screening to ensure the identification of and referral to treatment for women at risk.