Maternal Functioning and Depression Scores Improve Significantly With Participation in Visiting Moms® Program.
Jennifer L BarkinLaura BealsChristy C BridgesAmara EzeamamaMarta SeratiMassimiliano BuoliAmber EricksonMegan ChapmanJoan R BlochPublished in: Journal of the American Psychiatric Nurses Association (2019)
BACKGROUND: Postpartum depression is the most common complication of childbearing can affect the entire family unit. Health professionals must strive to identify and develop effective, feasible solutions for women during this critical period. AIMS: To determine whether postpartum maternal functioning (as measured by the Barkin Index of Maternal Functioning) and depression symptoms (as measured by the Patient Health Questionnaire-9) were improved after participation in the Visiting Moms program. METHOD: Paired data were collected from women at program intake and after completion of the Visiting Moms program. Visiting Moms provides services through eastern and central Massachusetts and was designed to support new mothers throughout the infant's first year of life. The study population was composed of adult women living in the Jewish Family and Children's Services geographic catchment area, who enrolled in Visiting Moms between January 1, 2013, and December 31, 2015. Descriptive statistics were calculated for all 402 women enrolled in this timeframe. Utilizing a pretest/posttest design, paired t tests were performed for the Barkin Index of Maternal Functioning (n = 149) and for the Patient Health Questionnaire-9 (n = 156), where women had complete scores at both intake and completion, to determine the program's potential impact on depressive symptoms and functional status. RESULTS: Functioning and depression scores were significantly improved after participation in the program. CONCLUSIONS: Visiting moms, and similar programs, aimed at delivery of enhanced social support, may be effective in promoting mental and emotional wellness among new mothers who are require additional support in the postpartum period.
Keyphrases
- depressive symptoms
- pregnancy outcomes
- social support
- polycystic ovary syndrome
- quality improvement
- healthcare
- mental health
- sleep quality
- public health
- cervical cancer screening
- birth weight
- physical activity
- primary care
- case report
- breast cancer risk
- type diabetes
- young adults
- machine learning
- insulin resistance
- electronic health record
- health information
- weight gain
- metabolic syndrome
- body mass index
- big data
- artificial intelligence
- risk assessment
- childhood cancer