title: Automated monitoring to detect H1N1 symptoms among urban, Medicaid-eligible, pregnant women: a community-partnered randomized controlled trial.
abstract: In response to the H1N1 epidemic, we used community health workers to design and implement a randomized controlled trial to test the efficacy of a new automated call-monitoring system for second and third trimester predominantly Medicaid-eligible pregnant women in an urban free standing birth center to promptly detect symptoms of influenza and assure rapid treatment to prevent adverse outcomes from influenza. Daily automated telephone call to second and third trimester pregnant women asking if the woman experienced flu-like symptoms. Calls continued daily until 38 weeks gestation. A community health worker's voice was used for the automated call recording. Positive responses triggered an immediate referral to a nurse-midwife for prompt treatment with anti-viral medication. Fifty pregnant participants were randomized into daily-automated call group (n = 26) or health information group (n = 24). The automated call group participants ranged in age from 14 to 36 (mean = 23.5, SD = 6.3), 84.7 % identified their race/ethnicity as African-American Non-Hispanic, and 80.7 % were Medicaid-Eligible. In the automated call group, 11.5 % chose to be immunized against H1N1. The mean percent of patients reached daily was 45.1 % (SD = 3.2 %) and at least once every 3 days was 65.1 % (SD = 3.1 %). One pregnant woman in the automated call group contracted H1N1 influenza and received prompt anti-viral treatment without any serious outcomes. Participation in daily-automated telephone calls did not differ significantly between patients younger than 18 years old versus patients 18 years or older. There was also no difference in participation between patients with parity of 0 versus patients with parity ≥1. Participation in daily telephone calls significantly (alpha ≤0.05) increased when a community health worker provided personal follow-up of non-responsive participants. 93.3 % of surveyed pregnant women, who received automated daily calls, recommended to use a similar daily call system in response to a future health crisis. Automated daily phone calls, designed and produced by community health workers, is a feasible, well received strategy to provide urgent health information to an urban, Medicaid-eligible group of pregnant women, regardless of age or parity.
authors.affiliation: Georgetown University, 3700 Reservoir Road NW, Washington, DC, 20007, USA, adf2@georgetown.edu.
authors.forename: Amy Filmore
authors.initials: AF
authors.lastname: Nassar
authors.forename: Farrokh
authors.initials: F
authors.lastname: Alemi
authors.forename: Alisha
authors.initials: A
authors.lastname: Hetmyer
authors.forename: Yara
authors.initials: Y
authors.lastname: Alemi
authors.forename: Linda A
authors.initials: LA
authors.lastname: Randolph
authors.forename: Sharon Landesman
authors.initials: SL
authors.lastname: Ramey
mesh_terms: D000293:Adolescent; D000328:Adult; D001741:Black or African American; D003150:Community Health Workers / Q000458:organization & administration; D005260:Female; D006801:Humans; D053118:Influenza A Virus, H1N1 Subtype; D007251:Influenza, Human / Q000175:diagnosis*; D008484:Medicaid; D009721:Nurse Midwives; D011247:Pregnancy; D011262:Pregnancy Trimester, Second; D011263:Pregnancy Trimester, Third; D012017:Referral and Consultation / Q000458:organization & administration; D013689:Telephone; D014481:United States; D014505:Urban Population; D044465:White People; D055815:Young Adult