Evidence map›Paper›PMID 23990336›Full record

Trial reportJournal of community health2014

Automated monitoring to detect H1N1 symptoms among urban, Medicaid-eligible, pregnant women: a community-partnered randomized controlled trial.

Amy Filmore Nassar, Farrokh Alemi, Alisha Hetmyer, Yara Alemi, Linda A Randolph, Sharon Landesman Ramey

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of community health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 3 pooled it
0.4field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 3 syntheses or guidelines pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Amy Filmore NassarGeorgetown University, 3700 Reservoir Road NW, Washington, DC, 20007, USA, adf2@georgetown.edu.
Farrokh Alemi
Alisha Hetmyer
Yara Alemi
Linda A Randolph
Sharon Landesman Ramey
Families USA · USCarilion Clinic · USDuke University · USGeorgetown University · USWest Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Influenza A Virus, H1N1 SubtypeMedicaidUrban PopulationAdolescentAdultBlack or African AmericanCommunity Health WorkersFemaleHumansInfluenza, HumanNurse MidwivesPregnancyPregnancy Trimester, SecondPregnancy Trimester, ThirdReferral and ConsultationTelephone

Identifiers

PMID23990336
OpenAlexW1970451597

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.