Evidence map›Paper›PMID 29112671›Full record

ArticleObstetrics and gynecology2017

Travel Characteristics and Pretravel Health Care Among Pregnant or Breastfeeding U.S. Women Preparing for International Travel.

Stefan H F Hagmann, Sowmya R Rao, Regina C LaRocque, Stefanie Erskine, Emily S Jentes, Allison T Walker, Elizabeth D Barnett, Lin H Chen, Davidson H Hamer, Edward T Ryan and 1 more

Open access · greenAbstract read
In one paragraph

Article in Obstetrics and gynecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Malaria in the pregnant traveler.Journal of travel medicine · 2020
    Article
  4. Article
  5. Article
  6. Article
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

11 authors at 1 institution in 1 country.

Stefan H F HagmannDivision of Pediatric Infectious Diseases, Bronx Lebanon Hospital Center, Bronx, New York; the Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York; the Department of Surgery, Boston University Medical Center, Boston, Massachusetts; MGH Biostatistics Center and the Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts; the Department of Medicine, Harvard Medical School, Boston, Massachusetts; the Division of Global Migration and Quarantine, Centers for Disease Control and Prevention, Atlanta, Georgia; the Department of Pediatrics and the Section of Infectious Diseases, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts; the International Clinic, Boston Medical Center, Boston, Massachusetts; the Division of Infectious Diseases and Travel Medicine, Mount Auburn Hospital, Cambridge, Massachusetts; and the Department of Global Health, Boston University School of Public Health, Boston, Massachusetts.
Sowmya R Rao
Regina C LaRocque
Stefanie Erskine
Emily S Jentes
Allison T Walker
Elizabeth D Barnett
Lin H Chen
Davidson H Hamer
Edward T Ryan
Global TravEpiNet Consortium and the Boston Area Travel Medicine Network
Massachusetts General Hospital · US

Funding

ACL HHS U01CK000490NCEZID CDC HHS U01 CK000175NCEZID CDC HHS U01 CK000490
6 · The paper itself

Abstract

objectiveTo study characteristics and preventive interventions of adult pregnant and breastfeeding travelers seeking pretravel health care in the United States.

methodsThis cross-sectional study analyzed data (2009-2014) of pregnant and breastfeeding travelers seen at U.S. travel clinics participating in Global TravEpiNet. Nonpregnant, nonbreastfeeding adult female travelers of childbearing age were used for comparison. We evaluated the prescription of malaria chemoprophylaxis and antibiotics for this population as well as the administration of three travel-related vaccines: hepatitis A, typhoid, and yellow fever. We also evaluated use of tetanus toxoid, reduced diphtheria toxoid, and acellular pertussis and influenza vaccines, because these are widely recommended in pregnancy.

resultsOf 21,138 female travelers of childbearing age in Global TravEpiNet, 170 (0.8%) were pregnant and 139 (0.7%) were breastfeeding. Many traveled to destinations endemic for mosquito-borne illnesses, including malaria (pregnant: 95%; breastfeeding: 94%), dengue (pregnant: 87%; breastfeeding: 81%), or yellow fever (pregnant: 35%; breastfeeding: 50%). Compared with nonpregnant, nonbreastfeeding adult female travelers, eligible pregnant travelers were less likely to be vaccinated against hepatitis A (28% compared with 51%, P<.001) and typhoid (35% compared with 74%, P<.001). More than 20% of eligible pregnant travelers did not receive influenza vaccination. Yellow fever vaccine was occasionally provided to pregnant and breastfeeding travelers traveling to countries entirely endemic for yellow fever (6 [20%] of 30 pregnant travelers and 18 [46%] of 39 breastfeeding travelers). Half of pregnant travelers and two thirds of breastfeeding travelers preparing to travel to malaria-holoendemic countries received a prescription for malaria prophylaxis.

conclusionMost pregnant and breastfeeding travelers seen for pretravel health consultations traveled to destinations with high risk for vector-borne or other travel-related diseases. Destination-specific preventive interventions were frequently underused.

Indexed as

Breast FeedingPregnant PeopleVaccinationAdultChemopreventionCross-Sectional StudiesDengueFemaleHealth Services MisuseHumansMalariaPregnancyTravelTravel-Related IllnessUnited StatesYellow Fever

Identifiers

PMID29112671
PMCPMC5909816
OpenAlexW2770116605

What OpenQuestion holds

Textmetadata
LicenceTDM
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.