Evidence map›Paper›PMID 31068160›Full record

Observational studyBMC pregnancy and childbirth2019

Factors associated with recruitment, surveillance participation, and retention in an observational study of pregnant women and influenza.

Mark G Thompson, De-Kun Li, Allison L Naleway, Jeannette R Ferber, Michelle L Henninger, Pat Shifflett, Leslie Z Sokolow, Roxana Odouli, Tia L Kauffman, Rebecca V Fink and 3 more

Abstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

13 authors.

Mark G ThompsonInfluenza Division, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA. isq8@cdc.gov.
De-Kun LiDivision of Research, Kaiser Foundation Research Institute, Oakland, CA, USA.
Allison L NalewayCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
Jeannette R FerberDivision of Research, Kaiser Foundation Research Institute, Oakland, CA, USA.
Michelle L HenningerCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
Pat ShifflettAbt Associates, Inc., Cambridge, MA, USA.
Leslie Z SokolowInfluenza Division, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Roxana OdouliDivision of Research, Kaiser Foundation Research Institute, Oakland, CA, USA.
Tia L KauffmanCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
Rebecca V FinkAbt Associates, Inc., Cambridge, MA, USA.
Joanna BulkleyCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
Janet D CraganNational Center on Birth Defects and Developmental Disabilities, CDC, Atlanta, GA, USA.
Sam BozemanAbt Associates, Inc., Cambridge, MA, USA.

Funding

National Center for Immunization and Respiratory Diseases 200-2010-F-33132
6 · The paper itself

Abstract

backgroundThis report describes the results of recruitment efforts and the subsequent participation of pregnant women in study activities in a 2010-2012 observational study focused on influenza illness and vaccination in California and Oregon, USA.

methodsSocio-demographic and health characteristics extracted from electronic medical records were compared among pregnant women who enrolled in the study, refused to participate, or were never reached for study invitation. These characteristics plus additional self-reported information were compared between women who enrolled in two study tracks: a prospective cohort vs. women enrolled following an acute respiratory illness (ARI) medical encounter. The characteristics of women who participated in weekly ARI surveillance (cohort enrollees, year one) and a 6-month follow-up interview (all enrollees) were also examined.

resultsIn year one, we reached 51% (6938/13,655) of the potential participants we tried to contact by telephone, and 20% (1374/6938) of the women we invited agreed to join the prospective cohort. Women with chronic medical conditions, pregnancy complications, and medical encounters for ARI (prior to pregnancy or during the study period) were more likely to be reached for recruitment and more likely to enroll in the cohort. Twenty percent of cohort enrollees never started weekly surveillance reports; among those who did, reports were completed for 55% of the surveillance weeks. Receipt of the influenza vaccine was higher among women who joined the cohort (76%) than those who refused (56%) or were never reached (54%). In contrast, vaccine uptake among medical enrollees in year one (54%; 53/98) and two (52%; 79/151) was similar to other pregnant women in those years. Study site, white race, non-Hispanic ethnicity, and not having a child aged < 13 years at home were most consistently associated with joining as a cohort or medical enrollee and completing study activities after joining.

conclusionsWe observed systematic differences in socio-demographic and health characteristics across different levels of participant engagement and between cohort and medical enrollees. More methodological research and innovation in conducting prospective observational studies in this population are needed, especially when extended participant engagement and ongoing surveillance are required.

Indexed as

Patient SelectionPopulation SurveillancePregnant PeopleAdultCaliforniaFamily CharacteristicsFemaleHispanic or LatinoHumansInfluenza, HumanInfluenza VaccinesOregonPregnancyPregnancy Complications, InfectiousProspective StudiesVaccinationInfluenza VaccinesAcute respiratory illnessBiasCohortInfluenzaInfluenza vaccine effectivenessPregnant womenRetentionSurveillance

Identifiers

PMID31068160
PMCPMC6507168

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.