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A randomized trial of a serialized self-help smoking cessation program for pregnant women in an HMO.

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Ershoff, D H, Mullen, P D, Quinn, V P·1989·American Journal of Public Health

Abstract

We report the results of a population-based randomized clinical trial that tested the effectiveness of a prenatal self-help smoking cessation program. The intervention consisted predominantly of printed materials received through the mail. The population (n = 242) consisted of a socioeconomically and ethnically diverse group of pregnant women enrolled in a large health maintenance organization (HMO) who reported they were smoking at the time of their first prenatal visit. Biochemical confirmation of continuous abstinence achieved prior to the 20th completed week of pregnancy and lasting through delivery revealed 22.2 per cent of the women in the eight-week serialized program quit versus 8.6 per cent of controls with usual care. The adjusted odds ratio was 2.80 (95 per cent CI = 1.17, 6.69). We conclude that a low-cost prenatal self-help intervention can significantly affect the public health problem of smoking during pregnancy and its associated risks for maternal and child health.

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Metadata

Authors
Ershoff, D. H., Mullen, P. D., & Quinn, V. P.
Venue
American Journal of Public Health
Published
1989-02
Volume
79
Issue
2
Pages
182-187
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2016484929
Cited by
173
References
0
FWCI
5.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A randomized trial of a serialized self-help smoking cessation program for pregnant women in an HMO. https://app.cochat.ai/papers/10.2105/ajph.79.2.182
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Ershoff, D. H., Mullen, P. D., & Quinn, V. P. (1989). A randomized trial of a serialized self-help smoking cessation program for pregnant women in an HMO. American Journal of Public Health. https://doi.org/10.2105/ajph.79.2.182

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.