ArticleJournal of general internal medicine2020
Multi-morbidity and Highly Effective Contraception in Reproductive-Age Women in the US Intermountain West: a Retrospective Cohort Study.
Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
The trial behind it
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Who cites it
8 citing papers in PubMed.
- Prevalence and Factors Influencing Family Planning Use among Women with Non-Communicable Diseases in Urban Areas in Rwanda.Rwanda journal of medicine and health sciences · 2025Article
- Family Planning for Patients With Inflammatory Bowel Disease in the Post-Dobbs Era.Gastroenterology & hepatology · 2024Article
- Reproductive decision making in women with medical comorbidities: a qualitative study.BMC pregnancy and childbirth · 2023Article
- A blueprint for a new model of sexual and reproductive health care in subspecialty medicine.Health services research · 2023Article
- Major congenital malformations in offspring of women with chronic diseases-impact of the disease or the treatment?AJOG global reports · 2023Article
- Drug purchases prior to conception and the risk of gestational diabetes mellitus.The Journal of international medical research · 2022Article
- Association of Health Insurance, Geography, and Race and Ethnicity With Disparities in Receipt of Recommended Postpartum Care in the US.JAMA health forum · 2022Article
- Classifying Veterans' pre-pregnancy health risks using latent class analysis.Women's health (London, England)Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundWomen with chronic health conditions benefit from reproductive planning and access to highly effective contraception.
objectiveTo determine the prevalence of and relationship between chronic health conditions and use of highly effective contraception among reproductive-age women.
designRetrospective cohort study using electronic health records.
participantsWe identified all women 16-49 years who accessed care in the two largest health systems in the US Intermountain West between January 2010 and December 2014. MAIN MEASURES: We employed administrative codes to identify highly effective contraception and flag chronic health conditions listed in the US Medical Eligibility Criteria for Contraceptive Use (US MEC) and known to increase risk of adverse pregnancy outcomes. We described use of highly effective contraception by demographics and chronic conditions. We used multinomial logistic regression to relate demographic and disease status to contraceptive use. KEY
resultsOf 741,612 women assessed, 32.4% had at least one chronic health condition and 7.3% had two or more chronic conditions. Overall, 7.6% of women with a chronic health condition used highly effective contraception vs. 5.1% of women without a chronic condition. Women with chronic conditions were more likely to rely on public health insurance. The proportion of women using long-acting reversible contraception did not increase with chronic condition number (5.8% with 1 condition vs. 3.2% with 5 or more). In regression models adjusted for age, race, ethnicity, and payer, women with chronic conditions were more likely than those without chronic conditions to use highly effective contraception (aRR 1.4; 95% CI 1.4-1.5). Public insurance coverage was associated with both use of long-acting reversible contraception (aRR 2.2; 95% CI 2.1-2.3) and permanent contraception (aRR 2.9; 95% CI 2.7-3.1).
conclusionsNearly a third of reproductive-age women in a regional health system have one or more chronic health condition. Public insurance increases the likelihood that women with a chronic health condition use highly effective contraception.
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Registered trials
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 Socratic graph.