IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i3p1456-d736063.html
   My bibliography  Save this article

Use of Prescribed Drugs to Treat Chronic Diseases during Pregnancy in Outpatient Care in Switzerland between 2014 and 2018: Descriptive Analysis of Swiss Health Care Claims Data

Author

Listed:
  • Eva Gerbier

    (Service of Pharmacy, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
    Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland)

  • Sereina M. Graber

    (Department of Health Sciences, Helsana Insurance Group, 8001 Zurich, Switzerland)

  • Marlene Rauch

    (Basel Pharmacoepidemiology Unit, Division of Clinical Pharmacy and Epidemiology, Department of Pharmaceutical Sciences, University of Basel, 4031 Basel, Switzerland
    Hospital Pharmacy, University Hospital Basel, 4056 Basel, Switzerland)

  • Carole A. Marxer

    (Basel Pharmacoepidemiology Unit, Division of Clinical Pharmacy and Epidemiology, Department of Pharmaceutical Sciences, University of Basel, 4031 Basel, Switzerland
    Hospital Pharmacy, University Hospital Basel, 4056 Basel, Switzerland)

  • Christoph R. Meier

    (Basel Pharmacoepidemiology Unit, Division of Clinical Pharmacy and Epidemiology, Department of Pharmaceutical Sciences, University of Basel, 4031 Basel, Switzerland
    Hospital Pharmacy, University Hospital Basel, 4056 Basel, Switzerland)

  • David Baud

    (Materno-Fetal and Obstetrics Research Unit, Department “Woman-Mother-Child”, Lausanne University Hospital, 1011 Lausanne, Switzerland)

  • Ursula Winterfeld

    (Swiss Teratogen Information Service and Clinical Pharmacology Service, Lausanne University Hospital, 1011 Lausanne, Switzerland)

  • Eva Blozik

    (Department of Health Sciences, Helsana Insurance Group, 8001 Zurich, Switzerland
    Institute of Primary Care, University Hospital of Zurich, 8091 Zurich, Switzerland)

  • Daniel Surbek

    (Department of Obstetrics and Gynaecology, Bern University Hospital, Insel Hospital, University of Bern, 3010 Bern, Switzerland)

  • Julia Spoendlin

    (Basel Pharmacoepidemiology Unit, Division of Clinical Pharmacy and Epidemiology, Department of Pharmaceutical Sciences, University of Basel, 4031 Basel, Switzerland
    Hospital Pharmacy, University Hospital Basel, 4056 Basel, Switzerland
    These authors contributed equally to this work.)

  • Alice Panchaud

    (Service of Pharmacy, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
    Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland
    These authors contributed equally to this work.)

Abstract

Evidence on the use of drugs during pregnancy in Switzerland is lacking. We aimed to evaluate the utilisation of drugs to treat chronic diseases during pregnancy in Switzerland. We identified all pregnancies (excluding abortions) in Swiss Helsana claims data (2014–2018). In those, we identified all claims for drugs to treat a chronic disease, which typically affects women of childbearing age. Potentially teratogenic/fetotoxic drugs were evaluated during specific risk periods. Results were demographically weighted relative to the Swiss population. We identified claims for ≥1 drug of interest during 22% of 369,371 weighted pregnancies. Levothyroxine was most frequently claimed (6.6%). Antihypertensives were claimed during 5.3% (3.9% nifedipine in T3). Renin–Angiotensin–Aldosterone System (RAAS) inhibitors were dispensed to 0.3/10,000 pregnancies during trimester 2 (T2) or trimester 3 (T3). Insulin was claimed during 3.5% of pregnancies, most frequently in T3 (3.3%). Exposure to psychotropic drugs was 3.8% (mostly Selective serotonin reuptake inhibitors (SSRIs)) and to drugs for obstructive airway diseases 3.6%. Traditional immunosuppressants (excluding corticosteroids) were claimed during 0.5% (mainly azathioprine and hydroxychloroquine), biologic immunosuppressants (Tumour necrosis factor-alpha (TNF-alpha) inhibitors and interleukin inhibitors) during 0.2%, and drugs to treat multiple sclerosis during 0.09% of pregnancies. Antiretrovirals were claimed during 0.15% of pregnancies. Patterns of drug claims were in line with treatment recommendations, but relatively rare events of in utero exposure to teratogenic drugs may have had severe implications for those involved.

Suggested Citation

  • Eva Gerbier & Sereina M. Graber & Marlene Rauch & Carole A. Marxer & Christoph R. Meier & David Baud & Ursula Winterfeld & Eva Blozik & Daniel Surbek & Julia Spoendlin & Alice Panchaud, 2022. "Use of Prescribed Drugs to Treat Chronic Diseases during Pregnancy in Outpatient Care in Switzerland between 2014 and 2018: Descriptive Analysis of Swiss Health Care Claims Data," IJERPH, MDPI, vol. 19(3), pages 1-25, January.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1456-:d:736063
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/3/1456/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/3/1456/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Megan E. B. Clowse & Steven R. Feldman & John D. Isaacs & Alexandra B. Kimball & Vibeke Strand & Richard B. Warren & Daniel Xibillé & Yan Chen & Donald Frazier & Jamie Geier & James Proulx & Amy Marre, 2016. "Pregnancy Outcomes in the Tofacitinib Safety Databases for Rheumatoid Arthritis and Psoriasis," Drug Safety, Springer, vol. 39(8), pages 755-762, August.
    2. Lumley, Thomas, 2004. "Analysis of Complex Survey Samples," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 9(i08).
    3. Rongjing Song & Hepu Lin & Yue Chen & Xiuying Zhang & Wanyu Feng, 2017. "Effects of methimazole and propylthiouracil exposure during pregnancy on the risk of neonatal congenital malformations: A meta-analysis," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-18, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karel Allegaert, 2022. "Pharmacotherapy during Pregnancy, Childbirth, and Lactation," IJERPH, MDPI, vol. 19(18), pages 1-5, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maciej Berk{e}sewicz & Herman Cherniaiev & Robert Pater, 2021. "Estimating the number of entities with vacancies using administrative and online data," Papers 2106.03263, arXiv.org.
    2. J. Michael Brick & Michael E. Jones, 2008. "Propensity to respond and nonresponse bias," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 51-73.
    3. Jacques Muthusi & Samuel Mwalili & Peter Young, 2019. "%svy_logistic_regression: A generic SAS macro for simple and multiple logistic regression and creating quality publication-ready tables using survey or non-survey data," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.
    4. Jonathan Wakefield & Taylor Okonek & Jon Pedersen, 2020. "Small Area Estimation for Disease Prevalence Mapping," International Statistical Review, International Statistical Institute, vol. 88(2), pages 398-418, August.
    5. Alex Fenton, 2013. "Small-area measures of income poverty," CASE Papers case173, Centre for Analysis of Social Exclusion, LSE.
    6. repec:cep:sticas:/173 is not listed on IDEAS
    7. Mei‐Chih Meg Tseng & Yi‐Ping Lin & Fu‐Chang Hu & Tsun‐Jen Cheng, 2013. "Risks Perception of Electromagnetic Fields in Taiwan: The Influence of Psychopathology and the Degree of Sensitivity to Electromagnetic Fields," Risk Analysis, John Wiley & Sons, vol. 33(11), pages 2002-2012, November.
    8. Raphael Nishimura & James Wagner & Michael Elliott, 2016. "Alternative Indicators for the Risk of Non-response Bias: A Simulation Study," International Statistical Review, International Statistical Institute, vol. 84(1), pages 43-62, April.
    9. Camelia Herman & Colleen M. Leonard & Perpetua Uhomoibhi & Mark Maire & Delynn Moss & Uwem Inyang & Ado Abubakar & Abiodun Ogunniyi & Nwando Mba & Stacie M. Greby & McPaul I. Okoye & Nnaemeka C. Iriem, 2023. "Non-falciparum malaria infection and IgG seroprevalence among children under 15 years in Nigeria, 2018," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    10. Elijah O. Onsomu & DaKysha Moore & Benta A. Abuya & Peggy Valentine & Vanessa Duren-Winfield, 2013. "Importance of the Media in Scaling-Up HIV Testing in Kenya," SAGE Open, , vol. 3(3), pages 21582440134, July.
    11. Vinas-Forcade, Jennifer & Seijas, María Noé, 2021. "To teach or not to teach: Negative selection into the teaching profession in Uruguay," International Journal of Educational Development, Elsevier, vol. 84(C).
    12. Lenis, David & Ackerman, Benjamin & Stuart, Elizabeth A., 2018. "Measuring model misspecification: Application to propensity score methods with complex survey data," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 48-57.
    13. Sofia Gil-Clavel & Emilio Zagheni & Valeria Bordone, 2022. "Close Social Networks Among Older Adults: The Online and Offline Perspectives," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 1111-1135, June.
    14. Matthew R. Williams & Terrance D. Savitsky, 2021. "Uncertainty Estimation for Pseudo‐Bayesian Inference Under Complex Sampling," International Statistical Review, International Statistical Institute, vol. 89(1), pages 72-107, April.
    15. Jeanna Parsons Leigh & Kirsten Fiest & Rebecca Brundin-Mather & Kara Plotnikoff & Andrea Soo & Emma E Sypes & Liam Whalen-Browne & Sofia B Ahmed & Karen E A Burns & Alison Fox-Robichaud & Shelly Kupsc, 2020. "A national cross-sectional survey of public perceptions of the COVID-19 pandemic: Self-reported beliefs, knowledge, and behaviors," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    16. Wang, Jianqiang C., 2012. "Sample distribution function based goodness-of-fit test for complex surveys," Computational Statistics & Data Analysis, Elsevier, vol. 56(3), pages 664-679.
    17. Alejandro Aybar-Flores & Alvaro Talavera & Elizabeth Espinoza-Portilla, 2023. "Predicting the HIV/AIDS Knowledge among the Adolescent and Young Adult Population in Peru: Application of Quasi-Binomial Logistic Regression and Machine Learning Algorithms," IJERPH, MDPI, vol. 20(7), pages 1-29, March.
    18. Joseph R Starnes & Chiara Di Gravio & Rebecca Irlmeier & Ryan Moore & Vincent Okoth & Ash Rogers & Daniele J Ressler & Troy D Moon, 2021. "Characterizing multidimensional poverty in Migori County, Kenya and its association with depression," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-10, November.
    19. Christian A. Maino Vieytes & Ruoqing Zhu & Francesca Gany & Amirah Burton-Obanla & Anna E. Arthur, 2022. "Empirical Dietary Patterns Associated with Food Insecurity in U.S. Cancer Survivors: NHANES 1999–2018," IJERPH, MDPI, vol. 19(21), pages 1-21, October.
    20. Inghels, Maxime & Kim, Hae-Young & Mathenjwa, Thulile & Shahmanesh, Maryam & Seeley, Janet & Wyke, Sally & McGrath, Nuala & Sartorius, Benn & Yapa, H. Manisha & Dobra, Adrian & Bärnighausen, Till & Ta, 2022. "Can a conditional financial incentive (CFI) reduce socio-demographic inequalities in home-based HIV testing uptake? A secondary analysis of the HITS clinical trial intervention in rural South Africa," Social Science & Medicine, Elsevier, vol. 311(C).
    21. Shulgin, Sergey & Scherbov, Sergey & Zinkina, Yulia & Novikov, Kirill, 2017. "Medical-Demographic Differentiation According to Educational Level," Working Papers 041719, Russian Presidential Academy of National Economy and Public Administration.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1456-:d:736063. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.