IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v23y2022i6d10.1007_s10198-021-01416-8.html
   My bibliography  Save this article

Income level and antibiotic misuse: a systematic review and dose–response meta-analysis

Author

Listed:
  • Narmeen Mallah

    (Karolinska Institutet
    University of Santiago de Compostela
    Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER-ESP)
    Health Research Institute of Santiago de Compostela (IDIS))

  • Nicola Orsini

    (Karolinska Institutet)

  • Adolfo Figueiras

    (University of Santiago de Compostela
    Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER-ESP)
    Health Research Institute of Santiago de Compostela (IDIS))

  • Bahi Takkouche

    (University of Santiago de Compostela
    Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER-ESP)
    Health Research Institute of Santiago de Compostela (IDIS)
    University of Santiago de Compostela)

Abstract

Objectives To quantify the association between income and antibiotic misuse including unprescribed use, storage of antibiotics and non-adherence. Methods We identified pertinent studies through database search, and manual examination of reference lists of selected articles and review reports. We performed a dose–response meta-analysis of income, both continuous and categorical, in relation to antibiotic misuse. Summary odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated under a random-effects random effects model. Results Fifty-seven studies from 22 countries of different economic class were included. Overall, the data are in agreement with a flat linear association between income standardized to socio-economic indicators and antibiotic misuse (OR per 1 unit increment = 1.00, p-value = 0.954, p-value non-linearity = 0.429). Data were compatible with no association between medium and high income with general antibiotic misuse (OR 1.04; 95% CI 0.89, 1.20 and OR 1.03; 95% CI 0.82, 1.29). Medium income was associated with 19% higher odds of antibiotic storage (OR 1.19; 95% CI 1.07, 1.32) and 18% higher odds of any aspect of antibiotic misuse in African studies (OR 1.18; 95% CI 1.00, 1.39). High income was associated with 51% lower odds of non-adherence to antibiotic treatment (OR 0.49; 95% CI 0.34, 0.60). High income was also associated with 11% higher odds of any antibiotic misuse in upper-middle wealth countries (OR 1.11; 95% CI 1.00, 1.22). Conclusions The association between income and antibiotic misuse varies by type of misuse and country wellness. Understanding the socioeconomic properties of antibiotic misuse should prove useful in developing related intervention programs and health policies.

Suggested Citation

  • Narmeen Mallah & Nicola Orsini & Adolfo Figueiras & Bahi Takkouche, 2022. "Income level and antibiotic misuse: a systematic review and dose–response meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1015-1035, August.
    • Handle: RePEc:spr:eujhec:v:23:y:2022:i:6:d:10.1007_s10198-021-01416-8
    DOI: 10.1007/s10198-021-01416-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10198-021-01416-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10198-021-01416-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    2. Lina Cheaito & Sophie Azizi & Nadine Saleh & Pascale Salameh, 2014. "Assessment of self-medication in population buying antibiotics in pharmacies: a pilot study from Beirut and its suburbs," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(2), pages 319-327, April.
    3. Yanhong Hu & Xiaomin Wang & Joseph D. Tucker & Paul Little & Michael Moore & Keiji Fukuda & Xudong Zhou, 2018. "Knowledge, Attitude, and Practice with Respect to Antibiotic Use among Chinese Medical Students: A Multicentre Cross-Sectional Study," IJERPH, MDPI, vol. 15(6), pages 1-14, June.
    4. Nicola Orsini, 2021. "Weighted mixed-effects dose–response models for tables of correlated contrasts," Stata Journal, StataCorp LP, vol. 21(2), pages 320-347, June.
    5. Piette, J.D. & Heisler, M. & Wagner, T.H., 2004. "Cost-related medication underuse among chronically ill adults: The treatments people forgo, how often, and who is at risk," American Journal of Public Health, American Public Health Association, vol. 94(10), pages 1782-1787.
    6. Ali Hassan Gillani & Wenjing Ji & Waqar Hussain & Ali Imran & Jie Chang & Caijun Yang & Yu Fang, 2017. "Antibiotic Self-Medication among Non-Medical University Students in Punjab, Pakistan: A Cross-Sectional Survey," IJERPH, MDPI, vol. 14(10), pages 1-9, September.
    7. Hui Pan & Binglin Cui & Dangui Zhang & Jeremy Farrar & Frieda Law & William Ba-Thein, 2012. "Prior Knowledge, Older Age, and Higher Allowance Are Risk Factors for Self-Medication with Antibiotics among University Students in Southern China," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-8, July.
    8. Xiaomin Wang & Leesa Lin & Ziming Xuan & Lu Li & Xudong Zhou, 2018. "Keeping Antibiotics at Home Promotes Self-Medication with Antibiotics among Chinese University Students," IJERPH, MDPI, vol. 15(4), pages 1-13, April.
    Full references (including those not matched with items on IDEAS)

    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. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    2. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    3. Damiano Pizzol & Mike Trott & Igor Grabovac & Mario Antunes & Anna Claudia Colangelo & Simona Ippoliti & Cristian Petre Ilie & Anne Carrie & Nicola Veronese & Lee Smith, 2021. "Laparoscopy in Low-Income Countries: 10-Year Experience and Systematic Literature Review," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    4. Wolfgang Goymann & John C. Wingfield, 2014. "Male-to-female testosterone ratios, dimorphism, and life history—what does it really tell us?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(4), pages 685-699.
    5. Alderotti, Giammarco & Rapallini, Chiara & Traverso, Silvio, 2023. "The Big Five personality traits and earnings: A meta-analysis," Journal of Economic Psychology, Elsevier, vol. 94(C).
    6. Daniele Zago & Maria Eugênia Andrighetto Canozzi & Júlio Otávio Jardim Barcellos, 2020. "Pregnant beef cow’s nutrition and its effects on postnatal weight and carcass quality of their progeny," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-20, August.
    7. Viktoria Maria Baumeister & Leonie Petra Kuen & Maike Bruckes & Gerhard Schewe, 2021. "The Relationship of Work-Related ICT Use With Well-being, Incorporating the Role of Resources and Demands: A Meta-Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    8. Gundula Krack, 2019. "How to make value-based health insurance designs more effective? A systematic review and meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 841-856, August.
    9. Angélica Pigola & Priscila Rezende Costa, 2022. "In search of understanding about knowledge and learning on innovation performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 3995-4022, July.
    10. Christopher Snyder & Ran Zhuo, 2018. "Sniff Tests as a Screen in the Publication Process: Throwing out the Wheat with the Chaff," NBER Working Papers 25058, National Bureau of Economic Research, Inc.
    11. Chuang Yuan & Jing Wang & Michael Ying, 2016. "Predictive Value of Carotid Distensibility Coefficient for Cardiovascular Diseases and All-Cause Mortality: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-15, April.
    12. Francisco Javier Blanco-Encomienda & Rocío García-Cantero & María José Latorre-Medina, 2020. "Association between Work-Related Rumination, Work Environment and Employee Well-Being: A Meta-Analytic Study of Main and Moderator Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 887-910, August.
    13. Pedro L. Cosio & Manuel Crespo-Posadas & Álvaro Velarde-Sotres & Mireia Pelaez, 2021. "Effect of Chronic Resistance Training on Circulating Irisin: Systematic Review and Meta-Analysis of Randomized Controlled Trials," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    14. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    15. Sesha Kethineni & Susan Frazier‐Kouassi & Yuki Shigemoto & Wesley Jennings & Stephanie M. Cardwell & Alex R. Piquero & Kimberly Gay & Dayanand Sundaravadivelu, 2021. "PROTOCOL: Effectiveness of parent‐engagement programs to reduce truancy and juvenile delinquency: A systematic review," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    16. Charlotte E. Gill & Jordan Hyatt & Lawrence W. Sherman, 2010. "PROTOCOL: Probation Intensity Effects on Probationers' Criminal Conduct," Campbell Systematic Reviews, John Wiley & Sons, vol. 6(1), pages 1-25.
    17. Ritchwood, Tiarney D. & Ford, Haley & DeCoster, Jamie & Sutton, Marnie & Lochman, John E., 2015. "Risky sexual behavior and substance use among adolescents: A meta-analysis," Children and Youth Services Review, Elsevier, vol. 52(C), pages 74-88.
    18. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    19. Jonas Moss & Riccardo De Bin, 2023. "Modelling publication bias and p‐hacking," Biometrics, The International Biometric Society, vol. 79(1), pages 319-331, March.
    20. Carla Haelermans & Lex Borghans, 2012. "Wage Effects of On-the-Job Training: A Meta-Analysis," British Journal of Industrial Relations, London School of Economics, vol. 50(3), pages 502-528, September.

    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:spr:eujhec:v:23:y:2022:i:6:d:10.1007_s10198-021-01416-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.