Skip to main content

Advertisement

Log in

Tailored notification encouraging examinees with abnormal glucose levels in health checkups to seek medical care

  • Original Article
  • Published:
Diabetology International Aims and scope Submit manuscript

Abstract

The aims of this study were to generate a written notification message using social marketing methods to encourage examinees with abnormal glucose levels to seek medical care and to evaluate the optimized message. A semi-structured interview was conducted among examinees with abnormal glucose levels who had never visited a medical clinic for diagnosis of hyperglycemia. Patients were divided into two segments. A tailored notification letter was developed according to these segments using a social marketing approach. Other examinees were prospectively enrolled as the control group. The tailored notification for Segment 1 included a web code to access a health care provider. Future loss of time and money was emphasized in the message for Segment 2. According to responses in a telephone interview, 654 examinees with abnormal fasting glucose levels in a health checkup were divided into Group 1 (n = 178), Group 2 (n = 24), and a control group (n = 452) and given a tailored or conventional notification letter. The proportion of examinees who actually visited a health care provider in Group 1 (20.8%) was significantly higher than that in the control group (11.1%); no examinees in Group 2 visited a health care provider. Receipt of a tailored notification was a significant factor associated with visiting a health care provider, independent of age, sex, or severity of glucose abnormality (odds ratio 1.77; p = 0.02). Our results showed that tailored notification developed using a social marketing approach prompted health checkup examinees with abnormal glucose levels to seek medical care.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Saeedi P, Petersohn I, Salpea P, et al. IDF Diabetes Atlas Committee. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:1–9 (107843).

    Google Scholar 

  2. NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in diabetes since 1980 a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet. 2016;2016(387):1513–30.

    Google Scholar 

  3. Gakidou E, Mallinger L, Abbott-Klafter J, et al. Management of diabetes and associated cardiovascular risk factors in seven countries: a comparison of data from national health examination surveys. Bull World Health Organ. 2011;89:172–83.

    Article  Google Scholar 

  4. Ministry of Health, Labor and Welfare. Summary of 2016 national health and nutrition survey results. http://www.mhlw.go.jp/file/04-Houdouhappyou-10904750-KenkoukyokuGantaisakukenkouzoushinka/kekkagaiyou_7.pdf. Accessed 10 June 2020.

  5. Goto E, Ishikawa H, Okuhara T, Kato M, Okada M, Kiuchi T. Factors associated with adherence to recommendations to visit a physician after annual health checkups among Japanese employees: a cross-sectional observational study. Ind Health. 2018;56:155–9.

    Article  Google Scholar 

  6. Kotler P, Lee NR. Up and out of poverty: the social marketing solution—a toolkit for policy markers. Entrepreneurs, NGOs, companies, and governments. London: Pearson Education. Inc; 2009. (Japanese version).

    Google Scholar 

  7. Andreasen A. Social marketing benchmark criteria. 2010. http://www.thensmc.com/sites/default/files/benchmark-criteria-090910.pdf. Accessed 1 Mar 2020.

  8. Gordon R, McDermott L, Stead M, Angus K. The effectiveness of social marketing interventions for health improvement: what’s the evidence? Public Health. 2006;120:1133–9.

    Article  Google Scholar 

  9. Aceves-Martins M, Llauradó E, Tarro L, et al. Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: a systematic review and meta-analysis. Nutr Rev. 2016;74:337–51.

    Article  Google Scholar 

  10. Dietrich T, Rundle-Thiele S, Schuster L, et al. Differential segmentation responses to an alcohol social marketing program. Addict Behav. 2015;49:68–77.

    Article  Google Scholar 

  11. Kavin M, Añel-Tiangco RM, Mauger DT, Gabbay RA. Development and pilot of a low-literacy diabetes education book using social marketing techniques. Diabetes Ther. 2010;1:93–102.

    Article  Google Scholar 

  12. Hirai K, Ishikawa Y, Fukuyoshi J, et al. Tailored message interventions versus typical messages for increasing participation in colorectal cancer screening among a non-adherent population: a randomized controlled trial. BMC Public Health. 2016;16:1–8.

    Article  Google Scholar 

  13. Harada K, Hirai K, Arai H, et al. Worry and intention among Japanese women: implications for an audience segmentation strategy to promote mammography adoption. Health Commun. 2013;28:709–17.

    Article  Google Scholar 

  14. Fishbein M. A reasoned action approach to health promotion. Med Decis Making. 2008;28:834–44.

    Article  Google Scholar 

  15. Hamanosono M, Araki Y, Shimohara Y, Fukushima N, Sakata K, Suga M. Analysis of determining factors in motivating follow-up subjects to undergo further examinations. Ningen Dock. 2014;29:496–502 (in Japanese).

    Google Scholar 

  16. Thaler RH, Sunstein CR. Nudge—improving decisions about health, wealth and happiness. Penguin Books; 2009.

  17. Möllenkamp M, Zeppernick M, Schreyögg J. The effectiveness of nudges in improving the self-management of patients with chronic diseases: a systematic literature review. Health Policy. 2019;123:1199–209.

    Article  Google Scholar 

  18. Velema E, Vyth EL, Hoekstra T, Steenhuis IHM. Nudging and social marketing techniques encourage employees to make healthier food choices: a randomized controlled trial in 30 worksite cafeterias in The Netherlands. Am J Clin Nutr. 2018;107:236–46.

    Article  Google Scholar 

  19. Misawa D, Fukuyoshi J, Sengoku S. Cancer prevention using machine learning, nudge theory and social impact bond. Int J Environ Res Public Health. 2020;17:1–11.

    Article  Google Scholar 

  20. Andreasen AR. Marketing social marketing in the social change marketplace. J Public Policy. 2002;21:3–13.

    Google Scholar 

  21. Grier S, Bryant CA. Social marketing in public health. Annu Rev Public Health. 2005;26:319–39.

    Article  Google Scholar 

  22. Goto K, Miwa I. Examination of approaches to improve the examination rate after recommending examinations for people suspected of having diabetes. J Japan Pharm Commun Soc. 2016;14:14–22 (in Japanese).

    Google Scholar 

  23. Okudaira M, Uchigata Y, Okada T, Iwamoto Y. Influence of health checkup and previous intermittent treatment on diabetic complications. J Japan Diabetes Soc. 2003;46:781–5 (in Japanese).

    Google Scholar 

  24. Ministry of Health, Labor and Welfare: 21st Social Security Council Medical Insurance Subcommittee Handouts. https://www.mhlw.go.jp/shingi/2005/10/s1027-5c5.html. Accessed 14 Feb 2021.

  25. Okada M, Oeda S, Katsuki N, et al. Recommendations from primary care physicians, family, friends, and work colleagues influence patients’ decisions related to hepatitis screening, medical examinations and antiviral treatment. Exp Ther Med. 2020;29:73–82.

    Google Scholar 

Download references

Acknowledgements

We would like to thank Ms. Yoshiko Tohmine of Cancer Scan for her advice in this study, Mr. Shuji Matsumura for his cooperation in creating the messages, Professor Atsushi Kawaguchi for his advice on the statistical analysis, and Brian Quinn of Japan Medical Communication for English language editing. We also thank Analisa Avila, MPH, ELS, of Edanz (https://jp.edanz.com/ac) for editing a draft of this manuscript.

Funding

This study was funded by grants for medical staff from the Japan Association for Diabetes Education and Care.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kimie Fujita.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to disclose. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the 1964 Declaration of Helsinki and later versions.

Ethics approval

This study protocol was approved by the Certified Review Board of Saga University Hospital and performed in accordance with the principles of the 1975 Declaration of Helsinki, revised in 2013. (Approval number: 2017-07-03: date of approval: October 2, 2017).

Informed consent

Written informed consent was obtained from the 13 examinees who helped generate the optimized letter. For the interventional study, written general informed consent was obtained; examinees who agreed to be involved in the medical and public health study were included.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 427 KB)

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nagafuchi, M., Takahashi, H., Anzai, K. et al. Tailored notification encouraging examinees with abnormal glucose levels in health checkups to seek medical care. Diabetol Int 13, 262–271 (2022). https://doi.org/10.1007/s13340-021-00534-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13340-021-00534-1

Keywords

Navigation