Article Content

Abstract

Diabetic retinopathy (DR) is a common microvascular complication that can lead to visual impairment and blindness if it is not recognized and treated early. Lack of awareness of DR is the most commonly cited reason why many people with type 2 diabetes do not seek a referral for retinal screening. The current systematic review and meta-analysis aimed to investigate the effect of health education on DR screening compliance. PubMed, Scopus, Web of Science, and Google Scholar databases searched up to June 2025 to retrieve relevant articles based on titles, abstracts, and full-text screening. The quality of the included studies was assessed. Hence, data were extracted and analyzed. This study included a review of nine studies conducted in India, United States, China, Switzerland, Tanzania, Kenya, Bangladesh, and Canada with a total population of 2409 people. This current meta-analysis showed that health education increases DR screening compliance (odds ratio: 3.40, confidence interval 95% = 2.08–5.58). Also, the group whose reminder happened through a phone call compared to those who received other forms of reminders had higher compliance (odds ratio: 5.79, confidence interval 95% = 0.42–80.25). Data was associated with high heterogeneity (I2 = 72% for the first analysis and 75% for the second). The current study found a significant association between health education and DR screening compliance. Since the heterogeneity between the included studies was high, further large skilled studies are required.

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

  • Disease prevention
  • Education and Disability
  • Health Communication
  • Health Promotion and Disease Prevention
  • Medical Education
  • Religion and Health

Data Availability

The data is available upon request from the corresponding author.

References

  1. Dorali P, et al. Cost-effectiveness analysis of a personalized, teleretinal-inclusive screening policy for diabetic retinopathy via Markov modeling. Ophthalmol Retina. 2023;7(6):532-42.

  2. Kazemzadeh K, et al. Association of serum omentin levels with microvascular complications of type 2 diabetes mellitus: a systematic review and meta-analysis. J Diabetes Metab Disord. 2024;23(1):239–49.

    CAS Google Scholar

  3. Deravi N, et al. Non-alcoholic fatty liver disease and incidence of microvascular complications of diabetes in patients with type 2 diabetes: a prospective cohort study. Front Endocrinol. 2023;14: 1147458.

    Google Scholar

  4. Wang H, Tao Y. Choroidal structural changes correlate with severity of diabetic retinopathy in diabetes mellitus. BMC Ophthalmol. 2019;19:1–9.

    Google Scholar

  5. Ibrahim O, Foster A, Oluleye T. Barriers to an effective diabetic retinopathy service in Ibadan, Nigeria (sub–Saharan Africa)-a pilot qualitative study. Ann Ib Postgrad Med. 2015;13(1):36–43.

    CAS Google Scholar

  6. Porta M, Bandello F. Diabetic retinopathy: a clinical update. Diabetologia. 2002;45:1617–34.

    CAS Google Scholar

  7. Zwarenstein M, et al. Printed educational messages aimed at family practitioners fail to increase retinal screening among their patients with diabetes: a pragmatic cluster randomized controlled trial [ISRCTN72772651]. Implement Sci. 2014;9:1–9.

    Google Scholar

  8. Samadi S, Montaseri A, Mireskandari SM, Shahvari Z, Jafarzadeh A, Khan ZH, Bafrani MA. Relationship between misconduct of medical professionalism with burnout syndrome and related factors. Arch Anesthesiol Crit Care. 2023.

  9. Pinder J, Pham M. The impact of diabetes education on behavior and health–a propensity coarsened exact matching application. Int J Health Econ Dev. 2023;9(1):1–23.

    Google Scholar

  10. Etesam F, et al. Depression, anxiety and coping responses among Iranian healthcare professionals during the coronavirus disease (COVID-19) outbreak. Iran J Psychiatry. 2022;17(4):446.

    Google Scholar

  11. Khair Z, et al. Health education improves referral compliance of persons with probable diabetic retinopathy: a randomized controlled trial. PLoS ONE. 2020;15(11):e0242047.

    CAS Google Scholar

  12. Arambepola C, et al. The impact of automated brief messages promoting lifestyle changes delivered via mobile devices to people with type 2 diabetes: a systematic literature review and meta-analysis of controlled trials. J Med Internet Res. 2016;18(4): e86.

    Google Scholar

  13. Cotter AP, et al. Internet interventions to support lifestyle modification for diabetes management: a systematic review of the evidence. J Diabetes Complications. 2014;28(2):243–51.

    Google Scholar

  14. Shojania KG, Jennings A, Ramsay CR, Grimshaw JM, Kwan JL, Lo L. The effects of on-screen, point of care computer reminders on processes and outcomes of care. Cochrane Database Syst Rev. 2009;(3).

  15. Madhu SV, Saboo B, Makkar BM, Reddy GC, Jana J, Panda JK, Singh J, Setty N, Rao PV, Chawla R, Sahay RK. RSSDI clinical practice recommendations for management of type 2 diabetes mellitus. 2015.

  16. Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088–101.

    CAS Google Scholar

  17. Egger M, et al. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.

    CAS Google Scholar

  18. Mumba M, Hall A, Lewallen S. Compliance with eye screening examinations among diabetic patients at a Tanzanian referral hospital. Ophthalmic Epidemiol. 2007;14(5):306–10.

    Google Scholar

  19. Mwangi N, et al. Feasibility of a cluster randomized controlled trial on the effectiveness of peer–led health education interventions to increase uptake of retinal examination for diabetic retinopathy in Kirinyaga, Kenya: a pilot trial. Pilot Feasibility Stud. 2020;6:1–11.

    Google Scholar

  20. Walker EA, et al. Telephone intervention to promote diabetic retinopathy screening among the urban poor. Am J Prev Med. 2008;34(3):185–91.

    Google Scholar

  21. Chen T, et al. A mobile phone informational reminder to improve eye care adherence among diabetic patients in rural China: a randomized controlled trial. Am J Ophthalmol. 2018;194:54–62.

    Google Scholar

  22. Wang J, Tang H. Influence of feedforward control-based health education intervention on compliance, visual function and self-perceived burden among patients with diabetic retinopathy. Afr Health Sci. 2023;23(3):328–35.

    Google Scholar

  23. Ramagiri R, et al. Evaluation of whether health education using video technology increases the uptake of screening for diabetic retinopathy among individuals with diabetes in a slum population in Hyderabad. Indian J Ophthalmol. 2020;68(Suppl 1):S37.

    Google Scholar

  24. Pizzi LT, et al. Prospective randomized controlled trial comparing the outcomes and costs of two eyecare adherence interventions in diabetes patients. Appl Health Econ Health Policy. 2015;13:253–63.

    Google Scholar

  25. Stamenova V, et al. Mailed letter versus phone call to increase diabetic-related retinopathy screening engagement by patients in a team-based primary care practice: prospective, single-masked, randomized trial. J Med Internet Res. 2023;25:e37867.

    Google Scholar

  26. Neff R, Fry J. Periodic prompts and reminders in health promotion and health behavior interventions: systematic review. J Med Internet Res. 2009;11(2):e1138.

    Google Scholar

  27. WHO M. Health new horozons for health trough mobile technologies. Word Health Organization. 2011.

  28. Gurol‐Urganci I, et al. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev. 2013(12):CD007458.

  29. Arora S, et al. A mobile health intervention for inner city patients with poorly controlled diabetes: proof-of-concept of the TExT-MED program. Diabetes Technol Ther. 2012;14(6):492–6.

    Google Scholar

  30. Champion VL, Skinner CS. The health belief model. Health behavior and health education: Theory, research, and practice. 2008;4:45–65.

  31. Odeny TA, et al. Text messaging to improve attendance at post-operative clinic visits after adult male circumcision for HIV prevention: a randomized controlled trial. PLoS One. 20127(9):e43832.

  32. Leong KC, et al. The use of text messaging to improve attendance in primary care: a randomized controlled trial. Fam Pract. 2006;23(6):699–705.

    Google Scholar

  33. Chen Z-W, et al. Comparison of an SMS text messaging and phone reminder to improve attendance at a health promotion center: a randomized controlled trial. J Zhejiang Univ Sci B. 2008;9:34–8.

    Google Scholar

  34. Liew S-M, et al. Text messaging reminders to reduce non-attendance in chronic disease follow-up: a clinical trial. Br J Gen Pract. 2009;59(569):916–20.

    Google Scholar

  35. Thomas IF, Lawani AO, James BO. Effect of short message service reminders on clinic attendance among outpatients with psychosis at a psychiatric hospital in Nigeria. Psychiatr Serv. 2017;68(1):75–80.

    Google Scholar

  36. Agarwal S, et al. How high is the non-response rate of patients referred for eye examination from diabetic screening camps? Ophthalmic Epidemiol. 2005;12(6):393–4.

    Google Scholar

  37. Lv Y, et al. Analysis of factors influencing inpatient and outpatient satisfaction with the Chinese military health service. PLoS ONE. 2016;11(3): e0151234.

    Google Scholar

  38. Wilson J, et al. Barriers and facilitators to the use of e-health by older adults: a scoping review. BMC Public Health. 2021;21:1–12.

    Google Scholar

  39. Pywell J, et al. Barriers to older adults’ uptake of mobile-based mental health interventions. Digital Health. 2020;6: 2055207620905422.

    Google Scholar

Download references

Acknowledgements

The authors would like to thank the researchers whose works were included in this study.

Author information

Authors and Affiliations

Contributions

Study concept, design, critical revision of the manuscript for important intellectual content, and study supervision: PAB. Acquisition of data: PaD, NN, HA, MAK, FS, and SKSR. Drafting of the manuscript: PaD, NN, HA, MAK, FS, SKSR, Fg, NSz, FA, ZG, FS, RK, SGS, AAk, and ND. Revision: Am.M, Al.M, PaD, NN, HA, and PAB. All authors contributed to the article and approved the submitted version.

Corresponding author

Correspondence to Parviz Aghaei Borzabad.

Ethics declarations

Ethics Approval

Not applicable.

Consent to Participate

Not applicable.

Consent for Publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file 1 (PDF 1.98 MB)

About this article

Cite this article

Dadkhah, P.A., Norouzkhani, N., Asadigandomani, H. et al. The Effect of Health Education on Diabetic Retinopathy Screening Compliance: A Systematic Review and Meta-Analysis. SN Compr. Clin. Med. 7, 217 (2025). https://doi.org/10.1007/s42399-025-01941-0

  • Received
  • Revised
  • Accepted
  • Published
  • DOI https://doi.org/10.1007/s42399-025-01941-0

Keywords

  • Compliance
  • Diabetic retinopathy
  • Health education
  • Screening
WhatsApp