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. 2022 Nov;34(8):799–803. doi: 10.1177/10105395221126010

Noninferiority of Telemedicine Delivered Compared With In-person Diabetes Self-Management Education and Support (DSMES) During Covid-19 Pandemic in Thailand

Chatvara Areevut 1,, Jandanee Sakmanarit 1, Porntip Tachanivate 1, Ratanaporn Jerawatana 2, Kanoknun Vittayakasemsont 3, Wassana Pookate 3, Pattraphorn Kamnirdsittiseree 4, Benjaporn Savetkairop 5, Nampeth Saibuathong 2, Sawitree Chanchat 6
PMCID: PMC9679207  PMID: 36124368

Abstract

This study aimed to compare the clinical outcomes and program satisfaction of diabetes self-management education and support (DSMES) for type 2 diabetes patients delivered by telehealth during COVID-19 pandemic to in-person delivery during pre-COVID-19. A retrospective case-controlled study was conducted (95 telehealth and 95 on-site). Differences in hemoglobin A1c (HbA1c) reductions between groups were analyzed by linear mixed-effects models, and satisfaction was collected. Compared with baseline, at the three-month follow-up, the HbA1c reductions of the telehealth and on-site DSMES were 1.20 ± 0.15% and 1.21 ± 0.15%, respectively (P < .001), whereas these were 1.28 ± 0.16% and 1.18 ± 0.15% at six-month follow-up, respectively (P < .001). There were no significant differences in HbA1c reduction between the two groups (P = .967 and .674 at three- and six-month follow-up). Majority of participants in both groups had high program satisfaction (telehealth 98.7% vs on-site 95.1%, P = .269). In conclusion, DSMES delivered via telehealth is as effective in lowering HbA1c as that delivered in-person, with a high satisfaction rate.

Keywords: diabetes self-management education and support, telehealth, covid-19, multidisciplinary team, patient-generated health data

What We Already Know

  • Diabetes self-management education and support (DSMES) delivered via telehealth is effective during pre-COVID era.

What This Article Adds

  • Diabetes self-management education and support (DSMES) delivered via telehealth during COVID-19 pandemic is as effective as that delivered in-person during pre-pandemic in lowering hemoglobin A1c, with similar high satisfaction.

Introduction

Diabetes self-management education and support (DSMES) is effective in improving metabolic outcomes, quality of life in person with diabetes (PWD) and reduces cost.1 Emerging evidence suggests that DSMES delivered by telehealth is acceptable, effective in improving glycemic control and can be especially useful in PWD who otherwise might have limited access to care.2 However, the uptake of telehealth varied in different countries.

In Thailand, telehealth was sparsely used before COVID-19 era,3 especially for PWD. One study of 35 PWD showed improved glycemic control using automated interactive voice response calls to patients and email notifications to their nurses.4 Telehealth use in Thailand increased during COVID-19, both for monitoring of COVID-19 and other conditions.3,5 Only one retrospective study explored the effectiveness of diabetes care via telehealth in 111 PWD in Thailand which revealed no changes in hemoglobin A1c (HbA1c) levels, but benefits were seen in those with baseline HbA1c > 7%.6 However, the efficacy of telehealth DSMES, particularly in comparison with that of the in-person DSMES, has not been well studied. This study aimed to compare the outcome of glycemic control between DSMES delivered via telehealth (COVID-19 era) and in-person (pre-COVID-19 era), along with patient satisfaction, using a case-controlled study in patients with type 2 diabetes in a tertiary care center in Thailand.

Methods

A retrospective case-controlled study included PWD (type 2 diabetes) who participated in DSMES program delivered by telehealth during the COVID-19 pandemic (cases, March-September 2020) and in-person (controls, year 2019) at Ramathibodi Hospital, Bangkok. The cases and controls were randomly matched 1:1 by age, diabetes duration, and education levels. The study protocol was approved by Human Research Ethics Committee, Faculty of Medicine Ramathibodi Hospital, Mahidol University (Ethical approval COA. MURA2020/949).

Telehealth and In-person DSMES

Telehealth DSMES was performed through telephone by one of the multidisciplinary team members (advanced practice nurses, nurses, pharmacists, and dieticians). At the first visit (30-45 minutes), individuals received the assessment and education according to the framework of ADCES 7 Self-Care Behaviors.1 If additional needs arose, a referral was made to another team member to contact the patients. Video conferences by smart phone application were provided as needed. Blood glucose monitoring devices were provided (through delivery services).

An in-person DSMES program was conducted by the same multidisciplinary team with a similar content to telehealth DSMES. The setting was a group delivery. The first visit (about four hours) included general diabetes knowledge, exercise, foot care, followed by individual assessments of glucose monitoring, medication taking, and diet.

After the first visit, in both formats of DSMES, a behavioral goal setting was made, and a follow-up appointment was arranged in three months.

Outcomes

HbA1c levels at the program start, three and six months after the first visit, were the primary outcome of interest and collected from medical records. Program satisfaction (rating 1-5 with 5 being the highest) was collected at a follow-up visit from PWD.

Statistical Analysis

Data are expressed as mean (standard deviation [SD] or standard error of the mean [SEM]) or frequency (percentage). Comparison between groups were analyzed by independent t test or χ2 test as appropriate. Linear mixed-effects models Stata 16.1 was used to analyze differences in HbA1c reductions at three and six months of follow-up between groups.

Results

Table 1 shows characteristics of PWD in both groups. Person with diabetes in the telehealth group had more prevalent hypertension than the in-person group, while other characteristics were similar.

Table 1.

Baseline Characteristics of Participants (n = 190).

Category In-person Telehealth P value
N 95 95
Demographic
 Age (years) 59.89 ± 11.95 59.91 ± 11.84 .995
 Sex (M/F) 34/61 41/54 .373
Educational level
 High school or less N (%) 41 (43.2) 41 (43.2) 1.000
 More than high school N (%) 54 (56.9) 54 (56.9)
BMI (kg/m²) 27.75 ± 8.70 28.25 ± 5.76 .637
Married n (%) 55 (57.9) 63 (73.3) .30
History of hypertension
 Yes n (%) 64 (67.4) 80 (84.2) .011
Diabetes characteristics
 Diabetic duration (years) 8.9 ± 8.16 9.6 ± 8.20 .586
Diabetes medication use (%)
 No diabetes medication 6 (6.3) 9 (9.5)
 Oral medications only 54 (56.8) 55 (57.9) 0.050
Insulin, GLP-1 RA, and oral medications 28 (29.5) 31 (32.6)
 Insulin only 7 (7.4) 0 (0.0)
HbA1c at baseline (%), mean ± SEM 8.75 ± 0.16 8.62 ± 0.16 0.654

Note. SEM = standard error of the mean.

HbA1c Levels and Program Satisfaction

Compared with their own baseline, at the three-month follow-up, the reductions of HbA1c (mean ± SEM) of the in-person and telehealth DSMES groups were 1.21 ± 0.15% and 1.20 ± 0.15%, respectively (P < .001), whereas at the six-month follow-up, the reductions were 1.18 ± 0.15% and 1.28 ± 0.16%, respectively (P < .001) (Figure 1). These reductions were similar between the two groups (P = .967 and .674 at three and six months) (Figure 2). Program satisfaction was high (scores 4-5) in both groups (telehealth 98.7% vs on-site 95.1%, P = .269).

Figure 1.

Figure 1.

HbA1c levels at baseline, three, and six months in telehealth and in-person DSMES groups.

Note. DSMES = diabetes self-management education and support.

Figure 2.

Figure 2.

Comparisons of HbA1c reduction at three and six months between telehealth and in-person DSMES groups.

Note. DSMES = diabetes self-management education and support.

Discussion

The study demonstrated that DSMES delivered by telehealth in Thailand during COVID-19 pandemic is effective in improving glycemic control and non-inferior to that of an in-person delivery, with high patient satisfaction. The program could serve a model for telehealth DSMES, both during COVID-19 era and beyond.

The magnitude of HbA1c reduction in our study (~1.2%) is comparable to those performed pre-COVID-19 era (~1.5% at 12 months).7 A few studies in other countries demonstrated that DSMES delivered via telehealth during COVID-19 pandemic was effective. For example, a virtual training on a hybrid closed-loop pump in patients with type 1 diabetes resulted in similar glycemic matrixes and satisfaction compared with in-person training prior to COVID-19 pandemic.8 In India, diabetes education and insulin injection techniques given via telephone and/or video to patients hospitalized with COVID-19 resulted in improved self-care and high satisfaction.9 In Singapore, telephone consultations and remote patient monitoring delivered to 298 PWD were found to be safe and efficient in replacing in-person visits.10 The use of two-way communications between patients and providers, along with individualized feedback and education, and the use of patient-generated health data were suggested as key components of telehealth and likely influenced the success in our study. These results, along with ours, support the clinical efficacy of DSMES delivered via telehealth.5

Our study has strength in being one of a very few studies that compares the effectiveness of DSMES before and after COVID-19 pandemic, with a follow-up of six months. Limitations include being a nonrandomized study and that the effects of diabetes medication use on HbA1c could not be completely accounted for. However, both groups had similar medication use. Future framework of telehealth in Thailand has recently been laid out and included monitoring/reporting, stakeholder engagement, facilitators, and risk management.3

Conclusion

Diabetes self-management education and support delivered via telehealth is as effective in lowering HbA1c as that delivered in-person, with a high satisfaction rate, and should be incorporated for care of PWD.

Acknowledgments

The authors would like to express special thanks to Professor Sirimon Reutrakul (Division of Endocrinology, Diabetes and Metabolism, University of Illinois at Chicago, Chicago, Illinois, United States) for her help in steering the research team to complete this project and would like to acknowledge Mrs. Umaporn Udomsubpayakul (Research Assistant, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University) for her help in statistical analysis. The authors also would like to thank Dr. Chutintorn Sriphrapradang (Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Bangkok) for her advice and comments. Part of this manuscript was submitted as a poster presentation (abstract) at the International Diabetes Federation Congress 2022; December 5-8, 2022; Lisbon, Portugal.

Footnotes

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.

ORCID iDs: Chatvara Areevut Inline graphichttps://orcid.org/0000-0001-9540-2907

Ratanaporn Jerawatana Inline graphichttps://orcid.org/0000-0003-4230-1787

References

  • 1.Powers MA, Bardsley J, Cypress M, et al. Diabetes self-management education and support in type 2 diabetes: a joint position statement of the American Diabetes Association, the American Association of Diabetes Educators, and the Academy of Nutrition and Dietetics. J Acad Nutr Diet. 2015;115(8): 1323-1334. [DOI] [PubMed] [Google Scholar]
  • 2.Siminerio L, Ruppert K, Huber K, Toledo FG.Telemedicine for reach, education, access, and treatment (TREAT): linking telemedicine with diabetes self-management education to improve care in rural communities. Diabetes Educ. 2014;40(6):797-805. [DOI] [PubMed] [Google Scholar]
  • 3.Chattranukulchai P, Thongtang N, Ophascharoensuk V, et al. An implementation framework for telemedicine to address noncommunicable diseases in Thailand. Asia Pac J Public Health. 2021;33(8):968-971. [DOI] [PubMed] [Google Scholar]
  • 4.Pichayapinyo P, Saslow LR, Aikens JE, et al. Feasibility study of automated interactive voice response telephone calls with community health nurse follow-up to improve glycaemic control in patients with type 2 diabetes. Int J Nurs Pract. 2019;25(6):e12781. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Harindhanavudhi T, Areevut C, Sahakitrungruang T, et al. Implementation of diabetes care and educational program via telemedicine in patients with COVID-19 in home isolation in Thailand: a real-worldexperience. J Diabetes Investig. 2022;13(8):1448-1457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Porntharukchareon T, Worawichawong S, Tawinprai K.Telehealth for diabetes care during coronavirus disease 2019 pandemic. Asia Pac J Public Health. 2022;34(4):459-462. [DOI] [PubMed] [Google Scholar]
  • 7.Nyenwe EA, Ashby S, Tidwell J, Nouer SS, Kitabchi AE.Improving diabetes care via telemedicine: lessons from the addressing diabetes in Tennessee (ADT) project. Diabetes Care. 2011;34(3):e34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Vigersky RA, Velado K, Zhong A, Agrawal P, Cordero TL.The effectiveness of virtual training on the MiniMed™ 670G system in people with type 1 diabetes during the COVID-19 pandemic. Diabetes Technol Ther. 2021;23(2):104-109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Mishra M, Bano T, Mishra SK, et al. Effectiveness of diabetes education including insulin injection technique and dose adjustment through telemedicine in hospitalized patients with COVID-19. Diabetes Metab Syndr. 2021;15(4):102174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Lian X, Dalan R, Seow CJ, et al. Diabetes care during COVID-19 pandemic in Singapore using a telehealth strategy. Horm Metab Res. 2021;53(3):191-196. [DOI] [PubMed] [Google Scholar]

Articles from Asia-Pacific Journal of Public Health are provided here courtesy of SAGE Publications

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