Startseite Medizin Communication frequency between visits is associated with improved glycemic control in pediatric diabetes
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Communication frequency between visits is associated with improved glycemic control in pediatric diabetes

  • Rohini Verma , Chrystal G. Thomas , Margaret West , Laura Prichett , Christine Glancey , Julia Tracey , Kristin M. Arcara , Sheela N. Magge und Risa M. Wolf EMAIL logo
Veröffentlicht/Copyright: 14. Dezember 2020

Abstract

Objectives

Children with diabetes are advised to see their diabetes team every 3 months, with interim communication to address insulin dose adjustments. Despite increasing digital accessibility, there is limited data on whether provider–patient communication frequency is associated with glycemic control in pediatric diabetes. We assessed patterns of communication between diabetes clinic visits and whether communication frequency via electronic messaging (EM) and telephone was associated with glycemic control in pediatric diabetes.

Methods

Retrospective chart review of 267 children with type 1 (T1DM) and type 2 diabetes (T2DM) over a 1-year period (July 2018–June 2019) at an urban academic pediatric diabetes center. Association between frequency of communication (via EM and telephone) and HbA1c was analyzed using regression analysis.

Results

Of 267 participants, 224 (84%) had T1DM, 43 (16%) had T2DM, mean age 11.6 years (SD 4), mean duration of diabetes 3.5 years (SD 3.4), and mean HbA1c 73.8 ± 23 mmol/mol (8.9 ± 2.2%). Most participants (82%) communicated with their diabetes team at least once per year, with a mean number of overall communications of 10.3 ± 13.6 times. Communications were via EM (48%), phone (40%), or both (53%). Participants with more frequent communication had lower HbA1c values (p=0.007), even when controlling for age, sex, provider, and number of clinic visits per year. We determined that a threshold of three communications per year was associated with a lower HbA1c (p=0.006).

Conclusions

More frequent communication with the diabetes team between visits is associated with improved glycemic control. Initiatives to contact diabetes patients between clinic visits may impact their overall glycemic control.


Corresponding author: Risa M. Wolf, MD, Assistant Professor of Pediatrics, Department of Pediatrics, Division of Pediatric Endocrinology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA, Phone: +1 410 955 6463, Fax: +1 410 500 4276, E-mail:

Acknowledgments

None.

  1. Research funding: None declared.

  2. Author contributions: R.V., M.W., C.G., and R.W designed the research study. R.V., M.W., C.G., C.T., and R.W performed the research and extracted the data. R.W. and L.P. analyzed the data. R.V, C.T., and R.W wrote the paper. R.V., C.T., M.W., L.P., C.G., J.T., K.A, S.M., and R.W. have all read and approved the final article. All authors have accepted responsibility for the entire content of this submitted article and approved submission.

  3. Competing interests: No competing interests.

  4. Informed consent: This retrospective study was IRB approved with a waiver of consent.

  5. Ethical approval: Research involving human subjects complied with all relevant national regulations, institutional policies and is in accordance with the tenets of the Helsinki Declaration (as revised in 2013), and has been approved by the authors’ Institutional Review Board (xxxx) or equivalent committee. (xxx-Nr.: xx/x)

References

1. Danne, T, Phillip, M, Buckingham, BA, Jarosz-Chobot, P, Saboo, B, Urakami, T, et al.. ISPAD clinical practice consensus guidelines 2018: insulin treatment in children and adolescents with diabetes. Pediatr Diabetes 2018;19(27 Suppl):115–35.10.1111/pedi.12718Suche in Google Scholar PubMed

2. American Diabetes, Association. 13. Children and adolescents: standards of medical care in diabetes-2020. Diabetes Care 2020;43(1 Suppl):S163–82.10.2337/dc20-S013Suche in Google Scholar PubMed

3. Foster, NC, Beck, RW, Miller, KM, Clements, MA, Rickels, MR, DiMeglio, LA, et al.. State of type 1 diabetes management and outcomes from the T1D exchange in 2016-2018. Diabetes Technol Therapeut 2019;21:66–72.10.1089/dia.2018.0384Suche in Google Scholar PubMed PubMed Central

4. El-Rachidi, S, LaRochelle, JM, Morgan, JA. Pharmacists and pediatric medication adherence: bridging the gap. Hosp Pharm 2017;52:124–31.10.1310/hpj5202-124Suche in Google Scholar PubMed PubMed Central

5. Kirkman, MS, Rowan-Martin, MT, Levin, R, Fonseca, VA, Schmittdiel, JA, Herman, WH, et al.. Determinants of adherence to diabetes medications: findings from a large pharmacy claims database. Diabetes Care 2015;38:604–9.10.2337/dc14-2098Suche in Google Scholar PubMed PubMed Central

6. Anderson, MJ, Teens, J. Social Media & Technology 2018; 2018, May 31.Suche in Google Scholar

7. Demographics of mobile device ownership and adoption in the United States. 2019, June 12.Suche in Google Scholar

8. Coberley, C, Hamar, B, Gandy, B, Orr, P, Coberley, S, McGinnis, M, et al.. Impact of telephonic interventions on glycosylated hemoglobin and low-density lipoprotein cholesterol testing. Am J Manag Care 2007;13:188–92.Suche in Google Scholar

9. Kaur, R, Kajal, KS, Kaur, A, Singh, P. Telephonic consultation and follow-up in diabetics: impact on metabolic profile, quality of life, and patient compliance. N Am J Med Sci 2015;7:199–207.10.4103/1947-2714.157483Suche in Google Scholar PubMed PubMed Central

10. Chung, S, Panattoni, L, Chi, J, Palaniappan, L. Can secure patient-provider messaging improve diabetes care?. Diabetes Care 2017;40:1342–8.10.2337/dc17-0140Suche in Google Scholar PubMed

11. Harris, LT, Koepsell, TD, Haneuse, SJ, Martin, DP, Ralston, JD. Glycemic control associated with secure patient-provider messaging within a shared electronic medical record: a longitudinal analysis. Diabetes Care 2013;36:2726–33.10.2337/dc12-2003Suche in Google Scholar PubMed PubMed Central

12. Petullo, B, Noble, B, Dungan, KM. Effect of electronic messaging on glucose control and hospital admissions among patients with diabetes. Diabetes Technol Therapeut 2016;18:555–60.10.1089/dia.2016.0105Suche in Google Scholar PubMed PubMed Central

13. Goyal, S, Nunn, CA, Rotondi, M, Couperthwaite, AB, Reiser, S, Simone, A, et al.. A mobile app for the self-management of type 1 diabetes among adolescents: a randomized controlled trial. JMIR Mhealth Uhealth 2017;5:e82.10.2196/mhealth.7336Suche in Google Scholar PubMed PubMed Central

14. Herbert, L, Owen, V, Pascarella, L, Streisand, R. Text message interventions for children and adolescents with type 1 diabetes: a systematic review. Diabetes Technol Therapeut 2013;15:362–70.10.1089/dia.2012.0291Suche in Google Scholar PubMed

15. Lawson, ML, Cohen, N, Richardson, C, Orrbine, E, Pham, B. A randomized trial of regular standardized telephone contact by a diabetes nurse educator in adolescents with poor diabetes control. Pediatr Diabetes 2005;6:32–40.10.1111/j.1399-543X.2005.00091.xSuche in Google Scholar PubMed

16. Patel, NJ, Datye, KA, Jaser, SS. Importance of patient-provider communication to adherence in adolescents with type 1 diabetes. Healthcare 2018;6.10.3390/healthcare6020030Suche in Google Scholar PubMed PubMed Central

17. Wade-Vuturo, AE, Mayberry, LS, Osborn, CY. Secure messaging and diabetes management: experiences and perspectives of patient portal users. J Am Med Inf Assoc 2013;20:519–25.10.1136/amiajnl-2012-001253Suche in Google Scholar PubMed PubMed Central

18. Willi, SM, Miller, KM, DiMeglio, LA, Klingensmith, GJ, Simmons, JH, Tamborlane, WV, et al.. Racial-ethnic disparities in management and outcomes among children with type 1 diabetes. Pediatrics 2015;135:424–34.10.1542/peds.2014-1774Suche in Google Scholar PubMed PubMed Central

19. Valenzuela, JM, Seid, M, Waitzfelder, B, Anderson, AM, Beavers, DP, Dabelea, DM, et al.. Prevalence of and disparities in barriers to care experienced by youth with type 1 diabetes. J Pediatr 2014;164:1369–75 e1.10.1016/j.jpeds.2014.01.035Suche in Google Scholar PubMed PubMed Central

20. Jensen, ET, Dabelea, D. Type 2 diabetes in youth: new lessons from the SEARCH study. Curr Diabetes Rep 2018;18:36.10.1007/s11892-018-0997-1Suche in Google Scholar PubMed PubMed Central

Received: 2020-09-11
Accepted: 2020-11-05
Published Online: 2020-12-14
Published in Print: 2021-02-23

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Review Article
  3. The current review of adolescent obesity: the role of genetic factors
  4. Original Articles
  5. Trends in abdominal obesity among Chinese children and adolescents, 1993–2015
  6. Association of childhood obesity with retinal microvasculature and corneal endothelial cell morphology
  7. Communication frequency between visits is associated with improved glycemic control in pediatric diabetes
  8. Increased length of stay and hospital charges in adolescents with type 1 diabetes and psychiatric illness
  9. Distance from the endocrinology clinic and diabetes control in a rural pediatric population
  10. Care of children with type 1 diabetes mellitus in school – An interventional study
  11. Treatment and long-term follow-up of patients diagnosed with type 1 diabetes mellitus before age 5
  12. Diabetes distress in Indian children with type 1 diabetes mellitus and their mothers
  13. Impact of lockdown for COVID-19 pandemic in Indian children and youth with type 1 diabetes from different socio-economic classes
  14. First report on the nationwide prevalence of paediatric type 1 diabetes in Serbia and temporal trends of diabetes ketoacidosis at diagnosis—a multicentre study
  15. Factors affecting thyroid volume in adolescent students attending a rural middle school in East Hangzhou, China
  16. Impact of maternal thyroid disease on neonatal thyroid status
  17. Impact of growth hormone treatment on scoliosis development and progression: analysis of 1128 patients with idiopathic short stature
  18. Short Communication
  19. Are we ignoring coexisting rhabdomyolysis as an important aggravating factor for acute kidney injury among childhood diabetic ketoacidosis?
  20. Case Reports
  21. Microdeletion in the IGF-1 receptor gene of a patient with short stature and obesity: a case report
  22. SLC25A19 deficiency and bilateral striatal necrosis with polyneuropathy: a new case and review of the literature
  23. Familial neonatal nonautoimmune hyperthyroidism due to a gain-of-function (D619G) thyrotropin-receptor mutation
  24. Transient neonatal diabetes due to a disease causing novel variant in the ATP-binding cassette subfamily C member 8 (ABCC8) gene unmasks maturity-onset diabetes of the young (MODY) diabetes cases within a family
Heruntergeladen am 19.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jpem-2020-0529/html
Button zum nach oben scrollen