ClinicalTrials.gg
CompletedNCT05291026Updated Apr 4, 2022

Mobile Health Intervention for Improved Adherence in Type 2 Diabetes

An interventional study of mobile phone-based health information in Diabetes Mellitus, sponsored by Obafemi Awolowo University. Completed at 1 site in Nigeria. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2022-04-04.

Primary conditionDiabetes Mellitus, Type 2Registry: Diabetes MellitusReclassifiedWhy we changed it
Registry
Diabetes Mellitus — the first condition term the registry derived for this study.
ClinicalTrials.gg
Diabetes Mellitus, Type 2
Why
  1. The study's title name Diabetes Mellitus, Type 2, a narrower term within Diabetes Mellitus.
Confidence
High: the new condition is named in the study's own title. Of 46 hand-checked studies reclassified this way, 72% were exactly right and 89% in the right disease family; the registry's first term was right for 4% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by Obafemi Awolowo University · Not applicable, Interventional, and Health services research

From the registry’s dates

  • Registered 3 years 2 months after the study started (first participant enrolled Dec 2018, registered Mar 2022).

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Phase
Not applicable
Study type
Interventional
Enrollment
120
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

The study assessed patients' glycemic control, knowledge of type 2 diabetes (T2D) and adherence to medications, and evaluated the impact of a mobile telephone-based intervention on these indices. Patients' clinic attendance and pharmacy refill records were reviewed for the period of 1 year. Then over a period of 1 month, newly diagnosed T2D patients were enrolled in the prospective phase of the study and randomized into control and intervention groups. A mobile phone-based health education and follow-up package was applied to the intervention group alone for a period of 6 months. Afterwards, both groups were assessed and compared on the study outcome parameters. Same questionnaires were used pre- and post-intervention for primary data collection. Descriptive and inferential statistics were used for data analysis.

Read the detailed description

Objectives of the Study: The study assessed patients' glycemic control, knowledge of type 2 diabetes (T2D) and adherence to medications, and evaluated the impact of a mobile telephone-based intervention on these indices.

Study design: Randomized controlled trial Study Setting: Diabetes Clinic, Endocrinology Unit, Department of Internal Medicine, Obafemi Awolowo University Teaching Hospital Ile Ife, Osun State Nigeria The study was structured in five stages. Study Duration: Seven months Stage 1: Baseline data Task 1: Baseline data for patients' glycemic control were obtained from one-year retrospective review of 1392 patients' files for glycated haemoglobin (HbA1c) measurements.

Task 2: Patients' baseline adherence data were obtained from one-year retrospective review of pharmacy refill records (clinic attendance) Task 3: Development and validation of research instruments (Questionnaires, Short Message Services (SMS).

Task 4: Recruitment and training of research assistants (2 hours daily for 3 days) Stage 2: Recruitment and randomization of participants Task 1: Enrolment of all newly-diagnosed patients (n = 120), enrolled in the Diabetes Clinic in the period of one month following Stage 1 Task 2: Obtaining of informed consent from all newly-diagnosed patients enrolled in the Diabetes Clinic in the one month following Stage 1 Task 3: Collection of participants' baseline knowledge data using structured questionnaire Task 4: Collection of baseline self-reported adherence data using the adapted 8-point Morisky Medication Adherence Scale (MMAS-8) instrument Task 5: Randomization of consenting participants into two equal (n = 60) control and intervention groups using a randomization software Stage 3: Intervention Task 1: Activation of short message services to participants in the intervention cohort at a frequency of one message per day for the period of 6 months.

Task 2: Follow up on clinic attendances of all participants for the period of 6 months Stage 4: Post-Intervention Review Task 1: Repeat administration of same questionnaires originally administered at Stage 2 to all participants Task 1: Review of participants' clinic attendance and pharmacy refill records Task 2: Review of participants HbA1c measurements from their records Stage 5: Data analysis Task 1: Demographic variables of participants were analyzed using descriptive statistics including frequency and percentages Task 2: Weighted mean scores were used to analyze knowledge and adherence scores Task 3: Two-sample t-test was used to compare pre- and post-intervention scores of knowledge and adherence Task 4: Chi square test was conducted to analyze associations between demographic variables and self-reported adherence data Task 5: Statistical package for the social sciences (SPSS) version 21 for windows software was used for data analysis at the p \< 0.05 level of significance

02

Conditions studied

  • Diabetes Mellitus

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Keywords

  • mobile health
  • type 2 diabetes
  • adherence
  • health education
  • follow-up
03

In context

Diabetes Mellitus, Type 2 Reclassified

10,382 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,411 are open to participants now.

This study's enrollment of 120 is above the median of 80 across 8,359 interventional studies indexed under Diabetes Mellitus, Type 2.

Browse Diabetes Mellitus, Type 2 studies →

Lead sponsor

Obafemi Awolowo University is the lead sponsor of 16 studies on the registry; none are open to participants now.

Compared within Diabetes Mellitus, Type 2, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Diabetes Mellitus. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Diagnosed of type 2 diabetes for the first time in the month following baseline study
  • Male or female, 18 yeas of age and above
  • Enrolled in the Out-patient Diabetes Clinic of the Teaching Hospital
  • Gave to participate.

Exclusion criteria

Exclusion Criteria:

  • Diagnosed of other disease conditions outside type 2 diabetes
  • Below 18 years of age
  • Not enrolled in the Out-patient Diabetes Clinic of the Teaching Hospital
  • Did not give
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Participant, Care provider)
Enrollment
120 participants (actual)

Study arms

  • No intervention
    control group

    Type 2 diabetes patients, 18 years old and above, enrolled in the out-patient, diabetes clinic of the tertiary health facility, receiving only standard of care, and who gave their informed consent

  • Experimental
    intervention group

    type 2 diabetes patients, 18 years old and above, enrolled in the out-patient diabetes clinic of the tertiary health facility, receiving standard of care in addition to a mobile phone - based health education and follow-up messaging on a frequency of once a day corresponding to how often they are expected to take their medications (that is every day), and who gave their informed consent.

    Other: mobile phone-based health information

Interventions

  • Othermobile phone-based health information

    health education and follow-up messaging, randomly assigned to each participant in the intervention arm using a randomization software, delivered once daily, as short message service (sms)

    Also known as: health education, follow-up messaging

06

What researchers measure

Primary outcomes

  1. Primary outcome measure

    Reduction in glycated hemoglobin (HbA1c), measured using blood tests, expressed in mmol/mol (%)

    Time frame: 6 Months

Secondary outcomes

  1. Secondary outcome measure I

    Knowledge of diabetes, measured as by the mean score of participants in a questionnaire-based survey

    Time frame: 6 months

  2. Secondary outcome measure II

    Adherence to medication, measured by the mean score of participants in a questionnaire-based survey

    Time frame: 6 months

07

Study locations

1 site
  • Obafemi Awolowo University Teaching Hospital Complex
    Ile Ife, Osun 234, Nigeria
08

References and documents

Publications

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  • Olawuyi AT, Adeoye IA. The prevalence and associated factors of non-communicable disease risk factors among civil servants in Ibadan, Nigeria. PLoS One. 2018 Sep 13;13(9):e0203587. doi: 10.1371/journal.pone.0203587. eCollection 2018. PubMed 30212508 ↗
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  • World Health Organisation. World malaria report 2015. World Health Organisation, Geneva Switzerland; 2016.
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  • Marciano L, Camerini AL, Schulz PJ. The Role of Health Literacy in Diabetes Knowledge, Self-Care, and Glycemic Control: a Meta-analysis. J Gen Intern Med. 2019 Jun;34(6):1007-1017. doi: 10.1007/s11606-019-04832-y. Epub 2019 Mar 15. PubMed 30877457 ↗
  • Caruso R, Magon A, Baroni I, Dellafiore F, Arrigoni C, Pittella F, Ausili D. Health literacy in type 2 diabetes patients: a systematic review of systematic reviews. Acta Diabetol. 2018 Jan;55(1):1-12. doi: 10.1007/s00592-017-1071-1. Epub 2017 Nov 11. PubMed 29129000 ↗
  • Ramaj A, Kamberi F, Behrens J. Effects of Diabetes Education on Emotional Distress in Patients with Type 2 Diabetes-An Experimental Study. Open Journal of Endocrine and Metabolic Diseases. 2019 Feb 19; 9(2):9-20.
  • Hong JS, Kang HC. Relationship between oral antihyperglycemic medication adherence and hospitalization, mortality, and healthcare costs in adult ambulatory care patients with type 2 diabetes in South Korea. Med Care. 2011 Apr;49(4):378-84. doi: 10.1097/MLR.0b013e31820292d1. PubMed 21368684 ↗
  • Hansen RA, Farley JF, Droege M, Maciejewski ML. A retrospective cohort study of economic outcomes and adherence to monotherapy with metformin, pioglitazone, or a sulfonylurea among patients with type 2 diabetes mellitus in the United States from 2003 to 2005. Clin Ther. 2010 Jul;32(7):1308-19. doi: 10.1016/j.clinthera.2010.07.011. PubMed 20678679 ↗
  • Juarez DT, Tan C, Davis J, Mau M. Factors Affecting Sustained Medication Adherence and Its Impact on Health Care Utilization in Patients with Diabetes. J Pharm Health Serv Res. 2013 Jun;4(2):89-94. doi: 10.1111/jphs.12016. PubMed 23717343 ↗
  • Garcia-Perez LE, Alvarez M, Dilla T, Gil-Guillen V, Orozco-Beltran D. Adherence to therapies in patients with type 2 diabetes. Diabetes Ther. 2013 Dec;4(2):175-94. doi: 10.1007/s13300-013-0034-y. Epub 2013 Aug 30. PubMed 23990497 ↗
  • Fasanmade OA, Dagogo-Jack S. Diabetes Care in Nigeria. Ann Glob Health. 2015 Nov-Dec;81(6):821-9. doi: 10.1016/j.aogh.2015.12.012. PubMed 27108149 ↗
  • Qiao Y, Steve Tsang CC, Hohmeier KC, Dougherty S, Hines L, Chiyaka ET, Wang J. Association Between Medication Adherence and Healthcare Costs Among Patients Receiving the Low-Income Subsidy. Value Health. 2020 Sep;23(9):1210-1217. doi: 10.1016/j.jval.2020.06.005. Epub 2020 Aug 5. PubMed 32940239 ↗
  • World Health Organization. Long Term-Therapies: Evidence for Action [Internet]. World Health Organisation, Geneva Switzerland; 2003. Available from: ISBN 92-4-154599-2
  • Lam WY, Fresco P. Medication Adherence Measures: An Overview. Biomed Res Int. 2015;2015:217047. doi: 10.1155/2015/217047. Epub 2015 Oct 11. PubMed 26539470 ↗
  • Kirkman MS, Rowan-Martin MT, Levin R, Fonseca VA, Schmittdiel JA, Herman WH, Aubert RE. Determinants of adherence to diabetes medications: findings from a large pharmacy claims database. Diabetes Care. 2015 Apr;38(4):604-9. doi: 10.2337/dc14-2098. Epub 2015 Jan 8. PubMed 25573883 ↗
  • Xu L, Li Y, Dai Y, Peng J. Natural products for the treatment of type 2 diabetes mellitus: Pharmacology and mechanisms. Pharmacol Res. 2018 Apr;130:451-465. doi: 10.1016/j.phrs.2018.01.015. Epub 2018 Feb 13. PubMed 29395440 ↗
  • Williams JL, Walker RJ, Smalls BL, Campbell JA, Egede LE. Effective interventions to improve medication adherence in Type 2 diabetes: a systematic review. Diabetes Manag (Lond). 2014 Jan 1;4(1):29-48. doi: 10.2217/dmt.13.62. PubMed 25214893 ↗
  • Anghel LA, Farcas AM, Oprean RN. An overview of the common methods used to measure treatment adherence. Med Pharm Rep. 2019 Apr;92(2):117-122. doi: 10.15386/mpr-1201. Epub 2019 Apr 25. PubMed 31086837 ↗
  • Walker RJ, Smalls BL, Bonilha HS, Campbell JA, Egede LE. Behavioral interventions to improve glycemic control in African Americans with type 2 diabetes: a systematic review. Ethn Dis. 2013 Autumn;23(4):401-8. PubMed 24392600 ↗
  • Ni Z, Liu C, Wu B, Yang Q, Douglas C, Shaw RJ. An mHealth intervention to improve medication adherence among patients with coronary heart disease in China: Development of an intervention. Int J Nurs Sci. 2018 Sep 8;5(4):322-330. doi: 10.1016/j.ijnss.2018.09.003. eCollection 2018 Oct 10. PubMed 31406843 ↗
  • Free C, Phillips G, Felix L, Galli L, Patel V, Edwards P. The effectiveness of M-health technologies for improving health and health services: a systematic review protocol. BMC Res Notes. 2010 Oct 6;3:250. doi: 10.1186/1756-0500-3-250. PubMed 20925916 ↗
  • Mehas N, Hudmon KS, Jaynes H, Klink S, Downey L, Zillich AJ. Impact of Electronic Medication Reminder Caps on Patient Adherence and Blood Pressure. J Pharm Technol. 2021 Oct;37(5):234-243. doi: 10.1177/87551225211018708. Epub 2021 Jul 31. PubMed 34752573 ↗
  • NB of S (NBS). Nigeria GDP data, Q1, Q2 2021 [Internet]. 17. National Bureau of Statistics (NBS). 2021 [cited 2022 Jan 10]. Available from: https://nigerianstat.gov.ng/elibrary
  • Islam SM, Lechner A, Ferrari U, Froeschl G, Alam DS, Holle R, Seissler J, Niessen LW. Mobile phone intervention for increasing adherence to treatment for type 2 diabetes in an urban area of Bangladesh: protocol for a randomized controlled trial. BMC Health Serv Res. 2014 Nov 26;14:586. doi: 10.1186/s12913-014-0586-1. PubMed 25424425 ↗
  • Davis F, Davis F. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly. 1989 Sep 1; 13:319.
  • Sangeda RZ, Mosha F, Prosperi M, Aboud S, Vercauteren J, Camacho RJ, Lyamuya EF, Van Wijngaerden E, Vandamme AM. Pharmacy refill adherence outperforms self-reported methods in predicting HIV therapy outcome in resource-limited settings. BMC Public Health. 2014 Oct 4;14:1035. doi: 10.1186/1471-2458-14-1035. PubMed 25280535 ↗
  • de Oliveira-Filho AD, Morisky DE, Neves SJ, Costa FA, de Lyra DP Jr. The 8-item Morisky Medication Adherence Scale: validation of a Brazilian-Portuguese version in hypertensive adults. Res Social Adm Pharm. 2014 May-Jun;10(3):554-61. doi: 10.1016/j.sapharm.2013.10.006. Epub 2013 Oct 26. PubMed 24268603 ↗
  • Taber KS. The Use of Cronbach's Alpha When Developing and Reporting Research Instruments in Science Education. Res Sci Educ. 2018 Dec 1; 48(6):1273-96
  • Erdoğan Ö, Araman A. Health beliefs and functional health literacy; Interaction with the pharmaceutical services. Istanbul Journal of Pharmacy. 2017 Oct 18; 47:68-71.
  • Uloko AE, Musa BM, Ramalan MA, Gezawa ID, Puepet FH, Uloko AT, Borodo MM, Sada KB. Prevalence and Risk Factors for Diabetes Mellitus in Nigeria: A Systematic Review and Meta-Analysis. Diabetes Ther. 2018 Jun;9(3):1307-1316. doi: 10.1007/s13300-018-0441-1. Epub 2018 May 14. PubMed 29761289 ↗
  • Taberna M, Gil Moncayo F, Jane-Salas E, Antonio M, Arribas L, Vilajosana E, Peralvez Torres E, Mesia R. The Multidisciplinary Team (MDT) Approach and Quality of Care. Front Oncol. 2020 Mar 20;10:85. doi: 10.3389/fonc.2020.00085. eCollection 2020. PubMed 32266126 ↗
  • Centers for Disease Control (CDC). National Diabetes Statistics Report 2020. Estimates of diabetes and its burden in the United States. [Internet]. Centers for Disease Control (CDC); 2020 [cited 2022 Jan 10]. Available from: https://www.cdc.gov/diabetes/pdfs/data/statistics/national-diabetes-statistics-report.pdf
  • Ekpenyong C, Akpan U, Ibu J, Nyebuk D. Gender and age specific prevalence and associated risk factors of type 2 diabetes mellitus in Uyo metropolis, South Eastern Nigeria. DiabetologiaCroatica [Internet]. 2012;41(1). Available from: http://www.sciepub.com/reference/340492
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  • Chawla SPS, Kaur S, Bharti A, Garg R, Kaur M, Soin D, Ghosh A, Pal R. Impact of health education on knowledge, attitude, practices and glycemic control in type 2 diabetes mellitus. J Family Med Prim Care. 2019 Jan;8(1):261-268. doi: 10.4103/jfmpc.jfmpc_228_18. PubMed 30911517 ↗
  • International Diabetes Federation. IDF. Clinical practice recommendations for managing type 2 diabetes in primary care. [Internet]. [Cited 2021 Oct 19]. Available from: https://www.idf.org/e-library/guidelines/128-idf-clinical-practice-recommendations-formanaging- type-2-diabetes-in-primary-care.html.
  • Houle SK, Grindrod KA, Chatterley T, Tsuyuki RT. Paying pharmacists for patient care: A systematic review of remunerated pharmacy clinical care services. Can Pharm J (Ott). 2014 Jul;147(4):209-32. doi: 10.1177/1715163514536678. PubMed 25360148 ↗
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  • Houle SK, Grindrod KA, Chatterley T, Tsuyuki RT. Publicly funded remuneration for the administration of injections by pharmacists: An international review. Can Pharm J (Ott). 2013 Nov;146(6):353-64. doi: 10.1177/1715163513506369. PubMed 24228051 ↗

Individual participant data

Plan to share: No — IPD will not be shared

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Dec 2018 to primary completion in Jul 2019, 6 months.

Of 2,068 non-industry interventional studies with no phase under Diabetes Mellitus, Type 2, half reached primary completion within 21 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 40. This study's 6 months is below that.

Counting every sponsor, half of 2,245 studies reached it within 21 months; a quarter within 10 and three quarters within 38.

How these figures are worked out, and which studies are left out of them.

Registered
Mar 14, 2022
First posted
Mar 22, 2022
StartActual
Dec 15, 2018
Primary completionActual
Jul 1, 2019
CompletionActual
Jul 1, 2019
Last update
Apr 4, 2022
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Apr 4, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05291026
Lead sponsor
Obafemi Awolowo University
Responsible party
Madu Ihekoronye (Lecturer, Obafemi Awolowo University) — Principal investigator
First posted
Mar 22, 2022
Start date
Dec 15, 2018
Primary completion
Jul 1, 2019
Completion
Jul 1, 2019
Last update
Apr 4, 2022

Study contacts

Kanayo Osemene, Ph.D.
study director · Department of Clinical Pharmacy and Pharmacy Administration, Obafemi Awolowo University, Ile Ife Nigeria

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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