Short‐ and long‐term effects of real‐time medication monitoring with short message service (<scp>SMS</scp>) reminders for missed doses on the refill adherence of people with Type 2 diabetes: evidence from a randomized controlled trial

Vervloet, Marcia; Dijk, Liset van; Bakker, D.H. de; Souverein, Patrick C.; Santen-Reestman, J.; Vlijmen, Bas van; Aarle, M. C. W. van; Hoek, L. van der; Bouvy, Marcel L.

doi:10.1111/dme.12439

Cited by 64 publications

(66 citation statements)

References 29 publications

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“…Half ( n =7 interventions, evaluated in ten studies) of the 16 interventions were for patient self-management of blood glucose [13–22]; all consisted of systems that analyzed patients’ self-measured glucose and most provided real-time feedback via text messaging. The remaining studies tested interventions for general diabetes education and self-management ( n =3) [23–25]; medication adherence ( n =1 intervention evaluated in 2 studies) [26, 27]; self-management of weight ( n =1) [28]; self-management of depression ( n =1) [29]; self-management of blood pressure ( n =1) [30], self-management of blood glucose, blood pressure, body weight, and physical activity ( n =1) [31]; and text reminders for gestational diabetes patients to receive a postpartum oral glucose tolerance test (OGTT) ( n =1) [32]. Most ( n =9) of the 16 interventions were smartphone-based; the remaining 6 included text-based interventions that could be utilized on mobile or smartphones.…”

Section: Resultsmentioning

confidence: 99%

Mobile Phone and Smartphone Technologies for Diabetes Care and Self-Management

2015

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Mobile and smartphone (mHealth) technologies have the potential to improve diabetes care and self-management, but little is known about their effectiveness and how patients, providers, and payers currently interact with them. We conducted a systematic review and found only 20 peer-reviewed articles, published since 2010, with robust evidence about the effectiveness of mHealth interventions for diabetes. The majority of these interventions showed improvement on primary endpoints, such as HbA1c; mHealth technologies that interacted with both patients and providers were more likely to be effective. There was little evidence about persistent use by patients, use by a patient's health care provider, or long-term effectiveness. None of the studies discussed regulatory oversight of mHealth technologies or payer reimbursement for them. No robust studies evaluated the more than 1100 publicly available smartphone apps for diabetes. More research with valid study designs and longer follow-up is needed to evaluate the impact of mHealth technologies for diabetes care and self-management.

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Section: Resultsmentioning

confidence: 99%

Mobile Phone and Smartphone Technologies for Diabetes Care and Self-Management

2015

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“…The timing of adherence measurement should be of interest to clinicians as well as researchers. Health care professionals already monitor delays in obtaining prescription refills in order to provide reminders . Advances in electronic monitoring make it technically possible to identify non‐adherence within minutes .…”

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confidence: 99%

Measuring adherence with medications: time is of the essence

Steiner

2016

Pharmacoepidemiology and Drug

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“…Patients with complex medication regimens may benefit from a device such as MyMedSchedule, which allows HCPs to input patients’ prescribed regimens and then push the information directly to patients’ personal devices with reminders, as well as to retrieve and modify instructions (29). Using these devices to send a short text message to remind patients with diabetes to take their medications has led to improved adherence (30). …”

Section: What Can Be Done To Improve Medication Adherence?mentioning

confidence: 99%