» Articles » PMID: 23222527

Engagement with Automated Patient Monitoring and Self-management Support Calls: Experience with a Thousand Chronically Ill Patients

Overview
Journal Med Care
Specialty Health Services
Date 2012 Dec 11
PMID 23222527
Citations 48
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Patient self-care support via Interactive Voice Response (IVR) can improve disease management. However, little is known about the factors affecting program engagement.

Methods: We compiled data on IVR program engagement for 1173 patients with: heart failure, depression, diabetes, or cancer who were followed for 28,962 person-weeks. Patients in programs for diabetes or depression (N=727) had the option of participating along with an informal caregiver who received electronic feedback based on the patient's IVR assessments. Analyses focused on factors associated with completing weekly IVR calls.

Results: Patients were on average 61 years old, 37% had at most a high school education, and 48% reported incomes of ≤$30,000. Among patients given the option of participating with an informal caregiver, 65% chose to do so. Patients completed 83% of attempted IVR assessments, with rates higher for heart failure (90%) and cancer programs (90%) than for the diabetes (81%) or depression programs (71%) (P<0.001). Among patients in diabetes or depression programs, those opting to have feedback provided to an informal caregiver were more likely to complete assessments [adjusted odds ratio, 1.37; 95% confidence interval, 1.07-1.77]. Older patients had higher call completion rates, even among patients aged 75 years and older. Missed clinic appointments, prior hospitalizations, depression program participation, and poorer mental health were associated with lower completion rates.

Conclusions: Patients with a variety of chronic conditions will complete IVR self-care support calls regularly. Risk factors for missed IVR calls overlap with those for missed appointments. Involvement of informal caregivers may significantly increase engagement.

Citing Articles

Essential Components of an Electronic Patient-Reported Symptom Monitoring and Management System: A Randomized Clinical Trial.

Mooney K, Gullatte M, Iacob E, Alekhina N, Nicholson B, Sloss E JAMA Netw Open. 2024; 7(9):e2433153.

PMID: 39269704 PMC: 11400212. DOI: 10.1001/jamanetworkopen.2024.33153.


Telephone follow-up based on artificial intelligence technology among hypertension patients: Reliability study.

Wang S, Shi Y, Sui M, Shen J, Chen C, Zhang L J Clin Hypertens (Greenwich). 2024; 26(6):656-664.

PMID: 38778548 PMC: 11180679. DOI: 10.1111/jch.14823.


Efficacy of Integrating the Management of Pain and Addiction via Collaborative Treatment (IMPACT) in Individuals With Chronic Pain and Opioid Use Disorder: Protocol for a Randomized Clinical Trial of a Digital Cognitive Behavioral Treatment.

MacLean R, Ankawi B, Driscoll M, Gordon M, Frankforter T, Nich C JMIR Res Protoc. 2024; 13:e54342.

PMID: 38506917 PMC: 10993119. DOI: 10.2196/54342.


An mHealth Text Messaging Program Providing Symptom Detection Training and Psychoeducation to Improve Hypoglycemia Self-Management: Intervention Development Study.

Lin Y, Aikens J, de Zoysa N, Hall D, Funnell M, Nwankwo R JMIR Form Res. 2023; 7:e50374.

PMID: 37788058 PMC: 10582820. DOI: 10.2196/50374.


Role of Caregivers in Remote Management of Patients With Type 2 Diabetes Mellitus: Systematic Review of Literature.

Seng J, Gwee M, Yong M, Kwan Y, Thumboo J, Low L J Med Internet Res. 2023; 25:e46988.

PMID: 37695663 PMC: 10520771. DOI: 10.2196/46988.


References
1.
Balas E, Jaffrey F, Kuperman G, Boren S, Brown G, Pinciroli F . Electronic communication with patients. Evaluation of distance medicine technology. JAMA. 1997; 278(2):152-9. View

2.
Kobak K, Taylor L, Dottl S, Greist J, Jefferson J, Burroughs D . A computer-administered telephone interview to identify mental disorders. JAMA. 1997; 278(11):905-10. View

3.
Parker M, Moffet H, Schillinger D, Adler N, Fernandez A, Ciechanowski P . Ethnic differences in appointment-keeping and implications for the patient-centered medical home--findings from the Diabetes Study of Northern California (DISTANCE). Health Serv Res. 2011; 47(2):572-93. PMC: 3290714. DOI: 10.1111/j.1475-6773.2011.01337.x. View

4.
Piette J, Mendoza-Avelares M, Ganser M, Mohamed M, Marinec N, Krishnan S . A preliminary study of a cloud-computing model for chronic illness self-care support in an underdeveloped country. Am J Prev Med. 2011; 40(6):629-32. PMC: 3816581. DOI: 10.1016/j.amepre.2011.02.014. View

5.
Patrick K, Raab F, Adams M, Dillon L, Zabinski M, Rock C . A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res. 2009; 11(1):e1. PMC: 2729073. DOI: 10.2196/jmir.1100. View