Automated Telephone Counseling for Parents of Overweight Children

Estabrooks, Paul A.; Shoup, Jo Ann; Gattshall, Michelle; Dandamudi, Padma; Shetterly, Susan; Xu, Stan

doi:10.1016/j.amepre.2008.09.024

Cited by 73 publications

(123 citation statements)

References 53 publications

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“…Mobile health (m-health) services seek to increase access to between-visit support by augmenting clinician contact with automated services delivered via smart phones, 8 short message service (text messaging), [9][10][11][12] and automated calls. [13][14][15][16][17] Automated telephone management and behavior-change calls can improve selfcare and health outcomes among NCD patients and may be more cost-effective than in-person visits or calls with ''live'' clinicians. [14][15][16][17] However, rigorous studies of m-health services in LMICs are rare.…”

Section: Telehealth and Mobile Health In Chronic Disease Managementmentioning

confidence: 99%

“…[13][14][15][16][17] Automated telephone management and behavior-change calls can improve selfcare and health outcomes among NCD patients and may be more cost-effective than in-person visits or calls with ''live'' clinicians. [14][15][16][17] However, rigorous studies of m-health services in LMICs are rare.…”

Section: Telehealth and Mobile Health In Chronic Disease Managementmentioning

confidence: 99%

See 1 more Smart Citation

Hypertension Management Using Mobile Technology and Home Blood Pressure Monitoring: Results of a Randomized Trial in Two Low/Middle-Income Countries

Piette

Datwani

Gaudioso

et al. 2012

Telemedicine and e-Health

152

195

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Objective: Hypertension and other noncommunicable diseases represent a growing threat to low/middle-income countries (LMICs). Mobile health technologies may improve noncommunicable disease outcomes, but LMICs lack resources to provide these services. We evaluated the efficacy of a cloud computing model using automated self-management calls plus home blood pressure (BP) monitoring as a strategy for improving systolic BPs (SBPs) and other outcomes of hypertensive patients in two LMICs. Subjects and Methods: This was a randomized trial with a 6-week follow-up. Participants with high SBPs ( ‡140 mm Hg if nondiabetic and ‡130 mm Hg if diabetic) were enrolled from clinics in Honduras and Mexico. Intervention patients received weekly automated monitoring and behavior change telephone calls sent from a server in the United States, plus a home BP monitor. At baseline, control patients received BP results, hypertension information, and usual healthcare. The primary outcome, SBP, was examined for all patients in addition to a preplanned subgroup with low literacy or high hypertension information needs. Secondary outcomes included perceived health status and medicationrelated problems. Results: Of the 200 patients recruited, 181 (90%) completed follow-up, and 117 of 181 had low literacy or high hypertension information needs. The median annual income was $2,900 USD, and average educational attainment was 6.5 years. At follow-up intervention patients' SBPs decreased 4.2 mm Hg relative to controls (95% confidence interval -9.1, 0.7; p = 0.09). In the subgroup with high information needs, intervention patients' average SBPs decreased 8.8 mm Hg ( -14.2, -3.4, p = 0.002). Compared with controls, intervention patients at follow-up reported fewer depressive symptoms (p = 0.004), fewer medication problems (p < 0.0001), better general health (p < 0.0001), and greater satisfaction with care (p £ 0.004). Conclusions: Automated telephone care management plus home BP monitors can improve outcomes for hypertensive patients in LMICs. A cloud computing model within regional telecommunication centers could make these services available in areas with limited infrastructure for patient-focused informatics support.

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Section: Telehealth and Mobile Health In Chronic Disease Managementmentioning

confidence: 99%

Section: Telehealth and Mobile Health In Chronic Disease Managementmentioning

confidence: 99%

Hypertension Management Using Mobile Technology and Home Blood Pressure Monitoring: Results of a Randomized Trial in Two Low/Middle-Income Countries

Piette

Datwani

Gaudioso

et al. 2012

Telemedicine and e-Health

152

195

View full text Add to dashboard Cite

show abstract

“…Nearly half of the studies were conducted in the United States (n = 18), 22,24,29,33,41,[46][47][48][49]50,56,63,64,[66][67][68][69]71 5 in Australia, 25,30,[35][36][37] and the others in Israel (n = 3), 39,43,44 Germany (n = 2), 32,51 the United Kingdom (n = 2), 34,40 Belgium, 65 China, 28 Finland, 42 Iran, 45 Korea, 31 Mexico, 38 Taiwan, 26 and Tunisia. 23 Eighteen studies targeted obese children exclusively, 22,23,26,28,29,31,34,38,[40][41][42]44,46,…”

Section: Description Of Included Studiesmentioning

confidence: 99%

“…Most studies (n = 14) were conducted in a hospital environment, 22,25,29,32,36,38,[40][41][43][44]46,63,65,68 followed by the community (n = 6), 23,27,[33][34][35]51 school (n = 6), 26,42,[48][49][50]64 and primary care setting (n = 6). 30,37,39,47,67,69 Thirteen studies were conducted in children, 25,30,[33][34][35]37,[40][41][42]44,47,50,66 7 in adolescents, [22][23][24]28,29,31,…”

Section: Description Of Included Studiesmentioning

confidence: 99%

Effectiveness of Lifestyle Interventions in Child Obesity: Systematic Review With Meta-analysis

et al. 2012

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BACKGROUND AND OBJECTIVES:The effects of lifestyle interventions on cardio-metabolic outcomes in overweight children have not been reviewed systematically. The objective of the study was to examine the impact of lifestyle interventions incorporating a dietary component on both weight change and cardio-metabolic risks in overweight/obese children.METHODS: English-language articles from 1975 to 2010, available from 7 databases, were used as data sources. Two independent reviewers assessed articles against the following eligibility criteria: randomized controlled trial, participants overweight/obese and #18 years, comparing lifestyle interventions to no treatment/wait-list control, usual care, or written education materials. Study quality was critically appraised by 2 reviewers using established criteria; Review Manager 5.1 was used for meta-analyses. RESULTS:

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“…6 Mobile health (m-health) tools are part of a comprehensive plan to improve chronic illness care in LMICs. [7][8][9] Trials indicate that interactive voice response (IVR)-based interventions effectively address diabetes risk factors such as poor diet and sedentary behavior, [10][11][12] and IVR-supported nurse follow-up can improve glycemic control and self-care after diabetes is diagnosed. [12][13][14] In Honduras, weekly IVR self-management support calls were associated with improved diabetes self-management and A1c levels, 15 and in Honduras and Mexico, a similar IVR-based intervention resulted in better blood pressure control and improved self-care among hypertensive patients.…”

Section: Introductionmentioning

confidence: 99%

Structured Caregiver Feedback Enhances Engagement and Impact of Mobile Health Support: A Randomized Trial in a Lower-Middle-Income Country

Piette

Marinec

Janda

et al. 2016

Telemedicine and e-Health

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This trial is registered at ClinicalTrials.gov with clinical trial registration number HUM00081734. AbstractBackground: Patients' engagement in mobile health (m-health) interventions using interactive voice response (IVR) calls is less in low-and middle-income countries (LMICs) than in industrialized ones. We conducted a study to determine whether automated telephone feedback to informal caregivers (''CarePartners'') increased engagement in m-health support among diabetes and hypertension patients in Bolivia. Materials and Methods: Patients with diabetes and/or hypertension were identified through ambulatory clinics affiliated with four hospitals. All patients enrolled with a CarePartner. Patients were randomized to weekly IVR calls including self-management questions and self-care education either alone (''standard m-health'') or with automated feedback about health and selfcare needs sent to their CarePartner after each IVR call (''m-health+CP''). Results: The 72 participants included 39 with diabetes and 53 with hypertension, of whom 19 had £6 years of education. After 1,225 patient-weeks of attempted IVR assessments, the call completion rate was higher among patients randomized to m-health+CP compared with standard mhealth (62.0% versus 44.9%; p < 0.047). CarePartner feedback more than tripled call completion rates among indigenous patients and patients with low literacy (p < 0.001 for both). Mhealth+CP patients were more likely to report excellent health

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Automated Telephone Counseling for Parents of Overweight Children

Cited by 73 publications

References 53 publications

Hypertension Management Using Mobile Technology and Home Blood Pressure Monitoring: Results of a Randomized Trial in Two Low/Middle-Income Countries

Hypertension Management Using Mobile Technology and Home Blood Pressure Monitoring: Results of a Randomized Trial in Two Low/Middle-Income Countries

Effectiveness of Lifestyle Interventions in Child Obesity: Systematic Review With Meta-analysis

Structured Caregiver Feedback Enhances Engagement and Impact of Mobile Health Support: A Randomized Trial in a Lower-Middle-Income Country

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