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.

BackgroundMobile health (mHealth) interventions may improve heart failure (HF) self-care, but standard models do not address informal caregivers’ needs for information about the patient’s status or how the caregiver can help.ObjectiveWe evaluated mHealth support for caregivers of HF patients over and above the impact of a standard mHealth approach.MethodsWe identified 331 HF patients from Department of Veterans Affairs outpatient clinics. All patients identified a “CarePartner” outside their household. Patients randomized to “standard mHealth” (n=165) received 12 months of weekly interactive voice response (IVR) calls including questions about their health and self-management. Based on patients’ responses, they received tailored self-management advice, and their clinical team received structured fax alerts regarding serious health concerns. Patients randomized to “mHealth+CP” (n=166) received an identical intervention, but with automated emails sent to their CarePartner after each IVR call, including feedback about the patient’s status and suggestions for how the CarePartner could support disease care. Self-care and symptoms were measured via 6- and 12-month telephone surveys with a research associate. Self-care and symptom data also were collected through the weekly IVR assessments.ResultsParticipants were on average 67.8 years of age, 99% were male (329/331), 77% where white (255/331), and 59% were married (195/331). During 15,709 call-weeks of attempted IVR assessments, patients completed 90% of their calls with no difference in completion rates between arms. At both endpoints, composite quality of life scores were similar across arms. However, more mHealth+CP patients reported taking medications as prescribed at 6 months (8.8% more, 95% CI 1.2-16.5, P=.02) and 12 months (13.8% more, CI 3.7-23.8, P<.01), and 10.2% more mHealth+CP patients reported talking with their CarePartner at least twice per week at the 6-month follow-up (P=.048). mHealth+CP patients were less likely to report negative emotions during those interactions at both endpoints (both P<.05), were consistently more likely to report taking medications as prescribed during weekly IVR assessments, and also were less likely to report breathing problems or weight gains (all P<.05). Among patients with more depressive symptoms at enrollment, those randomized to mHealth+CP were more likely than standard mHealth patients to report excellent or very good general health during weekly IVR calls.ConclusionsCompared to a relatively intensive model of IVR monitoring, self-management assistance, and clinician alerts, a model including automated feedback to an informal caregiver outside the household improved HF patients’ medication adherence and caregiver communication. mHealth+CP may also decrease patients’ risk of HF exacerbations related to shortness of breath and sudden weight gains. mHealth+CP may improve quality of life among patients with greater depressive symptoms. Weekly health and self-care monitoring via mHealth tools may identify intervention effec...

Background Mobile health services may improve chronic illness care, but interventions rarely support informal caregivers’ efforts. Objectives To determine whether automated feedback to caregivers of chronic heart failure (HF) patients impacts caregiving burden and assistance with self-management. Research Design Randomized comparative effectiveness trial. Subjects 369 HF patients were recruited from a VA healthcare system. All patients participated with a “CarePartner” or informal caregiver outside their household. Intervention Patients randomized to “standard mHealth” received weekly automated self-care support calls for 12 months with notifications about problems sent to clinicians. “mHealth+CP” patients received identical services, plus email summaries and suggestions for self-care assistance automatically sent to their CarePartners. Measures At baseline, six- and twelve months, CarePartners completed assessments of caregiving strain, depressive symptoms, and participation in self-care support. Results mHealth+CP CarePartners reported less caregiving strain than controls at both 6- and 12-months (both p≤.03). That effect as well as improvements in depressive symptoms were seen primarily among CarePartners reporting greater burden at baseline (p ≤.03 for interactions between arm and baseline strain/depression at both endpoints). While most mHealth+CP CarePartners increased the amount of time spent in self-care support, those with the highest time commitment at baseline reported decreases at both follow-ups (all p<.05). mHealth+CP CarePartners reported more frequently attending patients’ medical visits at six months (p=.049) and greater involvement in medication adherence at both endpoints (both p≤.032). Conclusions When CarePartners experienced significant caregiving strain and depression, systematic feedback about their patient-partner decreased those symptoms. Feedback also increased most CarePartners’ engagement in self-care.

We used data from Interactive Voice Response (IVR) self-management support studies in Honduras, Mexico, and the United States (US) to determine whether IVR calls to Spanish-speaking patients with chronic illnesses is a feasible strategy for improving monitoring and education between face-to-face visits. 268 patients with diabetes or hypertension participated in 6–12 weeks of weekly IVR follow-up. IVR calls emanated from US servers with connections via Voice over IP. More than half (54%) of patients enrolled with an informal caregiver who received automated feedback based on the patient’s assessments, and clinical staff received urgent alerts. Participants had on average 6.1 years of education, and 73% were women. After 2,443 person weeks of follow-up, patients completed 1,494 IVR assessments. Call completion rates were higher in the US (75%) than in Honduras (59%) or Mexico (61%; p<0.001). Patients participating with an informal caregiver were more likely to complete calls (adjusted odds ratio [AOR]: 1.53; 95% confidence interval [CI]: 1.04, 2.25) while patients reporting fair or poor health at enrollment were less likely (AOR:0.59; 95% CI: 0.38, 0.92). Satisfaction rates were high, with 98% of patients reporting that the system was easy to use, and 86% reporting that the calls helped them a great deal in managing their health problems. In summary, IVR self-management support is feasible among Spanish-speaking patients with chronic disease, including those living in less-developed countries. Voice over IP can be used to deliver IVR disease management services internationally; involving informal caregivers may increase patient engagement.

Background: Mobile health (m-health) work in low- and middle-income countries (LMICs) mainly consists of small pilot programs with an unclear path to scaling and dissemination. We describe the deployment and testing of an m-health platform for non-communicable disease (NCD) self-management support in Bolivia.Methods: Three hundred sixty-four primary care patients in La Paz with diabetes or hypertension completed surveys about their use of mobile phones, health and access to care. One hundred sixty-five of those patients then participated in a 12-week demonstration of automated telephone monitoring and self-management support. Weekly interactive voice response (IVR) calls were made from a platform established at a university in La Paz, under the direction of the regional health ministry.Results: Thirty-seven percent of survey respondents spoke indigenous languages at home and 38% had six or fewer years of education. Eighty-two percent had a mobile phone, 45% used text messaging with a standard phone, and 9% had a smartphone. Smartphones were least common among patients who were older, spoke indigenous languages, or had less education. IVR program participants completed 1007 self-management support calls with an overall response rate of 51%. IVR call completion was lower among older adults, but was not related to patients’ ethnicity, health status, or healthcare access. IVR health and self-care reports were consistent with information reported during in-person baseline interviews. Patients’ likelihood of reporting excellent, very good, or good health (versus fair or poor health) via IVR increased during program participation and was associated with better medication adherence. Patients completing follow-up interviews were satisfied with the program, with 19/20 (95%) reporting that they would recommend it to a friend.Conclusion: By collaborating with LMICs, m-health programs can be transferred from higher-resource centers to LMICs and implemented in ways that improve access to self-management support among people with NCDs.

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 1,173 patients with: heart failure, depression, diabetes, and 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 < $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: 1.36; 95% CI: 1.06, 1.75). Older patients had higher call completion rates, even among patients > 75 years of age. 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.

Background Although interactive voice response (IVR) calls can be an effective tool for chronic disease management, many regions of the world lack the infrastructure to provide these services. Objective This study evaluated the feasibility and potential impact of an IVR program using a cloud-computing model to improve diabetes management in Honduras. Methods A single group, pre-post study was conducted between June and August 2010. The telecommunications infrastructure was maintained on a U.S. server, and calls were directed to patients’ cell phones using VoIP. Eighty-five diabetes patients in Honduras received weekly IVR disease management calls for six weeks, with automated follow-up emails to clinicians, and voicemail reports to family caregivers. Patients completed interviews at enrollment and a six week follow-up. Other measures included patients’ glycemic control (A1c) and data from the IVR calling system. Results 55% of participants completed the majority of their IVR calls and 33% completed 80% or more. Higher baseline blood pressures, greater diabetes burden, greater distance from the clinic, and better adherence were related to higher call completion rates. Nearly all participants (98%) reported that because of the program, they improved in aspects of diabetes management such as glycemic control (56%) or foot care (89%). Mean A1c’s decreased from 10.0% at baseline to 8.9% at follow-up (p<.01). Most participants (92%) said that if the service were available in their clinic they would use it again. Conclusions Cloud computing is a feasible strategy for providing IVR services globally. IVR self-care support may improve self-care and glycemic control for patients in under-developed countries.

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