Mapping the Design Space of Technology-Based Solutions for Better Chronic Pain Care: Introducing the Pain Tech Landscape.

OBJECTIVES: Technology has substantial potential to transform and extend care for persons with chronic pain, a burdensome and costly condition. To catalyze the development of impactful applications of technology in this space, we developed the Pain Tech Landscape (PTL) model, which integrates pain care needs with characteristics of technological solutions. METHODS: Our interdisciplinary group representing experts in pain and human factors research developed PTL through iterative discussions. To demonstrate one potential use of the model, we apply data generated from a narrative review of selected pain and technology journals (2000-2020) in the form of heat map overlays, to reveal where pain tech research attention has focused to date. RESULTS: The PTL comprises three two-dimensional planes, with pain care needs on each x axis (measurement to management) and technology applications on the y axes according to a) user agency (user- to system-driven), b) usage time frame (temporary to lifelong), and c) collaboration (single-user to collaborative). Heat maps show that existing applications reside primarily in the "user-driven/management" quadrant (e.g., self-care apps). Examples of less developed areas include artificial intelligence and Internet of Things (i.e., Internet-linked household objects), and collaborative/social tools for pain management. CONCLUSIONS: Collaborative development between the pain and tech fields in early developmental stages using the PTL as a common language could yield impactful solutions for chronic pain management. The PTL could also be used to track developments in the field over time. We encourage periodic reassessment and refinement of the PTL model, which can also be adapted to other chronic conditions.

Rural-Urban Differences in Telehealth Utilization and Delayed Care During the COVID-19 Pandemic.

Purpose: Use of telehealth among older adults increased during the COVID-19 pandemic, but patterns and correlates of its use are poorly understood. The present study uses a representative sample of Medicare beneficiaries to examine rural-urban differences in telehealth utilization during the pandemic and to investigate the associations between the number and type of telehealth services utilized and delayed in-person care. Methods: The study sample (N = 3,257) came from Round 10 of the National Health and Aging Trends Study. Telehealth was measured in three modalities: phone calls, e-mails or portal messages, and video calls. Multivariable Poisson and logistic regressions were performed to test the study aims, adjusting for sociodemographic and health controls. Analytic weights and survey design factors were incorporated to generate population estimates. Findings: Results show that rurality is associated with lower rates (incidence rate ratio = 0.78, p < 0.001) and lower odds of telehealth use compared with urban older adults. Specifically, rural older adults were less likely to use e-mail or portal messages (adjusted odds ratio [AOR] = 0.43, p < 0.001) and video calls (AOR = 0.57, p = 0.004) to communicate with their usual health care provider. Use of any 2 forms of telehealth was associated with greatest increased odds of delayed in-person care among rural and urban populations during the pandemic. Conclusions: Future efforts are needed to expand the utilization of e-mail/portal messages and video call telehealth services among rural older adults. Telehealth may be an important mechanism to support care continuity during and beyond the COVID-19 pandemic for both urban and rural older adults when in-person modalities of care are not feasible.

Supervised machine learning to predict reduced depression severity in people with epilepsy through epilepsy self-management intervention.

OBJECTIVE: To develop a classifier that predicts reductions in depression severity in people with epilepsy after participation in an epilepsy self-management intervention. METHODS: Ninety-three people with epilepsy from three epilepsy self-management randomized controlled trials from the Managing Epilepsy Well (MWE) Network integrated research database met the inclusion criteria. Supervised machine learning algorithms were utilized to develop prediction models for changes in self-reported depression symptom severity. Features considered by the machine learning classifiers include age, gender, race, ethnicity, education, study type, baseline quality of life, and baseline depression symptom severity. The models were trained and evaluated on their ability to predict clinically meaningful improvement (i.e., a reduction of greater than three points on the nine-item Patient Health Questionnaire (PHQ-9)) between baseline and follow-up (<=12 weeks) depression scores. Models tested were a Multilayer Perceptron (ML), Random Forest (RF), Support Vector Machine (SVM), Logistic Regression with Stochastic Gradient Descent (SGD), K-nearest Neighbors (KNN), and Gradient Boosting (GB). A separate, outside dataset of 41 people with epilepsy was used in a validation exercise to examine the top-performing model's generalizability and performance with external data. RESULTS: All six classifiers performed better than our baseline mode classifier. Support Vector Machine had the best overall performance (average area under the curve [AUC] = 0.754, highest subpopulation AUC = 0.963). Our analysis of the SVM features revealed that higher baseline depression symptom severity, study type (i.e., intervention program goals), higher baseline quality of life, and race had the strongest influence on increasing the likelihood that a subject would experience a clinically meaningful improvement in depression scores. From the validation exercise, our top-performing SVM model performed similarly or better than the average SVM model with the outside dataset (average AUC = 0.887). SIGNIFICANCE: We trained an SVM classifier that offers novel insight into subject-specific features that are important for predicting a clinically meaningful improvement in subjective depression scores after enrollment in a self-management program. We provide evidence for machine learning to select subjects that may benefit most from a self-management program and indicate important factors that self-management programs should collect to develop improved digital tools.

A Pilot Study of a Chronic Pain Self-Management Program Delivered by Community Health Workers to Underserved African American Older Adults.

OBJECTIVE: African American older adults living in disadvantaged communities are disproportionately burdened by disabling pain. To address their needs, we tested the feasibility and potential effects of a cognitive-behavioral chronic pain self-management program delivered by community health workers. DESIGN: A single-group, pre-post evaluation of the STEPS-2 (Seniors using Technology to Engage in Pain Self-management) intervention, in which participants learned pain-management skills through web-based videos. They were also given wearable activity trackers to facilitate incremental increases in walking. In weekly telephone calls, community health workers helped participants apply skills and set goals. SUBJECTS/SETTING: Thirty-one adults in Detroit, Michigan (97% African American, 97% female, mean 68.7 years), with chronic musculoskeletal pain. METHODS: Participants completed telephone surveys at baseline and eight weeks. We measured changes in PROMIS pain interference and pain intensity, as well as Patient Global Impression of Change in pain and functioning. Feasibility indicators included participant engagement and satisfaction, and fidelity to session protocols by community health workers. RESULTS: Participants on average completed 6.6/7 sessions, and 100% agreed or strongly agreed that they improved their understanding of pain management. Average community health worker fidelity score was 1.79 (0 to 2 scale). Pain interference decreased from baseline to post-program (T-score 61.6 to 57.3, P=.000), as did pain intensity (0 to 10 scale, 6.3 to 5.1, P=.004). Approximately 90% of participants reported that pain and function were at least "a little better" since baseline. CONCLUSIONS: An intervention combining mobile health tools with support from community health workers holds promise for improving pain outcomes among underserved older adults.

Acceptability and Effects of Commercially Available Activity Trackers for Chronic Pain Management Among Older African American Adults.

BACKGROUND: Wearable activity trackers may facilitate walking for chronic pain management. OBJECTIVE: We assessed the acceptability of a commercially available tracker and three alternative modes of reporting daily steps among older adults in a low-income, urban community. We examined whether using the tracker (Fitbit ZipTM) was associated with improvements in functioning and activity. DESIGN: Randomized controlled pilot and feasibility trial. SUBJECTS: Fifty-one African American adults in Detroit, Michigan, aged 60 to 85 years, with chronic musculoskeletal pain (28 in the intervention group, 23 controls). METHODS: Participants completed telephone surveys at baseline and eight weeks. Intervention participants wore trackers for six weeks, alternately reporting daily step counts via text messages, automated telephone calls, and syncing (two weeks each). We used multimethods to assess satisfaction with trackers and reporting modalities. Adherence was indicated by the proportion of expected days on which valid step counts were reported. We assessed changes in pain interference, physical function, social participation, walking frequency, and walking duration. RESULTS: More than 90% of participants rated trackers as easy to use, but some had technical or dexterity-related difficulties. Text reporting yielded 79% reporting adherence vs 69% each for automated calls and syncing. Intervention participants did not show greater improvement in functioning or walking than controls. CONCLUSIONS: With appropriate support, wearable activity trackers and mHealth reporting for chronic pain self-care are feasible for use by vulnerable older adults. Future research should test whether the effects of trackers on pain-related outcomes can be enhanced by incorporating behavior change strategies and training in evidence-based cognitive-behavioral techniques.

Self-management for adults with epilepsy: Aggregate Managing Epilepsy Well Network findings on depressive symptoms.

OBJECTIVE: To assess depressive symptom outcomes in a pooled sample of epilepsy self-management randomized controlled trials (RCTs) from the Managing Epilepsy Well (MEW) Network integrated research database (MEW DB). METHODS: Five prospective RCTs involving 453 adults with epilepsy compared self-management intervention (n = 232) versus treatment as usual or wait-list control outcomes (n = 221). Depression was assessed with the nine-item Patient Health Questionnaire. Other variables included age, gender, race, ethnicity, education, income, marital status, seizure frequency, and quality of life. Follow-up assessments were collapsed into a visit 2 and a visit 3; these were conducted postbaseline. RESULTS: Mean age was 43.5 years (SD = 12.6), nearly two-thirds were women, and nearly one-third were African American. Baseline sample characteristics were mostly similar in the self-management intervention group versus controls. At follow-up, the self-management group had a significantly greater reduction in depression compared to controls at visit 2 (P < .0001) and visit 3 (P = .0002). Quality of life also significantly improved in the self-management group at visit 2 (P = .001) and visit 3 (P = .005). SIGNIFICANCE: Aggregate MEW DB analysis of five RCTs found depressive symptom severity and quality of life significantly improved in individuals randomized to self-management intervention versus controls. Evidence-based epilepsy self-management programs should be made more broadly available in neurology practices.

Depression and quality of life among African Americans with epilepsy: Findings from the Managing Epilepsy Well (MEW) Network integrated database.

Depression and worse quality of life (QOL) are significantly associated with epilepsy. However, limited descriptive data on depression and quality of life among African Americans with epilepsy are available. This study sought to describe the prevalence of depression among African Americans with epilepsy participating in self-management studies and to examine the relationship between depression and QOL. Using data from the Managing Epilepsy Well (MEW) research network, a subgroup of African Americans with epilepsy were selected for the analytic sample. Descriptive statistics indicated the prevalence of depression (Patient Health Questionnaire-9 [PHQ-9]) and reports of epilepsy-specific QOL (Quality of Life in Epilepsy-10 [QOLIE-10]) in the sample. Multiple linear regression examined the relationship between depression and QOL while controlling for sociodemographic characteristics and seizure frequency. The prevalence of depression (PHQ-9 ≥; 10) was 47.7%. Quality of life was the only variable significantly associated with depressive symptoms in multivariable analyses, suggesting that depressive symptoms have a stronger relationship with QOL than seizure frequency. With the high levels of depression and the significant relationship with QOL, regular screening of depression is needed among African Americans with epilepsy. Self-management programs that improve mood may also play an important role in improving the lives of African Americans with epilepsy.

Using the Replicating Effective Programs Framework to Adapt a Heart Health Intervention.

Heart disease is the leading cause of death in the United States. African Americans and people of low socioeconomic status suffer disproportionately from heart disease-related morbidity and mortality. In Detroit, Michigan, a primarily African American and low-income urban area, heart disease mortality is at twice the national rate. Despite evidence for the effectiveness of self-management support interventions in reducing chronic disease burden for older adults, few are adapted for communities most in need. This article describes the process of adapting Take PRIDE, an evidence-based heart disease self-management intervention, for older adults in Detroit via the Replicating Effective Programs (REP) framework. Working within a community-academic partnership, we found REP useful in facilitating the identification of diverse stakeholders, core versus adaptable elements of the intervention and barriers to implementation. We also made several modifications to the REP framework in order to better fit our project needs. Overall, we found REP to be an effective, flexible tool that allowed us to successfully adapt a disease-management intervention for this setting. Processes, lessons learned, and recommendations offered in this article may help researchers and practitioners working to expand access to self-management support for populations most affected by chronic disease.

Developing a typology of patient-generated behavioral goals for cognitive behavioral therapy for chronic pain (CBT-CP): classification and predicting outcomes.

Patient-generated treatment goals describe what patients value, yet the content of these goals, and the relationship among goal types, goal accomplishment, and treatment outcomes has received little examination. We used inductive sorting to categorize patient-generated goals made by 147 adults receiving cognitive-behavioral therapy for chronic pain. The resulting goal categories were: Physical Activity (29.0%), Functional Status (24.6%), Wellness (16.3%), Recreational Activities (11.3%), House/Yard Work (9.7%), Socializing (7.1%), and Work/School (2.0%). Next, we examined associations between number of goals by category, goal accomplishment, and clinically meaningful improvements in pain-related interference, pain intensity and depressive symptoms. Improvement in all outcome domains was related to goal accomplishment. Additionally, depressive symptoms were related to number of Physical Activity, House/Yard Work, Recreational Activities, and Wellness goals, whereas improved pain-intensity was significantly related to House/Yard Work. Classifying patient-generated goals facilitates investigation of the relationships among goal type, goal accomplishment and treatment outcomes.

Occupational Therapist-Delivered Cognitive-Behavioral Therapy for Knee Osteoarthritis: A Randomized Pilot Study.

OBJECTIVE: This study assessed the feasibility and preliminary efficacy of an online-assisted, occupational therapist-delivered, cognitive-behavioral therapy intervention to promote physical function in patients with knee osteoarthritis (KOA). METHOD: Fifty-seven participants with KOA were randomized 2:1 to the Engage program (eight clinic-based sessions supported by online modules) or usual care. Using analysis of covariance, we estimated Engage's effect on physical function (Western Ontario and McMaster Universities Osteoarthritis Index's Physical Function subscale [WOMAC-PF]) at 6 mo. RESULTS: Data were analyzed on 46 completers. Engage was associated with a small effect (η² = 0.01) on the WOMAC-PF. More Engage participants than controls reported much or very much improvement (45% vs. 13%; p = .03). Satisfaction was high, and 30 of 31 participants attended six sessions or more. CONCLUSION: An online-supported cognitive-behavioral program for people with KOA delivered by occupational therapists is feasible and may contribute to improved physical function.

Meaning-based coping, chronic conditions and quality of life in advanced cancer & caregiving.

OBJECTIVE: This study examined the relationship between the number of co-existing health problems (patient comorbidities and caregiver chronic conditions) and quality of life (QOL) among patients with advanced cancer and their caregivers and assessed the mediating and moderating role of meaning-based coping on that relationship. METHODS: Data came from patients with advanced cancers (breast, colorectal, lung, and prostate) and their family caregivers (N = 484 dyads). Study hypotheses were examined with structural equation modeling using the actor-partner interdependence mediation model. Bootstrapping and model constraints were used to test indirect effects suggested by the mediation models. An interaction term was added to the standard actor-partner interdependence model to test for moderation effects. RESULTS: More patient comorbidities were associated with lower patient QOL. More caregiver chronic conditions were associated with lower patient and caregiver QOL. Patient comorbidities and caregiver chronic conditions had a negative influence on caregiver meaning-based coping but no significant influence on patient meaning based coping. Caregiver meaning-based coping mediated relationships between patient comorbidities and caregiver health conditions and patient and caregiver QOL. No significant moderating effects were observed. CONCLUSIONS: Despite the severity of advanced cancer for patients and caregivers, the co-existing health problems of one member of the dyad have the potential to directly or indirectly affect the wellbeing of the other. Future research should consider how the number of patient comorbidities and caregiver chronic conditions, as well as the ability of patients and caregivers to manage those conditions, influences their meaning-based coping and wellbeing. Copyright © 2016 John Wiley & Sons, Ltd.

A randomized clinical trial of a culturally responsive intervention for African American women with asthma.

BACKGROUND: Few interventions have focused on the difficulties that African American women face when managing asthma. OBJECTIVE: To evaluate a telephone-based self-regulation intervention that emphasized African American women's management of asthma in a series of 6 sessions. METHODS: A total of 422 African American women with persistent asthma were randomly assigned to either an intervention or control group receiving usual care. Behavioral factors, symptoms and asthma control, asthma-related quality of life, and health care use at baseline and 2 years after baseline were assessed. Generalized estimating equations were used to assess the long-term effect of the intervention on outcomes. RESULTS: Compared with the control group, those who completed the full intervention (6 sessions) had significant gains in self-regulation of their asthma (B estimate, 0.73; 95% CI, 0.17-1.30; P < .01), noticing changes to their asthma during their menstrual cycle (B estimate, 1.42; 95% CI, 0.69-2.15; P < .001), and when having premenstrual syndrome (B estimate, 1.70; 95% CI, 0.67-2.72; P < .001). They also had significant reductions in daytime symptoms (B estimate, -0.15; 95% CI, -0.27 to -0.03; P < .01), asthma-related hospitalization (B estimate, 0.51; 95% CI, 0.00-1.02; P < .05), and improved asthma control (B estimate, 1.34; 95% CI, 0.57-2.12; P < .001). However, neither grouped changed over time in outcomes. CONCLUSION: Despite high comorbidity, African American women who completed a culturally responsive self-management program had improvements in asthma outcomes compared with the control group. Future work should address significant comorbidities and psychosocial issues alongside asthma management to improve asthma outcomes in the long term. TRIAL REGISTRATION: clinicaltrials.gov Identifier NCT01117805.

Effects of pediatric asthma care coordination in underserved communities on parent perceptions of care and asthma-management confidence.

OBJECTIVE: Disparities by race and socioeconomic status persist in pediatric asthma morbidity, mortality, and treatment. Improving parent/provider communication and parents' asthma-management confidence may result in better asthma control in vulnerable populations. The Merck Childhood Asthma Network, Inc. funded an initiative to implement medical-social care coordination to improve asthma outcomes at sites in four low-income, urban communities (Los Angeles, CA; Philadelphia, PA; Chicago, IL; and San Juan, PR.) As part of a cross-site evaluation of this effort, pre- post-program changes in parents' reports of asthma care and management were assessed. METHODS: Across sites, 805 parents or other caregivers responded to a baseline survey that was repeated one year later following their child's participation in care coordination. Parents' asthma-management confidence, as well as their perceptions of provider access, trust, and communication, were measured with Likert scales. Linear mixed models were used to assess improvement in these variables, across and within sites, adjusting for sociodemographics. RESULTS: Pooled across sites, the adjusted mean estimate for all outcomes showed a significant improvement (p <.05) from baseline to follow-up. Knowledge and Between-Provider Communication improved significantly (p <.05) within all four sites; Access improved significantly in Chicago, Philadelphia, and Puerto Rico; Trust improved significantly in Chicago, Los Angeles, and Philadelphia; and Patient-Provider Communication improved significantly in Philadelphia only. CONCLUSION: Pediatric asthma care coordination, as implemented variously in diverse settings, was associated with improvement in parents' perceptions of asthma care and self-reported asthma-management knowledge and confidence. This positive impact on parents may help sustain care coordination's impact on children.

The influence of dyadic symptom distress on threat appraisals and self-efficacy in advanced cancer and caregiving.

PURPOSE: Physical and psychological symptoms experienced by patients with advanced cancer influence their well-being; how patient and family caregiver symptom distress influence each other's well-being is less understood. This study examined the influence of patient and caregiver symptom distress on their threat appraisals and self-efficacy to cope with cancer. METHODS: We conducted a secondary analysis of baseline data from an RCT that enrolled patients with advanced cancer and their family caregivers (N = 484 dyads). Structural equation modeling and the actor-partner interdependence mediation model (APIMeM) were used to examine two models: threat appraisals as a mediator of the relationship between symptom distress and individual and family-related self-efficacy; and, self-efficacy (individual and family dimensions) as mediators of the relationship between symptom distress and threat appraisals. RESULTS: Data suggest the self-efficacy mediation model was the preferred model. More patient and caregiver symptom distress was directly associated with their own lower self-efficacy and more threatening appraisals. Patient and caregiver individual self-efficacy also mediated the relationship between their own symptom distress and threat appraisals. There were also significant interdependent effects. More patient symptom distress was associated with less caregiver family-related self-efficacy, and more caregiver symptom distress was directly associated with more threatening patient appraisals. CONCLUSIONS: Patient and caregiver symptom distress influenced their own and in some cases each other's cognitive appraisals. Limitations of this study include the use of cross-sectional data and assessments of individually-focused (vs. family-focused) threat appraisals. These findings highlight the need to consider the management of patient and caregiver symptoms during advanced cancer.

Engagement in health-promoting behaviors and patient-caregiver interdependence in dyads facing advanced cancer: an exploratory study.

Diet and exercise are important for the wellbeing of people with cancer and their family caregivers. Unfortunately, little is known about their behaviors over time or factors that may influence their engagement in these behaviors. This exploratory study examined the influence of chronic conditions, symptom distress, and perceived social support on exercise and diet behaviors of patients with advanced cancer and their caregivers using the actor-partner interdependence mediation model (APIMeM) and interdependence theory as guiding frameworks. This secondary analysis uses self-report data from a large RCT (N = 484 patient-caregiver dyads) at three time points: baseline data was collected within three months of the diagnosis, at 3 months post-baseline, and 6 months post-baseline. A number of actor effects were observed: patient and caregiver prior exercise and diet were significant predictors of their own future exercise and diet behaviors; more patient-reported social support was associated with less patient exercise; more patient symptom distress was associated with poorer patient diet; and, more caregiver-reported social support was associated with more caregiver exercise and better caregiver diet. Partner effects were also observed: more patient exercise was positively associated with more caregiver exercise; more patient comorbidities were associated with better caregiver diet; more caregiver-reported social support was associated with better patient diet; and, more patient-reported social support was associated with better caregiver diet. Despite the challenges of advanced cancer and caregiving, past exercise and diet behavior remained a significant predictor of future behavior. Other health problems and perceptions of social support within the dyad may exert a positive or negative influence on patient/caregiver diet and exercise.

Pediatric Asthma Care Coordination in Underserved Communities: A Quasiexperimental Study.

OBJECTIVES: To assess the effect of care coordination on asthma outcomes among children in underserved urban communities. METHODS: We enrolled children, most of whom had very poorly or not well-controlled asthma, in medical-social care coordination programs in Los Angeles, California; Chicago, Illinois; Philadelphia, Pennsylvania; and San Juan, Puerto Rico in 2011 to 2014. Participants (n = 805; mean age = 7 years) were 60% male, 50% African American, and 42% Latino. We assessed asthma symptoms and health care utilization via parent interview at baseline and 12 months. To prevent overestimation of intervention effects, we constructed a comparison group using bootstrap resampling of matched control cases from previous pediatric asthma trials. RESULTS: At follow-up, intervention participants had 2.2 fewer symptom days per month (SD = 0.3; P < .01) and 1.9 fewer symptom nights per month (SD = 0.35; P < .01) than did the comparison group. The relative risk in the past year associated with the intervention was 0.63 (95% confidence interval [CI] = 0.45, 0.89) for an emergency department visit and 0.69 (95% CI = 0.47, 1.01) for hospitalization. CONCLUSIONS: Care coordination may improve pediatric asthma symptom control and reduce emergency department visits. POLICY IMPLICATIONS: Expanding third-party reimbursement for care coordination services may help reduce pediatric asthma disparities.

The "Retrofitting" Approach to Adapting Evidence-Based Interventions: A Case Study of Pediatric Asthma Care Coordination, United States, 2010-2014.

Adaptation of evidence-based interventions upon implementation into new practice settings is universal, yet poorly understood. During a cross-site evaluation of the implementation of a proven intervention for pediatric asthma care coordination into 4 resource-challenged settings, we conducted in-depth interviews with site representatives, who reported how and why they modified intervention components. Interview notes were coded for themes. We focused on a single theme from a respondent who described the adaptation process as "backing" the intervention into ongoing services; we found evidence of a similar process at other sites. We labeled this process "retrofitting" to signify adaptation that consists of altering existing services to align with intervention components, rather than modifying the intervention to fit a new setting. Advantages of retrofitting may include allowing organizations to keep what works, capitalizing on existing support for program activities, elevating the role of local knowledge, and potentially promoting the sustainability of effective innovations.

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

BACKGROUND: 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 self-care 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 m-health (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). M-health+CP patients were more likely to report excellent health via IVR (adjusted odds ratio [AOR] = 2.60; 95% confidence interval [CI], 1.07, 6.32) and less likely to report days in bed due to illness (AOR = 0.42; 95% CI, 0.19, 0.91). CONCLUSIONS: In this study we found that caregiver feedback increased engagement in m-health and may improve patients' health status relative to standard approaches. M-health+CP represents a scalable strategy for increasing the reach of self-management support in LMICs.

A study of mobile phone use among patients with noncommunicable diseases in La Paz, Bolivia: implications for mHealth research and development.

BACKGROUND: While global momentum supporting mobile health (mHealth) research and development is increasing, it is imperative to assess the potential fit of mHealth programs in local settings. We describe the penetration of mobile technologies among Bolivian patients with noncommunicable diseases (NCDs) to inform research on mHealth interventions for the Andean region as well as low- and middle-income countries more generally. METHODS: Five-hundred and fifty-nine NCD patients were identified from outpatient clinics affiliated with four hospitals in the cities of La Paz and El Alto. Respondents completed surveys about their use of standard mobile phones and smartphones. Respondents also provided information about their sociodemographic characteristics, health status, and access to care. We used descriptive statistics and logistic regression to understand the variation in mobile phone use across groups defined by patient characteristics associated with health service access and socioeconomic vulnerability. RESULTS: Respondents were on average 52 years of age, 33% had at most a sixth grade education, and 30% spoke an indigenous language in their home. Eighty-six percent owned a mobile phone and 13% owned a smartphone. Fifty-eight percent of mobile phone users sent or received a text message at least once a week. Some mobile phone owners reported connectivity problems, such as lacking mobile signal (9%) or credit to make a call (17%). Younger age, male gender, high health literacy, more years of education, and having fewer previously diagnosed NCDs were positively related to mobile phone ownership. Among mobile phone users, respondents with lower education and other indicators of vulnerability were less likely than their counterparts to report frequent usage of texting services. CONCLUSIONS: Mobile phones have high penetration among NCD patients in La Paz, Bolivia, including among those who are older, less educated, and who have other socioeconomic risk factors. Smartphone use is still relatively uncommon, even among patients who are younger and more educated. While certain patient characteristics such as age or education impact patients' use of text messaging, mobile phone-based mHealth interventions are feasible strategies for increasing NCD patients' access to self-management support between face-to-face clinical encounters.

A Mixed-Method Application of the Program Sustainability Assessment Tool to Evaluate the Sustainability of 4 Pediatric Asthma Care Coordination Programs.

INTRODUCTION: As part of a cross-site evaluation of the implementation of an evidence-based intervention for pediatric asthma care coordination into low-income communities, we sought to understand the factors that influenced the programs' expected sustainability of the programs after external funding ended. METHODS: We administered the Center for Public Health Systems Science's Program Sustainability Assessment Tool, a 40-item instrument assessing 8 domains of sustainability capacity, to 12 key informants across 4 program sites. We developed open-ended probes for each domain. We examined patterns in site-specific and overall domain scores, and coded qualitative data to identify challenges and strategies in each domain. RESULTS: Across sites, the domains of program evaluation (cross-site mean, 5.4 on a scale of 1-7) and program adaptation (mean, 5.2) had the highest ratings (indicating a strong finding during program evaluation) and funding stability had the lowest rating (mean, 2.7). Scores varied most across sites in the domains of strategic planning (SD, 0.9) and funding stability (SD, 0.9). Qualitative data revealed key challenges, including how implementation difficulties and externally led implementation can impede planning for sustainability. Program leaders discussed multiple strategies for enhancing capacity within each domain, including capitalizing on the interconnectedness of all domains, such as using evaluation and communication strategies to bolster internal political support throughout the implementation process. CONCLUSION: Findings indicating weak and strong domains were consistent with previous findings of studies that used the Program Sustainability Assessment Tool. The addition of qualitative probes yielded detailed data describing capacity strengths, weaknesses, and strategies to increase the likelihood that programs are sustained.