BACKGROUND: Readmission rates are high among heart failure (HF) patients who require home health care (HHC) after hospitalization. Although HF patients who require HHC are often sicker than those who do not, HHC delivery itself may also be suboptimal. OBJECTIVE: We aimed to describe the workflow of HHC among adults discharged home after a HF hospitalization, including the roles of various stakeholders, and to determine where along these workflow challenges and opportunities for improvement exist. DESIGN AND PARTICIPANTS: In this qualitative study, we used purposeful sampling to approach and recruit a variety of key stakeholders including home health aides, nurses, HF patients, family caregivers, physicians, social workers, home care agency leaders, and policy experts. The study took place in New York, NY, from March to October 2018. APPROACH: Using a semi-structured topic guide, we elicited participants' experiences with HHC in HF through a combination of one-on-one interviews and focus groups. Data were recorded, transcribed, and analyzed thematically. We also asked selected participants to depict in a drawing their understanding of HHC workflow after hospitalization for HF patients. We synthesized the drawings into a final image. KEY RESULTS: Study participants (N = 80) described HHC for HF patients occurring in 6 steps, with home health aides playing a main role: (1) transitioning from hospital to home; (2) recognizing clinical changes; (3) making decisions; (4) managing symptoms; (5) asking for help; and (6) calling 911. Participants identified challenges and opportunities for improvement for each step. CONCLUSIONS: Our findings suggest that HHC for HF patients occurs in discrete steps, each with different challenges. Rather than a one-size-fits-all approach, various interventions may be required to optimize HHC delivery for HF patients in the post-discharge period.

AbstractAlthough highly involved in heart failure (HF) patients’ care, home care workers (HCWs) lack HF training and are poorly integrated into the healthcare team. For its potential to address these challenges, we examined the role of technology among HCWs caring for HF patients. We conducted 38 interviews with key stakeholders. Overall, four themes emerged. Participants reported that technology is critical for HF care, but existing systems are outdated and ineffective. HCWs also have limited access to electronic resources. Technology, training, and principles of implementation science can be leveraged to improve HCWs’ experience in caring for HF patients and home healthcare delivery.

Background Given the interrelated health of children and parents, strategies to promote stress regulation are critically important in the family context. However, the uptake of preventive mental health is limited among parents owing to competing family demands. Objective In this study, we aim to determine whether it is feasible and acceptable to randomize digital prompts designed to engage parents in real-time brief mindfulness activities guided by a commercially available app. Methods We conducted a 30-day pilot microrandomized trial among a sample of parents who used Android smartphones. Each day during a parent-specified time frame, participants had a 50% probability of receiving a prompt with a message encouraging them to engage in a mindfulness activity using a commercial app, Headspace. In the 24 hours following randomization, ecological momentary assessments and passively collected smartphone data were used to assess proximal engagement (yes or no) with the app and any mindfulness activity (with or without the app). These data were combined with baseline and exit surveys to determine feasibility and acceptability. Results Over 4 months, 83 interested parents were screened, 48 were eligible, 16 were enrolled, and 10 were successfully onboarded. Reasons for nonparticipation included technology barriers, privacy concerns, time constraints, or change of mind. In total, 80% (8/10) of parents who onboarded successfully completed all aspects of the intervention. While it is feasible to randomize prompt delivery, only 60% (6/10) of parents reported that the timing of prompts was helpful despite having control over the delivery window. Across the study period, we observed higher self-reported engagement with Headspace on days with prompts (31/62, 50% of days), as opposed to days without prompts (33/103, 32% of days). This pattern was consistent for most participants in this study (7/8, 87%). The time spent using the app on days with prompts (mean 566, SD 378 seconds) was descriptively higher than on days without prompts (mean 225, SD 276 seconds). App usage was highest during the first week and declined over each of the remaining 3 weeks. However, self-reported engagement in mindfulness activities without the app increased over time. Self-reported engagement with any mindfulness activity was similar on days with (40/62, 65% of days) and without (65/103, 63% of days) prompts. Participants found the Headspace app helpful (10/10, 100%) and would recommend the program to others (9/10, 90%). Conclusions Preliminary findings suggest that parents are receptive to using mindfulness apps to support stress management, and prompts are likely to increase engagement with the app. However, we identified several implementation challenges in the current trial, specifically a need to optimize prompt timing and frequency as a strategy to engage users in preventive digital mental health.

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Community health programs in low-resource settings (like rural Kenya) aim to provide essential health services to vulnerable populations. However, to date, there has been limited research that explores the design of mechanisms that enable care recipients to provide feedback regarding their satisfaction with the services they receive. Such feedback has the potential to increase the motivation of community health workers (CHWs), enhance training procedures, detect fraudulent behavior, and inform key performance indicators for health programs. Our paper explores the design and deployment of a USSD-based system that allows anyone who possesses a basic mobile phone to provide feedback regarding the health services and quality of care they received from a CHW or during a hospital visit. Our system was designed through iterative fieldwork in rural Kenya that engaged with multiple stakeholder groups, including care recipients, CHWs, and high-level decision makers. After designing and testing the system, we deployed it for seven weeks in Siaya, Kenya, collecting both quantitative system usage data and qualitative data from six focus groups with 42 participants. Findings from our deployment show that 168 care recipients engaged with the system, submitting 495 reports via USSD. We discuss the broader factors impacting deployment, including the feasibility of USSD, actionability of feedback, scalability, and sustainability. Taken together, our findings suggest that USSD is a promising approach for enabling care recipients to submit feedback in a way that balances privacy, equity, and sustainability.