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Background Increasing hospice need, a growing shortage of hospice providers, and concerns about in-person services because of coronavirus disease 2019 (COVID-19) require hospices to innovate care delivery. Measures This project compared outcomes between hospice reauthorization visits conducted via telehealth and in person. After each visit, providers, patients, and caregivers completed telehealth acceptance surveys, and providers recorded reauthorization recommendations. Intervention Providers conducted 88 concurrent in-person and telehealth visits between June and November 2019. Outcomes No statistically significant differences in reauthorization recommendations were found between telehealth and in-person visits. Satisfaction with telehealth was high; 88% of patients/caregivers and 78% of providers found telehealth services as effective as in-person visits. Conclusions/Lessons Learned Results indicate that telehealth can successfully support clinical decision making for hospice reauthorization. These findings show telehealth to be reliable and acceptable for certain types of hospice care even before COVID-19, which emphasizes its importance both during and after the current public health emergency.

Patient experience is increasingly recognized as a measure of health care quality and patient-centered care and is currently measured through the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS). The HCAHPS survey may miss key factors important to patients, and in particular, to underserved patient populations. We performed a qualitative study utilizing semi-structured interviews with 45 hospitalized English- and Spanish-speaking patients and 6 focus groups with physicians, nurses, and administrators at a large, urban safety-net hospital. Four main themes were important to patients: (1) the hospital environment including cleanliness and how hospital policies and procedures impact patients’ perceived autonomy, (2) whole-person care, (3) communication with and between care teams and utilizing words that patients can understand, and (4) responsiveness and attentiveness to needs. We found that several key themes that were important to patients are not fully addressed in the HCAHPS survey and there is a disconnect between what patients and care teams believe patients want and what hospital policies drive in the care environment.

Digital health remains a growing and challenging niche in public health practice. Academic-industry collaboration (AIC) offers a mechanism to bring disparate sectors together to alleviate digital health challenges of engagement, reach, sustainability, dissemination, evaluation, and equity. Despite the ongoing endorsements for AIC in digital health, limited understanding exists of successful AIC exists. Most published research highlights the barriers of collaboration rather than efficacy, leaving collaborators asking: What are the benefits and facilitators of AIC and do they apply in digital health? As an initial effort to fill the gap in the literature, the purpose of this mini review outlines the benefits and facilitators from previous AIC and offers recommendations specific to digital health.

Background Typical solutions for improving discharge planning often rely on one-way communication mechanisms, static data entry into the electronic health record (EHR), or in-person meetings. Lack of timely and effective communication can adversely affect patients and their care teams. Objective Applying robust user-centered design strategies, we aimed to design an innovative EHR-based discharge readiness communication tool (the Discharge Today tool) to enable care teams to communicate any barriers to discharge, the status of patient discharge readiness, and patient discharge needs in real time across hospital settings. Methods We employed multiple user-centered design strategies, including exploration of the current state for documenting discharge readiness and directing discharge planning, iterative low-fidelity prototypes, multidisciplinary stakeholder meetings, a brainwriting premortem exercise, and preproduction user testing. We iteratively collected feedback from users via meetings and surveys. Results We conducted 28 meetings with 20 different stakeholder groups. From these stakeholder meetings, we developed 14 low-fidelity prototypes prior to deploying the Discharge Today tool for our pilot study. During the pilot study, stakeholders requested 46 modifications, of which 25 (54%) were successfully executed. We found that most providers who responded to the survey reported that the tool either saved time or did not change the amount of time required to complete their discharge workflow (21/24, 88%). Responses to open-ended questions offered both positive feedback and opportunities for improvement in the domains of efficiency, integration into workflow, avoidance of redundancies, expedited communication, and patient-centeredness. Conclusions Survey data suggest that this electronic discharge readiness tool has been successfully adopted by providers and clinical staff. Frequent stakeholder engagement and iterative user-centered design were critical to the successful implementation of this tool.

Objective Mobile health (mHealth) tools are increasingly used to support medication adherence yet few have been designed specifically for the pediatric population. This paper describes the development of a medication adherence application ( MedVenture) using the integration of patient and healthcare provider input, health behavior theory, and user engagement strategies for adolescents with chronic gastrointestinal disease. Methods MedVenture was created by a multidisciplinary research team consisting of a gastroenterologist, a social health psychologist, software developers, and digital health researchers. Healthcare providers and adolescent patients were interviewed to identify barriers to medication adherence, explore ways that technologies could best support medication adherence for both patients and providers, and determine user requirements and core design features for a digital health tool. Intervention mapping was used to match themes from qualitative content analysis to known efficacious adherence strategies, according to a conceptual framework based on self-determination theory. Iterative design with review by the research team and two rounds of user testing informed the final prototype. Results Three themes were identified from content analysis: 1) lack of routine contributes to nonadherence, 2) adolescents sometimes purposefully forgo medications, and 3) healthcare providers would prefer a tool that promotes patient self-management rather than one that involves patient-provider interaction. These findings, combined with evidence-based adherence and user engagement strategies, resulted in the development of MedVenture – a game-based application to improve planning and habit formation. Conclusions Academic-industry collaboration incorporating stakeholders can facilitate the development of mobile health tools designed specifically for adolescents with chronic disease.

One crucial factor that leads to disparities in smoking cessation between groups with higher and lower socioeconomic status is more prevalent socioenvironmental smoking cues in low-income communities. Little is known about how these cues influence socioeconomically disadvantaged smokers in real-world scenarios and how to design interventions, especially mobile phone–based interventions, to counteract the impacts of various types of smoking cues. We interviewed 15 current smokers living in low-income communities and scanned their neighborhoods to explore smoking-related experiences and identify multilevel cues that may trigger them to smoke. Findings suggest four major types of smoking cues influence low-income smokers—internal, habitual, social, and environmental. We propose an ecological model of smoking cues to inform the design of mobile health (mHealth) interventions for smoking cessation. We suggest that user-triggered strategies will be most useful to address internal cues; server-triggered strategies will be most suitable in changing perceived social norms of smoking and routine smoking activities to address social and habitual cues; and context-triggered strategies will be most effective for counteracting environmental cues. The pros and cons of each approach are discussed regarding their cost-effectiveness, the potential to provide personalized assistance, and scale.

The N-of-1 approach has been applied by patients and providers in the management of a number of recurrent medical conditions, such as recurrent low back pain, migraine headaches, and depression. The basis of this approach is that through careful assessment of environmental exposures and/or medications, often in a trial-and-error methodology, factors can be identified that are positively or negatively associated with recurrence. When combined with technology advances in the form of mHealth applications, this approach holds great promise to improve the efficiency of treatment, and to provide the opportunity for patients to become active participants in their own care. However, much work is needed to understand which types of conditions lend themselves to such an approach, based on patterns of recurrence and association with exposures. In this study, we examined the statistical properties of an mHealth application called the iMTracker, designed for self-management of chronic recurrent medical conditions. We examined the impact of duration of data collection, patterns of recurrence of the primary outcome, and strength of association of a possible associated risk factor (trigger or suppressor), and impact of an intervention on the power of our approach to identify a significant association for possible modification. Using simulation studies of varying effect sizes and durations of data collection, we found that ~90 days of data collection was sufficient to identify associated risk factors with odds ratio (OR > 5.0) at power of 80%, with an absolute event rate of 50% being optimal. We then examined power calculations based on Fishers exact test for proportions to examine the power of this approach to assess the impact of an intervention on the proportion of days with the recurrent outcome, and found that 90 days was also sufficient to detect a decrease of 20% in the rate of the primary outcome, but that shorter data periods could be used to identify stronger effect sizes, down to 15 days with a 90% reduction in rate. We also examined use of an analysis based on Bayesian statistics, which showed general agreement with the frequentist approach, and we created a web-based tool to allow users to perform their own power calculations prior to using the app. Although work remains to be done to explore the effect of autocorrelation and seasonality and trends in data, this study demonstrates that the N-of-1 approach employed in the iMTracker app for self-management of recurrent medical conditions is statistically feasible, given the right conditions.

Management of chronic recurrent medical conditions (CRMC), such as migraine headaches, chronic pain and anxiety/depression, is a major challenge for modern providers. The fact that often the most effective treatments and/or preventative measures for CRMCs vary from patient to patient lends itself to a platform for self-management by patients. However, to develop such an mHealth app requires an understanding of the various applications, and barriers, to real-world use. In this pilot study with internet-based recruitment, we conducted an assessment of user satisfaction of the iMTracker iOS (iPhone) application for CRMC self-management through a self-administered survey of subjects with CRMCs. From May 15, 2019 until March 27, 2020, we recruited 135 subjects to pilot test the iMTracker application for user-selected CRMCs. The most common age group was 31–45 (48.2%), followed by under 30 (22.2%) and 46–55 (20%). There were no subjects over 75 years old completing the survey. 38.8% of subjects were college graduates, followed by 29.6% with a Master’s degree, and 25.9% with some college. No subjects had not graduated from high school, and only 2 (1.5%) did not attend college after high school. 80.7% of subjects were self-identified as Caucasian, and 90.4% as not Hispanic or Latino. The most common CRMC was pain (other than headaches) in 40% of subjects, followed by mental health in 17.8% and headaches in 15.6%. 39.3% of subjects experienced the condition multiple times in a day, 40.0% experienced the condition daily, and 14.8% experienced the condition weekly, resulting in a total of 94.1% of subjects experiencing the condition at least weekly. Among the concerns about a self-management app, time demands (54.8%) and ineffectiveness (43.7%) were the most prominent, with privacy (24.4%) and data security (25.2%) also noted. In summary, we found internet-based recruitment identified primarily Caucasian population of relatively young patients with CRMCs of relatively high recurrence rate. Future work is needed to examine the use of this application in older, underrepresented minorities, and lower socioeconomic status populations.

Objective This qualitative study explored parent and patient navigator perspectives of home visitation as part of a childhood obesity program in a low-income, largely Latino population. Methods Three patient navigators and 25 parents who participated in a home-based, childhood obesity program participated in focus groups or interviews. Emergent themes were identified through content analysis of qualitative data. Results Three overall themes were identified. Patient navigators and parents perceived: (1) enabling characteristics of home-based program delivery which facilitated family participation and/or behavior change (i.e., convenience, increased accountability, inclusion of household members, delivery in a familiar, intimate setting, and individualized pace and content); (2) logistic and cultural challenges to home-based delivery which reduced family participation and program reach (i.e., difficulties scheduling visits, discomfort with visitors in the home, and confusion about the patient navigator's role); and (3) remediable home-based delivery challenges which could be ameliorated by additional study staff (e.g., supervision of children, safety concerns) or through organized group sessions. Both patient navigators and participating parents discussed an interest in group classes with separate, supervised child-targeted programming and opportunities to engage with other families for social support. Conclusions for Practice A home visitation program delivering a pediatric obesity prevention curriculum in Denver was convenient and held families accountable, but posed scheduling difficulties and raised safety concerns. Conducting home visits in pairs, adding obesity prevention curriculum to existing home visiting programs, or pairing the convenience of home visits with group classes may be future strategies to explore.

Objective To summarize research relating to health services research translation in the safety net through analysis of the literature and case study of a safety net system. Data Sources/Study Setting Literature review and key informant interviews at an integrated safety net hospital. Study Design This paper describes the results of a comprehensive literature review of translational science literature as applied to health care paired with qualitative analysis of five key informant interviews conducted with senior-level management at Denver Health and Hospital Authority. Principal Findings Results from the literature suggest that implementing innovation may be more difficult in the safety net due to multiple factors, including financial and organizational constraints. Results from key informant interviews confirmed the reality of financial barriers to innovation implementation but also implied that factors, including institutional respect for data, organizational attitudes, and leadership support, could compensate for disadvantages. Conclusions Translating research into practice is of critical importance to safety net providers, which are under increased pressure to improve patient care and satisfaction. Results suggest that translational research done in the safety net can better illuminate the special challenges of this setting; more such research is needed.

Background Mobile health (mHealth) provides a unique modality for improving access to and awareness of palliative care among patients, families, and caregivers from diverse backgrounds. Some mHealth palliative care apps exist, both commercially available and established by academic researchers. However, the elements of family support and family caregiving tools offered by these early apps is unknown. Objective The objective of this scoping review was to use social convoy theory to describe the inclusion and functionality of family, social relationships, and caregivers in palliative care mobile apps. Methods Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review guidelines, a systematic search of palliative care mHealth included (1) research-based mobile apps identified from academic searches published between January 1, 2010, and March 31, 2019 and (2) commercially available apps for app stores in April 2019. Two reviewers independently assessed abstracts, app titles, and descriptions against the inclusion and exclusion criteria. Abstracted data covered app name, research team or developer, palliative care element, target audience, and features for family support and caregiving functionality as defined by social convoy theory. Results Overall, 10 articles describing 9 individual research-based apps and 22 commercially available apps were identified. Commercially available apps were most commonly designed for both patients and social convoys, whereas the majority of research apps were designed for patient use only. Conclusions Results suggest there is an emerging presence of apps for patients and social convoys receiving palliative care; however, there are many needs for developers and researchers to address in the future. Although palliative care mHealth is a growing field, additional research is needed for apps that embrace a team approach to information sharing, target family- and caregiver-specific issues, promote access to palliative care, and are comprehensive of palliative needs.

Background.Antibiograms have effectively improved antibiotic prescribing in acute-care settings; however, their effectiveness in skilled nursing facilities (SNFs) is currently unknown.Objective.To develop SNF-specific antibiograms and identify opportunities to improve antibiotic prescribing.Design and Setting.Cross-sectional and pretest-posttest study among residents of 3 Maryland SNFs.Methods.Antibiograms were created using clinical culture data from a 6-month period in each SNF. We also used admission clinical culture data from the acute care facility primarily associated with each SNF for transferred residents. We manually collected all data from medical charts, and antibiograms were created using WHONET software. We then used a pretest-posttest study to evaluate the effectiveness of an antibiogram on changing antibiotic prescribing practices in a single SNF. Appropriate empirical antibiotic therapy was defined as an empirical antibiotic choice that sufficiently covered the infecting organism, considering antibiotic susceptibilities.Results.We reviewed 839 patient charts from SNF and acute care facilities. During the initial assessment period, 85% of initial antibiotic use in the SNFs was empirical, and thus only 15% of initial antibiotics were based on culture results. Fluoroquinolones were the most frequently used empirical antibiotics, accounting for 54.5% of initial prescribing instances. Among patients with available culture data, only 35% of empirical antibiotic prescribing was determined to be appropriate. In the single SNF in which we evaluated antibiogram effectiveness, prevalence of appropriate antibiotic prescribing increased from 32% to 45% after antibiogram implementation; however, this was not statistically significant (P = .32).Conclusions.Implementation of antibiograms may be effective in improving empirical antibiotic prescribing in SNFs.

We thank Afarideh et al. (1) for their thoughtful discussion of our study of text message support for weight loss in patients with prediabetes (2). We agree that the differential impact by language of the text message intervention was striking and merits further exploration. In a separate article, we will analyze in detail our end-study focus groups and survey data as well as comorbidities and characteristics across our cohorts to further evaluate our study findings, including the greater weight loss observed among participants in the Spanish group. Afarideh et al. question whether some of the differences between the English- and Spanish-speaking groups in baseline demographics (more women in Spanish intervention group), clinical metrics (mean HbA1c of 6.0% vs. 5.8% and …