Cost-effectiveness of a Digital Health Intervention for Acute Myocardial Infarction Recovery.

BACKGROUND: Acute myocardial infarction (AMI) is a common cause of hospital admissions, readmissions, and mortality worldwide. Digital health interventions (DHIs) that promote self-management, adherence to guideline-directed therapy, and cardiovascular risk reduction may improve health outcomes in this population. The "Corrie" DHI consists of a smartphone application, smartwatch, and wireless blood pressure monitor to support medication tracking, education, vital signs monitoring, and care coordination. We aimed to assess the cost-effectiveness of this DHI plus standard of care in reducing 30-day readmissions among AMI patients in comparison to standard of care alone. METHODS: A Markov model was used to explore cost-effectiveness from the hospital perspective. The time horizon of the analysis was 1 year, with 30-day cycles, using inflation-adjusted cost data with no discount rate. Currencies were quantified in US dollars, and effectiveness was measured in quality-adjusted life-years (QALYs). The results were interpreted as an incremental cost-effectiveness ratio at a threshold of $100,000 per QALY. Univariate sensitivity and multivariate probabilistic sensitivity analyses tested model uncertainty. RESULTS: The DHI reduced costs and increased QALYs on average, dominating standard of care in 99.7% of simulations in the probabilistic analysis. Based on the assumption that the DHI costs $2750 per patient, use of the DHI leads to a cost-savings of $7274 per patient compared with standard of care alone. CONCLUSIONS: Our results demonstrate that this DHI is cost-saving through the reduction of risk for all-cause readmission following AMI. DHIs that promote improved adherence with guideline-based health care can reduce hospital readmissions and associated costs.

Efficacy of Mobile Health for Self-management of Cardiometabolic Risk Factors: A Theory-Guided Systematic Review.

BACKGROUND: Although mobile health (mHealth) technologies are burgeoning in the research arena, there is a lack of mHealth interventions focused on improving self-management of individuals with cardiometabolic risk factors (CMRFs). OBJECTIVE: The purpose of this article was to critically and systematically review the efficacy of mHealth interventions for self-management of CMRF while evaluating quality, limitations, and issues with disparities using the technology acceptance model as a guiding framework. METHODS: PubMed, CINAHL, EMBASE, and Lilacs were searched to identify research articles published between January 2008 and November 2018. Articles were included if they were published in English, included adults, were conducted in the United States, and used mHealth to promote self-care or self-management of CMRFs. A total of 28 articles were included in this review. RESULTS: Studies incorporating mHealth have been linked to positive outcomes in self-management of diabetes, physical activity, diet, and weight loss. Most mHealth interventions included modalities such as text messaging, mobile applications, and wearable technologies. There was a lack of studies that are (1) in resource-poor settings, (2) theoretically driven, (3) community-engaged research, (4) measuring digital/health literacy, (5) measuring and evaluating engagement, (6) measuring outcomes related to disease self-management, and (7) focused on vulnerable populations, especially immigrants. CONCLUSION: There is still a lack of mHealth interventions created specifically for immigrant populations, especially within the Latino community-the largest growing minority group in the United States. In an effort to meet this challenge, more culturally tailored mHealth interventions are needed.

Social determinants of health and vaccine uptake in pregnancy: Disparities in a diverse, predominately foreign-born population.

OBJECTIVE: To identify discrepancies in influenza, Tdap, and COVID-19 vaccine uptake and offer rates among pregnant individuals across various social determinants of health including race, ethnicity, foreign-born status, education level, and health insurance coverage, highlighting potential interventions to improve vaccine uptake in pregnancy. METHODS: An IRB-approved cross-sectional survey was conducted on the postpartum floor of a large urban hospital in South Florida. Between July to September 2021, 359 participants consented and answered questions on their demographics, social background, and influenza, Tdap, and COVID-19 vaccine history. RESULTS: Most participants identified as White (67.7 %), Hispanic (67.4 %), and foreign-born (68.5 %) with an average age of 29.7 ± 6 years. There was a significant difference in mean vaccine between White (1.3) and Black individuals (0.9, p = 0.002). Mean uptake was significantly higher in foreign-born individuals (1.3) compared to US-born (0.9, p < 0.001). Mean uptake was significantly higher for those with graduate (1.7) and college (1.4) degrees compared to those with a high school degree (1.0) or less than high school (1.0, p < 0.0001). CONCLUSION: Significant differences in the uptake and offer rates of influenza, Tdap, and COVID-19 vaccines were observed across a variety of social determinants including educational attainment, employment, insurance, and median income of the zip code of primary residence.

Vaccination in pregnancy: Healthcare provider attitudes and practices.

OBJECTIVE: To assess provider attitudes and practices regarding vaccination in pregnancy to discern strategies to increase vaccination rates in pregnancy, given that in the USA, various healthcare organizations recommend that pregnant individuals be vaccinated against influenza, pertussis, and SARS-CoV-2, but vaccination rates among gravidas remain suboptimal across these vaccines. METHODS: An Institutional Review Board-approved survey was disseminated to obstetric healthcare providers by email from June through October 2021. Questions assessed provider demographics, attitudes, and practices surrounding vaccination in pregnancy. A total of 192 providers consented, 179 initiated the survey, and 153 completed it entirely. Statistical software (SAS) was used to perform descriptive statistics. RESULTS: All providers strongly agreed/agreed that all pregnant individuals should receive vaccines in pregnancy. Following patient vaccination consent, 13% reported needing to refer patients to alternative sites for vaccine administration. Following patient vaccination decline, 13% did not determine reasons for refusal, 30% did not re-counsel at subsequent visits, and 92% did not ask another staff member to counsel the patient. CONCLUSION: Despite provider support for maternal immunization, uptake of vaccines in gravidas remains suboptimal, demonstrating a gap between provider recommendations and patient uptake. These data highlight opportunities for intervention regarding counseling and vaccine availability to increase vaccine uptake in pregnancy.

Gynecologic oncology fellowship leadership trends by gender.

Our objective was to examine the educational, research, and leadership trends among gynecologic oncology (GYO) fellowship program directors (PD) and how these vary by gender. PDs were identified using the Society of Gynecologic Oncology Fellowship Directory. Surveys were sent to PDs' emails to obtain information about demographics, education, and research background. Publicly available data and institutional biographies were used to supplement primary survey data for incomplete responses or survey non-responders. Scopus was used to determine the h-index and number of publications and citations for each PD. Parametric data were compared using unpaired two-tailed t-tests. Chi-square and Fisher's exact tests were performed for categorical data. The significance level was p < 0.05. Approximately one-half of PDs were female (50.8%). Female PDs had a younger mean age than male PDs (46.4 years vs 51.9 years, p = 0.0014). The average overall h-index was 22 (SD = 14.5) and the average number of publications was 71.2 (SD = 63.3). The average h-index was higher in male PDs than females (27.8 vs 16.3, p = 0.0012), as were the number of publications (97.3 vs 45.8, p = 0.0008). Differences exist among GYO PDs by gender. While research productivity may be reflective of age, gender-based equity in research time should be further explored.

Correction: Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study.

[This corrects the article DOI: 10.2196/16391.].

Digital Health Intervention in Acute Myocardial Infarction.

BACKGROUND: Thirty-day readmissions among patients with acute myocardial infarction (AMI) contribute to the US health care burden of preventable complications and costs. Digital health interventions (DHIs) may improve patient health care self-management and outcomes. We aimed to determine if patients with AMI using a DHI have lower 30-day unplanned all-cause readmissions than a historical control. METHODS: This nonrandomized controlled trial with a historical control, conducted at 4 US hospitals from 2015 to 2019, included 1064 patients with AMI (DHI n=200, control n=864). The DHI integrated a smartphone application, smartwatch, and blood pressure monitor to support guideline-directed care during hospitalization and through 30-days post-discharge via (1) medication reminders, (2) vital sign and activity tracking, (3) education, and (4) outpatient care coordination. The Patient Activation Measure assessed patient knowledge, skills, and confidence for health care self-management. All-cause 30-day readmissions were measured through administrative databases. Propensity score-adjusted Cox proportional hazard models estimated hazard ratios of readmission for the DHI group relative to the control group. RESULTS: Following propensity score adjustment, baseline characteristics were well-balanced between the DHI versus control patients (standardized differences <0.07), including a mean age of 59.3 versus 60.1 years, 30% versus 29% Women, 70% versus 70% White, 54% versus 54% with private insurance, 61% versus 60% patients with a non ST-elevation myocardial infarction, and 15% versus 15% with high comorbidity burden. DHI patients were predominantly in the highest levels of patient activation for health care self-management (mean score 71.7±16.6 at 30 days). The DHI group had fewer all-cause 30-day readmissions than the control group (6.5% versus 16.8%, respectively). Adjusting for hospital site and a propensity score inclusive of age, sex, race, AMI type, comorbidities, and 6 additional confounding factors, the DHI group had a 52% lower risk for all-cause 30-day readmissions (hazard ratio, 0.48 [95% CI, 0.26-0.88]). Similar results were obtained in a sensitivity analysis employing propensity matching. CONCLUSIONS: Our results suggest that in patients with AMI, the DHI may be associated with high patient activation for health care self-management and lower risk of all-cause unplanned 30-day readmissions. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03760796.

Strategies for the Successful Implementation of a Novel iPhone Loaner System (iShare) in mHealth Interventions: Prospective Study.

BACKGROUND: As smartphone ownership continues to rise, health care systems and technology companies are driven to develop mobile health (mHealth) interventions as both diagnostic and therapeutic tools. An important consideration during mHealth intervention development is how to achieve health equity despite demographic differences in smartphone ownership. One solution is through the recirculation of loaner smartphones; however, best practices for implementing such programs to optimize security, privacy, scalability, and convenience for participants are not well defined. OBJECTIVE: In this tutorial, we describe how we implemented our novel Corrie iShare program, a 30-day loaner iPhone and smartwatch recirculation program, as part of a multi-center mHealth intervention to improve recovery and access to guideline-directed therapy following acute myocardial infarction. METHODS: We conducted a prospective study utilizing a smartphone app and leveraged iOS enterprise features as well as cellular data service to automate recirculation. RESULTS: Our configuration protocol was shortened from 1 hour to 10 minutes. Of 200 participants, 92 (46.0%) did not own an iPhone and would have been excluded from the study without iShare. Among iShare participants, 72% (66/92) returned their loaned smartphones. CONCLUSIONS: The Corrie iShare program demonstrates the potential for a sustainable and scalable mHealth loaner program, enabling broader population reach while optimizing user experience. Implementation may face institutional constraints and software limitations. Consideration should be given to optimizing loaner returns.

Corrie Health Digital Platform for Self-Management in Secondary Prevention After Acute Myocardial Infarction.

BACKGROUND: Unplanned readmissions after hospitalization for acute myocardial infarction are among the leading causes of preventable morbidity, mortality, and healthcare costs. Digital health interventions could be an effective tool in promoting self-management, adherence to guideline-directed therapy, and cardiovascular risk reduction. A digital health intervention developed at Johns Hopkins-the Corrie Health Digital Platform (Corrie)-includes the first cardiology Apple CareKit smartphone application, which is paired with an Apple Watch and iHealth Bluetooth-enabled blood pressure cuff. Corrie targets: (1) self-management of cardiac medications, (2) self-tracking of vital signs, (3) education about cardiovascular disease through articles and animated videos, and (4) care coordination that includes outpatient follow-up appointments. METHODS AND RESULTS: The 3 phases of the MiCORE study (Myocardial infarction, Combined-device, Recovery Enhancement) include (1) the development of Corrie, (2) a pilot study to assess the usability and feasibility of Corrie, and (3) a prospective research study to primarily compare time to first readmission within 30 days postdischarge among patients with Corrie to patients in the historical standard of care comparison group. In Phase 2, the feasibility of deploying Corrie in an acute care setting was established among a sample of 60 patients with acute myocardial infarction. Phase 3 is ongoing and patients from 4 hospitals are being enrolled as early as possible during their hospital stay if they are 18 years or older, admitted with acute myocardial infarction (ST-segment-elevation myocardial infarction or type I non-ST-segment-elevation myocardial infarction), and own a smartphone. Patients are either being enrolled with their own personal devices or they are provided an iPhone and/or Apple Watch for the duration of the study. Phase 3 started in October 2017 and we aim to recruit 140 participants. CONCLUSIONS: This article will provide an in-depth understanding of the feasibility associated with implementing a digital health intervention in an acute care setting and the potential of Corrie as a self-management tool for acute myocardial infarction recovery.