scholarly journals Sociodemographic Characteristics Predicting Digital Health Intervention Use After Acute Myocardial Infarction

Author(s):  
Lochan M. Shah ◽  
Jie Ding ◽  
Erin M. Spaulding ◽  
William E. Yang ◽  
Matthias A. Lee ◽  
...  
Medical Care ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Vinayak Bhardwaj ◽  
Erin M. Spaulding ◽  
Francoise A. Marvel ◽  
Sarah LaFave ◽  
Jeffrey Yu ◽  
...  

Author(s):  
Francoise A. Marvel ◽  
Erin M. Spaulding ◽  
Matthias A. Lee ◽  
William E. Yang ◽  
Ryan Demo ◽  
...  

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.


BMJ Open ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. e024207 ◽  
Author(s):  
Thora Majlund Kjærulff ◽  
Kristine Bihrmann ◽  
Ingelise Andersen ◽  
Gunnar Hilmar Gislason ◽  
Mogens Lytken Larsen ◽  
...  

ObjectiveThis study examined whether geographical patterns in incident acute myocardial infarction (AMI) were explained by neighbourhood-level and individual-level sociodemographic characteristics.DesignAn open cohort study design of AMI-free adults (age ≥30 years) with a residential location in Denmark in 2005–2014 was used based on nationwide administrative population and health register data linked by the unique personal identification number. Poisson regression of AMI incidence rates (IRs) with a geographical random effect component was performed using a Bayesian approach. The analysis included neighbourhood-level variables on income, ethnic composition, population density and population turnover and accounted for individual-level age, sex, calendar year, cohabitation status, income and education.SettingResidents in Denmark (2005–2014).ParticipantsThe study population included 4 128 079 persons (33 907 796 person-years at risk) out of whom 98 265 experienced an incident AMI.Outcome measureIncident AMI registered in the National Patient Register or the Register of Causes of Death.ResultsIncluding individual and neighbourhood sociodemographic characteristics in the model decreased the variation in IRs of AMI. However, living in certain areas was associated with up to 40% increased IRs of AMI in the adjusted model and accounting for sociodemographic characteristics only moderately changed the geographical disease patterns.ConclusionsDifferences in sociodemographic characteristics of the neighbourhood and individuals explained part, but not all of the geographical inequalities in incident AMI. Prevention strategies should address the confirmed social inequalities in incident AMI, but also target the areas with a heavy disease burden to enable efficient allocation of prevention resources.


2020 ◽  
pp. 105477382093345
Author(s):  
Megumi Maruta ◽  
Shiho Moriyama ◽  
Yukio Mizuguchi ◽  
Sho Hashimoto ◽  
Takeshi Yamada ◽  
...  

In patients with acute myocardial infarction treated with percutaneous coronary intervention (PCI), effective post-hospital care, partially determined by self-care agency, is critical for long-term prognosis. However, the relationship between agency and sociodemographic characteristics requires elucidation. One hundred and six outpatients participated in our study. Self-care agency was assessed with the Self-care Agency Questionnaire (SCAQ). We evaluated its correlation with patients’ sociodemographic characteristics and morale on the Ikigai-9 Questionnaire. Mean SCAQ scores were higher in those who were younger, male, living with someone, and more educated compared to their counterparts. Furthermore, SCAQ scores were correlated with Ikigai-9 scores. Multivariate logistic regression analyses indicated that social participation, employment status, and morale were independent predictors of high SCAQ scores. A comprehensive approach utilizing medical professionals, families, and the local community is needed to promote self-care agency in patients receiving primary PCI.


2020 ◽  
Vol 3 ◽  
pp. 100089
Author(s):  
Rongzi Shan ◽  
Jie Ding ◽  
Daniel Weng ◽  
Erin M. Spaulding ◽  
Shannon Wongvibulsin ◽  
...  

2019 ◽  
Vol 26 (17) ◽  
pp. 1828-1839 ◽  
Author(s):  
Thora Majlund Kjærulff ◽  
Kristine Bihrmann ◽  
Jinfeng Zhao ◽  
Daniel Exeter ◽  
Gunnar Gislason ◽  
...  

Aims This study described the interplay between geographical and social inequalities in survival after incident acute myocardial infarction (AMI) and examined whether geographical variation in survival exists when accounting for sociodemographic characteristics of the patients and their neighbourhood. Methods Ringmap visualization and generalized linear models were performed to study post-AMI mortality. Three individual-level analyses were conducted: immediate case fatality, mortality between days 1 and 28 after admission and 365-day survival among patients who survived 28 days after admission. Results In total, 99,013 incident AMI cases were registered between 2005 and 2014 in Denmark. Survival after AMI tended to correlate with sociodemographic indicators at the municipality level. In individual-level models, geographical inequality in immediate case fatality was observed with high mortality in northern parts of Jutland after accounting for sociodemographic characteristics. In contrast, no geographical variation in survival was observed among patients who survived 28 days. In all three analyses, odds and rates of mortality were higher among patients with low educational level (odds ratio (OR) (95% credible intervals) of 1.20 (1.12–1.29), OR of 1.12 (1.01–1.24) and mortality rate ratio of 1.45 (1.30–1.61)) and low income (OR of 1.24 (1.15–1.33), OR of 1.33 (1.20–1.48) and mortality rate ratio of 1.25 (1.13–1.38)). Conclusion Marked geographical inequality was observed in immediate case fatality. However, no geographically unequal distribution of survival was found among patients who survived 28 days after AMI. Results additionally showed social inequality in survival following AMI.


Author(s):  
Masahiro Ono ◽  
Kaoru Aihara ◽  
Gompachi Yajima

The pathogenesis of the arteriosclerosis in the acute myocardial infarction is the matter of the extensive survey with the transmission electron microscopy in experimental and clinical materials. In the previous communication,the authors have clarified that the two types of the coronary vascular changes could exist. The first category is the case in which we had failed to observe no occlusive changes of the coronary vessels which eventually form the myocardial infarction. The next category is the case in which occlusive -thrombotic changes are observed in which the myocardial infarction will be taken placed as the final event. The authors incline to designate the former category as the non-occlusive-non thrombotic lesions. The most important findings in both cases are the “mechanical destruction of the vascular wall and imbibition of the serous component” which are most frequently observed at the proximal portion of the coronary main trunk.


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