scholarly journals Patterns and predictors of smartphone ownership in a cardiology inpatient population

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
P Indraratna ◽  
J Magdy ◽  
J Li ◽  
J McVeigh ◽  
N Briggs ◽  
...  
Keyword(s):  
Health Insurance ◽  
Mobile Phone ◽  
Private Health Insurance ◽  
Multinomial Logistic Regression ◽  
Primary Diagnosis ◽  
Categorical Variables ◽  
Socioeconomic Background ◽  
Coronary Syndrome ◽  
Significant Difference ◽  
Inpatient Population

Abstract Introduction Mobile health (mHealth) interventions have grown in popularity, particularly for chronic disease management. Uptake of these interventions depends on patient smartphone ownership. Purpose To examine the smartphone ownership rate among cardiac inpatients and identify the associated demographic factors. Methods Between February 2019 and March 2020, 565 patients were screened for potential enrolment in the TeleClinical Care (TCC) pilot study at two hospitals in Australia. All patients had an admission diagnosis of acute coronary syndrome or heart failure. Mobile phone ownership was documented at the time of screening. Retrospectively, each patient's electronic medical record was examined for: age, sex, primary diagnosis, suburb of residence, private health insurance subscription, smoking status and occupation. Continuous variables were analysed using a multinomial logistic regression model. Categorical variables were analysed using a generalised linear model. Results Mobile phone ownership was documented for 523 patients (92.6%). 60.6% of all patients owned smartphones, and 14.9% owned basic mobile phones. 24.5% of patients did not own any mobile phone. The average age of participants was 70.8 years. Smartphone ownership rates were high among patients in the 18–49 (96%), 50–59 (89%) and 60–69 (85%) year groups. The differences between these groups were not statistically significant. In the age group 70–79 years, however, smartphone ownership fell to 56.5% (p<0.001, figure 1). The relative risk (RR) of not owning a smartphone increased by 12% for each additional year of age. Overall, smartphone ownership was less more common in women than men [79/179 (44.1%) vs. 238/344 (69.2%), RR 0.78, 95% CI 0.67–0.91, P=0.003, age-adjusted) driven by a difference in patients aged 70 or above [36/131 (27.5%) vs. 82/168 (48.9%), RR 0.66, 95% 0.49–0.90, p<0.001]. After adjustment for age and sex, patients with a primary diagnosis of ACS were more likely to own a smartphone compared to those with HF [227/316 (71.8%) vs. 90/207 (43.5%), RR 1.22, 95% CI 1.04–1.43, P=0.015]. Patients with private health insurance were more likely to own a smartphone than those who were uninsured [68.9% (162/235) v 54.0% (154/285), RR 1.28, 95% CI 1.13–1.43, P<0.001, figure 2). Smartphone ownership was significantly higher in those who were currently working, compared to those who were retired (117/119, 98.3% vs. 56/87, 64.3%, RR 0.76, 95% CI 0.64 – 0.89, P=0.001), even after adjustment for age. Patients living in the region with lowest average household income had the lowest rate of smartphone ownership (52.4%). There was no significant difference in smartphone ownership based on type of occupation. Conclusion Smartphone ownership was common in this inpatient population. Patients who are older, female and of lower socioeconomic background are less likely to own smartphones, and future mHealth programs should be cognizant of this. FUNDunding Acknowledgement Type of funding sources: Public hospital(s). Main funding source(s): Prince of Wales Hospital, Department of Cardiology Figure 1. Smartphone ownership by age Figure 2. Insurance status

The ABCB1, CYP2C19, CYP3A5 and CYP4F2 genetic polymorphisms and platelet reactivity in the early phases of acute coronary syndromes

2018 ◽  
Vol 33 (3) ◽  
pp. 109-118 ◽  
Author(s):  
Karin B. Mirzaev ◽  
Eric Rytkin ◽  
Kristina A. Ryzhikova ◽  
Elena A. Grishina ◽  
Zhannet A. Sozaeva ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Antiplatelet Therapy ◽  
Early Phase ◽  
Platelet Reactivity ◽  
Coronary Intervention ◽  
Platelet Inhibition ◽  
Categorical Variables ◽  
P Value ◽  
Coronary Syndrome ◽  
Significant Difference

Abstract Background The aim was to study seven polymorphic markers of genes encoding proteins involved in the absorption, metabolism and pharmacokinetics of clopidogrel among patients with an acute coronary syndrome (ACS), who have undergone percutaneous coronary intervention (PCI). Methods Eighty-one ACS and PCI patients older than 18 years and treated with dual antiplatelet therapy were enrolled in the study. Platelet function testing and ABCB1, CYP2C19, CYP3A5 and CYP4F2 genotyping were performed. The predictive role of categorical variables, such as genotypes (carriers and non-carriers of polymorphism), on platelet reactivity (platelet reactivity units [PRU] platelet inhibition [PI]) was assessed by logistic regression (for categorical outcomes) and linear regression (for continuous outcomes) analysis. A p-value<0.05 was considered significant. The allele frequencies were estimated by gene counting, and Hardy-Weinberg equilibrium was tested using the chi-square test. Results Regarding clopidogrel response, 62 patients (76.5%) were clopidogrel responders and 19 were non-responders (23.5%). Mean PRU value and the percentage of platelet inhibition were 170.0±50.9 PRU and 28.6±19.9%, respectively. The effects of the CYP2C19*2 polymorphisms on PRU (166.0±50.8 vs. 190.7±48.2, p<0.038) and PI (30.6±20.0 vs. 18.1±16.3, p<0.013) were observed, and the rates of high platelet reactivity (HPR) were lower in CYP2C19*1/*1 than those in CYP2C19*1/*2+CYP2C19*2/*2 (16.2% vs. 53.8% p<0.0067). In comparison, no significant difference in PRU value and PI was observed at <5 days between the rest of polymorphisms (p>0.05). Based on the logistic regression analysis, CYP2C19*2 (OR: 4.365, CI: 1.25–17.67, p=0.022) was an independent predictor of HPR at <5 days, as was the stent diameter (OR: 0.219, CI: 0.002–0.229, p=0.049). The remaining polymorphisms had no influence. Conclusions The reactivity of the on-clopidogrel platelet in the early phase of ACS is influenced primarily by the CYP2C19 polymorphisms. We believe that the findings of the present study could supply additional evidence regarding the clinical appropriateness of the CYP2C19 genetic testing for designing suitable antiplatelet therapy in the early phase of ACS.

scholarly journals Health Insurance and Youths’ Unmet Health Care Needs

2020 ◽  
Vol 19 (1) ◽  
pp. 106-120 ◽  
Author(s):  
Sarah J. Faubert ◽  
Bridget E. Weller ◽  
Anna K. Ault
Keyword(s):  
Health Care ◽  
Health Insurance ◽  
Private Health Insurance ◽  
Health Care Needs ◽  
Probit Regression ◽  
Care Needs ◽  
Cross Sectional Survey ◽  
Insurance Type ◽  
Significant Difference ◽  
Unmet Health Care Needs

This study examined the relationship between youth health insurance status, insurance type (public versus private), and youths’ unmet health care needs. A secondary analysis was conducted using data from the 2016 National Survey of Children’s Health, a nationally representative, cross-sectional survey of U.S. youth. The sample included data from caregivers of 40,723 Hispanic, non-Hispanic black, and non-Hispanic white youth (0-17 years old) and was 49% female. Mplus 8.2 was used and statistical models accounted for the complex survey design. Using unweighted and weighted descriptive statistics and weighted probit regression models, we found that youth without health insurance were significantly more likely to have unmet health care needs compared to those with either public or private health insurance. We further found no statistically significant difference in unmet needs between youth with public and private health insurance. Our findings suggest that increased access to health insurance coverage, regardless of insurance type, may be an important policy focus when addressing youths’ unmet health care needs. Our findings can be used to guide future social work advocacy regarding health insurance policy.

scholarly journals The effect of patient education based on health belief model on hospital readmission preventive behaviors and readmission rate in patients with a primary diagnosis of acute coronary syndrome: a quasi-experimental study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hossein Habibzadeh ◽  
Aynaz Bagherzadi ◽  
Alireza Didarloo ◽  
Hamidreza Khalkhali
Keyword(s):  
Acute Coronary Syndrome ◽  
Health Belief Model ◽  
Readmission Rate ◽  
Health Belief ◽  
Primary Diagnosis ◽  
Preventive Behaviors ◽  
Coronary Syndrome ◽  
Significant Difference ◽  
Belief Model ◽  
The Health Belief Model

Abstract Background The health belief model is one of the applicable methods of training health preventive behaviors, especially in patients with cardiovascular diseases. Therefore, this study aimed to determine the effect of patient education based on the health belief model on readmission preventive behaviors and readmission rate in patients with a primary diagnosis of acute coronary syndrome. Methods The present quasi-experimental study was conducted in 2020 on patients with a primary diagnosis of acute coronary syndrome who were discharging from Seyed Al-Shohada Hospital, Urmia, Iran. In this study, a total of 70 samples were recruited using convenience sampling and then randomly assigned to two groups of intervention and control (n = 35 in each group). A total of 7 face-to-face group training sessions were held with the participation of the patients and one of their family members during 14 days after hospital discharge. These sessions were conducted along with concentration on the structures of the health belief model. Data were collected at three time points of immediately before, one month, and three months after the intervention using a demographic questionnaire, a researcher-made questionnaire of readmission preventive behaviors in cardiovascular diseases, and a checklist of hospital readmission. Data were analyzed using SPSS Statistics for Windows, version 17.0 (SPSS Inc., Chicago, Ill., USA). Results The results showed that there was a statistically significant difference in the mean score of preventive behaviors between the two groups at time points of one month and three months after the intervention (p < .05). However, there was no statistically significant difference in the readmission rate between the two groups after the intervention (p > .05). Conclusion Health belief model-based education was shown to be effective on readmission preventive behaviors in patients with acute coronary syndrome, although this model had no effect on the readmission rate in these patients. Other factors affecting the readmission rate are recommended to be investigated.

scholarly journals Obesity paradox in HFrEF hospitalizations: analysis of national inpatient sample 2016-2018

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
H Thyagaturu ◽  
K Shah ◽  
S Li ◽  
S Thangjui ◽  
B Shrestha ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Systolic Heart Failure ◽  
Obesity Paradox ◽  
Primary Diagnosis ◽  
Categorical Variables ◽  
Continuous Variables ◽  
National Inpatient Sample ◽  
Chi Square ◽  
Significant Difference ◽  
Student’S T

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Obesity is a common and known risk factor for many cardiovascular diseases. Prior studies on chronic systolic heart failure have demonstrated that obesity is inversely associated with mortality, the so-called obesity paradox. Purpose  To study the phenomenon of obesity paradox in HFrEF hospitalizations Methods We queried January 2016 to December 2018 National Inpatient Sample (NIS) to identify adult (≥18 yrs) hospitalizations with a primary diagnosis of HFrEF. Patients with an associated diagnosis of obesity and higher BMI were also identified based on appropriate ICD-10 CM codes. We used the Chi-square test to evaluate the differences between binary or categorical variables, and Student’s t-test for continuous variables. Multivariate logistic regression was used in outcomes analysis to adjust for potential hospital and patient-level confounders. Results  We identified 639,944 weighted HFrEF hospitalizations across three years. Of which, 130,949 (20.4%) of them were associated with obesity. HFrEF with obesity hospitalizations were associated with younger age (mean age 62.0 vs 70.7 yrs; P &lt; 0.01), lesser CAD (55% vs 61%; P &lt; 0.01), higher rate of comorbidity (% of &gt;3 Elixhauser comorbidity score 99.2% vs 94.1%; P &lt; 0.01) and higher Medicaid primary payer (18.2% vs 12.7%, P &lt; 0.01). After adjusting for patient and hospital-level characteristics, we observe statistically significant difference in odds of in-hospital mortality when HFrEF with obesity hospitalizations was compared to HFrEF without obesity [Odds Ratio (OR): 1.1 (0.8 – 1.5); P = 0.52]. We observed statistically significant association with increased LOS [6.0 vs 5.3 days; P &lt; 0.01], increased total hospitalization charges [US$ 61524 vs 55677; P &lt; 0.01] and decreased coronary catheterizations [OR: 0.7 (0.5 – 0.9); P = 0.01] in HFrEF with obesity group compared to HFrEF without obesity. Conclusion In this retrospective cohort of hospitalized patients with HFrEF, higher BMI and obesity was not associated with in-hospital mortality. However, it was associated with longer LOS and higher total hospitalization charges. HFrEF with obesity hospitalizations are associated with lesser left coronary catheterizations. This may be explained by lesser burden of CAD in this patient population.

scholarly journals 288. Follow-Up Blood Cultures in Gram-Negative Bacteremia: How Do They Impact Outcomes

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S144-S144
Author(s):  
Azza Elamin ◽  
Faisal Khan ◽  
Ali Abunayla ◽  
Rajasekhar Jagarlamudi ◽  
aditee Dash
Keyword(s):  
Clinical Outcomes ◽  
Antibiotic Treatment ◽  
Readmission Rate ◽  
Blood Cultures ◽  
Categorical Variables ◽  
Gram Negative ◽  
Number Of Patients ◽  
Significant Difference ◽  
The Impact

Abstract Background As opposed to Staphylococcus. aureus bacteremia, there are no guidelines to recommend repeating blood cultures in Gram-negative bacilli bacteremia (GNB). Several studies have questioned the utility of follow-up blood cultures (FUBCs) in GNB, but the impact of this practice on clinical outcomes is not fully understood. Our aim was to study the practice of obtaining FUBCs in GNB at our institution and to assess it’s impact on clinical outcomes. Methods We conducted a retrospective, single-center study of adult patients, ≥ 18 years of age admitted with GNB between January 2017 and December 2018. We aimed to compare clinical outcomes in those with and without FUBCs. Data collected included demographics, comorbidities, presumed source of bacteremia and need for intensive care unit (ICU) admission. Presence of fever, hypotension /shock and white blood cell (WBC) count on the day of FUBC was recorded. The primary objective was to compare 30-day mortality between the two groups. Secondary objectives were to compare differences in 30-day readmission rate, hospital length of stay (LOS) and duration of antibiotic treatment. Mean and standard deviation were used for continuous variables, frequency and proportion were used for categorical variables. P-value &lt; 0.05 was defined as statistically significant. Results 482 patients were included, and of these, 321 (67%) had FUBCs. 96% of FUBCs were negative and 2.8% had persistent bacteremia. There was no significant difference in 30-day mortality between those with and without FUBCs (2.9% and 2.7% respectively), or in 30-day readmission rate (21.4% and 23.4% respectively). In patients with FUBCs compared to those without FUBCs, hospital LOS was longer (7 days vs 5 days, P &lt; 0.001), and mean duration of antibiotic treatment was longer (14 days vs 11 days, P &lt; 0.001). A higher number of patients with FUBCs needed ICU care compared to those without FUBCs (41.4% and 25.5% respectively, P &lt; 0.001) Microbiology of index blood culture in those with and without FUBCs Outcomes in those with and without FUBCs FUBCs characteristics Conclusion Obtaining FUBCs in GNB had no impact on 30-day mortality or 30-day readmission rate. It was associated with longer LOS and antibiotic duration. Our findings suggest that FUBCs in GNB are low yield and may not be recommended in all patients. Prospective studies are needed to further examine the utility of this practice in GNB. Disclosures All Authors: No reported disclosures

scholarly journals The effect of obstructive sleep apnoea on timing of acute coronary syndrome

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M.H Muhmad Hamidi ◽  
H Sani ◽  
M.A Ibrahim ◽  
K.S Ibrahim ◽  
A.B Md Radzi ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
High Risk ◽  
Systolic Function ◽  
Strong Association ◽  
Multiple Logistic Regression Analysis ◽  
Sleep Apnoea ◽  
Neck Circumference ◽  
Coronary Syndrome ◽  
Obstructive Sleep ◽  
Significant Difference

Abstract Background and objective Acute coronary syndrome (ACS) remains the principal cause of death in Malaysia. It is estimated about 20% of ACS occurs at nighttime during sleep between 12am to 6am. Factors associated with nocturnal ACS are unknown. Acute nocturnal pathophysiological response to obstructive sleep apnea (OSA) may increase risk of nocturnal ACS. We hypothesized that OSA risk is associated with timing of ACS onset. Methodology This study included 200 patients with ACS who underwent coronary angiogram for which the time of chest pain onset was clearly identified and divided into 2 groups; nocturnal ACS (12am-5.59am) and non-nocturnal ACS (6am–11.59pm). Two validated questionnaires, STOP-BANG and Epworth Sleepiness Scale (ESS) were self-administered by subjects to determine OSA risk. All subjects timing of ACS onset, OSA risk, demography, anthropometric measurements, comorbidities and echocardiographic characteristics were analyzed. Results Acute coronary syndrome occurs nocturnally in 19% of ACS patients. The prevalence of high risk OSA individuals among ACS patients is 43%. There is significantly higher prevalence of high risk OSA individuals in nocturnal ACS group of 95% compared to 30% of high risk OSA individuals in non-nocturnal ACS group (p=0.001). Nocturnal ACS patients was significantly younger (50.1±8.7yrs, p=0.001), had higher BMI (33.9±4.3kg/m2, p=0.005), waist circumference (106.7±10.3cm, p=0.003) and larger neck circumference (44.6±3.3cm, p=0.001) compared to non-nocturnal ACS group. These groups had similar prevalence of other comorbidities for ACS and showed no significant difference between left and right ventricular systolic function. In multiple logistic regression analysis, the most significant predictors for nocturnal ACS are OSA risk, neck circumference and age. Conclusion There is a strong association between high risk OSA individuals and nocturnal ACS onset. Patient with nocturnal ACS onset should be screened for OSA and prioritized for polysomnography. OSA prevalence according to ACS onset Funding Acknowledgement Type of funding source: None

scholarly journals Self-reported morbidities, nutritional characteristics, and associated factors in institutionalized and non-institutionalized older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Abdelhafid Benksim ◽  
Rachid Ait Addi ◽  
Elhassania Khalloufi ◽  
Aziz Habibi ◽  
Mohamed Cherkaoui
Keyword(s):  
Older Adults ◽  
Health Insurance ◽  
Nutritional Status ◽  
Statistical Significance ◽  
Well Being ◽  
Public Institution ◽  
Subjective Well Being ◽  
Number Of Children ◽  
Significant Difference ◽  
Nutritional Characteristics

Abstract Background As the world’s population ages and people live longer, it seems important to ensure that older people have a good quality of life and positive subjective well-being. The objective of this study is to determine socio-economic, health and nutritional characteristics of institutionalized and non-institutionalized elders in the province of Marrakech. Methods This study was conducted among 368 older adults in the province of Marrakech between March 2017 and June 2019. Of all participants, 180 older adults reside in a public institution and 188 of them live in their own homes. Data on health conditions, nutritional status, functional and socio-economic characteristics were collected. Data was analyzed using SPSS Statistics for Windows, Version 16.0. Statistical significance was set at p < 0.05. Results Institutionalized elders were illiterate (80.0%), had low incomes (95.5%), and unmarried (73.3%), they reported also no children (56.1%) and no health insurance (98.9%). Institutional residents suffered from malnutrition (22.2%), hearing impairments (35.6%) and severe edentulism (43.3%). There was no significant difference between both groups on daily activities and depression. A multivariate analysis identified a model with three significant variables associated with non-institutionalized elders: health insurance (P = 0.001; OR = 107.49), number of children (P = 0.001; OR = 1.74) and nutritional status (p = 0.001; OR = 3.853). Conclusions This study shows that the institutionalization of older adults is considerably induced by various factors such as nutritional problems, lack of health insurance and family structure. To mitigate the effects of this phenomenon, home care strategies and preventive actions should be implemented to delay the institutionalization of older adults and therefore keep them socially active in their own homes.

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