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1.
Gastroenterol Nurs ; 44(4): 259-267, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34238884

RESUMEN

Young adults, 18-35 years of age, account for nearly half of all inflammatory bowel disease emergency department visits annually, costing millions of healthcare dollars and signifying undue pain and suffering. To mitigate this sequela, the study aimed to characterize the relationships between transition readiness (self-management ability), stress, and patient-centered outcomes. Outcomes were defined as disease activity and inflammatory bowel disease-related healthcare utilization (emergency department visits and inpatient hospitalization). This was a descriptive, correlational design via online survey of young adults with inflammatory bowel disease. Participants (n = 284) utilized an estimated 2.77 million healthcare dollars in 12 months. Transition readiness decreased the odds of having consistently active disease and healthcare utilization, with adjusted odds ratio ranging from 6.4 to 10.9 (p < .05). Higher stress levels increased the odds of having consistently active disease and healthcare utilization, with adjusted odds ratio ranging from 9.5 to 10.5 (p < .0001). Twenty-five percent (24.7%) of the variation in transition readiness was explained by changes in stress (p < .0001). Transition readiness and stress impacted all patient-centered outcomes. Stress negatively impacted transition readiness. These results are powerful reminders for healthcare providers to assess and treat stress and support transition readiness in young adults with inflammatory bowel disease. The potential to decrease pain, suffering, and healthcare cost is enormous.


Asunto(s)
Enfermedades Inflamatorias del Intestino , Automanejo , Transición a la Atención de Adultos , Humanos , Enfermedades Inflamatorias del Intestino/terapia , Evaluación de Resultado en la Atención de Salud , Atención Dirigida al Paciente , Adulto Joven
2.
ABNF J ; 21(1): 21-6, 2010.
Artículo en Inglés | MEDLINE | ID: mdl-20169809

RESUMEN

OBJECTIVE: To determine the effects of health insurance and race on prescription medication use and expense. METHODS: An observational, non-experimental design was used. Multivariable regression analyses were conducted to evaluate the independent effects of health insurance status and race on prescription medication use and expense while controlling for sociodemographic, geographic, and health status characteristics. The sample consisted of 19,035 participants in the 1996 through 2003 Medical Expenditure Panel Survey. FINDINGS: European Americans spent about $300 to $400 more and used three to four more prescriptions annually compared to other racial groups. Prescription medication expenses increased as time spent uninsured increased. Participants with part-year coverage filled four fewer prescriptions than those with full-year health insurance coverage. Participants with private coverage spent less on prescription medications compared to those with public and those with dual public and private coverage ($1,194 vs. $1,931 and $2,076, respectively; p < or = 0.001). CONCLUSIONS: Significant racial and health insurance status disparities in prescription medication use and expenses exist after controlling for sociodemographic, geographic, and health status characteristics.


Asunto(s)
Negro o Afroamericano/estadística & datos numéricos , Prescripciones de Medicamentos/estadística & datos numéricos , Hispánicos o Latinos/estadística & datos numéricos , Cobertura del Seguro/organización & administración , Seguro de Salud/organización & administración , Población Blanca/estadística & datos numéricos , Adulto , Femenino , Encuestas de Atención de la Salud , Accesibilidad a los Servicios de Salud , Disparidades en el Estado de Salud , Disparidades en Atención de Salud/estadística & datos numéricos , Humanos , Masculino , Pacientes no Asegurados/etnología , Pacientes no Asegurados/estadística & datos numéricos , Persona de Mediana Edad , Análisis Multivariante , Análisis de Regresión , Factores Socioeconómicos , Estados Unidos
3.
J Am Heart Assoc ; 6(8)2017 Aug 04.
Artículo en Inglés | MEDLINE | ID: mdl-28778943

RESUMEN

BACKGROUND: Black persons have an excess burden of cardiovascular disease (CVD) compared with white persons. This burden persists after adjustment for socioeconomic status and other known CVD risk factors. This study evaluated the CVD burden and the socioeconomic gradient of CVD among black participants in the JHS (Jackson Heart Study). METHODS AND RESULTS: CVD burden was evaluated by comparing the observed prevalence of myocardial infarction, stroke, and hypertension in the JHS at baseline (2000-2004) with the expected prevalence according to US national surveys during a similar time period. The socioeconomic gradient of CVD was evaluated using logistic regression models. Compared with the national data, the JHS age- and sex-standardized prevalence ratios for myocardial infarction, stroke, and hypertension were 1.07 (95% CI, 0.90-1.27), 1.46 (95% CI, 1.18-1.78), and 1.51 (95% CI, 1.42-1.60), respectively, in men and 1.50 (95% CI, 1.27-1.76), 1.33 (95% CI, 1.12-1.57), and 1.43 (95% CI, 1.37-1.50), respectively, in women. A significant and inverse relationship was observed between socioeconomic status and CVD within the JHS cohort. The strongest and most consistent socioeconomic correlate after adjusting for age and sex was income for myocardial infarction (odds ratio: 3.53; 95% CI, 2.31-5.40) and stroke (odds ratio: 3.73; 95% CI, 2.32-5.97), comparing the poor and affluent income categories. CONCLUSIONS: Except for myocardial infarction in men, CVD burden in the JHS cohort was higher than expected. A strong inverse socioeconomic gradient of CVD was also observed within the JHS cohort.


Asunto(s)
Negro o Afroamericano , Enfermedades Cardiovasculares/etnología , Disparidades en el Estado de Salud , Factores Socioeconómicos , Adulto , Distribución por Edad , Anciano , Anciano de 80 o más Años , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/economía , Distribución de Chi-Cuadrado , Estudios Transversales , Femenino , Humanos , Hipertensión/diagnóstico , Hipertensión/economía , Hipertensión/etnología , Renta , Modelos Logísticos , Masculino , Persona de Mediana Edad , Mississippi/epidemiología , Infarto del Miocardio/diagnóstico , Infarto del Miocardio/economía , Infarto del Miocardio/etnología , Oportunidad Relativa , Prevalencia , Estudios Prospectivos , Factores de Riesgo , Distribución por Sexo , Accidente Cerebrovascular/diagnóstico , Accidente Cerebrovascular/economía , Accidente Cerebrovascular/etnología , Factores de Tiempo , Adulto Joven
4.
Am J Med Sci ; 331(4): 166-74, 2006 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-16617231

RESUMEN

This paper provides an overview of the evidence on the current epidemic of obesity in the United States. The prevalence of overweight and obesity now exceeds 60% among US adults, and the rate is rapidly increasing among children and adolescents. Dismal medical, social, and economic consequences are already apparent and likely to worsen without multipronged intervention. Increased rates of hypertension, diabetes, and dyslipidemia, among other medical conditions, threaten to shorten the longevity of the American populace by as much as 5 years. The incidence of depression is increasing and experts suggest this is linked with the increased prevalence of obesity. The cost of obesity-related medical care has increased astronomically since 1987, in addition to lost productivity and income. Novel multidisciplinary, preventive, and therapeutic approaches, and social changes are needed that address the complex interplay of biologic, genetic, and social factors that have created the current obesity epidemic.


Asunto(s)
Obesidad/complicaciones , Obesidad/epidemiología , Sobrepeso , Salud Pública , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/etiología , Enfermedades Cardiovasculares/mortalidad , Depresión/epidemiología , Diabetes Mellitus/epidemiología , Diabetes Mellitus/etiología , Diabetes Mellitus/mortalidad , Femenino , Humanos , Hipertensión/epidemiología , Hipertensión/etiología , Hipertensión/mortalidad , Estilo de Vida , Longevidad , Masculino , Obesidad/etiología , Obesidad/terapia , Sobrepeso/etnología , Salud Pública/economía , Factores de Riesgo , Factores Socioeconómicos
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