scholarly journals Reorganizing Medicare for Older Adults with Chronic Illness

2006 ◽  
Vol 19 (3) ◽  
pp. 303-309 ◽  
Author(s):  
T. P. Daaleman
Keyword(s):  
2021 ◽  
pp. 135910532110023
Author(s):  
Heather Herriot ◽  
Carsten Wrosch

This study examined whether self-compassion could benefit daily physical symptoms and chronic illness in early and advanced old age. The hypotheses were evaluated in a 4-year longitudinal study of 264 older adults. Results showed that self-compassion predicted lower levels of daily physical symptoms across the study period in advanced, but not early, old age ( T-ratio = −1.93, p = 0.05). In addition, self-compassion was associated with fewer increases in chronic illness in advanced, but not early, old age ( T-ratio = − 2.45, p < 0.02). The results of this study suggest that self-compassion may be particularly adaptive towards the end of life.


2021 ◽  
pp. 002203452110190
Author(s):  
C.D. Meyerhoefer ◽  
J.V. Pepper ◽  
R.J. Manski ◽  
J.F. Moeller

Past research suggests there are systematic associations between oral health and chronic illness among older adults. Although causality has not yet been credibly established, periodontitis has been found to be associated with higher risk of both heart disease and stroke. We advance this literature by estimating the direct association between dental care use and systemic health using multiple waves of the 1992 to 2016 Health and Retirement Study. Through the inclusion of individual fixed effects in our regression models, we account for unobservable time-invariant characteristics of individuals that might otherwise bias estimates of the association between dental care use and health. We find statistically significant negative associations between dental care use and the number of health conditions, self-reported overall health, the incidence of heart disease, and the incidence of stroke. In particular, the use of dental care within the past 2 y is associated with a 2.7% reduction in the likelihood of being diagnosed with a heart condition and a reduction in the likelihood of a stroke diagnosis of between 5.3% and 11.6%. We also find large positive correlations between edentulism and the measures of chronic illness. Associations from models estimated separately for men and women are qualitatively similar to one another. These findings provide additional motivation for the consideration of a Medicare dental benefit.


2021 ◽  
Author(s):  
Kelsey Ufholz ◽  
Amy Sheon ◽  
Daksh Bhargava ◽  
Goutham Rao

BACKGROUND Since the COVID-19 pandemic, telemedicine appointments have replaced many in-person healthcare visits [1 2]. However, older people are less likely to participate in telemedicine, preferring either in-person care or foregoing care altogether [3-6]. With a high prevalence of chronic conditions and vulnerability to COVID-19 morbidity and mortality through exposure to others in health care environments, (1-4), promoting telemedicine use should be a high priority for seniors. Seniors face significant barriers to participation in telemedicine, including lower internet and device access and skills, and visual, auditory, and tactile difficulties with telemedicine. OBJECTIVE Hoping to offer training to increase telemedicine use, we undertook a quality improvement survey to identify barriers to, and facilitators of telemedicine among seniors presenting to an outpatient family medicine teaching clinic which serves predominantly African American, economically disadvantaged adults with chronic illness in Cleveland, Ohio. METHODS Our survey, designated by the IRB as quality improvement, was designed based on a review of the literature, and input from our primary care providers and a digital equity expert (Figure 1). To minimize patient burden, the survey was limited to 10 questions. Because we were interested in technology barriers, data were collected on paper rather than a tablet or computer, with a research assistant available to read the survey questions. Patients presenting with needs that could be accomplished remotely were approached by a research assistant to complete the survey starting February 2021 until we reached the pre-determined sample size (N=30) in June 2021. Patients with known dementia, those who normally resident in a long-term care facility, and those presenting with an acute condition (e.g. fall or COPD exacerbation) were ineligible. Because of the small number of respondents, only univariate and bivariate tabulations were performed, in Excel. RESULTS 83% of respondents said they had devices that could be used for a telemedicine visit and that they went on the internet, but just 23% had had telemedicine visits. Few patients had advanced devices (iPhones, desktops, laptops or tablets); 46% had only a single device that was not IOS based mobile (Table 1). All participants with devices said they used them for “messaging on the internet,” but this was the only function used by 40%. No one used the internet for banking, shopping, and few used internet functions commonly needed for telemedicine (23.3% had email; 30% did video calling) (Table 1). 23.3% of respondents had had a telemedicine appointment. Many reported a loss of connection to their doctor as a concern. Participants who owned a computer or iPhone used their devices for a broader range of tasks, (Table 2 and 3), were aged 65-70 (Table 4), and were more likely to have had a telemedicine visit and to have more favorable views of telemedicine (Table 2). Respondents who had not had a telemedicine appointment endorsed a greater number of telemedicine disadvantages and endorsed less interest in future appointments (Table 2). Respondents who did not own an internet-capable device did not report using any internet functions and none had had a telemedicine appointment (Table 2). CONCLUSIONS This small survey revealed significant gaps in telemedicine readiness among seniors who said they had devices that could be used for telemedicine and that they went online themselves. No patients used key internet functions needed for staying safe during COVID, and few used internet applications that required skills needed for telemedicine. Few patients had devices that are optimal for seniors using telemedicine. Patients with more advanced devices used more internet functions and had more telemedicine experience and more favorable attitudes than others. Our results confirm previous studies [7-9] showing generally lower technological proficiency among older adults and some concerns about participating in telemedicine. However, our study is novel in pointing to subtle dimensions of telemedicine readiness that warrant further study—device capacity and use of internet in ways that build skills needed for telemedicine such as email and video calling. Before training seniors to use telemedicine, it’s important to ensure that they have the devices, basic digital skills and connectivity needed for telemedicine. Larger studies are needed to confirm our results and apply multivariate analysis to understand the relationships among age, device quality, internet skills and telemedicine attitudes. Development of validated scales of telemedicine readiness and telemedicine training to complement in-person care can help health systems offer precision-matched interventions to address barriers, facilitate increased adoption, and generally improve patients’ overall access to primary care and engagement with their primary care provider.


2007 ◽  
Vol 29 (5) ◽  
pp. 375-409 ◽  
Author(s):  
Mary P. Gallant ◽  
Glenna D. Spitze ◽  
Thomas R. Prohaska

2020 ◽  
Author(s):  
Rai-Fu Chen ◽  
Kuei-Chen Cheng ◽  
Yu-Yin Lin ◽  
I-Chiu Chang ◽  
Cheng-Han Tsai

BACKGROUND Unscheduled emergency department return visits (EDRVs) are key indicators for monitoring the quality of emergency medical care. A high return rate implies that the medical services provided by the emergency department (ED) failed to achieve the expected results of accurate diagnosis and effective treatment. Older adults are more susceptible to diseases and comorbidities than younger adults, and they exhibit unique and complex clinical characteristics that increase the difficulty of clinical diagnosis and treatment. Older adults also use more emergency medical resources than people in other age groups. Many studies have reviewed the causes of EDRVs among general ED patients; however, few have focused on older adults, although this is the age group with the highest rate of EDRVs. OBJECTIVE This aim of this study is to establish a model for predicting unscheduled EDRVs within a 72-hour period among patients aged 65 years and older. In addition, we aim to investigate the effects of the influencing factors on their unscheduled EDRVs. METHODS We used stratified and randomized data from Taiwan’s National Health Insurance Research Database and applied data mining techniques to construct a prediction model consisting of patient, disease, hospital, and physician characteristics. Records of ED visits by patients aged 65 years and older from 1996 to 2010 in the National Health Insurance Research Database were selected, and the final sample size was 49,252 records. RESULTS The decision tree of the prediction model achieved an acceptable overall accuracy of 76.80%. Economic status, chronic illness, and length of stay in the ED were the top three variables influencing unscheduled EDRVs. Those who stayed in the ED overnight or longer on their first visit were less likely to return. This study confirms the results of prior studies, which found that economically underprivileged older adults with chronic illness and comorbidities were more likely to return to the ED. CONCLUSIONS Medical institutions can use our prediction model as a reference to improve medical management and clinical services by understanding the reasons for 72-hour unscheduled EDRVs in older adult patients. A possible solution is to create mechanisms that incorporate our prediction model and develop a support system with customized medical education for older patients and their family members before discharge. Meanwhile, a reasonably longer length of stay in the ED may help evaluate treatments and guide prognosis for older adult patients, and it may further reduce the rate of their unscheduled EDRVs.


2020 ◽  
Author(s):  
Donna Carden ◽  
Jessica Schumacher ◽  
Babette Brumback ◽  
Phyllis Hendry ◽  
Allyson Hall ◽  
...  

2020 ◽  
Vol 54 (3) ◽  
pp. 164-172
Author(s):  
Joel Faronbi ◽  
Aishat Ajadi ◽  
Robbert Gobbens

Background: The increase in life expectancy has brought about a higher prevalence of chronic illnesses among older people.Objectives: To identify common chronic illnesses among older adults, to examine the influence of such conditions on their Health-Related Quality of Life (HRQoL), and to determine factors predicting their HRQoL.Method: A population-based cross-sectional study was conducted involving 377 individuals aged 60 years and above who were selected using multi-stage sampling techniques in Olorunda Local Government, Osun State, Nigeria. Data were collected using an interviewer-administered questionnaire comprising socio-demographic characteristics, chronic illnesses, and the World Health Organization quality of life instrument (WHOQOL-BREF) containing physical health, psychological, social relationships, and environmental domains.Results: About half (51.5%) of the respondents reported at least one chronic illness which has lasted for 1–5 years (43.3%). The prevalence of hypertension was 36.1%, diabetes 13.9% and arthritis 13.4%. Respondents with chronic illness had significantly lower HRQoL overall and in the physical health, social relationships and the environmental domains (all p<0.05) compared to those without a chronic illness. Factors that predicted HRQoL include age, marital status, level of education, the presence of chronic illness and prognosis of the condition.Conclusion: This study concluded that chronic illness is prevalent in Nigerian older people and significantly influence their HRQoL. Age, marital status, and level of education were associated with HRQoL in this group.Keywords: Chronic illness, Health-Related Quality of Life, Older adults, Socio-demographic factorsFunding: Postdoctoral fellowship from Consortium for Advanced Research Training in Afric


1999 ◽  
Vol 24 (4) ◽  
pp. 181-190 ◽  
Author(s):  
Bruce Rybarczyk ◽  
Gail DeMarco ◽  
Marco DeLaCruz ◽  
Stan Lapidos
Keyword(s):  

2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 1209-1209
Author(s):  
R. Tadesse ◽  
A. Kuglin Jones ◽  
S. Rosenkranz ◽  
K. Cloyes

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