scholarly journals I’m the Only Son She Got Left: Male Caregivers’ Experiences Managing Older Adults’ Post-Acute Care

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 91-92
Author(s):  
Michael Bueno ◽  
David Russell ◽  
Jo-Ana Chase
Keyword(s):  
Older Adults ◽  
Acute Care ◽  
Home Health Care ◽  
Secondary Analysis ◽  
Future Research ◽  
Subjective Experiences ◽  
Acute Setting ◽  
Male Caregivers ◽  
Using Data ◽  
Post Acute Care

Abstract Family caregivers (FCGs) play an integral role supporting older adults transitioning to post-acute care following a hospitalization. FCGs function as advocates, information agents, and most importantly, care managers and providers. Although, caregiving has been traditionally seen as a female role, men are increasingly undertaking these roles and responsibilities. This research addresses a gap in the existing literature by exploring the subjective experiences of male FCGs of older adults in the post-acute setting. Using data from two parent qualitative studies on caregiving in the post-acute setting (N=40), we conducted a qualitative secondary analysis using conventional content analysis of male caregiver participants’ interview data (n=11). Interviews explored the subjective experiences of male caregivers’ interactions with home health care supportive personnel and conducting medical/nursing tasks for older adults. Five themes emerged: areas of abandonment, financial needs, masculinity, organization of care, and preparation. These themes highlighted areas of both confidence and struggle for male FCGs and captured their unique experiences managing the care of an older adult in the post-acute setting. Furthermore, the themes illustrate male FCGs’ feelings of guilt, financial impact, work disruptions, and the perceived effect of masculinity on their caregiving role. Findings can inform clinicians’ provision of focused and tailored resources to meet the specific needs of male FCGs. Future research should explore the evolving experiences of male FCGs over time, particularly those FCGs of older adults with chronic illnesses.

scholarly journals Preparing for the Future of Post–Acute Care: A Metasynthesis of Qualitative Studies

2016 ◽  
Vol 29 (2) ◽  
pp. 70-80
Author(s):  
Allison M. Gustavson ◽  
Jacqueline Jones ◽  
Kelly J. Morrow ◽  
Jennifer E. Stevens-Lapsley
Keyword(s):  
Older Adults ◽  
Quality Of Care ◽  
Acute Care ◽  
Professional Education ◽  
Practice Patterns ◽  
Clinical Care ◽  
Future Research ◽  
Care Providers ◽  
Post Acute Care

Despite poor outcomes for older adults following hospitalization, practice patterns of post–acute care clinicians and factors impacting quality of care are not well studied, which limits advancements in clinical care. Qualitative research on the factors that influence physician practice patterns with respect to older adults has been studied and may provide a framework for hypothesizing factors relevant to other post–acute care clinicians. Three themes emerged from this qualitative metasynthesis: (1) Current medical education and clinical guidelines are not aligned with the multifaceted care needed for older adults, (2) communication gaps impact quality of care, and (3) health policies constrain quality of care. Identifying potential factors that impact practice patterns in post-acute care providers may guide future research initiatives that shape health professional education and system policies.

scholarly journals Coprescribing of Benzodiazepines and Opioids in Older Adults: Rates, Correlates, and National Trends

2018 ◽  
Vol 74 (12) ◽  
pp. 1910-1915 ◽  
Author(s):  
Taeho Greg Rhee
Keyword(s):  
Older Adults ◽  
Future Research ◽  
Physician Visits ◽  
Prescribing Trends ◽  
Clinical Diagnoses ◽  
Nationally Representative ◽  
Using Data ◽  
National Trends ◽  
Ambulatory Medical Care ◽  
Over Time

Abstract Background To estimate prescribing trends of and correlates independently associated with coprescribing of benzodiazepines and opioids among adults aged 65 years or older in office-based outpatient visits. Methods I examined a nationally representative sample of office-based physician visits by older adults between 2006 and 2015 (n = 109,149 unweighted) using data from the National Ambulatory Medical Care Surveys (NAMCS). National rates and prescribing trends were estimated. Then, I used multivariable logistic regression analyses to identify demographic and clinical factors associated with coprescriptions of benzodiazepines and opioids. Results From 2006 to 2015, 15,954 (14.6%) out of 109,149 visits, representative of 39.3 million visits nationally, listed benzodiazepine, opioid, or both medications prescribed. The rate of prescription benzodiazepines only increased monotonically from 4.8% in 2006–2007 to 6.2% in 2014–2015 (p < .001), and the rate of prescription opioids only increased monotonically from 5.9% in 2006–2007 to 10.0% in 2014–2015 (p < .001). The coprescribing rate of benzodiazepines and opioids increased over time from 1.1% in 2006–2007 to 2.7% in 2014–2015 (p < .001). Correlates independently associated with a higher likelihood of both benzodiazepine and opioid prescriptions included: female sex, a visit for chronic care, receipt of six or more concomitantly prescribed medications, and clinical diagnoses of anxiety and pain (p < .01 for all). Conclusion The coprescribing rate of benzodiazepines and opioids increased monotonically over time in outpatient care settings. Because couse of benzodiazepines and opioids is associated with medication burdens and potential harms, future research is needed to address medication safety in these vulnerable populations.

scholarly journals 0854 Exploration Of Sleep Health Among Middle-aged And Older Adults

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A325-A325
Author(s):  
R A Lorenz ◽  
S L Auerbach ◽  
C Li ◽  
Y Chang
Keyword(s):  
Older Adults ◽  
Research Question ◽  
Secondary Data ◽  
Factor Loading ◽  
Dimensional Structure ◽  
Future Research ◽  
Composite Measure ◽  
Middle Aged ◽  
Sleep Health ◽  
Using Data

Abstract Introduction Sleep health, a construct introduced to characterize the multidimensional attributes of sleep, has been explored in a variety of populations; however has not been adequately examined for middle-aged and older adults. As attributes of sleep may change with age, the dimensional structure of sleep health may differ in this population. This study aimed to validate a composite measure of sleep health among middle-aged and older adults using data from the Health and Retirement Survey (HRS). Methods Data from the 2014 Core survey of the HRS was used to create a composite measure of Sleep Health including sleep efficiency, duration, timing, satisfaction, and alertness. We standardized and averaged the original variables before transforming to T scores. Sleep Health T scores (ranging 0-100, higher scores indicating better sleep health) were examined using exploratory and confirmatory factor analysis (EFA; CFA). Results Our sample included 6,095 adults with mean age of 68 years (SD=10.1; range 50-99 years). The majority were female (59.7%), white (77%), with high school education (53.9%). Sleep Health T scores ranged from 27-61 (mean=50; SD=6.7). EFA identified one factor. Timing was removed due to low factor loading (&lt;0.4). The revised four-dimension composite Sleep Health measure had acceptable reliability (Cronbach’s alpha 0.6). CFA showed a well-adjusted model (REMSA=0.097; NFI=0.964; RMR=0.035; GFI=0.990; AGFI=0.951). Conclusion These results suggest that the composite measure was valid for assessing sleep health among middle-aged and older adults. Limitations include the use of secondary data, as sleep health dimensions were based on variables not created specifically for our research question. Future research should further examine the role of sleep timing in overall sleep health among middle-aged and older adults. Support This study was supported by the University at Buffalo Clinical and Translational Science Institute (CTSI) funded by the National Institutes of Health (Lorenz, PI).

Post‐Acute Care among Older Adults with Stage I to III Colorectal Cancer

2018 ◽  
Vol 67 (5) ◽  
pp. 937-944 ◽  
Author(s):  
Kelly M. Kenzik ◽  
Grant R. Williams ◽  
Smita Bhatia ◽  
Courtney J. Balentine
Keyword(s):  
Colorectal Cancer ◽  
Older Adults ◽  
Acute Care ◽  
Stage I ◽  
Post Acute Care

Comparison of the Responsiveness of the FIM and the interRAI Post Acute Care Assessment Instrument in Rehabilitation of Older Adults

2010 ◽  
Vol 91 (7) ◽  
pp. 1038-1043 ◽  
Author(s):  
Christine Glenny ◽  
Paul Stolee ◽  
Janice Husted ◽  
Mary Thompson ◽  
Katherine Berg
Keyword(s):  
Older Adults ◽  
Acute Care ◽  
Assessment Instrument ◽  
Care Assessment ◽  
Post Acute Care

Direct and indirect influences of socio-economic position on the wellbeing of older adults: a Structural Equation Model using data from the first wave of the Irish Longitudinal Study on Ageing

2016 ◽  
Vol 37 (9) ◽  
pp. 1770-1797 ◽  
Author(s):  
JONATHAN PRATSCHKE ◽  
TRUTZ HAASE ◽  
KIERAN McKEOWN
Keyword(s):  
Older Adults ◽  
Longitudinal Study ◽  
Structural Equation ◽  
Social Inequalities ◽  
Likelihood Estimation ◽  
Future Research ◽  
Emotional Wellbeing ◽  
Economic Position ◽  
Using Data ◽  
The Impact

ABSTRACTThe authors use Structural Equation Modelling techniques to analyse the determinants of wellbeing amongst older adults using data from the first wave of the Irish Longitudinal Study on Ageing (TILDA), a rich source of data on people aged over 50 and living in private households. The analysis uses a two-group linear statistical model to explore the influence of socio-economic position on the wellbeing of men and women, with Full Information Maximum Likelihood estimation to handle missing data. The fit indices for the final model are highly satisfactory and the measurement structure is invariant by gender and age. The results indicate that socio-economic position has a significant direct influence on wellbeing and a strong indirect influence which is mediated by health status and lifestyle. The total standardised effect of Socio-economic Position on Socio-emotional Wellbeing is statistically significant (p⩽ 0.05) and equal to 0.32 (men) and 0.43 (women), a very strong influence which risks being underestimated in standard multivariate models. The authors conclude that health, cognitive functioning and wellbeing reflect not just the ageing process, but also the impact of social inequalities across the lifecourse and how they are transmitted across different life spheres. These results can help to orient future research on factors which mediate between socio-economic position and wellbeing, an important policy-related issue.

scholarly journals PREPARATION FOR FUTURE IN OLD AGE: WHY AND WHY NOT?

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S749-S749
Author(s):  
Helene H Fung
Keyword(s):  
Older Adults ◽  
Hong Kong ◽  
Old Age ◽  
Population Aging ◽  
Well Being ◽  
Future Research ◽  
Age Related ◽  
The Usa ◽  
Older Chinese ◽  
Using Data

Abstract With population aging, many people can expect to spend 30 or more years in old age. The five papers included in this symposium aim at shedding light on whether and how to make plans for old age, using data from the “Aging as Future” Project. First, Park and Hess used data spanning across adulthood from Germany, Hong Kong and the USA to examine how changes experienced in domains of functioning and the importance attached to these domains influenced preparations for old age. Next, de Paula Couto and Rothermund, examining Germans aged 40-90 years, pointed out that prescriptive age stereotypes might be the main drive for why people make preparations for age-related changes. The remaining three papers use qualitative data to qualify the above quantitative findings. Adamson and Ekerdt interviewed older Midwest US residents. They observed that SES greatly impacted how older adults perceived and made plans for their future. The final two papers examined how rural vs. urban contexts might affect preparations for future. Liou interviewed older adults in rural Tainan and found that their ideal old age was one about no future preparation, at least not about making plans for themselves (called “tranquil life”). Ho and colleagues, in contrast, found that for older Chinese residing in urban Hong Kong, not preparing for the future (called “time freeze”) was negatively related to physical and psychological well-being. The symposium will end with an overall discussion on future research directions on whether and how to make plans for old age.

Determinants of Post-acute Care Costs in Acutely Hospitalized Older Adults: The Hospital-ADL Study

2019 ◽  
Vol 20 (10) ◽  
pp. 1300-1306.e1
Author(s):  
Marthe E. Ribbink ◽  
Rosanne van Seben ◽  
Lucienne A. Reichardt ◽  
Jesse J. Aarden ◽  
Marike van der Schaaf ◽  
...  
Keyword(s):  
Older Adults ◽  
Acute Care ◽  
Hospitalized Older Adults ◽  
Care Costs ◽  
Post Acute Care

scholarly journals Identifying Factors Associated With Mobility Decline Among Hospitalized Older Adults

2016 ◽  
Vol 27 (1) ◽  
pp. 81-104 ◽  
Author(s):  
Jo-Ana D. Chase ◽  
Alicia Lozano ◽  
Alexandra Hanlon ◽  
Kathryn H. Bowles
Keyword(s):  
Older Adults ◽  
Secondary Analysis ◽  
Length Of Hospital Stay ◽  
International Classification Of Functioning ◽  
Future Research ◽  
Personal Factors ◽  
Mobility Function ◽  
Younger Age ◽  
Hospitalized Older Adults

Hospitalization can negatively affect mobility among older adults. Early detection of older patients most at risk for mobility decline can lead to early intervention and prevention of mobility loss. This study’s purpose was to identify factors from the International Classification of Functioning, Disability, and Health associated with mobility decline among hospitalized elders. We conducted a secondary analysis of data from 959 hospitalized adults age 65 and older. We estimated the effects of health conditions and environmental and personal factors on mobility decline using logistic regression. Almost half of the sample declined in mobility function during hospitalization. Younger age, longer length of hospital stay, having a hearing impairment, and non-emergency admit type were associated with mobility decline, after adjusting for covariates. Findings may be used to develop an evidence-based, risk-determination tool for hospitalized elders. Future research should focus on individual, environmental, and policy-based interventions promoting physical activity in the hospital.

Sign in / Sign up

Export Citation Format

Share Document