scholarly journals Prolonged Mechanical Ventilation At Home Versus Long Term Care: Caregiver Characteristics And Strain

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 803-804
Author(s):  
Esther-Lee Marcus ◽  
Jeremy Jacobs ◽  
Jochanan Stessman

Abstract Although the number of Prolonged Mechanical Ventilation (PMV) patients and their informal caregivers (CGs) is rising both at Home or Long Term Care (LTC), little is known concerning CG characteristics or strain. We enrolled 120 patients and 106 informal CGs: 34/46 and 72CGs/74 PMV patients from Home Hospital and LTC respectively. CGs were married (82%), female (60.4%), mean age 59 ±14 years; spouses (29%) or children (40%) of the PMV patient. The 13-item Modified Caregiver Strain Index (MCSI) (Maximum severity=26) was 13.6± 6.5, similar at Home vs. LTC (14.3±7.5 vs. 13.3±6.0, p=0.9). Most frequent complaints were distress concerning patient’s changes (93%) or upsetting behaviours (82%), feeling overwhelmed (82%), sleep disturbance (69%) and emotional adjustments (67%). Home CGs reported significantly more physical and financial burden, confinement, and need for work adjustment, while LTC CGs reported greater emotional disturbance and upsetting patient behaviours. Hierarchical clustering identified three clusters of CG strain: burden (physical/time/financial), emotional (upsetting adjustment/ behaviours/overwhelmed) and disturbance (work/plans/confinement). Emotional strain was most frequent, irrespective of site of care; however CGs at Home vs. LTC experienced significantly higher burden and disturbance vs. higher emotional strain respectively. In multivariate models, after adjusting for numerous patient and CG variables, increasing CG strain was consistently associated with rising patient symptomatology. This relationship was pronounced among CGs of Home PMV patients, with a significant interaction variable of Home*Patient symptomatology. Our findings identify specific patterns of strain among caregivers of PMV patients whether at home or LTC, and highlight the importance of addressing their unique needs.

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S447-S447
Author(s):  
Jeremy M Jacobs ◽  
Esther-Lee Marcus ◽  
Jochanan Stessman

Abstract Rising numbers of patients receiving Prolonged Mechanical Ventilation (PMV) pose a challenge, and advancing technology supports ventilators appropriate for either Home or Hospital Long Term Care (HLTC).Data guiding decisions concerning place of care are lacking. This study describes the characteristics of the majority (120/123) of all PMV patients aged ≥18 (and their caregivers) in Jerusalem, covered by the Clalit Health Service, treated either with Home Hospital or HLTC. Patients were more alert and communicative at Home vs. HLTC (40/46 vs. 22/74), younger (54 vs.73 years, p12 years (36% vs.21%, p=0.1), and without legal guardian (59% vs. 12%, p<0.01). Primary reason for PMV at home was degenerative neuromuscular disease (59% vs. 28%), compared to post resuscitation/sepsis/CVA in HLTC patients (17% vs. 62%), who suffered more comorbidity, functional decline post-PMV, and pressure sores (0% vs. 42%). Ventilation was more likely to be planned at home vs HLTC (33% vs. 8%), and yet 119/120 were without Advanced Directives prior to PMV. Caregivers at home tended to be spouses (48% vs. 31%) and offspring at HLTC (17% vs. 47%), with reduced Modified Caregiver Strain Index at home (10.5 vs. 12.9, p=0.12). Mortality during follow-up was lower at home (15.2% vs. 27%). Costs to the health fund for home versus HLTC were approximately 1:3. Our findings suggest that with appropriate targeting of eligible PMV patients, Home Hospital may be the preferred model of care for patients, caregivers and healthcare providers.


CHEST Journal ◽  
2007 ◽  
Vol 131 (1) ◽  
pp. 76-84 ◽  
Author(s):  
David J. Scheinhorn ◽  
Meg Stearn Hassenpflug ◽  
John J. Votto ◽  
David C. Chao ◽  
Scott K. Epstein ◽  
...  

CHEST Journal ◽  
2007 ◽  
Vol 131 (1) ◽  
pp. 85-93 ◽  
Author(s):  
David J. Scheinhorn ◽  
Meg Stearn Hassenpflug ◽  
John J. Votto ◽  
David C. Chao ◽  
Scott K. Epstein ◽  
...  

1999 ◽  
Vol 7 (6) ◽  
pp. 434-444 ◽  
Author(s):  
◽  
John Bond ◽  
Graham Farrow ◽  
Barbara A. Gregson ◽  
Claire Bamford ◽  
...  

Author(s):  
Muhammad Syakir Asrulsani ◽  
Mazlynda Md Yusuf

Funding for long-term care costs among elderly people is a critical matter, especially due to high costs and an unexpected length of time. Placement for long-term care that is funded under Jabatan Kebajikan Masyarakat (JKM) is very limited, hence, the next option is through private nursing homes. However, the cost could be up to RM 2,000 a month for each person. Therefore, Long- Term Care Insurance is an alternative to fund for Long-Term Care costs as it is expected to reduce financial burden during old age. It is a risk protection mechanism for an insured that needs health and financial protection when an individual is unable to do activities of daily living (ADL) or supports in instrumental activities of daily living (IADL). This paper reviews three models that have been used in pricing long-term care insurance. All three models use the equivalent principle of premium to price the insurance policy. However, the probability and assumptions used for each model differ, depending on the insured's needs and profile.


Author(s):  
Doron D. Goldman ◽  
Regina Khurin ◽  
Debora W. Tingley ◽  
Darlene Yee-Melichar

2019 ◽  
Vol 11 (13) ◽  
pp. 3530 ◽  
Author(s):  
Xiaocang Xu ◽  
Linhong Chen

The aging population in China highlights the significance of elderly long-term care (LTC) services. The number of people aged 65 and above increased from 96 million in 2003 to 150 million in 2016, some of whom were disabled due to chronic diseases or the natural effects of aging on bodily functions. Therefore, the measurement of future LTC costs is of crucial value. Following the basic framework but using different empirical methods from those presented in previous literature, this paper attempts to use the Bayesian quantile regression (BQR) method, which has many advantages over traditional linear regression. Another innovation consists of setting and measuring the high, middle, and low levels of LTC cost prediction for each disability state among the elderly in 2020–2050. Our projections suggest that by 2020, LTC costs will increase to median values of 39.46, 8.98, and 20.25 billion dollars for mild, moderate, and severe disabilities, respectively; these numbers will reach 141.7, 32.28, and 72.78 billion dollars by 2050. The median level of daily life care for mild, moderate, and severe disabilities will increase to 26.23, 6.36, and 27 billion dollars. Our results showed that future LTC cost increases will be enormous, and therefore, the establishment of a reasonable individual-social-government payment mechanism is necessary for the LTC system. The future design of an LTCI system must take into account a variety of factors, including the future elderly population, different care conditions, the financial burden of the government, etc., in order to maintain the sustainable development of the LTC system.


Sign in / Sign up

Export Citation Format

Share Document