Predictors of long-term care utilization by Dutch hospital patients aged 65+

Long-term care status for the elderly with different levels of physical ability: a cross-sectional survey in first-tier cities of China

BACKGROUND

Long term care (LTC) services for functionally impaired senior citizens are crucial for addressing the challenges of aging. However, research on eligibility criteria and coverage of LTC in China is lacking. Our objective is to assess the current status of LTC and explore eligibility criteria and coverage for the elderly.

METHODS

This is a cross-sectional study conducted in two first-tier cities in China. Residents aged 65 or over were recruited from a nursing home and four primary hospitals. Participants were divided into three groups (bedridden, domestic, and community), then six grades (grade one to six) according to the Longshi Scale, and their functional ability was assessed using the Modified Barthel Index. Information such as diseases, complications, and daily care needs were collected. Nursing staff were invited to indicate patients' needs for care. A one-way ANOVA test, Kruskal Wallis H test and Mann-Whitney U test were used to explore the differences of variables in three Longshi groups or Longshi grades.

RESULTS

Among all 1157 participants, with an average age of 80.54, 69.3% were in the bedridden group. The most common diagnosis was stroke (71.4%), with the most prevalent complication being pulmonary infection (25.2%). In the nursing assessment, basic health care, disease care, activity care, complication prevention care and psychosocial care were summarized as the five main aspects of LTC for the elderly. Feeding, bathing, drinking, bowel management and bladder management were identified as the basic care which fulfills participants' basic physical needs in each Longshi group. Mouth care, artificial airway management, and body reposition, which can prevent immobility complications, were highly demanded by bedridden elderly.

CONCLUSIONS

The elderly in grade one to three are the ones in need of LTC most. The content of LTC for elderly should include basic care which fulfills their basic physical needs and complication care which can prevent immobility complications. The evidence of this research may contribute to the design of LTC in China.

TRIAL REGISTRATION

The study design was registered in the Chinese Clinical Trial Registry (ChiCTR-2000034067, Registered 22 Jun 2020, http://www.chictr.org.cn/showproj.aspx?proj=54770 ).

Home/Community-Based Medical and Elderly Care Services Utilization in China: A Cross-Sectional Study from the Middle-Aged and Elderly Population

Few studies have analyzed the acceptance of home/community-based medical and elderly care services in China. Therefore, we conducted a cross-sectional study to describe the acceptance of five services among people aged ≥ 45 years in the China mainland, and their influencing factors. The data were obtained from the database China Health and Retirement Longitudinal Study 2018. For each service, a binary logistics regression was adopted. A total of 9719 people were included, of whom 20.12% received services. The numbers of recipients (acceptance rates) of the five services, namely, comprehensive aged care services, regular physical examinations, onsite visits, health management, and entertainment, were 107 (1.10%), 1640 (16.87%), 323 (3.32%), 156 (1.61%), and 245 (2.52%), respectively. About 4% of people had received two or more services. The elderly aged 65-74 and those who were satisfied with the local medical services had higher acceptance of services. Urban hukou having health insurance, two or more chronic diseases, provincial economic welfare, and social welfare were positively associated with the acceptance of regular physical examination services. It is suggested that the government should gradually improve satisfaction with local medical services, and pay more attention to the needs of elderly people aged 65-74 for all kinds of home/community-based medical and elderly care services.

Predictors of long-term care use - informal home care recipients versus private and public facilities residents in Poland

BACKGROUND

The population aging, together with the shrinking caring potential of families, is a major challenge for social policy in the coming years. The aim of the study is to identify the factors that determine not only the use of long-term care (LTC) but also the selection of individual types of such care in Poland.

METHODS

Using unique data collected from inpatient LTC facilities in Poland and the Survey on Health, Ageing and Retirement in Europe (SHARE) database, we estimate logistic regressions explaining the choice of LTC solution.

RESULTS

Our results suggest that social inequalities play a role in choosing the type of LTC. Better educated people choose private institutions, while people without support network use more often social residential homes. The impact of multimorbidity on choosing different types of inpatient facilities is limited, thus the number of ADL limitations remains a better indicator of long term care utilization.

CONCLUSIONS

The study confirms that social inequalities influence decisions about the choice of LTC. However, multi-morbidity is a predictor of using LTC to a limited extent. The differences in LTC selection determinants between women and men are noticeable.

Predicting demand for long-term care using Japanese healthcare insurance claims data

BACKGROUND

Driven by the rapid aging of the population, Japan introduced public long-term care insurance to reinforce healthcare services for the elderly in 2000. Precisely predicting future demand for long-term care services helps authorities to plan and manage their healthcare resources and citizens to prevent their health status deterioration.

METHODS

This paper presents our novel study for developing an effective model to predict individual-level future long-term care demand using previous healthcare insurance claims data. We designed two discriminative models and subsequently trained and validated the models using three learning algorithms with medical and long-term care insurance claims and enrollment records, which were provided by 170 regional public insurers in Gifu, Japan.

RESULTS

The prediction model based on multiclass classification and gradient-boosting decision tree achieved practically high accuracy (weighted average of Precision, 0.872; Recall, 0.878; and F-measure, 0.873) for up to 12 months after the previous claims. The top important feature variables were indicators of current health status (e.g., current eligibility levels and age), risk factors to worsen future healthcare status (e.g., dementia), and preventive care services for improving future healthcare status (e.g., training and rehabilitation).

CONCLUSIONS

The intensive validation tests have indicated that the developed prediction method holds high robustness, even though it yields relatively lower accuracy for specific patient groups with health conditions that are hard to distinguish.

The impact of widowhood on wellbeing, health, and care use: A longitudinal analysis across Europe

OBJECTIVE

To estimate whether becoming widowed had a significant effect on individual's health status as well as on healthcare and non-healthcare resources use, compared to people who remained in a couple in Europe.

DATA AND METHOD

It was used the Survey of Health, Aging and Retirement in Europe from 2004 to 2015. The statistical technique used was genetic matching which analysed the differences in wellbeing, mental health, health status, risk of death, health care resources and long-term care utilization of people who have become widowed, comparing with people who remained married or with a partner. We considered shortterm and medium-term effects.

RESULTS

In the short term, those who became widowed had a worse wellbeing and mental health, in addition to a greater probability of receiving formal care and informal care from outside the household. There seems to be a significant effect in the use of formal and informal care from outside the household in the medium term.

CONCLUSIONS

The results might help to concentrate a major effort of any policy or strategy, not only in the field of health but also in the provision of long-term care, immediately after the negative shock occurs.

Emergency hospital admissions among older adults living alone in the community

Background

Among older adults, living alone is often associated with higher risk of Emergency Department (ED) admissions. However, older adults living alone are very heterogeneous in terms of health. As more older adults choose to live independently, it remains unclear if the association between living alone and ED admissions is moderated by health status. We studied the association between living alone and ED admission outcomes (number of admissions, inpatient days and inpatient costs) among older adults with and without multimorbidity.

Methods

We used data from 16,785 individuals of the third follow-up of the Singapore Chinese Health Study, a population-based cohort of older Singapore Chinese (mean age: 73(61-96) years). Participants were interviewed face-to-face from 2014 to 2016 for sociodemographic/health factors and followed-up for one year on ED admission outcomes using Singapore Ministry of Health’s Mediclaim Database. We first applied multivariable logistic regression and two-part models to test if living alone is a risk factor for ED admission outcomes. We then ran stratified and joint effect analysis to examine if the associations between living alone and ED admission outcomes were moderated by multimorbidity.

Results

Compared to living with others, living alone was associated with higher odds of ED admission [Odds Ratio (OR) 1.28, 95 % Confidence Interval(CI) 1.08-1.51)], longer inpatient days (+0.61, 95 %CI 0.25-0.97) and higher inpatient costs (+322 USD, 95 %CI 54-591). The interaction effects of living arrangement and multimorbidity on ED admissions and inpatient costs were not statistically different, whereas the interaction between living arrangements and multimorbidity on inpatient days was borderline significant (p-value for interaction=0.050). Compared to those living with others and without multimorbidity, the relative mean increase was 1.13 inpatient days (95 %CI 0.39-1.86) for those living alone without multimorbidity, and 0.73 inpatient days ( 95 %CI 0.29-1.17) for those living alone with multimorbidity.

Conclusions

Older adults living alone were at higher risk of ED admission and higher inpatient costs regardless of multimorbidity, while those living alone without multimorbidity had the longest average inpatient days. To enable aging in place while avoiding ED admissions, interventions could provide instrumental support and regular health monitoring to older adults living alone, regardless of their health status.

Use of health and aged care services in Australia following hospital admission for myocardial infarction, stroke or heart failure

BACKGROUND

Cardiovascular diseases (CVD), including myocardial infarction (MI), stroke and heart failure (HF) are the leading cause of death amongst the older population worldwide. The aim of this study is to investigate trajectories of use of health and aged care services after hospital admission for MI, stroke or HF among community-dwelling people not previously receiving aged care services.

METHODS

The study population comprised people aged 65+ years from the 45 and Up Study with linked records for hospital stays, aged care services and deaths for the period 2006-14. Among those with an index hospital admission for MI, stroke or HF, we developed Sankey plots to describe and visualize sequences and trajectories of service use (none, re-hospitalization, community care, residential care, death) in the 12 months following discharge. We used Cox proportional hazards models to estimate hazard ratios (HRs), for commencing community care and entering residential care (and the other outcomes) within 3, 6 and 12 months, compared to a matched group without MI, stroke or HF.

RESULTS

Two thousand six hundred thirty-nine, two thousand five hundred and two thousand eight hundred seventy-three people had an index hospitalization for MI, stroke and HF, respectively. Within 3 months of hospital discharge, 16, 32 and 29%, respectively, commenced community care (multivariable-adjusted HRs: 1.26 (95%CI:1.18-1.35), 1.53 (95%CI:1.44-1.64) and 1.39 (95%CI:1.32-1.48)); and 7, 18 and 14%, respectively, entered residential care (HRs: 1.25 (95%CI:1.12-1.41), 2.65 (95%CI:2.42-2.91) and 1.50 (95%CI:1.37-1.65)). Likewise, 26, 15 and 28%, respectively, were rehospitalized within 3 months following discharge (multivariable-adjusted HRs: 4.78 (95%CI:4.31-5.32), 3.26 (95%CI:2.91-3.65) and 4.94 (95%CI:4.47-5.46)).

CONCLUSIONS

Older people hospitalized for major CVD may be vulnerable to transition-related risks and have poor health trajectories, thus emphasizing the value of preventing such events and care strategies targeted towards this at-risk group.

Gender-linked determinants for utilization of long-term care in community-dwelling adults 65+ in Germany: Results from the population-based KORA-Age study

BACKGROUND

The number of people using long-term care (LTC) is increasing steadily, hence, demand for adequate services is rising. The purpose of this exploratory study was to identify relevant gender-linked determinants for utilization of LTC in community-dwelling older adults.

METHODS

We examined 4077 females (52.7%) and males ≥ 65 years old (range: 65-97 years) between 2011/12 (t₁) and 2016 (t₂). Data originated from the population-based Cooperative Health Research in the Region of Augsburg (KORA)-Age study in southern Germany. A descriptive analysis assessed the amount of LTC used. Cross-sectional generalized estimating equation logistic models identified determinants for utilization of (in)formal LTC. Determinants for transition to LTC between t₁ and t₂ were examined using a longitudinal logistic regression model. Potential determinants were chosen according to Andersen's Behavioral Model of Health Services Use.

RESULTS

At t₂, 820 (20.1%) were LTC users with 527 (64.3%) being female. The average amount of informal LTC was higher in males, whereas the amount of formal LTC was higher in females. In both genders, higher age, multimorbidity, and disability were associated with utilization of and transition to LTC. Living alone was significantly associated with utilization of LTC in both genders, but its effect was two times stronger in males. Thus, it is considered the essential gender-linked determinant.

CONCLUSIONS

Gender-linked determinants must be considered when establishing demand-oriented policies. Future health programs should specifically target older individuals, especially males, living alone to improve their capabilities in activities of daily living to allow them to remain living longer and independently within community settings.

Socio-economic inequality in long-term care: a comparison of three time periods in the Netherlands

As a result of the rapid ageing of societies, meeting the demands for long-term care has become increasingly difficult. In the Netherlands, informal care is recognised as a key element to compensate for cut-backs in formal care provision. Formal, informal and privately paid long-term care services, however, are not used equally across socio-economic status (SES) groups and whether these inequalities have been reduced or exacerbated over time has not been researched. This study investigates to what extent educational and income inequalities in the use of formal, informal and privately paid care have changed over time. Data from the Longitudinal Aging Study Amsterdam (LASA) was used from three points in time: 1995 (N = 787), 2005 (N = 550) and 2015 (N = 473). Participants were between 75 and 85 years of age and living independently. The results indicate that lower SES groups are consistently more likely to use formal and informal care, and less likely to use privately paid care compared to higher SES groups. An increase in inequality was only found in the use of informal care; while informal care use is stable among lower SES groups, it decreases steeply among higher SES groups. These findings highlight the importance of education for explaining variation and changes over time in care use. Governmental efforts to mobilise informal care-givers might be outweighed by trends towards less long-term care.

Prevalence and Factors Associated with Cumulative Anticholinergic Burden Among Older Long-Stay Nursing Home Residents with Overactive Bladder

BACKGROUND

Overactive bladder (OAB), the primary cause of urinary incontinence in nursing homes, is commonly treated with anticholinergic medications; however, the elderly population is vulnerable to the adverse effects associated with anticholinergic burden. Given the relatively high prevalence of OAB among nursing home residents, it is important to understand the magnitude of anticholinergic burden in this population.

OBJECTIVES

The objectives of this study were to (1) examine the prevalence of cumulative anticholinergic burden among long-stay nursing home (LSNH) residents with OAB; and (2) identify the factors associated with varying levels of cumulative anticholinergic burden.

METHODS

This was a retrospective, cohort study using Minimum Data Set-linked Medicare claims data. Anticholinergic burden was determined based on the Anticholinergic Cognitive Burden scale and patient-specific dosing using defined daily dose. The Andersen Behavioral Model framework was used to identify the predisposing, enabling, and need factors associated with levels of anticholinergic burden. Multivariable logistic regression models were developed to determine the factors associated with levels of anticholinergic burden.

RESULTS

A total of 123,308 LSNH residents with OAB were identified; 87.2% had some degree of anticholinergic burden and 27.3% had high cumulative burden. Multiple factors were associated with higher levels of burden, including younger age, female sex, and non-Hispanic White ethnicity (predisposing factors); dual eligibility, Southern geographic region, and rural residence (enabling factors); and a number of comorbidities and concomitant medications (need factors).

CONCLUSIONS

This study revealed a high level of anticholinergic burden among LSNH residents. Multiple factors were associated with a high level of burden. There is a need to optimize the use of anticholinergics due to their significant safety concerns in the LSNH setting.

Social factors influencing utilization of home care in community-dwelling older adults: a scoping review

BACKGROUND

Older adults want to live at home as long as possible, even in the face of circumstances that limit their autonomy. Home care services reflect this emergent preference, allowing older adults to 'age in place' in familiar settings rather than receiving care for chronic health conditions or ageing needs in an institutionalized setting. Numerous social factors, generally studied in isolation, have been associated with home care utilization. Even so, social circumstances are complex and how these factors collectively influence home care use patterns remains unclear.

OBJECTIVES

To provide a broad and comprehensive overview of the social factors influencing home care utilization; and to evaluate the influence of discrete social factors on patterns of home care utilization in community-dwelling older adults in high-income countries.

METHODS

A scoping review was conducted of six electronic databases for records published between 2010 and 2020; additional records were obtained from hand searching review articles, reference lists of included studies and documents from international organisations. A narrative synthesis was presented, complemented by vote counting per social factor, harvest plots and an evaluation of aggregated findings to determine consistency across studies.

RESULTS

A total of 2,365 records were identified, of which 66 met inclusion criteria. There were 35 discrete social factors grouped into four levels of influence using a socio-ecological model (individual, relationship, community and societal levels) and grouped according to outcome of interest (home care propensity and intensity). Across all studies, social factors consistently showing any association (positive, negative, or equivocal in pattern) with home care propensity were: age, ethnicity/race, self-assessed health, insurance, housing ownership, housing problems, marital status, household income, children, informal caregiving, social networks and urban/rural area. Age, education, personal finances, living arrangements and housing ownership were associated with home care intensity, also with variable patterns in utilization. Additional community and societal level factors were identified as relevant but lacking consistency across the literature; these included rurality, availability of community services, methods of financing home care systems, and cultural determinants.

CONCLUSION

This is the first literature review bringing together a wide range of reported social factors that influence home care utilization. It confirms social factors do influence home care utilization in complex interactions, distinguishes level of influences at which these factors affect patterns of use and discusses policy implications for home care reform.

Post-stroke dementia and permanent institutionalization

BACKGROUND

Dementia is among the most frequent causes of institutionalization. To serve the purpose of preventive strategies, there are no follow-up studies that have evaluated the actual impact of post-stroke dementia on institutionalization. We therefore compared the institutionalization rate and length of stay in an institutional care facility of patients with post-stroke dementia with stroke patients without dementia.

METHODS

We included 410 consecutive patients aged 55 to 85 years with ischemic stroke who were admitted to Helsinki University Hospital (The SAM cohort). Hospitalization and nursing home admissions were reviewed from national registries. Dementia was diagnosed using the Diagnostic and Statistical Manual of Mental Disorders 3rd edition (DSM-III) criteria using extensive clinical assessments performed 3 months post-stroke. The cohort had a follow-up 21 years later.

RESULTS

Compared to patients without dementia, post-stroke dementia was associated with shorter survival time (6.60 vs 10.10 years, p < 0.001), shorter time spent not institutionalized (5.40 vs 9.37 years, p < 0.001), but not with time spent permanently institutionalized (0.73 vs 1.10 years, p = 0.08). Post-stroke dementia was associated with higher rates and earlier permanent institutionalization compared to absence of post-stroke dementia (HR 1.53, 95% CI 1.07-2.18) in a Cox regression model adjusting for age, status of living alone at baseline, modified Rankin Scale at baseline, history of atrial fibrillation, and cardiac failure.

CONCLUSIONS

Post-stroke dementia is associated with earlier permanent institutionalization. Due to significantly shorter survival, the time spent in nursing homes was not significantly longer in patients with post-stroke dementia compared with patients without post-stroke dementia.

Living settings and cognitive impairment are stronger predictors of nursing home admission after hip fracture surgery than physical comorbidities A nationwide Danish cohort study

INTRODUCTION

Sustaining a hip fracture is a life changing event for many elderlies. While doctors and researchers tend to be preoccupied with mortality and complication rates, patients are more concerned by other aspects e.g. loss of independence and ability to remain in their own home. This study aimed to i) determine age-stratified one-year event rates of admission to nursing home after discharge, and ii) identify risk factors associated with nursing home admission.

METHODS

Community dwelling patients aged 60-100 years undergoing their first hip fracture surgery in 2005 - 2015 were identified in nationwide administrative registries. Outcome was admission to nursing home within one year of discharge. To assess risk factors, we performed age-stratified cumulative incidence curves and multivariate cause specific cox regression models adjusted for age, sex, social factors, and comorbidities.

RESULTS

A total of 53,157 patients were included. One-year risk increased with advancing age from 3.2% of patients aged 60 to 69, up to 22.4% in the eldest group aged 90-100 years. Living alone and dementia were strong risk factors HR 9.22 [95% CI 5.60-15.18, p = <0.0001] and HR 6.73 [95% CI 4.80- 9.44, p = 0.0001] respectively for patients aged 60 to 69 years, the effect decreased with higher age down to HR 2.75 [95% CI 2.12- 3.57, p = <0.0001] and HR 2.15 [95% CI 1.88- 2.46, p = <0.0001] for patients ≥ 90 years. Other important risk factors were pre-injury home care, Parkinson's disease and depression. Surprisingly, physical comorbidities i.e. kidney disease, chronic obstructive pulmonary disease, diabetes and cancer did not increase the risk of nursing home admission.

CONCLUSION

Future initiatives aimed to reduce loss of independence and nursing home admission, among patients with first time hip fracture, should devote attention to living settings and cognitive impairment rather than physical comorbidity.

Factors Associated With Hospitalization Before the Start of Long-Term Care Among Elderly Disabled People

The growing number of elderly people with functional limitations, cognitive impairment, and disability is an organizational challenge for the health care sector. This study investigated the factors associated with hospitalization in the period between evaluation and the start of a long-term care (LTC) program for patients on the waiting list. A population-based historical cohort study was performed using data extracted from different administrative databases. The cohort included disabled individuals 65 years and older who were evaluated for entrance into an LTC program between January 1, 2012, and December 31, 2013, in Tuscany, Italy. The sample consisted of 11,429 subjects. The characteristics positively associated with hospital admission were residence zone {urban incidence rate ratio (IRR) = 0.83 (95% confidence interval [CI] 0.74-0.94)}, number of prescribed drugs IRR = 1.01 (95% CI 1.00-1.02), a Charlson Comorbidity Index of 2 IRR = 1.44 (95% CI 1.26-1.64), and lower social conditions IRR = 0.99 (95% CI 0.98-1.00). The rate of hospitalization for patients with heart failure, chronic obstructive pulmonary disease, and dementia was higher than for patients without these diseases. Our results indicate that it may be possible to predict factors that can lead to hospitalization before the start of an LTC program.

Can your house keep you out of a nursing home?

We examine the impact of the accessibility of an older individual's house on her use of nursing home care. We link administrative data on the accessibility of all houses in the Netherlands to data on long-term care use of all older persons from 2011 to 2014. We find that older people living in more accessible houses are less likely to use nursing home care. The effects increase with age and are largest for individuals aged 90 or older. The effects are stronger for people with physical limitations than for persons with cognitive problems. We also provide suggestive evidence that older people living in more accessible houses substitute nursing home care by home care.

Long-term care use after a stroke or femoral fracture and the role of family caregivers

Background

There has been a shift from institutional care towards home care, and from formal to informal care to contain long-term care (LTC) costs in many countries. However, substitution to home care or informal care might be harder to achieve for some conditions than for others. Therefore, insight is needed in differences in LTC use, and the role of potential informal care givers, across specific conditions. We analyze differences in LTC use of previously independent older patients after a fracture of femur and stroke, and in particular examine to what extent having a partner and children affects LTC use for these conditions.

Methods

Using administrative data on Dutch previously independent older people (55+) with a fracture of femur or stroke in 2013, we investigate their LTC use in the year after the condition takes place. We use administrative treatment data to select individuals who were treated by a medical specialist for a stroke or femoral fracture in 2013. Subsequent LTC use is measured as using no formal care, home care, institutional care or being deceased at 13 consecutive four-weekly periods after initial treatment. We relate long-term care use to having a partner, having children, other personal characteristics and the living environment.

Results

The probability to use no formal care 1 year after the initial treatment is equally high for both conditions, but patients with a fracture are more likely to use home care, while patients with a stroke are more likely to use institutional care or have died. Having a spouse has a negative effect on home care and institutional care use, but the timing of the effect, especially for institutional care, differs strongly between the two conditions. Having children also has a negative effect on formal care use, and this effect is consistently larger for patients with a fracture than patients with a stroke.

Conclusion

As the condition and the effect of potential informal care givers matter for subsequent long-term care use, policy makers should take the expected prevalence of specific conditions within the older people population into account when designing long-term care policies.

Formal home care use by older adults: trajectories and determinants in the Lc65+ cohort

Background

Given the increasing importance of formal home care services in policies dedicated to elder care, there is major interest in studying individuals’ characteristics determining their utilization. The main objective of this research was to quantify, during a 6-year timeframe, home care use trajectories followed by community-dwelling participants in a cohort study of older adults. The secondary objective was to identify factors associated with home care utilization using Andersen’s Behavioural Model of Health Services Use.

Methods

We proceeded to an analysis of data prospectively collected in the setting of the Lc65+ population-based study conducted in Lausanne (Switzerland). Self-reported utilization of professional home care in 2012 and 2018 was used to define trajectories during this timeframe (i.e. non-users, new users, former users and continuing users). Bivariable analyses were performed to compare new users to non-users regarding the three dimensions of Andersen’s model (predisposing, enabling and need factors) measured at baseline. Then, binomial logistic regression was used in a series of two hierarchical models to adjust for need factors first, before adding predisposing and enabling factors in a second model.

Results

Of 2155 participants aged between 69 and 78 in 2012, 82.8% remained non-users in 2018, whereas 11.2% started to use professional home care. There were 3.3% of continuing users and 2.7% of former users. New users exhibited a higher burden of physical and psychological complaints, chronic health conditions and functional limitations at baseline. After adjusting for these need factors, odds of home care utilization were higher only in participants reporting a difficult financial situation (OR 1.65, 95% CI 1.12–2.45).

Conclusions

In the setting of a Swiss city, incident utilization of formal home care by older adults appeared to be largely determined by need factors. Modifiable factors like personal beliefs and knowledge about home care services did not play a role. After adjusting for need, odds of becoming home care user remained higher in participants reporting a difficult financial situation, suggesting such vulnerability does not hamper access to professional home care in this specific context.

Health and social care costs at the end of life: a matched analysis of linked patient records in East London

BACKGROUND

care in the final year of life accounts for 10% of inpatient hospital costs in UK. However, there has been little analysis of costs in other care settings. We investigated the publicly funded costs associated with the end of life across different health and social care settings.

METHOD

we performed cross-sectional analysis of linked electronic health records of residents aged over 50 in a locality in East London, UK, between 2011 and 2017. Those who died during the study period were matched to survivors on age group, sex, deprivation, number of long-term conditions and time period. Mean costs were calculated by care setting, age and months to death.

RESULTS

across 8,720 matched patients, the final year of life was associated with £7,450 (95% confidence interval £7,086-£7,842, P < 0.001) of additional health and care costs, 57% of which related to unplanned hospital care. Whilst costs increased sharply over the final few months of life in emergency and inpatient hospital care, in non-acute settings costs were less concentrated in this period. Patients who died at older ages had higher social care costs and lower healthcare costs than younger patients in their final year of life.

CONCLUSIONS

the large proportion of costs relating to unplanned hospital care suggests that end-of-life planning could direct care towards more appropriate settings and lead to system efficiencies. Death at older ages results in an increasing proportion of care costs relating to social care than to healthcare, which has implications for an ageing society.

Future hospital service utilisation in older adults living in long-term residential aged care or the community hospitalised with a fall-related injury

This study identified group-based trajectories of hospitalisation for older adults who were living in residential aged care facilities (RACF) or the community for up to 4 years after an index fall injury hospitalisation. Greater than 3 subsequent fall injury hospitalisations and time until move to a RACF were key predictors of RACF and community-living trajectory group memberships, respectively.

INTRODUCTION

To examine hospital service use trajectories of people aged ≥ 65 years who had a fall injury hospitalisation and were either living in a residential aged care facility (RACF) or the community at the time of the index fall and to identify factors predictive of their trajectory group membership.

METHOD

A group-based trajectory analysis of hospitalisations of people aged ≥ 65 years who had a fall injury hospitalisation during 2008-2009 in New South Wales, Australia, was conducted. Linked hospitalisation and RACF data were examined for a 5-year period. Group-based trajectory models were derived based on number of subsequent hospital admissions following the index fall injury hospitalisation. Multinominal logistic regression examined predictors of trajectory group membership.

RESULTS

There were 24,729 fall injury hospitalisations; 78.8% of fallers were living in the community and 21.2% in a RACF. Five distinct trajectory groups were identified for community-living and four trajectory groups for RACF residents. Key predictors of trajectory group membership for both community-living and RACF residents were age group, number of comorbidities and dementia status. For RACF residents, depression, assistance with activities of daily living and number of subsequent fall injury admissions were also predictors of group membership, with time to move to a RACF a predictor of group membership for community living.

CONCLUSIONS

Identifying trajectories of ongoing hospital use informs targeting of strategies to reduce hospital admissions and design of services to allow community-living individuals to remain as long as possible within their own residence.

Community-Dwelling and Recently Widowed Older Adults: Effects of Spousal Loss on Psychological Well-Being, Perceived Quality of Life, and Health-Care Costs

This study is on the effects of spousal loss among older adults who continue to live independently after bereavement. Little longitudinal studies focus on this group, which is of special interest, since in many countries, care policy and system reform are aimed at increasing independent living among older adults. Using longitudinal data from a Dutch public data repository, we investigate the effects of spousal loss on psychological well-being, perceived quality of life, and (indication of) yearly health-care costs. Of the respondents who had a spouse and were living independently (N = 9,400) at baseline, the majority had not lost their spouse after 12 months (T12, n = 9,150), but 2.7% (n = 250) had lost their spouse and still lived independently. We compared both groups using multivariate regression (ordinary least squares) analyses. The results show that spousal loss significantly lowers scores on psychological well-being and perceived quality of life, but we found no effect on health-care costs.

Discharge Home From Hospital: How DIRE Can It Be?

Aim: An easy-to-use “DIRE” questionnaire tool was developed to predict an adverse event (AE) within 30 days following discharge from a hospital to the community, among frail elderly individuals aged 65+ years. Methods: Hospital-administered RAI-HC (Residential Assessment Instrument for Home Care) assessment data from 1,433 individuals were used to develop the tool. Results: The DIRE tool outperformed two other instruments that have been used to predict risk in similar populations. Furthermore, the DIRE index was validated on a hold-out sample and in a bootstrapping analysis. Discussion: In addition to its effectiveness in predicting an AE, the added advantages of the DIRE assessment is that only a small amount of data is required and the data are readily available to clinicians at the point of hospital discharge.

Determinants for utilization and transitions of long-term care in adults 65+ in Germany: results from the longitudinal KORA-Age study

BACKGROUND

Societies around the world face the burden of an aging population with a high prevalence of chronic conditions. Thus, the demand for different types of long-term care will increase and change over time. The purpose of this exploratory study was to identify determinants for utilization and transitions of long-term care in adults older than 65 years by using Andersen's Behavioral Model of Health Services Use.

METHODS

The study examined individuals older than 65 years between 2011/2012 (t₁) and 2016 (t₂) from the population-based Cooperative Health Research in the Region of Augsburg (KORA)-Age study from Southern Germany. Analyzed determinants consisted of predisposing (age, sex, education), enabling (living arrangement, income) and need (multimorbidity, disability) factors. Generalized estimating equation logistic models were used to identify determinants for utilization and types of long-term care. A logistic regression model examined determinants for transitions to long-term care over four years through a longitudinal analysis.

RESULTS

We analyzed 810 individuals with a mean age of 78.4 years and 24.4% receiving long-term care at t₁. The predisposing factors higher age and female sex, as well as the need factors higher multimorbidity and higher disability score, were determinants for both utilization and transitions of long-term care. Living alone, higher income and a higher disability score had a significant influence on the utilization of formal versus informal long-term care.

CONCLUSION

Our results emphasize that both utilization and transitions of long-term care are influenced by a complex construct of predisposing, enabling and need factors. This knowledge is important to identify at-risk populations and helps policy-makers to anticipate future needs for long-term care.

TRIAL REGISTRATION

Not applicable.

Determinants of first-time utilization of long-term care services in the Netherlands: an observational record linkage study

Background

Since in an ageing society more long-term care (LTC) facilities are needed, it is important to understand the main determinants of first-time utilization of (LTC) services.

Methods

The Andersen service model, which distinguishes predisposing, enabling and need factors, was used to develop a model for first-time utilization of LTC services among the general population of the Netherlands. We used data on 214,821 persons registered in a database of general practitioners (NIVEL Primary Care Database). For each person the medical history was known, as well as characteristics such as ethnicity, income, home-ownership, and marital status. Utilization data from the national register on long-term care was linked at a personal level. Generalized Linear Models were used to determine the relative importance of factors of incident LTC-service utilization.

Results

Top 5 determinants of LTC are need, measured as the presence of chronic diseases, age, household size, household income and homeownership. When controlling for all other determinants, the presence of an additional chronic disease increases the probability of utilizing any LTC service by 45% among the 20+ population (OR = 1.45, 95% CI: 1.41–1.49), and 31% among the 65+ population (OR = 1.31, 95% CI: 1.27–1.36). With respect to the 20+ population, living in social rent (OR = 2.45, 95% CI = 2.25–2.67, ref. = home-owner) had a large impact on utilizing any LTC service. In a lesser degree this was the case for living alone (OR = 1.63, 95% CI = 1.52–1.75, ref. = not living alone). A higher household income was linked with a lower utilization of any LTC service.

Conclusions

All three factors of the Anderson model, predisposing, enabling, and need determinants influence the likelihood of future LTC service utilization. This implies that none of these factors can be left out of the analysis of what determines this use. New in our analysis is the focus on incident utilization. This provides a better estimate of the effects of predictors than a prevalence based analysis, as there is less confounding by changes in determinants occurring after LTC initiation. Especially the need of care is a strong factor. A policy implication of this relative importance of health status is therefore that LTC reforms should take health aspects into account.

Electronic supplementary material

The online version of this article (10.1186/s12913-017-2570-z) contains supplementary material, which is available to authorized users.

Successful Aging as a Predictor of Long-Term Care Among Oldest Old: The Vitality 90+ Study

AIM

The aim of the study was to investigate whether successful aging (SA) predicts entering long-term care (LTC) among nonagenarians.

METHODS

Data originated from the linkage of the Vitality 90+ Study surveys with register data from Finnish Population Register and Care Registers. Altogether 1,966 community-dwelling individuals were followed for 2 years and 1,354 individuals for 5 years. Four models of SA were constructed by varying combinations of physical, psychological, and social components. Competing risk regression analysis was used.

FINDINGS

The incidence rate for entering LTC was lower for successful agers. Three models of SA presented a significantly decreased risk for entering LTC in the whole group and in women. The impact of SA was attenuated when living alone, needing help, and the year of participation were adjusted for, but was still significant for Model 3.

CONCLUSION

Nonagenarians who meet the multidimensional criteria of SA are less likely to enter LTC than those aging less successfully.

Risk factors associated with residential aged care, respite and transitional aged care admission for older people following an injury-related hospitalisation

OBJECTIVES

To identify factors associated with admission to residential aged care (RAC), respite RAC and transitional care (TC) for older individuals following an injury hospitalisation.

METHOD

A retrospective analysis was conducted of individuals aged ≥65 years who had an injury hospitalisation and who were admitted to RAC during 1 July 2008 and 30 June 2013 in New South Wales, Australia. Multinominal logistic regression was used to examine the factors associated with admissions to aged care services compared to returning to the community.

RESULTS

Of 191,301 injury hospitalisations, 41,085 (21.5%) individuals either returned or were new admissions to long-term or respite RAC and 3,218 individuals were admitted to TC. Older individuals newly admitted to long-term RAC were four times more likely (OR: 4.36; 95%CI 4.15-4.57), those admitted to respite RAC were twice as likely (OR: 2.37; 95%CI 2.21-2.54) and people admitted to TC were less likely (OR: 0.60; 95%CI 0.53-0.68) to have dementia compared to individuals who returned to the community. Overall, individuals who were admitted to long-term or respite RAC had a higher likelihood of experiencing limitations associated with their physical, cognitive or social abilities, with individuals admitted to TC having a higher likelihood of issues with hygiene and mobility, compared to individuals returning to the community.

CONCLUSION

Understanding the profile and predictive risk factors for injured older individuals using RAC (long-term, respite or TC services) can inform current and future aged care service resource use needs and can be used to understand factors associated with service use.

Demand and Signing of General Practitioner Contract Service among the Urban Elderly: A Population-Based Analysis in Zhejiang Province, China

This study aims to examine whether the urban elderly in the Zhejiang Province of China signed contracts with their general practitioner (GP) based on their health service needs, and to further identify the determinants of their demand and signing decisions. A community-based cross-sectional study was conducted in 16 community health service (CHS) institutions in Zhejiang Province, China. The urban elderly over 60 years of age were enrolled when visiting the sampled CHS. Baseline characteristics were compared between participants using Chi-Square tests for categorical variables. Univariate and multivariable logistic regression analyses were used to identify determinants of the GP contract service demand and signing decisions, respectively. Among the 1440 urban elderly, 56.67% had signed contracts with their GP, and 55.35% had a demand of the GP contract service. The influencing factors of demand were a history of diabetes or cardiovascular disease (OR = 1.33, 95% CI, 1.05–1.68); urban resident basic medical insurance (URBMI) vs. urban employee basic medical insurance (UEBMI) (OR = 1.96, 95% CI, 1.46–2.61); and middle-income vs. low-income (OR = 0.67, 95% CI, 0.50–0.90 for RMB 1001–3000; OR = 0.59, 95% CI, 0.39–0.90 for RMB 3001–5000). Having a demand for the GP contract service was the strongest determinant of signing decisions (OR = 13.20, 95% CI, 10.09–17.27). Other factors also contributed to these decisions, including gender, caregiver, and income. The urban elderly who had signed contracts with GPs were mainly based on their health care needs. Elderly people with a history of diabetes or cardiovascular disease, as well as those with URBMI, were found to have stronger needs of a GP contract service. It is believed that the high-income elderly should be given equal priority to those of low-income.

Long-term care provision, hospital bed blocking, and discharge destination for hip fracture and stroke patients

We examine the relationship between long-term care supply (care home beds and prices) and (i) the probability of being discharged to a care home and (ii) length of stay in hospital for patients admitted to hospital for hip fracture or stroke. Using patient level data from all English hospitals and allowing for a rich set of demographic and clinical factors, we find no association between discharge destination and long-term care beds supply or prices. We do, however, find evidence of bed blocking: hospital length of stay for hip fracture patients discharged to a care home is shorter in areas with more long-term care beds and lower prices. Length of stay is over 30% shorter in areas in the highest quintile of care home beds supply compared to those in the lowest quintile.

Risk of Nursing Home Admission After Femoral Fracture Compared With Stroke, Myocardial Infarction, and Pneumonia

OBJECTIVE

To analyze the burden of institutionalizations after femoral fracture and compare it with other "catastrophic" disease entities like stroke, myocardial infarction, or pneumonia.

DESIGN/SETTING/PARTICIPANTS

Routine data of 414,000 hospitalized German patients aged 66 years and older were used to calculate institutionalization risks after femoral fracture, stroke, myocardial infarction, pneumonia or a combined group of "all other hospitalizations."

MEASUREMENTS

Institutionalization was defined as nursing home admission within 6 months after discharge from hospital. Age- and sex-specific incidence and incidence rates of institutionalization were calculated. To compare the risk of institutionalization between the disease entities, age-standardized rates were computed and proportional hazards models were applied. In-house mortality and mortality after discharge from hospital were also calculated.

RESULTS

The risk of institutionalization increased exponentially with age in all disease entities. For example, the risk of institutionalization after femoral fracture increased from 3.6% in women aged 65 to 69 years to 34.8% in women aged 95 years and older. The highest institutionalization rates were observed in patients with stroke, followed by femoral fracture, pneumonia, and myocardial infarction. In men, the age-standardized risk of institutionalization was almost as high after femoral fracture as after stroke (7.5% vs 8.0%). In contrast to myocardial infarction and pneumonia, femoral fracture and stroke were more likely to be followed by institutionalization rather than death.

CONCLUSION

Femoral fractures result in high burden of institutionalizations. Prevention of falls, diagnosis and treatment of osteoporosis, and high-quality rehabilitation are challenges to tackle the burden of institutionalization in these patients in the future.

Community-Based Long-Term Care Services

Objective: This study examines the relationship between caregivers’ perception of community-based long-term care (CBLTC) services and the service use. Method: We used first two waves of the longitudinal data set of 1,416 dyads of care recipients and their caregivers in Singapore. Four perceived attributes of LTC services—service quality, convenience, social connectedness, and affordability—were measured on a 5-point scale. Results: Among the four perceived attributes, perceived affordability was significantly associated with future utilization for all types of CBLTC services. Perceived service quality and convenience was significantly associated with center-based LTC services use. Discussion: Caregivers are critically involved in the decision of using CBLTC services, and their perception of service characteristics is significantly associated with the uptake of CBLTC services. It is important to incorporate both care recipients’ and caregivers’ needs and preferences when designing and promoting integrated health care delivery models.

Can universal access and competition in long-term care insurance be combined?

In countries with a public long-term care (LTC) insurance scheme administered by multiple non-competing insurers, these insurers typically lack incentives for purchasing cost-effective LTC because they are not at risk for LTC expenses. Plans to introduce these incentives by allowing competition among risk bearing LTC insurers are likely to jeopardize universal access. Combining universal access and competition among risk bearing LTC-insurers requires an adequate system of risk adjustment. While risk adjustment is now widely adopted in health insurance, LTC-specific features cause uncertainty about the feasibility of risk adjustment for LTC insurance. We examine the feasibility of appropriate risk adjustment in LTC insurance by using a rich set of linked nationwide Dutch administrative data. As expected, prior LTC use and demographic information are found to explain much of the variation in individual LTC expenses. However, we find that prior health care expenditures are also important in reducing predicted losses for subgroups of health care users. Nevertheless, incentives for risk selection against some easily identifiable subgroups persist. Moreover, using prior utilization and expenditure as risk adjusters reduces incentives for efficiency, creating a trade-off between equity and efficiency. To ease this trade-off, data on individuals' underlying needs for LTC are required.

Changes in health care expenditure after the loss of a spouse: data on 6,487 older widows and widowers in the Netherlands

BACKGROUND

In ageing populations, informal care holds great potential to limit rising health care expenditure. The majority of informal care is delivered by spouses. The loss of informal care due to the death of the spouse could therefore increase expenditure levels for formal care.

OBJECTIVE

To investigate the impact of the death of the spouse on health care expenditure by older people through time. Additionally, to examine whether the impact differs between socio-demographic groups, and what health services are affected most.

DESIGN

Longitudinal data on health care expenditure (from July 2007 through 2010) from a regional Dutch health care insurer was matched with data on marital status (2004-2011) from the Central Bureau of Statistics. Linear mixed models with log transformed health care expenditure, generalized linear models and two-part models were used to retrieve standardized levels of monthly health care expenditure of 6,487 older widowed subjects in the 42 months before and after the loss of the spouse.

RESULTS

Mean monthly health care expenditure in married subjects was € 502 in the 42 months before the death of the spouse, and expenditure levels rose by € 239 (48%) in the 42 months after the death of the spouse. The increase in expenditure after the death of the spouse was highest for men (€ 319; 59%) and the oldest old (€ 553; 82%). Expenditure levels showed the highest increase for hospital and home care services (together € 166).

CONCLUSIONS

The loss of the spouse is associated with an increase in health care expenditure. The relatively high rise in long-term care expenses suggests that the loss of informal care is an important determinant of this rise.

Use of Electronic Health-Related Datasets in Nursing and Health-Related Research

Datasets of gigabyte size are common in medical sciences. There is increasing consensus that significant untapped knowledge lies hidden in these large datasets. This review article aims to discuss Electronic Health-Related Datasets (EHRDs) in terms of types, features, advantages, limitations, and possible use in nursing and health-related research. Major scientific databases, MEDLINE, ScienceDirect, and Scopus, were searched for studies or review articles regarding using EHRDs in research. A total number of 442 articles were located. After application of study inclusion criteria, 113 articles were included in the final review. EHRDs were categorized into Electronic Administrative Health-Related Datasets and Electronic Clinical Health-Related Datasets. Subcategories of each major category were identified. EHRDs are invaluable assets for nursing the health-related research. Advanced research skills such as using analytical softwares, advanced statistical procedures, dealing with missing data and missing variables will maximize the efficient utilization of EHRDs in research.

Identifying the Potential for Robotics to Assist Older Adults in Different Living Environments

As the older adult population grows and becomes more diverse, so will their needs and preferences for living environments. Many adults over 65 years of age require some assistance [1, 2]; yet it is important for their feelings of well-being that the assistance not restrict their autonomy [3]. Not only is autonomy correlated with quality of life [4], autonomy enhancement may improve functionality [2, 5]. The goal of this paper is to provide guidance for the development of technology to enhance autonomy and quality of life for older adults. We explore the potential for robotics to meet these needs. We evaluated older adults' diverse living situations and the predictors of residential moves to higher levels of care in the United States. We also examined older adults' needs for assistance with activities of daily living (ADLs), instrumental activities of daily living (IADLs), and medical conditions when living independently or in a long-term care residence. By providing support for older adults, mobile manipulator robots may reduce need-driven, undesired moves from residences with lower levels of care (i.e., private homes, assisted living) to those with higher levels of care (i.e., skilled nursing).

Effects of family caregivers on the use of formal long-term care in South Korea

AIM

We investigated whether the presence and characteristics of a family caregiver affect the use of formal long-term care under the new Korean long-term care system.

BACKGROUND

In July 2008, Korea introduced public long-term care insurance, a form of social insurance, in order to cope with the reality of the growing elderly population and the increasing demand for long-term care.

METHODS

The family caregivers of 271 applicants for long-term care insurance who had a caregiver and 36 applicants without a caregiver living in one city participated in this cross-sectional study. Data were collected from November 2010 to June 2011 using self-report questionnaires. Variables included the applicant's gender; age; physical and cognitive function; type of long-term care used; presence and type of family caregivers; caregiver's gender, age, education level, marital status, and employment status; and service use covered by long-term care insurance. Logistic multiple regression was used.

RESULTS

The effect of the presence and characteristics of a family caregiver on the use of a long-term care facility was significant. A nursing home was used for care more frequently when the applicant had no family caregiver. An elderly subject who had a spouse as a caregiver used home healthcare services more often than nursing home services.

CONCLUSION

The decision to use formal services may depend not only on the care level required by the applicant, but also on the presence and type of caregivers. To successfully implement the new long-term care insurance system, consideration of the caregiver situation should be included in policy development.

Does social isolation predict hospitalization and mortality among HIV+ and uninfected older veterans?

OBJECTIVES

To compare levels of social isolation in aging veterans with and without the human immunodeficiency virus (HIV) and determine associations with hospital admission and mortality.

DESIGN

Longitudinal data analysis.

SETTING

The Veterans Aging Cohort Study (VACS), at eight VA Medical Centers nationally.

PARTICIPANTS

Veterans aged 55 and older enrolled in VACS from 2002 to 2008 (N = 1,836).

MEASUREMENTS

A Social Isolation Score (SIS) was created using baseline survey responses about relationship status; number of friends and family and frequency of visits; and involvement in volunteer work, religious or self-help groups, and other community activities. Scores were compared according to age and HIV status, and multivariable regression was used to assess effects of SIS on hospital admission and all-cause mortality.

RESULTS

Mean SIS was higher for HIV-positive (HIV+) individuals, with increasing difference according to age (P = .01 for trend). Social isolation was also more prevalent for HIV+ (59%) than uninfected participants (51%, P < .001). In multivariable regression analysis of HIV+ and uninfected groups combined, adjusted for demographic and clinical features, isolation was independently associated with greater risk of incident hospitalization (hazard rate (HR) = 1.25, 95% confidence interval (CI) = 1.09-1.42) and risk of all-cause mortality (HR=1.28, 95% CI = 1.06-1.54). Risk estimates calculated for HIV+ and uninfected groups separately were not significantly different.

CONCLUSION

Social isolation is associated with greater risk of hospitalization and death in HIV+ and uninfected older veterans. Despite similar effects in both groups, the population-level effect of social isolation may be greater in those who are HIV+ because of the higher prevalence of social isolation, particularly in the oldest individuals.

Utilization of long-term care services under the public long-term care insurance program in Korea: Implications of a subsidy policy

OBJECTIVES

South Korea introduced public long-term care insurance (LTCI) in 2008. This study examined the patterns of and factors associated with public long-term care (LTC) utilization among older LTCI beneficiaries in Korea, with special attention to the policy for subsidizing the co-payments of lower income populations.

METHODS

Using a 5% national representative sample of 280,290 older people aged 65 or older obtained from the 2010 national LTCI claims database, we examined socio-demographic and health factors associated with service utilization decisions, service type chosen, and the intensity of service use.

RESULTS

About 5.48% of older adults in 2010 utilized the LTC provided under the Korean public LTCI, among which about 26.1% received a subsidy. Compared to their counterparts, the subsidized users were more likely to be low-income, female, and living alone. They were more likely to choose institutionalized care and spend to their monthly benefit limit while paying a lower co-payment. The factors associated with pattern and intensity of LTC utilization were not the same between subsidized and non-subsidized users.

CONCLUSION

The findings imply the subsidy policy promotes equity of access to public LTC services. Further evaluation is necessary on the impact of the policy on the effectiveness of LTC utilization by socially marginalized populations.