Validity of motor impairment scale in long-term care insurance system of Korea

Prognostic factors for 1-year functional outcome, quality of life, care demands, and mortality after surgery in Taiwanese geriatric patients with a hip fracture: a prospective cohort study

Background:

Hip fractures are a major public health concern among elderly individuals. This study aimed to investigate potential perioperative factors that predict 1-year functional outcome, quality of life (QoL), care demands, and mortality in geriatric patients with a hip fracture.

Methods:

We prospectively enrolled geriatric patients who had undergone hip fracture surgery in one medical center from December 2017 to December 2019. Basic demographic data, handgrip strength, and responses to questionnaires for QoL and activities of daily living (ADL) before the injury were collected at baseline. QoL, ADL, additional care demands other than family support, and mortality events were monitored at 1 year after the operation.

Results:

Among 281 patients with a hip fracture, 39 (13.9%) died within 1 year of the index operation. The mean follow-up interval for the survivors was 403.3 (range: 358–480) days. Among the 242 survivors, ADL and QoL considerably decreased at approximately 1 year following hip surgery. Up to 33.9% of the participants became severely dependent and needed additional care at 1-year follow up. Prefracture ADL status was the crucial predictor for functional outcome, QoL, and additional care demand at 1-year follow up. Cox regression models indicated that male sex, low preoperative serum creatinine, handgrip strength, long surgical delay after a falling accident, and high Charlson Comorbidity Index were considerably associated with a high 1-year mortality risk in the geriatric hip fracture population.

Conclusion:

Hip fracture has long-lasting effects (e.g. functional loss, decline in QoL, increased care demands, and high postoperative mortality rate) on the geriatric population. A robust screening method must be developed for identifying potential prognostic factors, and a stratified care approach must be used that accounts for personalized risks to improve functional outcomes and reduce mortality after hip fracture in geriatric patients, especially in Taiwan.

Loss of skeletal muscle mass can be predicted by sarcopenia and reflects poor functional recovery at one year after surgery for geriatric hip fractures

INTRODUCTION

Hip fractures in the elderly impact negatively on functional dependence, and carry great social costs and morbidity. We assessed the decline in muscle mass and functional outcomes following hip fracture surgery .

MATERIAL AND METHODS

Thirty patients with a hip fracture (mean age: 80.8 years) were assessed using dual-energy X-ray absorptiometry and reassessed for changes in body composition 1 year after hip surgery. Baseline demographic data, sarcopenia, and bone mineral density were recorded. Body mass index (BMI), handgrip strength, appendicular skeletal muscle mass (ASM), total body fat percentage, and responses to questionnaires measuring quality of life and activities of daily living (ADL) before injury and 1 year after hip surgery were analyzed to identify changes. Associations with changes in ADL or quality of life were analyzed with time-variant independent variables.

RESULTS

Significant losses in ADL were identified at the 1-year follow-up, at which time only 43% of patients had regained their preinjury ADL status. Additionally, the participants had lost an average of 4.63% of ASM. ASM loss was significantly higher in patients with baseline sarcopenia than in those without (mean loss: 9.18% and 1.15%, respectively). When confounders were controlled for, a greater loss of ASM and handgrip strength and larger increase in BMI were associated with greater decrease in ADL 1 year after hip surgery.

CONCLUSION

Geriatric hip fracture patients may experience a significant loss of muscle mass, associated with impaired functional recovery 1 year after hip surgery, highlighting a potential treatment target of maintaining muscle mass to improve prognosis in these patients.

Identifying the long-term care beneficiaries: differences between risk factors of nursing homes and community-based services admissions

BACKGROUND

The Portuguese long-term care sector is classified into home and community-based services (HCBS) and three nursing home (NH) units: convalescence, medium term and rehabilitation, and long term and maintenance.

AIMS

To identify the main factors of admission into each care setting and explore to what extent these populations are different. 14,140 patients from NH and 6844 from HCBS were included from all over the country.

METHODS

A logistic regression was estimated to identify determinants of admission into NH care, using sociodemographic characteristics, medical conditions and dependence levels at admission as independent variables, and region of care, referral entity and placement process as control variables. Then, ordered logistic regression was used to identify the contribution of the above factors in each specific NH unit.

RESULTS

Being female, not being married, not having family/neighbour support, being literate, having mental illness, being cognitively or physically impaired are the main predictors of being admitted into a NH. Within the NH units, placements of the large majority of patients were accurately predicted, based on the available variables. However, for around half of the patients referred to long-term care units, the model expected placements into medium-term units, while for those admitted into short-stay units, the model returned that 29% could have benefited from being admitted into a medium-term care unit.

DISCUSSION AND CONCLUSIONS

Patients' accurate placement is a highly complex and challenging process, demanding more variables than the ones available for the model here presented. Our work confirms the need to collect other type of variables to improve the placement decision process.

Correlation Between Walking Ability and Monthly Care Costs in Elderly Patients After Surgical Treatments for Hip Fractures

Objective

To validate the relationship between residual walking ability and monthly care cost as well as long-term care insurance (LTCI) certification level in elderly patients after surgical treatment for hip fractures in Japan.

Methods

Elderly patients aged >75 years who underwent surgical treatment for hip fractures in our hospital were included. The preand post-surgical (6-month) walking ability and LTCI certification and the presence or absence of dementia was determined from medical records and questionnaires. Walking ability was classified into 6 levels used in our daily medical practice. Based on these data, we correlated the relationship between walking ability and the LTCI certification level. Further, based on the official statistics pertaining to the average monthly costs per person at each LTCI certification level, we evaluated the relationship between walking ability and monthly care cost.

Results

A total of 105 cases (mean age, 80.2 years; 16 men; 39 patients with dementia) were included. The correlation between walking ability and average monthly cost per person as well as LTCI certification level at 6 months postoperatively (r=0.58) was demonstrated. The correlation was found in both groups with and without dementia.

Conclusion

The ability to walk reduced the cost of care in elderly patients who experienced hip fracture, regardless of the presence of dementia.

Impact of long term care and mortality risk in community care and nursing homes populations

OBJECTIVES

To identify the survival time, the mortality risk factors and the individuals' characteristics associated with cognitive and physical status at discharge, among the Portuguese long-term care (LTC) populations.

SETTINGS

Home-and-Community-Based Services (HCBS) and three types of Nursing Homes (NH).

PARTICIPANTS

20,984 individuals admitted and discharged in 2015.

MEASUREMENTS

The Kaplan-Meier survival analysis and the Cox Proportional Hazards Models were used to study the mortality risk; the Wilcoxon signed-rank test to identify the number of individuals with cognitive and physical changes between admission and discharge; two cumulative odds ordinal logistic regressions to predict the cognitive and physical dependence levels at discharge RESULTS: The mortality rate at HCBS was 30%, and 17% at the NH, with a median survival time of 173 and 200 days, respectively. The main factors associated with higher mortality were older age, male gender, family/neighbour support, neoplasms and cognitive/physical dependence at admission. In NH/HCBS, 26%/18% of individuals improve their cognitive status, while in physical status the proportion was 38%/27%, respectively. Finally, older age, being illiterate and being classified at the lowest cognitive and physical status at admission decrease the likelihood of achieving a higher level of cognitive and physical independence at discharge.

CONCLUSIONS

The adoption of a robust and complete assessment tool, the definition of guidelines to enable a periodical assessment of individuals' autonomy and the adoption of benchmark metrics allowing the comparison of results between similar units are some of the main goals to be taken into account for future developments of this care in Portugal.