Although rehabilitation for older patients has the potential to improve function and prevent admission to nursing homes, returning home after discharge is not possible for all patients. Better understanding of patient factors related to discharge home may lead to more realistic rehabilitation goals, more targeted rehabilitation interventions and better preparation of both patient and informal caregiver for discharge. Various studies provided insight into factors related to home discharge after stroke rehabilitation, but we still lack insight into factors related to home discharge in non-stroke patients. Therefore, the aim of this review is to provide an overview of factors influencing home discharge in older non-stroke patients admitted to an inpatient rehabilitation unit. A systematic literature search was executed in the databases PubMed, EMBASE, CINAHL and Web of Science to retrieve articles published between January 2000 and October 2015. The search focused on factors related to home discharge after rehabilitation for older patients. Studies were included if home discharge after rehabilitation was assessed as an outcome measure and if the non-stroke population was, on average, 65 years or older and admitted to an inpatient rehabilitation unit. Eighteen studies were included. The methodological quality was moderate to good in 15 studies. The factors significantly associated with home discharge are younger age, non-white ethnicity, being married, better functional and cognitive status, and the absence of depression. Because various factors are significantly associated with home discharge of older non-stroke patients after rehabilitation, we recommend assessing these factors at admission to the rehabilitation unit. Further research into the factors that lack sufficient evidence concerning their association with home discharge is recommended.
1 August 2018 in Journal of the American Medical Directors Association
To improve continuity and coordination of care in geriatric rehabilitation, an integrated care pathway was developed and implemented in The Netherlands. The purpose of this study was to assess the effects of this pathway on patients and informal caregivers. Two cohorts of patients and their informal caregivers were prospectively recruited before implementation of the pathway (2011–2012) and after implementation of the pathway (2013–2014). Primary outcome measures were dependence in activities of daily living in patients (KATZ-15) and self-rated burden among informal caregivers (SRB-VAS). Secondary outcome measures were the frequency of performing extended daily activities, social participation, psychological well-being, quality of life and discharge location (patients) and quality of life and objective care burden (informal caregivers). Outcomes were measured at baseline, after three and after nine months. No effect was shown on the KATZ-15 after three and nine months. However, a larger percentage of patients were discharged home in the care pathway cohort (83% vs 58.1% after three months and 88.6% vs 67.4% after nine months; p = 0.004). Furthermore, after three months, patients from the care pathway cohort performed more extended daily activities (p = 0.014) and informal caregivers experienced a lower self-rated burden (p = 0.05). After nine months, these effects disappeared. No differences were found for the other outcome measures. Due to the positive effects of the integrated care pathway, we are inclined to recommend implementing the care pathway in regular care. To have longer lasting effects among patients and informal caregivers, we suggest actively disseminating information about the pathway to primary care providers who are currently still unaware of its content. ISRCTN90000867 (date of registration: 07-04-2016).
Integrated care pathways which cover multiple care settings are increasingly used as a tool to structure care, enhance coordination and improve transitions between care settings. However, little is known about their economic impact. The objective of this study is to determine the cost-effectiveness and cost-utility of an integrated care pathway designed for patients with complex health problems transferring from the hospital, a geriatric rehabilitation facility and primary care. This economic evaluation was performed from a societal perspective alongside a prospective cohort study with two cohorts of patients. The care as usual cohort was included before implementation of the pathway and the care pathway cohort after implementation of the pathway. Both cohorts were measured over nine months, during which intervention costs, healthcare costs, patient and family costs were identified. The outcome measures were dependence in activities of daily living (measured with the KATZ-15) and quality adjusted life years (EQ-5D-3L). Costs and effects were bootstrapped and various sensitivity analyses were performed to assess robustness of the results. After nine months, the average societal costs were significantly lower for patients in the care pathway cohort (€50,791) versus patients in the care as usual cohort (€62,170; CI = -22,090, -988). Patients in the care pathway cohort had better scores on the KATZ-15 (1.04), indicating cost-effectiveness. No significant differences were found between the two groups on QALY scores (0.01). The results of this study indicate that the integrated care pathway is a cost-effective intervention. Therefore, dissemination of the integrated care pathway on a wider scale could be considered. This would provide us the opportunity to confirm the findings of our study in larger economic evaluations. When looking at QALYs, no effects were found. Therefore, it is also recommended to explore if therapy in geriatric rehabilitation could also pay attention to other quality of life-related domains, such as mood and social participation.
An integrated care pathway in geriatric rehabilitation was developed to improve coordination and continuity of care for community-living older adults in the Netherlands, who go through the process of hospital admission, admission to a geriatric rehabilitation facility and discharge back to the home situation. This pathway is a complex intervention and is focused on improving communication, triage and transfers of patients between the hospital, geriatric rehabilitation facility and primary care organisations. A process evaluation was performed to assess the feasibility of this pathway. The study design incorporated mixed methods. Feasibility was assessed thru if the pathway was implemented according to plan (fidelity and dose delivered), (b) if patients, informal caregivers and professionals were satisfied with the pathway (dose received) and (c) which barriers and facilitators influenced implementation (context). These components were derived from the theoretical framework of Saunders and colleagues. Data were collected using three structured face-to-face interviews with patients, self-administered questionnaires among informal caregivers, and group interviews with professionals. Furthermore, data were collected from the information transfer system in the hospital, patient files of the geriatric rehabilitation facility and minutes of evaluation meetings. In total, 113 patients, 37 informal caregivers and 19 healthcare professionals participated in this process evaluation. The pathway was considered largely feasible as two components were fully implemented according to plan and two components were largely implemented according to plan. The timing and quality of medical discharge summaries were not sufficiently implemented according to plan and professionals indicated that the triage instrument needed refinement. Healthcare professionals were satisfied with the implementation of the pathway and they indicated that due to improved collaboration, the quality of care provision improved. Although patients and informal caregivers were also satisfied with the care provision in the pathway, they indicated that the care organisations involved should pay more attention towards providing information about their treatment. This process evaluation showed that patients, informal caregivers and professionals are fairly satisfied with the care provision in the pathway and professionals reported that collaboration improved. Extra attention should be paid to the components in the pathway that were not implemented according to plan. ISRCTN90000867 Registered 7 April 2016.
Background: Comparing inpatient fall rates can serve as a benchmark for quality improvement. To improve the comparability of performance between hospitals, adjustments for patient-related fall risk factors that are not modifiable by care are recommended. Thereafter, the remaining variability in risk-adjusted fall rates can be attributed to differences in quality of care provided by a hospital. Research on risk-adjusted fall rates and their impact on hospital comparisons is currently sparse. Therefore, the aims of this study were to develop an inpatient fall risk adjustment model based on patient-related fall risk factors, and to analyse the impact of applying this model on comparisons of inpatient fall rates in acute care hospitals in Switzerland. Methods: Data on inpatient falls in Swiss acute care hospitals were collected on one day in 2017, 2018 and 2019, as part of an annual multicentre cross-sectional survey. After excluding maternity and outpatient wards, all inpatients older than 18 years were included. Two-level logistic regression models were used to construct unadjusted and risk-adjusted caterpillar plots to compare inter-hospital variability in inpatient fall rates. Results: One hundred thirty eight hospitals and 35,998 patients were included in the analysis. Risk adjustment showed that the following factors were associated with a higher risk of falling: increasing care dependency (to a great extent care dependent, odds ratio 3.43, 95% confidence interval 2.78–4.23), a fall in the last 12 months (OR 2.14, CI 1.89–2.42), the intake of sedative and or psychotropic medications (OR 1.74, CI 1.54–1.98), mental and behavioural disorders (OR 1.55, CI 1.36–1.77) and higher age (OR 1.01, CI 1.01–1.02). With odds ratios between 1.26 and 0.67, eight further ICD-10 diagnosis groups were included. Female sex (OR 0.78, CI 0.70–0.88) and postoperative patients (OR 0.83, CI 0.73–0.95) were associated with a lower risk of falling. Unadjusted caterpillar plots identified 20 low- and 3 high-performing hospitals. After risk adjustment, 2 low-performing hospitals remained. Conclusions: Risk adjustment of inpatient fall rates could reduce misclassification of hospital performance and enables a fairer basis for decision-making and quality improvement measures. Patient-related fall risk factors such as care dependency, history of falls and cognitive impairment should be routinely assessed.