A retrospective observational study of enhanced recovery after surgery in older patients undergoing elective colorectal surgery

Enhanced recovery programs (ERPs) in colorectal surgery have demonstrated beneficial effects on postoperative complications, return of bowel function, length of stay, and costs, without increasing readmissions or mortality. However, ERPs were not specifically designed for older patients and feasibility in older patients has been questioned.; The aim of this study was to assess ERP adherence and outcomes in older patients and to identify risk factors for postoperative complications and prolonged length of stay.; Retrospective analysis of consecutive patients (≥70 years) undergoing elective colorectal resection in a tertiary referral hospital in 2017.; Ninety-six patients were included. Adherence rates were above 80% in 18 of 21 ERP interventions considered. The lowest adherence rates were noted for preoperative carbohydrate loading and cessation of intravenous fluids. Postoperative complications (Clavien-Dindo ≥2) and prolonged postoperative length of stay (>75th percentile) were observed in 39.6% and 26.3%, respectively. Median length of stay was 7 days. The 30-day mortality, readmission and reoperation rates were 2.1%, 12.6% and 8.3%, respectively. Multivariable analysis indicated that polypharmacy and site of surgery were independent risk factors for postoperative complications, while higher age, American Society of Anesthesiologists class and preoperative radiotherapy were independent risk factors for prolonged postoperative length of stay.; ERP adherence in older patients undergoing colorectal resection is high and ERP is therefore considered feasible. Postoperative complications and prolonged postoperative length of stay are common, so at risk patients should be targeted with tailored geriatric interventions

Integrated Care Models for Older Adults with Depression and Physical Comorbidity: A Scoping Review

Objective: Multimorbidity is a growing challenge in the care for older people with mental illness. To address both physical and mental illnesses, integrated care management is required. The purpose of this scoping review is to identify core components of integrated care models for older adults with depression and physical comorbidity, and map reported outcomes and implementation strategies. Methods: PubMed, EMBASE, CINAHL and Cochrane Library were searched independently by two reviewers for studies concerning integrated care interventions for older adults with depression and physical comorbidity. We used the SELFIE framework to map core components of integrated care models. Clinical and organisational outcomes were mapped. Results: Thirty-eight studies describing thirteen care models were included. In all care models, a multidisciplinary team was involved. The following core components were mainly described: continuity, person-centredness, tailored holistic assessment, pro-activeness, treatment interaction, individualized care planning, and coordination tailored to complexity of care needs. Twenty-seven different outcomes were evaluated, with more attention given to clinical than to organisational outcomes. Conclusion: The core components that comprise integrated care models are diverse. Future studies should focus more on implementation aspects of the intervention and describe financial parts, e.g., the cost of the intervention for the healthcare user, more transparently

Evaluatie van de interne geriatrische consultfunctie in Belgische Ziekenhuizen

De interne geriatrische consultfunctie in Belgische ziekenhuizen, zo bepaalt het Koninklijk Besluit van 29/01/2007 in verband met het Zorgprogramma voor de geriatrische patiënt, stelt via een multidisciplinair team geriatrische zorg en kunde ter beschikking van geriatrische patiënten op niet-geriatrische diensten. 1 De impact van dergelijke teams op patiëntenuitkomsten blijkt in de internationale literatuur echter weinig onderzocht en is bovendien niet altijd eenduidig. 2 Daarom werd het evalueren van de impact van geriatrische interne liaisonteams in België al snel één van de hot topics in de onderzoekslijn ‘Ouderdomsgebonden zorgmodellen en zorginnovatie’ aan de KU Leuven. De twee belangrijkste studies die in dit kader zijn uitgevoerd en deel uitmaken van het promotieonderzoek van Mieke Deschodt, worden hier kort toegelicht

A multi-level perspective on perceived unmet needs for home support in home-dwelling older adults in the Swiss context: a secondary data analysis of a population study

Unmet needs for home support occur when any support services perceived by older people as needed are not being received. Not meeting these needs can negatively impact older adults' quality of life, and increase health care utilization, hospitalizations, institutionalizations, or death. To date there is no consensus in how to define and assess these unmet needs. In parallel, previous research of factors associated with unmet needs for home support has mostly focused on factors at the micro level. Thus, this paper aims to identify the prevalence of unmet needs for home support among a home-dwelling older population and the factors at the macro, meso and micro levels contributing to them.; Using an ecological approach we identified multi-level factors associated with the presence of unmet needs for home support among the home-dwelling older population (aged 75+) in Switzerland. This is a secondary cross-sectional analysis of the INSPIRE Population Survey of home-dwelling older adults (n = 8,508) living in Basel-Landschaft in Switzerland, conducted as part of the TRANS-SENIOR Project. Prevalence of perceived unmet needs for home support was self-reported, using a dichotomized question. Multiple logistic regression analyses were performed to investigate the associations of factors at each level with unmet needs for home support.; 4.3% of participants reported unmet needs for home support, with a median age of 81 years. 45.1% had private health insurance and 6.3% needed additional government support. Being a recipient of other type of government support (OR = 1.65; 95% CI = 1.17-2.29) (macro-); the use of transportation services (OR = 1.74; 95% CI = 1.15-2.57) (meso-); and feeling depressed (OR = 1.40; 95% CI = 1.06-1.85) or abandoned (OR = 2.60; 95% CI = 1.96-3.43) (micro-) increased odds of having perceived unmet needs for home support. Having a private health insurance (macro-) (OR = 0.63; 95% CI = 0.49-0.80), speaking Swiss-German (OR = 0.44; 95% CI = 0.24-0.88) or German (OR = 0.47; 95% CI = 0.24-0.98), having a high level of education [primary (OR = 0.48; 95% CI = 0.24-1.02); secondary (OR = 0.49; 95% CI = 0.25-1.03); tertiary (OR = 0.38; 95% CI = 0.19-0.82); other (OR = 0.31 (0.12-0.75)], having a high score of self-perceived health status [score ≥ 76 (OR = 0.42; 95% CI = 0.20-0.96)] and having informal care (OR = 0.57; 95% CI = 0.45-0.73), among others (micro-) were associated with decreased odds of having perceived unmet needs for home support.; Our study findings highlight the role of socio-economical inequality in the perception of unmet needs for home support in home-dwelling older adults. In order to address unmet needs in home-dwelling older adults, healthcare leaders and policy makers should focus on strategies to reduce socio-economic inequalities at the different levels in this population

Prediction models for hospital readmissions in patients with heart disease: a systematic review and meta-analysis

Objective: To describe the discrimination and calibration of clinical prediction models, identify characteristics that contribute to better predictions and investigate predictors that are associated with unplanned hospital readmissions. Design: Systematic review and meta-analysis. Data source: Medline, EMBASE, ICTPR (for study protocols) and Web of Science (for conference proceedings) were searched up to 25 August 2020. Eligibility criteria for selecting studies: Studies were eligible if they reported on (1) hospitalised adult patients with acute heart disease; (2) a clinical presentation of prediction models with c-statistic; (3) unplanned hospital readmission within 6 months. Primary and secondary outcome measures: Model discrimination for unplanned hospital readmission within 6 months measured using concordance (c) statistics and model calibration. Meta-regression and subgroup analyses were performed to investigate predefined sources of heterogeneity. Outcome measures from models reported in multiple independent cohorts and similarly defined risk predictors were pooled. Results: Sixty studies describing 81 models were included: 43 models were newly developed, and 38 were externally validated. Included populations were mainly patients with heart failure (HF) (n=29). The average age ranged between 56.5 and 84 years. The incidence of readmission ranged from 3% to 43%. Risk of bias (RoB) was high in almost all studies. The c-statistic was 0.8 in 5 models. The study population, data source and number of predictors were significant moderators for the discrimination. Calibration was reported for 27 models. Only the GRACE (Global Registration of Acute Coronary Events) score had adequate discrimination in independent cohorts (0.78, 95% CI 0.63 to 0.86). Eighteen predictors were pooled. Conclusion: Some promising models require updating and validation before use in clinical practice. The lack of independent validation studies, high RoB and low consistency in measured predictors limit their applicability. Prospero registration number: CRD42020159839. Keywords: adverse events; cardiology; risk management

Protocol for a mixed methods feasibility and implementation study of a community-based integrated care model for home-dwelling older adults: The INSPIRE project

Evaluations of integrated care models for home-dwelling frail older adults have shown inconclusive results on health and service outcomes. However, limited research has focused on the implementation of integrated care models. Applying implementation science methods may facilitate uptake of integrated care models, thus generating positive outcomes e.g., reduced hospital admissions. This paper describes the protocol to assess the feasibility of an integrated care model (featuring a four-step comprehensive geriatric assessment: screening, a multi-dimensional assessment, a coordinated individualized care plan and follow-up) designed for a new community-based center for home-dwelling older adults in Switzerland. The study includes the following objectives: 1) to assess implementation by a) monitoring respondents to the outreach strategies and describing the Center's visitors; b) assessing implementation outcomes related to the care model (i.e., adoption, acceptability, feasibility, fidelity) and implementation processes related to collaboration; and 2) assessing implementation costs.; For objective 1a, we will use a descriptive design to assess respondents to the outreach strategies and describe the Center's visitors. We will use a parallel convergent mixed methods design for objective 1b. Implementation outcomes data will be collected from meetings with the Center's staff, interviews with older adults and their informal caregivers, and reviewing older adults' health records at the Center. Implementation processes related to collaboration will be assessed through a questionnaire to external collaborators (e.g., GPs) towards the end of the study. For objective 2, implementation costs will be calculated using time-driven activity-based costing methods. Data collection is anticipated to occur over approximately six months.; This study of a contextually adapted integrated care model will inform adaptations to the outreach strategies, care model and implementation strategies in one community center, prior to evaluating the care model effectiveness and potentially scaling out the intervention.; Feasibility study registration ID with clinicaltrials.gov: NCT05302310; registration ID with BMC: ISRCTN12324618

The INSPIRE Population Survey: development, dissemination and respondent characteristics

BACKGROUND Most older adults prefer to continue living at home despite increasing care needs and demand for services. To aid in maintaining independence, integrated care models for community-dwelling older people are promoted as the most cost-effective approach. The implementation of such care models is challenging and often the end-users are not involved or their needs are not considered. We conducted a population survey in order to understand the needs and preferences of home-dwelling older adults living in Canton Basel-Landschaft, Switzerland. The aims of this paper are to chronicle the development of the INSPIRE Population Survey, outline its variables and measurements, describe the marketing strategy utilized for survey dissemination and report on the response rate and respondent characteristics. METHODS The INSPIRE Population Survey, conducted between March and August 2019, is a cross-sectional survey of older adults aged 75 and older living at home in Canton Basel-Landschaft. The questionnaire was developed by expert input and stakeholder involvement. Its readability and acceptability were pilot-tested with older people. To ensure the likelihood of a high and representative response rate, a meticulous step-by-step marketing strategy was developed prior to the dissemination of the questionnaire. RESULTS The overall response rate was 30.7% (n = 8,846), with variations between 20.6 and 34.5% across the different care regions in the canton. A generally higher response rate was found in the care regions with a higher density and which bordered the urban city of Basel. We received support from local stakeholders, policy makers and media through using a broad combination of marketing channels and targeting our community partners who have a strong relationship with our target audience. CONCLUSIONS Although recruiting older adults in research is challenging, our study shows that a high response rate can be achieved by developing the survey through expert input and by involving all important stakeholders, including older adults, throughout the entire process

Unplanned readmission prevention by a geriatric emergency network for transitional care (URGENT): a prospective before-after study

URGENT is a comprehensive geriatric assessment (CGA) based nurse-led care model in the emergency department (ED) with geriatric follow-up after ED discharge aiming to prevent unplanned ED readmissions. Methods A quasi-experimental study (sequential design with two cohorts) was conducted in the ED of University Hospitals Leuven (Belgium). Dutch-speaking, community-dwelling ED patients aged 70 years or older were eligible for enrolment. Patients in the control cohort received usual care. Patient in the intervention cohort received the URGENT care model. A geriatric emergency nurse conducted CGA and interdisciplinary care planning among older patients identified as at risk for adverse events (e.g. unplanned ED readmission, functional decline) with the interRAI ED Screener (c) and clinical judgement of ED staff. Case manager follow-up was offered to at risk patients without hospitalization after index ED visit. For inpatients, geriatric follow-up was guaranteed on an acute geriatric ward or by the inpatient geriatric consultation team on a non-geriatric ward if considered necessary. Primary outcome was unplanned 90-day ED readmission. Secondary outcomes were ED length of stay (LOS), hospitalization rate, in-hospital LOS, 90-day higher level of care, 90-day functional decline and 90-day post-hospitalization mortality. Results Almost half of intervention patients (404/886 = 45.6%) were categorized at risk. These received on average seven advices. Adherence rate to advices on the ED, during hospitalization and in community care was 86.1, 74.6 and 34.1%, respectively. One out of four at risk patients without hospitalization after index ED visit accepted case manager follow-up. Unplanned ED readmission occurred in 170 of 768 (22.1%) control patients and in 205 of 857 (23.9%) intervention patients (p = .11). The intervention group had shorter ED LOS (12.7 h versus 19.1 h in the control group; p < .001), but higher rate of hospitalization (70.0% versus 67.0% in the control group; p = .003)

Factors associated with health-related quality of life among home-dwelling older adults aged 75 or older in Switzerland: a cross-sectional study

HRQoL is an indicator of individuals' perception of their overall health, including social and environmental aspects. As a multidimensional concept, HRQoL can be influenced by a multitude of factors. Studies of HRQoL and factors associated with it among home-dwelling older adults have often been limited to inpatient settings or to a sub-population with a chronic disease. Studying HRQoL and its correlating factors among this population, by providing an ecological lens on factors beyond the individual level, can provide a better understanding of the construct and the role of the environment on how they perceive their HRQoL. Thus, we aimed to assess the HRQoL and investigate the correlates of HRQOL among home-dwelling older adults, guided by the levels of the ecological model.; This is a cross-sectional population survey conducted in 2019 in Canton Basel-Landschaft, in northwestern Switzerland, and includes a sample of 8786 home-dwelling older adults aged 75 and above. We assessed HRQoL by using the EQ-index and the EQ-VAS. The influence of independent variables at the macro, meso and micro level on HRQoL was tested using Tobit multiple linear regression modelling.; We found that having a better socio-economic status as denoted by higher income, having supplementary insurance and a higher level of education were all associated with a better HRQoL among home-dwelling older adults. Furthermore, being engaged in social activities was also related to an improved HRQoL. On the other hand, older age, female gender, presence of multimorbidity and polypharmacy as well as social isolation and loneliness were found to all have a negative impact on HRQoL.; Understanding factors related to HRQoL by using an ecological lens can help identify factors beyond the individual level that impact the HRQoL of home-dwelling older adults. Our study emphasises the importance of social determinants of health and potential disparities that exists, encouraging policymakers to focus on policies to reduce socio-economic disparities using a life-course approach, which consequently could also impact HRQoL in later stages of life

Predicting hospitalisation-associated functional decline in older patients admitted to a cardiac care unit with cardiovascular disease: a prospective cohort study

Up to one in three of older patients who are hospitalised develop functional decline, which is associated with sustained disability, institutionalisation and death. This study developed and validated a clinical prediction model that identifies patients who are at risk for functional decline during hospitalisation. The predictive value of the model was compared against three models that were developed for patients admitted to a general medical ward.; A prospective cohort study was performed on two cardiac care units between September 2016 and June 2017. Patients aged 75 years or older were recruited on admission if they were admitted for non-surgical treatment of an acute cardiovascular disease. Hospitalisation-associated functional decline was defined as any decrease on the Katz Index of Activities of Daily Living between hospital admission and discharge. Predictors were selected based on a review of the literature and a prediction score chart was developed based on a multivariate logistic regression model.; A total of 189 patients were recruited and 33% developed functional decline during hospitalisation. A score chart was developed with five predictors that were measured on hospital admission: mobility impairment = 9 points, cognitive impairment = 7 points, loss of appetite = 6 points, depressive symptoms = 5 points, use of physical restraints or having an indwelling urinary catheter = 5 points. The score chart of the developed model demonstrated good calibration and discriminated adequately (C-index = 0.75, 95% CI (0.68-0.83) and better between patients with and without functional decline (chi; 2; = 12.8, p = 0.005) than the three previously developed models (range of C-index = 0.65-0.68).; Functional decline is a prevalent complication and can be adequately predicted on hospital admission. A score chart can be used in clinical practice to identify patients who could benefit from preventive interventions. Independent external validation is needed