Structured decision support to prevent hospitalisations of community-dwelling older adults in Denmark (PATINA): an open-label, stepped-wedge, cluster-randomised controlled trial.

BACKGROUND: Ageing populations and health-care staff shortages encourage efforts in primary care to recognise and prevent health deterioration and acute hospitalisation in community-dwelling older adults. The PATINA algorithm and decision-support tool alerts home-based-care nurses to older adults at risk of hospitalisation. The study aim was to test whether use of the PATINA tool was associated with changes in health-care use. METHODS: An open-label, stepped-wedge, cluster-randomised controlled trial was done in three Danish municipalities, covering 20 area teams providing home-based care to around 7000 recipients. During a period of 12 months, area teams were randomly assigned to an intervention crossover for older adults (aged 65 years or older) who received care at home. The primary outcome was hospitalisation within 30 days of identification by the algorithm as being at risk of hospitalisation. Secondary outcomes were hospital readmission and other hospital contacts, outpatient contacts, contact with primary care physicians (PCPs), temporary care, and death, within 30 days of identification. This study was registered at ClinicalTrials.gov (NTC04398797). FINDINGS: In total, 2464 older adults participated in the study: 1216 (49·4%) in the control phase and 1248 (50·6%) in the intervention phase. In the control phase, 102 individuals were hospitalised within 30 days during 33 943 days of risk (incidence 0·09 per 30 days), compared with 118 individuals within 34 843 days of risk (0·10 per 30 days) during the intervention phase. The intervention was not associated with a reduction in the number of first hospitalisations within 30 days (incidence rate ratio [IRR] 1·10 [90% CI 0·90-1·40]; p=0·28). Furthermore it was not associated with reduced rates of other hospital contacts (IRR 1·10 [95% CI 0·90-1·40]; p=0·28), outpatient contacts (1·10 [0·88-1·40]; p=0·42), or mortality (0·82 [0·58-1·20]; p=0·25). The intervention was associated with a 59% reduction in readmissions within 30 days of hospital discharge (IRR 0·41 [95% CI 0·24-0·68]; p=0·0007), a 140% increase in contacts with PCPs (2·40 [1·18-3·20]; p<0·0001), and a 150% increase in use of temporary care (2·50 [1·40-4·70]; p=0·0027). INTERPRETATION: Despite having no effect on the primary outcome, the PATINA tool showed other benefits for older adults receiving home-based care. Such algorithms have the potential to shift health-care use from secondary to primary care but need to be tested in other home-based care settings. Implementation of algorithms in clinical practice should be informed by analysis of cost-effectiveness and potential harms as well as the benefits. FUNDING: Innovation Fund Denmark and Region of Southern Denmark. TRANSLATIONS: For the Danish, French and German translations of the abstract see Supplementary Materials section.

Conceptual framework for acute community health care services - Illustrated by assessing the development of services in Denmark.

Acute community health care services can support continuity of care by acting as a bridge between the primary and secondary health care sectors in the early detection of acute disease and provision of treatment and care. Although acute community health care services are a political priority in many countries, the literature on their organization and effect is limited. We present a conceptual framework for describing acute community health care services that can be used to support the policies and guidelines for such services. For illustrative purposes, we apply the framework to the Danish acute community health care services using implementation data from 2020 and identify gaps and opportunities for learning. The framework identifies two key pairs of dimensions: (1) capacity & capability, and (2) coordination & collaboration. These dimensions, together with the governance structure and quality assurance initiatives, are of key importance to the effect of acute community health care services. While all Danish municipalities have implemented acute community health care services, application of the framework indicates considerable variation in their approaches. The conceptual framework provides a systematic approach supporting the development, implementation, evaluation, and monitoring of acute community health care services and can assist policymakers at both national and local levels in this work.

Prognosis for older people at presentation to emergency department based on frailty and aggregated vital signs.

BACKGROUND: Risk stratification for older people based on aggregated vital signs lack the accuracy to predict mortality at presentation to the Emergency Department (ED). We aimed to develop and internally validate the Frailty adjusted Prognosis in ED tool (FaP-ED) for 30-day mortality combining frailty and aggregated vital signs. METHODS: Single-center prospective cohort of undifferentiated ED patients aged 65 or older, consecutively sampled upon ED presentation from a tertiary Emergency Center. Vital signs were aggregated using the National Early Warning Score (NEWS) as a measure of illness or injury severity and frailty was assessed with the Clinical Frailty Scale (CFS). The FaP-ED was constructed by combining NEWS and CFS in multivariable logistic regression. The primary outcome was 30-day mortality. Measures of discrimination and calibration were assessed to evaluate predictive performance and internally validated using bootstrapping. RESULTS: 2250 patients were included, 67 (1.8%) were omitted from analyses due to missing CFS, loss to follow-up, or terminal illness. Thirty-day mortality rate was 5.4% (N = 122, 95% CI = 4.5%-6.4%). Median NEWS was 1 (Inter-Quartile Range (IQR): 0-3) and median CFS was 4 (IQR: 3-5). The Area Under Receiver Operating Characteristic (AUROC) for FaP-ED was 0.86 (95% CI = 0.83-0.90). This was significantly higher than NEWS (0.81, 95% CI = 0.77-0.85, DeLong: Z = 3.5, p < 0.001) or CFS alone (0.82, 95% CI = 0.78-0.86, DeLong: Z = 4.4, p < 0.001). Bootstrapped estimates of FaP-ED AUROC, calibration slope, and intercept were 0.86, 0.95, and -0.09, respectively, suggesting internal validity. A decision-threshold of CFS 5 and NEWS 3 was proposed based on qualitative comparison of positive Likelihood Ratio at all relevant FaP-ED cutoffs. CONCLUSION: Combining aggregated vital signs and frailty accurately predicted 30-day mortality at ED presentation and illustrated an important clinical interaction between frailty and illness severity. Pending external validation, the Fap-ED operationalizes the concept of such "geriatric urgency" for the ED setting.

Biomarkers as point-of-care tests to guide prescription of antibiotics in people with acute respiratory infections in primary care.

BACKGROUND: Acute respiratory infections (ARIs) are by far the most common reason for prescribing an antibiotic in primary care, even though the majority of ARIs are of viral or non-severe bacterial aetiology. It follows that in many cases antibiotic use will not be beneficial to a patient's recovery but may expose them to potential side effects. Furthermore, limiting unnecessary antibiotic use is a key factor in controlling antibiotic resistance. One strategy to reduce antibiotic use in primary care is point-of-care biomarkers. A point-of-care biomarker (test) of inflammation identifies part of the acute phase response to tissue injury regardless of the aetiology (infection, trauma, or inflammation) and may be used as a surrogate marker of infection, potentially assisting the physician in the clinical decision whether to use an antibiotic to treat ARIs. Biomarkers may guide antibiotic prescription by ruling out a serious bacterial infection and help identify patients in whom no benefit from antibiotic treatment can be anticipated. This is an update of a Cochrane Review first published in 2014. OBJECTIVES: To assess the benefits and harms of point-of-care biomarker tests of inflammation to guide antibiotic treatment in people presenting with symptoms of acute respiratory infections in primary care settings regardless of patient age. SEARCH METHODS: We searched CENTRAL (2022, Issue 6), MEDLINE (1946 to 14 June 2022), Embase (1974 to 14 June 2022), CINAHL (1981 to 14 June 2022), Web of Science (1955 to 14 June 2022), and LILACS (1982 to 14 June 2022). We also searched three trial registries (10 December 2021) for completed and ongoing trials. SELECTION CRITERIA: We included randomised controlled trials (RCTs) in primary care patients with ARIs that compared the use of point-of-care biomarkers with standard care. We included trials that randomised individual participants, as well as trials that randomised clusters of patients (cluster-RCTs). DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data on the following primary outcomes: number of participants given an antibiotic prescription at index consultation and within 28 days follow-up; participant recovery within seven days follow-up; and total mortality within 28 days follow-up. We assessed risk of bias using the Cochrane risk of bias tool and the certainty of the evidence using GRADE. We used random-effects meta-analyses when feasible. We further analysed results with considerable heterogeneity in prespecified subgroups of individual and cluster-RCTs. MAIN RESULTS: We included seven new trials in this update, for a total of 13 included trials. Twelve trials (10,218 participants in total, 2335 of which were children) evaluated a C-reactive protein point-of-care test, and one trial (317 adult participants) evaluated a procalcitonin point-of-care test. The studies were conducted in Europe, Russia, and Asia. Overall, the included trials had a low or unclear risk of bias. However all studies were open-labelled, thereby introducing high risk of bias due to lack of blinding. The use of C-reactive protein point-of-care tests to guide antibiotic prescription likely reduces the number of participants given an antibiotic prescription, from 516 prescriptions of antibiotics per 1000 participants in the control group to 397 prescriptions of antibiotics per 1000 participants in the intervention group (risk ratio (RR) 0.77, 95% confidence interval (CI) 0.69 to 0.86; 12 trials, 10,218 participants; I² = 79%; moderate-certainty evidence).  Overall, use of C-reactive protein tests also reduce the number of participants given an antibiotic prescription within 28 days follow-up (664 prescriptions of antibiotics per 1000 participants in the control group versus 538 prescriptions of antibiotics per 1000 participants in the intervention group) (RR 0.81, 95% CI 0.76 to 0.86; 7 trials, 5091 participants; I² = 29; high-certainty evidence). The prescription of antibiotics as guided by C-reactive protein tests likely does not reduce the number of participants recovered, within seven or 28 days follow-up (567 participants recovered within seven days follow-up per 1000 participants in the control group versus 584 participants recovered within seven days follow-up per 1000 participants in the intervention group) (recovery within seven days follow-up: RR 1.03, 95% CI 0.96 to 1.12; I² = 0%; moderate-certainty evidence) (recovery within 28 days follow-up: RR 1.02, 95% CI 0.79 to 1.32; I² = 0%; moderate-certainty evidence). The use of C-reactive protein tests may not increase total mortality within 28 days follow-up, from 1 death per 1000 participants in the control group to 0 deaths per 1000 participants in the intervention group (RR 0.53, 95% CI 0.10 to 2.92; I² = 0%; low-certainty evidence). We are uncertain as to whether procalcitonin affects any of the primary or secondary outcomes because there were few participants, thereby limiting the certainty of evidence. We assessed the certainty of the evidence as moderate to high according to GRADE for the primary outcomes for C-reactive protein test, except for mortality, as there were very few deaths, thereby limiting the certainty of the evidence. AUTHORS' CONCLUSIONS: The use of C-reactive protein point-of-care tests as an adjunct to standard care likely reduces the number of participants given an antibiotic prescription in primary care patients who present with symptoms of acute respiratory infection. The use of C-reactive protein point-of-care tests likely does not affect recovery rates. It is unlikely that further research will substantially change our conclusion regarding the reduction in number of participants given an antibiotic prescription, although the size of the estimated effect may change.  The use of C-reactive protein point-of-care tests may not increase mortality within 28 days follow-up, but there were very few events. Studies that recorded deaths and hospital admissions were performed in children from low- and middle-income countries and older adults with comorbidities.  Future studies should focus on children, immunocompromised individuals, and people aged 80 years and above with comorbidities. More studies evaluating procalcitonin and potential new biomarkers as point-of-care tests used in primary care to guide antibiotic prescription are needed.  Furthermore, studies are needed to validate C-reactive protein decision algorithms, with a specific focus on potential age group differences.

Does geriatric follow-up visits reduce hospital readmission among older patients discharged to temporary care at a skilled nursing facility: a before-and-after cohort study.

INTRODUCTION: Hospital readmission is a burden to patients, relatives and society. Older patients with frailty are at highest risk of readmission and its negative outcomes. OBJECTIVE: We aimed at examining whether follow-up visits by an outgoing multidisciplinary geriatric team (OGT) reduces unplanned hospital readmission in patients discharged to a skilled nursing facility (SNF). DESIGN: A retrospective single-centre before-and-after cohort study. SETTING AND PARTICIPANTS: Study population included all hospitalised patients discharged from a Danish geriatric department to an SNF during 1 January 2016-25 February 2020. To address potential changes in discharge and readmission patterns during the study period, patients discharged from the same geriatric department to own home were also assessed. INTERVENTION: OGT visits at SNF within 7 days following discharge. Patients discharged to SNF before 12 March 2018 did not receive OGT (-OGT). Patients discharged to SNF on or after 12 March 2018 received the intervention (+OGT). MAIN OUTCOME MEASURES: Unplanned hospital readmission between 4 hours and 30 days following initial discharge. RESULTS: Totally 847 patients were included (440 -OGT; 407 +OGT). No differences were seen between the two groups regarding age, sex, activities of daily living (ADLs), Charlson Comorbidity Index (CCI) or 30-day mortality. The cumulative incidence of readmission was 39.8% (95% CI 35.2% to 44.8%, n=162) in -OGT and 30.2% (95% CI 25.8% to 35.2%, n=113) in +OGT. The unadjusted risk (HR (95% CI)) of readmission was 0.68 (0.54 to 0.87, p=0.002) in +OGT compared with -OGT, and remained significantly lower (0.72 (0.57 to 0.93, p=0.011)) adjusting for age, length of stay, sex, ADL and CCI. For patients discharged to own home the risk of readmission remained unchanged during the study period. CONCLUSION: Follow-up visits by OGT to patients discharged to temporary care at an SNF significantly reduced 30-day readmission in older patients.

Translation of the updated clinical frailty scale 2.0 into Danish and implications for cross-sectoral reliability.

The Clinical Frailty Scale, which provides a common language about frailty, was recently updated to version 2.0 to cater for its increased use in areas of medicine usually involved in the care and treatment of older patients. We have previously translated the Clinical Frailty Scale 1.2 into Danish and found inter-rater-reliability to be excellent for primary care physicians, community nurses, and hospital doctors often involved in cross-sectoral collaborations. In this correspondence we present the Danish translation and cultural adaption of the Clinical Frailty Scale 2.0. Our recent findings on cross-sectoral inter-rater reliability for the Clinical Frailty Scale 1.2 are likely also applicable for the Clinical Frailty Scale 2.0.

Prevention of AcuTe admIssioN algorithm (PATINA): study protocol of a stepped wedge randomized controlled trial.

BACKGROUND: The challenges imposed by ageing populations will confront health care systems in the years to come. Hospital owners are concerned about the increasing number of acute admissions of older citizens and preventive measures such as integrated care models have been introduced in primary care. Yet, acute admission can be appropriate and lifesaving, but may also in itself lead to adverse health outcome, such as patient anxiety, functional loss and hospital-acquired infections. Timely identification of older citizens at increased risk of acute admission is therefore needed. We present the protocol for the PATINA study, which aims at assessing the effect of the 'PATINA algorithm and decision support tool', designed to alert community nurses of older citizens showing subtle signs of declining health and at increased risk of acute admission. This paper describes the methods, design and intervention of the study. METHODS: We use a stepped-wedge cluster randomized controlled trial (SW-RCT). The PATINA algorithm and decision support tool will be implemented in 20 individual area home care teams across three Danish municipalities (Kerteminde, Odense and Svendborg). The study population includes all home care receiving community-dwelling citizens aged 65 years and above (around 6500 citizens). An algorithm based on home care use triggers an alert based on relative increase in home care use. Community nurses will use the decision support tool to systematically assess health related changes for citizens with increased risk of acute hospital admission. The primary outcome is acute admission. Secondary outcomes are readmissions, preventable admissions, death, and costs of health care utilization. Barriers and facilitators for community nurse's acceptance and use of the algorithm will be explored too. DISCUSSION: This 'PATINA algorithm and decision support tool' is expected to positively influence the care for older community-dwelling citizens, by improving nurses' awareness of citizens at increased risk, and by supporting their clinical decision-making. This may increase preventive measures in primary care and reduce use of secondary health care. Further, the study will increase our knowledge of barriers and facilitators to implementing algorithms and decision support in a community care setup. TRIAL REGISTRATION: ClinicalTrials.gov , identifier: NCT04398797 . Registered 13 May 2020.

Cross-sectoral inter-rater reliability of the clinical frailty scale - a Danish translation and validation study.

BACKGROUND: Focus on frailty status has become increasingly important when determining care plans within and across health care sectors. A standardized frailty measure applicable for both primary and secondary health care sectors is needed to provide a common reference point. The aim of this study was to translate the Clinical Frailty Scale (CFS) into Danish (CFS-DK) and test inter-rater reliability for key health care professionals in the primary and secondary sectors using the CFS-DK. METHODS: The Clinical Frailty Scale was translated into Danish using the ISPOR principles for translation and cultural adaptation that included forward and back translation, review by the original developer, and cognitive debriefing. For the validation exercise, 40 participants were asked to rate 15 clinical case vignettes using the CFS-DK. The raters were distributed across several health care professions: primary care physicians (n = 10), community nurses (n = 10), hospital doctors from internal medicine (n = 10) and intensive care (n = 10). Inter-rater reliability was assessed using intraclass correlation coefficients (ICC), and sensitivity analysis was performed using multilevel random effects linear regression. RESULTS: The Clinical Frailty Scale was translated and culturally adapted into Danish and is presented in this paper in its final form. Inter-rater reliability in the four professional groups ranged from ICC 0.81 to 0.90. Sensitivity analysis showed no significant impact of professional group or length of clinical experience. The health care professionals considered the CFS-DK to be relevant for their own area of work and for cross-sectoral collaboration. CONCLUSION: The Clinical Frailty Scale was translated and culturally adapted into Danish. The inter-rater reliability was high in all four groups of health care professionals involved in cross-sectoral collaborations. However, the use of case vignettes may reduce the generalizability of the reliability findings to real-life settings. The CFS has the potential to serve as a common reference tool when treating and rehabilitating older patients.

How to measure energy and protein intake in a geriatric department - A comparison of three visual methods.

BACKGROUND & AIMS: Sufficient energy and protein intake are essential to treatment and recovery of hospitalized older adults. The food intake should be assessed in order to detect patients in need of nutritional intervention. The aim of this study was to compare the accuracy of three visual methods for assessing energy and protein intake as compared to weighing food items. METHODS: We conducted assessment of 103 lunch meals served to geriatric inpatients. Lunch meals were assessed by the nursing staff using three visual methods: 1. Meal Portions (MP): Consumption of each meat/fish, vegetables, potatoes, and sauce 2. Plate Method (PM): Consumption of 100%, 75%, 50%, 25%, or 0% 3. Reduced Plate Method (RPM): All, half, quarter, or nothing Separate weighing of all food items pre- and post-serving was used as reference method. Wilcoxon Signed Rank Test was used comparing the accuracy of the three visual methods. Bland-Altman analysis was used to test the degree of agreement. Results are given as median estimates [25%>, 75%> percentiles]. The Alpha level was set to 0.05. RESULTS: The total energy served pr. lunch meal was 893.6 kJ [830.4, 1034.3] and the weighed intake 676.6 kJ [421.4, 870.0]. The median intake was 663.0 kJ [389.0, 873.0] (p = 0.044), 636.0 kJ [436.5, 873.0] (p < 0.001), and 487.8 kJ [316.5, 873.0] (p < 0.001) assessed by MP, PM, and RPM respectively. The weighted protein content pr. served meal was 13.0 g [11.4, 15.4] with a weighted intake of 10.3 g [5.3, 13.1]. The median intake was 10.7 g [5.3, 11.7] (P = 0.045), 9.3 g [5.8, 11.7] (p < 0.001), and 8.0 g [4.8, 11.7] (p < 0.001) assessed by MP, PM, and RPM respectively. CONCLUSIONS: All visual methods underestimated energy intake. PM and RPM underestimated protein intake whereas MP overestimated protein intake. However, visual assessment by MP was found to be most accurate.

User Fees in General Practice: Willingness to Pay and Potential Substitution Patterns-Results from a Danish GP Patient Survey.

BACKGROUND: Increases in public expenditures to general practitioner (GP) services and specialist care have spurred debate over whether to implement user fees for healthcare services such as GP consultations in Denmark. OBJECTIVE: The objective of this study was to examine Danish patients' attitudes towards user fees and their willingness to pay (WTP) for a consultation, and to investigate how user charges may impact patients' behaviour. METHODS: A questionnaire survey was conducted in a GP clinic. RESULTS: A total of 343 individual persons answered the questionnaire. One hundred and seventy (50%) persons were not willing to pay for a consultation. Among patients reporting positive WTP values, the mean WTP was 137 (standard deviation 140) Danish kroner (DKK). Patients who were 65 years old or older were more likely to be willing to pay for a GP consultation than patients under the age of 65 years. Furthermore, patients with a personal annual income of more than 200,000 DKK were more likely to be willing to pay for a consultation than other income groups. With respect to patients with a positive WTP value, their own assessment of the seriousness of the consultation and their self-assessed health influenced the amount they would be willing to pay. Finally, we observed a stated willingness to substitute GP consultations with alternatives that are free of charge. CONCLUSION: About half of the patients with an appointment for a GP consultation are willing to pay for the consultation. User charges may potentially influence the patients' behaviour. ClinicalTrials.gov NCT01784731.

Stroke Risk Perception in Atrial Fibrillation Patients is not Associated with Clinical Stroke Risk.

BACKGROUND: Clinical risk stratification models, such as the CHA2DS2-VASc, are used to assess stroke risk in atrial fibrillation (AF) patients. No study has yet investigated whether and to which extent these patients have a realistic perception of their personal stroke risk. The purpose of this study was to investigate and describe the association between AF patients' stroke risk perception and clinical stroke risk. METHODS: In an observational cross-sectional study design, we surveyed 178 AF patients with a mean age of 70.6 years (SD 8.3) in stable anticoagulant treatment (65% treatment duration >12 months). Clinical stroke risk was scored through the CHA2DS2-VASc, and patients rated their perceived personal stroke risk on a 7-point Likert scale. RESULTS: There was no significant association between clinical stroke risk assessment and patients' stroke risk perception (rho = .025; P = .741). Approximately 60% of the high-risk patients had an unrealistic perception of their own stroke risk, and there was no significant increase in risk perception from those with a lower compared with a higher risk factor load (χ(2) = .010; P = .522). CONCLUSIONS: Considering possible negative implications in terms of lack of motivation for lifestyle behavior change and adequate adherence to the treatment and monitoring of vitamin K antagonist, the apparent underestimation of risk by large subgroups warrants attention and needs further investigation with regard to possible behavioral consequences.