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      Impact of MidMed, a general practitioner-led modified comprehensive geriatric assessment for patients with frailty

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          Abstract

          Introduction

          the identification and management of frailty occurs mostly in primary care. Several different models of care exist. This study aimed to assess the impact of a new General Practitioner (GP)-led modified Comprehensive Geriatric Assessment (CGA) on service delivery, healthcare utilisation and patient outcomes.

          Method

          patients with moderate–severe frailty (electronic Frailty Index score > 0.24) in Newbattle Medical Practice, Scotland, were eligible for a novel intervention (MidMed) in which an additional GP performed a modified CGA and was directly accessible for appointments. The recruits to the intervention (MidMed) group were compared with those waiting to be enrolled (non-MidMed). Outcomes included unscheduled hospital admissions, primary care consultations, continuity of care (Usual Provider of Care (UPC) index), outpatient attendances and mortality. Adjusted rate ratios (aRR), for MidMed compared to non-MidMed, were estimated using regression models adjusting for demographics and healthcare utilisation histories.

          Results

          510 patients were included: 290 MidMed (mean(SD) age 80.1(7.6)years; 59.6% female) and 220 non-MidMed (75.4(8.6)years; 57.7% female). Median follow-up was 396 days. aRR(95%CI) was 0.46(0.30–0.71) for >1 admission, 0.62(0.41–0.95) >1 Emergency Department (ED) attendance and 1.52(1.30–1.75) for use of primary care, with no difference in outpatient appointments or mortality. Continuity of care was better for the MidMed group (MidMed UPC 0.77(SD 0.19), non-MidMed 0.41(0.18), P < 0.001).

          Conclusion

          this GP-led service for frail patients was associated with lower risk of hospital readmission/ED reattendance, greater use of primary care and improved continuity of care. More detailed evaluation of novel primary care frailty services, over longer time-periods, including robust randomised controlled trials, are needed.

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          Most cited references42

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          Frailty in elderly people

          Frailty is the most problematic expression of population ageing. It is a state of vulnerability to poor resolution of homoeostasis after a stressor event and is a consequence of cumulative decline in many physiological systems during a lifetime. This cumulative decline depletes homoeostatic reserves until minor stressor events trigger disproportionate changes in health status. In landmark studies, investigators have developed valid models of frailty and these models have allowed epidemiological investigations that show the association between frailty and adverse health outcomes. We need to develop more efficient methods to detect frailty and measure its severity in routine clinical practice, especially methods that are useful for primary care. Such progress would greatly inform the appropriate selection of elderly people for invasive procedures or drug treatments and would be the basis for a shift in the care of frail elderly people towards more appropriate goal-directed care. Copyright © 2013 Elsevier Ltd. All rights reserved.
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            Development and validation of an electronic frailty index using routine primary care electronic health record data

            Background: frailty is an especially problematic expression of population ageing. International guidelines recommend routine identification of frailty to provide evidence-based treatment, but currently available tools require additional resource. Objectives: to develop and validate an electronic frailty index (eFI) using routinely available primary care electronic health record data. Study design and setting: retrospective cohort study. Development and internal validation cohorts were established using a randomly split sample of the ResearchOne primary care database. External validation cohort established using THIN database. Participants: patients aged 65–95, registered with a ResearchOne or THIN practice on 14 October 2008. Predictors: we constructed the eFI using the cumulative deficit frailty model as our theoretical framework. The eFI score is calculated by the presence or absence of individual deficits as a proportion of the total possible. Categories of fit, mild, moderate and severe frailty were defined using population quartiles. Outcomes: outcomes were 1-, 3- and 5-year mortality, hospitalisation and nursing home admission. Statistical analysis: hazard ratios (HRs) were estimated using bivariate and multivariate Cox regression analyses. Discrimination was assessed using receiver operating characteristic (ROC) curves. Calibration was assessed using pseudo-R 2 estimates. Results: we include data from a total of 931,541 patients. The eFI incorporates 36 deficits constructed using 2,171 CTV3 codes. One-year adjusted HR for mortality was 1.92 (95% CI 1.81–2.04) for mild frailty, 3.10 (95% CI 2.91–3.31) for moderate frailty and 4.52 (95% CI 4.16–4.91) for severe frailty. Corresponding estimates for hospitalisation were 1.93 (95% CI 1.86–2.01), 3.04 (95% CI 2.90–3.19) and 4.73 (95% CI 4.43–5.06) and for nursing home admission were 1.89 (95% CI 1.63–2.15), 3.19 (95% CI 2.73–3.73) and 4.76 (95% CI 3.92–5.77), with good to moderate discrimination but low calibration estimates. Conclusions: the eFI uses routine data to identify older people with mild, moderate and severe frailty, with robust predictive validity for outcomes of mortality, hospitalisation and nursing home admission. Routine implementation of the eFI could enable delivery of evidence-based interventions to improve outcomes for this vulnerable group.
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              Comprehensive geriatric assessment for older adults admitted to hospital

              Comprehensive geriatric assessment (CGA) is a multi‐dimensional, multi‐disciplinary diagnostic and therapeutic process conducted to determine the medical, mental, and functional problems of older people with frailty so that a co‐ordinated and integrated plan for treatment and follow‐up can be developed. This is an update of a previously published Cochrane review. We sought to critically appraise and summarise current evidence on the effectiveness and resource use of CGA for older adults admitted to hospital, and to use these data to estimate its cost‐effectiveness. We searched CENTRAL, MEDLINE, Embase, three other databases, and two trials registers on 5 October 2016; we also checked reference lists and contacted study authors. We included randomised trials that compared inpatient CGA (delivered on geriatric wards or by mobile teams) versus usual care on a general medical ward or on a ward for older people, usually admitted to hospital for acute care or for inpatient rehabilitation after an acute admission. We followed standard methodological procedures expected by Cochrane and Effective Practice and Organisation of Care (EPOC). We used the GRADE approach to assess the certainty of evidence for the most important outcomes. For this update, we requested individual patient data (IPD) from trialists, and we conducted a survey of trialists to obtain details of delivery of CGA. We calculated risk ratios (RRs), mean differences (MDs), or standardised mean differences (SMDs), and combined data using fixed‐effect meta‐analysis. We estimated cost‐effectiveness by comparing inpatient CGA versus hospital admission without CGA in terms of cost per quality‐adjusted life year (QALY) gained, cost per life year (LY) gained, and cost per life year living at home (LYLAH) gained. We included 29 trials recruiting 13,766 participants across nine, mostly high‐income countries. CGA increases the likelihood that patients will be alive and in their own homes at 3 to 12 months' follow‐up (risk ratio (RR) 1.06, 95% confidence interval (CI) 1.01 to 1.10; 16 trials, 6799 participants; high‐certainty evidence), results in little or no difference in mortality at 3 to 12 months' follow‐up (RR 1.00, 95% CI 0.93 to 1.07; 21 trials, 10,023 participants; high‐certainty evidence), decreases the likelihood that patients will be admitted to a nursing home at 3 to 12 months follow‐up (RR 0.80, 95% CI 0.72 to 0.89; 14 trials, 6285 participants; high‐certainty evidence) and results in little or no difference in dependence (RR 0.97, 95% CI 0.89 to 1.04; 14 trials, 6551 participants; high‐certainty evidence). CGA may make little or no difference to cognitive function (SMD ranged from ‐0.22 to 0.35 (5 trials, 3534 participants; low‐certainty evidence)). Mean length of stay ranged from 1.63 days to 40.7 days in the intervention group, and ranged from 1.8 days to 42.8 days in the comparison group. Healthcare costs per participant in the CGA group were on average GBP 234 (95% CI GBP ‐144 to GBP 605) higher than in the usual care group (17 trials, 5303 participants; low‐certainty evidence). CGA may lead to a slight increase in QALYs of 0.012 (95% CI ‐0.024 to 0.048) at GBP 19,802 per QALY gained (3 trials; low‐certainty evidence), a slight increase in LYs of 0.037 (95% CI 0.001 to 0.073), at GBP 6305 per LY gained (4 trials; low‐certainty evidence), and a slight increase in LYLAH of 0.019 (95% CI ‐0.019 to 0.155) at GBP 12,568 per LYLAH gained (2 trials; low‐certainty evidence). The probability that CGA would be cost‐effective at a GBP 20,000 ceiling ratio for QALY, LY, and LYLAH was 0.50, 0.89, and 0.47, respectively (17 trials, 5303 participants; low‐certainty evidence). Older patients are more likely to be alive and in their own homes at follow‐up if they received CGA on admission to hospital. We are uncertain whether data show a difference in effect between wards and teams, as this analysis was underpowered. CGA may lead to a small increase in costs, and evidence for cost‐effectiveness is of low‐certainty due to imprecision and inconsistency among studies. Further research that reports cost estimates that are setting‐specific across different sectors of care are required. What is the aim of this review? The aim of this Cochrane Review was to find out if organised and co‐ordinated specialist care (known as comprehensive geriatric assessment, or CGA) can improve care provided to older people admitted to hospital. Researchers at Cochrane collected and analysed all relevant studies to answer this question and included 29 trials in the review. Key messages Giving older people who are admitted to hospital access to specialist co‐ordinated geriatric assessment (CGA) services on admission to hospital increases the chances that they will be alive in their own homes at follow‐up. What was studied in the review? Older people admitted to hospital may have multiple, complex, and overlapping problems. They are more prone to rapid loss of independence during an acute illness, leading to potential admission to a nursing home. Some of this decline might be avoided if care needs are identified appropriately and if treatment is co‐ordinated and managed. Specialist co‐ordinated care (known as comprehensive geriatric assessment, or CGA) was developed to address medical, social, mental health, and physical needs with the help of a skilled multi‐disciplinary team. The aims are to maximise recovery and to return patients to previous levels of function when possible. In hospital, CGA is carried out on a geriatric ward, or on a general ward that is visited by a specialist geriatric team. What are the main results of the review? Review authors found 29 relevant trials from nine countries that recruited 13,766 people. These studies compared CGA with routine care for patients over 65 who were admitted to hospital. Most trials evaluated CGA that was provided on a specialised hospital ward or across several wards by a mobile team. The review shows that older people who receive CGA rather than routine medical care after admission to hospital are more likely to be living at home and are less likely to be admitted to a nursing home at up to a year after hospital admission. We found no evidence that CGA reduces risk of death during follow‐up at up to a year after admission, and we noted that CGA appeared to make little or no difference in dependence (whether patients need help for everyday activities such as feeding and walking). We found too much variation in cognitive function and length of hospital stay to draw a conclusion. Uncertainty regarding the cost‐effectiveness analysis suggests that further research is needed. How up‐to‐date is this review? Review authors searched for studies that had been published up to 5 October 2016.
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                Author and article information

                Contributors
                Journal
                Age Ageing
                Age Ageing
                ageing
                Age and Ageing
                Oxford University Press
                0002-0729
                1468-2834
                March 2023
                20 March 2023
                20 March 2023
                : 52
                : 3
                : afad006
                Affiliations
                NHS Lothian , Scotland, UK
                Centre for Cardiovascular Science, University of Edinburgh , Scotland, UK
                Ageing and Health Research Group, Usher Institute, University of Edinburgh , Scotland, UK
                Newbattle Medical Practice , Dalkeith, Scotland, UK
                Newbattle Medical Practice , Dalkeith, Scotland, UK
                Centre for Population Health Sciences, Usher Institute, University of Edinburgh , Scotland, UK
                Centre for Population Health Sciences, Usher Institute, University of Edinburgh , Scotland, UK
                Advanced Care Research Centre, Usher Institute University of Edinburgh , Scotland, UK
                Advanced Care Research Centre, Usher Institute University of Edinburgh , Scotland, UK
                Ageing and Health Research Group, Usher Institute, University of Edinburgh , Scotland, UK
                Author notes
                Address correspondence to: Dr Susan D. Shenkin, Ageing and Health Research Group, and Advanced Care Research Centre, Usher Institute, University of Edinburgh, Room F1425B, Royal Infirmary of Edinburgh, EH16 4SB, Scotland, UK. Email: Susan.Shenkin@ 123456ed.ac.uk
                Author information
                https://orcid.org/0000-0002-6428-4554
                https://orcid.org/0000-0001-7375-4776
                Article
                afad006
                10.1093/ageing/afad006
                10032632
                36947740
                ef0965ee-eb8c-481a-a72b-ed31ab2e6929
                © The Author(s) 2023. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 27 September 2022
                : 4 December 2022
                Page count
                Pages: 8
                Funding
                Funded by: Legal & General Group;
                Funded by: Edinburgh Lothian Health Foundation;
                Award ID: S76500
                Categories
                AcademicSubjects/MED00280
                ageing/5
                Research Paper

                Geriatric medicine
                frailty,general practice,comprehensive geriatric assessment (cga),older people

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