Background and Purpose: Conditions associated with frailty are common in people experiencing stroke and may explain differences in outcomes. We assessed associations between a published, generic frailty risk score, derived from administrative data, and patient outcomes following stroke/transient ischemic attack; and its accuracy for stroke in predicting mortality compared with other measures of clinical status using coded data. Methods: Patient-level data from the Australian Stroke Clinical Registry (2009–2013) were linked with hospital admissions data. We used International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes with a 5-year look-back period to calculate the Hospital Frailty Risk Score (termed Frailty Score hereafter) and summarized results into 4 groups: no-risk (0), low-risk (1–5), intermediate-risk (5–15), and high-risk (>15). Multilevel models, accounting for hospital clustering, were used to assess associations between the Frailty Score and outcomes, including mortality (Cox regression) and readmissions up to 90 days, prolonged acute length of stay (>20 days; logistic regression), and health-related quality of life at 90 to 180 days (quantile regression). The performance of the Frailty Score was then compared with the Charlson and Elixhauser Indices using multiple tests (eg, C statistics) for predicting 30-day mortality. Models were adjusted for covariates including sociodemographics and stroke-related factors. Results: Among 15 468 adult patients, 15% died ≤90 days. The frailty scores were 9% no risk; 23% low, 45% intermediate, and 22% high. A 1-point increase in frailty (continuous variable) was associated with greater length of stay (OR adjusted , 1.05 [95% CI, 1.04 to 1.06), 90-day mortality (HR adjusted , 1.04 [95% CI, 1.03 to 1.05]), readmissions (OR adjusted , 1.02 [95% CI, 1.02 to 1.03]; and worse health-related quality of life (median difference, −0.010 [95% CI −0.012 to −0.010]). Adjusting for the Frailty Score provided a slightly better explanation of 30-day mortality (eg, larger C statistics) compared with other indices. Conclusions: Greater frailty was associated with worse outcomes following stroke/transient ischemic attack. The Frailty Score provides equivalent precision compared with the Charlson and Elixhauser indices for assessing risk-adjusted outcomes following stroke/transient ischemic attack.
ObjectivesTo assess the feasibility and acceptability of facilitated advance care planning (ACP) discussions in elderly Italian and Greek-speaking inpatients compared to English-speaking inpatients.Design, setting and participantsThis cross-sectional study with convenience sampling was conducted in Melbourne, Australia, and recruited hospital inpatients with medical decision-making capacity, aged 65 years or above, who spoke Greek (25 patients), Italian (24 patients) or English (63 patients).InterventionFacilitated ACP was offered, aiming to assists patients to consider and discuss their goals, values, beliefs and future treatment wishes with their family and doctor; to help them consider how they would like healthcare decisions made in the future if they become unable to do this for themselves; and to complete advance care directives.Main outcome measuresThe completion of ACP discussions, their duration, advance care directive completion and utilisation of interpreters.ResultsOf 112 patients, 109 (97%) had at least one discussion, 63 (54%) completed advance care directives, either nominating a substitute decision-maker, documenting their wishes or both, and 76 (68%) included family in discussions. The median duration of discussions for all patients was slightly more than 1 h, over two visits. There were no differences between the Greek-speaking and the Italian-speaking patients, or between the Non-English speaking and the English-speaking patients in any of these measures. Only 14 non-English speaking patients, (30%) utilised interpreters, but when utilised, patients were much more likely (p<0.005) to complete advance care directives.ConclusionsFacilitated ACP in elderly Italian and Greek-speaking patients is feasible, acceptable and is similar to that for English-speaking patients.
Background Dementia was identified as a priority area for the development of a Clinical Quality Registry (CQR) in Australia in 2016. The Australian Dementia Network (ADNeT) Registry is being established as part of the ADNeT initiative, with the primary objective of collecting data to monitor and enhance the quality of care and patient outcomes for people diagnosed with either dementia or Mild Cognitive Impairment (MCI). A secondary aim is to facilitate the recruitment of participants into dementia research and trials. This paper describes the Registry protocol. Methods The ADNeT Registry is a prospective CQR of patients newly diagnosed with either dementia or MCI. Eligible patients will be identified initially from memory clinics and individual medical specialists (e.g., geriatricians, psychiatrists and neurologists) involved in the diagnosis of dementia. Participants will be recruited using either an opt-out approach or waiver of consent based on three key determinants (capacity, person responsible, and communication of diagnosis). Data will be collected from four sources: participating sites, registry participants, carers, and linkage with administrative datasets. It is anticipated that the Registry will recruit approximately 10,000 participants by the end of 2023. The ADNeT registry will be developed and implemented to comply with the national operating principles for CQRs and governed by the ADNeT Registry Steering Committee. Discussion The ADNeT Registry will provide important data on current clinical practice in the diagnosis, treatment and care of people with dementia and MCI in Australia as well as long-term outcomes among these people. These data will help to identify variations in clinical practice and patient outcomes and reasons underlying these variations, which in turn, will inform the development of interventions to improve care and outcomes for people with dementia and MCI.
Background: Studies related to clinical quality indicators (CQIs) in dementia have focused on hospitalizations, medication management, and safety. Less attention has been paid to indicators related to primary and secondary care. Objective: To evaluate the incidence of primary and secondary care CQIs for Australians with dementia using government-subsidized aged care. The examined CQIs were: comprehensive medication reviews, 75+ health assessments, comprehensive geriatric assessments, chronic disease management plans, general practitioner (GP) mental health treatment plans, and psychiatrist attendances. Methods: Retrospective cohort study (2011–2016) of 255,458 individuals. National trend analyses estimated incidence rates and 95% confidence intervals (CI) using Poisson or negative binomial regression. Associations were assessed using backward stepwise multivariate Poisson or negative binomial regression model, as appropriate. Funnel plots examined geographic and PRAC facility variation. Results: CQI incidence increased in all CQIs but medication reviews. For the overall cohort, 75+ health assessments increased from 1.07/1000 person-days to 1.16/1000 person-days (adjusted incidence rate ratio (aIRR) = 1.03, 95% CI 1.02–1.03).Comprehensive geriatric assessments increased from 0.24 to 0.37/1000 person-days (aIRR = 1.12, 95% CI 1.10–1.14). GP mental health treatment plans increased from 1.30 to 2.1/1000 person-days (aIRR = 1.13, 95% CI 1.12–1.15). Psychiatric attendances increased from 0.09 to 0.11/1000 person-days (aIRR = 1.05, 95% CI 1.03–1.07). Being female, older, having fewer comorbidities, and living outside a major city were associated with lower likelihood of using the services. Large geographical and facility variation was observed (0–92%). Conclusion: Better use of primary and secondary care services to address needs of individuals with dementia is urgently needed.
Background Research indicates that renal patients are uninformed about care options and have limited knowledge about illness prognosis and trajectories. Accordingly, facilitated Advance Care Planning (ACP) was introduced to the renal unit at the Austin Hospital in 2010. Aim To evaluate the impact of the introduction of ACP to the Austin Hospital renal unit. Methods Audit of medical records for (1) 58 patients who received ACP (2010-2012) (2) 58 age and gender matched control patients (2007-2009). Results The rate of withdrawal from dialysis was significantly higher in the implementation group (IG) (p=0.022), as was the involvement of the patient or family in the decision to withdraw dialysis (p=0.001). Medical decisions to withdraw dialysis was equal between groups (p>0.05) More ACP documents were completed in the IG (MEPOA=67%, SOC=27%, RTC=17%) compared to the control group (MEPOA=5%, SOC=10%, RTC=2%). Significantly more wishes were correctly documented in the IG (p<0.001) and more changes to patient management ACPEL abstracts 246
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