Dataset Information

Emergency department transfers from residential aged care: what can we learn from secondary qualitative analysis of Australian Royal Commission data?

ABSTRACT:

Objectives

To use publicly available submissions and evidence from the Australian Royal Commission into Aged Care Quality and Safety as data for secondary qualitative analysis. By investigating the topic of emergency department transfer from the perspective of residents, family members and healthcare professionals, we aimed to identify modifiable factors to reduce transfer rates and improve quality of care.

Design

The Australian Royal Commission into Aged Care Quality and Safety has made over 7000 documents publicly available. We used the documents as a large data corpus from which we extracted a data set specific to our topic using keywords. The analysis focused on submissions and hearing transcripts (including exhibits). Qualitative thematic analysis was used to interrogate the text to determine what could be learnt about transfer events from a scholarly perspective.

Results

Three overarching themes were identified: shortfalls and failings, reluctance and misunderstanding, and discovery and exposure.

Conclusions

The results speak to workforce inadequacies that have been central to problems in the Australian aged care sector to date. We identified issues around clinical and pain assessment, lack of consideration to advance care directives and poor communication among all parties. We also highlighted the role that emergency departments play in identifying unmet clinical needs, substandard care and neglect. Given the inadequate clinical care available in some residential aged care facilities, transferring residents to a hospital emergency department may be making the best of a bad situation. If the objective of reducing unnecessary transfers to emergency departments is to be achieved, then access to appropriate clinical care is the first step.

SUBMITTER: Cain P

PROVIDER: S-EPMC9490620 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Publications

Emergency department transfers from residential aged care: what can we learn from secondary qualitative analysis of Australian Royal Commission data?

Cain Patricia P Alan Janine J Porock Davina D

BMJ open 20220920 9

<h4>Objectives</h4>To use publicly available submissions and evidence from the Australian Royal Commission into Aged Care Quality and Safety as data for secondary qualitative analysis. By investigating the topic of emergency department transfer from the perspective of residents, family members and healthcare professionals, we aimed to identify modifiable factors to reduce transfer rates and improve quality of care.<h4>Design</h4>The Australian Royal Commission into Aged Care Quality and Safety h ...[more]

PMID: 36127100

Similar Datasets

Project description:ObjectiveTo examine racial/ethnic differences in emergency department (ED) transfers to public hospitals and factors explaining these differences.Data sources and study settingED and inpatient data from the Healthcare Cost and Utilization Project for Florida (2010-2019); American Hospital Association Annual Survey (2009-2018).Study designLogistic regression examined race/ethnicity and payer on the likelihood of transfer to a public hospital among transferred ED patients. The base model was controlled for patient and hospital characteristics and year fixed effects. Models II and III added urbanicity and hospital referral region (HRR), respectively. Model IV used hospital fixed effects, which compares patients within the same hospital. Models V and VI stratified Model IV by payer and condition, respectively. Conditions were classified as emergency care sensitive conditions (ECSCs), where transfer is protocolized, and non-ECSCs. We reported marginal effects at the means.Data collection/extraction methodsWe examined 1,265,588 adult ED patients transferred from 187 hospitals.Principal findingsBlack patients were more likely to be transferred to public hospitals compared with White patients in all models except ECSC patients within the same initial hospital (except trauma). Black patients were 0.5-1.3 percentage points (pp) more likely to be transferred to public hospitals than White patients in the same hospital with the same payer. In the base model, Hispanic patients were more likely to be transferred to public hospitals compared with White patients, but this difference reversed after controlling for HRR. Hispanic patients were - 0.6 pp to -1.2 pp less likely to be transferred to public hospitals than White patients in the same hospital with the same payer.ConclusionsLarge population-level differences in whether ED patients of different races/ethnicities were transferred to public hospitals were largely explained by hospital market and the initial hospital, suggesting that they may play a larger role in explaining differences in transfer to public hospitals, compared with other external factors.

Project description:ObjectivesTo: (1) examine the 90-day incidence of unplanned hospitalisation and emergency department (ED) presentations after residential aged care facility (RACF) entry, (2) examine individual-related, facility-related, medication-related, system-related and healthcare-related predictors of these outcomes and (3) create individual risk profiles.DesignRetrospective cohort study using the Registry of Senior Australians. Fine-Gray models estimated subdistribution HRs and 95% CIs. Harrell's C-index assessed risk models' predictive ability.Setting and participantsIndividuals aged ≥65 years old entering a RACF as permanent residents in three Australian states between 1 January 2013 and 31 December 2016 (N=116 192 individuals in 1967 RACFs).Predictors examinedIndividual-related, facility-related, medication-related, system and healthcare-related predictors ascertained at assessments or within 90 days, 6 months or 1 year prior to RACF entry.Outcome measures90-day unplanned hospitalisation and ED presentation post-RACF entry.ResultsThe cohort median age was 85 years old (IQR 80-89), 62% (N=71 861) were women, and 50.5% (N=58 714) had dementia. The 90-day incidence of unplanned hospitalisations was 18.0% (N=20 919) and 22.6% (N=26 242) had ED presentations. There were 34 predictors of unplanned hospitalisations and 34 predictors of ED presentations identified, 27 common to both outcomes and 7 were unique to each. The hospitalisation and ED presentation models out-of-sample Harrell's C-index was 0.664 (95% CI 0.657 to 0.672) and 0.655 (95% CI 0.648 to 0.662), respectively. Some common predictors of high risk of unplanned hospitalisation and ED presentations included: being a man, age, delirium history, higher activity of daily living, behavioural and complex care needs, as well as history, number and recency of healthcare use (including hospital, general practitioners attendances), experience of a high sedative load and several medications.ConclusionsWithin 90 days of RACF entry, 18.0% of individuals had unplanned hospitalisations and 22.6% had ED presentations. Several predictors, including modifiable factors, were identified at the time of care entry. This is an actionable period for targeting individuals at risk of hospitalisations.

Dataset Information

Emergency department transfers from residential aged care: what can we learn from secondary qualitative analysis of Australian Royal Commission data?

Objectives

Design

Results

Conclusions

Publications

Emergency department transfers from residential aged care: what can we learn from secondary qualitative analysis of Australian Royal Commission data?

Similar Datasets

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