Early Access to First-Seizure Clinics, Subsequent Outcomes, and Factors Associated With Attendance.

Importance: First-seizure clinics (FSCs) aim to deliver prompt specialist care to patients with new-onset undifferentiated seizure events. Objective: To determine whether FSC attendance and time to FSC are associated with subsequent health care utilization and mortality and to investigate factors associated with FSC nonattendance. Design, Setting, and Participants: This was a record-linkage, retrospective, cohort study of patients who booked appointments at 2 FSCs between 2007 and 2018. Patients' records were linked to state-wide administrative databases between 2000 and 2021. The setting comprised the FSCs of 2 major metropolitan public hospitals in Melbourne, Australia, providing national inpatient and outpatient adult epilepsy services. Of patients who booked appointments at the FSCs, those who were successfully linked for analysis were included in the study. Patients who recorded only canceled appointments were excluded from analysis of outcomes. Study data were analyzed from January 2000 to December 2021. Exposure: FSC attendance. Main Outcomes and Measures: Subsequent all-cause and seizure-related emergency department (ED) presentations and hospital admissions. Results: Of 10 162 patients with appointments at FSCs, 9392 were linked for analysis, with mean (SD) follow-up time 6.9 (2.8) years after FSC referral. A total of 703 patients were excluded. Among 9392 linked patients, 5398 were male (57.5%; mean [SD] age, 59.7 [11.2] years). FSC attendance was associated with reduced subsequent all-cause emergency presentations (adjusted incidence rate ratio [aIRR], 0.72; 95% CI, 0.66-0.79) and all-cause hospitalization (aIRR, 0.81; 95% CI, 0.75-0.88). Those who attended at the first-scheduled appointment, compared with those who attended only a rescheduled, delayed appointment, had reduced subsequent all-cause emergency presentations (aIRR, 0.83; 95% CI, 0.76-0.91), all-cause hospitalization (aIRR, 0.71; 95% CI, 0.65-0.79), seizure-related presentations (aIRR, 0.40; 95% CI, 0.33-0.49), and mortality (hazard ratio, 0.82; 95% CI, 0.69-0.98). Male sex was associated with nonattendance (adjusted relative risk [aRR], 1.12; 95% CI, 1.03-1.22), as were injury at emergency presentation (aRR, 1.12; 95% CI, 1.01-1.24), psychiatric comorbidity (aRR, 1.68; 95% CI, 1.55-1.81), previous seizure-related presentations (aRR, 1.35; 95% CI, 1.22-1.49), and delays (>14 days) between FSC referral and appointment (aRR, 1.35; 95% CI, 1.18-1.54). Hospitalization at referral was associated with reduced nonattendance (aRR, 0.80; 95% CI, 0.72-0.90), as were non-English language preference (aRR, 0.81; 95% CI, 0.69-0.94), distance greater than 6 mi from home to clinic (aRR, 0.85; 95% CI, 0.76-0.95), and physical comorbidity (aRR, 0.80; 95% CI, 0.72-0.89). Conclusions and Relevance: Results of this cohort study suggest that FSC attendance, particularly early attendance, was associated with reduced rates of subsequent hospital utilization. This knowledge may support adequately resourcing FSCs to improve equitable, timely access. Future study directions include assessing interventions that may support FSC attendance for at-risk groups.

Long-term physical and psychiatric morbidities and mortality of untreated, deferred, and immediately treated epilepsy.

OBJECTIVE: In Australia, 30% of newly diagnosed epilepsy patients were not immediately treated at diagnosis. We explored health outcomes between patients receiving immediate, deferred, or no treatment, and compared them to the general population. METHODS: Adults with newly diagnosed epilepsy in Western Australia between 1999 and 2016 were linked with statewide health care data collections. Health care utilization, comorbidity, and mortality at up to 10 years postdiagnosis were compared between patients receiving immediate, deferred, and no treatment, as well as with age- and sex-matched population controls. RESULTS: Of 603 epilepsy patients (61% male, median age = 40 years) were included, 422 (70%) were treated immediately at diagnosis, 110 (18%) received deferred treatment, and 71 (12%) were untreated at the end of follow-up (median = 6.8 years). Immediately treated patients had a higher 10-year rate of all-cause admissions or emergency department presentations than the untreated (incidence rate ratio [IRR] = 2.0, 95% confidence interval [CI] = 1.4-2.9) and deferred treatment groups (IRR = 1.7, 95% CI = 1.0-2.8). They had similar 10-year risks of mortality and developing new physical and psychiatric comorbidities compared with the deferred and untreated groups. Compared to population controls, epilepsy patients had higher 10-year mortality (hazard ratio = 2.6, 95% CI = 2.1-3.3), hospital admissions (IRR = 2.3, 95% CI = 1.6-3.3), and psychiatric outpatient visits (IRR = 3.2, 95% CI = 1.6-6.3). Patients with epilepsy were also 2.5 (95% CI = 2.1-3.1) and 3.9 (95% CI = 2.6-5.8) times more likely to develop a new physical and psychiatric comorbidity, respectively. SIGNIFICANCE: Newly diagnosed epilepsy patients with deferred or no treatment did not have worse outcomes than those immediately treated. Instead, immediately treated patients had greater health care utilization, likely reflecting more severe underlying epilepsy etiology. Our findings emphasize the importance of individualizing epilepsy treatment and recognition and management of the significant comorbidities, particularly psychiatric, that ensue following a diagnosis of epilepsy.

Characteristics of nursing homes associated with COVID-19 outbreaks and mortality among residents in Victoria, Australia.

OBJECTIVE: To determine nursing home characteristics associated with COVID-19 outbreak, outbreak size and mortality, during the second wave in Victoria, Australia. METHOD: Population-based cross-sectional study of all nursing homes in Victoria between 7 July and 13 November 2020. RESULTS: There were one or more resident cases of COVID-19 in 9.7% of nursing homes (74/766). COVID-19 intrusion was more likely in larger metropolitan facilities, privately owned by large chains, with a past history of regulatory non-compliance, located close to high-risk industry. Larger outbreaks were associated with homes in metropolitan areas, accommodating 91 or more residents, with shared rooms, owned by private providers operating many (11 or more) facilities. The highest case-fatality rates were observed in homes owned by not-for-profit providers operating many facilities, located close to high-risk industry. CONCLUSION: Stratifying nursing homes according to characteristics associated with morbidity and mortality can inform risk management, prioritising emergency responses and optimising future nursing home operations.

Risk Stratification of Nursing Homes to Plan COVID-19 Responses: A Case Study of Victoria, Australia.

OBJECTIVE: Emergency management responses to coronavirus disease 2019 (COVID-19) in nursing homes lacked preparation and nuance; moving forward, responses must recognize nursing homes are not generic organizations or services, and individually appreciate each's unique nature, strengths, and limitations. The objective of this study was to describe an approach to stratifying nursing homes according to risk for COVID-19 outbreak. METHODS: Population-based cross-sectional study of all accredited nursing homes in Victoria (n = 766), accommodating 48,824 permanent residents. We examined each home's facility structure, governance history, socio-economic status, proximity to high-risk industry, and proximity and size of local acute public hospital, stratified by location, size, and organizational structure. RESULTS: Privately owned nursing homes tend to be larger and metropolitan-based, and publicly owned homes regionally based and smaller in size. The details reveal additional nuance, eg, privately owned metropolitan-based medium- to large-sized facilities tended to have more regulatory noncompliance, no board of governance, and fewer Chief Executive Officers with clinical background. In contrast, the smaller, publicly owned, remote facilities perform better on those same metrics. CONCLUSIONS: Nursing homes should not be regarded as generic entities, and there is significant underlying heterogeneity. Stratification of nursing homes according to risk level is a viable approach to informing more nuanced policy direction and resource allocation for emergency management responses.

Attitudes towards dignity of risk in older people: A survey following a short narrative film.

OBJECTIVE: To evaluate aged care staff's 'willingness to help an older person with risk-taking activities' that improve quality of life ('dignity of risk'). METHODS: Opportunity-based cross-sectional anonymous electronic survey in four Australian jurisdictions, conducted immediately after screening a short animated narrative film describing 'dignity of risk'. Survey comprised nine questions including respondent demographics, professional role, risk-taking and outcome. RESULTS: From 24 separate screenings, there were 929 respondents. Agreement to 'help an older person with risk-taking activities' was associated with respondent prediction of the least severe harm occurring (OR = 2.22 [1.20, 4.12], P = .001). Conversely, respondents in non-executive, non-managerial roles-that is, nurses and care workers-were unlikely to agree to help with risk-taking activities (OR 0.36-0.49, P ≤ .03). There was not an association with respondent's age grouping (P = .6). CONCLUSION: Staff self-reported attitudes towards dignity of risk are important to understand to enhance in an older person's quality of life.