Sex differences in quality of life after stroke were explained by patient factors, not clinical care: evidence from the Australian Stroke Clinical Registry.

BACKGROUND AND PURPOSE: Women may receive stroke care less often than men. We examined the contribution of clinical care on sex differences and health-related quality of life (HRQoL) after stroke. METHODS: We included first-ever strokes registered in the Australian Stroke Clinical Registry (2010-2014) with HRQoL assessed between 90 and 180 days after onset (EQ-5D-3L instrument) that were linked to hospital administrative data (up to 2013). Study factors included sociodemographics, comorbidities, walking ability on admission (stroke severity proxy) and clinical care (e.g. stroke unit care). Responses to the EQ-5D-3L were transformed into a total utility value (-0.516 'worse than death' to 1 'best' health). Quantile regression models, adjusted for confounding factors, were used to determine median differences (MD) in utility scores by sex. RESULTS: Approximately 60% (6852/11 418) of stroke survivors had an EQ-5D-3L assessment (median 139 days; 44% female). Compared with men, women were older (median age 77.1 years vs. men 71.2 years) and fewer could walk on admission (37.9% vs. men 46.1%, P < 0.001). Women had lower utility values than men, and the difference was explained by age and stroke severity, but not clinical care [MDadjusted = -0.039, 95% confidence interval: -0.056, -0.021]. Poorer HRQoL was observed in younger men (aged <65 years), particularly those with more comorbidities, and in older women (aged ≥75 years). CONCLUSIONS: Stroke severity and comorbidities contribute to the poorer HRQoL in young men and older women. Further studies are needed to understand age-sex interaction to better inform treatments for different subgroups and ensure evidence-based treatments to reduce the severity of stroke are prioritized.

Changes in the prevalence of chronic disability in China: evidence from the China Health and Retirement Longitudinal Study.

OBJECTIVES: Chinese adults are the biggest users of healthcare services, and understanding current trends in disability profiles is relevant to planning healthcare workforce infrastructure. We investigated the trends over time for disability and physical functional limitations from 2011 to 2015 among Chinese adults and identified the factors associated with these limitations. STUDY DESIGN: We used nationally representative data from the China Health and Retirement Longitudinal Study (CHARLS); the CHARLS participants were followed up every 2 years as they moved from work to retirement with an emphasis on their health status and functional abilities. METHODS: Participants aged ≥50 years from three waves of the CHARLS were included. Data were collected on physical functioning limitations, disabilities in activities of daily living (ADLs) and disabilities in instrumental activities of daily living (IADLs). Multilevel logistic regression models were used to test for changes and factors associated with limitations and disabilities between 2011 and 2015 adjusting for sociodemographic, medical history and health measures. RESULTS: There were 44,447 eligible participants (mean age: 63 years; standard deviation [SD], 9 years; 51% female). After adjustment, there was no significant increase in reporting of ADLs or IADLs in the 2015 survey compared with the 2011 survey. After adjustment, there was a 26% significant increase in reporting of physical functioning limitations in the 2015 survey compared with the 2011 survey (odds ratio: 1.26; 95% confidence interval, 1.17 to 1.35). Factors associated with ADL disability were being female, being older, minimal education, no alcohol intake in the previous year, falls, fractured hip, feeling depressed and being obese. Factors associated with IADL disabilities were being female, being older, minimal education and feeling depressed. CONCLUSIONS: Chinese health agencies should consider the growing need for sufficient community services infrastructure to maximise independence, particularly in the context of ageing populations.

Protocol for evaluation of enhanced models of primary care in the management of stroke and other chronic disease (PRECISE): A data linkage healthcare evaluation study.

INTRODUCTION: The growing burden of chronic diseases means some governments have been providing financial incentives for multidisciplinary care and self-management support delivered within primary care. Currently, population-based evaluations of the effectiveness of these policies are lacking. AIM: To outline the methodological approach for our study that is designed to evaluate the effectiveness (including cost) of primary care policies for chronic diseases in Australia using stroke as a case study. METHODS: Person-level linkages will be undertaken between registrants from the Australian Stroke Clinical Registry (AuSCR) and (i) Government-held Medicare Australia claims data, to identify receipt or not of chronic disease management and care coordination primary care items; (ii) state government-held hospital data, to define outcomes; and (iii) government-held pharmaceutical and aged care claims data, to define covariates. N=1500 randomly selected AuSCR registrants will be sent surveys to obtain patient experience information. In Australia, unique identifiers are unavailable. Therefore, personal-identifiers will be submitted to government data linkage units. Researchers will merge the de-identified datasets for analysis using a project identifier. An economic evaluation will also be undertaken. ANALYSIS: The index event will be the first stroke recorded in the AuSCR. Multivariable competing risks Poisson regression for multiple events, adjusted by a propensity score, will be used to test for differences in the rates of hospital presentations and medication adherence for different care (policy) types. Our estimated sample size of 25,000 patients will provide 80% estimated power (ɑ>0.05) to detect a 6-8% difference in rates. The incremental costs per Quality-adjusted life years gained of community-based care following the acute event will be estimated from a health sector perspective. CONCLUSION: Completion of this study will provide a novel and comprehensive evaluation of the effectiveness and cost-effectiveness of Australian primary care policies. Its success will enable us to highlight the value of data-linkage for this type of research.

Is health-related quality of life between 90 and 180 days following stroke associated with long-term unmet needs?

PURPOSE: Understanding the relationship between health-related quality of life (HRQoL) and long-term unmet needs is important for guiding services to optimise life following stroke. We investigated whether HRQoL between 90 and 180 days following stroke was associated with long-term unmet needs. METHODS: Data from Australian Stroke Clinical Registry (AuSCR) registrants who participated in the Australian Stroke Survivor Needs Survey were used. Outcome data, including the EQ-5D, are routinely collected in AuSCR between 90 and 180 days post-stroke. Unmet needs were assessed at a median of 2 years and categorised into: health; everyday living; work/leisure; and support domains. Multivariable regression was used to determine associations between the EQ-5D dimensions and the likelihood of experiencing unmet needs and the visual analogue scale (VAS) (rating 0-100) and number of reported unmet needs. RESULTS: In total, 173 AuSCR registrants completed the Needs Survey (median age 69 years, 67 % male; 77 % ischaemic stroke). VAS scores were negatively associated with the number of reported long-term unmet needs [irr 0.98, (95 % CI 0.97, 0 99) p < 0.001]. Having EQ-5D activity limitations was associated with unmet living needs (aOR 4.5, 95 % CI 1.1, 18.8). Requiring living supports at 90-180 days was associated with unmet health needs (aOR 4.9, 95 % CI 1.5, 16.1). Those with pain at 90-180 days were less likely to report unmet health (aOR 0.09, 95 % CI 0.02, 0.4) and support needs (aOR 0.2, 95 % CI 0.06, 0.6). CONCLUSION: Routinely collected HRQoL data can identify survivors at risk of experiencing long-term unmet needs. This information is important for targeting service delivery to optimise outcomes following stroke.

Metropolitan-rural divide for stroke outcomes: do stroke units make a difference?

BACKGROUND: Stroke care across Australian hospitals is variable. The impact on health outcomes, in particular levels of disability for patients in rural areas, is unclear. The aim of this study was to determine whether geographic location and access to stroke units are associated with differences in health outcomes in patients with acute stroke. METHODS: Retrospective cohort study of consecutive eligible admissions from 32 hospitals (12 rural) in New South Wales between 2003 and 2007. Health status measured at discharge included level of independence (modified Rankin score: mRS) and frequency of severe complications during hospitalization. Multivariable analyses included adjustment for patient casemix and clustering. RESULTS: Among 2254 eligible patients, 55% were treated in metropolitan hospitals. Stroke unit treatment varied significantly (rural 3%; metropolitan 77%). Age, gender and stroke type did not differ by location (mean age 74, 50% female). After adjusting for age, gender, ethnicity, important risk factors and validated stroke prognostic variables, patients treated in rural hospitals had a greater odds of dying during hospitalization compared with those treated in metropolitan hospitals (adjusted odds ratio (aOR) 1.46, 95% confidence interval (CI) 1.03-2.05). There were no differences in mortality or frequency of severe complications between patients treated in rural and metropolitan hospitals when we adjusted for access to stroke units (aOR 1.00, 95% CI 0.62-1.61). Nevertheless, patients treated in rural hospitals were more dependent (mRS 3-5) at discharge (aOR 1.82, 95% CI 1.23-2.70) despite adjusting for stroke unit status. CONCLUSION: Patients with stroke treated in rural hospitals have poorer health outcomes, especially if not managed in stroke units.

Advice about management of skin conditions in the community: who are the providers?

A survey was undertaken in the central Victorian city of Maryborough to investigate the use of pharmacies and general practitioners as sources of advice about skin problems. In a 2 week period consumers purchasing either prescription or over the counter (OTC) products for skin, hair and nails in pharmacies were approached for interview. Simultaneously, each of the city's general practitioners (GP) completed questionnaires on all patients presenting with conditions of skin, hair and nails. Seventy per cent of the 315 consumers interviewed were purchasing OTC products and 50% prescription items. Of the OTC products, 42% were originally recommended by pharmacy staff and 18% by doctors. Over one-third of consumers buying OTC products described symptoms to pharmacy staff and in about half of the cases it was to the pharmacy assistant. One-third of people describing symptoms had already seen a doctor. Problems most frequently reported were dermatitis, skin dryness, acne and tinea. General practitioners recorded 265 conditions (of which 54% were new) in patients. The most common condition treated was solar keratosis, and GP wrote a prescription for 45% and recommended OTC products for 7% of conditions. People in Maryborough are seeking advice for their skin conditions from a variety of sources including GP, pharmacies and others.

The frequency and nature of skin conditions seen in a private dermatology practice in central Victoria, 1991-95.

A dermatology diagnostic database was established in order to determine the frequency and nature of skin conditions in a private dermatological practice in Central Victoria, Australia. Between August 1991 and June 1995, a total of 3346 dermatological diagnoses were recorded for 3000 new patient presentations. More women (58.9%) were seen than men (41.1%). Dermatitis and tumours of the skin accounted for 50% of new consultation(s), the highest attendance being for solar keratoses (11.9%). The frequency of patients seen was comparable to the previous 1970s survey of private dermatological practice in Australia, with the exception of melanocytic naevi, which was seen with twice the frequency compared to previously. The proportion of patients presenting with dermatitis was higher in the colder seasons of the year (winter and spring compared with summer and autumn). The proportion of people seen with melanocytic naevi was higher in summer and autumn compared with winter and spring. These results illustrate the usefulness of recording clinical patient data in practice as a way of recording patterns of referral as well as having a role in determining causation of disease.