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Author: search.filters.author.Douwes JSubject: search.filters.subject.1103 Clinical Sciences

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    Sports and trauma as risk factors for Motor Neurone Disease: New Zealand case-control study
    (John Wiley and Sons Ltd, 2022-06) Chen GX; Douwes J; van den Berg LH; Glass B; McLean D; 't Mannetje AM
    OBJECTIVES: To assess whether sports, physical trauma and emotional trauma are associated with motor neurone disease (MND) in a New Zealand case-control study (2013-2016). METHODS: In total, 321 MND cases and 605 population controls were interviewed collecting information on lifetime histories of playing sports, physical trauma (head injury with concussion, spine injury) and emotional trauma (14 categories). ORs were estimated using logistic regression adjusting for age, sex, ethnicity, socioeconomic status, education, smoking status, alcohol consumption and mutually adjusting for all other exposures. RESULTS: Head injury with concussion ≥3 years before diagnosis was associated with MND (OR 1.51, 95% CI: 1.09-2.09), with strongest associations for two (OR 4.01, 95% CI: 1.82-8.86), and three or more (OR 2.34, 95% CI: 1.00-5.45) head injuries. Spine injury was not associated with MND (OR 0.81, 95% CI: 0.48-1.36). Compared to never playing sports, engaging in sports throughout childhood and adulthood increased MND risk (OR 1.81, 95% CI: 1.01-3.25), as was more than 12 years playing football/soccer (OR 2.35, 95% CI: 1.19-4.65). Reporting emotionally traumatic events in more than three categories was associated with MND (OR 1.88, 95% CI: 1.17-3.03), with physical childhood abuse the only specific emotional trauma associated with MND (OR 1.82, 95% CI: 1.14-2.90), particularly for those reporting longer abuse duration (OR(5-8 years) 2.26, 95% CI: 1.14-4.49; OR(>8 years) 3.01, 95% CI: 1.18-7.70). For females, having witnessed another person being killed, seriously injured or assaulted also increased MND risk (OR 2.68, 95% CI: 1.06-6.76). CONCLUSIONS: This study adds to the evidence that repeated head injury with concussion, playing sports in general, and playing football (soccer) in particular, are associated with an increased risk of MND. Emotional trauma, that is physical abuse in childhood, may also play a role.
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    Association between home insulation and hospital admission rates: retrospective cohort study using linked data from a national intervention programme
    (BMJ Publishing Group Ltd, 29/12/2020) Fyfe C; Telfar-Barnard L; Howden-Chapman P; Douwes J
    Objectives To investigate whether retrofitting insulation into homes can reduce cold associated hospital admission rates among residents and to identify whether the effect varies between different groups within the population and by type of insulation. Design A quasi-experimental retrospective cohort study using linked datasets to evaluate a national intervention programme. Participants 994 317 residents of 204 405 houses who received an insulation subsidy through the Energy Efficiency and Conservation Authority Warm-up New Zealand: Heat Smart retrofit programme between July 2009 and June 2014. Main outcome measure A difference-in-difference approach was used to compare the change in hospital admissions of the study population post-insulation with the change in hospital admissions of the control population that did not receive the intervention over the same two timeframes. Relative rate ratios were used to compare the two groups. Results 234 873 hospital admissions occurred during the study period. Hospital admission rates after the intervention increased in the intervention and control groups for all population categories and conditions with the exception of acute hospital admissions among Pacific Peoples (rate ratio 0.94, 95% confidence interval 0.90 to 0.98), asthma (0.92, 0.86 to 0.99), cardiovascular disease (0.90, 0.88 to 0.93), and ischaemic heart disease for adults older than 65 years (0.79, 0.74 to 0.84). Post-intervention increases were, however, significantly lower (11%) in the intervention group compared with the control group (relative rate ratio 0.89, 95% confidence interval 0.88 to 0.90), representing 9.26 (95% confidence interval 9.05 to 9.47) fewer hospital admissions per 1000 in the intervention population. Effects were more pronounced for respiratory disease (0.85, 0.81 to 0.90), asthma in all age groups (0.80, 0.70 to 0.90), and ischaemic heart disease in those older than 65 years (0.75, 0.66 to 0.83). Conclusion This study showed that a national home insulation intervention was associated with reduced hospital admissions, supporting previous research, which found an improvement in self-reported health.
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    Reducing ethnic and geographic inequities to optimise New Zealand stroke care (REGIONS Care): Protocol for a nationwide observational study
    (JMIR Publications, 12/01/2021) Ranta A; Thompson S; Harwood MLN; Cadilhac DA-M; Barber PA; Davis AJ; Gommans JH; Fink JN; McNaughton HK; Denison H; Corbin M; Feigin V; Abernethy V; Levack W; Douwes J; Girvan J; Wilson A; Derrick, T
    Background: Stroke systems of care differ between larger urban and smaller rural settings and it is unclear to what extent this may impact on patient outcomes. Ethnicity influences stroke risk factors and care delivery as well as patient outcomes in nonstroke settings. Little is known about the impact of ethnicity on poststroke care, especially in Māori and Pacific populations. Objective: Our goal is to describe the protocol for the Reducing Ethnic and Geographic Inequities to Optimise New Zealand Stroke Care (REGIONS Care) study. Methods: This large, nationwide observational study assesses the impact of rurality and ethnicity on best practice stroke care access and outcomes involving all 28 New Zealand hospitals caring for stroke patients, by capturing every stroke patient admitted to hospital during the 2017-2018 study period. In addition, it explores current access barriers through consumer focus groups and consumer, carer, clinician, manager, and policy-maker surveys. It also assesses the economic impact of care provided at different types of hospitals and to patients of different ethnicities and explores the cost-efficacy of individual interventions and care bundles. Finally, it compares manual data collection to routine health administrative data and explores the feasibility of developing outcome models using only administrative data and the cost-efficacy of using additional manually collected registry data. Regarding sample size estimates, in Part 1, Study A, 2400 participants are needed to identify a 10% difference between up to four geographic subgroups at 90% power with an α value of .05 and 10% to 20% loss to follow-up. In Part 1, Study B, a sample of 7645 participants was expected to include an estimated 850 Māori and 419 Pacific patients and to provide over 90% and over 80% power, respectively. Regarding Part 2, 50% of the patient or carer surveys, 40 provider surveys, and 10 focus groups were needed to achieve saturation of themes. The main outcome is the modified Rankin Scale (mRS) score at 3 months. Secondary outcomes include mRS scores; EQ-5D-3L (5-dimension, 3-level EuroQol questionnaire) scores; stroke recurrence; vascular events; death; readmission at 3, 6, and 12 months; cost of care; and themes around access barriers. Results: The study is underway, with national and institutional ethics approvals in place. A total of 2379 patients have been recruited for Part 1, Study A; 6837 patients have been recruited for Part 1, Study B; 10 focus groups have been conducted and 70 surveys have been completed in Part 2. Data collection has essentially been completed, including follow-up assessment; however, primary and secondary analyses, data linkage, data validation, and health economics analysis are still underway. Conclusions: The methods of this study may provide the basis for future epidemiological studies that will guide care improvements in other countries and populations. International Registered Report Identifier (IRRID): DERR1-10.2196/25374
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    Geographic Disparities in Stroke Outcomes and Service Access: A Prospective Observational Study
    (Wolters Kluwer Health, Inc on behalf of the American Academy of Neurology, 26/07/2022) Thompson SG; Barber PA; Gommans JH; Cadilhac DA; Davis A; Fink JN; Harwood M; Levack W; McNaughton HK; Feigin VL; Abernethy V; Girvan J; Kim J; Denison H; Corbin M; Wilson A; Douwes J; Ranta A
    BACKGROUND AND OBJECTIVE: International evidence shows that patients treated at non-urban hospitals experience poorer access to key stroke interventions. Evidence whether this results in poorer outcomes is conflicting and generally based on administrative or voluntary registry data. The aim of this study was to use prospective high-quality comprehensive nationwide patient level data to investigate the association between hospital geography and stroke patient outcomes and access to best practice stroke care in New Zealand. METHODS: This is a prospective, multi-centre, nationally representative observational study involving all 28 New Zealand acute stroke hospitals (18 non-urban), and affiliated rehabilitation and community services. Consecutive adults admitted to the hospital with acute stroke between 1 May and 31 October 2018 were captured. Outcomes included functional outcome (modified Rankin Scale (mRS) shift analysis), functional independence (mRS scores 0-2), quality of life (EQ5D-3L), stroke/vascular events, and death at 3, 6, and 12 months and proportion accessing thrombolysis, thrombectomy, stroke units, key investigations, secondary prevention, and inpatient/community rehabilitation. Results were adjusted for age, sex, ethnicity, stroke severity/type, co-morbidities, baseline function, and differences in baseline characteristics. RESULTS: Overall, 2,379 patients were eligible (mean (standard deviation) age 75 (13.7); 51.2% male; 1,430 urban; 949 non-urban). Patients treated at non-urban hospitals were more likely to score in a higher mRS category (greater disability) at three (aOR=1.28, 1.07-1.53), six (aOR=1.33, 1.07-1.65) and twelve months (aOR=1.31, 1.06-1.62) and were more likely to have died (aOR=1.57, 1.17-2.12) or experienced recurrent stroke and vascular events at 12 months (aOR=1.94, 1.14-3.29 and aOR=1.65, 1.09-2.52). Fewer non-urban patients received recommended stroke interventions including endovascular thrombectomy (aOR=0.25, 95% confidence interval 0.13-0.49), acute stroke unit care (aOR=0.60, 0.49-0.73), antiplatelet prescriptions (aOR=0.72, 0.58-0.88), ≥60 minutes daily physical therapy (aOR=0.55, 0.40-0.77) and community rehabilitation (aOR=0.69, 0.56-0.84). DISCUSSION: Patients managed at non-urban hospitals experience poorer stroke outcomes and reduced access to key stroke interventions across the entire care continuum. Efforts to improve access to high quality stroke care in non-urban hospitals should be a priority.