Displaying publications 1 - 20 of 43 in total

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  1. Bernhardt J, Lindley RI, Lalor E, Ellery F, Chamberlain J, Van Holsteyn J, et al.
    BMJ, 2015 Dec 11;351:h6432.
    PMID: 26658193 DOI: 10.1136/bmj.h6432
    OBJECTIVE: To report the number of participants needed to recruit per baby born to trial staff during AVERT, a large international trial on acute stroke, and to describe trial management consequences.

    DESIGN: Retrospective observational analysis.

    SETTING: 56 acute stroke hospitals in eight countries.

    PARTICIPANTS: 1074 trial physiotherapists, nurses, and other clinicians.

    OUTCOME MEASURES: Number of babies born during trial recruitment per trial participant recruited.

    RESULTS: With 198 site recruitment years and 2104 patients recruited during AVERT, 120 babies were born to trial staff. Births led to an estimated 10% loss in time to achieve recruitment. Parental leave was linked to six trial site closures. The number of participants needed to recruit per baby born was 17.5 (95% confidence interval 14.7 to 21.0); additional trial costs associated with each birth were estimated at 5736 Australian dollars on average.

    CONCLUSION: The staff absences registered in AVERT owing to parental leave led to delayed trial recruitment and increased costs, and should be considered by trial investigators when planning research and estimating budgets. However, the celebration of new life became a highlight of the annual AVERT collaborators' meetings and helped maintain a cohesive collaborative group.

    TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry no 12606000185561.

    DISCLAIMER: Participation in a rehabilitation trial does not guarantee successful reproductive activity.

  2. Remme M, Narasimhan M, Wilson D, Ali M, Vijayasingham L, Ghani F, et al.
    BMJ, 2019 Apr 01;365:l1228.
    PMID: 30936210 DOI: 10.1136/bmj.l1228
    Michelle Remme and colleagues argue that if costs to users are considered and their financing is right, self care interventions for sexual and reproductive health can improve equity and efficiency
  3. Jacobs MG, Brook MG, Weir WR, Bannister BA
    BMJ, 1991 Apr 06;302(6780):828-9.
    PMID: 2025706
  4. Mons U, Müezzinler A, Gellert C, Schöttker B, Abnet CC, Bobak M, et al.
    BMJ, 2015 Apr 20;350:h1551.
    PMID: 25896935 DOI: 10.1136/bmj.h1551
    OBJECTIVE: To investigate the impact of smoking and smoking cessation on cardiovascular mortality, acute coronary events, and stroke events in people aged 60 and older, and to calculate and report risk advancement periods for cardiovascular mortality in addition to traditional epidemiological relative risk measures.

    DESIGN: Individual participant meta-analysis using data from 25 cohorts participating in the CHANCES consortium. Data were harmonised, analysed separately employing Cox proportional hazard regression models, and combined by meta-analysis.

    RESULTS: Overall, 503,905 participants aged 60 and older were included in this study, of whom 37,952 died from cardiovascular disease. Random effects meta-analysis of the association of smoking status with cardiovascular mortality yielded a summary hazard ratio of 2.07 (95% CI 1.82 to 2.36) for current smokers and 1.37 (1.25 to 1.49) for former smokers compared with never smokers. Corresponding summary estimates for risk advancement periods were 5.50 years (4.25 to 6.75) for current smokers and 2.16 years (1.38 to 2.39) for former smokers. The excess risk in smokers increased with cigarette consumption in a dose-response manner, and decreased continuously with time since smoking cessation in former smokers. Relative risk estimates for acute coronary events and for stroke events were somewhat lower than for cardiovascular mortality, but patterns were similar.

    CONCLUSIONS: Our study corroborates and expands evidence from previous studies in showing that smoking is a strong independent risk factor of cardiovascular events and mortality even at older age, advancing cardiovascular mortality by more than five years, and demonstrating that smoking cessation in these age groups is still beneficial in reducing the excess risk.

  5. Chang J
    BMJ, 2016 Nov 25;355:i6317.
    PMID: 27886999 DOI: 10.1136/bmj.i6317
  6. Sheth T, Chan M, Butler C, Chow B, Tandon V, Nagele P, et al.
    BMJ, 2015;350:h1907.
    PMID: 25902738 DOI: 10.1136/bmj.h1907
    To determine if coronary computed tomographic angiography enhances prediction of perioperative risk in patients before non-cardiac surgery and to assess the preoperative coronary anatomy in patients who experience a myocardial infarction after non-cardiac surgery.
  7. Cutting WA
    BMJ, 1992 Oct 03;305(6857):788-9.
    PMID: 1422355
  8. Black JA, Debelle GD
    BMJ, 1995 Jun 17;310(6994):1590-2.
    PMID: 7787654
  9. Mothupi M, Dasgupta J, Hosseini Jebeli SS, Stevenson J, Berdichevsky K, Vong S, et al.
    BMJ, 2023 Jun 07;381:e072243.
    PMID: 37286226 DOI: 10.1136/bmj-2022-072243
    Intersectional analysis and action are needed to prepare for future pandemics and ensure more inclusive health services, say Mamothena Mothupi and colleagues
  10. Feeny E, Dain K, Varghese C, Atiim GA, Rekve D, Gouda HN
    BMJ, 2021 07 19;374:n1516.
    PMID: 34281828 DOI: 10.1136/bmj.n1516
  11. Buse K, Tomson G, Kuruvilla S, Mahmood J, Alden A, van der Meulen M, et al.
    BMJ, 2022 Jan 26;376:e068124.
    PMID: 37462013 DOI: 10.1136/bmj-2021-068124
    Kent Buse and colleagues argue that unlocking the potential for intersectoral action on climate and health requires thinking politically about its facilitators and barriers
  12. Narasimhan M, Allotey P, Hardon A
    BMJ, 2019 Apr 01;365:l688.
    PMID: 30936087 DOI: 10.1136/bmj.l688
    Manjulaa Narasimhan and colleagues argue that there is a pressing need for a clearer conceptualisation of self care to support health policy
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