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Time for time off? Secondary public holiday shows minimal net hospitalisation benefit
  1. Lucy Frances Telfar Barnard
  1. Public Health, University of Otago, Wellington, New Zealand
  1. Correspondence to Dr Lucy Frances Telfar Barnard, Public Health, University of Otago, Wellington 7343, New Zealand; lucy.telfar-barnard{at}otago.ac.nz

Abstract

Background We aimed to use New Zealand’s Anzac Day to test the public health effect of secondary public holidays; and to use weekly hospitalisation counts to identify which dates were more health suitable for a potential new public holiday.

Methods We conducted a retrospective population cohort study of hospital admissions in New Zealand between 23 April and 27 May 1988–2018. We compared acute and arranged hospitalisation and mortality rates in holiday (Anzac Day Monday to Friday) and non-holiday (Anzac Day Saturday or Sunday) years, for mid-week holidays and long weekends; and measured total weekly average acute and arranged hospitalisation counts.

Results Hospitalisation rates were lower in holiday years than non-holiday years (rate ratio (RR) 0.96, 95% CI 0.95 to 0.96, p<0.001), with fewer arranged admissions (RR 0.93, 95% CI 0.93 to 0.94, p<0.001), but no significant difference for acute admissions (RR 1.00, 95% CI 0.99 to 1.00, p=0.087). Holiday year acute admission rates were lower than non-holiday years for children aged 0–4 years, but higher for adults aged 15–44 years. Holidays reduced arranged admissions most in children and areas of higher socioeconomic deprivation. There was no significant difference for mortality. Average weekly acute hospitalisations were higher than arranged admissions between 10 June and 7 October.

Conclusion Secondary holidays do not reduce deaths; or acute hospital admissions except in the holiday week; and may delay elective treatment. However, if New Zealand is to add a new public holiday, it would have least detrimental health effect scheduled between 10 June and 7 October.

  • mortality
  • public health
  • epidemiology
  • morbidity
  • lifestyle

Data availability statement

Data may be obtained from a third party and are not publicly available. The data for this study are deidentified hospitalisation and mortality administrative records and New Zealand Census data. The specific data sets are the National Minimum (Hospitalisations) Dataset, the National Mortality Dataset and the 1991–2013 New Zealand Censuses. Both health data sets are available to eligible researchers upon request, with a cost recovery charge, from New Zealand’s Ministry of Health. Aggregated New Zealand Census data are available to researchers upon request, with a cost recovery charge.

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Data availability statement

Data may be obtained from a third party and are not publicly available. The data for this study are deidentified hospitalisation and mortality administrative records and New Zealand Census data. The specific data sets are the National Minimum (Hospitalisations) Dataset, the National Mortality Dataset and the 1991–2013 New Zealand Censuses. Both health data sets are available to eligible researchers upon request, with a cost recovery charge, from New Zealand’s Ministry of Health. Aggregated New Zealand Census data are available to researchers upon request, with a cost recovery charge.

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Footnotes

  • Twitter @LucyTelBar

  • Contributors LFTB is the only contributor to this work, and thus carried out all research, analysis and writing.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Patient and public involvement statement This study used anonymised administrative data, and therefore had no patient or wider public involvement. However, Māori consultation was undertaken prior to the research being undertaken, through the University of Otago Ngāi Tahu Research Consultation Committee.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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