Cited by 42Energy and Environment ImpactsClimate Change and Health ImpactsBuilding Energy and Comfort Optimization

Association between home insulation and hospital admission rates: retrospective cohort study using linked data from a national intervention programme

Open access
Fyfe, Caroline, Telfar, Lucy, Barnard, Howden-Chapman, Philippa, Douwes, Jeroen·2020·BMJ

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1136/bmj.m4571

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • A second quasi-experimental evaluation of the Warm-up NZ Program found that admission rates were significantly lower in the intervention population, with lower hospital admission rates among Pacific peoples and for people over 65 years of age for asthma, cardiovascular disease, and ischemic heart disease, and a 4% reduction in pharmaceuticals for treating respiratory exacerbations in the

    “Admission rates were significantly lower in the intervention population. Postintervention, lower hospital admission rates were found among Pacific peoples and for people over 65 years of age for asthma, cardiovascular disease, and ischemic heart disease. There was also a 4% reduction in pharmaceuticals for treating respiratory exacerbations in the intervention group”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. [23]Baker M, McDonald A, Zhang J, Howden-Chapman P. Infectious diseases attributed to household crowding in New Zealand: A systematic review and burden of disease estimate. He Kainga Oranga, University of Otago, Wellington. 2013.
  2. [31]Preval N. Evaluation of Public Health Interventions (unpublished doctoral dissertation). He Kainga Oranga/Housing and Health Research Programme, Wellington School of Medicine, University of Otago, 2015.

Cited by

Sorted by citations

Authors
Fyfe, C., Telfar, L., Barnard, Howden-Chapman, P., & Douwes, J.
Affiliations
  • University of Otago (NZ)
  • Massey University (NZ)
Corresponding author
Fyfe, Caroline
Venue
BMJ
Publisher
BMJ
Published
2020-12-29
Volume
371
Pages
m4571
ISSN
1756-1833 (ISSN-L)
OpenAlex
W3116476642
Cited by
42
References
25
Citations by year
2026: 5 · 2025: 10 · 2024: 4 · 2023: 6 · 2022: 10 · 2021: 6 · 2020: 1
FWCI
1.42
Type
journal article
Language
en
Open access
Locations
  • BMJ (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Massey Research Online (Massey University) (submittedVersion, cc-by-nc)
  • HighWire Press Open Archive (submittedVersion)
Funders
  • University of Otago
  • Imperial College London
  • Massey University
Topics
  • Physical Sciences › Environmental Science › Pollution › Energy and Environment Impacts
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
Keywords
home insulation, energy retrofit, respiratory diseases, asthma, cardiovascular disease, ischemic heart disease, Pacific Islanders, older adults
MeSH terms
Aged, Cardiovascular Diseases, Environment, Controlled, Female, Heating, Hospitalization, Housing, Humans, Male, Middle Aged, New Zealand, Public Health, Respiratory Tract Diseases, Retrospective Studies, Program Development, Efficiency, Organizational

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review