Evidence map›Paper›PMID 38840063›Full record

Observational studyBMC public health2024

Smoking data quality of primary care practices in comparison with smoking data from the New Zealand Māori and Pacific abdominal aortic aneurysm screening programme: an observational study.

Karen Bartholomew, Phyu Sin Aye, Charlotte Aitken, Erin Chambers, Cleo Neville, Anna Maxwell, Peter Sandiford, Aivi Puloka, Sue Crengle, Katrina Poppe and 2 more

Abstract readObservational StudyComparative Study
In one paragraph

Observational study in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Karen BartholomewService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.
Phyu Sin AyeService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand. phyusin.aye@waitematadhb.govt.nz.
Charlotte AitkenService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.
Erin ChambersService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.
Cleo NevilleService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.
Anna MaxwellService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.
Peter SandifordService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.
Aivi PulokaService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.
Sue CrengleUniversity of Otago, Dunedin, New Zealand.
Katrina PoppeUniversity of Auckland, Auckland, New Zealand.
Robert N DoughtyUniversity of Auckland, Auckland, New Zealand.
Andrew HillService Improvement and Innovation, Health New Zealand Te Whatu Ora, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality smoking data is crucial for assessing smoking-related health risk and eligibility for interventions related to that risk. Smoking information collected in primary care practices (PCPs) is a major data source; however, little is known about the PCP smoking data quality. This project compared PCP smoking data to that collected in the Māori and Pacific Abdominal Aortic Aneurysm (AAA) screening programme.

methodsA two stage review was conducted. In Stage 1, data quality was assessed by comparing the PCP smoking data recorded close to AAA screening episodes with the data collected from participants at the AAA screening session. Inter-rater reliability was analysed using Cohen's kappa scores. In Stage 2, an audit of longitudinal smoking status was conducted, of a subset of participants potentially misclassified in Stage 1. Data were compared in three groups: current smoker (smoke at least monthly), ex-smoker (stopped > 1 month ago) and never smoker (smoked < 100 cigarettes in lifetime).

resultsOf the 1841 people who underwent AAA screening, 1716 (93%) had PCP smoking information. Stage 1 PCP smoking data showed 82% concordance with the AAA data (adjusted kappa 0.76). Fewer current or ex-smokers were recorded in PCP data. In the Stage 2 analysis of discordant and missing data (N = 313), 212 were enrolled in the 29 participating PCPs, and of these 13% were deceased and 41% had changed PCP. Of the 93 participants still enrolled in the participating PCPs, smoking status had been updated for 43%. Data on quantity, duration, or quit date of smoking were largely missing in PCP records. The AAA data of ex-smokers who were classified as never smokers in the Stage 2 PCP data (N = 27) showed a median smoking cessation duration of 32 years (range 0-50 years), with 85% (N = 23) having quit more than 15 years ago.

conclusionsPCP smoking data quality compared with the AAA data is consistent with international findings. PCP data captured fewer current and ex-smokers, suggesting ongoing improvement is important. Intervention programmes based on smoking status should consider complementary mechanisms to ensure eligible individuals are not missed from programme invitation.

Indexed as

Aortic Aneurysm, AbdominalMaori PeoplePrimary Health CareSmokingAgedData AccuracyFemaleHealth Services, IndigenousHumansMaleMass ScreeningMiddle AgedNew ZealandData qualityRisk factorScreeningSmokingTobacco

Identifiers

PMID38840063
PMCPMC11154981

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.