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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
2 X users
facebook
1 Facebook page
reddit
1 Redditor

Readers on

mendeley
103 Mendeley
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Article details
Title
Epidemiology of multimorbidity in New Zealand: a cross-sectional study using national-level hospital and pharmaceutical data
Published in
BMJ Open, May 2018
DOI 10.1136/bmjopen-2018-021689
Pubmed ID
Authors
Abstract

To describe the prevalence of multimorbidity (presence of two or more long-term health conditions) in the New Zealand (NZ) population, and compare risk of health outcomes by multimorbidity status. Cross-sectional analysis for prevalence of multimorbidity, with 1-year prospective follow-up for health outcomes. NZ general population using national-level routine health data on hospital discharges and pharmaceutical dispensing. All NZ adults (aged 18+, n=3 489 747) with an active National Health Index number at the index date (1 January 2014). Prevalence of multimorbidity was calculated using two data sources: prior routine hospital discharge data (61 ICD-10 coded diagnoses from the M3 multimorbidity index); and recent pharmaceutical dispensing records (30 conditions from the P3 multimorbidity index). Prevalence of multimorbidity was calculated separately for the two data sources, stratified by age group, sex, ethnicity and socioeconomic deprivation, and age and sex standardised to the total population. One-year risk of poor health outcomes (mortality, ambulatory sensitive hospitalisation (ASH) and overnight hospital admission) was compared by multimorbidity status using logistic regression adjusted for confounders. Prevalence of multimorbidity was 7.9% using past hospital discharge data, and 27.9% using past pharmaceutical dispensing data. Prevalence increased with age, with a clear socioeconomic gradient and differences in prevalence by ethnicity. Age and sex standardised risk of 1-year mortality was 2.7% for those with multimorbidity (defined on hospital discharge data), and 0.5% for those without multimorbidity (age and sex-adjusted OR 4.8, 95% CI 4.7 to 5.0). Risk of ASH was also increased for those with multimorbidity (eg, pharmaceutical discharge definition: age and sex-standardised risk 6.2%, compared with 1.8% for those without multimorbidity; age and sex-adjusted OR 3.6, 95% CI 3.5 to 3.6). Multimorbidity is common in the NZ adult population, with disparities in who is affected. Providing for the needs of individuals with multimorbidity requires collaborative and coordinated work across the health sector.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 13 13%
Student > Ph. D. Student 12 12%
Student > Postgraduate 8 8%
Researcher 7 7%
Other 4 4%
Other 12 12%
Unknown 47 46%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 18 17%
Nursing and Health Professions 9 9%
Social Sciences 5 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Agricultural and Biological Sciences 3 3%
Other 13 13%
Unknown 52 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 September 2026.
All research outputs
#4,095,772
of 34,453,422 outputs
Outputs from BMJ Open
#6,480
of 29,736 outputs
Outputs of similar age
#59,520
of 374,818 outputs
Outputs of similar age from BMJ Open
#152
of 608 outputs
Altmetric has tracked 34,453,422 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 374,818 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 608 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.