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The challenge of measuring multi-morbidity and its costs

Overview of attention for article published in Israel Journal of Health Policy Research, January 2015
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Title
The challenge of measuring multi-morbidity and its costs
Published in
Israel Journal of Health Policy Research, January 2015
DOI 10.1186/2045-4015-4-1
Pubmed ID
Authors

Raphael Wittenberg

Abstract

The ageing of the population across developed countries and beyond has increased the importance of examining multi-morbidity. The recent paper by Arbelle et al. [Isr J of Health Policy Res. 2014;3:29] on multiple chronic conditions in Israel's Maccabi Health Care System (MHC) is a welcome and interesting contribution to the literature on this topic. They found that the prevalence of multiple chronic conditions among the MHC population rises with age, is lower for higher socioeconomic groups, and is higher than in a primary care population in Scotland studied by Barnett et al. [Lancet. 2012;380:37-43]. The difference in prevalence between the two studies is unlikely to reflect entirely, or probably even mainly, real differences in morbidity rates between the two countries. Systematic reviews have highlighted large differences in the prevalence of multi-morbidity in different studies. Although the Israeli and Scottish study used similar definitions and methods, the nature of the source data differed. It seems likely that the incentives to record the full range of patients' conditions may differ between data sources depending on the uses of the data, which may in turn depend on the country's health care financing system. If this is correct, it will complicate comparisons between different jurisdictions. It is important to consider not only the prevalence of multi-morbidity but also its costs to the health system and to wider society. Cost of illness studies can be helpful in informing decisions about prioritisation of resources. Multi-morbidity complicates such studies. The overall costs of health and social care for people with a specific condition would include costs relating to any comorbidities. To examine the marginal impact on overall costs of each condition among those with multiple conditions is likely to be complex and arguably not especially useful.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 51 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Researcher 10 19%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 4 8%
Student > Bachelor 2 4%
Other 7 13%
Unknown 12 23%
Readers by discipline Count As %
Medicine and Dentistry 9 17%
Economics, Econometrics and Finance 7 13%
Nursing and Health Professions 4 8%
Social Sciences 3 6%
Psychology 3 6%
Other 10 19%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 January 2015.
All research outputs
#18,390,814
of 22,780,165 outputs
Outputs from Israel Journal of Health Policy Research
#406
of 578 outputs
Outputs of similar age
#256,277
of 352,182 outputs
Outputs of similar age from Israel Journal of Health Policy Research
#4
of 4 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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