Evidence map›Paper›PMID 25595318›Full record

SynthesisEuropean journal of epidemiology2015

The global impact of non-communicable diseases on healthcare spending and national income: a systematic review.

Taulant Muka, David Imo, Loes Jaspers, Veronica Colpani, Layal Chaker, Sven J van der Lee, Shanthi Mendis, Rajiv Chowdhury, Wichor M Bramer, Abby Falla and 2 more

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 11 pooled it
57.3field-weighted citation impact, top 1% of its field
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

178 citing papers in PubMed, 11 syntheses or guidelines pooled it, 376 citations in OpenAlex.

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  11. The role of the GP in follow-up cancer care: a systematic literature review.Journal of cancer survivorship : research and practice · 2016
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118 more citing papers are in PubMed but not listed here.

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 at 5 institutions in 3 countries.

Taulant MukaDepartment of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Office NA29-16, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
David Imo
Loes Jaspers
Veronica Colpani
Layal Chaker
Sven J van der Lee
Shanthi Mendis
Rajiv Chowdhury
Wichor M Bramer
Abby Falla
Raha Pazoki
Oscar H Franco
Erasmus MC · NLErasmus University Rotterdam · NLGGD Rotterdam-Rijnmond · NLUniversity of Cambridge · GBWorld Health Organization · CH

Funding

British Heart Foundation RG/08/014/24067Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

The impact of non-communicable diseases (NCDs) in populations extends beyond ill-health and mortality with large financial consequences. To systematically review and meta-analyze studies evaluating the impact of NCDs (including coronary heart disease, stroke, type 2 diabetes mellitus, cancer (lung, colon, cervical and breast), chronic obstructive pulmonary disease and chronic kidney disease) at the macro-economic level: healthcare spending and national income. Medical databases (Medline, Embase and Google Scholar) up to November 6th 2014. For further identification of suitable studies, we searched reference lists of included studies and contacted experts in the field. We included randomized controlled trials, systematic reviews, cohorts, case-control, cross-sectional, modeling and ecological studies carried out in adults assessing the economic consequences of NCDs on healthcare spending and national income without language restrictions. All abstracts and full text selection was done by two independent reviewers. Any disagreements were resolved through consensus or consultation of a third reviewer. Data were extracted by two independent reviewers using a pre-designed data collection form. Studies evaluating the impact of at least one of the selected NCDs on at least one of the following outcome measures: healthcare expenditure, national income, hospital spending, gross domestic product (GDP), gross national product, net national income, adjusted national income, total costs, direct costs, indirect costs, inpatient costs, outpatient costs, per capita healthcare spending, aggregate economic outcome, capital loss in production levels in a country, economic growth, GDP per capita (per capita income), percentage change in GDP, intensive growth, extensive growth, employment, direct governmental expenditure and non-governmental expenditure. From 4,364 references, 153 studies met our inclusion criteria. Most of the studies were focused on healthcare related costs of NCDs. 30 studies reported the economic impact of NCDs on healthcare budgets and 13 on national income. Healthcare expenditure for cardiovascular disease (12-16.5 %) was the highest; other NCDs ranged between 0.7 and 7.4 %. NCD-related health costs vary across the countries, regions, and according to type of NCD. Additionally, there is an increase in costs with increased severity and years lived with the disease. Low- and middle-income (LMI) countries were the focus of just 16 papers, which suggests an information shortage concerning the true economic burden of NCDs in these countries. NCDs pose a significant financial burden on healthcare budgets and nations' welfare, which is likely to increase over time. However further work is required to standardize more consistently the methods available to assess the economic impact of NCDs and to involve (hitherto under-addressed) LMI populations across the globe.

Indexed as

Cost of IllnessIncomeOutcome Assessment, Health CareChronic DiseaseDelivery of Health CareEmploymentFinancing, PersonalGlobal HealthHealth ExpendituresHumansInternationality

Identifiers

PMID25595318
OpenAlexW2035589001

What OpenQuestion holds

Textmetadata
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.