Evidence map›Paper›PMID 23087601›Full record

ArticleEuropean journal of ageing2012

Decomposing differences in utilization of health services between depressed and non-depressed elders in Europe.

Keren Ladin

Abstract read
In one paragraph

Article in European journal of ageing, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

1 author.

Keren LadinInterfaculty Initiative on Health Policy, Harvard University, 14 Story St., 4th Floor, Cambridge, MA 02138, USA, kladin@post.harvard.edu.

Funding

NBER Training Program in Aging and Health EconomicsT32AG000186 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI CUTLER, DAVID M, FINKELSTEIN, AMY N. · 1989 to 2024
$9.6M
NIA NIH HHS T32 AG000186
6 · The paper itself

Abstract

Utilization rates of non-psychiatric health services are often higher in depressed compared to non-depressed adults. We examine whether these differences can be explained by the increased prevalence or the increased impact of demographic, socioeconomic, geographic, and health-related factors. The sample was taken from The Survey of Health, Ageing and Retirement in Europe (Wave 1 Release 2), a prospective observational study of 31,115 randomly selected people ages 50+ living in Austria, Germany, Sweden, the Netherlands, Spain, Italy, France, Denmark, Greece, Switzerland, Belgium, and Israel. Blinder-Oaxaca decomposition methods for multivariate linear regression models were used to estimate the influence of prevalence and impact of covariates on utilization among depressed and non-depressed participants. We find robust evidence that the gap in utilization between depressed and non-depressed can be accounted for by both prevalence (explained) and impact (unexplained) differences. The prevalence effect accounted for 57.7% whereas differences in the impact of covariates between depressed and non-depressed persons explained 42.3% of differences in utilization rates. Despite cross-national differences in quality and coverage of health services, in all countries, the prevalence effect was explained entirely by health measures, including: chronic diseases, functional mobility, painful symptoms, and self-reported health. The impact effect varied cross-nationally, but was largely explained by socioeconomic status and urbanicity. Hospitalization among depressed adults was twice that of non-depressed adults. Policies aimed at improving adherence and improving disease management among depressed adults should be explored.

Identifiers

PMID23087601
PMCPMC3475524

What OpenQuestion holds

Textmetadata
LicenceTDM
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.