Evidence map›Paper›PMID 30840211›Full record

ArticleHealth economics review2019

Neighborhood characteristics as determinants of healthcare utilization - a theoretical model.

Sigrid M Mohnen, Sven Schneider, Mariël Droomers

Abstract read
In one paragraph

Article in Health economics review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  10. Observational
  11. Neighborhood Collective Efficacy: A Longitudinal Social Determinant of Access to Medical Care Among Recently Immigrated Latina Young Adults.Hispanic health care international : the official journal of the National Association of Hispanic Nurses · 2024
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  17. The Association of Neighborhood Characteristics and Frailty in Childhood Cancer Survivors: A Report from the St. Jude Lifetime Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  18. Article
  19. Built Environment and HIV Linkage to Care in Rural South Africa.Community health equity research & policy · 2023
    Article
  20. Methodological Challenges in Spatial and Contextual Exposome-Health Studies.Critical reviews in environmental science and technology · 2023
    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

3 authors.

Sigrid M MohnenNational Institute for Public Health and the Environment (RIVM), Centre for Nutrition, Prevention, and Health Services, PO Box 1, 3720, BA, Bilthoven, The Netherlands. sigrid.mohnen@rivm.nl.ORCID http://orcid.org/0000-0002-1537-8706
Sven SchneiderMannheim Institute of Public Health, Social and Preventive Medicine (MIPH), Heidelberg University, Mannheim, Germany.
Mariël DroomersUtrecht Municipality, Department of Public Health, PO Box 16200, 3500, CE, Utrecht, The Netherlands.

Funding

Rijksinstituut voor Volksgezondheid en Milieu HEC, S/133003, 2015-2018
6 · The paper itself

Abstract

backgroundWe propose using neighborhood characteristics as demand-related morbidity adjusters to improve prediction models such as the risk equalization model.

resultsSince the neighborhood has no explicit 'place' in healthcare demand models, we have developed the "Neighborhood and healthcare utilization model" to show how neighborhoods matter in healthcare utilization. Neighborhood may affect healthcare utilization via (1) the supply-side, (2) need, and (3) demand for healthcare - irrespective of need. Three pathways are examined in detail to explain how neighborhood characteristics influence healthcare utilization via need: the physiological, psychological and behavioral pathways. We underpin this theoretical model with literature on all relevant neighborhood characteristics relating to health and healthcare utilization.

conclusionPotential neighborhood characteristics for the risk equalization model include the degree of urbanization, public and open space, resources and facilities, green and blue space, environmental noise, air pollution, social capital, crime and violence, socioeconomic status, stability, and ethnic composition. Air pollution has already been successfully tested as an important predictive variable in a healthcare risk equalization model, and it might be opportune to add more neighborhood characteristics.

Indexed as

Andersen modelPredictionRegionalRisk assessmentSociology

Identifiers

PMID30840211
PMCPMC6734422

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.