Evidence map›Paper›PMID 34646063›Full record

ArticleHealth services insights2021

Factors of Specialized Mental Health Care Use in the Netherlands: A Scoping Review Applying Andersen-Newman's Care Utilization Model.

Daphne Aimée Van der Draai, Erik Van Duijn, Derek Paul De Beurs, Anika Bexkens, Aartjan Theodoor Frans Beekman

Abstract readScoping Review
In one paragraph

Article in Health services insights, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

5 authors.

Daphne Aimée Van der DraaiGGZ Delfland, Delft, The Netherlands.ORCID https://orcid.org/0000-0002-1058-5845
Erik Van DuijnDepartment of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands.
Derek Paul De BeursTrimbos-Instituut, Utrecht, The Netherlands.
Anika BexkensGGZ Delfland, Delft, The Netherlands.
Aartjan Theodoor Frans BeekmanAmsterdam UMC, location GGZ inGeest and VU Medical Center, Department of Psychiatry, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As mental disorders impact quality of life and result in high costs for society, it is important patients receive timely and adequate care. This scoping review first aims to summarize which factors contribute to specialized mental health care (SMHC) use. Within the Dutch health care system, the general practitioner (GP) is the filter for SMHC and care use costs are relatively low. Second, to organize factors by Andersen and Newman's care utilization model in illness level, predisposing, and enabling factors. Third, to assess equity of access to SMHC in the Netherlands. A health care system is equitable when illness level and the demographic predisposing factors age and gender account for most variation in care use and inequitable when enabling factors and social predisposing factors such as education predominate. We identified 13 cross-sectional and cohort studies in the Netherlands published between 1970 and September 2020 with 20 assessed factors. Illness level factors, disease severity, diagnosis, personality, and comorbidity contributed the most to SMHC use. Predisposing factors related to a more solitary lifestyle contributed to a lesser degree. Enabling factors income and urbanicity contributed the least to SMHC use. These results imply inequity. Factors that did not fit the care utilization model were GP related, for example the ability to recognize mental disorders. This emphasizes their importance in a system where patients are dependent on GPs for access to SMHC. Focus should be on improving recognition of mental disorders by GPs as well as collaboration with mental health care professionals.

Indexed as

access to careAndersen-Newman’s care utilization modelMental health carepredisposing and enabling factorpsychiatric diseases

Identifiers

PMID34646063
PMCPMC8504219

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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.