Evidence map›Paper›PMID 29857540›Full record

ArticleInternational journal of environmental research and public health2018

Identifying Local and Centralized Mental Health Services-The Development of a New Categorizing Variable.

Taina Ala-Nikkola, Sami Pirkola, Minna Kaila, Grigori Joffe, Raija Kontio, Olli Oranta, Minna Sadeniemi, Kristian Wahlbeck, Samuli I Saarni

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

9 authors.

Taina Ala-NikkolaClinic of Psychiatry and Clinic of Public Health Välskärinkatu 12 and Stenbäckinkatu 9, University of Helsinki and Helsinki University Hospital, FI-00029 Helsinki, Finland. taina.ala-nikkola@hus.fi.ORCID 0000-0003-0834-1195
Sami PirkolaUniversity of Tampere School of Health Sciences and Tampere University Hospital, Lääkärinkatu 1, FI-33014 Tampere, Finland. sami.pirkola@staff.uta.fi.
Minna KailaClinic of Psychiatry and Clinic of Public Health Välskärinkatu 12 and Stenbäckinkatu 9, University of Helsinki and Helsinki University Hospital, FI-00029 Helsinki, Finland. minna.kaila@helsinki.fi.
Grigori JoffeClinic of Psychiatry and Clinic of Public Health Välskärinkatu 12 and Stenbäckinkatu 9, University of Helsinki and Helsinki University Hospital, FI-00029 Helsinki, Finland. grigori.joffe@hus.fi.
Raija KontioClinic of Psychiatry and Clinic of Public Health Välskärinkatu 12 and Stenbäckinkatu 9, University of Helsinki and Helsinki University Hospital, FI-00029 Helsinki, Finland. raija.kontio@hus.fi.
Olli OrantaTurku University Hospital and University of Turku, Kiinanmyllynkatu 4-8, FI-20520 Turku, Finland. olli.oranta@tyks.fi.ORCID 0000-0003-2389-4644
Minna SadeniemiClinic of Psychiatry and Clinic of Public Health Välskärinkatu 12 and Stenbäckinkatu 9, University of Helsinki and Helsinki University Hospital, FI-00029 Helsinki, Finland. minna.sadeniemi@helsinki.fi.
Kristian WahlbeckUnit for Mental Health, National Institute for Health and Welfare (T.H.L.), Mannerheimintie 168, FI-00270 Helsinki, Finland. kristian.wahlbeck@thl.fi.ORCID 0000-0003-3754-3933
Samuli I SaarniTurku University Hospital and University of Turku, Kiinanmyllynkatu 4-8, FI-20520 Turku, Finland. samuli.saarni@tyks.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The challenges of mental health and substance abuse services (MHS) require shifting of the balance of resources from institutional care to community care. In order to track progress, an instrument that can describe these attributes of MHS is needed. We created a coding variable in the European Service Mapping Schedule-Revised (ESMS-R) mapping tool using a modified Delphi panel that classified MHS into centralized, local services with gatekeeping and local services without gatekeeping. For feasibility and validity, we tested the variable on a dataset comprising MHS in Southern Finland, covering a population of 2.3 million people. There were differences in the characteristics of services between our study regions. In our data, 41% were classified as centralized, 37% as local without gatekeeping and 22% as local services with gatekeeping. The proportion of resources allocated to local services varied from 20% to 43%. Reclassifying ESMS-R is an easy way to compare the important local vs. centralized balance of MHS systems globally, where such data exists. Further international studies comparing systems and validating this approach are needed.

Indexed as

Delphi TechniqueFinlandHealth Care RationingHumansMental DisordersMental HealthMental Health ServicesEuropean Service Mapping Schedule-Revisedhealth service researchintegrated caremental health care

Identifiers

PMID29857540
PMCPMC6025394

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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.