Evidence map›Paper›PMID 27483015›Full record

ArticlePloS one2016

Internal and Predictive Validity of the French Health of the Nation Outcome Scales: Need for Future Directions.

Philippe Golay, Louis Basterrechea, Philippe Conus, Charles Bonsack

Abstract read
In one paragraph

Article in PloS one, 2016. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Predicting involuntary hospitalization in psychiatry: A machine learning investigation.European psychiatry : the journal of the Association of European Psychiatrists · 2021
    Article
  6. Article
  7. Article
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  9. Observational
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

4 authors.

Philippe GolayDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Louis BasterrecheaDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Philippe ConusDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Charles BonsackDepartment of Psychiatry, Lausanne University Hospital (CHUV), Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Health of the Nation Outcome Scales (HoNOS) is a widely used measure of health and social functioning of people with mental illness. The goals of this study were to verify the internal validity of the one factor and several four-factor scoring structures and to evaluate the predictive validity of HoNOS items with regards to duration of hospitalization, probability of readmission in the following year and time before readmission. 6175 hospital stays at the department of psychiatry of Lausanne University Hospital were screened and the first HoNOS of each patient was taken into account (N = 2722). Data were analyzed through Confirmatory Factor Analysis (CFA) and the predictive validity of HoNOS items was evaluated with two approaches: item level regressions and latent class analysis (LCA). CFA indicated that the suggested factor structures were not supported by the data. Predictive validity of the 12 items was weak but LCA revealed five distinct and meaningful profiles that were related to length of stay or readmission. HoNOS may be more adapted to the evaluation of patients case-mix rather than to the individual level and concepts such as predictive validity may be more appropriate than internal validity to guide its use.

Indexed as

Hospitals, UniversityAdultFemaleFranceHealth StatusHumansLength of StayMaleMental DisordersMiddle AgedOutcome Assessment, Health CarePatient ReadmissionPsychiatric Status Rating ScalesPsychometricsSocial Adjustment

Identifiers

PMID27483015
PMCPMC4970811

What OpenQuestion holds

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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.