Evidence map›Paper›PMID 35902823›Full record

ArticleBMC psychiatry2022

Psychometric evaluation of the Positive Mental Health (PMH) scale using item response theory.

Lusine Vaganian, Maren Boecker, Sonja Bussmann, Michael Kusch, Hildegard Labouvie, Jürgen Margraf, Alexander L Gerlach, Jan C Cwik

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychiatry, 2022. 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.

  1. Article
  2. Article
  3. Article
  4. Differential Item Functioning of the Mini-BESTest Balance Measure: A Rasch Analysis Study.International journal of environmental research and public health · 2023
    Article
  5. 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

8 authors.

Lusine VaganianDepartment of Clinical Psychology and Psychotherapy, Faculty of Human Sciences, University of Cologne, Pohligstr. 1, 50969, Cologne, Germany. Lusine.vaganian@uni-koeln.de.
Maren BoeckerInstitute of Medical Psychology and Medical Sociology, University Hospital of RWTH Aachen, Aachen, Germany.
Sonja BussmannDepartment of Clinical Psychology and Psychotherapy, Faculty of Human Sciences, University of Cologne, Pohligstr. 1, 50969, Cologne, Germany.
Michael KuschDepartment I of Internal Medicine, Section: Clinical Psycho-Oncology, Working Group Psycho-Oncological Health Services Research, University Hospital of Cologne, Cologne, Germany.
Hildegard LabouvieDepartment I of Internal Medicine, Section: Clinical Psycho-Oncology, Working Group Psycho-Oncological Health Services Research, University Hospital of Cologne, Cologne, Germany.
Jürgen MargrafMental Health Research and Treatment Center, Faculty of Psychology, Ruhr-Universität Bochum, Bochum, Germany.
Alexander L GerlachDepartment of Clinical Psychology and Psychotherapy, Faculty of Human Sciences, University of Cologne, Pohligstr. 1, 50969, Cologne, Germany.
Jan C CwikDepartment of Clinical Psychology and Psychotherapy, Faculty of Human Sciences, University of Cologne, Pohligstr. 1, 50969, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe investigation of patient-reported outcomes and psycho-oncological interventions mainly focuses on psychological distress or psychopathology. However, the recognition of the equal importance of positive mental health (PMH) has increased lately. The PMH-scale is a brief questionnaire allowing to assess well-being in individuals in the general population and in patients. Previous studies evaluated the psychometric properties of the PMH-scale using classical test theory (CTT). This study is the first to investigate the PMH-scale in patients with cancer using item analysis according to the Rasch model.

methodsIn total, N = 357 cancer patients participated in the study. A Rasch analysis of the PMH-scale was conducted including testing of unidimensionality, local independence, homogeneity and differential item functioning (DIF) with regard to age, gender, type of cancer, the presence of metastases, psycho-oncological support, and duration of disease. Additionally, the ordering of the item thresholds as well as the targeting of the scale were investigated.

resultsAfter excluding one misfitting item and accounting for local dependence by forming superitems, a satisfactory overall fit to the Rasch model was established (χ

conclusionsOverall, the results of the analysis according to the Rasch model support the use of the revised PMH-scale in a psycho-oncological context.

Indexed as

Mental HealthPatient Reported Outcome MeasuresHumansPsychometricsReproducibility of ResultsSurveys and QuestionnairesCancerMental healthPsychometric propertiesRasch analysisWell-being

Identifiers

PMID35902823
PMCPMC9334023

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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.