Evidence map›Paper›PMID 38659433›Full record

ArticleJournal of caring sciences2024

Development and Psychometric Evaluation of the Motivation for Healing Scale in Patients with Cancer.

Fatemeh Hossieni, Eesa Mohammadi, Reza Hosseini, Zohreh Sadat, Negin Masoudi Alavi

Abstract read
In one paragraph

Article in Journal of caring sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Patient motivation: A concept analysis.Belitung nursing journal · 2024
    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

5 authors.

Fatemeh HossieniDepartment of Community Health Nursing, School of Nursing and Midwifery, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.ORCID https://orcid.org/0000-0001-5040-4124
Eesa MohammadiDepartment of Nursing, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.ORCID https://orcid.org/0000-0001-6169-9829
Reza HosseiniLinkedIn Corporation, Sunnyvale, CA, USA.ORCID https://orcid.org/0000-0001-6282-5815
Zohreh SadatTrauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran.ORCID https://orcid.org/0000-0002-8408-0786
Negin Masoudi AlaviTrauma Nursing Research Center, Kashan University of Medical Sciences, Kashan, Iran.ORCID https://orcid.org/0000-0001-9519-0051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study was conducted to develop and validate a Motivation for Healing Scale (MHS) in Cancer. Methods: in this methodological study, the MHS draft was developed based on the approach of Waltz and colleagues using existing scales and concept analysis. The psychometric features, including face validity (qualitative and quantitative), content validity (qualitative and quantitative), structural validity (exploratory and confirmatory factors), and construct validity (convergent and discriminant validity) were assessed. Finally, the reliability was evaluated using internal consistency, and stability. Results: Based on the results of the qualitative phase, an initial item pool was generated with 55 items, Exploratory and confirmatory factor analyses were performed on the data collected from 404 patients. 25 Items were excluded during the psychometric evaluation phases. Reliability assessment and internal consistency assessment revealed that Cronbach's alpha value of the 25-item MHS was 0.912. The results of intraclass correlation coefficient (0.93, 95% CI: 0.86- 0.96) showed the stability was strong. Conclution: The 25-item MHS is a valid and reliable scale for the assessment of motivation for healing in patients with cancer.

Indexed as

CancerFactor analysisHealingMotivationPsychometric

Identifiers

PMID38659433
PMCPMC11036165

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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.