Evidence map›Paper›PMID 34544362›Full record

ArticleBMC cancer2021

Validation of Mini-Mental Adjustment to Cancer scale in a Moroccan sample of breast cancer women.

Mohammed El Amine Ragala, Jaouad El Hilaly, Lamiae Amaadour, Majid Omari, Achraf E L AsriI, Mariam Atassi, Zineb Benbrahim, Nawfel Mellas, Karima E L Rhazi, Karima Halim and 1 more

Abstract readValidation Study
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

11 authors.

Mohammed El Amine RagalaLaboratory of Natural Substances, Pharmacology, Environment, Modeling, Health & Quality of Life, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, P. B 1796 Atlas, 30003, Fez, Morocco.
Jaouad El HilalyLaboratory of Pedagogical and Didactic Engineering of Sciences and Mathematics, Regional Center of Education and Training (CRMEF) of Fez. Rue Koweit, P.B 49 Agdal, 30050, Fes, Morocco.
Lamiae AmaadourMedical Oncology Department, Hassan II University Hospital, Route Sidi Harazem, 30070, Fez, Morocco.
Majid OmariLaboratory of Natural Substances, Pharmacology, Environment, Modeling, Health & Quality of Life, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, P. B 1796 Atlas, 30003, Fez, Morocco.
Achraf E L AsriILaboratory of Epidemiology and Research in Health Sciences, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, 2.200 Route Sidi Harazem, 30070, Fez, KM, Morocco.
Mariam AtassiLaboratory of Epidemiology, Clinical Research, and Public Health, Faculty of Medicine and Pharmacy, Mohamed I University, BP724 Hay Al Quods, 60000, Oujda, Morocco.
Zineb BenbrahimMedical Oncology Department, Hassan II University Hospital, Route Sidi Harazem, 30070, Fez, Morocco.
Nawfel MellasMedical Oncology Department, Hassan II University Hospital, Route Sidi Harazem, 30070, Fez, Morocco.
Karima E L RhaziLaboratory of Epidemiology and Research in Health Sciences, Faculty of Medicine and Pharmacy, Sidi Mohamed Ben Abdellah University, 2.200 Route Sidi Harazem, 30070, Fez, KM, Morocco.
Karima HalimLaboratory of Natural Substances, Pharmacology, Environment, Modeling, Health & Quality of Life, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, P. B 1796 Atlas, 30003, Fez, Morocco.
Btissame ZarrouqTeachers Training College (Ecole Normale Superieure), Department of Biology and Geology, Sidi Mohamed Ben Abdellah University, P. B 5206 Bensouda, 30030, Fez, Morocco. btissame.zarrouq@usmba.ac.ma.ORCID http://orcid.org/0000-0002-2996-8459

Funding

Moffitt Cancer Center 5D43TW009804
6 · The paper itself

Abstract

backgroundThe Mini-Mental Adjustment to Cancer Scale (Mini-MAC) instrument is commonly used worldwide by professionals of oncology, but the scale has not, up to date, been validated in Arabic and Moroccan context, and there is an absence of data in the Moroccan population. This study aims to validate the Mini-MAC, translated and adapted to the Arabic language and Moroccan culture, in women with breast cancer.

methodsData were analyzed in two successive phases. First, exploratory factor analysis (EFA) was used to assess the factor structure in the pilot sample (N = 158). Then, this structure was confirmed in the validation sample (N = 203) using confirmatory factor analysis (CFA).

resultsConfirmatory factor analysis confirmed Watson's original structure underlying the Mini-MAC items: Helpless/Hopeless, Anxious Preoccupation, Fighting Spirit, Cognitive Avoidance, and Fatalism. Absolute, incremental, and parsimonious fit indices showed a highly significant level of acceptance confirming a good performance of the measurement model. The instrument showed sufficient reliability and convergent validity demonstrated by acceptable values of composite reliability (CR =0.93-0.97), and average variance extracted (AVE = 0.66-0.93), respectively. The square roots of AVE were higher than factor-factor pairs correlations, and the Heterotrait-Monotrait ratio of correlations values were lesser than 0.85, indicating acceptable discriminant validity.

conclusionsreliability; and both convergent and discriminant validity tests indicated that the Arabic version of the Mini-MAC had a good performance and may serve as a valid tool measuring psychological responses to cancer diagnosis and treatment.

Indexed as

Adaptation, PsychologicalEmotionsAdultAgedAged, 80 and overAnxietyAvoidance LearningBreast NeoplasmsFactor Analysis, StatisticalFemaleHumansLanguageMiddle AgedMoroccoPessimismPsychological TestsAdjustmentCancerMini-MACOncologyPsychometricValidity

Identifiers

PMID34544362
PMCPMC8454091

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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.