Designing and psychometric evaluation of disease-related fear scale (D-RFS) in adults with epilepsy: A sequential exploratory mixed methods design

Shamsalinia, Abbas; Moradi, Mozhgan; Farahani, Mansoureh Ashghali; Masoudi, Reza; Ghadimi, Reza; Rad, Reza Ebrahimi; Ghaletaki, Gholamreza Zamani; Ghaffari, Fatemeh

doi:10.1016/j.yebeh.2020.107169

Cited by 10 publications

(9 citation statements)

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“…Construct validity primarily concerns with the degree to which a concept measures what it claims to measure. 36 Similar to a previous study, 37 a number of analyses were conducted to assess the construct validity, including EFA, CFA, as well as convergent and discriminant validity. The EFA demonstrated in phase 1 that the seven-factor structure accounted for 63.01% of the overall variance.…”

Section: Resultsmentioning

confidence: 99%

Development and validation of the health belief model questionnaire to promote smoking cessation for nasopharyngeal cancer prevention: a cross-sectional study

2022

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ObjectiveLifestyle-induced nasopharyngeal carcinoma is a serious but preventable risk factor. This study serves to develop and validate a questionnaire that aims to predict the health behavioural intention on smoking cessation in Sarawak, Malaysia using the Health Belief Model (HBM).DesignA cross-sectional study.SettingUrban and suburban areas in Sarawak, Malaysia.ParticipantsThe preliminary items of the instrument were developed after extensive literature review. The instrument was translated into the Malay language using the forward-backwards method before commencing with the content validity by a panel of 10 experts. Face validity was done both quantitatively and qualitatively by 10 smokers. The construct validity of the instrument was evaluated through exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). A total of 100 smokers participated in phase 1 for EFA, while 171 smokers participated in phase 2 for CFA. Internal consistency was measured using Cronbach’s alpha coefficients to evaluate the reliability.ResultsIn the exploratory stage, the factor loading of each item remained within the acceptable threshold. The final revised CFA yielded appropriate fit of the seven-factor model with the following model fit indices: χ2=641.705; df=500; p<0.001; comparative fit index=0.953; Tucker-Lewis Index=0.948; root mean square error of approximation=0.041. Satisfactory convergent validity and divergent validity were shown, with the exception of one pairwise construct. The internal reliability of these scales was above the desirable threshold, with Cronbach’s alpha coefficients ranging from 0.705 to 0.864 and 0.838 to 0.889 in phases 1 and 2, respectively.ConclusionsThe study substantiated the instrument to be valid and reliable for predicting smokers’ health behavioural intention to reduce cancer risk. The instrument is made up of 34 items, categorised into two sections, six HBM constructs and health behavioural intention. The instrument can be utilised for other smoking cessation-related cancers in different at-risk populations.

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Section: Resultsmentioning

confidence: 99%

Development and validation of the health belief model questionnaire to promote smoking cessation for nasopharyngeal cancer prevention: a cross-sectional study

2022

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“…We identified four further questionnaires by reading the reference lists of relevant publications and following the recommendation lists at PubMed. Except the Social Phobia Inventory ( 19 ), these are methodologically quite different attempts to capture epilepsy-specific anxiety: Bhalla-Gharagozli Fear in Epilepsy Questionnaire ( 20 ), Disease-related Fear Scale ( 21 ), Fear of Seizures Scale (modified version) ( 22 ). Table 1 gives an overview of the questionnaires discussed in our review.…”

Section: Resultsmentioning

confidence: 99%

“…Shamsalinia et al ( 21 ) designed and psychometrically evaluated a disease-related fear scale for PWE. Thirty items are included, divided into fear of the consequences of seizures and fear of long-term damage from the disease.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Anxiety in Patients With Epilepsy: A Literature Review

2022

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ObjectiveApproximately 20% of people with epilepsy (PWE) suffer from anxiety. These fears are quite diverse and may manifest periictally or interictally, be part of the seizure's semiology, or an expression of reactive psychological distress from seizures themselves. Our review addresses the question of what screening tools are used in clinical care and epileptological research to capture the complexity of epilepsy-specific anxieties.MethodOn 2021/11/11, we entered a search string in PubMed that covered our research interest as completely as possible. We also screened the bibliographies of our findings and followed PubMed's recommendations. From the assessments we found in the included studies, we extracted domains that represent the range of manifestations of anxiety, in order to compare the tools and to discuss to what extent they are suitable for assessing epilepsy-specific anxieties.ResultsWe screened 1,621 abstracts. In total, we identified 24 different anxiety assessments. In addition to the psychiatric assessments in use, we found 7 tools that were designed to assess epilepsy-specific anxieties. The latter focus on different aspects of epilepsy-specific anxieties. In some cases, the conceptual frameworks are not sufficiently transparent or divergent.ConclusionBecause a diagnosis of epilepsy can result in, or seizures may appear as, anxiety, it is important to better understand this psychological burden and address it therapeutically, if necessary. There is a need for screening tools that integrate specific points of a variety of assessments, so as to cover the broad range of epilepsy-specific fears. None of the assessments we found meets this integrative perspective. At the same time, the appropriate design of such a required tool presupposes a conceptual framework of what should be considered as epilepsy-specific anxiety.

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“…Notably, fear constitutes a notable symptom frequently linked to generalized anxiety disorder ( 5 , 6 ). Disease-related fears are connected to the unfavorable ramifications of the condition, encompassing seizures, the persistent nature of the ailment, the therapeutic regimen, as well as the psychological aftermath of the sickness ( 7 , 8 ). This includes sensations of distinctiveness, deviance from the norm, discomfort, self-endangerment, and posing risks to both oneself and others ( 9 ).…”

Section: Introductionmentioning

confidence: 99%

“…This negative emotion can potentially trigger “overcompensation behaviors” in patients with epilepsy, as they attempt to gain control over or alleviate their concerns related to epilepsy. These behaviors may include avoiding social activities, restricting daily activities to reduce the risk of injury, seeking frequent medical attention to ensure their health status, overly relying on family or friends, avoiding solitude, and so on ( 4 , 6 , 7 ). While these behaviors might offer some short-term emotional relief, in the long run, they could limit the patients’ quality of life, social interactions, and daily activities.…”

Section: Introductionmentioning

confidence: 99%

Fear of disease in patients with epilepsy – a network analysis

Yin,

Niu,

et al. 2024

Front. Neurol.

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BackgroundDisease-related fear among patients with epilepsy has significantly impacted their quality of life. The Disease-Related Fear Scale (D-RFS), comprising three dimensions, serves as a relatively well-established tool for assessing fear in these patients. However, certain problems potentially exist within the D-RFS’s attribution of items, and its internal structure is still unclear. To establish an appropriate dimensional structure and gain deeper comprehension of its internal structure—particularly its core variables—is vital for developing more effective interventions aimed at alleviating disease-related fear among patients with epilepsy.MethodsThis study employed a cross-sectional survey involving 609 patients with epilepsy. All participants underwent assessment using the Chinese version of the D-RFS. We used exploratory network analysis to discover a new structure and network analysis to investigate the interrelationships among fear symptom domains. In addition to the regularized partial correlation network, we also estimated the node and bridge centrality index to identify the importance of each item within the network. Finally, it was applied to analyze the differences in network analysis outcomes among epilepsy patients with different seizure frequencies.ResultsThe research findings indicate that nodes within the network of disease-related fear symptoms are interconnected, and there are no isolated nodes. Nodes within groups 3 and 4 present the strongest centrality. Additionally, a tight interconnection exists among fear symptoms within each group. Moreover, the frequency of epileptic episodes does not significantly impact the network structure.ConclusionIn this study, a new 5-dimension structure was constructed for D-RFS, and the fear of disease in patients with epilepsy has been conceptualized through a network perspective. The goal is to identify potential targets for relevant interventions and gain insights for future research.

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Designing and psychometric evaluation of disease-related fear scale (D-RFS) in adults with epilepsy: A sequential exploratory mixed methods design

Cited by 10 publications

References 49 publications

Development and validation of the health belief model questionnaire to promote smoking cessation for nasopharyngeal cancer prevention: a cross-sectional study

Development and validation of the health belief model questionnaire to promote smoking cessation for nasopharyngeal cancer prevention: a cross-sectional study

Assessment of Anxiety in Patients With Epilepsy: A Literature Review

Fear of disease in patients with epilepsy – a network analysis

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