Development and validation of a quantitative tool for assessment of sense of grip on disease among PL-HIV: a confirmatory factor analysis

Shuvajit Roy; Lina Bandyopadhyay; Monalisha Sahu; Dolanchampa Modak; Bobby Paul

doi:10.18203/2394-6040.ijcmph20244031

Authors

Shuvajit Roy Department of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India
Lina Bandyopadhyay Department of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India
Monalisha Sahu Department of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India
Dolanchampa Modak Department of Tropical Medicine, School of Tropical Medicine, Kolkata, West Bengal, India
Bobby Paul Department of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20244031

Keywords:

Cronbach’s alpha, Chronic diseases, Confirmatory factor analysis, Tool validation, Sense of grip on disease

Abstract

Background: Every chronic illness involves specific physical, social, and psychological care. Patients must comprehend their diagnosis (sense) and gain control over the ailment (grip on the disease). The sense of grip on disease (SoGoD) of a person living with chronic disease can be explored using narrative interviews which are lengthy, and often subjective. Thus, there is a need for an objective quantitative tool to assess SoGoD status. Oour objective was to develop a quantitative tool for the assessment of a sense of grip on disease based on the SoGoD model.

Methods: This institution-based tool development study was conducted among 120 PL-HIV visiting the ART center of a tertiary care hospital in Kolkata in 2023. Based on the deductive approach and literature review, a five-construct SoGoD tool was made, subsequently validated by three domain experts, pre-tested, and revised. Revised version used for data collection. Confirmatory factor analysis and reliability analysis were performed for the tool validation.

Results: A 15-item tool well mounted on five theoretical constructs of SoGoD was confirmed. Each item responded to a five-point Likert scale of one to five, considering the imposed weight, the global SoGoD score ranges from 3 to 15. A higher score indicates a higher sense of grip. The cut-off value was found to be seven. The tool was internally consistent with Cronbach’s alpha of 0.883.

Conclusions: Sense of grip on disease is a relatively simple, easy-to-apply tool but the cut-off needs to be contextualized based on setting and population.

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References

World Health Organization. Noncommunicable Diseases Global Monitoring Framework: Indicator Definitions and Specifications. World Health Organisation. Available from: https://www.who.int/publications/m/item/noncommunicable-diseases-global-monitoring-framework-indicator-definitions-and-specifications. Accessed on 7 July 2023.

NCD Countdown 2030 collaborators. NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. Lancet Lond Engl. 2018;392(10152):107-88.

Aujoulat I, Marcolongo R, Bonadiman L, Deccache A. Reconsidering patient empowerment in chronic illness: a critique of models of self-efficacy and bodily control. Soc Sci Med 1982. 2008;66(5):1228-39.

Asbring P. Chronic illness- a disruption in life: identity-transformation among women with chronic fatigue syndrome and fibromyalgia. J Adv Nurs. 2001;34(3):312-9.

Maiello A, Auriemma E, De Luca Picione R, Pacella D, Freda MF. Giving meaning to non-communicable illness: mixed-method research on sense of grip on disease (SoGoD). Healthcare Basel Switz. 2022;10(7):1309.

De Luca Picione R, Freda MF. Borders and modal articulations. semiotic constructs of sensemaking processes enabling a fecund dialogue between cultural psychology and clinical psychology. Integr Psychol Behav Sci. 2016;50(1):29-43.

Salvatore S, Freda M. Affect, unconscious and sensemaking. A psychodynamic, semiotic and dialogic model. New Ideas Psychol. 2011;29(2):119-35.

Gorsuch RL. Factor Analysis. 2nd edn. New York: Psychology Press; 1983:448.

DeVellis RF. Scale Development: Theory and Application. 4th edn. New Delhi: SAGE Publications Inc.; 2017.

Brown TA. Confirmatory Factor Analysis for Applied Research. 2nd edn. New York: Guilford Publications; 2015:482.

Roos JM, Bauldry S. Confirmatory Factor Analysis; vol. 189 (Quantitative applications in the social sciences). USA: SAGE Publications Inc.; 2021.

University of California, Los Angeles (UCLA). A Practical Introduction to Confirmatory Factor Analysis (CFA). Available from: https://stats.oarc.ucla.edu/r/seminars/rcfa/. Accessed on 31 March 2024.

Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16(3):297-334.

Tavakol M, Dennick R. Making sense of Cronbach’s alpha. Int J Med Educ. 2011;2:53-5.

Zijlmans EAO, Tijmstra J, van der Ark LA, Sijtsma K. Item-score reliability in empirical-data sets and its relationship with other item indices. Educ Psychol Meas. 2018;78(6):998-1020.

Piedmont RL, Hyland ME. Inter-item correlation frequency distribution analysis: a method for evaluating scale dimensionality. Educ Psychol Meas. 1993;53(2):369-78.

Arumugam B, Suganya E, Nagalingam S. Derivation of cut-off value for a 10 item opinion based ordinal survey questionnaire. Int J Community Med Public Health. 2018;5(1030):10-8203.

Barua A, Kademane K, Das B, Kumar S, Verma R, Al-Dubai S. A tool for decision-making in norm-referenced survey questionnaires with items of ordinal variables. Int J Collab Res Intern Med Public Health. 2014;6(3).

MacCallum R, Widaman K, Zhang S, Hong S. Sample size in factor analysis. Psychol Methods. 1999;4:84-99.