The objectives of this study were to (i) develop a self-report instrument to measure adjustment to chronic illness, (ii) evaluate its core structure and (iii) study various psychometric properties in the development of this instrument.
Method
The entire process of developing and validating the instrument is conducted in different phases: item writing and content validation; exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to extract dimensions of the instrument; reliability and validity testing. A total of 1095 participants were included in the study. The EFA was run using IBM SPSS 23 and CFA was done by AMOS 21.
Results
The Cronbach alpha of the chronic illness adjustment scale was found to be .70. The instrument correlates positively with illness perception and well-being which supports the notion that the chronic illness adjustment scale has satisfactory convergent validity.
Discussion
The multifaceted nature of the chronic illness adjustment scale can serve as a global indicator of adjustment to chronic illness, allowing various interventions to flow toward the healthcare arena.
MayoL. Guides to action on chronic illness. Vol. 35. New York: National Health Council; 1956.
2.
RamBThakurR. Epidemiology and economic burden of continuing challenge of infectious diseases in India: analysis of socio-demographic differentials. Front Public Health2022; 10: 901276. PMID: 35844858; PMCID: PMC9279679.
St SauverJLBoydCMGrossardtBR, et al.Risk of developing multimorbidity across all ages in an historical cohort study: differences by sex and ethnicity. BMJ Open2015; 5: e006413.
5.
GoldbeckL. The impact of newly diagnosed chronic paediatric conditions on parental quality of life. Qual Life Res2006; 15: 1121–1131.
6.
WilliamsonLThomBStimsonG,et al.Stigma as a public health tool: implications for health promotion and citizen involvement. Int J Drug Policy2014; 25: 333–335.
7.
RogersRW. A protection motivation theory of fear appeals and attitude change1. J Psychol1975; 91: 93–114.
8.
Moss-MorrisR. Adjusting to chronic illness: time for a unified theory.
9.
CharmazK. Measuring pursuits, marking self: meaning construction in chronic illness. Int J Qual Stud Health Well-Being2006; 1: 27–37.
10.
American Psychological Association. APA dictionary of psychology: social support.
11.
MykletunABjerkesetOOverlandS, et al.Levels of anxiety and depression as predictors of mortality: the HUNT study. Br J Psychiatry2009; 195: 118–125.
12.
SachdevPSBlackerDBlazerDG, et al.Classifying neurocognitive disorders: the DSM-5 approach. Nat Rev Neurol2014; 10: 634–642.
13.
MazzaSFrotMReyAE. A comprehensive literature review of chronic pain and memory. Prog Neuro-Psychopharmacol Biol Psychiatry2018; 87: 183–192.
14.
MaslowGRHaydonAMcReeAL, et al.Growing up with a chronic illness: social success, educational/vocational distress. J Adolesc Health2011; 49: 206–212.
15.
HoytMAStantonAL. Adjustment to chronic illness. Handb Health Psychol2018: 179–194.
16.
HaggerMSKochSChatzisarantisNL,et al.The common-sense model of self-regulation: meta-analysis and test of a process model. Psychol Bull2017; 143: 1117.
17.
LeventhalHBenyaminiYBrownleeS, et al.Illness representations: theoretical foundations. Percept Health Illness1997; 2: 19–46.
18.
WeinmanJPetrieKJ. Illness perceptions: a new paradigm for psychosomatics?J Psychosom Res1997; 42: 113–116.
19.
JørgensenILFrederiksenKBoesenE, et al.An exploratory study of associations between illness perceptions and adjustment and changes after psychosocial rehabilitation in survivors of breast cancer. Acta Oncol (Madr)2009; 48: 1119–1127.
20.
BassiMGrobberioMNegriL, et al.The contribution of illness beliefs, coping strategies, and social support to perceived physical health and fatigue in multiple sclerosis. J Clin Psychol Med Settings2021; 28: 149–160.
21.
NagyovaIStewartREMacejovaZ, et al.The impact of pain on psychological well-being in rheumatoid arthritis: the mediating effects of self-esteem and adjustment to disease. Patient Educ Couns2005; 58: 55–62.
LambertMJBurlingameGMUmphressV, et al.The reliability and validity of the outcome questionnaire. Clin Psychol Psychother1996; 3: 249–258.
24.
CruzRAPetersonAPFaganC, et al.Evaluation of the brief adjustment scale-6 (BASE-6): a measure of general psychological adjustment for measurement-based care. Psychol Serv2020; 17: 332.
25.
FeltonBJRevensonTAHinrichsenGA. Stress and coping in the explanation of psychological adjustment among chronically ill adults. Soc Sci Med1984; 18: 889–898.
26.
SuzukiAIshikawaHOkadaM. Development, validation, and internal consistency of the positive psychology-based acceptance of illness scale (PAIS): a culturally-appropriate Japanese measure. SAGE Open2021; 11: 21582440211058197.
27.
WaltzCFBausellBR. Nursing research: design statistics and computer analysis. Davis Fa1981: 101–116.
28.
YaghmaleF. Content validity and its estimation. J Med Educ2003; 3: 25–27.
29.
DrostEA. Validity and reliability in social science research. Educ Res Perspec2011; 38: 105–123.
30.
ThompsonB. Exploratory and confirmatory factor analysis: understanding concepts and applications. American Psychological Association: Washington, DC2004; 10694(000).
BogdanIGherasim-DiaconuLR. Psychological well-being and adjustment to illness of adolescents with cancer. Ann AII Cuza Univ. Psychology Series2018; 27: 45–59.
33.
HoR. Univariate and multivariate data analysis with IBM SPSS. 2014.
34.
KaiserHF. An index of factorial simplicity. Psychometrika1974; 39: 31–36.
35.
BaumgartnerHHomburgC. Applications of structural equation modeling in marketing and consumer research: a review. Int J Res Mark1996; 13: 139–161.
36.
HuLTBentlerPM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model: A Multidiscip J1999; 6: 1–55.
37.
PreacherKJMacCallumRC. Exploratory factor analysis in behavior genetics research: factor recovery with small sample sizes. Behav Genet2002; 32: 153–161.
38.
Rossi FerrarioSPanzeriACeruttiP,et al.The psychological experience and intervention in post-acute COVID-19 inpatients. Neuropsychiatr Dis Treat2021; 17: 413–422.
39.
FortneyJCPyneJMWard-JonesS, et al.Implementation of evidence-based practices for complex mood disorders in primary care safety net clinics. Families Systems Health2018; 36: 267.
