Portuguese validation of the Regret Intensity Scale (RIS-10) for measuring the intensity of regret associated with the provision of attention in health

Fabiana Rosa Neves Smiderle; Valmin Ramos-Silva; Stela Maris de Jezus Castro; Delphine Sophie Courvoisier; Rita Mattiello

doi:10.17533/udea.iee.v39n3e09

Authors

Fabiana Rosa Neves Smiderle Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória https://orcid.org/0000-0001-5624-6673
Valmin Ramos-Silva Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória
Stela Maris de Jezus Castro Universidade Federal do Rio Grande do Sul https://orcid.org/0000-0001-5862-6709
Delphine Sophie Courvoisier Hôpitaux Universitaires de Genève https://orcid.org/0000-0002-1956-2607
Rita Mattiello Pontifícia Universidade Católica

DOI:

https://doi.org/10.17533/udea.iee.v39n3e09

Keywords:

emotions, health personnel, psychological adaptation, psychometrics, validation studies

Abstract

Objective. The aim of the study was to adapt and validate the Regret Intensity Scale-10 (RIS-10) for Brazilian health professionals.

Methods. The validation study took place in two phases, in which the first was the translation of the instruments and the second, the field validation using psychometric properties validity and reliability of the scale with 341 professionals (doctors, nurses and physiotherapists) linked to hospitals. Validity was assessed using content validities (six judges evaluation), criteria (correlation with the Life Satisfaction Scale - SWLS and Self-Reporting Questionnaire 20 -SRQ-20) and construct (exploratory analysis using the rotation method Promax, based on the slope graph and the Kaiser criterion and confirmatory using the structural equation model) after applying the questionnaire to professionals.Reliability was measured by Cronbach's α coefficient and retest test over a maximum period of 30 days. Reproducibility was calculated by intraclass correlation.

Results. A total of 341 professionals participated, with an average age of 38.6 ± 9.2 years. The content validity index (CVI) was 1.00, for all items of the scale in the proportion of agreement of the judges. Exploratory factor analysis showed a satisfactory correlation (Kaiser-Meyer-Olkin = 0.88), suggesting a two-factor model, which comprises the main components of the emotion of regret (Factor I – emoticons, Factor II - feelings), accounting for 64% of the total variation of the first factor. In the confirmation, the index standardized root mean squared residual = 0.063 was close to the acceptable and other values were below. The scale correlated positively with SRQ-20 (p < 0.001) and negatively with SLWS (p = 0.003). Reliability showed (Cronbach’s α = 0.863) and test–retest reliability showed lower values than expected. The Bland-Altman graph showed a mean bias of -1.5 with lower and upper limits of 15.8 to 12.8 respectively.

Conclusion. The RIS-10 adapted for the population performed adequately in the psychometric properties evaluated for the assessment of the intensity of regret related to the provision of health care.

|Abstract

= 800 veces | PDF

= 309 veces| | HTML INGLES

= 19 veces| | PMC

= 0 veces|

Downloads

Download data is not yet available.

Author Biographies

Fabiana Rosa Neves Smiderle , Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória

Enfermeira. Doutora. Professora da Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória, EMESCAM, Espírito Santo, Brazil. Email: fabiana.neves@emescam.br

Valmin Ramos-Silva, Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória

Médico. Doutor. Professora. Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória, EMESCAM, Espírito Santo, Brazil. Email: valmin.silva@gmail.com

Stela Maris de Jezus Castro , Universidade Federal do Rio Grande do Sul

Estatística. Doutora. Professora Universidade Federal do Rio Grande do Sul, Brazil. Email: stela.castro@ufrgs.br

Delphine Sophie Courvoisier, Hôpitaux Universitaires de Genève

Bioestatística. Doutora. Professora Hôpitaux Universitaires de Genève, Swiss. Email: delphine.courvoisier@hcuge.ch

Rita Mattiello , Pontifícia Universidade Católica

Fisioterapeuta. Doutora. Professora Pontifícia Universidade Católica, Porto Alegre, Rio Grande do Sul, Brazil. Email: rita.mattiello@pucrs.br. Corresponding author

References

1. Courvoisier DS, Cullati S, Ouchi R, Schmidt RE, Haller G, Chopard P, et al. Validation of a 15-item Care-related Regret Coping Scale for Health-care Professionals (RCS-HCP). J Occup Health [Internet]. 2014;56(6):430–43. Available from: https://www.jstage.jst.go.jp/article/joh/56/6/56_14-0060-OA/_article

2. Cheval B, Cullati S, Mongin D, Schmidt RE, Lauper K, Pihl-Thingvad J, et al. Associations of regrets and coping strategies with job satisfaction and turnover intention: International prospective cohort study of novice healthcare professionals. Swiss Med. Wkly. 2019; 149(w20074):1–8.

3. Groopman J, Hartzband P. The Power of Regret. N. Engl. J. Med. 2017; 377(16):1507–9.

4. Joseph-williams N, Edwards A, Elwyn G. The importance and complexity of regret in the measurement of “good” decisions : a systematic review and a content analysis of existing assessment instruments. Heal Expect. 2010; 14:59–83.

5. Savoia MG, Amadera RD. A Utilização da Versão Brasileira do Inventário de Estratégias de Coping em Pesquisas da Área da Saúde. Psicol. Hosp. 2016; 14(1):117–38.

6. Richner SC, Cullati S, Cheval B, Schmidt RE, Chopard P, Meier CA, et al. Validation of the German version of two scales (RIS, RCS-HCP) for measuring regret associated with providing healthcare. Health Qual. Life Outcomes. 2017; 15(1):1–11.

7. Courvoisier DS, Cullati S, Haller CS, Schmidt RE, Haller G, Agoritsas T, et al. Validation of a 10-item Care-related Regret Intensity Scale (RIS-10) for Health Care Professionals. Med. Care]. 2013; 51(3):285–91.

8. Santos KOB, Carvalho FM, Araújo TM. Consistência interna do self-reporting questionnaire-20 em grupos ocupacionais. Rev Saude Publica. 2016; 50(6):1–10.

9. Zanon C, Bardagi MP, Layous K, Hutz CS. Validation of the Satisfaction with Life Scale to Brazilians: Evidences of Measurement Noninvariance Across Brazil and US. Soc. Indic. Res. 2014; 119(1):443–53.

10. Acquadro C, Conway K, Hareendran A, Aaronson N. Literature review of methods to translate health-related quality of life questionnaires for use in multinational clinical trials. Value Heal. 2008; 11(3):509–21.

11. Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures. Spine. 2000; 25(24):3186–91.

12. Polit DF, Beck CT, Owen S V. Is the CVI an Acceptable Indicator of Content Validity? Appraisal and Recommendations. Res. Nurs. Health. 2007; 30:459–67.

13. Preto LT, Scarpatto CH, Silveira C, Moreno JP. Validation of the Family Health Behavior Scale for the Brazilian Population. Reseach Sq. 2020; 1–21.

14. Li H, Rosenthal R, Rubin DB. Reliability of Measurement in Psychology: From Spearman-Brown to Maximal Reliability. Psychol Methods. 1996;1(1):98–107.

15. Taber KS. The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Res. Sci. Educ. 2018; 48(6):1273–96.

16. Safizadeh, H., Nakhaee, N., Shamsi-meymandi, S. et al. Confiabilidade e validade preliminares da versão persa do Family Dermatology Life Quality Index (FDLQI). Qual. Life Res. 2014; 23: 869–75.

17. Groppe DM, Makeig S, Kutas M. Identifying reliable independent components via Split-half comparisons. Neuroimage. 2009; 45(4):1199–211.

18. Terwee CB, Bot SDM, Boer MR De, Windt AWM Van Der, Knol DL, Dekker J. Quality criteria were proposed for measurement properties of health status questionnaires. Clin. Epidemiol. 2007; 60:34–42.

19. Streiner DL, Kottner J. Recommendations for reporting the results of studies of instrument and scale development and testing. J. Adv. Nurs. 2014; 70(9):1970–9.

20. Verkuilen J, Bianchi R, Schonfeld IS, Laurent E. Burnout–Depression Overlap: Exploratory Structural Equation Modeling Bifactor Analysis and Network Analysis. Assessment. 2020.

21. Buchanan J, Summerville A, Lehmann J, Reb J. The regret elements scale: Distinguishing the affective and cognitive components of regret. Judgm Decis Mak. 2016; 11(3):275–86.

22. Becerra Pérez MM, Menear M, Brehaut JC, Légaré F. Extent and Predictors of Decision Regret about Health Care Decisions. Med. Decis. Mak. 2016; 36(6):777–90.

23. Hong P, Maguire E, Purcell M, Ritchie KC, Chorney J. Decision-making quality in parents considering adenotonsillectomy or tympanostomy tube insertion for their children. JAMA Otolaryngol - Head Neck Surg. 2017; 143(3):260–6.

24. Hoerzer S, Trudeau M, Edwards WB, Nigg BM. Intra-rater reliability of footwear-related comfort assessments. Footwear Sci. 2016; 8(3):155–63.

25. Ramada-Rodilla JM, Serra-Pujadas C, Delclós-Clanchet GL. Adaptación cultural y validación de cuestionarios de salud: Revisión y recomendaciones metodológicas. Salud Publica Mex. 2013; 55(1):57–66.

26. Tsang S, Royse CF, Terkawi A. Guidelines for developing, translating, and validating a questionnaire in perioperative and pain medicine. Saudi J Anesth. 2017; 11(5):80–9.

27. Wechsler SM, Hutz CS, Primi R. O desenvolvimento da avaliação psicológica no Brasil: Avanços históricos e desafios. Ver. Avaliação Psicológica. 2019; 18(02):121–8.

28. PROADESS - Projeto Avaliação do Desempenho do Sistema de Saúde. Monitoramento da assistência hospitalar no Brasil (2009-2017) [Internet]. 2019. Available from: https://www.proadess.icict.fiocruz.br/Boletim_4_PROADESS_Monitoramento%20da%20assistencia%20hospitalar_errata_1403.pdf

29. Rodríguez-Acelas AL, Cañon-Montañez W. Contribuciones de las escalas en salud como herramientas que influencian decisiones en el cuidado de los pacientes. Ver. Cuid. 2018; 9(1):1949–60.

30. Brasil, IBGE - Instituto Brasileiro de Geografia e Estatística. Projeção da população do Brasil por sexo e idade simples: 2000-2060 [Internet]. 2021 [cited 2021 Aug 18]. Available from: http://tabnet.datasus.gov.br/cgi/tabcgi.exe?ibge/cnv/projpopbr.def

31. Machado MH. Perfil da enfermagem no Brasil: relatório final: Brasil. Rio de Janeiro: NERHUS - DAPS - ENSP/Fiocruz; 2017.