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Originalarbeit

Das Angstbewältigungsinventar für medizinische Situationen (ABI-MS)

Published Online:https://doi.org/10.1026/0012-1924/a000233

Zusammenfassung. Das „Angstbewältigungsinventar für medizinische Situationen“ (ABI-MS) ist ein Situations-Reaktions-Inventar, das habituelle Präferenzen für den Einsatz kognitiv vermeidender und vigilanter Bewältigungsstrategien in potenziell bedrohlichen medizinischen Kontexten messen soll. Im ABI-MS, das sich konzeptuell und methodisch an das Angstbewältigungs-Inventar (ABI; Krohne & Egloff, 1999) anlehnt, werden 4 Szenarien vorgegeben (Blutabnahme, Schnittwunde, Darmspiegelung und Narkose), in die sich die Personen hineinversetzen sollen. Zu jedem Szenario werden jeweils 4 kognitiv vermeidende und 4 vigilante Reaktionsoptionen gegeben, deren Zutreffen die Personen beurteilen. In der vorliegenden Untersuchung wurden Struktur und psychometrische Qualität des ABI-MS geprüft. Konfirmatorische Faktorenanalysen (N = 2 131) auf der Basis des Zwei-Parameter Logistischen Item-Response-Modells bestätigen die Annahme zweier situationsübergreifender Faktoren der Angstbewältigung in medizinischen Kontexten. Das Inventar erreicht zufriedenstellende Reliabilitäten. Eine Retest-Untersuchung belegt, dass primär habituelle Präferenzen erfasst werden. Korrelationen mit Verfahren zur Messung von Angstbewältigung und Persönlichkeitseigenschaften geben Hinweise auf die konvergente und diskriminante Validität des ABI-MS.


The Coping Inventory for Medical Situations (CIM)

Abstract. The Coping Inventory for Medical Situations (CIM) is a stimulus–response inventory designed to measure habitual preferences for using cognitive avoidance and vigilance in potentially threatening medical contexts. In the CIM, which is conceptually and methodically based on the Mainz Coping Inventory (MCI; Krohne & Egloff, 1999), four scenarios are described (venipuncture, wound care of a cut injury, colonoscopy, and narcosis prior to surgery). For each scenario, four avoidant and four vigilant response options are presented. Participants indicate which of the response options they generally use in a given scenario. The present study examined the structure and psychometric quality of CIM. Factor analyses based on the two-parameter logistic item response model (N = 2,131) confirmed the assumption of the existence of two primary factors of coping with anxiety in medical contexts. The scales of the inventory achieve satisfactory reliabilities. Test–retest correlations showed that the inventory primarily assesses habitual preferences. Correlations with measures of coping and personality traits indicated the convergent and discriminant validity of the CIM.

Literatur

  • Bingel, U., Wanigasekera, V., Wiech, K., Mhuircheartaigh, R. N., Lee, M. C., Ploner, M. & Tracey, I. (2011). The effect of treatment expectation on drug efficacy: Imaging the analgesic benefit of the opioid remifentanil. Science Translational Medicine, 3 (70), 70ra14 – 70ra14 https://doi.org/10.1126/scitranslmed.3001244 First citation in articleCrossrefGoogle Scholar

  • Bock, R. D., Gibbons, R. & Muraki, E. (1988). Full-information item factor analysis. Applied Psychological Measurement, 12, 261 – 280. https://doi.org/10.1177/014662168801200305 First citation in articleCrossrefGoogle Scholar

  • Borkenau, P. & Ostendorf, F. (2008). NEO-Fünf-Faktoren-Inventar nach Costa & McCrae (2. Aufl.). Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Boss, E. F., Mehta, N., Nagarajan, N., Links, A., Benke, J. R., Berger, Z. et al. (2016). Shared decision making and choice for elective surgical care: A systematic review. Otolaryngology – Head and Neck Surgery, 154, 405 – 420. https://doi.org/10.1177/0194599815620558 First citation in articleCrossrefGoogle Scholar

  • Brown, A. & Croudace, T. J. (2015). Scoring and estimating score precision using multidimensional IRT. In S. P. ReiseD. A. Revicki (Eds.), Handbook of Item Response Theory modeling: Applications to typical performance assessment (pp. 307 – 333). New York: Taylor & Francis (Routledge). First citation in articleGoogle Scholar

  • Byrne, D. (1961). The repression-sensitization scale: Rationale, reliability, and validity. Journal of Personality, 29, 334 – 349. https://doi.org/10.1111/j.1467-6494.1961.tb01666.x First citation in articleCrossrefGoogle Scholar

  • Cai, L. (2010). A two-tier full-information item factor analysis model with applications. Psychometrika, 75, 581 – 612. https://doi.org/10.1007/s11336-010-9178-0 First citation in articleCrossrefGoogle Scholar

  • Chalmers, R. P. (2012). mirt: A multidimensional Item response theory package for the R environment. Journal of Statistical Software, 48 (6), 1 – 29. https://doi.org/10.18637/jss.v048.i06 First citation in articleCrossrefGoogle Scholar

  • Chalmers, R. P. (2018). Multidimensional Item Response Theory. R package version 1.27.1. Retrieved from https://cran.r-project.org/web/packages/mirt/ First citation in articleGoogle Scholar

  • Chan, I. S. & Ginsburg, G. S. (2011). Personalized medicine: Progress and promise. Annual Review of Genomics and Human Genetics, 12, 217 – 244. https://doi.org/10.1146/annurev-genom-082410-101446 First citation in articleCrossrefGoogle Scholar

  • Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297 – 334. https://doi.org/10.1007/BF02310555 First citation in articleCrossrefGoogle Scholar

  • Fekrat, F., Sahin, A., Yazici, K. M. & Aypar, U. (2006). Anaesthetists’ and surgeons’ estimation of preoperative anxiety by patients submitted for elective surgery in a university hospital. European Journal of Anaesthesiology, 23, 227 – 233. https://doi.org/10.1017/S0265021505002231 First citation in articleCrossrefGoogle Scholar

  • Feldman, L. S., Lee, L. & Fiore, J. (2015). What outcomes are important in the assessment of Enhanced Recovery After Surgery (ERAS) pathways? Canadian Journal of Anesthesia, 62 (2), 120 – 130. https://doi.org/10.1007/s12630-014-0263-1 First citation in articleCrossrefGoogle Scholar

  • Gesundheitsberichterstattung des Bundes (2016). Operationen und Prozeduren der vollstationären Patientinnen und Patienten in Krankenhäusern. Bonn: Statistisches Bundesamt. Verfügbar unter www.destatis.de/DE/Publikationen/Thematisch/Gesundheit/Krankenhaeuser/OperationenProzeduren.html First citation in articleGoogle Scholar

  • Janis, I. L. (1958). Psychological stress: Psychoanalytic and behavioral studies of surgical patients. New York, NY: Wiley. First citation in articleCrossrefGoogle Scholar

  • Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford Press. First citation in articleGoogle Scholar

  • Kohlmann, C. W., Egloff, B. & Hock, M. (2002). Gender differences in coping strategies in students from Germany and the USA. In G. WeidneM. S. KopM. Kristenson (Eds.), Heart disease: Environment, stress, and gender (pp. 275 – 283). Amsterdam: I OS Press. First citation in articleGoogle Scholar

  • Kohlmann, C. W., Ring, C., Carroll, D., Mohiyeddini, C. & Bennett, P. (2001). Cardiac coping style, heartbeat detection, and the interpretation of cardiac events. British Journal of Health Psychology, 6, 285 – 301. https://doi.org/10.1348/135910701169214 First citation in articleCrossrefGoogle Scholar

  • Krohne, H. W. (1989). The concept of coping modes: Relating cognitive person variables to actual coping behavior. Advances in Behavior Research and Therapy, 11, 235 – 248. https://doi.org/10.1016/0146-6402(89)90027-1 First citation in articleCrossrefGoogle Scholar

  • Krohne, H. W. (2016). Stress und Stressbewältigung bei Operationen. Heidelberg: Springer. First citation in articleGoogle Scholar

  • Krohne, H. W. & Egloff, B. (1999). Manual: Das Angstbewältigungsinventar (ABI-R). Frankfurt am Main: Swets. First citation in articleGoogle Scholar

  • Krohne, H. W., Egloff, B., Varner, L. J., Burns, L. R., Weidner, G. & Ellis, H. C. (2000). The assessment of dispositional vigilance and cognitive avoidance: Factorial structure, psychometric properties, and validity of the Mainz Coping Inventory. Cognitive Therapy and Research, 24, 297 – 311. https://doi.org/10.1023/A:1005511320194 First citation in articleCrossrefGoogle Scholar

  • Krohne, H. W. & El-Giamal, M. (2008). Psychologische Operationsvorbereitung, Stressbewältigung und perioperativer Status. Zeitschrift für Gesundheitspsychologie, 16, 183 – 195. https://doi.org/10.1026/0943-8149.16.4.183 First citation in articleLinkGoogle Scholar

  • Krohne, H. W., El-Giamal, M. & Volz, C. (2003). Der Einfluss sozialer Unterstützung auf die prä- und postoperative Anpassung chirurgischer Patienten. Zeitschrift für Gesundheitspsychologie, 11, 132 – 142. https://doi.org/10.1026//0943-8149.11.4.132 First citation in articleLinkGoogle Scholar

  • Krohne, H. W. & Hock, M. (2011). Anxiety, coping strategies, and the processing of threatening information: Investigations with cognitive-experimental paradigms. Personality and Individual Differences, 50, 916 – 925. https://doi.org/10.1016/j.paid.2010.08.001 First citation in articleCrossrefGoogle Scholar

  • Krohne, H. W., Hock, M. & Kohlmann, C. W. (1992). Coping dispositions, uncertainty and emotional arousal. In K. T. Strongman (Ed.), International review of studies on emotion (Vol. 2, pp. 73 – 95). Chichester, UK: Wiley. First citation in articleGoogle Scholar

  • Krohne, H. W., Schmukle, S., Burns, L., Egloff, B. & Spielberger, C. D. (2001). The measurement of coping in achievement situations: An international comparison. Personality and Individual Differences, 30, 1225 – 1243. https://doi.org/10.1016/S0191-8869(00)00105-7 First citation in articleCrossrefGoogle Scholar

  • Laufenberg-Feldmann, R. & Kappis, B. (2013). Assessing preoperative anxiety using a questionnaire and clinical rating: A prospective observational study. European Journal of Anaesthesiology (EJA), 30, 758 – 763. https://doi.org/10.1097/EJA.0b013e3283631751 First citation in articleCrossrefGoogle Scholar

  • Laux, L., Hock, M., Bergner-Köther, R., Hodapp, V. & Renner, K. H. (2013). Das State-Trait-Angst-Depressions-Inventar (STADI). Göttingen: Hogrefe. First citation in articleGoogle Scholar

  • Ljungqvist, O., Scott, M. & Fearon, K. C. (2017). Enhanced recovery after surgery: A review. JAMA surgery, 152, 292 – 298. https://doi.org/10.1001/jamasurg.2016.4952 First citation in articleCrossrefGoogle Scholar

  • Maydeu-Olivares, A. & Joe, H. (2005). Limited- and full-information estimation and goodness-of-fit testing in 2 n contingency tables: A unified framework. Journal of the American Statistical Association, 100, 1009 – 1020. First citation in articleGoogle Scholar

  • Maydeu-Olivares, A. & Joe, H. (2006). Limited information goodness-of-fit testing in multidimensional contingency tables, Psychometrika, 71, 713 – 732. First citation in articleCrossrefGoogle Scholar

  • Maydeu-Olivares, A. & Joe, H. (2014). Assessing approximate fit in categorical data analysis. Multivariate Behavioral Research, 49, 305 – 328. https://doi.org/10.1080/00273171.2014.911075 First citation in articleCrossrefGoogle Scholar

  • Munafò, M. R. & Stevenson, J. (2001). Anxiety and surgical recovery. Reinterpreting the literature. Journal of Psychosomatic Research, 51, 589 – 596. https://doi.org/10.1016/S0022-3999(01)00258-6 First citation in articleCrossrefGoogle Scholar

  • Muris, P. & Schouten, E. (1994). Monitoring and blunting: A factor analysis of the Miller Behavioral Style Scale. Personality and Individual Differences, 17, 285 – 287. https://doi.org/10.1016/0191-8869(94)90032-9 First citation in articleCrossrefGoogle Scholar

  • Neville, A., Lee, L., Antonescu, I., Mayo, N. E., Vassiliou, M. C., Fried, G. M. & Feldman, L. S. (2014). Systematic review of outcomes used to evaluate enhanced recovery after surgery. British Journal of Surgery, 101, 159 – 171. https://doi.org/10.1002/bjs-9324 First citation in articleCrossrefGoogle Scholar

  • Noar, S. M., Benac, C. N. & Harris, M. S. (2007). Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological Bulletin, 133, 673 – 693. https://doi.org/10.1037/0033-2909.133.4.673 First citation in articleCrossrefGoogle Scholar

  • Renner, K. H., Hock, M., Bergner-Köther, R. & Laux, L. (2018). Differentiating anxiety and depression: The State-Trait Anxiety-Depression Inventory. Cognition and Emotion, 32, 1409 – 1423. https://doi.org/10.1080/02699931.2016.1266306 First citation in articleCrossrefGoogle Scholar

  • Rief, W., Shedden-Mora, M. C., Laferton, J. A., Auer, C., Petrie, K. J., Salzmann, S. et al. (2017). Preoperative optimization of patient expectations improves long-term outcome in heart surgery patients: Results of the randomized controlled PSY-HEART trial. BMC medicine, 15 (1), 4 https://doi.org/10.1186/s12916-016-0767-3 First citation in articleCrossrefGoogle Scholar

  • Ryu, E. (2011). Effects of skewness and kurtosis on normal-theory based maximum likelihood test statistic in multilevel structural equation modeling. Behavior Research Methods, 43, 1066 – 1074. https://doi.org/10.3758/s13428-011-0115-7 First citation in articleCrossrefGoogle Scholar

  • Seklehner, S., Engelhardt, P. F., Remzi, M., Fajkovic, H., Saratlija-Novakovic, Z., Skopek, M. et al. (2016). Anxiety and depression analyses of patients undergoing diagnostic cystoscopy. Quality of Life Research, 25, 2307 – 2314. https://doi.org/10.1007/s11136-016-1264-z First citation in articleCrossrefGoogle Scholar

  • Shay, L. A. & Lafata, J. E. (2015). Where is the evidence? A systematic review of shared decision making and patient outcomes. Medical Decision Making, 35, 114 – 131. https://doi.org/10.1177/0272989X14551638 First citation in articleCrossrefGoogle Scholar

  • Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74 (1), 107 – 120. https://doi.org/10.1007/s11336-008-9101-0 First citation in articleCrossrefGoogle Scholar

  • Steyer, R., Mayer, A., Geiser, C. & Cole, D. A. (2015). A theory of states and traits – revised. Annual Review of Clinical Psychology, 11, 71 – 98. https://doi.org/10.1146/annurev-clinpsy-032813-153719 First citation in articleCrossrefGoogle Scholar

  • Steiger, J. H. (1980). Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87, 245 – 251. First citation in articleCrossrefGoogle Scholar

  • Tamres, L. K., Janicki, D. & Helgeson, V. S. (2002). Sex differences in coping behavior: A meta-analytic review and an examination of relative coping. Personality and Social Psychology Review, 6 (1), 2 – 30. https://doi.org/10.1207/s15327957pspr0601_1 First citation in articleCrossrefGoogle Scholar

  • Wirth, R. J. & Edwards, M. C. (2007). Item factor analysis: Current approaches and future directions. Psychological Methods, 12 (1), 58 – 79. https://doi.org/10.1037/1082-989X.12.1.58 First citation in articleCrossrefGoogle Scholar

  • Zuuren, F. J. van, de Groot, K. I., Mulder, N. L. & Muris, P. (1996). Coping with medical threat: An evaluation of the Threatening Medical Situations Inventory (TMSI). Personality and Individual Differences, 21 (1), 21 – 31. https://doi.org/10.1016/0191-8869(96)00029-3 First citation in articleCrossrefGoogle Scholar