Validation of the Malay version of the Inventory of Functional Status after Childbirth questionnaire

Norhayati Mohd Noor, Aniza Abd Aziz, Mohd Rosmizaki Mostapa, Zainudin Awang, Norhayati Mohd Noor, Aniza Abd Aziz, Mohd Rosmizaki Mostapa, Zainudin Awang

Abstract

Objective: This study was designed to examine the psychometric properties of Malay version of the Inventory of Functional Status after Childbirth (IFSAC).

Design: A cross-sectional study.

Materials and methods: A total of 108 postpartum mothers attending Obstetrics and Gynaecology Clinic, in a tertiary teaching hospital in Malaysia, were involved. Construct validity and internal consistency were performed after the translation, content validity, and face validity process. The data were analyzed using Analysis of Moment Structure version 18 and Statistical Packages for the Social Sciences version 20.

Results: The final model consists of four constructs, namely, infant care, personal care, household activities, and social and community activities, with 18 items demonstrating acceptable factor loadings, domain to domain correlation, and best fit (Chi-squared/degree of freedom = 1.678; Tucker-Lewis index = 0.923; comparative fit index = 0.936; and root mean square error of approximation = 0.080). Composite reliability and average variance extracted of the domains ranged from 0.659 to 0.921 and from 0.499 to 0.628, respectively.

Conclusion: The study suggested that the four-factor model with 18 items of the Malay version of IFSAC was acceptable to be used to measure functional status after childbirth because it is valid, reliable, and simple.

Figures

Figure 1
Figure 1
Malay version of IFSAC measurement model based on four factors structure (Model 1).
Figure 2
Figure 2
Malay version of IFSAC measurement model after removal of two items based on irrelevant content of item to factor (Model 5).

References

    1. Fawcett J., Tulman L., Myers S. T. Development of the inventory of functional status after childbirth. Journal of Nurse-Midwifery. 1988;33(6):252–260. doi: 10.1016/0091-2182(88)90080-8.
    1. Roy C., Andrews H. A. Roy Adaptation Model. Stamford, Conn, USA: Appleton and Lange; 1999.
    1. McVeigh C. A. An Australian study of functional status after childbirth. Midwifery. 1997;13(4):172–178. doi: 10.1016/S0266-6138(97)80003-4.
    1. Ozkan S., Sevil U. The study of validity and reliability of inventory of functional status after childbirth. TAF Preventive Medicine Bulletin. 2007;6:199–208.
    1. McVeigh C., Chaboyer W. Reliability and validity of the Inventory of Functional Status after Childbirth when used in an Australian population. Nursing and Health Sciences. 2002;4(3):107–112. doi: 10.1046/j.1442-2018.2002.00115.x.
    1. Stapleton C. D. Basic Concepts and Procedures of Confirmatory Factor Analysis. ERIC Clearinghouse; 1997.
    1. Stevens J. Applied Multivariate Statistics for the Behavioral Sciences. Mahwah, NJ, USA: Erlbaum; 1996.
    1. Brown T. A. Confirmatory Factor Analysis for Applied Research. Guilford Press; 2006.
    1. Fayers P. M., Machin D. Quality of Life: Assessment, Analysis and Interpretation. New York, NY, USA: John Wiley & Sons; 2000.
    1. Hair J. F., Black W. C., Rabin B. J., Anderson R. E. Multivariate Data Analysis. 7th. Upper Saddle River, NJ, USA: Pearson Prentice Hall; 2010.
    1. Tulman L., Fawcett J. Functional status during pregnancy and the postpartum: a framework for research. Image—the Journal of Nursing Scholarship. 1990;22(3):191–194. doi: 10.1111/j.1547-5069.1990.tb00206.x.
    1. McVeigh C. A. Investigating the relationship between satisfaction with social support functional status after childbirth. MCN The American Journal of Maternal Child Nursing. 2000;25(1):25–30. doi: 10.1097/00005721-200001000-00006.
    1. Byrne B. M. Structural Equation Modelling with AMOS: Basic Concepts, Applications and Programming. 2nd. New York, NY, USA: Psychology Press/Taylor & Francis; 2010.
    1. Zainudin A. Structural Equation Modeling Using AMOS Graphic. Shah Alam, Malaysia: UiTM Press; 2012.
    1. Nunnally J. C., Bernstein I. R. Psychometric Theory. 3rd. New York, NY, USA: McGraw-Hill; 1994.
    1. Bullinger M. German translation and psychometric testing of the SF-36 Health Survey: preliminary results from the IQOLA project. Social Science and Medicine. 1995;41(10):1359–1366. doi: 10.1016/0277-9536(95)00115-N.
    1. Gandek B., Ware J. E., Aaronson N. K., et al. Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. Journal of Clinical Epidemiology. 1998;51(11):1171–1178. doi: 10.1016/S0895-4356(98)00109-7.
    1. Bullinger M., Alonso J., Apolone G., et al. Translating health status questionnaires and evaluating their quality: the IQOLA Project approach. Journal of Clinical Epidemiology. 1998;51(11):913–923. doi: 10.1016/S0895-4356(98)00082-1.
    1. Norhayati M. N., Aniza A. A. Validity and reliability of the Malay version of 12-item short form health survey among postpartum mothers. MJPHM. 2014;14:56–66.
    1. Timothy A. B. Confirmatory Factor Analysis for Applied Research. New York, NY, USA: Guilford Press; 2006.
    1. Bagozzi R. P., Kimmel S. K. A comparison of leading theories for the prediction of goal directed behaviours. British Journal of Social Psychology. 1995;34(4):437–461. doi: 10.1111/j.2044-8309.1995.tb01076.x.
    1. Streiner L. D., Norman G. R. Health Measurement Scales: A Practical Guide to Their Development and Use. 3rd. New York, NY, USA: Oxford University Press; 2008.
    1. Thorndike R. M., Cunningham G. K., Thorndike R. L., Hagen E. P. Measurement and Evaluation in Psychology and Education. 5th. New York, NY, USA: MacMillan; 1991.

Source: PubMed

3
Předplatit