Birth as a multidimensional experience: comparison of the English- and German-language versions of Salmon's Item List.
Results concerning satisfaction with the birth experience in different trials are difficult to compare, owing to a lack of internationally used research scales. Salmon's Item List (SIL) is easy-to-handle and would therefore be very helpful for research as well as for obstetric clinic quality control. Two hundred and fifty-one patients were investigated using a German-language version of SIL (SIL-ger); the statistical evaluation was carried out by means of a principal components analysis. Principal components analysis revealed two major findings: (1) as stated by other authors the birth experience is multidimensional, each aspect influencing the others in a non-linear way; (2) in addition to Salmon's dimensions (i.e. postnatal 'fulfillment', intranatal 'physical discomfort' and intranatal 'emotional distress') another postnatal dimension labeled 'negative emotional experience' was detected. Not only are intranatal experiences multidimensional, but so too are evaluative feelings afterwards. In addition to fulfillment, as developed by Salmon, a dimension of negative emotional experience needs to be taken into account. This dimension does not correlate in a linear way with fulfillment. It is appropriate to use SIL in research. Before using it for purposes of clinical quality control, however, larger samples need to be evaluated in order to prove the stability of the factor structure.
Stadlmayr
W
W
University Hospital Bern, Department of Obstetrics and Gynecology, Bern, Switzerland. werner.stadlmayr@insel.ch
Bitzer
J
J
Hösli
I
I
Amsler
F
F
Leupold
J
J
Schwendke-Kliem
A
A
Simoni
H
H
Bürgin
D
D
D003431:Cross-Cultural Comparison; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D007743:Labor, Obstetric / Q000523:psychology*; D007802:Language; D017060:Patient Satisfaction; D011247:Pregnancy; D011581:Psychological Tests / Q000706:statistics & numerical data*; D011594:Psychometrics; D011785:Quality Assurance, Health Care