Lindsay F P Smith1. 1. East Somerset Research Consortium, Westlake Surgery, West Coker, Somerset. research@esrec.nhs.uk
Abstract
BACKGROUND: Postnatal care is the neglected area of pregnancy care, despite repeated calls to improve it. Changes would require assessment, which should include women's views. No suitable satisfaction questionnaire exists to enable this. AIM: To develop a multidimensional psychometric postnatal satisfaction self-completion instrument. SETTING: Ten maternity services in south west England from 2006-2009. METHOD: Sources for questions were literature review, fieldwork, and related published instruments. Principal components analysis with varimax rotation was used to develop the final WOMen's views of Birth Postnatal Satisfaction Questionnaire (WOMBPNSQ) version. Validity and internal reliability were assessed. Questionnaires were mailed 6-8 weeks postnatally (with one reminder). RESULTS: The WOMBPNSQ comprises 36 seven-point Likert questions (13 dimensions including general satisfaction). Of 300 women, 166 (55.3%) replied; of these 155 (95.1 %) were white, 152 (93.8%) were married or cohabiting, 135 (81.3%) gave birth in a consultant unit, 129 (78.6%) had a vaginal delivery; and 100 (60.6%) were multiparous. The 12 specific dimensions were: support from professionals or partner, or social support; care from GP and health visitor; advice on contraception, feeding baby, the mother's health; continuity of care; duration of inpatient stay; home visiting; pain after birth. These have internal reliability (Cronbach's alpha varying from 0.624 to 0.902). Various demographic and clinical characteristics were significantly associated with specific dimensions. CONCLUSION: WOMBPNSQ could be used to assess existing or planned changes to maternity services or as a screening instrument, which would then enable in-depth qualitative assessment of areas of dissatisfaction. Its convergent validity and test-retest reliability are still to be assessed but are an improvement upon existing postnatal satisfaction questionnaires.
BACKGROUND: Postnatal care is the neglected area of pregnancy care, despite repeated calls to improve it. Changes would require assessment, which should include women's views. No suitable satisfaction questionnaire exists to enable this. AIM: To develop a multidimensional psychometric postnatal satisfaction self-completion instrument. SETTING: Ten maternity services in south west England from 2006-2009. METHOD: Sources for questions were literature review, fieldwork, and related published instruments. Principal components analysis with varimax rotation was used to develop the final WOMen's views of Birth Postnatal Satisfaction Questionnaire (WOMBPNSQ) version. Validity and internal reliability were assessed. Questionnaires were mailed 6-8 weeks postnatally (with one reminder). RESULTS: The WOMBPNSQ comprises 36 seven-point Likert questions (13 dimensions including general satisfaction). Of 300 women, 166 (55.3%) replied; of these 155 (95.1 %) were white, 152 (93.8%) were married or cohabiting, 135 (81.3%) gave birth in a consultant unit, 129 (78.6%) had a vaginal delivery; and 100 (60.6%) were multiparous. The 12 specific dimensions were: support from professionals or partner, or social support; care from GP and health visitor; advice on contraception, feeding baby, the mother's health; continuity of care; duration of inpatient stay; home visiting; pain after birth. These have internal reliability (Cronbach's alpha varying from 0.624 to 0.902). Various demographic and clinical characteristics were significantly associated with specific dimensions. CONCLUSION: WOMBPNSQ could be used to assess existing or planned changes to maternity services or as a screening instrument, which would then enable in-depth qualitative assessment of areas of dissatisfaction. Its convergent validity and test-retest reliability are still to be assessed but are an improvement upon existing postnatal satisfaction questionnaires.
Authors: Jacoba van der Kooy; Nicole B Valentine; Erwin Birnie; Marijana Vujkovic; Johanna P de Graaf; Semiha Denktaş; Eric A P Steegers; Gouke J Bonsel Journal: BMC Health Serv Res Date: 2014-12-03 Impact factor: 2.655