Emelonye, A. U., Pitkäaho, T. and Vehviläinen-Julkunen, K., 2015. Spousal Presence as a Nonpharmacological Pain Management during Childbirth: A Pilot Study. Nursing Research and Practice, 2015, 932763.
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DOI: 10.1155/2015/932763
Abstract
Background. Measures of spousal effect during parturient pain should take a tripartite approach involving the parturients, spouses, and midwives. Aim. To develop and validate three questionnaires measuring spousal presence in management of parturient pain in Nigeria. Methods. There are two phases: (1) development of questionnaires, Abuja Instrument for Midwives (AIM), Abuja Instrument for Parturient Pain (AIPP), and Abuja Instrument for Parturient Spouses (AIPS), utilizing literatures, Kuopio instrument for fathers (KIF) and expertise of health professionals, and (2) pilot study to validate the questionnaires which were administered in two hospitals in Nigeria: midwives (n = 10), parturients (n = 10), and spouses (n = 10). Results. Internal consistency for the three questionnaires indicated Cronbach's alpha coefficient of 0.789 (AIM), 0.802 (AIPP), and 0.860 (AIPS), while test-retest reliability was r = 0.99 (AIM), r = 0.99 (AIPP), and r = 0.90 (AIPS). Conclusions. AIM, AIPP, and AIPS provide a means of investigating the effectiveness of spousal presence in management of parturient pain in Nigeria. However, further testing of each instrument is needed in a larger population to replicate the beneficial findings of AIMS, AIPP, and AIPS which can contribute rigor to future studies.
Item Type: | Article |
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ISSN: | 2090-1429 |
Additional Information: | This study was funded by 24/7 Technologies Ltd., Abuja, Nigeria, University of Eastern Finland, and Saastamoinen Foundation for supporting data collection in Nigeria. The authors would like to acknowledge all participants, their research team, and the management and staff of the health institutions used for this study. Immense gratitude goes to Dr. Uchenna Emelonye and Dr. Alex Aregbesola for proofreading the paper. |
Group: | Faculty of Health & Social Sciences |
ID Code: | 36587 |
Deposited By: | Symplectic RT2 |
Deposited On: | 07 Feb 2022 10:44 |
Last Modified: | 14 Mar 2022 14:32 |
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