Evidence map›Paper›PMID 38317843›Full record

ArticlePeerJ2024

Nonpharmacological pain relief for labour pain: knowledge, attitude, and barriers among obstetric care providers.

Heba Abdel-Fatah Ibrahim, Majed Said Alshahrani, Amlak Jaber Al-Qinnah, Wafaa Taha Elgzar

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Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Heba Abdel-Fatah IbrahimDepartment of Maternity and Childhood Nursing, Nursing College, Najran University, Najran, Saudi Arabia.
Majed Said AlshahraniDepartment of Obstetrics and Gynecology, College of Medicine, Najran University, Najran, Saudi Arabia.
Amlak Jaber Al-QinnahMaternity and Children Hospital, Najran, Saudi Arabia.
Wafaa Taha ElgzarDepartment of Maternity and Childhood Nursing, Nursing College, Najran University, Najran, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Labor pain is considered the worst pain in a woman's life. Hence, pain control should be essential to labor management at any level. There is scarce information, and there are gaps regarding the knowledge, attitude, and barriers to the utilization of nonpharmacological approaches for pain relief in Saudi Arabia. Therefore, the current study aims to evaluate nonpharmacological pain relief (NPPR)-related knowledge, attitudes, and barriers among obstetric care providers in Najran, Saudi Arabia. Methods: A cross-sectional analytical study was performed at maternity departments in Maternal and Children Hospital (MCH), Najran, Saudi Arabia, from April 1 to May 26 2023. The study involved 186 obstetric care providers (OPCs), physicians (19), nurses (144), and midwives (23). A structured self-reported questionnaire was used to collect data and involves five main sections: demographic data, work-related data, nonpharmacological pain relief-related attitude, perceived barriers, and knowledge quiz. The adjusted odds ratio (AOR) along with 95% CI was estimated to determine the factors associated with nonpharmacological pain relief-related knowledge and attitude using multivariate analysis in the binary logistic regression. Results: Over three-quarters (79%) of obstetric care providers had adequate knowledge of nonpharmacological pain relief methods. The majority (85.5%) of the participants had a positive attitude toward NPPR in labour pain management, with the mean scores ranging from 3.55-4.23 for all sub-items. Obstetric care providers acknowledged that patient belief, lack of time, and workload were the strongest barriers to offering nonpharmacological pain relief methods for labour pain 67.6%, 64.5%, and 61.3%, respectively. In binary logistic regression analysis, the in-service training related to nonpharmacological pain relief (AOR = 5.871 (2.174-15.857), Conclusion: Although most OPCs have adequate knowledge and a positive attitude regarding NPPR, they need motivational strategies to enhance their utilization. In addition, an effort should be made to decrease OPCs' workload to provide more time for NPPR application and patient education. Training courses and in-service training can play an important role in enhancing NPPR knowledge and attitude and, consequently, its application. Also, in each working unit, the policymakers should provide clear guidelines and policies that enhance and control the utilization of NPPR.

Indexed as

Labor, ObstetricLabor PainChildCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansPain ManagementPregnancyAttitudeBarriersKnowledgeNonpharmacological Pain ReliefObstetric care providers

Identifiers

PMID38317843
PMCPMC10840495

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.