Evidence map›Paper›PMID 30465006›Full record

ArticleInternational journal of community based nursing and midwifery2018

Development and Assessment of Respectful Maternity Care Questionnaire in Iran.

Simin Taavoni, Zahra Goldani, Narges Rostami Gooran, Hamid Haghani

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Article in International journal of community based nursing and midwifery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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10citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Simin TaavoniDepartment of Medical Education, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Zahra GoldaniDepartment of Midwifery, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran.
Narges Rostami GooranDepartment of Social Affairs, Ministry of Health and Medical Education, Tehran, Iran.
Hamid HaghaniDepartment of Biostatistics, School of Management and Information, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisrespectful and undignified care during childbirth has been documented in health facilities all over the world. The purpose of this study was to develop and pretest a new instrument, the Quality of Respectful Maternity Care Questionnaire in Iran (QRMCQI), with an ensured validity and reliability to evaluate and measure Respectful Maternity Care (RMC) in three sections of labor, delivery and post-partum.

methodsThis is a study with mixed sequential exploratory design. Here, the questionnaire design is a part of descriptive survey study and consists of five phases implemented in one year. The phases include item or questions generation, face validation, content validity assessment, confirmatory factor analysis and reliability assurance of the questionnaire. The participants were selected from the mothers referring to health care centers affiliated to Iran University of Medical Sciences in five cities after recruitment from hospital for after-care services of delivery.

resultsThe primary questionnaire was developed, face validity was performed by experts and their comments were implemented. The content validity index (CVI), Kappa index and Content Validity Ratio (CVR) were calculated for each item and they were satisfactory in an acceptable range. Confirmatory factor analysis (CFA) showed good fit of the hypothesized model for 453 participants in the interview. Testing showed an acceptable internal consistency and reliability by calculating Cronbach's alpha coefficient for questions in labor (0.86), in delivery (0.85), and in postpartum care (0.78).

conclusionWe have developed a new instrument as the 59-item QRMCQI for evaluating respectful maternity care in Iran through a rigorous process of item generation and validity-reliability assessment besides confirmatory factor analysis that were in an acceptable range and can be used as a reliable instrument for RMC in Iran.

Indexed as

Confirmatory factor analysisQuestionnaireReliabilityRespectful maternity careValidity

Identifiers

PMID30465006
PMCPMC6226608

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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.