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Development of a tool to measure women’s perception of respectful maternity care in public health facilities

Overview of attention for article published in BMC Pregnancy and Childbirth, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

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12 tweeters

Citations

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69 Dimensions

Readers on

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344 Mendeley
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Title
Development of a tool to measure women’s perception of respectful maternity care in public health facilities
Published in
BMC Pregnancy and Childbirth, March 2016
DOI 10.1186/s12884-016-0848-5
Pubmed ID
Authors

Ephrem D. Sheferaw, Teka Z. Mengesha, Solomon B. Wase

Abstract

Maternal mortality continues to be the biggest challenge facing Ethiopia and other developing countries. Although progress has been made in making maternity services available closer to the community, the rate of deliveries attended by skilled birth attendants has remained very low. Absence of respectful maternity care (RMC) is believed to have contributed to low utilization of facility delivery services. This study outlines steps undertaken to construct and validate a scale that measures women's perception of respectful maternity care provided in health facilities. An inductive item generation process that included a literature review and in-depth interviews with labor and delivery clients, followed by an expert review, assured face validity and content validity of the tool. A draft RMC scale with 37 items and two additional measures of global satisfaction items, measured on a five-point Likert scale, were administered to a developmental sample of 509 postnatal care clients visiting facilities immediately after childbirth to 7 weeks postpartum. IBM SPSS 20 was used to perform exploratory factor analysis (EFA) using principal component analysis (PCA) with oblique rotation method. The final RMC scale with 15 items was loaded on four components. The extracted components were labeled as friendly care, abuse-free care, timely care, and discrimination-free care. The final RMC scale correlated strongly with the global satisfaction measures, indicating criterion-related validity of the scale. Content-related validity was assured by the process of item generation. Construct validity of the RMC scale was confirmed by high average factor loading of the four components ranging from 0.76 to 0.82 and low correlation between the components. Stability of the scale was confirmed by running PCA in a randomly selected split sample of 320 samples from the validation sample. The final 15-item scale showed an adequate reliability with α = 0.845. The 15-item RMC scale is a valid and reliable measure of women's perception of RMC received in health facilities. We recommend that health facilities use the RMC scale in urban public health facilities and that other researchers conduct further exploratory and confirmatory factor analysis in different geographic areas.

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Congo, The Democratic Republic of the 1 <1%
Ghana 1 <1%
Unknown 342 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 79 23%
Researcher 54 16%
Student > Ph. D. Student 29 8%
Lecturer 24 7%
Student > Bachelor 22 6%
Other 66 19%
Unknown 70 20%
Readers by discipline Count As %
Nursing and Health Professions 99 29%
Medicine and Dentistry 92 27%
Social Sciences 40 12%
Business, Management and Accounting 5 1%
Agricultural and Biological Sciences 5 1%
Other 22 6%
Unknown 81 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 April 2016.
All research outputs
#2,915,802
of 18,704,933 outputs
Outputs from BMC Pregnancy and Childbirth
#768
of 3,400 outputs
Outputs of similar age
#51,962
of 273,395 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#1
of 1 outputs
Altmetric has tracked 18,704,933 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,400 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 273,395 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them