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Validation of the person-centered maternity care scale in India

Overview of attention for article published in Reproductive Health, August 2018
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Validation of the person-centered maternity care scale in India
Published in
Reproductive Health, August 2018
DOI 10.1186/s12978-018-0591-7
Pubmed ID
Authors

Patience A. Afulani, Nadia Diamond-Smith, Beth Phillips, Shreya Singhal, May Sudhinaraset

Abstract

Person-centered care during childbirth is recognized as a critical component of quality of maternity care. But there are few validated tools to measure person-centered maternity care (PCMC). This paper aims to fill this measurement gap. We present the results of the psychometric analysis of the PCMC tool that was previously validated in Kenya using data from India. We aim to assess the validity and reliability of the PCMC scale in India, and to compare the results to those found in the Kenya validation. We use data from a cross-sectional survey conducted from August to October 2017 with recently delivered women at 40 government facilities in Uttar Pradesh, India (N = 2018). The PCMC measure used is a previously validated scale with subscales for dignity and respect, communication and autonomy, and supportive care. We performed psychometric analyses, including iterative exploratory and confirmatory factor analysis, to assess construct and criterion validity and reliability. The results provide support for a 27-item PCMC scale in India with a possible score range from 0 to 81, compared to the 30-item PCMC scale in Kenya with a 0 to 90 possible score range. The overall PCMC scale has good reliability (Cronbach alpha = 0.85). Similar to Kenya, we are able to group the items in to three conceptual domains representing subscales for "Dignity and Respect," "Communication and Autonomy," and "Supportive Care." The sub-scales also have relatively good reliability (Cronbach alphas range from 0.67 to 0.73). In addition, increasing scores on the scale is associated with future intentions to deliver in the same facility, suggesting good criterion validity. This research extends the PCMC literature by presenting results of validating the PCMC scale in a new context. The psychometric analysis using data from Uttar Pradesh, India corroborates the Kenya analysis showing the scale had good content, construct, and criterion validity, as well as high reliability. The overlap in items suggests that this scale can be used across different contexts to compare women's experiences of care, and to inform and evaluate quality improvement efforts to promote comprehensive PCMC.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 180 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 17%
Researcher 12 7%
Student > Postgraduate 10 6%
Student > Ph. D. Student 10 6%
Student > Bachelor 9 5%
Other 37 21%
Unknown 72 40%
Readers by discipline Count As %
Nursing and Health Professions 32 18%
Medicine and Dentistry 30 17%
Social Sciences 14 8%
Business, Management and Accounting 5 3%
Unspecified 5 3%
Other 19 11%
Unknown 75 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 11 August 2019.
All research outputs
#2,078,926
of 24,943,708 outputs
Outputs from Reproductive Health
#200
of 1,536 outputs
Outputs of similar age
#42,047
of 340,400 outputs
Outputs of similar age from Reproductive Health
#7
of 44 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,536 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 86% 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 340,400 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 87% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.