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Point-of-care testing in India: missed opportunities to realize the true potential of point-of-care testing programs

Overview of attention for article published in BMC Health Services Research, December 2015
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 policy source
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9 X users

Citations

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24 Dimensions

Readers on

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134 Mendeley
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Title
Point-of-care testing in India: missed opportunities to realize the true potential of point-of-care testing programs
Published in
BMC Health Services Research, December 2015
DOI 10.1186/s12913-015-1223-3
Pubmed ID
Authors

Nora Engel, Gayatri Ganesh, Mamata Patil, Vijayashree Yellappa, Caroline Vadnais, Nitika Pant Pai, Madhukar Pai

Abstract

The core objective of any point-of-care (POC) testing program is to ensure that testing will result in an actionable management decision (e.g. referral, confirmatory test, treatment), within the same clinical encounter (e.g. POC continuum). This can but does not have to involve rapid tests. Most studies on POC testing focus on one specific test and disease in a particular healthcare setting. This paper describes the actors, technologies and practices involved in diagnosing major diseases in five Indian settings - the home, community, clinics, peripheral laboratories and hospitals. The aim was to understand how tests are used and fit into the health system and with what implications for the POC continuum. The paper reports on a qualitative study including 78 semi-structured interviews and 13 focus group discussions with doctors, nurses, patients, lab technicians, program officers and informal providers, conducted between January and June 2013 in rural and urban Karnataka, South India. Actors, diseases, tests and diagnostic processes were mapped for each of the five settings and analyzed with regard to whether and how POC continuums are being ensured. Successful POC testing hardly occurs in any of the five settings. In hospitals and public clinics, most of the rapid tests are used in laboratories where either the single patient encounter advantage is not realized or the rapidity is compromised. Lab-based testing in a context of manpower and equipment shortages leads to delays. In smaller peripheral laboratories and private clinics with shorter turn-around-times, rapid tests are unavailable or too costly. Here providers find alternative measures to ensure the POC continuum. In the home setting, patients who can afford a test are not/do not feel empowered to use those devices. These results show that there is much diagnostic delay that deters the POC continuum. Existing rapid tests are currently not translated into treatment decisions rapidly or are not available where they could ensure shorter turn-around times, thus undermining their full potential. To ensure the success of POC testing programs, test developers, decision-makers and funders need to account for such ground realities and overcome barriers to POC testing programs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Unknown 133 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 19%
Student > Ph. D. Student 21 16%
Student > Master 20 15%
Student > Doctoral Student 10 7%
Student > Bachelor 7 5%
Other 20 15%
Unknown 31 23%
Readers by discipline Count As %
Medicine and Dentistry 30 22%
Nursing and Health Professions 12 9%
Social Sciences 11 8%
Engineering 11 8%
Agricultural and Biological Sciences 7 5%
Other 24 18%
Unknown 39 29%
Attention Score in Context

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 31 October 2019.
All research outputs
#3,872,142
of 23,959,899 outputs
Outputs from BMC Health Services Research
#1,718
of 8,018 outputs
Outputs of similar age
#63,426
of 396,055 outputs
Outputs of similar age from BMC Health Services Research
#16
of 100 outputs
Altmetric has tracked 23,959,899 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,018 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 78% 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 396,055 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 83% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.