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Improving access to medicines for non-communicable diseases in rural India: a mixed methods study protocol using quasi-experimental design

Overview of attention for article published in BMC Health Services Research, August 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 news outlet
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11 X users

Citations

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16 Dimensions

Readers on

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134 Mendeley
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Title
Improving access to medicines for non-communicable diseases in rural India: a mixed methods study protocol using quasi-experimental design
Published in
BMC Health Services Research, August 2016
DOI 10.1186/s12913-016-1680-3
Pubmed ID
Authors

N. S. Prashanth, Maya Annie Elias, Manoj Kumar Pati, Praveenkumar Aivalli, C. M. Munegowda, Srinath Bhanuprakash, S. M. Sadhana, Bart Criel, Maryam Bigdeli, Narayanan Devadasan

Abstract

India has the distinction of financing its healthcare mainly through out-of-pocket expenses by individual families contributing to catastrophic health expenditure and impoverishment. Nearly 70 % of the expenditure is on medicines purchased at private pharmacies. Patients with chronic ailments are especially affected, as they often need lifelong medicines. Over the past years in India, there have been several efforts to improve drug availability at government primary health centres. In this study, we aim to understand health system factors that affect utilisation and access to generic medicines for people with non-communicable diseases. This study aims to understand if (and how) a package of interventions targeting primary health centres and community participation platforms affect utilisation and access to generic medicines for people with non-communicable diseases in the current district context in India. This study will employ a quasi-experimental design and a qualitative theory-driven approach. PHCs will be randomly assigned to one of three arms of the intervention. In one arm, PHCs will receive inputs to optimise service delivery for non-communicable diseases, while the second arm will receive an additional package of interventions to strengthen community participation platforms for improving non-communicable disease care. The third arm will be the control. We will conduct household and facility surveys, before and after the intervention and will estimate the effect of the intervention by difference-in-difference analysis. Sample size for measuring effects was calculated based on obtaining at least 30 households for each primary health centre spread across three distance-based clusters. Primary outcomes include availability and utilisation of medicines at primary health centres and out-of-pocket expenditure for medicines by non-communicable disease households. Focus group discussions with patients and in-depth interviews with health workers will also be conducted. Qualitative and process documentation data will be used to explain how the intervention could have worked. By taking into consideration several health system building blocks and trying to understand how they interact, our study aims to generate evidence for health planners on how to optimise health services to improve access to medicines. Protocol registered on Clinical Trials Registry of India with registration identifier number CTRI/2015/03/005640 on 17(th) March 2015.

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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 16%
Researcher 19 14%
Student > Bachelor 11 8%
Student > Doctoral Student 10 7%
Student > Ph. D. Student 9 7%
Other 28 21%
Unknown 35 26%
Readers by discipline Count As %
Nursing and Health Professions 22 16%
Medicine and Dentistry 18 13%
Pharmacology, Toxicology and Pharmaceutical Science 11 8%
Social Sciences 9 7%
Agricultural and Biological Sciences 6 4%
Other 24 18%
Unknown 44 33%
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 25 May 2018.
All research outputs
#1,916,258
of 23,577,654 outputs
Outputs from BMC Health Services Research
#703
of 7,846 outputs
Outputs of similar age
#35,460
of 345,939 outputs
Outputs of similar age from BMC Health Services Research
#28
of 252 outputs
Altmetric has tracked 23,577,654 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 7,846 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 91% 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 345,939 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 89% of its contemporaries.
We're also able to compare this research output to 252 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.