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Impact of Bridging Income Generation with Group Integrated Care (BIGPIC) on Hypertension and Diabetes in Rural Western Kenya

Overview of attention for article published in Journal of General Internal Medicine, December 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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5 news outlets
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3 X users
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1 Facebook page

Citations

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53 Dimensions

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156 Mendeley
Title
Impact of Bridging Income Generation with Group Integrated Care (BIGPIC) on Hypertension and Diabetes in Rural Western Kenya
Published in
Journal of General Internal Medicine, December 2016
DOI 10.1007/s11606-016-3918-5
Pubmed ID
Authors

Sonak D. Pastakia, Simon M. Manyara, Rajesh Vedanthan, Jemima H. Kamano, Diana Menya, Benjamin Andama, Cleophas Chesoli, Jeremiah Laktabai

Abstract

Rural settings in Sub-Saharan Africa (SSA) consistently report low participation in non-communicable disease (NCD) treatment programs and poor outcomes. The objective of this study is to assess the impact of the implementation of a patient-centered rural NCD care delivery model called Bridging Income Generation through grouP Integrated Care (BIGPIC). The study prospectively tracked participation and health outcomes for participants in a screening event and compared linkage frequencies to a historical comparison group. Rural Kenyan participants attending a voluntary NCD screening event were included within the BIGPIC model of care. The BIGPIC model utilizes a contextualized care delivery model designed to address the unique barriers faced in rural settings. This model emphasizes the following steps: (1) find patients in the community, (2) link to peer/microfinance groups, (3) integrate education, (4) treat in the community, (5) enhance economic sustainability and (6) generate demand for care through incentives. The primary outcome is the linkage frequency, which measures the percentage of patients who return for care after screening positive for either hypertension and/or diabetes. Secondary measures include retention frequencies defined as the percentage of patients remaining engaged in care throughout the 9-month follow-up period and changes in systolic (SBP) and diastolic blood pressure (DBP) and blood sugar over 12 months. Of the 879 individuals who were screened, 14.2 % were confirmed to have hypertension, while only 1.4 % were confirmed to have diabetes. The implementation of a comprehensive microfinance-linked, community-based, group care model resulted in 72.4 % of screen-positive participants returning for subsequent care, of which 70.3 % remained in care through the 12 months of the evaluation period. Patients remaining in care demonstrated a statistically significant mean decline of 21 mmHg in SBP [95 % CI (13.9 to 28.4), P < 0.01] and 5 mmHg drop in DBP [95 % CI (1.4 to 7.6), P < 0.01]. The implementation of a contextualized care delivery model built around the unique needs of rural SSA participants led to statistically significant improvements in linkage to care and blood pressure reduction.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 156 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 20%
Student > Master 25 16%
Student > Ph. D. Student 13 8%
Student > Postgraduate 11 7%
Student > Doctoral Student 7 4%
Other 26 17%
Unknown 43 28%
Readers by discipline Count As %
Medicine and Dentistry 39 25%
Nursing and Health Professions 23 15%
Social Sciences 15 10%
Economics, Econometrics and Finance 8 5%
Business, Management and Accounting 4 3%
Other 16 10%
Unknown 51 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 15 May 2020.
All research outputs
#960,493
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#813
of 7,806 outputs
Outputs of similar age
#20,637
of 422,238 outputs
Outputs of similar age from Journal of General Internal Medicine
#11
of 73 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 89% 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 422,238 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.