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Expectations of health care quality among rural Maya villagers in Sololá Department, Guatemala: a qualitative analysis

Overview of attention for article published in International Journal for Equity in Health, March 2017
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
facebook
1 Facebook page

Citations

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5 Dimensions

Readers on

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84 Mendeley
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Title
Expectations of health care quality among rural Maya villagers in Sololá Department, Guatemala: a qualitative analysis
Published in
International Journal for Equity in Health, March 2017
DOI 10.1186/s12939-017-0547-5
Pubmed ID
Authors

Matthew Ippolito, Anita Chary, Michael Daniel, Joaquin Barnoya, Anne Monroe, Michelle Eakin

Abstract

Indigenous populations in Latin America have worse health outcomes than their nonindigenous counterparts. Differences in access to and use of biomedical resources may explain some of the observed disparities. Efforts to address these differences could be aided in part by better understanding the socio-medical contexts in which they occur. We performed a qualitative analysis of field notes collected during a 2008 program evaluation of a health post in a rural Maya village in Sololá Department, Guatemala. Forty-one interviews were conducted among a community-based convenience sample of adult men and women. Interviews focused on experiences, perceptions, and behaviors related to the local biomedical and ethnomedical health care resources. Penetrance of the local health post was high, with most (90%) of respondents having accessed it within the prior five years. The prevailing attitude toward the health post was positive. We identified facilitators and barriers to health post use that corresponded with three thematic areas: clinic operations, visits and consultations, and medical resources. Proximity to the home, free consultations and medications, and social support services were among the most commonly cited facilitators. Barriers included limited clinic hours, medication stock-outs, provision of care that did not meet patient expectations, and unavailability of diagnostic tests. In a rural Maya community in Guatemala, operational and quality-based factors, independent of sociocultural considerations, informed the perception of and decision to access biomedical resources. Interventions that address these factors may increase health care utilization and alleviate some of the health disparities that accompany indigeneity in Guatemala and similar contexts.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 21%
Student > Bachelor 12 14%
Student > Ph. D. Student 7 8%
Student > Postgraduate 6 7%
Student > Doctoral Student 5 6%
Other 12 14%
Unknown 24 29%
Readers by discipline Count As %
Nursing and Health Professions 19 23%
Medicine and Dentistry 15 18%
Social Sciences 14 17%
Psychology 3 4%
Economics, Econometrics and Finance 2 2%
Other 4 5%
Unknown 27 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 01 June 2020.
All research outputs
#2,138,562
of 22,961,203 outputs
Outputs from International Journal for Equity in Health
#356
of 1,918 outputs
Outputs of similar age
#43,253
of 307,967 outputs
Outputs of similar age from International Journal for Equity in Health
#9
of 33 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,918 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done well, scoring higher than 81% 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 307,967 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 85% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.