↓ Skip to main content

Characterizing internet health information seeking strategies by socioeconomic status: a mixed methods approach

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2016
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
113 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Characterizing internet health information seeking strategies by socioeconomic status: a mixed methods approach
Published in
BMC Medical Informatics and Decision Making, August 2016
DOI 10.1186/s12911-016-0344-x
Pubmed ID
Authors

Susan L. Perez, Richard L. Kravitz, Robert A. Bell, Man Shan Chan, Debora A. Paterniti

Abstract

The Internet is valuable for those with limited access to health care services because of its low cost and wealth of information. Our objectives were to investigate how the Internet is used to obtain health-related information and how individuals with differing socioeconomic resources navigate it when presented with a health decision. Study participants were recruited from public settings and social service agencies. Participants listened to one of two clinical scenarios - consistent with influenza or bacterial meningitis - and then conducted an Internet search. Screen-capture video software captured the Internet search. Participant Internet search strategies were analyzed and coded for pre- and post-Internet search guess at diagnosis and information seeking patterns. Individuals who did not have a college degree and were recruited from locations offering social services were categorized as "lower socioeconomic status" (SES); the remainder was categorized as "higher SES." Participants were 78 Internet health information seekers, ranging from 21-35 years of age, who experienced barriers to accessing health care services. Lower-SES individuals were more likely to use an intuitive, rather than deliberative, approach to Internet health information seeking. Lower- and higher-SES participants did not differ in the tendency to make diagnostic guesses based on Internet searches. Lower-SES participants were more likely than their higher-SES counterparts to narrow the scope of their search. Our findings suggest that individuals with different levels of socioeconomic status vary in the heuristics and search patterns they rely upon to direct their searches. The influence and use of credible information in the process of making a decision is associated with education and prior experiences with healthcare services. Those with limited resources may be disadvantaged when turning to the Internet to make a health decision.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 15%
Student > Bachelor 17 15%
Student > Ph. D. Student 13 12%
Researcher 10 9%
Librarian 7 6%
Other 18 16%
Unknown 31 27%
Readers by discipline Count As %
Social Sciences 20 18%
Nursing and Health Professions 17 15%
Medicine and Dentistry 12 11%
Psychology 7 6%
Computer Science 5 4%
Other 16 14%
Unknown 36 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 August 2019.
All research outputs
#6,674,205
of 23,577,761 outputs
Outputs from BMC Medical Informatics and Decision Making
#633
of 2,025 outputs
Outputs of similar age
#110,729
of 364,270 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#14
of 44 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,025 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 67% 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 364,270 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% 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 gotten more attention than average, scoring higher than 65% of its contemporaries.