Evidence map›Paper›PMID 23816979›Full record

ArticleJournal of medical Internet research2013

Internet use frequency and patient-centered care: measuring patient preferences for participation using the health information wants questionnaire.

Bo Xie, Mo Wang, Robert Feldman, Le Zhou

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Empirical Foundations of Telemedicine Interventions in Primary Care.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2016
    Pooled it
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Information, deliberation, and decisional control preferences for participation in medical decision-making and its influencing factors among Chinese cancer patients.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bo XieSchool of Nursing & School of Information, University of Texas at Austin, Austin, TX, United States. boxie@utexas.edu
Mo Wang
Robert Feldman
Le Zhou

Funding

Improving Older Adults' E-Health Literacy With Collaborative Versus IndividualistR01AG041284 · NIA · UNIV OF MARYLAND, COLLEGE PARK · PI XIE, BO · 2011 to 2013
$876k
NIA NIH HHS R01 AG041284NIA NIH HHS R01AG041284
6 · The paper itself

Abstract

backgroundThe Internet is bringing fundamental changes to medical practice through improved access to health information and participation in decision making. However, patient preferences for participation in health care vary greatly. Promoting patient-centered health care requires an understanding of the relationship between Internet use and a broader range of preferences for participation than previously measured.

objectiveTo explore (1) whether there is a significant relationship between Internet use frequency and patients' overall preferences for obtaining health information and decision-making autonomy, and (2) whether the relationships between Internet use frequency and information and decision-making preferences differ with respect to different aspects of health conditions.

methodsThe Health Information Wants Questionnaire (HIWQ) was administered to gather data about patients' preferences for the (1) amount of information desired about different aspects of a health condition, and (2) level of decision-making autonomy desired across those same aspects.

resultsThe study sample included 438 individuals: 226 undergraduates (mean age 20; SD 2.15) and 212 community-dwelling older adults (mean age 72; SD 9.00). A significant difference was found between the younger and older age groups' Internet use frequencies, with the younger age group having significantly more frequent Internet use than the older age group (younger age group mean 5.98, SD 0.33; older age group mean 3.50, SD 2.00; t436=17.42, P<.01). Internet use frequency was positively related to the overall preference rating (γ=.15, P<.05), suggesting that frequent Internet users preferred significantly more information and decision making than infrequent Internet users. The relationships between Internet use frequency and different types of preferences varied: compared with infrequent Internet users, frequent Internet users preferred more information but less decision making for diagnosis (γ=.57, P<.01); more information and more decision-making autonomy for laboratory test (γ=.15, P<.05), complementary and alternative medicine (γ=.32, P<.01), and self-care (γ=.15, P<.05); and less information but more decision-making autonomy for the psychosocial (γ=-.51, P<.01) and health care provider (γ=-.27, P<.05) aspects. No significant difference was found between frequent and infrequent Internet users in their preferences for treatment information and decision making.

conclusionsInternet use frequency has a positive relationship with the overall preferences for obtaining health information and decision-making autonomy, but its relationship with different types of preferences varies. These findings have important implications for medical practice.

Indexed as

Patient-Centered CarePatient ParticipationPatient PreferenceAdolescentAdultFemaleHumansInternetMalePatient Education as TopicSurveys and QuestionnairesYoung AdultInternetpatient-centered carepatient participationpatient preferenceshared decision-making

Identifiers

PMID23816979
PMCPMC3714005

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.