Evidence map›Paper›PMID 19210796›Full record

ArticleBMC medical informatics and decision making2009

Use of the internet by patients attending specialist clinics in Sri Lanka: a cross sectional study.

Mahinda Kommalage

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

1 author.

Mahinda KommalageDepartment of Physiology, Faculty of Medicine, University of Ruhuna, Karapitiya, Galle, Sri Lanka. mahinda1@gmail.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe internet is a relatively new medium of disseminating health information. Studies on Internet usage for health information are mainly done in developed countries and very few studies have been carried out in developing countries.

methodsThe Internet usage of patients who were attending specialist clinics in Teaching Hospital Karapitiya and Southern Hospital in Galle, Sri Lanka was investigated. The study was carried out on the following specialities; General Medicine, Pediatrics, General Surgery and Cardiothoracic surgery. Information was collected using an investigator-administered questionnaire while patients were waiting for a consultation.

resultsThree hundred and fifty five patients (or guardians in the Pediatric clinic) participated in the study. One hundred seventy two (48.3%) participants have heard about the Internet. There was a relationship between awareness of the Internet and age, educational level and the clinic attended. There was no difference of awareness depending on the gender or the hospital. Only three participants (0.97%) have used the Internet to find information about their disease conditions. Close relatives searched the Internet about the conditions of two participants. Altogether, the Internet was used to search information on the disease condition of five participants (1.4%).

conclusionVery low usage of the Internet for health information retrieval in this study is probably due to low awareness of the Internet and low educational level. This low usage of Internet and the associated reasons shown in this study can be generalized to Sri Lanka and probably to other low-income countries that have lower educational level than Sri Lanka.

Indexed as

Health Knowledge, Attitudes, PracticeAdultChi-Square DistributionCross-Sectional StudiesEducational StatusFemaleHealth StatusHumansInformation Storage and RetrievalInternetLogistic ModelsMaleMedicineMiddle AgedPovertySpecialization

Identifiers

PMID19210796
PMCPMC2661075

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Registered trials

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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.