Evidence map›Paper›PMID 27429638›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2016

Complementary Medicine Health Literacy among a Population of Older Australians Living in Retirement Villages: A Mixed Methods Study.

Caroline A Smith, Esther Chang, Suzanne Brownhill, Kylie Barr

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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.

Caroline A SmithNational Institute of Complementary Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.ORCID 0000-0002-7828-0597
Esther ChangSchool of Nursing and Midwifery, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.
Suzanne BrownhillSchool of Nursing and Midwifery, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.
Kylie BarrNational Institute of Complementary Medicine, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Older Australians are consumers of high levels of complementary medicines. The aim of this study was to examine health literacy in a population of older Australians related to their use of complementary medicine. Methods. A two-phase sequential mixed method design incorporating quantitative and qualitative methods was used in this study. The first phase consisted of a cross-sectional survey using a validated health literacy questionnaire and follow-up interviews with 11 residents of retirement villages. Interviews explored low scoring domains on the health literacy questionnaire. Results. Health literacy competencies scored higher for the domains of having sufficient information to manage their health; felt understood and supported by health care providers; actively managed their health; and having social support for health. Three health literacy domains scored low including appraisal of health information; ability to find good information; and navigating the health care system. The findings suggest that participants had different experiences navigating the health care system to access information and services relating to complementary medicines. Two themes of "trust" and "try and see" provide insight into how this group of older Australians appraised health information in relation to complementary medicines. Conclusions. With a focus on self-care there is a need for improved health literacy skills.

Identifiers

PMID27429638
PMCPMC4939197

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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.