Evidence map›Paper›PMID 32469917›Full record

ArticlePloS one2020

Levels and determinants of health literacy and patient activation among multi-morbid COPD people in rural Nepal: Findings from a cross-sectional study.

Uday Narayan Yadav, Jane Lloyd, Hassan Hosseinzadeh, Kedar Prasad Baral, Narendra Bhatta, Mark Fort Harris

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
7.8field-weighted citation impact, top 2% of its field
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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Lung Cancer and Self-Management Interventions: A Systematic Review of Randomised Controlled Trials.International journal of environmental research and public health · 2022
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  15. Effectiveness of case scenario-based teaching to transition international Master of Public Health students specialising in health promotion from memorization to critical thinking.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2022
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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

6 authors at 5 institutions in 3 countries.

Uday Narayan YadavCentre for Primary Health Care and Equity, UNSW, Sydney, Australia.ORCID 0000-0002-6626-1604
Jane LloydCentre for Primary Health Care and Equity, UNSW, Sydney, Australia.ORCID 0000-0003-1364-2072
Hassan HosseinzadehSchool of Health & Society, The University of Wollongong, Sydney, Australia.
Kedar Prasad BaralSchool of Public Health, Patan Academy of Health Sciences, Kathmandu, Nepal.
Narendra BhattaDepartment of Pulmonary, Critical Care and Sleep Medicine, B.P. Koirala Institute of Health Sciences (BPKIHS), Dharan, Nepal.
Mark Fort HarrisCentre for Primary Health Care and Equity, UNSW, Sydney, Australia.
UNSW Sydney · AUB.P. Koirala Institute of Health Sciences · NPGlobal Forum for Health Research · CHPatan Academy of Health Sciences · NPUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth literacy (HL) and patient activation (PA) are necessary foundations to engage patients in self-management intervention. Each concept plays a unique role in improving access to the effective self-management of chronic disease. In this cross-sectional study, we examined the levels and determinants of HL and PA among the multi-morbid COPD patients in Nepal.

methodsWe conducted interviews with a simple random sample of 238 multi-morbid COPD people from July 2018 to January 2019. The questionnaire included sociodemographic profiles, five domains of the Health Literacy Questionnaire (HLQ), 13-item Patient Activation Measure (PAM) and patient's illness perception by Brief Illness Perception Questionnaire (BIPQ). Multivariable logistic regression was used to examine the associations.

resultsMost people with COPD had low health levels across each of the five domains of the HLQ. The proportion of people with low literacy level across each of the domains was: (i) feeling understood and supported by healthcare providers (79.0%), (ii) having sufficient information to manage my own health (76.5%), (iii) social support for health (77.3%), (iv) ability to find the good health information (75.2%), and (v) understand the health information well enough to know what to do (74.8%), respectively. The majority of patients also reported low levels of patient activation (level 1: 81.5%; level 2: 11.8%), with only 6.7% (level 3: 5%; level 4: 1.7%) reported higher patient activation level. We found significant associations between poor HL levels in the HLQ domains and having no education, being female or from Indigenous and Dalits communities, and having a monthly family income of less than USD176. Having no education and poor illness perception were significantly associated with poor activation level on PAM scale.

conclusionA high proportion of multi-morbid COPD peoples had low levels of HL and were less activated than what would be required to self-manage COPD. These were in turn associated with socioeconomic factors and poor illness perception. The findings from this study are being used to design a COPD self-management program tailored to the low health literate population.

Indexed as

Health LiteracyPatient ParticipationAdolescentAdultAgedComorbidityCross-Sectional StudiesEducational StatusFemaleHumansMaleMiddle AgedNepalProspective StudiesPulmonary Disease, Chronic ObstructiveRural Population

Identifiers

PMID32469917
PMCPMC7259703
OpenAlexW3029123495

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.