| Literature DB >> 31194796 |
Mary Ellen Gilder1,2, Pru Moo1, Ahmar Hashmi2, Norda Praisaengdet1, Kerry Wai1, Mupawjay Pimanpanarak1, Verena I Carrara1,3, Chaisiri Angkurawaranon2, Wichuda Jiraporncharoen2, Rose McGready1,4.
Abstract
Health literacy is increasingly recognized as an important determinant of health outcomes, but definition, measurement tools, and interventions are lacking. Conceptual frameworks must include both individual and health-systems domains which, in combination, determine an individual's health literacy. Validated tools lack applicability in marginalized populations with very low educational levels, such as migrant worker communities on the Myanmar-Thailand border. We undertake a comprehensive health literacy assessment following a case study of a recent public health campaign promoting preconceptual folic acid uptake in this community. A mixed-methods design utilized quantitative analysis of the prevalence and predictors of low Health literacy, and focus group discussions to gather qualitative data from women about proposed and actual posters used in the campaign. Health literacy was measured with a locally developed tool that has been used in surveys of the population since 1995. Health literacy was low, with 194/525 (37.0%) of tested women demonstrating adequate health literacy, despite 63.1% (331/525) self-reporting being literate. Only one third of women had completed 4th grade or above and reported grade level attained in school was more predictive of health literacy than self-reported literacy. Focus group discussions revealed that low literacy, preconceived associations, and traditional health beliefs (individual domain) interacted with complex images, subtle concepts, and taboo images on posters (health-systems domain) to cause widespread misunderstandings of the visuals used in the campaign. The final poster still required explanation for clarity. Low health literacy is prevalent among pregnant women from this migrant community and barriers to communication are significant and complex. Public health posters need piloting prior to implementation as unanticipated misperceptions are common and difficult to overcome. Verbal communication remains a key method of messaging with individuals of low health literacy and educational system strengthening and audiovisual messaging are critical for improvement of health outcomes.Entities:
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Year: 2019 PMID: 31194796 PMCID: PMC6564004 DOI: 10.1371/journal.pone.0218138
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Conceptual framework for health literacy: The interaction of individual and systems domains.
Demographics of all women included in the cross-sectional clinical audit of health literacy.
| Characteristic | All women (n = 525) | |
|---|---|---|
| 26 ± 7 [14–46] | ||
| 20% (103) | ||
| 50% (261) | ||
| 31% (161) | ||
| 38% (200) | ||
| 2 [1–11] | ||
| 1 [0–9] | ||
| 41% (213) | ||
| 33% (172) | ||
| 19% (101) | ||
| 7% (39) | ||
| 8% (44) | ||
| 58% (303) | ||
| 98% (513) | ||
| 42% (221) | ||
| 1–3 | 25% (133) | |
| 4 | 13% (66) | |
| 5–7 | 11% (58) | |
| 8 | 3% (15) | |
| >8 | 6% (32) | |
Data are presented as mean ± SD [range] 1
as percentage (number) 2
or as median [range] 3
Health literacy scores for women included in the cross-sectional clinical audit.
| Characteristic | Group (n) | Proportion low literacy, % [95%CI] | P value |
|---|---|---|---|
| 57 [50–63] | 0.017 | ||
| 66 [58–73] | |||
| 75 [63–84] | |||
| 60 [17–92] | |||
| 38 [32–44] | 0.311 | ||
| 43 [28–58] | |||
| 20 [2–75] | |||
| 85 [81–88] | <0.001 | ||
| 22 [15–30] | |||
| 6 [2–18] |
* p value for median composite score
Predictors of low or adequate health literacy.
| Clinical Variable | Sensitivity % | Specificity % | PPV % | NPV % | ROC AUC |
|---|---|---|---|---|---|
| 56.19 | 95.88 | 95.88 | 56.19 | 0.76 | |
| 71.60 | 95.36 | 96.34 | 66.31 | 0.83 | |
| 83.99 | 85.57 | 90.85 | 75.80 | 0.85 | |
| 90.94 | 72.68 | 85.03 | 82.46 | 0.82 | |
| 95.77 | 46.91 | 75.48 | 86.67 | 0.71 |
Note: ROC AUC for grade as a continuous variable = 0.91. Abbreviations: CI confidence interval, PPV positive predictive value, NPV negative predictive value, ROC receiver operating characteristic, AUC area under the curve
Characteristics of women participating in focus group discussions.
| FGD | Language | Literacy | Parity | # of participants |
|---|---|---|---|---|
| Karen | Literate | Nullipara | 5 | |
| Burmese | Literate | Multipara | 5 | |
| Burmese | Literate | Nullipara | 6 | |
| Burmese | Illiterate | Multipara | 8 | |
| Karen | Illiterate | Multipara | 6 | |
| Karen | Illiterate | Nullipara | 4 | |
| Karen | Literate | Multipara | 4 | |
| Burmese | Illiterate | Nullipara | 4 | |
| 42 |
Women’s perceptions of public health posters–themes and codes from focus group discussions.
| Themes | Codes |
|---|---|
| Illiteracy | • frustration and disempowerment, curiosity |
| Literacy | • reading text is the key to understanding the poster |
| Symbols | • “X” indicates “not taken” or “dangerous, you should not take it” |
| • What is it? (eg. OCP) | |
| • Should take the pill regularly | |
| Looking | • A fetus can develop the negative characteristics of someone/something that a pregnant woman looks at |
| Karma | • Congenital abnormalities due to deeds of the fetus or mother in past lives) |
| Dietary taboos & heat | • Hot water, other dietary taboo or OCP cause heat inside uterus |