| Literature DB >> 35101036 |
Bolanle Olapeju1,2, Camille Adams3, Sean Wilson3, Joann Simpson3, Gabrielle C Hunter4, TrishAnn Davis4, Lyndsey Mitchum4, Horace Cox5, Kashana James5, Jennifer Orkis4, J Douglas Storey4,6.
Abstract
BACKGROUND: Although miners are a priority population in malaria elimination in Guyana, scant literature exists on the drivers of malaria-related behaviour. This study explores the relationship between gold miners' malaria-related ideation and the adoption of malaria care-seeking and treatment behaviours including prompt care-seeking, malaria testing, and self-medication.Entities:
Keywords: Behaviour; Care-seeking; Guyana; Ideation; Malaria; Treatment
Mesh:
Substances:
Year: 2022 PMID: 35101036 PMCID: PMC8805325 DOI: 10.1186/s12936-022-04045-5
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Variables used to construct the care-seeking ideation index
| Have you ever heard of a disease called malaria? |
| What causes malaria? |
| What are the different types of malaria in Guyana? |
| What signs or symptoms would lead you to think that a person has malaria? |
| If you thought you had malaria, where could you go to get a free malaria test and treatment? |
| What are some things that people can do to stop them from getting malaria? |
| If you became infected with malaria, how serious would that be for your health and well-being? |
| How likely do you think it is that you will become infected with malaria within the next 6 months? |
| Generally, how many of your friends and co-workers stop taking their malaria medicine before the end of the treatment? |
| I am confident that I can get a test for malaria within 24 h after I start to feel symptoms |
| I am confident that I could complete a full three-day treatment if I were diagnosed with |
| I am confident that I could complete a full 14-day treatment if I were diagnosed with |
| The results of the tests given by volunteer testers are always accurate |
| A blood test for malaria is the only way to know if someone really has malaria |
| A person should only take malaria medicine if a health provider or tester says that a fever really is malaria |
| I don’t worry about malaria because it can be easily treated |
| Every case of malaria can potentially lead to death |
| When someone I know gets malaria, I usually expect them to completely recover in a few days |
| A person sick with fever should always receive a blood test to confirm that the sickness is malaria before taking malaria drugs |
| A person should go for a malaria test the same day they start to feel symptoms |
| If I think I might have malaria, I treat myself first, then go for a test if the symptoms get worse |
| A person should only use the Ministry of Health-approved medicine for malaria |
| A person with malaria should only use the treatment approved for the type of malaria you have |
| Malaria medicine that you buy in the market or a shop is as good as the ones approved by the government |
| Trained malaria testers in my area always have a supply of the approved treatments |
| In the past month, have you talked with anyone about the best ways to prevent malaria? |
Description of the study population, by region
| Miner’s characteristics | Prevalence | Chi-square | |||
|---|---|---|---|---|---|
| Region 1 | Region 7 | Region 8 | Total | P-value | |
| Male | 82.4 | 88 | 82.9 | 85.8 | 0.260 |
| Christian | 83.1 | 82.4 | 79.2 | 81.7 | 0.668 |
| ≥ Five years’ mining experience | 38.9 | 56.3 | 41.1 | 49.7 | 0.001*** |
| Older than 35 years old | 42.9 | 47.8 | 33.6 | 43.4 | 0.002** |
| Married | 37.3 | 47.2 | 32.8 | 42.0 | 0.005** |
| Secondary education | 24.7 | 34.4 | 27.2 | 31.1 | 0.079 |
| Had a prior episode of malaria in the past year | 68.3 | 67.8 | 62.4 | 66.5 | 0.361 |
| Owns mobile phone | 61.8 | 77.8 | 61.7 | 71.2 | < 0.001*** |
| Access to mass media channels | 44 | 53.4 | 38.2 | 48.1 | 0.019* |
| Listens to the radio frequently | 8.7 | 16.2 | 13 | 14.2 | 0.168 |
| Watches TV frequently | 25.5 | 21.3 | 15.8 | 20.6 | 0.333 |
| Access internet frequently | 22.7 | 35 | 15.9 | 28.2 | < 0.001*** |
| Access social media frequently | 18.7 | 31.8 | 16.5 | 25.9 | < 0.001*** |
*p < 0.5, **p < 0.01, ***p < 0.05
Percent of respondents with positive ideation constructs, by region
| Ideation constructs | Prevalence | Chi-square | |||
|---|---|---|---|---|---|
| Region 1 | Region 7 | Region 8 | Total | P-value | |
| High knowledge | 58.5 | 59.3 | 51.7 | 57.3 | 0.319 |
| Perceived severity | 88.3 | 95.6 | 86.7 | 92.2 | 0.003** |
| Perceived susceptibility | 62.4 | 55.2 | 41.4 | 52.9 | 0.006** |
| Perceived norms | 19.8 | 23.9 | 12.9 | 20.5 | 0.007** |
| Perceived self-efficacy | 65 | 67 | 69.7 | 67.3 | 0.765 |
| Perceived response efficacy | 42.5 | 55.2 | 37.8 | 48.8 | < 0.001*** |
| Positive beliefs | 38.9 | 52.5 | 48.6 | 49.4 | 0.034* |
| Advocacy/Interpersonal communication | 16.4 | 22.7 | 16.3 | 20.1 | 0.127 |
*p < 0.5, **p < 0.01, ***p < 0.05
Mean ideation score and proportion of miners with high and low scores, by characteristics of the sample
| Mean (standard error [SE]) Ideation Score | % Low Ideation (score < 5) | % High Ideation (score ≥ 5) | P-value | |
|---|---|---|---|---|
| Overall | 4.1 (0.1) | 59.3% | 40.7% | n/a |
| Region | ||||
| 1 | 3.9 (0.2) | 64.4 | 35.6 | 0.002 |
| 7 | 4.3 (0.1) | 53.2 | 46.8 | |
| 8 | 3.7 (0.1) | 70.2 | 29.8 | |
| Sex | ||||
| Female | 4.1 (0.1) | 63.5 | 36.5 | 0.437 |
| Male | 4.1 (0.1) | 58.6 | 41.4 | |
| Religion | ||||
| Other | 3.9 (0.3) | 61 | 39 | 0.743 |
| Christian | 4.1 (0.1) | 58.9 | 41.1 | |
| Age | ||||
| ≤ 35 years | 3.9 (0.1) | 64.3 | 35.7 | 0.004 |
| > 35 years | 4.3 (0.1) | 52.7 | 47.3 | |
| Marital status | ||||
| Not married | 4.0 (0.1) | 59.3 | 40.7 | 0.992 |
| Married | 4.2 (0.1) | 59.2 | 40.8 | |
| Education | ||||
| < Secondary | 4.0 (0.1) | 60.3 | 39.7 | 0.566 |
| ≥ Secondary | 4.3 (0.1) | 57 | 43 | |
| Mining experience | ||||
| < 5 years | 4.0 (0.1) | 61.6 | 38.4 | 0.289 |
| 5 or more | 4.2 (0.1) | 56.9 | 43.1 | |
| Prior episode of confirmed malaria | ||||
| No | 3.9 (0.1) | 63.3 | 36.7 | 0.154 |
| Yes | 4.2 (0.1) | 57.2 | 42.8 | |
| Owns mobile phone | ||||
| No | 3.6 (0.1) | 72.9 | 27.1 | < 0.001 |
| Yes | 4.3 (0.1) | 53.8 | 46.2 | |
| Accesses media channels frequently | ||||
| No | 3.8 (0.1) | 66.9 | 33.1 | < 0.001 |
| Yes | 4.4 (0.1) | 51 | 49 | |
Associations between miner’s ideation and malaria care-seeking, testing, and self-medication
| Overall ideation | aOR (95% CI) of care-seeking and treatment outcomes | |||
|---|---|---|---|---|
| Any care-seeking | Prompt care-seeking | Testing | Self-medication | |
| Ideation score (per 1 unit increase) | 1.19 (1.04–1.36) | 1.10 (0.93–1.30) | 1.22 (1.07–1.38) | 0.87 (0.77–0.99) |
| Ideation variables | ||||
| Knowledge | 1.56 (1.10–2.20) | 1.39 (0.97–1.99) | 1.63 (1.17–2.29) | 0.98 (0.71–1.34) |
| Perceived severity | 0.83 (0.40–1.74) | 0.98 (0.46–2.09) | 0.67 (0.34–1.34) | 0.74 (0.38–1.46) |
| Perceived susceptibility | 0.98 (0.70–1.37) | 1.36 (0.95–1.96) | 0.95 (0.54–1.68) | 1.00 (0.70–1.42) |
| Perceived norms | 1.28 (0.80–2.05) | 1.09 (0.68–1.75) | 1.53 (1.07–2.19) | 0.86 (0.55–1.34) |
| Perceived self-efficacy | 1.25 (0.88–1.79) | 1.02 (0.71–1.45) | 1.51 (1.01–2.27) | 0.74 (0.51–1.07) |
| Perceived response efficacy | 1.51 (1.02–2.24) | 1.24 (0.86–1.78) | 1.41 (1.02–1.95) | 0.70 (0.51–0.95) |
| Beliefs | 1.30 (0.94–1.79) | 1.01 (0.68–1.49) | 1.32 (0.98–1.80) | 0.66 (0.46–0.94) |
| Advocacy/Interpersonal communication | 1.41 (0.90–2.22) | 0.99 (0.62–1.56) | 1.34 (0.75–2.39) | 0.99 (0.64–1.54) |
Adjusted for region, sex, religion, age, marital status, education, mining experience, prior episode of malaria, ownership of a mobile phone and access to mass media channels
Fig. 1Adjusted marginal probabilities of malaria care-seeking outcomes by ideation level. Adjusted for region, sex, religion, marital status, education, mining experience, prior malaria episodes, ownership of a mobile phone and access