| Literature DB >> 34903551 |
Ken Ing Cherng Ong1, Phonepadith Khattignavong2, Sengdeuane Keomalaphet2, Moritoshi Iwagami2,3, Paul Brey2, Shigeyuki Kano2,3, Masamine Jimba4.
Abstract
OBJECTIVES: This mixed methods study was conducted to explore the barriers and facilitators for health-seeking behaviours in a malaria endemic district in Lao PDR.Entities:
Keywords: public health; qualitative research
Mesh:
Year: 2021 PMID: 34903551 PMCID: PMC8671991 DOI: 10.1136/bmjopen-2021-055350
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Sociodemographic characteristics of the villagers
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| Villagers interviewed | 202 | 111 | |
| Sex, n (%) | |||
| Male | 74 (36.6) | 67 (60.4) | |
| Female | 128 (63.4) | 44 (39.6) | |
| Age | |||
| Minimum | 18 | 18 | |
| Maximum | 85 | 73 | |
| Median | 40 | 39 | |
| Mean | 40.9 | 38.6 | |
| Religion, n (%) | |||
| Buddhism | 198 (98.0) | 30 (27.0) | |
| Animism | 4 (2.0) | 81 (73.0) | |
| Ethnicity, n (%) | |||
| Lao | 197 (97.5) | 21 (18.9) | |
| Katang | 2 (1.0) | 89 (80.2) | |
| Do not know | 3 (1.5) | 1 (0.9) | |
| Marital status, n (%) | |||
| Married | 183 (90.6) | 97 (87.4) | |
| Single | 5 (2.5) | 6 (5.4) | |
| Divorced | 2 (1.0) | 1 (0.9) | |
| Widowed | 12 (5.9) | 6 (5.4) | |
| Others | 0 | 1 (0.9) | |
| Occupation, n (%) | |||
| Farmer | 170 (84.2) | 105 (94.6) | |
| Soldier | 1 (0.5) | 0 | |
| Housewife | 18 (8.9) | 2 (1.8) | |
| Businessman/women | 1 (0.5) | 1 (0.9) | |
| Government servant | 7 (3.5) | 2 (1.8) | |
| Others | 5 (2.5) | 1 (0.9) | |
| Education, n (%) | |||
| No education | 71 (35.2) | 42 (37.8) | |
| Preschool | 1 (0.5) | 1 (0.9) | |
| Primary school | 84 (41.6) | 46 (41.4) | |
| Lower secondary school | 28 (13.9) | 14 (12.6) | |
| Upper secondary school | 8 (4.0) | 5 (4.5) | |
| Post secondary non-tertiary | 8 (4.0) | 2 (1.8) | |
| Tertiary | 2 (1.0) | 1 (0.9) | |
| Average monthly household income (kip) (US$ 1=8000 kip (January 2019)) | |||
| Minimum | 0 | 0 | |
| Maximum | 10 000 000 | 4 000 000 | |
| Median | 200 000 | 100 000 | |
| Mean | 496 881 | 290 000 | |
| Number of household members (median) | 5 | 6 | |
| Have insecticide-treated nets at home | |||
| Yes | 169 (83.7) | 107 (96.4) | |
| No | 31 (15.4) | 4 (3.6) | |
| Do not know | 2 (1.0) | 0 | |
*Percentage may not add up to 100 due to rounding.
First place to seek treatment when a family member falls sick
| Where to seek treatment, n (%) | Village A (n=202) | Village B (n=111) |
| Village health volunteer | 25 (12.4) | 0 |
| Health center | 101 (50.0) | 105 (94.6) |
| District hospital | 46 (22.8) | 4 (3.6) |
| Provincial hospital | 6 (3.0) | 1 (0.9) |
| Private pharmacy | 10 (5.0) | 0 |
| Traditional healer | 1 (0.5) | 0 |
| Others | 13 (6.4) | 1 (0.9) |
Knowledge of malaria and treatment
| Village A (n=202) | Village B (n=111) | ||
| What causes malaria? n (%) | |||
| Mosquito bites | 115 (56.9) | 85 (76.6) | |
| Eating dirty food | 17 (8.4) | 9 (8.1) | |
| Eating uncooked food | 6 (3.0) | 7 (6.3) | |
| Drinking dirty water | 30 (14.9) | 27 (24.3) | |
| Witchcraft | 0 | 0 | |
| Going to the forest | 73 (36.1) | 49 (44.1) | |
| Changing weather | 8 (4.0) | 3 (2.7) | |
| Getting soaked with rain | 3 (1.5) | 1 (0.9) | |
| How to protect yourself against malaria? n (%) | |||
| Sleep under an insecticide-treated mosquito net | 150 (74.3) | 101 (91.0) | |
| Use mosquito repellent | 9 (4.5) | 4 (3.6) | |
| Avoid mosquito bites | 9 (4.5) | 5 (4.5) | |
| Avoid going to the forest | 10 (5.0) | 4 (3.6) | |
| Take preventive medicine | 2 (1.0) | 0 | |
| Spray house with insecticide | 8 (4.0) | 1 (0.9) | |
| Use mosquito coils | 10 (5.0) | 4 (3.6) | |
| Fill in puddles around the house | 18 (8.9) | 3 (2.7) | |
| Keep surrounding of the house clean | 54 (26.7) | 42 (37.8) | |
| Burn leaves | 4 (2.0) | 10 (9.0) | |
| Do not drink dirty water | 23 (11.4) | 28 (25.2) | |
| Do not eat dirty food | 8 (4.0) | 12 (10.8) | |
| Put mosquito screens on the window | 0 | 1 (0.9) | |
| Do not get soaked with rain water | 0 | 0 | |
| What are the symptoms that indicate a person has malaria? n (%) | |||
| Fever | 115 (56.9) | 70 (63.1) | |
| Feeling cold | 89 (44.1) | 73 (65.8) | |
| Headache | 116 (57.4) | 85 (76.6) | |
| Nausea and vomiting | 30 (14.9) | 17 (15.3) | |
| Diarrhoea | 2 (1.0) | 2 (1.8) | |
| Dizziness | 16 (7.9) | 13 (11.7) | |
| Loss of appetite | 12 (5.9) | 4 (3.6) | |
| Bodyache/joint pain | 58 (28.7) | 23 (20.7) | |
| Pale eyes | 5 (2.5) | 0 | |
| Feeling weak | 14 (6.9) | 9 (8.1) | |
| What is the most effective medication to treat malaria? n (%) | |||
| Chloroquine | 0 | 1 (0.9) | |
| Quinine | 2 (1.0) | 3 (2.7) | |
| Artemisinin combination therapy (Coartem TM) | 3 (1.5) | 12 (10.8) | |
| Aspirin, panadol and paracetamol | 12 (5.9) | 8 (7.2) | |
| Do not know | 185 (91.6) | 85 (76.6) | |
| What are the main danger signs of malaria? n (%) | |||
| Seizure | 29 (14.4) | 16 (14.4) | |
| Fainting | 7 (3.5) | 5 (4.5) | |
| Any fever | 8 (4.0) | 1 (0.9) | |
| High fever | 26 (12.9) | 20 (18.0) | |
| Stiff neck | 2 (1.0) | 3 (2.7) | |
| Feeling weak | 8 (4.0) | 3 (2.7) | |
| Not active | 2 (1.0) | 2 (1.8) | |
| Chills/shivering | 30 (14.9) | 24 (21.6) | |
| Not able to eat | 4 (2.0) | 1 (0.9) | |
| Vomiting | 9 (4.5) | 18 (16.2) | |
| Crying all the time | 4 (2.0) | 1 (0.9) | |
| Restless | 19 (9.4) | 14 (12.6) | |
| Diarrhoea | 0 | 2 (1.8) | |
Individual beliefs
| Village A (n=202) | Village B (n=111) | P value | ||
| Villagers who perceived the consequences of malaria were serious (perceived severity) n (%) | 109 (54.0) | 60 (54.1) | 0.987 | |
| Villagers who perceived they were at high risk of malaria (perceived susceptibility) n (%) | 112 (55.5) | 61 (55.0) | 0.933 | |
| Villagers who believed that the recommended practice or product will reduce their risk (perceived benefits) n (%) | ||||
| Bed net use | 126 (62.4) | 71 (64.0) | 0.781 | |
| Malaria diagnostics | 120 (59.4) | 64 (57.7) | 0.764 | |
| Malaria treatments with ACT | 159 (78.7) | 88 (79.3) | 0.906 | |
| Villagers who are confident in their abilities to perform a specific malaria-related behaviour (self-efficacy) n (%) | ||||
| Protection of self and family | 158 (78.2) | 76 (68.5) | 0.057 | |
| Bed net use | 198 (98.0) | 110 (99.1) | 0.466 | |
| Malaria detection | 153 (75.7) | 81 (73.0) | 0.589 | |
| Seek diagnosis | 185 (91.6) | 96 (86.5) | 0.154 | |
| Seek treatment | 198 (98.0) | 107 (96.4) | 0.384 |
χ2 test.
ACT, artemisinin combination therapy.
Clinical vignettes: first place to seek treatment
| Haemolytic anaemia (n (%)) | Malaria (n (%)) | Tuberculosis (n (%)) | Acute respiratory infection (n (%)) | Diarrhoea (n (%)) | ||||||
| Village A (n=202) | Village B (n=111) | Village A (n=202) | Village B (n=111) | Village A (n=202) | Village B (n=111) | Village A (n=202) | Village B (n=111) | Village A (n=202) | Village B (n=111) | |
| Public health facilities | 190 (94.1) | 109 (98.2) | 194 (96.0) | 109 (98.2) | 189 (93.6) | 108 (97.3) | 181 (89.6) | 109 (98.2) | 188 (93.1) | 108 (97.3) |
| Others | 9 (4.5) | 1 (0.9) | 7 (3.5) | 1 (0.9) | 11 (5.5) | 2 (1.8) | 20 (9.9) | 1 (0.9) | 12 (5.9) | 2 (1.8) |
| Take no action | 3 (1.5) | 1 (0.9) | 1 (0.5) | 1 (0.9) | 2 (1.0) | 1 (0.9) | 1 (0.5) | 1 (0.9) | 2 (1.0) | 1 (0.9) |
Factors associated with perceived severity and perceived susceptibility
| Perceived severity of malaria | ||
| Characteristics | Adjusted OR (95% CI) | P value |
| Village | ||
| 1.00 | 0.811 | |
| 1.11 (0.48 to 2.58) | ||
| Sex | ||
| 1.00 | 0.090 | |
| 0.65 (0.40 to 1.07) | ||
| Ethnicity | ||
| Lao | 1.00 | 0.615 |
| Others | 0.80 (0.34 to 1.89) | |
| Experienced malaria before | ||
| 1.00 |
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| 1.69 (1.03 to 2.75) | ||
| Knowing that malaria is caused by mosquito bites | ||
| 1.00 | 0.217 | |
| 0.74 (0.46 to 1.20) | ||
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| Village | ||
| 1.00 | 0.805 | |
| 0.90 (0.39 to 2.07) | ||
| Sex | ||
| 1.00 | 0.910 | |
| 1.03 (0.63 to 1.67) | ||
| Ethnicity | ||
| 1.00 | 0.754 | |
| 1.14 (0.49 to 2.67) | ||
| Experienced malaria before | ||
| 1.00 | 0.344 | |
| 1.26 (0.78 to 2.04) | ||
| Knowing that malaria is caused by mosquito bites | ||
| 1.00 | 0.611 | |
| 0.88 (0.55 to 1.43) | ||
Figure 1Joint display of knowledge of the cause of malaria.
Figure 2Joint display of the impact of National Health Insurance.
Figure 3Joint display of the barriers in treatment seeking.