Literature DB >> 25557741

Caregivers' treatment-seeking behaviour for children under age five in malaria-endemic areas of rural Myanmar: a cross-sectional study.

Moe Moe Thandar, Myat Phone Kyaw, Masamine Jimba, Junko Yasuoka1.   

Abstract

BACKGROUND: A community-based malaria intervention was introduced through fixed and mobile clinics in rural Myanmar. This study attempted to identify treatment-seeking behaviour of caregivers for children under five and the determinants of appropriate treatment-seeking behaviour in mobile clinic villages (MV) and non-mobile clinic villages (NMV) in malaria-endemic rural areas in Myanmar.
METHODS: A cross-sectional study was conducted in 23 MV and 25 NMV in Ingapu Township, Myanmar. Appropriate treatment-seeking behaviour was operationally defined as seeking treatment from trained personnel or at a health facility within 24 hours after the onset of fever. Multiple logistic regression analyses were conducted to identify the determinants of appropriate treatment-seeking behaviour.
RESULTS: Among the 597 participants in both types of villages, 166 (35.3%) caregivers sought appropriate treatment. No significant difference in appropriate treatment-seeking behaviour was found between the two types of villages (adjusted odds ratio (AOR), 0.80; 95% confidence interval (CI), 0.51-1.24). Determinants of behaviour include proximity to public health facilities (AOR, 5.86; 95% CI, 3.43-10.02), knowledge of malaria (AOR, 1.90; 95% CI, 1.14-3.17), malaria prevention behaviour (AOR, 1.76; 95% CI, 1.13-2.76), treatment at home (AOR, 0.26; 95% CI, 0.15-0.45), and treatment and transportation costs (AOR, 0.52; 95% CI, 0.33-0.83).
CONCLUSIONS: Caregivers' treatment-seeking behaviour was poor for fever cases among children under age five, and did not differ significantly between MV and NMV. It is necessary to educate caregivers, particularly for early treatment seeking and appropriate use of health care options for fever, and catering to their medical needs. These findings can help promote awareness and prevention, and improve the quality of interventions at the community level.

Entities:  

Mesh:

Year:  2015        PMID: 25557741      PMCID: PMC4326195          DOI: 10.1186/1475-2875-14-1

Source DB:  PubMed          Journal:  Malar J        ISSN: 1475-2875            Impact factor:   2.979


Background

Malaria is a major health issue in several tropical and sub-tropical countries [1]. In 2012, there were an estimated 207 million malaria cases and 627,000 malaria deaths, of which 77% of deaths were children under age five [2]. However, malaria mortality has decreased by more than 25% since 2000 due to extensive prevention and control measures [3]. Appropriate malaria treatment administered within 24 hours after the onset of fever can help lower it further [4]. Although malaria is typically treated at health facilities, diagnosis and treatment at community level is effective when access to such facilities is limited. The effectiveness of community-level malaria control measures is influenced by early recognition of symptoms and subsequent treatment-seeking behaviour [5]. It is therefore crucial to obtain region-specific information on treatment-seeking behaviour for malaria, the use of anti-malarial drugs, and obstacles to treatment [6, 7]. Malaria treatment-seeking behaviours are also associated with socio-economic, demographic and personal factors. Other important factors are proximity to health facilities, availability of transportation, knowledge of malaria, a history of malaria, cultural beliefs regarding traditional and herbal medicines, satisfaction with health services, and attitude towards health care providers [1, 8–13]. In Myanmar, malaria is of national concern. Approximately 63% of the country’s population lives in malaria-affected areas. Three major post-natal causes of deaths among one- to 59-months-old children are pneumonia, diarrhoea and malaria [14]. Over the past 20 years, the National Malaria Control Programme (NMCP) has made considerable progress in malaria control. Yet the proportion of under-five children who received anti-malarial drugs was well below 60%, and the proportion of under-five children sleeping under insecticide-treated nets was less than 40% in 2008 [15]. Data on malaria-related treatment-seeking behaviours are limited [12]; the only available data found that self-treatment and seeking assistance from drug vendors were the most common practices in Teikkyi township and Shan Special Region II [12, 16]; and in the China-Myanmar border area, only 32.0% of malaria patients sought treatment within 24 hours and 20.1% were tested for confirming diagnosis [12]. A Myanmar Medical Association-Malaria (MMA-Malaria) project has been implementing a community-based malaria control programme that promotes the rational use of government-recommended anti-malarial drugs and rapid diagnostic tests (RDT). It also introduces fixed and mobile clinics, and recruits village malaria volunteers in malaria-endemic townships for diagnosis and treatment. However, little is known about treatment-seeking behaviour after introducing this malaria control programme in communities. To evaluate such control programmes, it is critical to obtain baseline information at the initial stages of programme implementation. Therefore, this study attempted to identify caregivers’ treatment-seeking behaviour for children under five and determinants of appropriate treatment-seeking behaviour in mobile clinic villages (MV) and non-mobile clinic villages (NMV) in malaria-endemic rural areas in Myanmar.

Methods

Study area

This cross-sectional study was conducted in Ingapu Township, Ayeyarwaddy region, Myanmar. Of 213,064 residents in the township, 22,790 are children under age five. Thirty-one per cent of the total population in Ingapu Township is at high risk for malaria [17]. Malaria morbidity was 16.78 per 1,000 individuals and mortality was 3.75 per 100,000 cases in 2011. The MMA-Malaria project has conducted a malaria control programme through fixed and mobile clinics and village volunteers in this township since 2012. One fixed clinic is located at Kwin Kaut town and 34 malaria-endemic villages were selected for mobile clinic visits based on malaria incidences and accessibility. One volunteer in each selected village was recruited for the period between the mobile clinic visits. The mobile team and volunteers provided malaria diagnosis and treatment, and confirmed malaria patients were provided with malaria-related health education by using pamphlets and long-lasting insecticide nets (LLIN). These activities were gradually expended to 34 villages by June 2013.

Sampling method

Of the 34 malaria-endemic villages where the MMA-Malaria project intervention was introduced, 23 MV were randomly selected for the study. Out of 225 malaria-endemic villages without MMA-Malaria project intervention, 25 non-intervention villages were selected as a comparison group (NMV), ensuring similarity in residents’ demographics, socio-economic status, geographical location, and proximity to fixed clinics. Villages with rural health centres (RHCs) were excluded. Depending on the population of the village (150–500 residents), approximately 12 participants from each village were selected.

Participants

Study participants were caregivers of children under five years who had a history of fever during the two months preceding the study. Caregivers were mothers or other family members who were most responsible for attending to their child’s health. Caregivers younger than 18 years and those with mental health problems were excluded. Further, those whose children were ill at the time of the interview were also excluded, as they were likely to seek health care until the child was cured. In high-risk areas, malaria is suspected in every fever case. Therefore, in this study seeking treatment within 24 hours after the fever was set as the indicator of appropriate treatment-seeking behaviour [12, 13].

Sample size calculation

The sample size was calculated using Epi Info 7 (Centers for Disease Control and Prevention, Atlanta, Georgia). The test’s power was 80% with a 95% confidence interval. Due to limited data about treatment-seeking behaviour for children under five, the prevalence of the dependent variable was estimated to be 70% for this study, based on a previous study in Bago Region in Myanmar [18]. This resulted in a minimum sample size of 246 participants in one group. To compensate for missing responses, at least 300 participants for each group were recruited in this study.

Measurements and variables

A structured questionnaire was developed based on the WHO Malaria Indicator Survey tool [19] and relevant studies [20-23]. The questionnaire was first developed in English, translated into Myanmar language, and translated back into English by experts on public health and malaria in Myanmar. The questionnaire was pre-tested in a village with comparable proximity and demographic distribution to the selected villages before finalizing the instrument for data collection. The questionnaire contained four major domains: socio-demographic characteristics, knowledge of malaria, malaria prevention behaviour, and malaria treatment-seeking behaviour.

Outcome variables

The outcome variable was appropriate treatment-seeking behaviour, operationally defined as seeking treatment from trained personnel or at a health facility within 24 hours of the onset of fever [24]. In this study, the first treatment source sought by caregivers was examined if it was trained personnel or health facility. If not, the treatment-seeking behaviour was considered inappropriate.

Independent variables

Socio-economic and personal factors are known to influence treatment-seeking behaviour. The following were included as independent variables: participants’ age, sex [12], level of education, occupation [1, 9, 10], income [1, 12], proximity to public health services [1], knowledge of malaria [9], prevention behaviour [20] and type of village (MV or NMV).

Knowledge of malaria

Seven components of knowledge about malaria were measured: symptoms, cause, vulnerable groups, prevention, diagnosis, treatment, and government recommended medication. Each component was assessed by multiple-choice questions, awarded one point for each correct answer. The scores for each component were summed to yield the total knowledge index. The knowledge index scores were categorized into a high and low group, using the median [21, 22].

Malaria prevention behaviour

Malaria prevention behaviours were measured using a single question with multiple correct choices. Each malaria prevention measure that the participant selected was awarded one point and the total score was summed. The final scores were categorized into a high and low group, using the median [22].

Data collection

Data were collected in the monsoon season when malaria transmission is high, from August to September 2013. The lead researcher and three trained interviewers conducted face-to-face interviews for about 30 minutes. The interviewers informed caregivers about the purpose and procedure of the research and ensured that confidentiality would be maintained. In each village, interviewers visited every accessible household to screen them for the study by inquiring whether any children under age five had a history of fever in the previous two months. If there was more than one child with a history of fever in the previous two months, the history of the most recent child was obtained. In total, 302 participants were selected for the survey in MV and 300 participants in NMV.

Data analysis

After data collection, data were coded and entered using EpiData and analysed with SPSS version 16 (SPSS Inc, Chicago, IL, USA). Of the 602 participants, five were under the age of 18 years, therefore data of 597 caregivers were used. Frequencies and proportions were used for descriptive data. Independent t-tests were used to compare age, number of household members, number of children under five, and income. Chi-square test and Fisher’s exact test were used to compare the differences in proportions. To represent appropriate treatment-seeking behaviour, the time taken to seek treatment and health service provider sought were combined and then categorized into four groups. The first group comprised caregivers who sought treatment at a health facility or from trained personnel within 24 hours. The second comprised caregivers who sought treatment within 24 hours, but not at a health facility or from trained personnel. The third comprised caregivers who sought treatment at a health facility or from trained personnel, but not within 24 hours. The fourth group comprised caregivers who did not seek treatment at a health facility or from trained personnel, nor sought treatment within 24 hours. The first group was termed ‘caregivers with appropriate treatment-seeking behaviour’; the three remaining groups were termed ‘caregivers without appropriate treatment-seeking behaviour’. To examine appropriate treatment-seeking behaviour, all study participants’ data were combined and two kinds of analyses were performed. First, descriptive analyses were conducted to examine differences in characteristics of caregivers who demonstrated appropriate treatment-seeking behaviour and those who did not. Second, multiple logistic regression was performed to identify the determinants of appropriate treatment-seeking behaviour. Type of village (MV and NMV) was set as an independent variable in multiple logistic regression analysis. Multicollinearity among independent variables was tested before logistic regression. Potential confounders included level of education, occupation and income. All continuous variables were converted to dichotomous variables for multiple logistic regression analysis using the sample median and statistical significance was set at p <0.05.

Ethical considerations

Ethical approval was obtained from the Research Ethics Committee of the Graduate School of Medicine, the University of Tokyo, Japan, and the Department of Medical Research (Lower Myanmar), Ministry of Health, Yangon, Myanmar. Upon explaining the objectives of the study, written consent was obtained from all respondents and confidentiality was maintained. Participants’ names were not recorded; instead, identification numbers were used. All the information was treated confidentially and only available to those who directly concerned with this research.

Results

Socio-demographic characteristics of participants

In total, 597 caregivers participated in this study (see Table 1). Almost all participants were mothers, married and of Burma ethnicity. Participants’ mean age was 31.5 years (range: 18–75 years). The mean age of children under five with a history of fever during the two months before the interview was 27.4 months (range: 2–59 months); 53.1% of the children were boys.
Table 1

Socio-demographic characteristics of participants

VariablesMV (n = 299)NMV (n = 298)
n%n%p value
Number of household members
  ≤ 418361.218361.40.959
  > 411638.811538.6
Number of children U5 at home
 127190.626588.90.491
  > 1289.43311.1
Children’s age (months)
  ≤ 2715852.815953.40.900
  > 2714147.213946.6
Children’s sex
 Male15652.216154.00.650
 Female14347.813746.0
Caregivers’ age (years)
  ≤ 3017056.915552.00.235
  > 3012943.114348.0
Relationship to child
 Mother27190.627090.60.989
 Other289.4289.4
Level of education
 Illiterate227.4217.00.984
 Primary school20969.920869.8
 Secondary school or higher6822.76923.2
Occupation
 Farmer11638.912341.4 0.001
 Forest worker7023.53010.1
 Other11237.614448.5
Income (US$)
  ≤ 6016555.919766.1 0.011
  > 6013044.110133.9
Nearest health service*
 Drug store17257.516053.7 <0.001
 Midwife6822.76220.8
 Charlatan/traditional healer299.73511.7
 Malaria volunteer175.700.0
 Rural health centre93.03110.4
 General practitioner41.3103.4
Mode of transportation
 On foot26087.014983.60.241
 By vehicle3913.04916.4
Duration
 Within 30 min29197.328796.30.480
 More than 30 min82.7113.7

Notes: MV: Mobile clinic villages; NMV: non-mobile clinic villages; children U5: children under five; Chi-square test p-vale (*Fisher’s exact test).

Socio-demographic characteristics of participants Notes: MV: Mobile clinic villages; NMV: non-mobile clinic villages; children U5: children under five; Chi-square test p-vale (*Fisher’s exact test). No significant differences between MV and NMV were observed for socio-demographic characteristics, except for occupation, income and nearest health service provider. In MV, 23.5% of residents were forest workers, while 10.1% were forest workers in NMV (p = 0.001); 44.1% in MV as opposed to 33.9% in NMV had a monthly income of more than 60US$ (p = 0.011). In both types of villages, the closest health service providers were drug stores (MV 57.5% vs NMV 53.7%), followed by midwives (MV 22.7% vs NMV 20.8%).

Caregivers’ treatment-seeking behaviour

In more than 80% of the households mothers were the decision-makers for seeking treatment outside the home in both types of villages (see Table 2). More than 50% of the caregivers did not medicate at home before seeking treatment, and more than 66% sought treatment outside the home in both types of villages. About 90% of the caregivers raised “disease severity” as the most important deciding factor to seek treatment. In both types of villages, more than 50% of the caregivers sought treatment within 24 hours of the onset of fever and was comparative across MV (57%) and NMV (62%).
Table 2

Caregivers’ treatment-seeking behaviour

VariablesMV (n = 299)NMV (n = 298)
n%n%p value
Decision-maker for seeking treatment
 Mother24682.325184.20.523
 Other5317.74715.8
Deciding factor
 Disease severity27291.326588.90.337
 Other268.73311.1
Treatment at home
 Yes12742.511538.60.334
 No17257.518361.4
Treatment outside
 Yes22976.624180.90.201
 No705.85719.1
Reason for not receiving treatment
 Quick recovery4767.14477.20.211
 Other2332.91322.8
Time taken to seek treatment
 Within 24 hours13157.215062.20.441
 Other9842.89137.8
Primary health service provider*
 Midwife7331.95824.1 0.041
 GP6227.16225.7
 Drug store5524.06527.0
 Charlatan/traditional healer156.6208.3
 RHC146.13112.9
 Malaria volunteer/mobile clinic62.610.4
 Hospital41.741.7
Reason for choosing primary health service
 Trust11148.511748.50.097
 Proximity6427.95422.4
 Other2812.34117.0
 Famous104.452.1
 Inexpensive167.02410.0
Mode of transportation
 On foot10847.211949.40.807
 Motorbike6829.77229.9
 Other5323.15020.7
Blood test
 Yes177.4166.60.739
 No21292.622593.4
Location where blood test was conducted*
 Midwife529.4637.50.230
 GP741.2318.8
 Hospital/RHC211.8637.5
 Malaria volunteer/mobile clinic317.616.3
Health education conducted with patient
 Drug timetable787.55100.00.411
 Drug compliance787.55100.00.411
 Preparedness for worsened symptoms*675.0240.00.293
 Follow up*225.0240.01.000
 Severe malarial symptoms*225.0120.01.000
 Side effects*112.500.01.000
Total cost (US$)
  ≤ 1.1111.048.512551.90.462
  > 1.1118.051.511648.1
Used MMA service
 Yes5217.43210.7 0.019
 No24782.626689.3

Notes: MV: Mobile clinic villages; NMV: non-mobile clinic villages; GP: general practitioner; RHC: rural health centre; MMA: Myanmar Medical Association; Chi-square test p-vale (*Fisher’s exact test).

Caregivers’ treatment-seeking behaviour Notes: MV: Mobile clinic villages; NMV: non-mobile clinic villages; GP: general practitioner; RHC: rural health centre; MMA: Myanmar Medical Association; Chi-square test p-vale (*Fisher’s exact test). The most frequented primary health service provider was the midwife (31.9%) for caregivers who sought treatment outside the home in MV (n = 229), whereas in NMV (n = 241), the drug stores were the most frequented primary source for treatment (27.0%) (p = 0.041). Only 2.6% of caregivers sought treatment from mobile clinics or malaria volunteers in MV. Further, 49.3% of caregivers took longer than 15 minutes to reach the first source for treatment in MV as opposed to 39.0% in NMV (p = 0.024). In MV, of the total 229 children who received treatment outside their homes, 17 were tested for malaria; 15 (6.6%) children received a malaria diagnosis using blood tests with RDT, and two children (0.9%) received a diagnosis using microscopy. In NMV, of the total 241 children who received treatment outside home, 16 children were tested for malaria; blood test with RDT were conducted on 15 children (6.2%) and one child (0.4%) received a diagnosis with microscopy. In MV, blood tests were conducted most frequently at general practitioners’ (GPs) clinics, while in NMV, public health facilities (midwives, hospitals, and RHCs) were most frequently visited for blood tests. Only five children in MV and three in NMV received positive results for malaria on the blood test. In both types of villages, 88 caregivers consulted more than one health service provider and 20 caregivers consulted three providers. When mobile clinics and malaria volunteers were sought, they were always the first-choice health service provider (data not shown in Table). Fifty-two caregivers (17.4%) from MV and 32 caregivers (10.7%) from NMV had sought MMA mobile clinics or malaria volunteers at least once (p = 0.019).

Caregivers’ knowledge of malaria

In both types of villages, more than 85% of the caregivers stated chills and rigor as symptoms of malaria (see Table 3). More than 60% in both types of villages included sweating as a symptom of malaria. About 50% of caregivers in both types of villages were aware that children under five were especially vulnerable to malaria infection and more than 90% knew that mosquito bites cause malaria.
Table 3

Caregivers’ knowledge of malaria

VariablesMV (n = 299)NMV (n = 298)
n%n%p value
Symptoms
Fever (yes)27095.426397.40.208
Chills and rigors (yes)24887.625594.4 0.005
Headache (yes)21174.621579.60.156
Sweating (yes)17762.520274.8 0.002
Vulnerable groups
Under-five children (yes)16257.213248.9 0.049
Pregnant mothers (yes)13949.111643.00.147
Forest workers (yes)25690.524891.90.565
Farmers (yes)17060.115055.60.282
Causes
Mosquito bite (yes)27998.625694.8 0.012
Coughing and sneezing (no)4616.35118.90.415
Contact (no)8329.38130.00.863
Drinking (no)4315.23713.70.618
Bathing (no)6322.34817.80.188
Eating bananas (no)7426.16323.30.443
Prevention method
Use mosquito/bed net (yes)24586.623787.80.672
Use LLIN (yes)23984.522884.40.998
Avoid mosquito bites (yes)23583.023486.70.235
Use mosquito coil (yes)19669.320274.80.146
Use mosquito repellent (yes)15855.813951.50.305
Wear long-sleeved clothing (yes)21977.420977.40.995
Clean environment (yes)24787.323587.00.932
Cover water containers (yes)24185.223587.00.524
Diagnosis
Blood test (yes)22579.522081.50.558
Fever with chills and rigor (no)19637.511442.20.252
Observation (no)269.2228.10.664
Curable drugs
Anti-malarials (yes)16991.416591.20.948
Antibiotics (no)9450.88949.20.754
Traditional medicine (no)6434.67038.70.418
Vitamins (no)8344.99954.70.060
Government recommended drug (Coartem)4455.04775.8 0.010

Notes: MV: Mobile clinic villages; VWOMC: non-mobile clinic villages; LLIN: long-lasting insecticide nets; Chi-square test p-vale.

Caregivers’ knowledge of malaria Notes: MV: Mobile clinic villages; VWOMC: non-mobile clinic villages; LLIN: long-lasting insecticide nets; Chi-square test p-vale. In both types of villages, more than 80% of caregivers answered malaria could be prevented by using mosquito nets or LLIN. Nearly 80% of respondents in both types of villages answered that malaria could be diagnosed by blood tests and over 90% knew that malaria could be treated using anti-malarial drugs. Moreover, 55.0% of caregivers in MV compared to 75.8% in NMV could provide the name of the recommended drug (p = 0.010).

Caregivers’ malaria prevention behaviour

In both types of villages, the most popular method for malaria prevention, with nearly 100% response rate, was using bed nets (see Table 4). This was followed by avoiding mosquito bites (more than 92%), and wearing long-sleeved shirts and trousers (more than 71%) in both villages. The use of LLIN was low in both types of villages (less than 15%).
Table 4

Caregivers’ malaria prevention behaviour

VariablesMV (n = 299)NMV (n = 298)
N%n%p value
Preventive action
Using mosquito/bed net27898.2270100.0 0.028
Avoid mosquito bites26292.625694.80.281
Wearing long-sleeved clothing22178.119471.90.090
Using mosquito coil16056.513750.70.172
Using LLIN3412.03914.40.399
Using mosquito repellent103.5145.20.341

Notes: MV: Mobile clinic villages; NMV: non-mobile clinic villages; LLIN: long-lasting insecticide nets; Chi-square test p-vale.

Caregivers’ malaria prevention behaviour Notes: MV: Mobile clinic villages; NMV: non-mobile clinic villages; LLIN: long-lasting insecticide nets; Chi-square test p-vale.

Determinants of appropriate treatment-seeking behaviour

Table 5 shows the determinants of appropriate treatment-seeking behaviour. Proximity to public health facilities was positively associated with appropriate treatment-seeking behaviour (adjusted odds ratio (AOR), 5.86; confidence interval (CI), 3.43-10.02). Caregivers who gave their child any medicine at home before seeking treatment outside were less likely to seek appropriate treatment (AOR, 0.26; CI, 0.15-0.45). Caregivers who spent less on treatment and transportation to the nearest health services were less likely to seek appropriate treatment (AOR = 0.52; CI 0.33-0.83). Compared to caregivers who had low levels of knowledge, caregivers with high levels of knowledge were more likely to seek appropriate treatment (AOR = 1.90; CI 1.14-3.17). Similarly, caregivers who had high levels of malaria prevention behaviour were more likely to seek appropriate treatment (AOR = 1.76; CI 1.13-2.76).
Table 5

Determinants of appropriate treatment-seeking behaviour

VariablesAOR(95% CI)
Type of village
 NMV (ref.)
 MV0.80(0.51-1.24)
Number of children U5 at home
  > 1 (ref.)
 11.05(0.48-2.30)
Children’s age (months)
  ≤ 27 (ref.)
  > 270.70(0.44-1.09)
Children’s sex
 Female (ref.)
 Male1.26(0.81-1.93)
Caregivers’ age (years)
  ≤ 30 (ref.)
  > 300.75(0.47-1.19)
Marital status
 Other (ref.)
 Married1.70(0.53-5.45)
Level of education
 Illiterate (ref.)
 Primary school0.99(0.38-2.61)
 Secondary school or higher1.06(0.37-3.05)
Occupation
 Other (ref)
 Farmer0.87(0.54-1.41)
 Forest worker0.80(0.42-1.51)
Income (US$)
  ≤ 60 (ref.)
  > 601.04(0.65-1.66)
Nearest health service
 **Inappropriate health service (ref.)
 Public health service5.86(3.43-10.02)*
 Private health service1.69(0.52-5.46)
Mode of transportation
 By vehicle (ref.)1.84(0.94-3.61)
 On foot
Proximity to nearest health service
 More than 30 min (ref.)
 Within 30 min3.42(0.82-14.16)
Treatment at home
 No (ref.)
 Yes0.26(0.15-0.45)*
Total cost (US$)
  > 1.1 (ref)
  ≤ 1.10.52(0.33-0.83)*
Knowledge level
 Low (ref.)
 High1.90(1.14-3.17)*
Preventive action
 Low (ref.)
 High1.76(1.13-2.76)*

Notes: MV: Mobile clinic villages; NMV: non-mobile clinic villages; Children U5: children under five; AOR: adjusted odds ratio; CI: Confidence interval; *p value <0.05; **Inappropriate health service includes drug stores, charlatans and traditional healers.

Determinants of appropriate treatment-seeking behaviour Notes: MV: Mobile clinic villages; NMV: non-mobile clinic villages; Children U5: children under five; AOR: adjusted odds ratio; CI: Confidence interval; *p value <0.05; **Inappropriate health service includes drug stores, charlatans and traditional healers.

Discussion

This study revealed several important findings regarding caregivers’ treatment-seeking behaviour for children under age five in malaria endemic areas of rural Myanmar. First, caregivers’ treatment-seeking behaviour was poor; only one-third demonstrated appropriate treatment-seeking behaviour, and the rates of appropriate treatment-seeking behaviour did not differ significantly between MV and NMV. Caregivers’ knowledge of malaria, malaria prevention behaviour and proximity to public health service were important determinants of appropriate treatment-seeking behaviour. At the same time, treatment at home and total cost for treatment and transportation were negatively associated with appropriate treatment-seeking behaviour. Midwives played an important role in treatment-seeking behaviour, as most caregivers first approached the local midwife for their child’s illnesses. Only about one-third of caregivers demonstrated appropriate treatment-seeking behaviour. Approximately 20% of the children with fever were not taken to any health services for advice or treatment. This situation appears to be much worse than reported in a study conducted in Wa region in Myanmar, wherein 12.5% of caregivers did not seek treatment for their child’s fever [12]. Despite this, the present study found that participants’ treatment-seeking behaviour was more favourable than those in several study sites in other countries [7, 25–27]. The delay in seeking treatment and the decision to utilize untrained health services are a grievous concern as only about one-third of the caregivers sought treatment for their children at a health facility or from trained personnel within 24 hours of the onset of fever. Another third had consulted with trained personnel or at health facilities but only after 24 hours. A quarter of all caregivers sought treatment within 24 hours, but from untrained health services including drug stores, charlatans and traditional healers; 8.5% sought treatment at untrained health services after 24 hours. A study conducted in India showed that children under five were at high risk because they had the least timely and least effective treatment for febrile illnesses among all age groups [5]. In this preliminary survey to determine baseline rates, the presence of mobile clinics (MV) was not associated with appropriate treatment-seeking behaviour for children under five. This may be explained by the limited activities conducted by the mobile team and volunteers for the residents of the target villages in the initial stages of intervention. The initial stage included malaria diagnosis for fever patients and treatment specifically for confirmed malaria cases visiting the clinic, wherein only the patients benefitted from their activities that were not extended to meet community needs. Further, circumstances between MV and NMV were not identical despite efforts to match both. That is, MV were selected because of their relatively inaccessible location (remote, bordering forests where malaria vectors breed, and at a great distance from RHCs). The caregivers were inadvertently more familiar with inappropriate health services, such as drug stores, than mobile clinics and village volunteers in rural areas. However, previous studies in Bago Region in Myanmar concluded that having volunteers specifically trained for implementing malaria control programmes can improve accessibility and administration of health care in villages without health staff, although overall they may remain low [18]. One of the behaviours that led to the delay in seeking treatment was treatment at home; almost 50% of the children with fever were treated at home before seeking treatment outside. Individuals are more likely to begin with self-medication at home to minimize both expenditure and the burden of reaching a facility in remote areas where transportation and health facilities are scarce [28-30]. A high proportion of fever cases were first treated at home with shop-bought drugs before visiting health facilities [31]. Caregivers who administered medication at home were not likely to seek appropriate treatment [12], possibly because the child recovered after self-medication and/or other first-aid measures, such as tepid sponging. Greater awareness about malaria and undertaking a broader range of preventive actions for malaria influence appropriate treatment-seeking behaviour. A study in Cambodia showed that early recognition of malaria symptoms is the first important step to treatment seeking [20]. In the present study, although caregivers were aware of malaria symptoms, about 50% were unaware that children under five and pregnant mothers are especially vulnerable to malaria. A previous study in Tikekyi township,Yangon region and four townships in Bago region, Myanmar demonstrated that the level of awareness about malaria was low compared to the average score used in the studies [16, 32]. The most popular health service providers in this study were midwives, primarily because caregivers’ trust them being qualified and experienced health providers [33, 34]. Another reason is that midwives have served villagers for longer than the village malaria volunteers [18]. A survey conducted by Myanmar Artemisinin Resistance Containment (MARC) showed that the public sector, including RHCs and midwives, was cited as the most popular source for treatment of malaria [35]. Drug stores also played an important role in the present study, as one-quarter of the caregivers sought treatment from them. A similar situation was observed in sub-Saharan Africa [36]. Proximity to drug stores may have encouraged individuals to use them to save on transportation [37]. Findings from this study should be considered in the context of some limitations. First, caregivers were asked about the fever of their children under five during the previous two months, thus responses might reflect recall bias. Nevertheless, the items utilized in data collection were drawn from validated and reliable instruments that have been used in a variety of settings. Second, this study was unable to explore causal relationships because of a cross-sectional study design. Despite these limitations, this study is valuable as it identified the determinants of caregivers’ treatment-seeking behaviour for children under five presenting with fever in malaria-endemic, rural Myanmar. This study provides baseline findings for the initial stage of the implemented intervention.

Conclusions

Caregivers’ treatment-seeking behaviour was poor for their children under five with fever, as only one-third demonstrated appropriate treatment-seeking behaviour. Further, baseline treatment-seeking behaviour for fever cases did not differ significantly between MV and NMV. Caregivers’ knowledge of malaria, malaria prevention behaviour and proximity to public health services were important determinants of appropriate treatment-seeking behaviour. At the same time, treatment at home and total cost for treatment and transportation were negatively associated with appropriate treatment-seeking behaviour. The role of the midwife was important, as most caregivers first sought their assistance for their children’s illnesses. Greater awareness and health education for caregivers are necessary, particularly on early treatment-seeking and appropriate use of health care options for fever. These findings will be utilized to improve the quality of the intervention and will be compared with follow-up data collected at a later stage to evaluate its effectiveness at the community level.
  28 in total

1.  Child malaria treatment practices among mothers in the district of Yanfolila, Sikasso region, Mali.

Authors:  M A Théra; U D'Alessandro; M Thiéro; A Ouedraogo; J Packou; O A Souleymane; M Fané; G Ade; F Alvez; O Doumbo
Journal:  Trop Med Int Health       Date:  2000-12       Impact factor: 2.622

2.  Modelling malaria treatment practices in Bangladesh using spatial statistics.

Authors:  Ubydul Haque; Lauren M Scott; Masahiro Hashizume; Emily Fisher; Rashidul Haque; Taro Yamamoto; Gregory E Glass
Journal:  Malar J       Date:  2012-03-05       Impact factor: 2.979

3.  Assessing the quality of service of village malaria workers to strengthen community-based malaria control in Cambodia.

Authors:  Junko Yasuoka; Krishna C Poudel; Kalpana Poudel-Tandukar; Chea Nguon; Po Ly; Duong Socheat; Masamine Jimba
Journal:  Malar J       Date:  2010-04-23       Impact factor: 2.979

Review 4.  Medicine sellers and malaria treatment in sub-Saharan Africa: what do they do and how can their practice be improved?

Authors:  Catherine Goodman; William Brieger; Alasdair Unwin; Anne Mills; Sylvia Meek; George Greer
Journal:  Am J Trop Med Hyg       Date:  2007-12       Impact factor: 2.345

5.  Self-treatment of malaria in a rural area of western Kenya.

Authors:  T K Ruebush; M K Kern; C C Campbell; A J Oloo
Journal:  Bull World Health Organ       Date:  1995       Impact factor: 9.408

6.  From fever to anti-malarial: the treatment-seeking process in rural Senegal.

Authors:  Lucy A Smith; Jane Bruce; Lamine Gueye; Anthony Helou; Rodio Diallo; Babacar Gueye; Caroline Jones; Jayne Webster
Journal:  Malar J       Date:  2010-11-22       Impact factor: 2.979

7.  Factors affecting treatment-seeking for febrile illness in a malaria endemic block in Boudh district, Orissa, India: policy implications for malaria control.

Authors:  Ashis Das; Tk Sundari Ravindran
Journal:  Malar J       Date:  2010-12-30       Impact factor: 2.979

8.  Social economic factors and malaria transmission in Lower Moshi, northern Tanzania.

Authors:  Asanterabi Lowassa; Humphrey D Mazigo; Aneth M Mahande; Beda J Mwang'onde; Shandala Msangi; Michael J Mahande; Epiphania E Kimaro; Eliapenda Elisante; Eliningaya J Kweka
Journal:  Parasit Vectors       Date:  2012-06-28       Impact factor: 3.876

9.  Use of over-the-counter malaria medicines in children and adults in three districts in Kenya: implications for private medicine retailer interventions.

Authors:  Timothy O Abuya; Wilfred Mutemi; Baya Karisa; Sam A Ochola; Greg Fegan; Vicki Marsh
Journal:  Malar J       Date:  2007-05-10       Impact factor: 2.979

10.  Integrating child health services into malaria control services of village malaria workers in remote Cambodia: service utilization and knowledge of malaria management of caregivers.

Authors:  Aya Hasegawa; Junko Yasuoka; Po Ly; Chea Nguon; Masamine Jimba
Journal:  Malar J       Date:  2013-08-23       Impact factor: 2.979

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  18 in total

1.  Attitudes, practices, and determinants of community care-seeking behaviours for fever/malaria episodes in the context of the implementation of multiple first-line therapies for uncomplicated malaria in the health district of Kaya, Burkina Faso.

Authors:  Jean Moise Tanga Kaboré; Mohamadou Siribié; Denise Hien; Issiaka Soulama; Nouhoun Barry; Yacouba Nombré; Frederic Dianda; Adama Baguiya; Alfred Bewendtaoré Tiono; Christian Burri; André-Marie Tchouatieu; Sodiomon Bienvenu Sirima
Journal:  Malar J       Date:  2022-05-30       Impact factor: 3.469

2.  Less Than One-Third of Caretakers Sought Formal Health Care Facilities for Common Childhood Illnesses in Ethiopia: Evidence from the 2011 Ethiopian Demographic Health Survey.

Authors:  Achamyelesh Gebretsadik; Alemayehu Worku; Yemane Berhane
Journal:  Int J Family Med       Date:  2015-07-26

3.  Treatment-seeking rates in malaria endemic countries.

Authors:  Katherine E Battle; Donal Bisanzio; Harry S Gibson; Samir Bhatt; Ewan Cameron; Daniel J Weiss; Bonnie Mappin; Ursula Dalrymple; Rosalind E Howes; Simon I Hay; Peter W Gething
Journal:  Malar J       Date:  2016-01-11       Impact factor: 2.979

4.  Individual and contextual factors associated with appropriate healthcare seeking behavior among febrile children in Tanzania.

Authors:  Juma Adinan; Damian J Damian; Neema R Mosha; Innocent B Mboya; Redempta Mamseri; Sia E Msuya
Journal:  PLoS One       Date:  2017-04-13       Impact factor: 3.240

5.  Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018.

Authors:  Afewerki Tesfahunegn; Dawit Zenebe; Alefech Addisu
Journal:  Malar J       Date:  2019-11-09       Impact factor: 2.979

6.  Predictors of Health-Seeking Behavior for Fever Cases among Caregivers of Under-Five Children in Malaria-Endemic Area of Imo State, Nigeria.

Authors:  Sampson Emilia Oluchi; Rosliza Abdul Manaf; Suriani Ismail; Theophilus Kachidelu Udeani
Journal:  Int J Environ Res Public Health       Date:  2019-10-04       Impact factor: 3.390

7.  Rural and urban disparities in health-seeking for fever in Myanmar: findings from a probability-based household survey.

Authors:  Tin Aung; Moh Moh Lwin; May Sudhinaraset; Chongyi Wei
Journal:  Malar J       Date:  2016-07-25       Impact factor: 2.979

8.  Provider and service-user perspectives of volunteer health-worker service provision in Ayeyarwady Region, Myanmar: a qualitative study.

Authors:  Nicola Watt; Aye Yupar; Paul Sender; Fiona Campbell; Helena Legido-Quigley; Natasha Howard
Journal:  BMJ Open       Date:  2016-12-09       Impact factor: 2.692

9.  Awareness of malaria and treatment-seeking behaviour among persons with acute undifferentiated fever in the endemic regions of Myanmar.

Authors:  Phyo Aung Naing; Thae Maung Maung; Jaya Prasad Tripathy; Tin Oo; Khin Thet Wai; Aung Thi
Journal:  Trop Med Health       Date:  2017-12-04

10.  Rural-urban disparities and factors associated with delayed care-seeking and testing for malaria before medication use by mothers of under-five children, Igabi LGA, Kaduna Nigeria.

Authors:  Obafemi J Babalola; Olufemi Ajumobi; IkeOluwapo O Ajayi
Journal:  Malar J       Date:  2020-08-18       Impact factor: 2.979

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