Determinants of prompt and adequate care among presumed malaria cases in a community in eastern Rwanda: a cross sectional study
© Ingabire et al. 2016
Received: 30 December 2015
Accepted: 13 April 2016
Published: 21 April 2016
In order to understand factors influencing fever/malaria management practices among community-based individuals, the study evaluated psychosocial, socio-demographic and environmental determinants of prompt and adequate healthcare-seeking behaviours.
A quantitative household (HH) survey was conducted from December 2014 to February 2015 in Ruhuha sector, Bugesera district in the Eastern province of Rwanda. HHs that reported having had at least one member who experienced a fever and/or malaria episode in the previous 3 months prior to the study were included in the analysis. Healthcare-seeking behaviours associated with the last episode of illness were analysed. Socio-demographic, health facility access, long-lasting insecticidal-treated nets (LLINs), data on malaria knowledge, data and theory of planned behaviour (TPB) related variables (attitudes, subjective norms, perceived behavioural control) with regard to fever/malaria healthcare seeking, were collected. The primary outcome was prompt and adequate care defined as: (1) seeking advice or treatment at a health facility (health centre or hospital) or from a community health worker (CHW); (2) advice or treatment seeking within same/next day of symptoms onset; (3) received a laboratory diagnosis; (4) received advice or treatment; and, (5) reported completing the prescribed dose of medication. Determinants of prompt and adequate care among presumed malaria cases were evaluated using a logistic regression analysis.
Overall, 302 (21 %) of the 1410 interviewed HHs reported at least one member as having experienced a fever or malaria within the 3 months prior to the survey. The number of HHs (where at least one member reported fever/malaria) that reported seeking advice or treatment at a health facility (health centre or hospital) or from a CHW was 249 (82.4 %). Of those who sought advice or treatment, 87.3 % had done so on same/next day of symptoms developing, 82.8 % received a laboratory diagnosis, and more than 90 % who received treatment reported completing the prescribed dosage. Prompt and adequate care was reported from 162 of the 302 HHs (53.6 %) that experienced fever or malaria for one or more HH members. Bivariate analyses showed that head of household (HoH)-related characteristics including reported knowledge of three or more malaria symptoms, having health insurance, being able to pay for medical services, use of LLINs the night before the survey, having a positive attitude, perceiving social support, as well as a high-perceived behavioural control with regard to healthcare seeking, were all significantly associated with prompt and adequate care. In the final logistic regression model, a high-perceived behavioural control (odds ratio (OR) 5.068, p = 0.042), having a health insurance (OR 2.410, p = 0.044) and having knowledge of malaria symptoms (OR 1.654, p = 0.049) significantly predicted prompt and adequate care.
To promote prompt and adequate care seeking for malaria in the area, particular emphasis should be placed on community-focused strategies that promote early malaria symptom recognition, increased health insurance coverage and enhanced perceived behavioural control with regard to healthcare-seeking.
KeywordsMalaria symptoms Healthcare seeking Community Health insurance Theory of planned behaviour Rwanda
Malaria is one of the major public health problems globally and according to the World Health Organization (WHO), about 3.2 billion people are at risk [1, 2]. Many control efforts have been deployed to reverse this high burden and between 2005 and 2015 declines in malaria incidence of 37 %, malaria-related deaths by 67 % across all age groups, and by 65 % among children aged under 5 years have been reported . Despite these achievements, the sub-Saharan African region bears a disproportionately high global malaria burden: about 90 % of malaria cases and ≥90 % of malaria deaths . In view of this, the WHO global initiative to fight malaria recommends prompt diagnostic testing, effective treatment and tracking of malaria cases to complement available scaled-up tools, including universal coverage of long-lasting insecticidal-treated nets (LLINs) and indoor residual spraying (IRS) with insecticide and treatment of malaria cases with artemisinin combination therapy (ACT) in malaria-endemic countries . Early diagnosis and prompt treatment (within 24 h of symptom onset) are therefore key factors in reducing disease duration, complications and preventing mortality [4–7]. However at community level in Rwanda, no study has described adherence to the recommended early diagnosis and prompt treatment and hence the need for an evaluation of individual healthcare-seeking behaviours and their determinants in a rural, malaria-endemic setting and improvement of malaria-related health [8, 9].
Malaria in Rwanda
In line with the sixth millennium development goals (MDGs) to fight malaria, Rwanda achieved a malaria morbidity decline from 73.5 % in 2002 to 7 % in 2012 among children under five [10, 11]. Malaria dropped from being the number one killer of children under five in 2005 to number three in 2008 and subsequently number 11 in 2011 . The country is aiming to achieve malaria pre-elimination levels by 2018. The gains in malaria reduction observed so far were associated with scaled up interventions, including treatment with ACT and deployment of vector control strategies of LLINs and IRS with special emphasis on health system strengthening from highest to local levels [10–12].
Since 2005, Rwanda scaled-up free distribution of LLINs among children under five during immunization campaigns as well as among pregnant women in antenatal care . This was followed by free universal coverage with LLINs to households (HHs) in the context of universal coverage in 2010 . Since 2010, IRS with insecticides has been used in the most malaria-endemic zones in the eastern and southern provinces of Rwanda . Lastly, case management using appropriate and effective anti-malarial drugs, such as ACT, has been adopted and scaled-up at community level as a key strategic intervention for malaria control countrywide .
Rwanda health care system
Health services in Rwanda are provided through government-supported, non-governmental and privately owned health facilities with a minimum defined services package [13, 14]. Government-funded health facilities are offered along a hierarchical structure of central (referral hospitals), intermediate (provincial health offices) and peripheral (districts hospitals, sector level health centres and village level posts) levels. Health centres serve a catchment area of an administrative sector (~20,000 people) and offer an integrated package of preventive, curative, promotional, and rehabilitation services .
To increase access to health care services, Rwanda adopted the WHO recommended integrated community case management (ICCM) through community health workers (CHWs) in 2009 . At village level, CHWs provide promotional and preventive services, including diagnosis and treatment of malaria among children under five, in addition to their other responsibilities .
With the goal of universal health coverage and achieving the MDG targets, Rwanda established a system of subsidized, community-based health insurance (CBHI) that has been a success, with around 78 % of the Rwandan population enrolling in 2010 [16, 17]. Apart from the CBHI, commonly called Mutuelles, in which ~98 % of the total population are insured, other insurance schemes include La Rwandaise d’ Assurance Maladie (RAMA), military medical insurance (MMI) and private insurances with coverage rates of 3.7, 0.6 and 0.4 %, respectively . CBHI has been rolled out since 1999, adapted in 2004 and scaled-up in 2006 . CBHI’s funding has been covered primarily by annual premiums of members based on their socio-economic status, while additional supplementary funding is provided by the Government and its partners . CBHI covers both disease prevention and health facility-based medical services and has been credited with increasing the use of medical care services while reducing household out-of-pocket spending (by ~22 %) of the total health care spending: a proportion high but close to that targeted by WHO (15–20 %) [18, 19].
Theory of planned behaviour
The theory of planned behaviour (TPB) as articulated by Ajzen Icek has been used since 1985 to conceptually explain three constructs (attitude, subjective norms and perceived behaviour control) that predict intention towards the performance of human behaviours . The TPB theory defines attitude as ‘a disposition to respond favourably or unfavourably to an object, behaviour, person, institution, or event’ . Subjective norms are defined as ‘the social influence or the impact of others on people’s perceptions and behaviours’ while perceived behaviour control refers to ‘the subjective probability that a person is capable of executing a certain course of action’ . This theory has been demonstrated to be closely linked with psychosocial and human behaviours and used to explore care-seeking behaviours for infectious diseases, such as HIV/AIDS, tuberculosis as well as other health-related problems, including nutrition and mental health [22–25]. However, few studies have reported the use of TPB in relation to malaria, and in particular with regard to healthcare seeking. Only one study has successfully explored using TPB, the impact of an education intervention on the use of malaria preventive measures .
Healthcare seeking and rationale
Healthcare-seeking behaviour is defined as ‘the series of actions that patients adopt’ in relation to their health concerns, including but not limited to symptom recognition and formulation of a treatment plan . Determinants of early or delayed malaria care seeking that have been reported previously to include knowledge gaps on malaria symptoms, socio-economic status (SES), proximity to a health facility, provider-patient relationship, drug and staff shortages, health insurance and negligence [6, 7, 27–31]. As stated above, TPB constructs of attitudes, subjective norms and perceived behavioural control have been shown to significantly influence understanding and explain psychosocial-related behaviours in health [21, 32].
Although many studies have highlighted interventions that aim to alter healthcare-seeking behaviours as appropriate for malaria control, there is a lack of empirical data describing relationships between TPB constructs and community-based presumed malaria in Rwanda and elsewhere in Africa [33–38]. Previously, close associations between malaria prevalence and factors including age, gender, fever history, and use of existing malaria preventive measures such as bed nets, have been shown, including in Rwanda [33–38]. However, no study has explored factors that are related to fever/malaria care seeking in a community setting in Rwanda to inform the country’s goal of universal health coverage and optimal community-based malaria case management. As part of a larger project, called malaria elimination project for Ruhuha (MEPR), aiming at achieving malaria pre-elimination levels using community-oriented approaches in the Eastern province of Rwanda, this study aimed at identifying predictors of prompt and adequate care seeking among community-based presumed malaria cases.
The MEPR project is being implemented in Ruhuha sector, Bugesera district, Eastern province of Rwanda. The study area has a population of estimated ~23,893 individuals living in 5098 HHs. Administratively, the area consists of 35 villages that are grouped into five cells. The area is a low-malaria-endemic setting with slide positivity rates of 23 % among symptomatic health facility cases and 5 % among community-based asymptomatic cases . Since June 2014, the MEPR project has rolled out malaria-related prevention messages provided by local Community Malaria Action Teams (CMATs) in the Ruhuha community: this presumably contributed to the increase in community knowledge.
Study design and sample size
Data for this sub-analysis was drawn from a larger cross-sectional survey. Considering a sampling frame of 4522 sector HHs generated from an enumeration survey done prior IRS in the sector, a final sample of 1410 HHs was randomly selected . Among the 1410 HHs visited, 45 HHs were omitted due to various reasons (refusal to provide informed consent, mobility outside the sector or no eligible person at HH for the time of interview) and were replaced by neighbouring HHs . This survey was conducted between December 2014 and February 2015 and respondents were heads of households (HoHs) or their spouses. For this analysis, 302 HHs with at least one family member reporting having experienced a febrile and/or presumed malaria episode in the last 3 months before the study were included and only data on the last fever/malaria episode per HH were considered.
Briefly, the team adapted a structured questionnaire based on the demographic health survey (DHS) and malaria indicator survey [12, 16]. The questionnaire was designed and formatted into open data KIT (ODK) collect set-up using English language and installed on Samsung Galaxy 2 tablets . Training and pre-testing sessions were conducted prior to the survey using locally translated (Kinyarwanda) paper forms. A team of ten field staff collected data on demographics (age, sex, occupation, education, residence), SES (occupation, ownership of house, land or animals), health insurance ownership, LLINs use, knowledge of malaria, fever management practices (initial choice of care, time to seeking advice or treatment after symptom onset, diagnosis testing before treatment, and completion of prescribed dose of medication). Scale questions were assessed based on a three point Likert scale–this was found the most appropriate during the pre-testing phase of questionnaire development. Field staff had undergone 10 days of theoretical training focusing on study objectives, content of the questionnaire and electronic data capture followed by practical sessions .
A written informed consent was solicited from HoHs or spouse prior to initiation of study procedures and participants were not provided with any form of reimbursement.
Prompt and adequate care in the context of this analysis refers to early diagnosis of recent presumed malaria cases at HH level (within same/next day), treatment of the confirmed cases with effective medicine as well as adherence to medications prescribed. To generate a composite outcome index for prompt and adequate care among HHs’ recent fever/malaria cases at HH, five initiated actions were therefore combined. These included: (1) sought advice or treatment within same/next day after fever started; (2) sought advice or treatment either at the health centre/hospital or from CHWs. Seeking advice or treatment at local drugstores was not included as no diagnostic tests are performed in those entities; (3) had a diagnostic test performed; (4) fever/malaria treatment was prescribed; and, (5) patient completed prescribed medications. The prompt and adequate care variable was subsequently dichotomized into ‘prompt = 1’ and ‘non-prompt = 0’ care.
TPB constructs (attitudes, subjective norms and perceived behavioural control) sub-items were developed based on malaria diagnosis and treatment responses. Sub-items were all graded using a three-point Likert scale (not important, important, very important). Positive answers for attitudes, subjective norms and perceived behavioural control were considered for those with responses of ‘very important’ per construct item. Therefore, a dichotomous variable for each construct was created compiling all positive answers under a final positive result and all the other responses as a negative response. The dichotomous variable was ‘Yes’ (responded very important to all sub-items) or ‘No’ (did not respond very important to all sub-items).
Attitude was measured by asking three questions on the beliefs that: (1) seeking advice or treatment within 24 h is important; (2) testing before treatment is important; and, (3) malaria medicines cure. Three questions constituted the scale on subjective norms, including (1) spouse/family support in seeking advice or treatment within 24 h of symptoms onset; (2) spouse/family support receiving a diagnosis before treatment; and, (3) spouse/family support taking medicine as prescribed when the participant or a member of the HH became sick.
Two items were identified to measure the level of perceived behavioural control including (1) feels confident to decide to go to the health centre once malaria symptoms were present; and, (2) the ability to take anti-malarial medication when diagnosed with malaria.
Comprehensive knowledge on malaria cause, symptoms, and prevention
To determine the correct knowledge of malaria transmission, options including but not limited to female mosquito Anopheles, malaria mosquito bite, cold drinks, drinking/eating dirty foods, rain, and sugar cane were considered. Correct knowledge was attributed to the participants who only reported that either the female mosquito Anopheles or malaria mosquito bites were the transmitter of the disease while not reporting any known misconceptions mentioned above.
Having ‘knowledge of malaria symptoms’ was based on reporting following symptoms: having a fever, joint pain, headache, sweating and shivering. Reporting three and above symptoms was considered adequate knowledge of symptoms and was used as a cut-off. In the final step, two categories for knowledge of malaria symptoms were created by grouping participants that listed less than three malaria symptoms (0) and those that listed three or more malaria symptoms (1).
‘Malaria prevention knowledge’ was constructed as per the standard Rwandan national malaria control strategy: those listing either LLINs and/or IRS and not mixing with other less efficacious methods were categorized as having correct knowledge on malaria prevention (1), while the remaining participants were categorized as not having enough knowledge on malaria prevention (0).
Ability to pay for medical services
Two items, namely ability to pay for medical services and medicines prescribed, were evaluated using a 3-level Likert scale (unable to pay at all, able to pay half, able to easily pay). Participants were considered as able to pay if they responded “able to easily pay” for both items. Accordingly, a composite categorical variable was created using ‘able’ (1) or ‘not able’ (0) to pay for medical services.
LLIN use, health insurance and difficulties in accessing medical services
Three additional dichotomous variables were also included in the analyses. These were whether or not participants had used LLINs the night before the survey, had a health insurance and whether or not participants experienced difficulties in accessing medical services (Yes/No). Reported difficulties were further identified using the following items: proximity of the health facility, lack of transportation means, time spent at the health facility, health insurance ownership, affordability of medical services, commodity/drugs stock outs, lack of enough health care workers.
Data were analysed using SPSS version 21.0 (IBM Corp, Armonk, NY, USA). Descriptive statistics using frequencies, mean and standard deviations were applied to summarize the data. For internal reliability checks of the TPB scales (attitude, subjective norms and perceived behavioural control), Cronbach’s alpha (α) was calculated based on the variance within scale items and the covariance of the items. A score of or above 0.70 was considered as adequate reliability . To assess associations between potential independent predictors reported by other studies to predict malaria care seeking (demographics, SES, malaria management related knowledge (cause, symptoms, prevention), LLIN use, ability to pay for medical services, ownership of health insurance, reported difficulties in accessing medical services, and TPB constructs) and the outcome variable-prompt and adequate care, bivariate logistic regression analyses were performed. All significant variables at a p value level of ≤0.25 (knowledge of malaria symptoms, LLIN use, ability to pay for medical services, ownership of health insurance, attitude, subjective norms and perceived behavioural control) were further included in a multivariate logistic regression analysis using a backward (likelihood ratio test) stepwise model. A separate multivariate logistic regression analysis was conducted in which only the three TPB variables were included as the independent variables.
The study obtained approval from the Rwanda National Ethics Committee (No. 20/RNEC/2014). Study participants were taken through an informed consent process before signing.
Distribution of head of household baseline characteristics
Sex of HoH
234 (77.5 %)
68 (22.5 %)
Age of HoH
Median (± SD)
43.3 (± 13.0)
HH member size
Median (± SD)
5.0 (± 1.9)
HH with at least one/more children under five
243 (80.4 %)
HH with at least one/more children under five with fever/malaria in the last 3 months
3 (1 %)
Family owns the house lived in
Family owns a piece of land
209 (69.2 %)
HoH main occupation
276 (91.4 %)
4 (1.3 %)
14 (4.6 %)
2 (0.7 %)
4 (1.3 %)
2 (0.7 %)
HoH highest educational level
96 (31.7 %)
179 (59.3 %)
7 (2.3 %)
Secondary or higher
20 (6.6 %)
HoH marital status
9 (3 %)
143 (47.4 %)
78 (25.8 %)
25 (8.3 %)
47 (15.6 %)
ITN ownership and use
No of HHs owning at least 1 bed net
274 (90.7 %)
No of HH that used ITN the night before survey
224 (73.2 %)
HH sprayed in the last 6 months
274 (90.7 %)
HoH health insurance ownership
270 (89.4 %)
HoH ability to pay medical services and medicines
217 (71.9 %)
Malaria control measures
The two major malaria preventive measures reported commonly were ownership and use of LLINs the night before the survey by 274 (90.7 %) and 224 (73.2 %), respectively, while in 274 (90.7 %) HH application of IRS with insecticides was reported in the 6 months before the survey.
Malaria management related knowledge
Of the 302 participants, 242 (80.1 %) had correct knowledge about how malaria is transmitted, reporting that malaria infection was transmitted by a female Anopheles mosquito bite or mosquito bite. The majority of the participants (92.1 %) reported fever as the most common malaria symptom whilst 63.4 and 41 % reported headache and joint pain, respectively.
About 152 (50.3 %) reported either LLINs or IRS as common malaria preventive measures without mentioning any other less efficacious ways of prevention.
Almost all participants (99 %) mentioned the local health centre as the common place to seek care, while 19 (6.3 %), 18 (6 %) and 11 (3.6 %) cited hospitals, CHWs and drugstores, respectively.
Among HHs with an individual reporting a fever/malaria episode, about 87.3 % reported seeking advice or treatment within same or next day of developing the symptoms while 3 and 5 % reported seeking care, >48 and <72 or more hours after fever onset, respectively. With regard to where advice or treatment was sought, 76, 3.6, 2.6, and 10.6 % reported the health centre, hospital, from the CHWs, or drugstores, respectively. A perception of fever/malaria severity was reported by more than half of participants (53 %) to be the commonest reason of advice or treatment seeking whereas mobilization by a CHW accounted for 15 participants (5 %). Overall, 250 (82.8 %) received a diagnostic test before treatment while medication was provided for 273 (90.4 %) with 278 (92.1 %) of those treated reporting to have completed their dose as prescribed.
A majority of 270 HoHs (89.4 %) reported having a health insurance while 219 (72.5 %) and 218 (72.2 %) reported being able to pay for both medical services and to pay for medicines, respectively.
Overall, 21 (7 %) reported not seeking care and about 32 % of the participants reported difficulties in accessing medical services. The reasons for difficulty in accessing healthcare included long time spent at the local health centre (14.6 %), lack of a health insurance (6.3 %), lack of enough healthcare providers (5.6 %), and being far from the health facility (3.7 %).
Attitude, subjective norms, perceived behavioural control
Descriptive statistics for TPB constructs
Important to seek care in less than 24 h
Important to have a diagnosis test before treatment
Anti-malarial medicines do cure
Favourable attitude scorea
Support by family/partner to seek care in less than 24 h
Support by family/partner to get tested before treatment
Support by family/partner to adhere to treatment
Social support scorea
Perceived behavioural control
Confident to take a decision to go to seek care
Confident to take anti-malarial medicines as prescribed if tested malaria positive
Perceived behavioural control scorea
Prompt and adequate care for presumed malaria
Descriptive statistics for prompt and adequate care
Prompt and adequate care
Sought care the same/next day after fever started
Sought care at the health centre/hospital or from CHWs
Had a diagnostic test performed
Fever/malaria experience was treated
Patient completion of prescribed medications
Composite prompt and adequate care scorea
Bivariate logistic regression on prompt and adequate care for presumed malaria
Univariate and multivariate determinants of prompt and adequate care
Univariate OR (95 % CI), p value
Multivariate OR (95 % CI), p value
1.303 (0.759–2.238), p = 0.337
Age of HoH
0.992 (0.975–1.009), p = 0.363
1.548 (0.928–2.583), p = 0.094
Education of HoH
1.104 (0.819–1.489), p = 0.517
0.968 (0.860–1.089), p = 0.587
0.586 (0.253–1.360), p = 0.213
Own a house
1.250 (0.671–2.331), p = 0.482
Own a piece of land
1.311 (0.714–2.408), p = 0.382
Reported LLIN use
1.776 (1.062–2.969), p = 0.029
1.455 (0.844–2.510), p = 0.178
Health insurance ownership
3.342 (1.491–7.492), p = 0.003
2.410 (1.026–5.660), p = 0.044
Ability to pay medical services
2.016 (1.211–3.355), p = 0.007
1.623 (0.947–2.780), p = 0.078
Difficulties in accessing medical services
0.692 (0.425–1.127), p = 0.139
Knowledge on malaria cause
Not reported either female Anopheles mosquito or mosquito bite
0.724 (0.408–1.287), p = 0.271
Knowledge on malaria symptoms
Less than three symptoms
1.735 (1.069–2.817), p = 0.026
1.654 (1.003–2.729), p = 0.049
Knowledge on malaria prevention measures
Not reported IRS and LLINs
0.916 (0.508–1.652), p = 0.771
2.350 (1.012–5.454), p = 0.047
1.433 (0.551–3.727), p = 0.461
3.267 (1.322–8.073), p = 0.010
1.691 (0.609–4.696), p = 0.313
TPB—perceived behavioural control
7.500 (1.649–34.117), p = 0.009
5.068 (1.062–24.170), p = 0.042
Only use of LLINs (OR 1.776, p = 0.029), having knowledge of three or more malaria symptoms (OR 1.735, p = 0.026), having health insurance (OR 3.342, p = 0.003), being able to pay for medical services (OR 2.016, p = 0.007), and having a positive attitude (OR 2.350, p value = 0.047), being socially supported in regard to advice or treatment seeking (OR 3.267, p = 0.010), had a high perceived behavioural control (OR 7.500 p = 0. 009) towards taking a decision to seek prompt and adequate care and take their medication as prescribed showed a possible effect on seeking and receiving prompt and adequate care.
Using a backward stepwise logistic regression, the odds of participants having knowledge of three and more malaria symptoms were 1.6 times higher than those knowing less than three malaria symptoms with regard to promptly seek care (Table 4). Those with health insurance (OR 2.4) and those with high perceived behavioural control to actually decide to seek care and taking medicines as prescribed (OR 5.0) showed significant influence to promptly seek care.
Use of LLINs, positive attitude and subjective norms in regard to healthcare lack a significant effect while a borderline significant association was observed in regard to the ability to pay for medical services (Table 4).
A logistic regression analysis in which only the three TPB variables: attitude, subjective norms, and perceived behavioural control towards prompt and adequate care, were included showed that only perceived behavioural control was borderline significant (OR 4.616, p = 0.062).
The analysis explored factors related to community-based presumed malaria care seeking. Findings have shown that ownership of health insurance, having adequate knowledge of malaria symptoms and high-perceived behavioural control in regard to taking the decision to seek care significantly predicted prompt and adequate care. The primary choice of advice or treatment for malaria in the area was the local health centre. However, 11 % of the participants reported seeking advice or treatment in private drugstores implying treatment without a confirmed diagnosis.
The finding that knowledge of malaria symptoms is associated with prompt and adequate care is corroborated by research reported elsewhere [4, 29, 30, 42–44]. Prompt and adequate care was also found to be associated with ownership of health insurance in this analysis and this is in accordance with a study conducted previously in Rwanda and Ghana in which health insurance was reported as a strong determinant of healthcare demand as a result of a reduction in out-of-pocket spending [17, 27].
Contrary to other settings [6, 28, 30, 45], individual variables of age, gender, marital status, education, and occupation were not found to be associated significantly with prompt and adequate care in this analysis. This may possibly link to the fact that the large majority of the Rwandan population have a CBHI and through this scheme have high access to the available healthcare services as highlighted above [15–17].
Multiple studies have reported a close link between geographic proximity of the health facility and prompt and adequate care seeking [6, 27, 28, 46, 47]. However, this study did not find this relationship. This is probably due to the fact that 85 % of the Rwandan population live within one-and-a-half hours of a primary healthcare unit, thus considered as having access to healthcare . Some other studies highlighted that proximity may not be enough to explain prompt and adequate care seeking alone, rather should be linked with other factors such as efficient healthcare providers and services, including the availability of medicines and provider attitudes and skills for patient counselling among others [31, 48]. However, the concept of bringing services close to the people remains important . A recent study in the same area of Rwanda showed a need among community members to mandate and train CHWs to treat adults in addition to children under five as a means to reduce the time spent seeking services or waiting for services at health facility, leading to increased loss of work hours .
Based on key findings of this analysis, a number of recommendations can be suggested. Firstly, the perceived behavioural control of TPB, which was shown to be a significant predictor of prompt and adequate care in this analysis, needs to be enhanced, for example, through guided practices and skills training . Future interventions might also include modelling best practices (through cinema shows, role plays and public lecturing) from successful stories and lessons learnt from less successful programmes to enhance the importance and intention of seeking advice or treatment within 24 h of symptom onset as well as to adhering to completing prescribed medications .
Secondly, effective and continuous educational sessions at community and health-centre level should put particular emphasis on symptom recognition to guide prompt and effective fever/malaria cases management.
Thirdly, there is a need for standardized procedures in regard to fever/malaria advice or treatment seeking in drugstores and it has been evident that private drugstores may contribute to the improvement of malaria case management elsewhere [52, 53]. Furthermore, active community participation in demanding better services during provider-patient interaction (i.e., demand for test before treatment) should be emphasized during community sensitization .
Fourthly, the importance of a CBHI in the Rwandan health system has been demonstrated in terms of increasing the use of health services . Approaches aimed at improving health insurance coverage and sustaining the system should be further studied to enable a better operationalization at all levels of healthcare provision, in collaboration with local governance.
Findings should be considered in light of some limitations. Firstly, participants provided data related to the recent fever/malaria experiences in the 3 months before the survey. These data may be influenced by recall bias. Secondly, the study team interviewed HoHs or spouses to obtain data on presumed fever/malaria cases at the HH level. However, this is a standard way of collecting data related to HH members across many studies. Thirdly, the study may not have comprehensively captured the TPB variables with the used measurements. The distributions indicated that most participants scored favourably on these constructs. Fourthly, data presented is based on participants’ self reports, which may be associated with socially desirable answers. Lastly, the study setting has been exposed to malaria preventive messages by local community malaria action teams (CMATs), which contributed possibly to the high level of community awareness in regard to malaria compared to the rest of the country. Study findings may therefore not be generalizable to all settings in Rwanda.
Despite the limitations, an advantage of this community-based study provided real field findings rather than restricting data to a health facility setting that may not be population representative. Future studies may explore healthcare providers’ perspectives regarding appropriate health service delivery as complementary to the beneficiary perspectives on fever/malaria care seeking explored in the current analysis.
The study demonstrated that about half of the participants sought prompt and adequate care at the health centre, or hospital or CHWs within same/next day of symptom onset, received prompt diagnosis and treatment and reported completing the prescribed medication dose. HoH malaria symptom recognition, perceived behavioural control and ownership of health insurance significantly contributed to prompt and adequate care. Strategies of strengthening educational sessions with regard to the highlighted factors and increasing the coverage of CBHI at community levels should be developed.
artemisinin-based combination therapy
community based health insurance
community health workers
community malaria action teams
demographic health survey
head of household
integrated community case management
indoor residual spraying
long lasting insecticidal nets
millennium development goals
malaria elimination program for Ruhuha
military medical insurance
open data kit
la rwandaise d’ assurance maladie
theory of planned behaviour
World Health Organization
All authors participated in the conception of study and research design. CMI, FK, EH, and AR performed field activities. CMI and BVDB carried out statistical data analysis. CMI drafted the manuscript. BVDB, CM, PM, CJMK, LM, MVV, and JA contributed substantially to the revision of the paper. All authors have read and approved the final manuscript.
We acknowledge Ruhuha health centre, Ruhuha administrative sector as well as study participants. WOTRO (Grant # SA 358001) Science for Global Development provided the financial support.
The authors declare that they have no competing interests.
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- Alonso PL, Tanner M. Public health challenges and prospects for malaria control and elimination. Nat Med. 2013;19:150–5.View ArticlePubMedGoogle Scholar
- WHO. Malaria Factsheet No 94. Geneva: World Health Organization; 2015.Google Scholar
- WHO. T3: Test. Treat. Track. Scaling up diagnostic testing, treatment and surveillance for malaria. Geneva: World Health Organization; 2012.Google Scholar
- Salah MT, Adam I, Malik EM. Care-seeking behavior for fever in children under 5 years in an urban area in eastern Sudan. J Family Comm Med. 2007;14:25–8.Google Scholar
- Dida N, Darega B, Abebe A. Treatment-seeking behavior and associated factors among malaria suspected patients in Bale Zone, Southeast Ethiopia: institution-based cross-sectional study. J Fam Med. 2015;2:5.Google Scholar
- Geldsetzer P, Williams TC, Kirolos A, Mitchell S, Ratcliffe LA, Kohli-Lynch MK, et al. The recognition of and care seeking behaviour for childhood illness in developing countries: a systematic review. PLoS ONE. 2014;9:e93427.View ArticlePubMedPubMed CentralGoogle Scholar
- Kassile T, Lokina R, Mujinja P, Mmbando BP. Determinants of delay in care seeking among children under five with fever in Dodoma region, central Tanzania: a cross-sectional study. Malar J. 2014;13:348.View ArticlePubMedPubMed CentralGoogle Scholar
- MacKian S. A review of health seeking behaviour: problems and prospects. UK Health Development Programme; 2003.Google Scholar
- Shaikh BT. Understanding social determinants of health seeking behaviours, providing a rational framework for health policy and systems development. J Pak Med Assoc. 2008;58:33–6.PubMedGoogle Scholar
- Rwanda national malaria control programme. Rwanda Malaria Control Strategic Plan July 2013- June 2018. 2012.Google Scholar
- MDG 6: combat HIV/AIDS, malaria and other diseases. Geneva: World Health Organization [http://www.who.int/topics/millennium_development_goals/diseases/en/] Accessed 10 July 2015.
- Rwanda Ministry of Health: Malaria indicator survey 2013. 2014.Google Scholar
- Rwanda Ministry of Health: Rwanda Service Provision Assessment Survey. 2001.Google Scholar
- Rwanda Ministry of Health: Third Health Sector Strategic Plan 2012–2018.Google Scholar
- Rwanda Ministry of Health: National Community Health Strategic Plan 2013–2018. 2013.Google Scholar
- Rwanda National Institute of Statistics: Rwanda Demographic and Health Survey. 2010.Google Scholar
- Lu C, Chin B, Lewandowski JL, Basinga P, Hirschhorn LR, Hill K, et al. Towards universal health coverage: an evaluation of Rwanda Mutuelles in its first 8 years. PLoS ONE. 2012;7:e39282.View ArticlePubMedPubMed CentralGoogle Scholar
- Lagomarsino G, Garabrant A, Adyas A, Muga R, Otoo N. Moving towards universal health coverage: health insurance reforms in nine developing countries in Africa and Asia. Lancet. 2012;380:933–43.View ArticlePubMedGoogle Scholar
- Odeyemi IAO. Community-based health insurance programmes and the national health insurance scheme of Nigeria: challenges to uptake and integration. Int J Equity Health. 2014;13:20.View ArticlePubMedPubMed CentralGoogle Scholar
- Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50:179–211.View ArticleGoogle Scholar
- Bartholomew LKPG, Kork G, Gottlieb NH, Fernandez ME. Planning health promotion programs: an intervention mapping approach. 3rd ed. Wiley: Jossey-Bass; 2011.Google Scholar
- Mak HW, Davis JM. The application of the theory of planned behavior to help-seeking intention in a Chinese society. Soc Psychiatr Psychiatr Epidemiol. 2014;49:1501–15.View ArticleGoogle Scholar
- Riebl SK, Estabrooks PA, Dunsmore JC, Savla J, Frisard MI, Dietrich AM, et al. A systematic literature review and meta-analysis: the theory of planned behavior’s application to understand and predict nutrition-related behaviors in youth. Eat Behav. 2015;18:160–78.View ArticlePubMedGoogle Scholar
- Addisu Y, Birhanu Z, Tilahun D, Assefa T. Predictors of treatment seeking intention among people with cough in East Wollega, Ethiopia based on the theory of planned behavior: a community based cross-sectional study. Ethiop J Health Sci. 2014;24:131–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Mirkuzie A, Sisay M, Moland K, Astrom A. Applying the theory of planned behaviour to explain HIV testing in antenatal settings in Addis Ababa—a cohort study. BMC Health Services Res. 2011;11:196.View ArticleGoogle Scholar
- Khojasteh MAZI, Rakhshani F, Shahrakipour M, Sepehrvand B, Alizadeh SH. The effect of health education according to the theory of planned behavior on malaria preventive behavior in rural men of Chabahar. J Res Health. 2013;2:236–45.Google Scholar
- Fenny AP, Asante FA, Enemark U, Hansen KS. Malaria care seeking behavior of individuals in Ghana under the NHIS: are we back to the use of informal care? BMC Public Health. 2015;15:370.View ArticlePubMedPubMed CentralGoogle Scholar
- Das A, Ravindran TS. Factors affecting treatment-seeking for febrile illness in a malaria endemic block in Boudh district, Orissa, India: policy implications for malaria control. Malar J. 2010;9:377.View ArticlePubMedPubMed CentralGoogle Scholar
- Kinung’hi SM, Mashauri F, Mwanga JR, Nnko SE, Kaatano GM, Malima R, et al. Knowledge, attitudes and practices about malaria among communities: comparing epidemic and non-epidemic prone communities of Muleba district, North-western Tanzania. BMC Public Health. 2010;10:395.View ArticlePubMedPubMed CentralGoogle Scholar
- Deressa W, Ali A, Berhane Y. Household and socioeconomic factors associated with childhood febrile illnesses and treatment seeking behaviour in an area of epidemic malaria in rural Ethiopia. Trans R Soc Trop Med Hyg. 2007;101:939–47.View ArticlePubMedGoogle Scholar
- Chuma J, Okungu V, Molyneux C. Barriers to prompt and effective malaria treatment among the poorest population in Kenya. Malar J. 2010;9:144.View ArticlePubMedPubMed CentralGoogle Scholar
- Shope JT, Marcoux BC. Application of the theory of planned behavior to adolescent use and misuse of alcohol. Health Educ Res. 1997;12:323–31.View ArticleGoogle Scholar
- Ingabire C, Alaii J, Hakizimana E, Kateera F, Muhimuzi D, Nieuwold I, et al. Community mobilization for malaria elimination: application of an open space methodology in Ruhuha sector. Rwanda. Malar J. 2014;13:167.View ArticlePubMedGoogle Scholar
- Ingabire C, Rulisa A, Van Kempen L, Muvunyi C, Koenraadt C, Van Vugt M, et al. Factors impeding the acceptability and use of malaria preventive measures: implications for malaria elimination in eastern Rwanda. Malar J. 2015;14:136.View ArticlePubMedPubMed CentralGoogle Scholar
- Kateera F, Mens P, Hakizimana E, Ingabire C, Muragijemariya L, Karinda P, et al. Malaria parasite carriage and risk determinants in a rural population: a malariometric survey in Rwanda. Malar J. 2015;14:16.View ArticlePubMedPubMed CentralGoogle Scholar
- Mawili-Mboumba DP, Bouyou Akotet MK, Kendjo E, Nzamba J, Medang MO, Mbina JR, et al. Increase in malaria prevalence and age of at risk population in different areas of Gabon. Malar J. 2013;12:3.View ArticlePubMedPubMed CentralGoogle Scholar
- SoleimaniAhmadi M, Vatandoost H, Shaeghi M, Raeisi A, Abedi F, Eshraghian MR, et al. Effects of educational intervention on long-lasting insecticidal nets use in a malarious area, southeast Iran. Acta Med Iran. 2012;50:279–87.Google Scholar
- Garley AE, Ivanovich E, Eckert E, Negroustoueva S, Ye Y. Gender differences in the use of insecticide-treated nets after a universal free distribution campaign in Kano State, Nigeria: post-campaign survey results. Malar J. 2013;12:119.View ArticlePubMedPubMed CentralGoogle Scholar
- Raja A, Tridane A, Gaffar A, Lindquist T, Pribadi K. Android and ODK based data collection framework to aid in epidemiological analysis. Online J Public Health Inform. 2014;5:228.PubMedPubMed CentralGoogle Scholar
- Kateera F, Ingabire CM, Hakizimana E, Rulisa A, Karinda P, Grobusch MP, et al. Long-lasting insecticidal net source, ownership and use in the context of universal coverage: a household survey in eastern Rwanda. Malar J. 2015;14:390.View ArticlePubMedPubMed CentralGoogle Scholar
- Field A. Discovering statistics using SPSS. 3rd ed. London: SAGE Publications; 2009.Google Scholar
- Uzochukwu BSC, Onwujekwe OE. Socio-economic differences and health seeking behaviour for the diagnosis and treatment of malaria: a case study of four local government areas operating the Bamako initiative programme in south-east Nigeria. Int J Equity Health. 2004;3:6.View ArticlePubMedPubMed CentralGoogle Scholar
- Chipwaza B, Mugasa JP, Mayumana I, Amuri M, Makungu C, Gwakisa PS. Community knowledge and attitudes and health workers’ practices regarding non-malaria febrile illnesses in eastern Tanzania. PLoS Negl Trop Dis. 2014;8:e2896.View ArticlePubMedPubMed CentralGoogle Scholar
- NabyongaOrem J, Mugisha F, Okui A, Musango L, Kirigia J. Health care seeking patterns and determinants of out-of-pocket expenditure for Malaria for the children under-five in Uganda. Malar J. 2013;12:175.View ArticleGoogle Scholar
- Satitvipawee P, Wongkhang W, Pattanasin S, Hoithong P, Bhumiratana A. Predictors of malaria-association with rubber plantations in Thailand. BMC Public Health. 2012;12:1115.View ArticlePubMedPubMed CentralGoogle Scholar
- Al-Mandhari A, Al-Adawi S, Al-Zakwani I, Al-Shafaee M, Eloul L. Impact of geographical proximity on health care seeking behaviour in Northern Oman. Sultan Qaboos Univ Med J. 2008;8:310–8.PubMedPubMed CentralGoogle Scholar
- Al-Taiar A, Clark A, Longenecker J, Whitty C. Physical accessibility and utilization of health services in Yemen. Int J Health Geogr. 2010;9:38.View ArticlePubMedPubMed CentralGoogle Scholar
- Halwindi H, Siziya S, Magnussen P, Olsen A. Factors perceived by caretakers as barriers to health care for under-five children in Mazabuka District, Zambia. ISRN Trop Med. 2013;2013:905836.View ArticleGoogle Scholar
- Guagliardo MF. Spatial accessibility of primary care: concepts, methods and challenges. I Int J Health Geogr. 2004;3:1–13.View ArticleGoogle Scholar
- Gist ME, Mitchell TR. Self-efficacy: a theoretical analysis of its determinants and malleability. Acad Manag Rev. 1992;17:183–211.Google Scholar
- Hetzel MW, Iteba N, Makemba A, Mshana C, Lengeler C, Obrist B, et al. Understanding and improving access to prompt and effective malaria treatment and care in rural Tanzania: the ACCESS Programme. Malar J. 2007;6:83.View ArticlePubMedPubMed CentralGoogle Scholar
- Goodman C, Brieger W, Unwin A, Mills A, Meek S, Greer G. Medicine sellers and malaria treatment in sub-Saharan Africa: what do they do and how can their practice be improved? Am J Trop Med Hyg. 2007;77:203–18.PubMedPubMed CentralGoogle Scholar
- Tavrow P, Shabahang J, Makama S. Vendor-to-vendor education to improve malaria treatment by private drug outlets in Bungoma District, Kenya. Malar J. 2003;2:10.View ArticlePubMedPubMed CentralGoogle Scholar